From ef6f752ec2684e1ebb7bd4df38495a76c170668b Mon Sep 17 00:00:00 2001 From: antblood Date: Wed, 22 Jul 2020 11:04:42 +0530 Subject: [PATCH 001/151] testing --- query/query.go | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/query/query.go b/query/query.go index 81d52375a2d..79f7c9da1be 100644 --- a/query/query.go +++ b/query/query.go @@ -1985,6 +1985,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { defer stop() if sg.Attr == "uid" { + fmt.Println("inside sg.Attr") // We dont need to call ProcessGraph for uid, as we already have uids // populated from parent and there is nothing to process but uidMatrix // and values need to have the right sizes so that preTraverse works. @@ -1992,6 +1993,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { rch <- nil return } + fmt.Println("outside sg.Attr") var err error switch { case parent == nil && sg.SrcFunc != nil && sg.SrcFunc.Name == "uid": @@ -2696,12 +2698,14 @@ func (req *Request) ProcessQuery(ctx context.Context) (err error) { for i := 0; i < len(req.Subgraphs) && numQueriesDone < len(req.Subgraphs); i++ { errChan := make(chan error, len(req.Subgraphs)) var idxList []int + fmt.Println("i ", i) // If we have N blocks in a query, it can take a maximum of N iterations for all of them // to be executed. for idx := 0; idx < len(req.Subgraphs); idx++ { if hasExecuted[idx] { continue } + fmt.Println("idx ", idx) sg := req.Subgraphs[idx] // Check the list for the requires variables. if !canExecute(idx) { @@ -2738,6 +2742,8 @@ func (req *Request) ProcessQuery(ctx context.Context) (err error) { default: go ProcessGraph(ctx, sg, nil, errChan) } + time.Sleep(time.Second) + fmt.Println("uids ", sg.DestUIDs) } var ferr error From 74bd19dedd6bf6cadc18ad4b04d25a51750f50ab Mon Sep 17 00:00:00 2001 From: antblood Date: Wed, 22 Jul 2020 19:46:42 +0530 Subject: [PATCH 002/151] testing --- query/query.go | 22 +++++++++++++--------- query/recurse.go | 4 ++-- query/shortest.go | 2 +- worker/task.go | 2 ++ 4 files changed, 18 insertions(+), 12 deletions(-) diff --git a/query/query.go b/query/query.go index 79f7c9da1be..a56c351988c 100644 --- a/query/query.go +++ b/query/query.go @@ -1972,7 +1972,8 @@ func expandSubgraph(ctx context.Context, sg *SubGraph) ([]*SubGraph, error) { // ProcessGraph processes the SubGraph instance accumulating result for the query // from different instances. Note: taskQuery is nil for root node. -func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { +func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, flag int) { + fmt.Println("first uids ", sg.SrcUIDs, " ", flag) var suffix string if len(sg.Params.Alias) > 0 { suffix += "." + sg.Params.Alias @@ -1985,7 +1986,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { defer stop() if sg.Attr == "uid" { - fmt.Println("inside sg.Attr") + fmt.Println("inside sg.Attr ", sg.Attr, " ", flag) // We dont need to call ProcessGraph for uid, as we already have uids // populated from parent and there is nothing to process but uidMatrix // and values need to have the right sizes so that preTraverse works. @@ -1993,7 +1994,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { rch <- nil return } - fmt.Println("outside sg.Attr") + fmt.Println("outside sg.Attr ", sg.Attr, " ", flag) var err error switch { case parent == nil && sg.SrcFunc != nil && sg.SrcFunc.Name == "uid": @@ -2038,9 +2039,11 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { // when multiple filters replace their sg.DestUIDs sg.DestUIDs = &pb.List{Uids: sg.SrcUIDs.Uids} default: + fmt.Println("srcUIDs\n", sg.SrcUIDs) isInequalityFn := sg.SrcFunc != nil && isInequalityFn(sg.SrcFunc.Name) switch { case isInequalityFn && sg.SrcFunc.IsValueVar: + // This is a ineq function which uses a value variable. err = sg.applyIneqFunc() if parent != nil { @@ -2128,8 +2131,8 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { filter.SrcUIDs = sg.DestUIDs // Passing the pointer is okay since the filter only reads. - filter.Params.ParentVars = sg.Params.ParentVars // Pass to the child. - go ProcessGraph(ctx, filter, sg, filterChan) + // filter.Params.ParentVars = sg.Params.ParentVars // Pass to the child. + go ProcessGraph(ctx, filter, sg, filterChan, flag+10000) } var filterErr error @@ -2252,7 +2255,8 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { // We dont have to execute these nodes. continue } - go ProcessGraph(ctx, child, sg, childChan) + fmt.Println("++++ ", sg.Params.AfterUID, " +++++") + go ProcessGraph(ctx, child, sg, childChan, flag+i+10000) } var childErr error @@ -2282,7 +2286,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { rch <- nil return } - + fmt.Println("last uids ", sg.SrcUIDs, " ", flag) rch <- childErr } @@ -2740,9 +2744,9 @@ func (req *Request) ProcessQuery(ctx context.Context) (err error) { errChan <- recurse(ctx, sg) }() default: - go ProcessGraph(ctx, sg, nil, errChan) + fmt.Println("++++ ", sg.Params.AfterUID, " +++++") + go ProcessGraph(ctx, sg, nil, errChan, 300+idx*10+i) } - time.Sleep(time.Second) fmt.Println("uids ", sg.DestUIDs) } diff --git a/query/recurse.go b/query/recurse.go index 40a4475c117..9a36edf3aa2 100644 --- a/query/recurse.go +++ b/query/recurse.go @@ -41,7 +41,7 @@ func (start *SubGraph) expandRecurse(ctx context.Context, maxDepth uint64) error start.Children = start.Children[:0] // Process the root first. - go ProcessGraph(ctx, start, nil, rrch) + go ProcessGraph(ctx, start, nil, rrch, -1) select { case err = <-rrch: if err != nil { @@ -80,7 +80,7 @@ func (start *SubGraph) expandRecurse(ctx context.Context, maxDepth uint64) error rrch := make(chan error, len(exec)) for _, sg := range exec { - go ProcessGraph(ctx, sg, dummy, rrch) + go ProcessGraph(ctx, sg, dummy, rrch, -1) } var recurseErr error diff --git a/query/shortest.go b/query/shortest.go index 35505af5e35..3ee47cadb24 100644 --- a/query/shortest.go +++ b/query/shortest.go @@ -171,7 +171,7 @@ func (sg *SubGraph) expandOut(ctx context.Context, } rrch := make(chan error, len(exec)) for _, subgraph := range exec { - go ProcessGraph(ctx, subgraph, dummy, rrch) + go ProcessGraph(ctx, subgraph, dummy, rrch, -1) } for range exec { diff --git a/worker/task.go b/worker/task.go index 5d0c1669df4..2168d0243c2 100644 --- a/worker/task.go +++ b/worker/task.go @@ -19,6 +19,7 @@ package worker import ( "bytes" "context" + "fmt" "sort" "strconv" "strings" @@ -979,6 +980,7 @@ func (qs *queryState) helpProcessTask(ctx context.Context, q *pb.Query, gid uint if srcFn.fnType == hasFn && srcFn.isFuncAtRoot { span.Annotate(nil, "handleHasFunction") + fmt.Println("inside handleHasFunction if ", q.AfterUid) if err := qs.handleHasFunction(ctx, q, out, srcFn); err != nil { return nil, err } From af5ad08d95f395cea178e0906ddf2793bfcd44da Mon Sep 17 00:00:00 2001 From: antblood Date: Wed, 22 Jul 2020 21:42:17 +0530 Subject: [PATCH 003/151] testing --- query/query.go | 9 ++++++--- worker/task.go | 2 -- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/query/query.go b/query/query.go index a56c351988c..6974f27b867 100644 --- a/query/query.go +++ b/query/query.go @@ -1973,7 +1973,6 @@ func expandSubgraph(ctx context.Context, sg *SubGraph) ([]*SubGraph, error) { // ProcessGraph processes the SubGraph instance accumulating result for the query // from different instances. Note: taskQuery is nil for root node. func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, flag int) { - fmt.Println("first uids ", sg.SrcUIDs, " ", flag) var suffix string if len(sg.Params.Alias) > 0 { suffix += "." + sg.Params.Alias @@ -1986,7 +1985,6 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, fla defer stop() if sg.Attr == "uid" { - fmt.Println("inside sg.Attr ", sg.Attr, " ", flag) // We dont need to call ProcessGraph for uid, as we already have uids // populated from parent and there is nothing to process but uidMatrix // and values need to have the right sizes so that preTraverse works. @@ -1994,18 +1992,21 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, fla rch <- nil return } - fmt.Println("outside sg.Attr ", sg.Attr, " ", flag) + var err error switch { case parent == nil && sg.SrcFunc != nil && sg.SrcFunc.Name == "uid": + fmt.Println("case 1 ", sg.Params.AfterUID) // I'm root and I'm using some variable that has been populated. // Retain the actual order in uidMatrix. But sort the destUids. if sg.SrcUIDs != nil && len(sg.SrcUIDs.Uids) != 0 { + fmt.Println("inside if") // I am root. I don't have any function to execute, and my // result has been prepared for me already by list passed by the user. // uidmatrix retains the order. SrcUids are sorted (in newGraph). sg.DestUIDs = sg.SrcUIDs } else { + fmt.Println("inside else") // Populated variable. o := append(sg.DestUIDs.Uids[:0:0], sg.DestUIDs.Uids...) sg.uidMatrix = []*pb.List{{Uids: o}} @@ -2014,6 +2015,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, fla }) } case sg.Attr == "": + fmt.Println("case 2 ", sg.Params.AfterUID) // This is when we have uid function in children. if sg.SrcFunc != nil && sg.SrcFunc.Name == "uid" { // If its a uid() filter, we just have to intersect the SrcUIDs with DestUIDs @@ -2039,6 +2041,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, fla // when multiple filters replace their sg.DestUIDs sg.DestUIDs = &pb.List{Uids: sg.SrcUIDs.Uids} default: + fmt.Println("case 3 ", sg.Params.AfterUID) fmt.Println("srcUIDs\n", sg.SrcUIDs) isInequalityFn := sg.SrcFunc != nil && isInequalityFn(sg.SrcFunc.Name) switch { diff --git a/worker/task.go b/worker/task.go index 2168d0243c2..5d0c1669df4 100644 --- a/worker/task.go +++ b/worker/task.go @@ -19,7 +19,6 @@ package worker import ( "bytes" "context" - "fmt" "sort" "strconv" "strings" @@ -980,7 +979,6 @@ func (qs *queryState) helpProcessTask(ctx context.Context, q *pb.Query, gid uint if srcFn.fnType == hasFn && srcFn.isFuncAtRoot { span.Annotate(nil, "handleHasFunction") - fmt.Println("inside handleHasFunction if ", q.AfterUid) if err := qs.handleHasFunction(ctx, q, out, srcFn); err != nil { return nil, err } From 81565aee76895800653a560fb0256eebebd8ab06 Mon Sep 17 00:00:00 2001 From: antblood Date: Thu, 23 Jul 2020 02:51:13 +0530 Subject: [PATCH 004/151] checking afterUID in case of UIDs also --- query/query.go | 30 +++++++++++------------------- query/recurse.go | 4 ++-- query/shortest.go | 2 +- 3 files changed, 14 insertions(+), 22 deletions(-) diff --git a/query/query.go b/query/query.go index 6974f27b867..1a91dd95c37 100644 --- a/query/query.go +++ b/query/query.go @@ -1972,7 +1972,7 @@ func expandSubgraph(ctx context.Context, sg *SubGraph) ([]*SubGraph, error) { // ProcessGraph processes the SubGraph instance accumulating result for the query // from different instances. Note: taskQuery is nil for root node. -func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, flag int) { +func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { var suffix string if len(sg.Params.Alias) > 0 { suffix += "." + sg.Params.Alias @@ -1992,21 +1992,17 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, fla rch <- nil return } - var err error switch { case parent == nil && sg.SrcFunc != nil && sg.SrcFunc.Name == "uid": - fmt.Println("case 1 ", sg.Params.AfterUID) // I'm root and I'm using some variable that has been populated. // Retain the actual order in uidMatrix. But sort the destUids. if sg.SrcUIDs != nil && len(sg.SrcUIDs.Uids) != 0 { - fmt.Println("inside if") // I am root. I don't have any function to execute, and my // result has been prepared for me already by list passed by the user. // uidmatrix retains the order. SrcUids are sorted (in newGraph). sg.DestUIDs = sg.SrcUIDs } else { - fmt.Println("inside else") // Populated variable. o := append(sg.DestUIDs.Uids[:0:0], sg.DestUIDs.Uids...) sg.uidMatrix = []*pb.List{{Uids: o}} @@ -2014,8 +2010,12 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, fla return sg.DestUIDs.Uids[i] < sg.DestUIDs.Uids[j] }) } + i := 0 + for sg.DestUIDs.Uids[i] < sg.Params.AfterUID && i < len(sg.SrcUIDs.Uids) { + i++ + } + sg.DestUIDs.Uids = sg.DestUIDs.Uids[i:] case sg.Attr == "": - fmt.Println("case 2 ", sg.Params.AfterUID) // This is when we have uid function in children. if sg.SrcFunc != nil && sg.SrcFunc.Name == "uid" { // If its a uid() filter, we just have to intersect the SrcUIDs with DestUIDs @@ -2041,12 +2041,9 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, fla // when multiple filters replace their sg.DestUIDs sg.DestUIDs = &pb.List{Uids: sg.SrcUIDs.Uids} default: - fmt.Println("case 3 ", sg.Params.AfterUID) - fmt.Println("srcUIDs\n", sg.SrcUIDs) isInequalityFn := sg.SrcFunc != nil && isInequalityFn(sg.SrcFunc.Name) switch { case isInequalityFn && sg.SrcFunc.IsValueVar: - // This is a ineq function which uses a value variable. err = sg.applyIneqFunc() if parent != nil { @@ -2134,8 +2131,8 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, fla filter.SrcUIDs = sg.DestUIDs // Passing the pointer is okay since the filter only reads. - // filter.Params.ParentVars = sg.Params.ParentVars // Pass to the child. - go ProcessGraph(ctx, filter, sg, filterChan, flag+10000) + filter.Params.ParentVars = sg.Params.ParentVars // Pass to the child. + go ProcessGraph(ctx, filter, sg, filterChan) } var filterErr error @@ -2258,8 +2255,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, fla // We dont have to execute these nodes. continue } - fmt.Println("++++ ", sg.Params.AfterUID, " +++++") - go ProcessGraph(ctx, child, sg, childChan, flag+i+10000) + go ProcessGraph(ctx, child, sg, childChan) } var childErr error @@ -2289,7 +2285,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error, fla rch <- nil return } - fmt.Println("last uids ", sg.SrcUIDs, " ", flag) + rch <- childErr } @@ -2705,14 +2701,12 @@ func (req *Request) ProcessQuery(ctx context.Context) (err error) { for i := 0; i < len(req.Subgraphs) && numQueriesDone < len(req.Subgraphs); i++ { errChan := make(chan error, len(req.Subgraphs)) var idxList []int - fmt.Println("i ", i) // If we have N blocks in a query, it can take a maximum of N iterations for all of them // to be executed. for idx := 0; idx < len(req.Subgraphs); idx++ { if hasExecuted[idx] { continue } - fmt.Println("idx ", idx) sg := req.Subgraphs[idx] // Check the list for the requires variables. if !canExecute(idx) { @@ -2747,10 +2741,8 @@ func (req *Request) ProcessQuery(ctx context.Context) (err error) { errChan <- recurse(ctx, sg) }() default: - fmt.Println("++++ ", sg.Params.AfterUID, " +++++") - go ProcessGraph(ctx, sg, nil, errChan, 300+idx*10+i) + go ProcessGraph(ctx, sg, nil, errChan) } - fmt.Println("uids ", sg.DestUIDs) } var ferr error diff --git a/query/recurse.go b/query/recurse.go index 9a36edf3aa2..40a4475c117 100644 --- a/query/recurse.go +++ b/query/recurse.go @@ -41,7 +41,7 @@ func (start *SubGraph) expandRecurse(ctx context.Context, maxDepth uint64) error start.Children = start.Children[:0] // Process the root first. - go ProcessGraph(ctx, start, nil, rrch, -1) + go ProcessGraph(ctx, start, nil, rrch) select { case err = <-rrch: if err != nil { @@ -80,7 +80,7 @@ func (start *SubGraph) expandRecurse(ctx context.Context, maxDepth uint64) error rrch := make(chan error, len(exec)) for _, sg := range exec { - go ProcessGraph(ctx, sg, dummy, rrch, -1) + go ProcessGraph(ctx, sg, dummy, rrch) } var recurseErr error diff --git a/query/shortest.go b/query/shortest.go index 3ee47cadb24..35505af5e35 100644 --- a/query/shortest.go +++ b/query/shortest.go @@ -171,7 +171,7 @@ func (sg *SubGraph) expandOut(ctx context.Context, } rrch := make(chan error, len(exec)) for _, subgraph := range exec { - go ProcessGraph(ctx, subgraph, dummy, rrch, -1) + go ProcessGraph(ctx, subgraph, dummy, rrch) } for range exec { From 5847518f0c2a959e741a8a2534071d0b96e6c1c3 Mon Sep 17 00:00:00 2001 From: antblood Date: Thu, 23 Jul 2020 12:10:49 +0530 Subject: [PATCH 005/151] swaped conditions in for loop --- query/query.go | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/query/query.go b/query/query.go index 1a91dd95c37..dd8d2d0ebd1 100644 --- a/query/query.go +++ b/query/query.go @@ -2011,7 +2011,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { }) } i := 0 - for sg.DestUIDs.Uids[i] < sg.Params.AfterUID && i < len(sg.SrcUIDs.Uids) { + for i < len(sg.SrcUIDs.Uids) && sg.DestUIDs.Uids[i] < sg.Params.AfterUID { i++ } sg.DestUIDs.Uids = sg.DestUIDs.Uids[i:] From f7e42caefa365d12f4d3e116f8833c9383fdd293 Mon Sep 17 00:00:00 2001 From: antblood Date: Thu, 23 Jul 2020 13:51:51 +0530 Subject: [PATCH 006/151] shifted the after uid part inside else condition --- query/query.go | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/query/query.go b/query/query.go index dd8d2d0ebd1..b21d68b3412 100644 --- a/query/query.go +++ b/query/query.go @@ -2009,12 +2009,14 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { sort.Slice(sg.DestUIDs.Uids, func(i, j int) bool { return sg.DestUIDs.Uids[i] < sg.DestUIDs.Uids[j] }) + if sg.Params.AfterUID > 0 { + i := 0 + for i < len(sg.SrcUIDs.Uids) && sg.DestUIDs.Uids[i] <= sg.Params.AfterUID { + i++ + } + sg.DestUIDs.Uids = sg.DestUIDs.Uids[i:] + } } - i := 0 - for i < len(sg.SrcUIDs.Uids) && sg.DestUIDs.Uids[i] < sg.Params.AfterUID { - i++ - } - sg.DestUIDs.Uids = sg.DestUIDs.Uids[i:] case sg.Attr == "": // This is when we have uid function in children. if sg.SrcFunc != nil && sg.SrcFunc.Name == "uid" { From bd2dfb77e9ce9a08cfb08a24ff0b81e512421da9 Mon Sep 17 00:00:00 2001 From: antblood Date: Thu, 23 Jul 2020 15:27:12 +0530 Subject: [PATCH 007/151] changed if condition --- query/query.go | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/query/query.go b/query/query.go index b21d68b3412..8eb3032e86e 100644 --- a/query/query.go +++ b/query/query.go @@ -2011,7 +2011,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { }) if sg.Params.AfterUID > 0 { i := 0 - for i < len(sg.SrcUIDs.Uids) && sg.DestUIDs.Uids[i] <= sg.Params.AfterUID { + for i < len(sg.DestUIDs.Uids) && sg.DestUIDs.Uids[i] <= sg.Params.AfterUID { i++ } sg.DestUIDs.Uids = sg.DestUIDs.Uids[i:] From fc5927bbbe9f13a9e15fa9ea62075df6120eb45d Mon Sep 17 00:00:00 2001 From: Anurag Date: Thu, 23 Jul 2020 22:55:02 +0530 Subject: [PATCH 008/151] chore: Add remove-orphans flag to docker compose and update tests to use python3 (#6059) --- contrib/scripts/functions.sh | 4 ++-- contrib/scripts/goldendata-queries.sh | 2 +- dgraph/cmd/bulk/systest/test-bulk-schema.sh | 9 ++++----- systest/1million/test-reindex.sh | 6 +++--- systest/21million/test-21million.sh | 4 ++-- systest/bgindex/test-bgindex.sh | 6 +++--- 6 files changed, 15 insertions(+), 16 deletions(-) diff --git a/contrib/scripts/functions.sh b/contrib/scripts/functions.sh index 5a465781d99..f2ac6c14a76 100755 --- a/contrib/scripts/functions.sh +++ b/contrib/scripts/functions.sh @@ -54,6 +54,6 @@ function stopCluster { function loginWithGroot() { curl -s -XPOST localhost:8180/login -d '{"userid": "groot","password": "password"}' \ - | python -c \ - "import json; resp = raw_input(); data = json.loads(resp); print data['data']['accessJWT']" + | python3 -c \ + "import json; resp = input(); data = json.loads(resp); print(data['data']['accessJWT'])" } diff --git a/contrib/scripts/goldendata-queries.sh b/contrib/scripts/goldendata-queries.sh index f60ec83eebb..d47b7564803 100755 --- a/contrib/scripts/goldendata-queries.sh +++ b/contrib/scripts/goldendata-queries.sh @@ -34,7 +34,7 @@ function run_index_test { timeout=$(( timeout * 2 )) done - NUM=$(echo $N | python -m json.tool | grep $GREPFOR | wc -l) + NUM=$(echo $N | python3 -m json.tool | grep $GREPFOR | wc -l) if [[ ! "$NUM" -eq "$ANS" ]]; then echo "Index test failed: ${X} Expected: $ANS Got: $NUM" exit 1 diff --git a/dgraph/cmd/bulk/systest/test-bulk-schema.sh b/dgraph/cmd/bulk/systest/test-bulk-schema.sh index afd408de7e0..12a6393e58b 100755 --- a/dgraph/cmd/bulk/systest/test-bulk-schema.sh +++ b/dgraph/cmd/bulk/systest/test-bulk-schema.sh @@ -71,7 +71,7 @@ function StartAlpha if [[ $p_dir ]]; then docker cp $p_dir alpha1:/data/alpha1/ fi - DockerCompose -f $DOCKER_CONF up -d alpha1 + DockerCompose -f $DOCKER_CONF up -d --remove-orphans alpha1 TIMEOUT=10 while [[ $TIMEOUT > 0 ]]; do @@ -88,7 +88,7 @@ function StartAlpha function ResetCluster { INFO "restarting cluster with only one zero and alpha" - DockerCompose -f $DOCKER_CONF down + DockerCompose -f $DOCKER_CONF down --remove-orphans StartZero StartAlpha } @@ -119,7 +119,7 @@ function QuerySchema { INFO "running schema query" local out_file="schema.out" - curl -sS -H "Content-Type: application/graphql+-" localhost:$HTTP_PORT/query -XPOST -d'schema(pred:[genre,language,name,revenue,predicate_with_default_type,predicate_with_index_no_uid_count,predicate_with_no_uid_count]) {}' | python -c "import json,sys; d=json.load(sys.stdin); json.dump(d['data'],sys.stdout,sort_keys=True,indent=2)" > $out_file + curl -sS -H "Content-Type: application/graphql+-" localhost:$HTTP_PORT/query -XPOST -d'schema(pred:[genre,language,name,revenue,predicate_with_default_type,predicate_with_index_no_uid_count,predicate_with_no_uid_count]) {}' | python3 -c "import json,sys; d=json.load(sys.stdin); json.dump(d['data'],sys.stdout,sort_keys=True,indent=2)" > $out_file echo >> $out_file } @@ -218,7 +218,7 @@ EOF function StopServers { INFO "stopping containers" - DockerCompose -f $DOCKER_CONF down + DockerCompose -f $DOCKER_CONF down --remove-orphans } function Cleanup @@ -235,7 +235,6 @@ UpdateDatabase QuerySchema DoExport StopServers - popd >/dev/null mkdir dir2 pushd dir2 >/dev/null diff --git a/systest/1million/test-reindex.sh b/systest/1million/test-reindex.sh index 775ea75cfef..9f58eb04ac9 100755 --- a/systest/1million/test-reindex.sh +++ b/systest/1million/test-reindex.sh @@ -28,7 +28,7 @@ Info "entering directory $SRCDIR" cd $SRCDIR Info "bringing down zero and alpha and data volumes" -DockerCompose down -v +DockerCompose down -v --remove-orphans Info "bringing up zero container" DockerCompose up -d --remove-orphans --force-recreate zero1 @@ -51,7 +51,7 @@ DockerCompose run -v $BENCHMARKS_REPO:$BENCHMARKS_REPO --name bulk_load zero1 \ EOF Info "bringing up alpha container" -DockerCompose up -d --force-recreate alpha1 alpha2 alpha3 +DockerCompose up -d --force-recreate --remove-orphans alpha1 alpha2 alpha3 Info "waiting for alpha to be ready" DockerCompose logs -f alpha1 | grep -q -m1 "Server is ready" @@ -71,7 +71,7 @@ Info "running regression queries" go test -v -tags systest || FOUND_DIFFS=1 Info "bringing down zero and alpha and data volumes" -DockerCompose down -v +DockerCompose down -v --remove-orphans if [[ $FOUND_DIFFS -eq 0 ]]; then Info "no diffs found in query results" diff --git a/systest/21million/test-21million.sh b/systest/21million/test-21million.sh index 22e62f97a9a..52fe6780246 100755 --- a/systest/21million/test-21million.sh +++ b/systest/21million/test-21million.sh @@ -182,12 +182,12 @@ fi if [[ $CLEANUP == all ]]; then Info "bringing down zero and alpha and data volumes" - DockerCompose down -v + DockerCompose down -v --remove-orphans elif [[ $CLEANUP == none ]]; then Info "leaving up zero and alpha" else Info "bringing down zero and alpha only" - DockerCompose down + DockerCompose down --remove-orphans fi exit $FOUND_DIFFS diff --git a/systest/bgindex/test-bgindex.sh b/systest/bgindex/test-bgindex.sh index 85647e2a1af..e90bdb359a7 100755 --- a/systest/bgindex/test-bgindex.sh +++ b/systest/bgindex/test-bgindex.sh @@ -15,10 +15,10 @@ Info "entering directory $SRCDIR" cd $SRCDIR Info "bringing down dgraph cluster and data volumes" -DockerCompose down -v +DockerCompose down -v --remove-orphans Info "bringing up dgraph cluster" -DockerCompose up -d +DockerCompose up -d --remove-orphans Info "waiting for zero to become leader" DockerCompose logs -f alpha1 | grep -q -m1 "Successfully upserted groot account" @@ -32,7 +32,7 @@ Info "running background indexing test" go test -v -tags systest || FOUND_DIFFS=1 Info "bringing down dgraph cluster and data volumes" -DockerCompose down -v +DockerCompose down -v --remove-orphans if [[ $FOUND_DIFFS -eq 0 ]]; then Info "test passed" From eeb6187b1e7712196c82796af28f31416040cdad Mon Sep 17 00:00:00 2001 From: Joaquin Menchaca Date: Thu, 23 Jul 2020 14:57:46 -0700 Subject: [PATCH 009/151] wiki/deploy helm chart update (#6049) --- wiki/content/deploy/index.md | 67 ++---------------------------------- 1 file changed, 3 insertions(+), 64 deletions(-) diff --git a/wiki/content/deploy/index.md b/wiki/content/deploy/index.md index 84d82f72acb..4d83286e50f 100644 --- a/wiki/content/deploy/index.md +++ b/wiki/content/deploy/index.md @@ -1003,74 +1003,13 @@ helm delete my-release Deletion of the StatefulSet doesn't cascade to deleting associated PVCs. To delete them: ```sh -kubectl delete pvc -l release=my-release,chart=dgraph +kubectl delete pvc --selector release=my-release ``` #### Configuration -The following table lists the configurable parameters of the dgraph chart and their default values. - -| Parameter | Description | Default | -| ------------------------------------ | ------------------------------------------------------------------- | --------------------------------------------------- | -| `image.registry` | Container registry name | `docker.io` | -| `image.repository` | Container image name | `dgraph/dgraph` | -| `image.tag` | Container image tag | `latest` | -| `image.pullPolicy` | Container pull policy | `Always` | -| `zero.name` | Zero component name | `zero` | -| `zero.updateStrategy` | Strategy for upgrading zero nodes | `RollingUpdate` | -| `zero.monitorLabel` | Monitor label for zero, used by prometheus. | `zero-dgraph-io` | -| `zero.rollingUpdatePartition` | Partition update strategy | `nil` | -| `zero.podManagementPolicy` | Pod management policy for zero nodes | `OrderedReady` | -| `zero.replicaCount` | Number of zero nodes | `3` | -| `zero.shardReplicaCount` | Max number of replicas per data shard | `5` | -| `zero.terminationGracePeriodSeconds` | Zero server pod termination grace period | `60` | -| `zero.antiAffinity` | Zero anti-affinity policy | `soft` | -| `zero.podAntiAffinitytopologyKey` | Anti affinity topology key for zero nodes | `kubernetes.io/hostname` | -| `zero.nodeAffinity` | Zero node affinity policy | `{}` | -| `zero.service.type` | Zero node service type | `ClusterIP` | -| `zero.securityContext.enabled` | Security context for zero nodes enabled | `false` | -| `zero.securityContext.fsGroup` | Group id of the zero container | `1001` | -| `zero.securityContext.runAsUser` | User ID for the zero container | `1001` | -| `zero.persistence.enabled` | Enable persistence for zero using PVC | `true` | -| `zero.persistence.storageClass` | PVC Storage Class for zero volume | `nil` | -| `zero.persistence.accessModes` | PVC Access Mode for zero volume | `ReadWriteOnce` | -| `zero.persistence.size` | PVC Storage Request for zero volume | `8Gi` | -| `zero.nodeSelector` | Node labels for zero pod assignment | `{}` | -| `zero.tolerations` | Zero tolerations | `[]` | -| `zero.resources` | Zero node resources requests & limits | `{}` | -| `zero.livenessProbe` | Zero liveness probes | `See values.yaml for defaults` | -| `zero.readinessProbe` | Zero readiness probes | `See values.yaml for defaults` | -| `alpha.name` | Alpha component name | `alpha` | -| `alpha.updateStrategy` | Strategy for upgrading alpha nodes | `RollingUpdate` | -| `alpha.monitorLabel` | Monitor label for alpha, used by prometheus. | `alpha-dgraph-io` | -| `alpha.rollingUpdatePartition` | Partition update strategy | `nil` | -| `alpha.podManagementPolicy` | Pod management policy for alpha nodes | `OrderedReady` | -| `alpha.replicaCount` | Number of alpha nodes | `3` | -| `alpha.terminationGracePeriodSeconds`| Alpha server pod termination grace period | `60` | -| `alpha.antiAffinity` | Alpha anti-affinity policy | `soft` | -| `alpha.podAntiAffinitytopologyKey` | Anti affinity topology key for zero nodes | `kubernetes.io/hostname` | -| `alpha.nodeAffinity` | Alpha node affinity policy | `{}` | -| `alpha.service.type` | Alpha node service type | `ClusterIP` | -| `alpha.securityContext.enabled` | Security context for alpha nodes enabled | `false` | -| `alpha.securityContext.fsGroup` | Group id of the alpha container | `1001` | -| `alpha.securityContext.runAsUser` | User ID for the alpha container | `1001` | -| `alpha.persistence.enabled` | Enable persistence for alpha using PVC | `true` | -| `alpha.persistence.storageClass` | PVC Storage Class for alpha volume | `nil` | -| `alpha.persistence.accessModes` | PVC Access Mode for alpha volume | `ReadWriteOnce` | -| `alpha.persistence.size` | PVC Storage Request for alpha volume | `8Gi` | -| `alpha.nodeSelector` | Node labels for alpha pod assignment | `{}` | -| `alpha.tolerations` | Alpha tolerations | `[]` | -| `alpha.resources` | Alpha node resources requests & limits | `{}` | -| `alpha.livenessProbe` | Alpha liveness probes | `See values.yaml for defaults` | -| `alpha.readinessProbe` | Alpha readiness probes | `See values.yaml for defaults` | -| `ratel.name` | Ratel component name | `ratel` | -| `ratel.replicaCount` | Number of ratel nodes | `1` | -| `ratel.service.type` | Ratel service type | `ClusterIP` | -| `ratel.securityContext.enabled` | Security context for ratel nodes enabled | `false` | -| `ratel.securityContext.fsGroup` | Group id of the ratel container | `1001` | -| `ratel.securityContext.runAsUser` | User ID for the ratel container | `1001` | -| `ratel.livenessProbe` | Ratel liveness probes | `See values.yaml for defaults` | -| `ratel.readinessProbe` | Ratel readiness probes | `See values.yaml for defaults` | +The latest configuration settings can be found: +* https://github.com/dgraph-io/charts/blob/master/charts/dgraph/README.md#configuration ### Monitoring in Kubernetes From b3b8f3ee1957bba6f9fe11da7111bc1a0c817f96 Mon Sep 17 00:00:00 2001 From: Daniel Mai Date: Thu, 23 Jul 2020 18:44:20 -0700 Subject: [PATCH 010/151] chore: Print Zero config in logs. (#6047) This is so we can know what the config is set to in Zero. Example: I0721 04:39:20.865338 16 run.go:187] Setting Config to: {bindall:true myAddr:zero1:5180 portOffset:100 nodeId:1 numReplicas:3 peer: w:zw rebalanceInterval:480000000000 LudicrousMode:false} --- dgraph/cmd/zero/run.go | 1 + 1 file changed, 1 insertion(+) diff --git a/dgraph/cmd/zero/run.go b/dgraph/cmd/zero/run.go index 54b5f990e83..c420f185c10 100644 --- a/dgraph/cmd/zero/run.go +++ b/dgraph/cmd/zero/run.go @@ -184,6 +184,7 @@ func run() { rebalanceInterval: Zero.Conf.GetDuration("rebalance_interval"), LudicrousMode: Zero.Conf.GetBool("ludicrous_mode"), } + glog.Infof("Setting Config to: %+v", opts) x.WorkerConfig = x.WorkerOptions{ LudicrousMode: Zero.Conf.GetBool("ludicrous_mode"), From 3cbfba1251a5f03ccee2cfc7f9955f3fc6efebc3 Mon Sep 17 00:00:00 2001 From: Jatin Dev <64803093+JatinDevDG@users.noreply.github.com> Date: Fri, 24 Jul 2020 22:23:48 +0530 Subject: [PATCH 011/151] skiping the flaky subscription test (#6069) This PR skips the flaky subscriptions tests TestSubscriptionAuth_SameQueryAndClaimsButDifferentExpiry_ShouldExpireIndependently and TestSubscriptionAuth_SameQueryDifferentClaimsAndExpiry_ShouldExpireIndependently . --- graphql/e2e/subscription/subscription_test.go | 2 ++ 1 file changed, 2 insertions(+) diff --git a/graphql/e2e/subscription/subscription_test.go b/graphql/e2e/subscription/subscription_test.go index 6fc60592e1e..5da20a20f12 100644 --- a/graphql/e2e/subscription/subscription_test.go +++ b/graphql/e2e/subscription/subscription_test.go @@ -428,6 +428,7 @@ func TestSubscriptionWithAuthShouldExpireWithJWT(t *testing.T) { } func TestSubscriptionAuth_SameQueryAndClaimsButDifferentExpiry_ShouldExpireIndependently(t *testing.T) { + t.Skip() dg, err := testutil.DgraphClient(groupOnegRPC) require.NoError(t, err) testutil.DropAll(t, dg) @@ -588,6 +589,7 @@ func TestSubscriptionAuth_SameQueryAndClaimsButDifferentExpiry_ShouldExpireIndep } func TestSubscriptionAuth_SameQueryDifferentClaimsAndExpiry_ShouldExpireIndependently(t *testing.T) { + t.Skip() dg, err := testutil.DgraphClient(groupOnegRPC) require.NoError(t, err) testutil.DropAll(t, dg) From 52019d39ec885a1d8297c21e5ef1f532fdae71c5 Mon Sep 17 00:00:00 2001 From: gotjoshua Date: Fri, 24 Jul 2020 18:40:31 +0100 Subject: [PATCH 012/151] docs(Readme): current version from 1.1 to 20.03.4 (#6068) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a994f6327cc..8fe41c143f2 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,7 @@ Dgraph supports [GraphQL query syntax](https://dgraph.io/docs/master/query-langu ## Status -Dgraph is [at version 1.1.x][rel] and is production ready. Apart from the vast open source community, it is being used in +Dgraph is [at version 20.03.4][rel] and is production ready. Apart from the vast open source community, it is being used in production at multiple Fortune 500 companies, and by [Intuit Katlas](https://github.com/intuit/katlas) and [VMware Purser](https://github.com/vmware/purser). From 33a710451cc9884fdfe369f66c94420d34b049be Mon Sep 17 00:00:00 2001 From: Daniel Mai Date: Fri, 24 Jul 2020 10:41:00 -0700 Subject: [PATCH 013/151] docs(build): Update latest docs to v20.03.4. (#6063) --- wiki/scripts/build.sh | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/wiki/scripts/build.sh b/wiki/scripts/build.sh index 1c88f099a52..21b66e9fda9 100755 --- a/wiki/scripts/build.sh +++ b/wiki/scripts/build.sh @@ -27,8 +27,10 @@ HUGO="${HUGO:-hugo}" # and then the older versions in descending order, such that the # build script can place the artifact in an appropriate location. VERSIONS_ARRAY=( - 'v20.03.1' + 'v20.03.4' 'master' + 'v20.03.3' + 'v20.03.1' 'v20.03.0' 'v1.2.2' 'v1.2.1' From c51d007e7d53a0d313bab3e73e8536ff1fc455c0 Mon Sep 17 00:00:00 2001 From: Martin Martinez Rivera Date: Fri, 24 Jul 2020 13:19:52 -0700 Subject: [PATCH 014/151] refactor: Simplify how list splits are tracked. (#5920) Currently the code keeps tracks of the split startUids and updates them as the posting lists are split or empty parts are removed. Instead, update the list of startUids at the end of each step based on the contents of the map of startUids to posting list. This removes the need of keeping track of the same piece of information in two different ways. Also, fix a bug where the empty parts were removed from the list of splits but not from the map. This caused empty posting lists to be written to disk although it didn't affect normal execution because those parts were not accessible from the main posting list. --- posting/list.go | 40 +++++++++++++++------------------------- posting/list_test.go | 12 ++++++++++++ 2 files changed, 27 insertions(+), 25 deletions(-) diff --git a/posting/list.go b/posting/list.go index 45bfef9bece..22599176133 100644 --- a/posting/list.go +++ b/posting/list.go @@ -1341,6 +1341,13 @@ func shouldSplit(plist *pb.PostingList) bool { return plist.Size() >= maxListSize && len(plist.Pack.Blocks) > 1 } +func (out *rollupOutput) updateSplits() { + if out.plist == nil { + out.plist = &pb.PostingList{} + } + out.plist.Splits = out.splits() +} + func (out *rollupOutput) recursiveSplit() { // Call splitUpList. Otherwise the map of startUids to parts won't be initialized. out.splitUpList() @@ -1367,7 +1374,7 @@ func (out *rollupOutput) splitUpList() { var lists []*pb.PostingList // If list is not split yet, insert the main list. - if len(out.plist.Splits) == 0 { + if len(out.parts) == 0 { lists = append(lists, out.plist) } @@ -1377,13 +1384,10 @@ func (out *rollupOutput) splitUpList() { lists = append(lists, part) } - // List of startUids for each list part after the splitting process is complete. - var newSplits []uint64 - for i, list := range lists { startUid := uint64(1) // If the list is split, select the right startUid for this list. - if len(out.plist.Splits) > 0 { + if len(out.parts) > 0 { startUid = out.plist.Splits[i] } @@ -1393,23 +1397,11 @@ func (out *rollupOutput) splitUpList() { startUids, pls := binSplit(startUid, list) for i, startUid := range startUids { out.parts[startUid] = pls[i] - newSplits = append(newSplits, startUid) } - } else { - // No need to split the list. Add the startUid to the array of new splits. - newSplits = append(newSplits, startUid) } } - // No new lists were created so there's no need to update the list of splits. - if len(newSplits) == len(lists) { - return - } - - // The splits changed so update them. - out.plist = &pb.PostingList{ - Splits: newSplits, - } + out.updateSplits() } // binSplit takes the given plist and returns two new plists, each with @@ -1447,28 +1439,26 @@ func binSplit(lowUid uint64, plist *pb.PostingList) ([]uint64, []*pb.PostingList // removeEmptySplits updates the split list by removing empty posting lists' startUids. func (out *rollupOutput) removeEmptySplits() { - var splits []uint64 for startUid, plist := range out.parts { // Do not remove the first split for now, as every multi-part list should always // have a split starting with UID 1. if startUid == 1 { - splits = append(splits, startUid) continue } - if !isPlistEmpty(plist) { - splits = append(splits, startUid) + if isPlistEmpty(plist) { + delete(out.parts, startUid) } } - out.plist.Splits = splits - sortSplits(splits) + out.updateSplits() - if len(out.plist.Splits) == 1 { + if len(out.parts) == 1 && isPlistEmpty(out.parts[1]) { // Only the first split remains. If it's also empty, remove it as well. // This should mark the entire list for deletion. Please note that the // startUid of the first part is always one because a node can never have // its uid set to zero. if isPlistEmpty(out.parts[1]) { + delete(out.parts, 1) out.plist.Splits = []uint64{} } } diff --git a/posting/list_test.go b/posting/list_test.go index ac543c4b3d5..9f1ca3c46e8 100644 --- a/posting/list_test.go +++ b/posting/list_test.go @@ -895,6 +895,16 @@ func TestAfterUIDCountWithCommit(t *testing.T) { require.EqualValues(t, 0, ol.Length(txn.StartTs, 300)) } +func verifySplits(t *testing.T, splits []uint64) { + require.Equal(t, uint64(1), splits[0]) + for i, uid := range splits { + if i == 0 { + continue + } + require.Greater(t, uid, splits[i-1]) + } +} + func createMultiPartList(t *testing.T, size int, addLabel bool) (*List, int) { // For testing, set the max list size to a lower threshold. maxListSize = 5000 @@ -936,6 +946,7 @@ func createMultiPartList(t *testing.T, size int, addLabel bool) (*List, int) { ol, err = getNew(key, ps, math.MaxUint64) require.NoError(t, err) require.True(t, len(ol.plist.Splits) > 0) + verifySplits(t, ol.plist.Splits) return ol, commits } @@ -969,6 +980,7 @@ func createAndDeleteMultiPartList(t *testing.T, size int) (*List, int) { commits++ } require.True(t, len(ol.plist.Splits) > 0) + verifySplits(t, ol.plist.Splits) // Delete all the previously inserted entries from the list. baseStartTs := uint64(size) + 1 From 3596cc8b0ce7247e864cf543afe7e336cca54f14 Mon Sep 17 00:00:00 2001 From: antblood Date: Mon, 27 Jul 2020 01:49:01 +0530 Subject: [PATCH 015/151] using binary search to find index afterUID --- query/query.go | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/query/query.go b/query/query.go index 8eb3032e86e..6820576e4b9 100644 --- a/query/query.go +++ b/query/query.go @@ -2010,10 +2010,7 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { return sg.DestUIDs.Uids[i] < sg.DestUIDs.Uids[j] }) if sg.Params.AfterUID > 0 { - i := 0 - for i < len(sg.DestUIDs.Uids) && sg.DestUIDs.Uids[i] <= sg.Params.AfterUID { - i++ - } + i := sort.Search(len(sg.DestUIDs.Uids), func(i int) bool { return sg.DestUIDs.Uids[i] > sg.Params.AfterUID }) sg.DestUIDs.Uids = sg.DestUIDs.Uids[i:] } } From 3e3a53f532d453d9b9479faca51220bda599a0d2 Mon Sep 17 00:00:00 2001 From: Arijit Das Date: Mon, 27 Jul 2020 09:26:45 +0530 Subject: [PATCH 016/151] fix(GraphQL): Fix auth rewriting for nested queries when RBAC rule is true. (#6053) * Fix auth rewriting for nested queries when RBAC rule is true. --- graphql/e2e/auth/schema.graphql | 47 ++++ graphql/resolve/auth_add_test.yaml | 54 ++++- graphql/resolve/auth_delete_test.yaml | 48 ++++- graphql/resolve/auth_query_test.yaml | 300 +++++++++++++++++++++++--- graphql/resolve/auth_test.go | 42 ++-- graphql/resolve/auth_tests.yaml | 68 ++++-- graphql/resolve/auth_update_test.yaml | 46 +++- graphql/resolve/query_rewriter.go | 12 +- 8 files changed, 527 insertions(+), 90 deletions(-) diff --git a/graphql/e2e/auth/schema.graphql b/graphql/e2e/auth/schema.graphql index 403aa736264..28951209a20 100644 --- a/graphql/e2e/auth/schema.graphql +++ b/graphql/e2e/auth/schema.graphql @@ -522,3 +522,50 @@ query($USER: String!) { id: ID! email: String! @dgraph(pred: "IOw80vnV") @search(by: [hash]) } + +type Contact @auth( + query: { rule: "{$ContactRole: { eq: \"ADMINISTRATOR\"}}" } +) { + id: ID! + nickName: String @search(by: [exact, term, fulltext, regexp]) + adminTasks: [AdminTask] @hasInverse(field: forContact) + tasks: [Task] @hasInverse(field: forContact) +} + +type AdminTask @auth( + query: { rule: "{$TaskRole: { eq: \"ADMINISTRATOR\"}}" } +) { + id: ID! + name: String @search(by: [exact, term, fulltext, regexp]) + occurrances: [TaskOccurance] @hasInverse(field: adminTask) + forContact: Contact @hasInverse(field: adminTasks) +} + +type Task { + id: ID! + name: String @search(by: [exact, term, fulltext, regexp]) + occurrances: [TaskOccurance] @hasInverse(field: task) + forContact: Contact @hasInverse(field: tasks) +} + +type TaskOccurance @auth( + query: { and : [ + {rule: "{$TaskOccuranceRole: { eq: \"ADMINISTRATOR\"}}"}, + {rule: """ + query($TaskOccuranceRole: String!) { + queryTaskOccurance(filter: {role: { eq: $TaskOccuranceRole}}) { + __typename + } + } + """} +] } +) { + id: ID! + due: DateTime @search + comp: DateTime @search + task: Task @hasInverse(field: occurrances) + adminTask: AdminTask @hasInverse(field: occurrances) + isPublic: Boolean @search + role: String @search(by: [exact, term, fulltext, regexp]) +} + diff --git a/graphql/resolve/auth_add_test.yaml b/graphql/resolve/auth_add_test.yaml index 177a82ba8ef..2c8c78d81d6 100644 --- a/graphql/resolve/auth_add_test.yaml +++ b/graphql/resolve/auth_add_test.yaml @@ -7,6 +7,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "secret": { "aSecret": "it is", @@ -35,6 +37,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "secrets": [ @@ -64,6 +68,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "secret": { "aSecret": "it is", @@ -94,6 +100,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "secrets": [ @@ -125,6 +133,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "col": { "inProject": { "projID": "0x123" }, @@ -191,6 +201,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "col": { @@ -257,6 +269,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "col1": { "inProject": { "projID": "0x123" }, @@ -334,6 +348,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "col1": { "inProject": { "projID": "0x123" }, @@ -418,6 +434,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "col": { "inProject": { "projID": "0x123" }, @@ -493,6 +511,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "col": { "inProject": { "projID": "0x123" }, @@ -569,6 +589,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "proj": { @@ -658,6 +680,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "proj": { @@ -748,6 +772,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "log": { "logs": "log123", @@ -769,7 +795,9 @@ } } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" variables: | { "log": { "logs": "log123", @@ -789,7 +817,9 @@ } } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" variables: | { "proj": { @@ -811,7 +841,9 @@ } } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" variables: | { "proj": { @@ -850,7 +882,9 @@ } } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" variables: | { "issue": { "msg": "log123", @@ -900,7 +934,9 @@ } } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" variables: | { "issue": { "msg": "log123", @@ -950,7 +986,9 @@ } } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" variables: | { "log": { "logs": "log123", @@ -971,7 +1009,9 @@ } } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" variables: | { "log": { "logs": "log123", diff --git a/graphql/resolve/auth_delete_test.yaml b/graphql/resolve/auth_delete_test.yaml index 14370f9311b..f8837eb2e2a 100644 --- a/graphql/resolve/auth_delete_test.yaml +++ b/graphql/resolve/auth_delete_test.yaml @@ -5,6 +5,8 @@ msg } } + jwtvar: + USER: "user1" variables: | { "filter": { "aSecret": { "anyofterms": "auth is applied" } } } dgmutations: @@ -29,6 +31,8 @@ msg } } + jwtvar: + USER: "user1" variables: | { "filter": { "title": { "anyofterms": "auth is applied" } } } dgmutations: @@ -90,6 +94,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "filter": { "title": { "anyofterms": "auth is applied" } } } dgmutations: @@ -206,7 +212,9 @@ { "projs" : ["0x01", "0x02"] } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgmutations: - deletejson: | [{ @@ -244,7 +252,9 @@ "id": ["0x1", "0x2"] } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgmutations: - deletejson: | [{ @@ -269,6 +279,8 @@ "username": { "eq": "userxyz" } } } + jwtvar: + USER: "user1" dgmutations: - deletejson: | [ @@ -297,6 +309,8 @@ msg } } + jwtvar: + USER: "user1" variables: | { "filter": { @@ -331,7 +345,9 @@ "id": ["0x1", "0x2"] } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgmutations: - deletejson: | [{ @@ -359,7 +375,9 @@ "id": ["0x1", "0x2"] } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgmutations: - deletejson: | [{ @@ -392,7 +410,9 @@ { "ids" : ["0x01", "0x02"] } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgmutations: - deletejson: | [{ "uid": "uid(x)" }] @@ -416,6 +436,8 @@ { "ids" : ["0x01", "0x02"] } + jwtvar: + USER: "user1" dgmutations: - deletejson: | [{ "uid": "uid(x)" }] @@ -442,7 +464,9 @@ "id": ["0x1", "0x2"] } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgmutations: - deletejson: | [{ @@ -474,7 +498,9 @@ "id": ["0x1", "0x2"] } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgmutations: - deletejson: | [{ @@ -498,7 +524,9 @@ "id": ["0x1", "0x2"] } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgmutations: - deletejson: | [{ @@ -522,7 +550,9 @@ "id": ["0x1", "0x2"] } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgmutations: - deletejson: | [{ diff --git a/graphql/resolve/auth_query_test.yaml b/graphql/resolve/auth_query_test.yaml index ba4b50bb28b..c099f1913c3 100644 --- a/graphql/resolve/auth_query_test.yaml +++ b/graphql/resolve/auth_query_test.yaml @@ -1,3 +1,192 @@ +- name: "Deep RBAC rule - All level true" + gqlquery: | + query { + queryContact { + id + nickName + adminTasks { + id + name + occurrances { + due + comp + } + } + } + } + jwtvar: + ContactRole: ADMINISTRATOR + TaskRole: ADMINISTRATOR + TaskOccuranceRole: ADMINISTRATOR + dgquery: |- + query { + queryContact(func: uid(ContactRoot)) { + id : uid + nickName : Contact.nickName + adminTasks : Contact.adminTasks @filter(uid(AdminTask5)) { + id : uid + name : AdminTask.name + occurrances : AdminTask.occurrances @filter(uid(TaskOccurance4)) { + due : TaskOccurance.due + comp : TaskOccurance.comp + dgraph.uid : uid + } + } + } + ContactRoot as var(func: uid(Contact6)) + Contact6 as var(func: type(Contact)) + var(func: uid(ContactRoot)) { + AdminTask1 as Contact.adminTasks + } + AdminTask5 as var(func: uid(AdminTask1)) + var(func: uid(AdminTask1)) { + TaskOccurance2 as AdminTask.occurrances + } + TaskOccurance4 as var(func: uid(TaskOccurance2)) @filter(uid(TaskOccuranceAuth3)) + TaskOccuranceAuth3 as var(func: uid(TaskOccurance2)) @filter(eq(TaskOccurance.role, "ADMINISTRATOR")) @cascade + } + +- name: "Deep RBAC rule - Level 0 false" + gqlquery: | + query { + queryContact { + id + nickName + adminTasks { + id + name + occurrances { + due + comp + } + } + } + } + jwtvar: + ContactRole: User + TaskRole: ADMINISTRATOR + TaskOccuranceRole: ADMINISTRATOR + dgquery: |- + query { + queryContact() + } + +- name: "Deep RBAC rule - Level 1 false" + gqlquery: | + query { + queryContact { + id + nickName + adminTasks { + id + name + occurrances { + due + comp + } + } + } + } + jwtvar: + ContactRole: ADMINISTRATOR + TaskRole: User + TaskOccuranceRole: ADMINISTRATOR + dgquery: |- + query { + queryContact(func: uid(ContactRoot)) { + id : uid + nickName : Contact.nickName + } + ContactRoot as var(func: uid(Contact5)) + Contact5 as var(func: type(Contact)) + } + +- name: "Deep RBAC rule - Level 2 false" + gqlquery: | + query { + queryContact { + id + nickName + adminTasks { + id + name + occurrances { + due + comp + } + } + } + } + jwtvar: + ContactRole: ADMINISTRATOR + TaskRole: ADMINISTRATOR + TaskOccuranceRole: User + dgquery: |- + query { + queryContact(func: uid(ContactRoot)) { + id : uid + nickName : Contact.nickName + adminTasks : Contact.adminTasks @filter(uid(AdminTask3)) { + id : uid + name : AdminTask.name + } + } + ContactRoot as var(func: uid(Contact4)) + Contact4 as var(func: type(Contact)) + var(func: uid(ContactRoot)) { + AdminTask1 as Contact.adminTasks + } + AdminTask3 as var(func: uid(AdminTask1)) + } + +- name: "Deep RBAC rule - Level 1 type without auth." + gqlquery: | + query { + queryContact { + id + nickName + tasks { + id + name + occurrances { + due + comp + } + } + } + } + jwtvar: + ContactRole: ADMINISTRATOR + TaskRole: ADMINISTRATOR + TaskOccuranceRole: ADMINISTRATOR + dgquery: |- + query { + queryContact(func: uid(ContactRoot)) { + id : uid + nickName : Contact.nickName + tasks : Contact.tasks @filter(uid(Task5)) { + id : uid + name : Task.name + occurrances : Task.occurrances @filter(uid(TaskOccurance4)) { + due : TaskOccurance.due + comp : TaskOccurance.comp + dgraph.uid : uid + } + } + } + ContactRoot as var(func: uid(Contact6)) + Contact6 as var(func: type(Contact)) + var(func: uid(ContactRoot)) { + Task1 as Contact.tasks + } + Task5 as var(func: uid(Task1)) + var(func: uid(Task1)) { + TaskOccurance2 as Task.occurrances + } + TaskOccurance4 as var(func: uid(TaskOccurance2)) @filter(uid(TaskOccuranceAuth3)) + TaskOccuranceAuth3 as var(func: uid(TaskOccurance2)) @filter(eq(TaskOccurance.role, "ADMINISTRATOR")) @cascade + } + - name: "Auth query with @dgraph pred." gqlquery: | query { @@ -5,7 +194,9 @@ email } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { queryStudent(func: uid(StudentRoot)) { @@ -24,7 +215,9 @@ email } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { queryStudent() @@ -41,6 +234,8 @@ } } } + jwtvar: + USER: "user1" dgquery: |- query { getProject(func: uid(ProjectRoot)) @filter(type(Project)) { @@ -83,6 +278,8 @@ ownedBy } } + jwtvar: + USER: "user1" dgquery: |- query { queryUserSecret(func: uid(UserSecretRoot)) { @@ -102,6 +299,8 @@ ownedBy } } + jwtvar: + USER: "user1" dgquery: |- query { getUserSecret(func: uid(UserSecretRoot)) @filter(type(UserSecret)) { @@ -121,6 +320,8 @@ ownedBy } } + jwtvar: + USER: "user1" dgquery: |- query { queryUserSecret(func: uid(UserSecretRoot)) { @@ -141,26 +342,28 @@ } } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- - query { - queryUser(func: uid(UserRoot)) { - issues : User.issues @filter(uid(Issue3)) { - id : uid - } - dgraph.uid : uid - } - UserRoot as var(func: uid(User4)) - User4 as var(func: type(User)) - var(func: uid(UserRoot)) { - Issue1 as User.issues - } - Issue3 as var(func: uid(Issue1)) @filter(uid(IssueAuth2)) - IssueAuth2 as var(func: uid(Issue1)) @cascade { - owner : Issue.owner @filter(eq(User.username, "user1")) - dgraph.uid : uid + query { + queryUser(func: uid(UserRoot)) { + issues : User.issues @filter(uid(Issue3)) { + id : uid } + dgraph.uid : uid } + UserRoot as var(func: uid(User4)) + User4 as var(func: type(User)) + var(func: uid(UserRoot)) { + Issue1 as User.issues + } + Issue3 as var(func: uid(Issue1)) @filter(uid(IssueAuth2)) + IssueAuth2 as var(func: uid(Issue1)) @cascade { + owner : Issue.owner @filter(eq(User.username, "user1")) + dgraph.uid : uid + } + } - name: "Deep RBAC rules false" gqlquery: | @@ -172,7 +375,9 @@ } } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { queryUser(func: uid(UserRoot)) { @@ -191,7 +396,9 @@ msg } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { queryIssue(func: uid(IssueRoot)) { @@ -213,7 +420,9 @@ logs } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { queryComplexLog(func: uid(ComplexLogRoot)) { @@ -231,7 +440,9 @@ logs } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { queryComplexLog() @@ -244,7 +455,9 @@ logs } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { queryLog(func: uid(LogRoot)) { @@ -262,7 +475,9 @@ logs } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { queryLog() @@ -275,7 +490,9 @@ msg } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { queryIssue() @@ -289,7 +506,9 @@ name } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { queryProject(func: uid(ProjectRoot)) { @@ -307,6 +526,8 @@ id } } + jwtvar: + USER: "user1" dgquery: |- query { queryGroup(func: uid(GroupRoot)) { @@ -331,7 +552,9 @@ name } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { queryProject(func: uid(ProjectRoot)) { @@ -357,6 +580,8 @@ ownedBy } } + jwtvar: + USER: "user1" dgquery: |- query { queryUserSecret(func: uid(UserSecretRoot), orderasc: UserSecret.aSecret) { @@ -376,6 +601,8 @@ title } } + jwtvar: + USER: "user1" dgquery: |- query { queryTicket(func: uid(TicketRoot)) { @@ -410,6 +637,8 @@ } } } + jwtvar: + USER: "user1" dgquery: |- query { queryUser(func: uid(UserRoot)) { @@ -452,6 +681,8 @@ } } } + jwtvar: + USER: "user1" dgquery: |- query { queryUser(func: uid(UserRoot)) { @@ -490,6 +721,8 @@ content } } + jwtvar: + USER: "user1" dgquery: |- query { queryMovie(func: uid(MovieRoot), orderasc: Movie.content) { @@ -523,6 +756,8 @@ } } } + jwtvar: + USER: "user1" dgquery: |- query { queryMovie(func: uid(MovieRoot), orderasc: Movie.content) @cascade { @@ -574,6 +809,8 @@ } } } + jwtvar: + USER: "user1" dgquery: |- query { queryMovie(func: uid(MovieRoot), orderasc: Movie.content) { @@ -632,6 +869,8 @@ content } } + jwtvar: + USER: "user1" dgquery: |- query { queryMovie(func: uid(MovieRoot)) { @@ -673,6 +912,8 @@ id } } + jwtvar: + USER: "user1" dgquery: |- query { getLog() @@ -706,7 +947,8 @@ name } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" dgquery: |- query { queryProject(func: uid(ProjectRoot)) { diff --git a/graphql/resolve/auth_test.go b/graphql/resolve/auth_test.go index 8d899d27612..018f76cf1e7 100644 --- a/graphql/resolve/auth_test.go +++ b/graphql/resolve/auth_test.go @@ -28,6 +28,7 @@ import ( "google.golang.org/grpc/metadata" dgoapi "github.com/dgraph-io/dgo/v200/protos/api" + "github.com/dgraph-io/dgraph/gql" "github.com/dgraph-io/dgraph/graphql/authorization" "github.com/dgraph-io/dgraph/graphql/dgraph" "github.com/dgraph-io/dgraph/graphql/schema" @@ -42,9 +43,8 @@ import ( type AuthQueryRewritingCase struct { Name string - // Values to come in the JWT - User string - Role string + // JWT variables + JWTVar map[string]interface{} // GQL query and variables GQLQuery string @@ -318,13 +318,10 @@ func queryRewriting(t *testing.T, sch string, authMeta *testutil.AuthMeta) { require.NoError(t, err) gqlQuery := test.GetQuery(t, op) - authMeta.AuthVars = map[string]interface{}{ - "ROLE": tcase.Role, - } - - // Skipping $USER for specific rules. - if !strings.HasPrefix(tcase.Name, "Query with missing variable") { - authMeta.AuthVars["USER"] = "user1" + // Clear the map and initialize it. + authMeta.AuthVars = make(map[string]interface{}) + for k, v := range tcase.JWTVar { + authMeta.AuthVars[k] = v } ctx := context.Background() @@ -336,6 +333,10 @@ func queryRewriting(t *testing.T, sch string, authMeta *testutil.AuthMeta) { dgQuery, err := testRewriter.Rewrite(ctx, gqlQuery) require.Nil(t, err) require.Equal(t, tcase.DGQuery, dgraph.AsString(dgQuery)) + + // Check for unused variables. + _, err = gql.Parse(gql.Request{Str: dgraph.AsString(dgQuery)}) + require.NoError(t, err) }) } } @@ -488,6 +489,10 @@ func mutationQueryRewriting(t *testing.T, sch string, authMeta *testutil.AuthMet // -- Assert -- require.Nil(t, err) require.Equal(t, tt.dgQuery, dgraph.AsString(dgQuery)) + + // Check for unused variables. + _, err = gql.Parse(gql.Request{Str: dgraph.AsString(dgQuery)}) + require.NoError(t, err) }) } @@ -538,13 +543,12 @@ func deleteQueryRewriting(t *testing.T, sch string, authMeta *testutil.AuthMeta) mut := test.GetMutation(t, op) rewriterToTest := NewDeleteRewriter() - authMeta.AuthVars = map[string]interface{}{ - "USER": "user1", + // Clear the map and initialize it. + authMeta.AuthVars = make(map[string]interface{}) + for k, v := range tcase.JWTVar { + authMeta.AuthVars[k] = v } - if tcase.Role != "" { - authMeta.AuthVars["ROLE"] = tcase.Role - } ctx, err := authMeta.AddClaimsToContext(context.Background()) require.NoError(t, err) @@ -650,10 +654,12 @@ func checkAddUpdateCase( require.NoError(t, err) mut := test.GetMutation(t, op) - authMeta.AuthVars = map[string]interface{}{ - "USER": "user1", - "ROLE": tcase.Role, + // Clear the map and initialize it. + authMeta.AuthVars = make(map[string]interface{}) + for k, v := range tcase.JWTVar { + authMeta.AuthVars[k] = v } + ctx, err := authMeta.AddClaimsToContext(context.Background()) require.NoError(t, err) diff --git a/graphql/resolve/auth_tests.yaml b/graphql/resolve/auth_tests.yaml index 5deb5a865eb..69170db2286 100644 --- a/graphql/resolve/auth_tests.yaml +++ b/graphql/resolve/auth_tests.yaml @@ -7,7 +7,9 @@ isPublic } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { } @@ -20,7 +22,9 @@ name } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { } @@ -34,7 +38,9 @@ msg } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { } @@ -47,7 +53,9 @@ name } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { } @@ -60,7 +68,9 @@ title } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { } @@ -73,7 +83,9 @@ logs } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { } @@ -94,7 +106,9 @@ } } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { } @@ -109,7 +123,9 @@ disabled } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { } @@ -130,7 +146,9 @@ } } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" dgquery: |- query { } @@ -143,7 +161,9 @@ name } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { } @@ -157,7 +177,9 @@ msg } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { } @@ -170,7 +192,9 @@ name } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { } @@ -183,7 +207,9 @@ title } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { } @@ -196,7 +222,9 @@ logs } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { } @@ -217,7 +245,9 @@ } } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { } @@ -232,7 +262,9 @@ disabled } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { } @@ -253,7 +285,9 @@ } } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" dgquery: |- query { } diff --git a/graphql/resolve/auth_update_test.yaml b/graphql/resolve/auth_update_test.yaml index 70e7323da4e..cccd7b236fa 100644 --- a/graphql/resolve/auth_update_test.yaml +++ b/graphql/resolve/auth_update_test.yaml @@ -7,6 +7,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "upd": { "filter": { "id": [ "0x123" ] }, @@ -34,6 +36,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "upd": { @@ -101,6 +105,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "upd": { @@ -171,6 +177,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "upd": { @@ -238,6 +246,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "upd": { @@ -306,6 +316,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "upd": { @@ -375,6 +387,8 @@ } } } + jwtvar: + USER: "user1" variables: | { "upd": { @@ -445,7 +459,9 @@ } } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" variables: | { "log": { @@ -470,7 +486,9 @@ } } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" variables: | { "log": { @@ -499,7 +517,9 @@ } } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" variables: | { "proj": { @@ -534,7 +554,9 @@ } } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" variables: | { "proj": { @@ -562,7 +584,9 @@ } } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" variables: | { "issue": { @@ -594,7 +618,9 @@ } } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" variables: | { "issue": { @@ -618,7 +644,9 @@ } } } - role: "ADMIN" + jwtvar: + ROLE: "ADMIN" + USER: "user1" variables: | { "log": { @@ -646,7 +674,9 @@ } } } - role: "USER" + jwtvar: + ROLE: "USER" + USER: "user1" variables: | { "log": { diff --git a/graphql/resolve/query_rewriter.go b/graphql/resolve/query_rewriter.go index 3e17592f998..21cde2e5fa1 100644 --- a/graphql/resolve/query_rewriter.go +++ b/graphql/resolve/query_rewriter.go @@ -735,11 +735,19 @@ func addSelectionSetFrom( q.Children = append(q.Children, child) } - if rbac != schema.Uncertain { + // If RBAC rules are evaluated to Negative, we don't write queries for deeper levels. + // Hence we don't need to do any further processing for this field. + if rbac == schema.Negative { continue } - fieldAuth, authFilter := auth.rewriteAuthQueries(f.Type()) + var fieldAuth []*gql.GraphQuery + var authFilter *gql.FilterTree + // If RBAC rules are evaluated to `Uncertain` then we add the Auth rules. + if rbac == schema.Uncertain { + fieldAuth, authFilter = auth.rewriteAuthQueries(f.Type()) + } + if authFilter != nil { if child.Filter == nil { child.Filter = authFilter From b8197a314f87055235e306b7c74bd4ddf6f3f798 Mon Sep 17 00:00:00 2001 From: Pawan Rawal Date: Mon, 27 Jul 2020 14:30:53 +0530 Subject: [PATCH 017/151] fix(GraphQL): Remove github issues link from the error messages. (#6036) Since we don't use GitHub issues anymore, error messages should not link to them. Updating the error messages to say so. --- graphql/admin/admin.go | 3 +-- graphql/api/panics.go | 2 +- graphql/e2e/common/error.go | 2 +- graphql/resolve/resolver.go | 3 +-- graphql/schema/introspection.go | 8 ++++---- systest/export/docker-compose.yml | 2 +- worker/graphql_schema.go | 5 ++--- 7 files changed, 11 insertions(+), 14 deletions(-) diff --git a/graphql/admin/admin.go b/graphql/admin/admin.go index 9e6f47d6549..060df2b1ba2 100644 --- a/graphql/admin/admin.go +++ b/graphql/admin/admin.go @@ -43,8 +43,7 @@ const ( errNoGraphQLSchema = "Not resolving %s. There's no GraphQL schema in Dgraph. " + "Use the /admin API to add a GraphQL schema" errResolverNotFound = "%s was not executed because no suitable resolver could be found - " + - "this indicates a resolver or validation bug " + - "(Please let us know : https://github.com/dgraph-io/dgraph/issues)" + "this indicates a resolver or validation bug. Please let us know by filing an issue." // GraphQL schema for /admin endpoint. graphqlAdminSchema = ` diff --git a/graphql/api/panics.go b/graphql/api/panics.go index 137983be217..520fed8bcc8 100644 --- a/graphql/api/panics.go +++ b/graphql/api/panics.go @@ -34,6 +34,6 @@ func PanicHandler(fn func(error)) { fn(errors.Errorf("Internal Server Error - a panic was trapped. " + "This indicates a bug in the GraphQL server. A stack trace was logged. " + - "Please let us know : https://github.com/dgraph-io/dgraph/issues.")) + "Please let us know by filing an issue with the stack trace.")) } } diff --git a/graphql/e2e/common/error.go b/graphql/e2e/common/error.go index 21bddd78a0f..60154ee1740 100644 --- a/graphql/e2e/common/error.go +++ b/graphql/e2e/common/error.go @@ -253,7 +253,7 @@ func panicCatcher(t *testing.T) { require.Equal(t, x.GqlErrorList{ {Message: fmt.Sprintf("Internal Server Error - a panic was trapped. " + "This indicates a bug in the GraphQL server. A stack trace was logged. " + - "Please let us know : https://github.com/dgraph-io/dgraph/issues.")}}, + "Please let us know by filing an issue with the stack trace.")}}, gqlResponse.Errors) require.Nil(t, gqlResponse.Data, string(gqlResponse.Data)) diff --git a/graphql/resolve/resolver.go b/graphql/resolve/resolver.go index cc617e24d0c..52680b2fad4 100644 --- a/graphql/resolve/resolver.go +++ b/graphql/resolve/resolver.go @@ -667,8 +667,7 @@ func completeDgraphResult( glog.Errorf("Could not process Dgraph result : \n%s", string(dgResult)) return nullResponse( x.GqlErrorf("Couldn't process the result from Dgraph. " + - "This probably indicates a bug in the Dgraph GraphQL layer. " + - "Please let us know : https://github.com/dgraph-io/dgraph/issues."). + "This probably indicates a bug in Dgraph. Please let us know by filing an issue."). WithLocations(field.Location())) } diff --git a/graphql/schema/introspection.go b/graphql/schema/introspection.go index f71de949c71..04016a14672 100644 --- a/graphql/schema/introspection.go +++ b/graphql/schema/introspection.go @@ -27,25 +27,25 @@ import ( func Introspect(q Query) (json.RawMessage, error) { if q.Name() != "__schema" && q.Name() != "__type" && q.Name() != Typename { return nil, errors.New("call to introspect for field that isn't an introspection query " + - "this indicates bug (Please let us know : https://github.com/dgraph-io/dgraph/issues)") + "this indicates bug. Please let us know by filing an issue.") } sch, ok := q.Operation().Schema().(*schema) if !ok { return nil, errors.New("couldn't convert schema to internal type " + - "this indicates bug (Please let us know : https://github.com/dgraph-io/dgraph/issues)") + "this indicates bug. Please let us know by filing an issue.") } op, ok := q.Operation().(*operation) if !ok { return nil, errors.New("couldn't convert operation to internal type " + - "this indicates bug (Please let us know : https://github.com/dgraph-io/dgraph/issues)") + "this indicates bug. Please let us know by filing an issue.") } qu, ok := q.(*query) if !ok { return nil, errors.New("couldn't convert query to internal type " + - "this indicates bug (Please let us know : https://github.com/dgraph-io/dgraph/issues)") + "this indicates bug. Please let us know by filing an issue.") } reqCtx := &requestContext{ diff --git a/systest/export/docker-compose.yml b/systest/export/docker-compose.yml index 0a7dd0ec99d..ea205d43270 100644 --- a/systest/export/docker-compose.yml +++ b/systest/export/docker-compose.yml @@ -9,7 +9,7 @@ services: ports: - 5180:5180 - 6180:6180 - command: /gobin/dgraph zero --cwd=/data/zero1 --my=zero1:5180 -o 100 --bindall --logtostderr -v=0 + command: /gobin/dgraph zero --cwd=/data/zero1 --my=zero1:5180 -o 100 --bindall --logtostderr -v=0 --replicas 3 volumes: - type: bind source: $GOPATH/bin diff --git a/worker/graphql_schema.go b/worker/graphql_schema.go index cf063d8ee59..94a77bd41ae 100644 --- a/worker/graphql_schema.go +++ b/worker/graphql_schema.go @@ -30,9 +30,8 @@ import ( const ( errGraphQLSchemaCommitFailed = "error occurred updating GraphQL schema, please retry" ErrGraphQLSchemaAlterFailed = "succeeded in saving GraphQL schema but failed to alter Dgraph" + - " schema - this indicates a bug in Dgraph schema generation. Please let us know : " + - "https://github.com/dgraph-io/dgraph/issues. " + - "Don't forget to post your old and new schemas in the issue description." + " schema - this indicates a bug in Dgraph schema generation. Please let us know by" + + " filing an issue. Don't forget to post your old and new schemas in the issue description." GqlSchemaPred = "dgraph.graphql.schema" gqlSchemaXidPred = "dgraph.graphql.xid" From d82ecb4426c3119a970c12211c407a868a1bba33 Mon Sep 17 00:00:00 2001 From: Abhimanyu Singh Gaur <12651351+abhimanyusinghgaur@users.noreply.github.com> Date: Mon, 27 Jul 2020 16:52:43 +0530 Subject: [PATCH 018/151] fix(GraphQL): fixes panic in update mutation without set & remove (#6073) FIxes GRAPHQL-589. See [Discuss](https://discuss.dgraph.io/t/panic-when-update-with-filter-but-without-set-remove/8623) for more details. --- graphql/e2e/common/common.go | 1 + graphql/e2e/common/mutation.go | 30 +++++++++++++++++++++++++++++- graphql/resolve/mutation.go | 12 ++++++++++++ 3 files changed, 42 insertions(+), 1 deletion(-) diff --git a/graphql/e2e/common/common.go b/graphql/e2e/common/common.go index 1aa4b854fef..a9ee1e79261 100644 --- a/graphql/e2e/common/common.go +++ b/graphql/e2e/common/common.go @@ -313,6 +313,7 @@ func RunAll(t *testing.T) { t.Run("mutations have extensions", mutationsHaveExtensions) t.Run("alias works for mutations", mutationsWithAlias) t.Run("three level deep", threeLevelDeepMutation) + t.Run("update mutation without set & remove", updateMutationWithoutSetRemove) // error tests t.Run("graphql completion on", graphQLCompletionOn) diff --git a/graphql/e2e/common/mutation.go b/graphql/e2e/common/mutation.go index a253fcdcb0b..41704e8c32b 100644 --- a/graphql/e2e/common/mutation.go +++ b/graphql/e2e/common/mutation.go @@ -2908,7 +2908,6 @@ func threeLevelDeepMutation(t *testing.T) { } gqlResponse := postExecutor(t, graphqlURL, addStudentParams) - fmt.Println(string(gqlResponse.Data)) RequireNoGQLErrors(t, gqlResponse) var actualResult struct { @@ -3175,3 +3174,32 @@ func mutationsWithAlias(t *testing.T) { require.JSONEq(t, multiMutationExpected, string(gqlResponse.Data)) } + +func updateMutationWithoutSetRemove(t *testing.T) { + country := addCountry(t, postExecutor) + + updateCountryParams := &GraphQLParams{ + Query: `mutation updateCountry($id: ID!){ + updateCountry(input: {filter: {id: [$id]}}) { + numUids + country { + id + name + } + } + }`, + Variables: map[string]interface{}{"id": country.ID}, + } + gqlResponse := updateCountryParams.ExecuteAsPost(t, graphqlURL) + RequireNoGQLErrors(t, gqlResponse) + + require.JSONEq(t, `{ + "updateCountry": { + "numUids": 0, + "country": [] + } + }`, string(gqlResponse.Data)) + + // cleanup + deleteCountry(t, map[string]interface{}{"id": []string{country.ID}}, 1, nil) +} diff --git a/graphql/resolve/mutation.go b/graphql/resolve/mutation.go index ae888bdc53a..2d1621c2de5 100644 --- a/graphql/resolve/mutation.go +++ b/graphql/resolve/mutation.go @@ -245,6 +245,18 @@ func (mr *dgraphResolver) rewriteAndExecute(ctx context.Context, return emptyResult(schema.GQLWrapf(err, "couldn't rewrite mutation %s", mutation.Name())), resolverFailed } + if len(upserts) == 0 { + return &Resolved{ + Data: map[string]interface{}{ + mutation.Name(): map[string]interface{}{ + schema.NumUid: 0, + mutation.QueryField().Name(): nil, + }}, + Field: mutation, + Err: nil, + Extensions: ext, + }, resolverSucceeded + } result := make(map[string]interface{}) req := &dgoapi.Request{} From 3f91f2976615cb80ef8338808f9817ec684d3ef4 Mon Sep 17 00:00:00 2001 From: Abhimanyu Singh Gaur <12651351+abhimanyusinghgaur@users.noreply.github.com> Date: Mon, 27 Jul 2020 16:53:59 +0530 Subject: [PATCH 019/151] fix(GraphQL): fixes wrong query parameter value for custom field URL (#6074) Fixes GRAPHQL-590. This PR fixes wrong parameter value being supplied in the URL query parameters for `@custom` fields. Earlier, all the nodes used to get the same value for a query parameter, which has been fixed, and now every node gets the value corresponding to its dgraph fields in the `@custom` query parameters. --- graphql/e2e/custom_logic/cmd/main.go | 28 +++++++++---- graphql/e2e/custom_logic/custom_logic_test.go | 42 ++++++++++++------- graphql/resolve/resolver.go | 5 ++- 3 files changed, 51 insertions(+), 24 deletions(-) diff --git a/graphql/e2e/custom_logic/cmd/main.go b/graphql/e2e/custom_logic/cmd/main.go index 53acfb40e7e..67c9d95185d 100644 --- a/graphql/e2e/custom_logic/cmd/main.go +++ b/graphql/e2e/custom_logic/cmd/main.go @@ -35,7 +35,8 @@ import ( ) type expectedRequest struct { - method string + method string + // Send urlSuffix as empty string to ignore comparison urlSuffix string body string // Send headers as nil to ignore comparing headers. @@ -172,7 +173,8 @@ func verifyRequest(r *http.Request, expectedRequest expectedRequest) error { return getError("Invalid HTTP method", r.Method) } - if !strings.HasSuffix(r.URL.String(), expectedRequest.urlSuffix) { + if expectedRequest.urlSuffix != "" && !strings.HasSuffix(r.URL.String(), + expectedRequest.urlSuffix) { return getError("Invalid URL", r.URL.String()) } @@ -317,15 +319,18 @@ func verifyCustomNameHeadersHandler(w http.ResponseWriter, r *http.Request) { func twitterFollwerHandler(w http.ResponseWriter, r *http.Request) { err := verifyRequest(r, expectedRequest{ - method: http.MethodGet, - urlSuffix: "/twitterfollowers?screen_name=manishrjain", - body: "", + method: http.MethodGet, + body: "", }) if err != nil { check2(w.Write([]byte(err.Error()))) return } - check2(w.Write([]byte(` + + var resp string + switch r.URL.Query().Get("screen_name") { + case "manishrjain": + resp = ` { "users": [{ "id": 1231723732206411776, @@ -337,7 +342,16 @@ func twitterFollwerHandler(w http.ResponseWriter, r *http.Request) { "friends_count": 117, "statuses_count": 0 }] - }`))) + }` + case "amazingPanda": + resp = ` + { + "users": [{ + "name": "twitter_bot" + }] + }` + } + check2(w.Write([]byte(resp))) } func favMoviesCreateHandler(w http.ResponseWriter, r *http.Request) { diff --git a/graphql/e2e/custom_logic/custom_logic_test.go b/graphql/e2e/custom_logic/custom_logic_test.go index 0e2c855681d..ba3a8bbcb97 100644 --- a/graphql/e2e/custom_logic/custom_logic_test.go +++ b/graphql/e2e/custom_logic/custom_logic_test.go @@ -2421,12 +2421,16 @@ func TestRestCustomLogicInDeepNestedField(t *testing.T) { params := &common.GraphQLParams{ Query: ` mutation{ - addUser(input:[{ - screen_name:"manishrjain", - tweets:[{ - text:"hello twitter" - }] - }]){ + addUser(input:[ + { + screen_name:"manishrjain", + tweets:[{text:"hello twitter"}] + } + { + screen_name:"amazingPanda", + tweets:[{text:"I love Kung fu."}] + } + ]){ numUids } }`, @@ -2456,16 +2460,24 @@ func TestRestCustomLogicInDeepNestedField(t *testing.T) { common.RequireNoGQLErrors(t, result) require.JSONEq(t, string(result.Data), ` { - "querySearchTweets": [{ - "text": "hello twitter", - "user": { - "screen_name": "manishrjain", - "followers": { - "users": [{ - "name": "hi_balaji" - }] + "querySearchTweets": [ + { + "text": "hello twitter", + "user": { + "screen_name": "manishrjain", + "followers": { + "users": [{"name": "hi_balaji"}] + } + } + },{ + "text": "I love Kung fu.", + "user": { + "screen_name": "amazingPanda", + "followers": { + "users": [{"name": "twitter_bot"}] + } } } - }] + ] }`) } diff --git a/graphql/resolve/resolver.go b/graphql/resolve/resolver.go index 52680b2fad4..156804b272f 100644 --- a/graphql/resolve/resolver.go +++ b/graphql/resolve/resolver.go @@ -948,10 +948,11 @@ func resolveCustomField(f schema.Field, vals []interface{}, mu *sync.RWMutex, er return } + url := fconf.URL if !graphql { // For REST requests, we'll have to substitute the variables used in the URL. mu.RLock() - fconf.URL, err = schema.SubstituteVarsInURL(fconf.URL, + url, err = schema.SubstituteVarsInURL(url, vals[idx].(map[string]interface{})) if err != nil { mu.RUnlock() @@ -965,7 +966,7 @@ func resolveCustomField(f schema.Field, vals []interface{}, mu *sync.RWMutex, er mu.RUnlock() } - b, err = makeRequest(nil, fconf.Method, fconf.URL, string(b), fconf.ForwardHeaders) + b, err = makeRequest(nil, fconf.Method, url, string(b), fconf.ForwardHeaders) if err != nil { errChan <- x.GqlErrorList{externalRequestError(err, f)} return From 91e28d53c356312956230dad94dfb0d5e9f04135 Mon Sep 17 00:00:00 2001 From: Abhimanyu Singh Gaur <12651351+abhimanyusinghgaur@users.noreply.github.com> Date: Mon, 27 Jul 2020 18:40:50 +0530 Subject: [PATCH 020/151] chore(GraphQL): remove skipped tests (#6078) Fixes GRAPHQL-562. --- .../e2e/custom_logic/cmd/graphqlresponse.yaml | 18 ----- graphql/e2e/custom_logic/cmd/main.go | 14 ---- graphql/e2e/custom_logic/custom_logic_test.go | 71 +------------------ 3 files changed, 2 insertions(+), 101 deletions(-) diff --git a/graphql/e2e/custom_logic/cmd/graphqlresponse.yaml b/graphql/e2e/custom_logic/cmd/graphqlresponse.yaml index 10d45e768e9..91ac57accd7 100644 --- a/graphql/e2e/custom_logic/cmd/graphqlresponse.yaml +++ b/graphql/e2e/custom_logic/cmd/graphqlresponse.yaml @@ -437,24 +437,6 @@ getPosts(input: [PostFilterInput]): [Post!] } -- name: getPostswithLike - schema: | - input PostFilterInput{ - id: ID! - text: String! - likes: Int - } - - type Post { - id: ID! - text: String - comments: Post! - } - - type Query{ - getPosts(input: [PostFilterInput]): [Post!] - } - - name: "carsschema" schema: | type Car { diff --git a/graphql/e2e/custom_logic/cmd/main.go b/graphql/e2e/custom_logic/cmd/main.go index 67c9d95185d..9981f546562 100644 --- a/graphql/e2e/custom_logic/cmd/main.go +++ b/graphql/e2e/custom_logic/cmd/main.go @@ -595,19 +595,6 @@ func getPosts(w http.ResponseWriter, r *http.Request) { check2(fmt.Fprint(w, generateIntrospectionResult(graphqlResponses["getPosts"].Schema))) } -func getPostswithLike(w http.ResponseWriter, r *http.Request) { - _, err := verifyGraphqlRequest(r, expectedGraphqlRequest{ - urlSuffix: "/getPostswithLike", - body: ``, - }) - if err != nil { - check2(w.Write([]byte(err.Error()))) - return - } - - check2(fmt.Fprint(w, generateIntrospectionResult(graphqlResponses["getPostswithLike"].Schema))) -} - type input struct { ID string `json:"uid"` } @@ -1229,7 +1216,6 @@ func main() { bsch := graphql.MustParseSchema(graphqlResponses["batchOperationSchema"].Schema, &query{}) bh := &relay.Handler{Schema: bsch} http.HandleFunc("/getPosts", getPosts) - http.HandleFunc("/getPostswithLike", getPostswithLike) http.Handle("/gqlUserNames", bh) http.Handle("/gqlCars", bh) http.HandleFunc("/gqlCarsWithErrors", gqlCarsWithErrorHandler) diff --git a/graphql/e2e/custom_logic/custom_logic_test.go b/graphql/e2e/custom_logic/custom_logic_test.go index ba3a8bbcb97..45845d93d90 100644 --- a/graphql/e2e/custom_logic/custom_logic_test.go +++ b/graphql/e2e/custom_logic/custom_logic_test.go @@ -2001,51 +2001,6 @@ func TestCustomGraphqlMissingTypeForBatchedFieldInput(t *testing.T) { "PostFilterInput.\n") } -func TestCustomGraphqlInvalidArgForBatchedField(t *testing.T) { - t.Skip() - schema := ` - type Post { - id: ID! - text: String - comments: Post! @custom(http: { - url: "http://mock:8888/getPosts", - method: "POST", - mode: BATCH - graphql: "query { getPosts(input: [{name: $id}]) }" - }) - } - ` - res := updateSchema(t, schema) - require.Equal(t, `{"updateGQLSchema":null}`, string(res.Data)) - require.Len(t, res.Errors, 1) - require.Equal(t, "resolving updateGQLSchema failed because input:9: Type Post"+ - "; Field comments: inside graphql in @custom directive, argument `name` is not present "+ - "in remote query `getPosts`.\n", res.Errors[0].Error()) -} - -func TestCustomGraphqlArgTypeMismatchForBatchedField(t *testing.T) { - t.Skip() - schema := ` - type Post { - id: ID! - likes: Int - text: String - comments: Post! @custom(http: { - url: "http://mock:8888/getPostswithLike", - method: "POST", - mode: BATCH - graphql: "query { getPosts(input: [{id: $id, text: $likes}]) }" - }) - } - ` - res := updateSchema(t, schema) - require.Equal(t, `{"updateGQLSchema":null}`, string(res.Data)) - require.Len(t, res.Errors, 1) - require.Equal(t, "resolving updateGQLSchema failed because input:10: Type Post"+ - "; Field comments: inside graphql in @custom directive, found type mismatch for variable"+ - " `$likes` in query `getPosts`, expected `Int`, got `String!`.\n", res.Errors[0].Error()) -} - func TestCustomGraphqlMissingRequiredArgument(t *testing.T) { schema := ` type Country @remote { @@ -2086,28 +2041,6 @@ func TestCustomGraphqlMissingRequiredArgument(t *testing.T) { " `setCountry` is missing, it is required by remote mutation.") } -func TestCustomGraphqlMissingRequiredArgumentForBatchedField(t *testing.T) { - t.Skip() - schema := ` - type Post { - id: ID! - text: String - comments: Post! @custom(http: { - url: "http://mock:8888/getPosts", - method: "POST", - mode: BATCH - graphql: "query { getPosts(input: [{id: $id}]) }" - }) - } - ` - res := updateSchema(t, schema) - require.Equal(t, `{"updateGQLSchema":null}`, string(res.Data)) - require.Len(t, res.Errors, 1) - require.Equal(t, "resolving updateGQLSchema failed because input:9: Type Post"+ - "; Field comments: inside graphql in @custom directive, argument `text` in query "+ - "`getPosts` is missing, it is required by remote query.\n", res.Errors[0].Error()) -} - // this one accepts an object and returns an object func TestCustomGraphqlMutation1(t *testing.T) { schema := ` @@ -2458,7 +2391,7 @@ func TestRestCustomLogicInDeepNestedField(t *testing.T) { result = params.ExecuteAsPost(t, alphaURL) common.RequireNoGQLErrors(t, result) - require.JSONEq(t, string(result.Data), ` + testutil.CompareJSON(t, ` { "querySearchTweets": [ { @@ -2479,5 +2412,5 @@ func TestRestCustomLogicInDeepNestedField(t *testing.T) { } } ] - }`) + }`, string(result.Data)) } From e45c2964e51322860be9866a44bbd193f676c98f Mon Sep 17 00:00:00 2001 From: Martin Martinez Rivera Date: Mon, 27 Jul 2020 15:02:11 -0700 Subject: [PATCH 021/151] test: Add extra assesrtions to reverse uid test. (#6061) Make sure both the main and reverse edges are deleted when the main edge is deleted. --- systest/mutations_test.go | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/systest/mutations_test.go b/systest/mutations_test.go index fd8908fae65..4e25ab3e4d4 100644 --- a/systest/mutations_test.go +++ b/systest/mutations_test.go @@ -2322,9 +2322,12 @@ func OverwriteUidPredicatesReverse(t *testing.T, c *dgo.Dgraph) { string(resp.GetJson())) // Delete the triples and verify the reverse edge is gone. + upsertQuery = `query { + alice as var(func: eq(name, Alice)) + carol as var(func: eq(name, Carol)) }` upsertMutation = &api.Mutation{ DelNquads: []byte(` - uid(alice) * .`), + uid(alice) uid(carol) .`), } req = &api.Request{ Query: upsertQuery, @@ -2339,6 +2342,10 @@ func OverwriteUidPredicatesReverse(t *testing.T, c *dgo.Dgraph) { testutil.CompareJSON(t, `{"reverse":[]}`, string(resp.GetJson())) + resp, err = c.NewReadOnlyTxn().Query(ctx, q) + require.NoError(t, err) + testutil.CompareJSON(t, `{"me":[{"name":"Alice"}]}`, + string(resp.GetJson())) } func DeleteAndQuerySameTxn(t *testing.T, c *dgo.Dgraph) { From a5c469d56741a4a6e2c668b5053dba17bbfa5860 Mon Sep 17 00:00:00 2001 From: Anurag Date: Tue, 28 Jul 2020 12:35:01 +0530 Subject: [PATCH 022/151] chore: Modify test to remove flakiness caused by explicit uids (#6080) --- systest/loader/loader_test.go | 96 ++++++++--------------------------- 1 file changed, 21 insertions(+), 75 deletions(-) diff --git a/systest/loader/loader_test.go b/systest/loader/loader_test.go index d1fa6d7e480..a83900c02a4 100644 --- a/systest/loader/loader_test.go +++ b/systest/loader/loader_test.go @@ -17,23 +17,26 @@ package main import ( - "bytes" - "encoding/json" - "fmt" + "context" "io/ioutil" - "net/http" "os" "os/exec" "path/filepath" - "strings" "testing" "github.com/stretchr/testify/require" + "github.com/dgraph-io/dgo/v200/protos/api" "github.com/dgraph-io/dgraph/testutil" + "github.com/dgraph-io/dgraph/x" ) +// TestLoaderXidmap checks that live loader re-uses xidmap on loading data from two different files func TestLoaderXidmap(t *testing.T) { + dg, err := testutil.DgraphClient(testutil.SockAddr) + require.NoError(t, err) + ctx := context.Background() + testutil.DropAll(t, dg) tmpDir, err := ioutil.TempDir("", "loader_test") require.NoError(t, err) defer os.RemoveAll(tmpDir) @@ -63,80 +66,23 @@ func TestLoaderXidmap(t *testing.T) { liveCmd.Stderr = os.Stdout require.NoError(t, liveCmd.Run()) - exportRequest := `mutation { - export(input: {format: "rdf"}) { - response { - code - message + op := api.Operation{Schema: "name: string @index(exact) ."} + x.Check(dg.Alter(ctx, &op)) + + query := ` + { + q(func: eq(name, "Alice")) { + age + location + friend{ + name } } }` + expected := `{"q":[{"age":"13","location":"Wonderland","friend":[{"name":"Bob"}]}]}` - adminUrl := "http://" + testutil.SockAddrHttp + "/admin" - params := testutil.GraphQLParams{ - Query: exportRequest, - Variables: map[string]interface{}{"format": "json"}, - } - b, err := json.Marshal(params) - require.NoError(t, err) - resp, err := http.Post(adminUrl, "application/json", bytes.NewBuffer(b)) - require.NoError(t, err) - defer resp.Body.Close() - b, err = ioutil.ReadAll(resp.Body) - require.NoError(t, err) - expected := `{ - "export": { - "response": { - "code": "Success", - "message": "Export completed." - } - } - }` - res1 := &testutil.GraphQLResponse{} - err = json.Unmarshal(b, res1) - require.NoError(t, err) - require.JSONEq(t, expected, string(res1.Data)) - - require.NoError(t, copyExportFiles(tmpDir)) - - dataFile, err := findFile(filepath.Join(tmpDir, "export"), ".rdf.gz") + resp, err := dg.NewReadOnlyTxn().Query(ctx, query) require.NoError(t, err) + testutil.CompareJSON(t, expected, string(resp.GetJson())) - cmd := fmt.Sprintf("gunzip -c %s | sort", dataFile) - out, err := exec.Command("sh", "-c", cmd).Output() - require.NoError(t, err) - - expected = `<0x1> "13" . -<0x1> <0x2711> . -<0x1> "Wonderland" . -<0x1> "Alice" . -<0x2711> "Bob" . -` - require.Equal(t, expected, string(out)) -} - -func copyExportFiles(tmpDir string) error { - exportPath := filepath.Join(tmpDir, "export") - if err := os.MkdirAll(exportPath, 0755); err != nil { - return err - } - - srcPath := "alpha1:/data/alpha1/export" - dstPath := filepath.Join(tmpDir, "export") - return testutil.DockerCp(srcPath, dstPath) -} - -func findFile(dir string, ext string) (string, error) { - var fp string - err := filepath.Walk(dir, func(path string, info os.FileInfo, err error) error { - if err != nil { - return err - } - if strings.HasSuffix(path, ext) { - fp = path - return nil - } - return nil - }) - return fp, err } From dbe84ae9845a96d4731ed806bc0136adaebeeb20 Mon Sep 17 00:00:00 2001 From: antblood Date: Tue, 28 Jul 2020 19:13:20 +0530 Subject: [PATCH 023/151] added a unit test and now considering the if condition also --- query/query.go | 9 +++++---- query/query1_test.go | 17 +++++++++++++++++ 2 files changed, 22 insertions(+), 4 deletions(-) diff --git a/query/query.go b/query/query.go index 6820576e4b9..8161170b5e6 100644 --- a/query/query.go +++ b/query/query.go @@ -2009,11 +2009,12 @@ func ProcessGraph(ctx context.Context, sg, parent *SubGraph, rch chan error) { sort.Slice(sg.DestUIDs.Uids, func(i, j int) bool { return sg.DestUIDs.Uids[i] < sg.DestUIDs.Uids[j] }) - if sg.Params.AfterUID > 0 { - i := sort.Search(len(sg.DestUIDs.Uids), func(i int) bool { return sg.DestUIDs.Uids[i] > sg.Params.AfterUID }) - sg.DestUIDs.Uids = sg.DestUIDs.Uids[i:] - } } + if sg.Params.AfterUID > 0 { + i := sort.Search(len(sg.DestUIDs.Uids), func(i int) bool { return sg.DestUIDs.Uids[i] > sg.Params.AfterUID }) + sg.DestUIDs.Uids = sg.DestUIDs.Uids[i:] + } + case sg.Attr == "": // This is when we have uid function in children. if sg.SrcFunc != nil && sg.SrcFunc.Name == "uid" { diff --git a/query/query1_test.go b/query/query1_test.go index 93877330de3..858e1c95aa4 100644 --- a/query/query1_test.go +++ b/query/query1_test.go @@ -669,6 +669,23 @@ func TestHasFuncAtRootWithAfter(t *testing.T) { require.JSONEq(t, `{"data": {"me":[{"friend":[{"count":1}],"name":"Rick Grimes","uid":"0x17"},{"friend":[{"count":1}],"name":"Andrea","uid":"0x1f"}]}}`, js) } +func TestHasFuncAtRootWithAfterOnUIDs(t *testing.T) { + + query := ` + { + var(func: has(name)) { + uids as uid + } + me(func: uid(uids), first: 2, after: 0x5) { + uid + } + } + ` + + js := processQueryNoErr(t, query) + require.JSONEq(t, `{"data": {"me":[{"uid":"0x6"},{"uid":"0x7"}]}}`, js) +} + func TestHasFuncAtRootFilter(t *testing.T) { query := ` From 601e837e39d6e796db8f5c46921413f63e02b3c2 Mon Sep 17 00:00:00 2001 From: Jatin Dev <64803093+JatinDevDG@users.noreply.github.com> Date: Tue, 28 Jul 2020 21:28:20 +0530 Subject: [PATCH 024/151] fix(GraphQL): Disallow Subscription typename. (#6077) This PR disallow Subscription typename so that it doesn't conflict with Subscriptions generated. --- graphql/schema/gqlschema_test.yml | 14 +++++++++++++- graphql/schema/rules.go | 8 +++++++- 2 files changed, 20 insertions(+), 2 deletions(-) diff --git a/graphql/schema/gqlschema_test.yml b/graphql/schema/gqlschema_test.yml index 55d3310e779..10f4faaa451 100644 --- a/graphql/schema/gqlschema_test.yml +++ b/graphql/schema/gqlschema_test.yml @@ -2387,6 +2387,18 @@ invalid_schemas: "locations":[{"line":6, "column":5}]} ] + - + name: "Subscription typename should return error" + input: | + type Subscription { + name: String + } + + errlist: [ + {"message": "Subscription is a reserved word, so you can't declare a type with this name. Pick a different name for the type.", "locations": [{"line":1, "column":6}]}, + ] + + valid_schemas: - name: "@auth on interface implementation" input: | @@ -2677,4 +2689,4 @@ valid_schemas: id: ID! name: String owns: [Object] @dgraph(pred: "~Object.owner") - } + } \ No newline at end of file diff --git a/graphql/schema/rules.go b/graphql/schema/rules.go index 9b22685d077..08cceba717a 100644 --- a/graphql/schema/rules.go +++ b/graphql/schema/rules.go @@ -1781,7 +1781,13 @@ func isReservedArgument(name string) bool { } func isReservedKeyWord(name string) bool { - if isScalar(name) || isQueryOrMutation(name) || name == "uid" { + reservedTypeNames := map[string]bool{ + // Reserved Type names + "uid": true, + "Subscription": true, + } + + if isScalar(name) || isQueryOrMutation(name) || reservedTypeNames[name] { return true } From bcd16848408d918c289131fede572265fb178551 Mon Sep 17 00:00:00 2001 From: Daniel Mai Date: Tue, 28 Jul 2020 13:14:32 -0700 Subject: [PATCH 025/151] build(standalone): Add DGRAPH_VERSION to build different Dgraph versions for standalone image. (#6082) The standalone images build from the same tags as the `dgraph/dgraph` image. To build and push the v20.03.4 and latest `dgraph/standalone` images: # Build v20.03.4 make DGRAPH_VERSION=v20.03.4 make DGRAPH_VERSION=v20.03.4 push # Build latest. DGRAPH_VERSION defaults to latest make make push Changes * Add `DOCKER_IMAGE` and `DGRAPH_VERSION` arguments to build standalone Docker image. * Add ./hooks folder for Docker Hub auto-builds with `--build-arg`s (following [Custom build phase hooks](https://docs.docker.com/docker-hub/builds/advanced/#custom-build-phase-hooks) docs). --- contrib/standalone/Dockerfile | 3 ++- contrib/standalone/Dockerfile.master | 13 ---------- contrib/standalone/Makefile | 39 ++++++++++++++++++++++++++-- contrib/standalone/hooks/build | 3 +++ 4 files changed, 42 insertions(+), 16 deletions(-) delete mode 100644 contrib/standalone/Dockerfile.master create mode 100755 contrib/standalone/hooks/build diff --git a/contrib/standalone/Dockerfile b/contrib/standalone/Dockerfile index a0c964de9d2..f023bad1be9 100644 --- a/contrib/standalone/Dockerfile +++ b/contrib/standalone/Dockerfile @@ -1,4 +1,5 @@ -FROM dgraph/dgraph:latest +ARG DGRAPH_VERSION=latest +FROM dgraph/dgraph:${DGRAPH_VERSION} LABEL MAINTAINER="Dgraph Labs " # Ratel port diff --git a/contrib/standalone/Dockerfile.master b/contrib/standalone/Dockerfile.master deleted file mode 100644 index cc6bd4f20da..00000000000 --- a/contrib/standalone/Dockerfile.master +++ /dev/null @@ -1,13 +0,0 @@ -FROM dgraph/dgraph:master -LABEL MAINTAINER="Dgraph Labs " - -# Ratel port -EXPOSE 8000 -# REST API port -EXPOSE 8080 -# gRPC API port -EXPOSE 9080 - -ADD run.sh . -RUN chmod +x run.sh -CMD ["./run.sh"] diff --git a/contrib/standalone/Makefile b/contrib/standalone/Makefile index 0db31ad1daf..b06c1e730b6 100644 --- a/contrib/standalone/Makefile +++ b/contrib/standalone/Makefile @@ -1,3 +1,38 @@ -.PHONY: build +# Build dgraph/standalone image +# Usage: +# +# For latest tag: +# Build, based on dgraph/dgraph:latest: +# make +# Push: +# make push +# +# For $TAG tag, set DGRAPH_VERSION: +# Build, based on dgraph/dgraph:latest: +# make DGRAPH_VERSION=$TAG +# Push: +# make DGRAPH_VERSION=$TAG push +# +# Examples +# Build and push latest: +# make +# make push +# +# Build and push master: +# make DGRAPH_VERSION=master +# make DGRAPH_VERSION=master push +# +.PHONY: all build push version + +export DGRAPH_VERSION ?= latest + +all: build version + build: - docker build -t dgraph/standalone:latest . + ./hooks/build + +push: + docker push dgraph/standalone:$(DGRAPH_VERSION) + +version: + docker run dgraph/standalone:$(DGRAPH_VERSION) dgraph version diff --git a/contrib/standalone/hooks/build b/contrib/standalone/hooks/build new file mode 100755 index 00000000000..c9af4522026 --- /dev/null +++ b/contrib/standalone/hooks/build @@ -0,0 +1,3 @@ +#!/bin/bash +# Used for Makefile or Docker Hub builds +docker build -t dgraph/standalone:${DGRAPH_VERSION} --build-arg DGRAPH_VERSION=${DGRAPH_VERSION} . From 768da25d9584a39f845af15e9158f9782fec16e4 Mon Sep 17 00:00:00 2001 From: parasssh Date: Tue, 28 Jul 2020 14:06:52 -0700 Subject: [PATCH 026/151] chore(changelog): Changelog for 20.07.0 (#6111) --- CHANGELOG.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 3adc94ccb76..671a58940ab 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -4,8 +4,8 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/) and this project will adhere to [Calendar Versioning](https://calver.org/) starting v20.03. -## [20.07.0] - Unreleased -[20.07.0]: https://github.com/dgraph-io/dgraph/compare/v20.03.3...v20.07.0-rc1 +## [20.07.0] - 2020-07-28 +[20.07.0]: https://github.com/dgraph-io/dgraph/compare/v20.03.4...v20.07.0 ### Changed @@ -305,7 +305,7 @@ and this project will adhere to [Calendar Versioning](https://calver.org/) start [#6034]: https://github.com/dgraph-io/dgraph/issues/6034 [#6043]: https://github.com/dgraph-io/dgraph/issues/6043 -## [20.03.4] - Unreleased +## [20.03.4] - 2020-07-23 [20.03.4]: https://github.com/dgraph-io/dgraph/compare/v20.03.3...v20.03.4 ### Changed From 27ddecab1996efada80da23840e04dcd357a5c2c Mon Sep 17 00:00:00 2001 From: Daniel Mai Date: Tue, 28 Jul 2020 15:26:04 -0700 Subject: [PATCH 027/151] chore(version): Add release codename to version output. (#6113) This adds a codename field to the dgraph version output. The codename is set explicitly in the Makefiles for Dgraph. The codename is also pushed to Sentry. Additionally, this updates the Makefile to check if the working directory has any uncommitted changes. If so, the codename is suffixed with "-mod" to indicate that the binary was created with uncommitted modified changes. Changes * Update dgraph version output with the codename * Update build Makefiles to include the codename and "-mod" suffix * Update Sentry reporting --- Makefile | 12 ++++++++---- dgraph/Makefile | 28 ++++++++++++++++------------ x/init.go | 5 ++++- x/sentry_integration.go | 1 + 4 files changed, 29 insertions(+), 17 deletions(-) diff --git a/Makefile b/Makefile index b9833e10b0c..4e4344e51f8 100644 --- a/Makefile +++ b/Makefile @@ -14,10 +14,13 @@ # limitations under the License. # -BUILD ?= $(shell git rev-parse --short HEAD) -BUILD_DATE ?= $(shell git log -1 --format=%ci) -BUILD_BRANCH ?= $(shell git rev-parse --abbrev-ref HEAD) -BUILD_VERSION ?= $(shell git describe --always --tags) +BUILD ?= $(shell git rev-parse --short HEAD) +BUILD_CODENAME = unnamed +BUILD_DATE ?= $(shell git log -1 --format=%ci) +BUILD_BRANCH ?= $(shell git rev-parse --abbrev-ref HEAD) +BUILD_VERSION ?= $(shell git describe --always --tags) + +MODIFIED = $(shell git diff-index --quiet HEAD || echo "-mod") SUBDIRS = dgraph @@ -35,6 +38,7 @@ oss: version: @echo Dgraph ${BUILD_VERSION} @echo Build: ${BUILD} + @echo Codename: ${BUILD_CODENAME}${MODIFIED} @echo Build date: ${BUILD_DATE} @echo Branch: ${BUILD_BRANCH} @echo Go version: $(shell go version) diff --git a/dgraph/Makefile b/dgraph/Makefile index 51fc60a98fa..7721e3870af 100644 --- a/dgraph/Makefile +++ b/dgraph/Makefile @@ -14,23 +14,27 @@ # limitations under the License. # -BIN = dgraph -BUILD ?= $(shell git rev-parse --short HEAD) -BUILD_DATE ?= $(shell git log -1 --format=%ci) -BUILD_BRANCH ?= $(shell git rev-parse --abbrev-ref HEAD) -BUILD_VERSION ?= $(shell git describe --always --tags) -BUILD_TAGS ?= -GOPATH ?= $(shell go env GOPATH) +BIN = dgraph +BUILD ?= $(shell git rev-parse --short HEAD) +BUILD_CODENAME = unnamed +BUILD_DATE ?= $(shell git log -1 --format=%ci) +BUILD_BRANCH ?= $(shell git rev-parse --abbrev-ref HEAD) +BUILD_VERSION ?= $(shell git describe --always --tags) +BUILD_TAGS ?= +GOPATH ?= $(shell go env GOPATH) + +MODIFIED = $(shell git diff-index --quiet HEAD || echo "-mod") export GO111MODULE := on # Build-time Go variables -dgraphVersion = github.com/dgraph-io/dgraph/x.dgraphVersion -gitBranch = github.com/dgraph-io/dgraph/x.gitBranch -lastCommitSHA = github.com/dgraph-io/dgraph/x.lastCommitSHA -lastCommitTime = github.com/dgraph-io/dgraph/x.lastCommitTime +dgraphVersion = github.com/dgraph-io/dgraph/x.dgraphVersion +dgraphCodename = github.com/dgraph-io/dgraph/x.dgraphCodename +gitBranch = github.com/dgraph-io/dgraph/x.gitBranch +lastCommitSHA = github.com/dgraph-io/dgraph/x.lastCommitSHA +lastCommitTime = github.com/dgraph-io/dgraph/x.lastCommitTime -BUILD_FLAGS ?= -ldflags '-X ${lastCommitSHA}=${BUILD} -X "${lastCommitTime}=${BUILD_DATE}" -X "${dgraphVersion}=${BUILD_VERSION}" -X ${gitBranch}=${BUILD_BRANCH}' +BUILD_FLAGS ?= -ldflags '-X ${lastCommitSHA}=${BUILD} -X "${lastCommitTime}=${BUILD_DATE}" -X "${dgraphVersion}=${BUILD_VERSION}" -X "${dgraphCodename}=${BUILD_CODENAME}${MODIFIED}" -X ${gitBranch}=${BUILD_BRANCH}' # Insert build tags if specified ifneq ($(strip $(BUILD_TAGS)),) diff --git a/x/init.go b/x/init.go index d3128f979b6..9ce90305b63 100644 --- a/x/init.go +++ b/x/init.go @@ -34,6 +34,7 @@ var ( // These variables are set using -ldflags dgraphVersion string + dgraphCodename string gitBranch string lastCommitSHA string lastCommitTime string @@ -74,8 +75,10 @@ func BuildDetails() string { licenseInfo = "Licensed variously under the Apache Public License 2.0 and Dgraph " + "Community License" } + return fmt.Sprintf(` Dgraph version : %v +Dgraph codename : %v Dgraph SHA-256 : %x Commit SHA-1 : %v Commit timestamp : %v @@ -89,7 +92,7 @@ For discussions about Dgraph , visit https://discuss.dgraph.io. Copyright 2015-2020 Dgraph Labs, Inc. `, - dgraphVersion, ExecutableChecksum(), lastCommitSHA, lastCommitTime, gitBranch, + dgraphVersion, dgraphCodename, ExecutableChecksum(), lastCommitSHA, lastCommitTime, gitBranch, runtime.Version(), licenseInfo) } diff --git a/x/sentry_integration.go b/x/sentry_integration.go index ce65d02a73e..63306066cbf 100644 --- a/x/sentry_integration.go +++ b/x/sentry_integration.go @@ -112,6 +112,7 @@ func ConfigureSentryScope(subcmd string) { scope.SetTag("commit", lastCommitSHA) scope.SetTag("commit_ts", lastCommitTime) scope.SetTag("branch", gitBranch) + scope.SetTag("codename", dgraphCodename) scope.SetLevel(sentry.LevelFatal) }) From 72e6a4757d3cc7fb68479a50ab72303a780feb49 Mon Sep 17 00:00:00 2001 From: Jatin Dev <64803093+JatinDevDG@users.noreply.github.com> Date: Wed, 29 Jul 2020 12:06:06 +0530 Subject: [PATCH 028/151] fix(GraphQL): fix bug in custom resolver, now body need not have all the fields. (#6054) This PR fix bug in custom resolver, now body need not have all the fields(both nullable and non-nullable). --- graphql/e2e/custom_logic/cmd/main.go | 81 ++++++- graphql/e2e/custom_logic/custom_logic_test.go | 213 ++++++++++++++++++ graphql/resolve/resolver.go | 1 + graphql/schema/wrappers.go | 22 +- graphql/schema/wrappers_test.go | 11 +- 5 files changed, 314 insertions(+), 14 deletions(-) diff --git a/graphql/e2e/custom_logic/cmd/main.go b/graphql/e2e/custom_logic/cmd/main.go index 9981f546562..14d3819cbca 100644 --- a/graphql/e2e/custom_logic/cmd/main.go +++ b/graphql/e2e/custom_logic/cmd/main.go @@ -277,6 +277,20 @@ func postFavMoviesHandler(w http.ResponseWriter, r *http.Request) { check2(w.Write(getDefaultResponse())) } +func postFavMoviesWithBodyHandler(w http.ResponseWriter, r *http.Request) { + err := verifyRequest(r, expectedRequest{ + method: http.MethodPost, + urlSuffix: "/0x123?name=Author", + body: `{"id":"0x123","name":"Author"}`, + headers: nil, + }) + if err != nil { + check2(w.Write([]byte(err.Error()))) + return + } + check2(w.Write(getDefaultResponse())) +} + func verifyHeadersHandler(w http.ResponseWriter, r *http.Request) { err := verifyRequest(r, expectedRequest{ method: http.MethodGet, @@ -384,6 +398,36 @@ func favMoviesCreateHandler(w http.ResponseWriter, r *http.Request) { ]`))) } +func favMoviesCreateWithNullBodyHandler(w http.ResponseWriter, r *http.Request) { + err := verifyRequest(r, expectedRequest{ + method: http.MethodPost, + urlSuffix: "/favMoviesCreateWithNullBody", + body: `{"movies":[{"director":[{"name":"Dir1"}],"name":"Mov1"},{"name":null}]}`, + headers: nil, + }) + if err != nil { + check2(w.Write([]byte(err.Error()))) + return + } + + check2(w.Write([]byte(`[ + { + "id": "0x1", + "name": "Mov1", + "director": [ + { + "id": "0x2", + "name": "Dir1" + } + ] + }, + { + "id": "0x3", + "name": null + } + ]`))) +} + func favMoviesUpdateHandler(w http.ResponseWriter, r *http.Request) { err := verifyRequest(r, expectedRequest{ method: http.MethodPatch, @@ -792,6 +836,39 @@ func userNameHandler(w http.ResponseWriter, r *http.Request) { nameHandler(w, r, &inputBody) } +func userNameWithoutAddressHandler(w http.ResponseWriter, r *http.Request) { + expectedRequest := expectedRequest{ + body: `{"uid":"0x5"}`, + } + + b, err := ioutil.ReadAll(r.Body) + fmt.Println(b, err) + if err != nil { + err = getError("Unable to read request body", err.Error()) + check2(w.Write([]byte(err.Error()))) + return + } + + if string(b) != expectedRequest.body { + err = getError("Unexpected value for request body", string(b)) + } + if err != nil { + check2(w.Write([]byte(err.Error()))) + return + } + + var inputBody input + if err := json.Unmarshal(b, &inputBody); err != nil { + fmt.Println("while doing JSON unmarshal: ", err) + check2(w.Write([]byte(err.Error()))) + return + } + + n := fmt.Sprintf(`"%s"`, inputBody.Name()) + check2(fmt.Fprint(w, n)) + +} + func carHandler(w http.ResponseWriter, r *http.Request) { var inputBody input err := getInput(r, &inputBody) @@ -1134,6 +1211,7 @@ func main() { // for queries http.HandleFunc("/favMovies/", getFavMoviesHandler) http.HandleFunc("/favMoviesPost/", postFavMoviesHandler) + http.HandleFunc("/favMoviesPostWithBody/", postFavMoviesWithBodyHandler) http.HandleFunc("/verifyHeaders", verifyHeadersHandler) http.HandleFunc("/verifyCustomNameHeaders", verifyCustomNameHeadersHandler) http.HandleFunc("/twitterfollowers", twitterFollwerHandler) @@ -1142,7 +1220,7 @@ func main() { http.HandleFunc("/favMoviesCreate", favMoviesCreateHandler) http.HandleFunc("/favMoviesUpdate/", favMoviesUpdateHandler) http.HandleFunc("/favMoviesDelete/", favMoviesDeleteHandler) - + http.HandleFunc("/favMoviesCreateWithNullBody", favMoviesCreateWithNullBodyHandler) // The endpoints below are for testing custom resolution of fields within type definitions. // for testing batch mode http.HandleFunc("/userNames", userNamesHandler) @@ -1154,6 +1232,7 @@ func main() { // for testing single mode http.HandleFunc("/userName", userNameHandler) + http.HandleFunc("/userNameWithoutAddress", userNameWithoutAddressHandler) http.HandleFunc("/checkHeadersForUserName", userNameHandlerWithHeaders) http.HandleFunc("/car", carHandler) http.HandleFunc("/class", classHandler) diff --git a/graphql/e2e/custom_logic/custom_logic_test.go b/graphql/e2e/custom_logic/custom_logic_test.go index 45845d93d90..08881031415 100644 --- a/graphql/e2e/custom_logic/custom_logic_test.go +++ b/graphql/e2e/custom_logic/custom_logic_test.go @@ -37,6 +37,7 @@ const ( alphaURL = "http://localhost:8180/graphql" alphaAdminURL = "http://localhost:8180/admin" subscriptionEndpoint = "ws://localhost:8180/graphql" + groupOnegRPC = "localhost:9180" customTypes = `type MovieDirector @remote { id: ID! name: String! @@ -158,6 +159,42 @@ func TestCustomPostQuery(t *testing.T) { require.JSONEq(t, expected, string(result.Data)) } +func TestCustomPostQueryWithBody(t *testing.T) { + schema := customTypes + ` + type Query { + myFavoriteMoviesPost(id: ID!, name: String!, num: Int): [Movie] @custom(http: { + url: "http://mock:8888/favMoviesPostWithBody/$id?name=$name", + body:"{id:$id,name:$name,num:$num}" + method: "POST" + }) + }` + updateSchemaRequireNoGQLErrors(t, schema) + time.Sleep(2 * time.Second) + + query := ` + query { + myFavoriteMoviesPost(id: "0x123", name: "Author") { + id + name + director { + id + name + } + } + }` + params := &common.GraphQLParams{ + Query: query, + } + + result := params.ExecuteAsPost(t, alphaURL) + require.Nil(t, result.Errors) + + expected := `{"myFavoriteMoviesPost":[{"id":"0x3","name":"Star Wars","director": + [{"id":"0x4","name":"George Lucas"}]},{"id":"0x5","name":"Star Trek","director": + [{"id":"0x6","name":"J.J. Abrams"}]}]}` + require.JSONEq(t, expected, string(result.Data)) +} + func TestCustomQueryShouldForwardHeaders(t *testing.T) { schema := customTypes + ` type Query { @@ -1012,6 +1049,103 @@ func TestCustomFieldsShouldForwardHeaders(t *testing.T) { require.Nilf(t, result.Errors, "%+v", result.Errors) } +func TestCustomFieldsShouldSkipNonEmptyVariable(t *testing.T) { + schema := ` + type User { + id: ID! + address:String + name: String + @custom( + http: { + url: "http://mock:8888/userName" + method: "GET" + body: "{uid: $id,address:$address}" + mode: SINGLE, + secretHeaders: ["GITHUB-API-TOKEN"] + } + ) + age: Int! @search + } + +# Dgraph.Secret GITHUB-API-TOKEN "some-api-token" + ` + updateSchemaRequireNoGQLErrors(t, schema) + time.Sleep(2 * time.Second) + + users := addUsers(t) + queryUser := ` + query ($id: [ID!]){ + queryUser(filter: {id: $id}, order: {asc: age}) { + name + age + } + }` + params := &common.GraphQLParams{ + Query: queryUser, + Variables: map[string]interface{}{"id": []interface{}{ + users[0].ID, users[1].ID, users[2].ID}}, + } + + result := params.ExecuteAsPost(t, alphaURL) + require.Nilf(t, result.Errors, "%+v", result.Errors) +} + +func TestCustomFieldsShouldPassBody(t *testing.T) { + dg, err := testutil.DgraphClient(groupOnegRPC) + require.NoError(t, err) + testutil.DropAll(t, dg) + schema := ` + type User { + id: String! @id @search(by: [hash, regexp]) + address:String + name: String + @custom( + http: { + url: "http://mock:8888/userNameWithoutAddress" + method: "GET" + body: "{uid: $id,address:$address}" + mode: SINGLE, + secretHeaders: ["GITHUB-API-TOKEN"] + } + ) + age: Int! @search + } +# Dgraph.Secret GITHUB-API-TOKEN "some-api-token" + ` + updateSchemaRequireNoGQLErrors(t, schema) + time.Sleep(2 * time.Second) + + params := &common.GraphQLParams{ + Query: `mutation addUser { + addUser(input: [{ id:"0x5", age: 10 }]) { + user { + id + age + } + } + }`, + } + + result := params.ExecuteAsPost(t, alphaURL) + common.RequireNoGQLErrors(t, result) + + queryUser := ` + query ($id: String!){ + queryUser(filter: {id: {eq: $id}}) { + name + age + } + }` + + params = &common.GraphQLParams{ + Query: queryUser, + Variables: map[string]interface{}{"id": "0x5"}, + } + + result = params.ExecuteAsPost(t, alphaURL) + require.Nilf(t, result.Errors, "%+v", result.Errors) +} + func TestCustomFieldsShouldBeResolved(t *testing.T) { // This test adds data, modifies the schema multiple times and fetches the data. // It has the following modes. @@ -1732,6 +1866,85 @@ func TestCustomPostMutation(t *testing.T) { require.JSONEq(t, expected, string(result.Data)) } +func TestCustomPostMutationNullInBody(t *testing.T) { + schema := `type MovieDirector @remote { + id: ID! + name: String! + directed: [Movie] + } + type Movie @remote { + id: ID! + name: String + director: [MovieDirector] + } + input MovieDirectorInput { + id: ID + name: String + directed: [MovieInput] + } + input MovieInput { + id: ID + name: String + director: [MovieDirectorInput] + } + type Mutation { + createMyFavouriteMovies(input: [MovieInput!]): [Movie] @custom(http: { + url: "http://mock:8888/favMoviesCreateWithNullBody", + method: "POST", + body: "{ movies: $input}" + }) + }` + updateSchemaRequireNoGQLErrors(t, schema) + time.Sleep(2 * time.Second) + + params := &common.GraphQLParams{ + Query: ` + mutation createMovies($movs: [MovieInput!]) { + createMyFavouriteMovies(input: $movs) { + id + name + director { + id + name + } + } + }`, + Variables: map[string]interface{}{ + "movs": []interface{}{ + map[string]interface{}{ + "name": "Mov1", + "director": []interface{}{map[string]interface{}{"name": "Dir1"}}, + }, + map[string]interface{}{"name": nil}, + }}, + } + + result := params.ExecuteAsPost(t, alphaURL) + common.RequireNoGQLErrors(t, result) + + expected := ` + { + "createMyFavouriteMovies": [ + { + "id": "0x1", + "name": "Mov1", + "director": [ + { + "id": "0x2", + "name": "Dir1" + } + ] + }, + { + "id": "0x3", + "name": null, + "director": [] + } + ] + }` + require.JSONEq(t, expected, string(result.Data)) +} + func TestCustomPatchMutation(t *testing.T) { schema := customTypes + ` input MovieDirectorInput { diff --git a/graphql/resolve/resolver.go b/graphql/resolve/resolver.go index 156804b272f..32464c65622 100644 --- a/graphql/resolve/resolver.go +++ b/graphql/resolve/resolver.go @@ -1793,6 +1793,7 @@ func (hr *httpResolver) rewriteAndExecute(ctx context.Context, field schema.Fiel } body = string(b) } + b, err := makeRequest(hr.Client, hrc.Method, hrc.URL, body, hrc.ForwardHeaders) if err != nil { return emptyResult(externalRequestError(err, field)) diff --git a/graphql/schema/wrappers.go b/graphql/schema/wrappers.go index df382f381f4..a1325d43c00 100644 --- a/graphql/schema/wrappers.go +++ b/graphql/schema/wrappers.go @@ -1841,22 +1841,18 @@ func parseBodyTemplate(body string) (*interface{}, map[string]bool, error) { return &m, requiredFields, nil } -func getVar(key string, variables map[string]interface{}) (interface{}, error) { +func getVar(key string, variables map[string]interface{}) (interface{}, error, bool) { if !strings.HasPrefix(key, "$") { - return nil, errors.Errorf("expected a variable to start with $. Found: %s", key) + return nil, errors.Errorf("expected a variable to start with $. Found: %s", key), true } val, ok := variables[key[1:]] - if !ok { - return nil, errors.Errorf("couldn't find variable: %s in variables map", key) - } - - return val, nil + return val, nil, ok } func substituteSingleVarInBody(key string, valPtr *interface{}, variables map[string]interface{}) error { // Look it up in the map and replace. - val, err := getVar(key, variables) + val, err, _ := getVar(key, variables) if err != nil { return err } @@ -1868,11 +1864,15 @@ func substituteVarInMapInBody(object, variables map[string]interface{}) error { for k, v := range object { switch val := v.(type) { case string: - vval, err := getVar(val, variables) + vval, err, ok := getVar(val, variables) if err != nil { return err } - object[k] = vval + if ok { + object[k] = vval + } else { + delete(object, k) + } case map[string]interface{}: if err := substituteVarInMapInBody(val, variables); err != nil { return err @@ -1892,7 +1892,7 @@ func substituteVarInSliceInBody(slice []interface{}, variables map[string]interf for k, v := range slice { switch val := v.(type) { case string: - vval, err := getVar(val, variables) + vval, err, _ := getVar(val, variables) if err != nil { return err } diff --git a/graphql/schema/wrappers_test.go b/graphql/schema/wrappers_test.go index af6e4ebeb28..bffeb40b707 100644 --- a/graphql/schema/wrappers_test.go +++ b/graphql/schema/wrappers_test.go @@ -424,11 +424,18 @@ func TestSubstituteVarsInBody(t *testing.T) { nil, }, { - "variable not found error", + "Skip one missing variable in the HTTP body", map[string]interface{}{"postID": "0x9"}, map[string]interface{}{"author": "$id", "post": map[string]interface{}{"id": "$postID"}}, + map[string]interface{}{"post": map[string]interface{}{"id": "0x9"}}, + nil, + }, + { + "Skip all missing variables in the HTTP body", + map[string]interface{}{}, + map[string]interface{}{"author": "$id", "post": map[string]interface{}{"id": "$postID"}}, + map[string]interface{}{"post": map[string]interface{}{}}, nil, - errors.New("couldn't find variable: $id in variables map"), }, } From 6ecf91e35fb31621a3532dad5fbf4ad13671e35b Mon Sep 17 00:00:00 2001 From: Arijit Das Date: Wed, 29 Jul 2020 15:14:21 +0530 Subject: [PATCH 029/151] chore: Benchmark Auth queries and compare it with non Auth queries. (#6029) * Benchmark Auth queries and compare it with non Auth queries. Co-authored-by: Pawan Rawal --- graphql/bench/README.md | 58 ++++ graphql/bench/auth_test.go | 555 ++++++++++++++++++++++++++++++ graphql/bench/schema.graphql | 72 ++++ graphql/bench/schema_auth.graphql | 251 ++++++++++++++ graphql/e2e/common/common.go | 6 +- 5 files changed, 939 insertions(+), 3 deletions(-) create mode 100644 graphql/bench/README.md create mode 100644 graphql/bench/auth_test.go create mode 100644 graphql/bench/schema.graphql create mode 100644 graphql/bench/schema_auth.graphql diff --git a/graphql/bench/README.md b/graphql/bench/README.md new file mode 100644 index 00000000000..adf66451425 --- /dev/null +++ b/graphql/bench/README.md @@ -0,0 +1,58 @@ +Compare performance of Auth vs Non-Auth Queries and Mutation. +Queries were benchmarked against pre generated dataset. We had two cases: Single Level Query and Deep Query +For Mutation we benchmarked add, delete and Multi level Mutation. +We also compared the overhead of adding auth rules. +Results and other details are mentioned here + +To regenerate the benchmark results run it once with Non-Auth schema `schema.graphql` +and compare the result by generating the benchmark with Auth schema `schema_auth.graphql`. + +**GraphQL pre and post processing time:**
+```` +Auth: +Benchmark Name | Pre Time | Post Time | Ratio of Processing Time by Actual Time +BenchmarkNestedQuery 144549ns 1410978ns 0.14% +BenchmarkOneLevelMutation 29422440ns 113091520ns 3.31% +BenchmarkMultiLevelMutation 19717340ns 7690352ns 2.24% + +Non-Auth: +Benchmark Name | Pre Time | Post Time | Ratio of Processing Time by Actual Time +BenchmarkNestedQuery 117319ns 716261089ns 26.65% +BenchmarkOneLevelMutation 29643908ns 83077638ns 2.6% +BenchmarkMultiLevelMutation 20579295ns 53566488ns 6.2% +```` +**Summary**: +```` +Query: +Running the Benchmark: +Command: go test -bench=. -benchtime=60s + go test -bench=. -benchtime=60s + goos: linux + goarch: amd64 + pkg: github.com/dgraph-io/dgraph/graphql/e2e/auth/bench +Auth + BenchmarkNestedQuery-8 88 815315761 ns/op + BenchmarkOneLevelQuery-8 4357 15626384 ns/op +Non-Auth + BenchmarkNestedQuery-8 33 2218877846 ns/op + BenchmarkOneLevelQuery-8 4446 16100509 ns/op + + +Mutation: +BenchmarkMutation: 100 owners, each having 100 restaurants +BenchmarkMultiLevelMutation: 20 restaurants, each having 20 cuisines, each cuisine having 20 dishes +BenchmarkOneLevelMutation: 10000 nodes + +Auth: +BenchmarkMutation: 0.380893400s +BenchmarkMultiLevelMutation: 1.392922056s +BenchmarkOneLevelMutation: +Add Time: 9.42224304s +Delete Time: 1.150111483s + +Non-Auth: +BenchmarkMutation: 0.464559706s +BenchmarkMultiLevelMutation: 1.440681796s +BenchmarkOneLevelMutation: +Add Time: 9.549761333s +Delete Time: 1.200276696s \ No newline at end of file diff --git a/graphql/bench/auth_test.go b/graphql/bench/auth_test.go new file mode 100644 index 00000000000..4644c275db9 --- /dev/null +++ b/graphql/bench/auth_test.go @@ -0,0 +1,555 @@ +/* + * Copyright 2020 Dgraph Labs, Inc. and Contributors + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package bench + +import ( + "fmt" + "io/ioutil" + "net/http" + "testing" + "time" + + "github.com/dgraph-io/dgraph/graphql/authorization" + "github.com/dgraph-io/dgraph/graphql/e2e/common" + "github.com/dgraph-io/dgraph/testutil" + "github.com/stretchr/testify/require" +) + +const ( + graphqlURL = "http://localhost:8080/graphql" +) + +func getJWT(b require.TestingT, metaInfo *testutil.AuthMeta) http.Header { + jwtToken, err := metaInfo.GetSignedToken("", 300*time.Second) + require.NoError(b, err) + + h := make(http.Header) + h.Add(metaInfo.Header, jwtToken) + return h +} + +func getAuthMeta(schema string) *testutil.AuthMeta { + authMeta, err := authorization.Parse(schema) + if err != nil { + panic(err) + } + + return &testutil.AuthMeta{ + PublicKey: authMeta.VerificationKey, + Namespace: authMeta.Namespace, + Algo: authMeta.Algo, + Header: authMeta.Header, + } +} + +func clearAll(b require.TestingT, metaInfo *testutil.AuthMeta) { + getParams := &common.GraphQLParams{ + Headers: getJWT(b, metaInfo), + Query: ` + mutation deleteCuisine($type: String) { + deleteCuisine(filter: {type: { eq: $type}}) { + msg + } + } + `, + Variables: map[string]interface{}{"type": "TypeCuisineAuth"}, + } + gqlResponse := getParams.ExecuteAsPost(b, graphqlURL) + require.Nil(b, gqlResponse.Errors) + + getParams = &common.GraphQLParams{ + Headers: getJWT(b, metaInfo), + Query: ` + mutation deleteRestaurant($name: String) { + deleteRestaurant(filter: {name: { anyofterms: $name}}) { + msg + } + } + `, + Variables: map[string]interface{}{"name": "TypeRestaurantAuth"}, + } + gqlResponse = getParams.ExecuteAsPost(b, graphqlURL) + require.Nil(b, gqlResponse.Errors) + + getParams = &common.GraphQLParams{ + Headers: getJWT(b, metaInfo), + Query: ` + mutation deleteDish($type: String) { + deleteDish(filter: {type: { eq: $type}}) { + msg + } + } + `, + Variables: map[string]interface{}{"type": "TypeDishAuth"}, + } + gqlResponse = getParams.ExecuteAsPost(b, graphqlURL) + require.Nil(b, gqlResponse.Errors) + + getParams = &common.GraphQLParams{ + Headers: getJWT(b, metaInfo), + Query: ` + mutation deleteOwner($name: String) { + deleteOwner(filter: {name: { eq: $name}}) { + msg + } + } + `, + Variables: map[string]interface{}{"name": "TypeOwnerAuth"}, + } + gqlResponse = getParams.ExecuteAsPost(b, graphqlURL) + require.Nil(b, gqlResponse.Errors) +} + +// Running the Benchmark: +// Command: go test -bench=. -benchtime=60s +// go test -bench=. -benchtime=60s +// goos: linux +// goarch: amd64 +// pkg: github.com/dgraph-io/dgraph/graphql/e2e/auth/bench +// Auth +// BenchmarkNestedQuery-8 88 815315761 ns/op +// BenchmarkOneLevelQuery-8 4357 15626384 ns/op +// Non-Auth +// BenchmarkNestedQuery-8 33 2218877846 ns/op +// BenchmarkOneLevelQuery-8 4446 16100509 ns/op + +// Auth Extension (BenchmarkNestedQuery) +//"extensions": { +// "touched_uids": 8410962, +// "tracing": { +// "version": 1, +// "startTime": "2020-07-16T23:45:27.798693638+05:30", +// "endTime": "2020-07-16T23:45:28.844749169+05:30", +// "duration": 1046055551, +// "execution": { +// "resolvers": [ +// { +// "path": [ +// "queryCuisine" +// ], +// "parentType": "Query", +// "fieldName": "queryCuisine", +// "returnType": "[Cuisine]", +// "startOffset": 144549, +// "duration": 1045026189, +// "dgraph": [ +// { +// "label": "query", +// "startOffset": 262828, +// "duration": 1044381745 +// } +// ] +// } +// ] +// } +// } +// } + +// Non Auth Extension (BenchmarkNestedQuery) +//"extensions": { +// "touched_uids": 458610, +// "tracing": { +// "version": 1, +// "startTime": "2020-07-16T23:46:48.73641261+05:30", +// "endTime": "2020-07-16T23:46:50.281062742+05:30", +// "duration": 1544650302, +// "execution": { +// "resolvers": [{ +// "path": [ +// "queryCuisine" +// ], +// "parentType": "Query", +// "fieldName": "queryCuisine", +// "returnType": "[Cuisine]", +// "startOffset": 154997, +// "duration": 1118614851, +// "dgraph": [{ +// "label": "query", +// "startOffset": 256126, +// "duration": 823062710 +// }] +// }] +// } +// } +//} + +func BenchmarkNestedQuery(b *testing.B) { + schemaFile := "schema_auth.graphql" + schema, err := ioutil.ReadFile(schemaFile) + require.NoError(b, err) + + metaInfo := getAuthMeta(string(schema)) + metaInfo.AuthVars = map[string]interface{}{ + "Role": "ADMIN", + "Dish": "Dish", + "RName": "Restaurant", + "RCurr": "$", + } + + query := ` + query { + queryCuisine (first: 100) { + id + name + restaurants (first: 100) { + id + name + dishes (first: 100) { + id + name + } + } + } + } + ` + + getUserParams := &common.GraphQLParams{ + Headers: getJWT(b, metaInfo), + Query: query, + } + + for i := 0; i < b.N; i++ { + gqlResponse := getUserParams.ExecuteAsPost(b, graphqlURL) + require.Nilf(b, gqlResponse.Errors, "%+v", gqlResponse.Errors) + } +} + +func BenchmarkOneLevelQuery(b *testing.B) { + schemaFile := "schema_auth.graphql" + schema, err := ioutil.ReadFile(schemaFile) + require.NoError(b, err) + + metaInfo := getAuthMeta(string(schema)) + metaInfo.AuthVars = map[string]interface{}{ + "Role": "ADMIN", + "Dish": "Dish", + "RName": "Restaurant", + "RCurr": "$", + } + + query := ` + query { + queryCuisine (first: 300000) { + id + name + } + } + ` + + getUserParams := &common.GraphQLParams{ + Headers: getJWT(b, metaInfo), + Query: query, + } + + for i := 0; i < b.N; i++ { + gqlResponse := getUserParams.ExecuteAsPost(b, graphqlURL) + require.Nilf(b, gqlResponse.Errors, "%+v", gqlResponse.Errors) + } +} + +type Cuisine struct { + Id string `json:"id,omitempty"` + Name string `json:"name,omitempty"` + Public bool `json:"public,omitempty"` + Type string `json:"type,omitempty"` + Dishes []Dish `json:"dishes,omitempty"` +} + +type Restaurant struct { + Xid string `json:"xid,omitempty"` + Name string `json:"name,omitempty"` + Currency string `json:"currency,omitempty"` + Cuisines []Cuisine `json:"cuisines,omitempty"` +} + +type Dish struct { + Id string `json:"id,omitempty"` + Name string `json:"name,omitempty"` + Type string `json:"type,omitempty"` + Cuisines []Cuisine `json:"cuisines,omitempty"` +} + +type Owner struct { + Username string `json:"username,omitempty"` + Name string `json:"name,omitempty"` + HasRestaurants Restaurants `json:"hasRestaurants,omitempty"` +} + +type Cuisines []Cuisine + +func (c Cuisines) delete(b require.TestingT, metaInfo *testutil.AuthMeta) { + getParams := &common.GraphQLParams{ + Headers: getJWT(b, metaInfo), + Query: ` + mutation deleteCuisine($type: String) { + deleteCuisine(filter: {type: { eq: $type}}) { + msg + } + } + `, + Variables: map[string]interface{}{"type": "TypeCuisineAuth"}, + } + gqlResponse := getParams.ExecuteAsPost(b, graphqlURL) + require.Nil(b, gqlResponse.Errors) +} + +func (c Cuisines) add(b require.TestingT, metaInfo *testutil.AuthMeta) { + getParams := &common.GraphQLParams{ + Headers: getJWT(b, metaInfo), + Query: ` + mutation addCuisine($cuisines: [AddCuisineInput!]!) { + addCuisine(input: $cuisines) { + numUids + } + } + `, + Variables: map[string]interface{}{"cuisines": c}, + } + gqlResponse := getParams.ExecuteAsPost(b, graphqlURL) + require.Nil(b, gqlResponse.Errors) +} + +type Restaurants []Restaurant + +func (r Restaurants) add(b require.TestingT, metaInfo *testutil.AuthMeta) { + getParams := &common.GraphQLParams{ + Headers: getJWT(b, metaInfo), + Query: ` + mutation AddR($restaurants: [AddRestaurantInput!]! ) { + addRestaurant(input: $restaurants) { + numUids + } + } + `, + Variables: map[string]interface{}{"restaurants": r}, + } + gqlResponse := getParams.ExecuteAsPost(b, graphqlURL) + require.Nil(b, gqlResponse.Errors) +} + +func BenchmarkOneLevelMutation(b *testing.B) { + schemaFile := "schema_auth.graphql" + schema, err := ioutil.ReadFile(schemaFile) + require.NoError(b, err) + + metaInfo := getAuthMeta(string(schema)) + metaInfo.AuthVars = map[string]interface{}{ + "Role": "ADMIN", + "Dish": "Dish", + "RName": "Restaurant", + "RCurr": "$", + } + + items := 10000 + var cusines Cuisines + for i := 0; i < items; i++ { + r := Cuisine{ + Name: fmt.Sprintf("Test_Cuisine_%d", i), + Type: "TypeCuisineAuth", + Public: true, + } + cusines = append(cusines, r) + } + mutations := []struct { + name string + operation func(b *testing.B) + }{ + {"add", func(b *testing.B) { + before := time.Now() + cusines.add(b, metaInfo) + fmt.Println("Add Time: ", time.Since(before)) + b.StopTimer() + cusines.delete(b, metaInfo) + }}, + {"delete", func(b *testing.B) { + b.StopTimer() + cusines.add(b, metaInfo) + b.StartTimer() + before := time.Now() + cusines.delete(b, metaInfo) + fmt.Println("Delete Time: ", time.Since(before)) + }}, + } + + for _, mutation := range mutations { + b.Run(mutation.name, func(b *testing.B) { + for i := 0; i < b.N; i++ { + mutation.operation(b) + } + }) + } +} + +func generateMultiLevelMutationData(items int) Restaurants { + var restaurants Restaurants + ci := 1 + di := 1 + ri := 1 + for ; ri <= items; ri++ { + r := Restaurant{ + Xid: fmt.Sprintf("Test_Restaurant_%d", ri), + Name: "TypeRestaurantAuth", + Currency: "$", + } + var cuisines Cuisines + for ; ci%items != 0; ci++ { + c := Cuisine{ + Name: fmt.Sprintf("Test_Cuisine_%d", ci), + Type: "TypeCuisineAuth", + Public: true, + } + var dishes []Dish + for ; di%items != 0; di++ { + d := Dish{ + Name: fmt.Sprintf("Test_Dish_%d", di), + Type: "TypeDishAuth", + } + dishes = append(dishes, d) + } + di++ + c.Dishes = dishes + cuisines = append(cuisines, c) + } + ci++ + r.Cuisines = cuisines + restaurants = append(restaurants, r) + } + return restaurants +} + +func BenchmarkMultiLevelMutation(b *testing.B) { + schemaFile := "schema_auth.graphql" + schema, err := ioutil.ReadFile(schemaFile) + require.NoError(b, err) + + metaInfo := getAuthMeta(string(schema)) + metaInfo.AuthVars = map[string]interface{}{ + "Role": "ADMIN", + "Dish": "Dish", + "RName": "Restaurant", + "RCurr": "$", + } + + restaurants := generateMultiLevelMutationData(20) + var totalTime time.Duration + for i := 0; i < b.N; i++ { + before := time.Now() + restaurants.add(b, metaInfo) + reqTime := time.Since(before) + totalTime += reqTime + if i%10 == 0 { + avgTime := int64(totalTime) / int64(i+1) + fmt.Printf("Avg Time: %d Time: %d \n", avgTime, reqTime) + } + // Stopping the timer as we don't want to include the clean up time in benchmark result. + b.StopTimer() + clearAll(b, metaInfo) + } +} + +// generateOwnerRestaurant generates `items` number of `Owner`. Each `Owner` having +// `items` number of `Restaurant`. +func generateOwnerRestaurant(items int) Owners { + var owners Owners + ri := 1 + oi := 1 + for ; oi < items; oi++ { + var restaurants Restaurants + for ; ri%items != 0; ri++ { + r := Restaurant{ + Xid: fmt.Sprintf("Test_Restaurant_%d", ri), + Name: "TypeRestaurantAuth", + Currency: "$", + } + restaurants = append(restaurants, r) + } + ri++ + o := Owner{ + Username: fmt.Sprintf("Test_User_%d", oi), + Name: "TypeOwnerAuth", + HasRestaurants: restaurants, + } + owners = append(owners, o) + } + return owners +} + +type Owners []Owner + +func (o Owners) add(b *testing.B, metaInfo *testutil.AuthMeta) { + getParams := &common.GraphQLParams{ + Headers: getJWT(b, metaInfo), + Query: ` + mutation addOwner($owners: [AddOwnerInput!]!) { + addOwner(input: $owners) { + numUids + } + } + `, + Variables: map[string]interface{}{"owners": o}, + } + gqlResponse := getParams.ExecuteAsPost(b, graphqlURL) + require.Nil(b, gqlResponse.Errors) +} + +func BenchmarkMutation(b *testing.B) { + schemaFile := "schema_auth.graphql" + schema, err := ioutil.ReadFile(schemaFile) + require.NoError(b, err) + + metaInfo := getAuthMeta(string(schema)) + metaInfo.AuthVars = map[string]interface{}{ + "Role": "ADMIN", + "USERNAME": "$", + } + + owners := generateOwnerRestaurant(100) + owners.add(b, metaInfo) + + query := ` + query { + queryRestaurant (first: 300000) { + id + name + owner { + username + } + } + } + ` + + getUserParams := &common.GraphQLParams{ + Headers: getJWT(b, metaInfo), + Query: query, + } + + var totalTime time.Duration + for i := 0; i < b.N; i++ { + before := time.Now() + gqlResponse := getUserParams.ExecuteAsPost(b, graphqlURL) + require.Nilf(b, gqlResponse.Errors, "%+v", gqlResponse.Errors) + reqTime := time.Since(before) + totalTime += reqTime + if i%10 == 0 { + avgTime := int64(totalTime) / (int64(i + 1)) + fmt.Printf("Avg Time: %d Time: %d \n", avgTime, reqTime) + } + // Stopping the timer as we don't want to include the clean up time in benchmark result. + b.StopTimer() + clearAll(b, metaInfo) + } +} diff --git a/graphql/bench/schema.graphql b/graphql/bench/schema.graphql new file mode 100644 index 00000000000..91ddba4f481 --- /dev/null +++ b/graphql/bench/schema.graphql @@ -0,0 +1,72 @@ +type Country { + cid: ID! + id: String! @id + name: String! @search(by: [term]) + cities: [City] +} + +type City { + cid: ID! + id: String! @id + name: String! @search(by: [term]) + country: Country! @hasInverse(field: cities) + restaurants: [RestaurantAddress] @hasInverse(field: city) +} + +interface Location { + id: ID! + lat: Float! + long: Float! + address: String! + locality: String! + city: City! + zipcode: Int +} + +type RestaurantAddress implements Location { + restaurant: Restaurant! @hasInverse(field: addr) +} + +type Restaurant { + id: ID! + xid: String! @id + name: String! @search(by: [term]) + pic: String + addr: RestaurantAddress + rating: Float + costFor2: Float + currency: String @search(by: [hash]) + cuisines: [Cuisine] + dishes: [Dish] @hasInverse(field: servedBy) + createdAt: DateTime + owner: Owner +} + +type Cuisine { + id: ID! + name: String! @id + restaurants: [Restaurant] @hasInverse(field: cuisines) + dishes: [Dish] @hasInverse(field: cuisine) + type: String! @search(by: [hash]) + public: Boolean @search +} + +type Dish { + id: ID! + name: String! @search(by: [term]) + type: String! @search(by: [hash]) + pic: String + price: Float + description: String + isVeg: Boolean + cuisine: Cuisine + servedBy: Restaurant +} + +type Owner { + username: String! @id + name: String! @search(by: [hash]) + hasRestaurants: [Restaurant] @hasInverse(field: owner) +} + +# Dgraph.Authorization {"VerificationKey":"secretkey","Header":"X-Test-Auth","Namespace":"https://xyz.io/jwt/claims","Algo":"HS256","Audience":["aud1","63do0q16n6ebjgkumu05kkeian","aud5"]} \ No newline at end of file diff --git a/graphql/bench/schema_auth.graphql b/graphql/bench/schema_auth.graphql new file mode 100644 index 00000000000..245bbc5f7dd --- /dev/null +++ b/graphql/bench/schema_auth.graphql @@ -0,0 +1,251 @@ +type Country @auth( + query: + { rule: """ + query($USERNAME: String!) { + queryCountry { + cities { + restaurants { + restaurant { + owner(filter: { + username: { + eq: $USERNAME + } + }) { + username + } + } + } + } + } + } + """ }) { + cid: ID! + id: String! @id + name: String! @search(by: [term]) + cities: [City] +} + +type City @auth( + query: + { rule: """ + query($USERNAME: String!) { + queryCity { + restaurants { + restaurant { + owner(filter: { + username: { + eq: $USERNAME + } + }) { + username + } + } + } + } + } + """ }) { + cid: ID! + id: String! @id + name: String! @search(by: [term]) + country: Country! @hasInverse(field: cities) + restaurants: [RestaurantAddress] @hasInverse(field: city) +} + +interface Location { + id: ID! + lat: Float! + long: Float! + address: String! + locality: String! + city: City! + zipcode: Int +} + +type RestaurantAddress implements Location @auth( + query: { rule: """ + query($USERNAME: String!) { + queryRestaurantAddress { + restaurant { + owner(filter: { + username: { + eq: $USERNAME + } + }) { + username + } + } + } + } + """}) { + restaurant: Restaurant! @hasInverse(field: addr) +} + +type Restaurant @auth( + query: { or: [ + { rule: """ + query($RName: String!) { + queryRestaurant(filter: { name: { anyofterms: $RName } }) { + __typename + } + } + """ }, + { rule: """ + query($RCurr: String!) { + queryRestaurant(filter: { currency: { eq: $RCurr } }) { + __typename + } + } + """ }, + { rule: """ + query($USERNAME: String!) { + queryRestaurant { + owner(filter: {username: { eq: $USERNAME } }) { + username + } + } + }""" }] + }, + add: { rule: """ + query { + queryRestaurant { + cuisines(filter: {public: true}) { + __typename + } + } + } + """ + }, + update: { rule: """ + query { + queryRestaurant { + cuisines(filter: {public: true}) { + __typename + } + } + } + """ + } +) { + id: ID! + xid: String! @id + name: String! @search(by: [term]) + pic: String + addr: RestaurantAddress + rating: Float + costFor2: Float + currency: String @search(by: [hash]) + cuisines: [Cuisine] + dishes: [Dish] @hasInverse(field: servedBy) + createdAt: DateTime + owner: Owner +} + +type Cuisine @auth( + query: { or: [ + { rule: "{$Role: { eq: \"ADMIN\" }}" }, + { or: [ + { rule: """ + query($RCurr: String!) { + queryCuisine { + restaurants(filter: { currency: { eq: $RCurr } }) { + __typename + } + } + } + """ + }, + { rule: """ + query($RName: String!) { + queryCuisine { + restaurants(filter: { name: { anyofterms: $RName } }) { + __typename + } + } + } + """ + }, + { rule: """ + query($USERNAME: String!) { + queryCuisine { + restaurants { + owner(filter: {username: { eq: $USERNAME } }) { + username + } + } + } + }""" } + ]} + ]}, + add: { rule: """ + query { + queryCuisine(filter: {public: true}) { + __typename + } + } + """ + }, + update: { rule: """ + query { + queryCuisine(filter: {public: true}) { + __typename + } + } + """ + } +) { + id: ID! + name: String! @id + restaurants: [Restaurant] @hasInverse(field: cuisines) + dishes: [Dish] @hasInverse(field: cuisine) + type: String! @search(by: [hash]) + public: Boolean @search +} + +type Dish @auth( + query: { or: [ + { rule: """ + query($Dish: String!) { + queryDish(filter: { name: { anyofterms: $Dish } }) { + __typename + } + } + """ }, + { rule: """ + query($USERNAME: String!) { + queryDish { + servedBy { + owner(filter: {username: { eq: $USERNAME } }) { + username + } + } + } + }""" } + ]}, + add: { rule: "{$Role: { eq: \"ADMIN\" }}"}, + update: { rule: "{$Role: { eq: \"ADMIN\" }}"}, +){ + id: ID! + name: String! @search(by: [term]) + type: String! @search(by: [hash]) + pic: String + price: Float + description: String + isVeg: Boolean + cuisine: Cuisine + servedBy: Restaurant +} + +type Owner @auth( + query: + { rule: """ + query($USERNAME: String!) { + queryOwner(filter: {username: { eq: $USERNAME } }) { + username + } + }""" }) { + username: String! @id + name: String! @search(by: [hash]) + hasRestaurants: [Restaurant] @hasInverse(field: owner) +} + +# Dgraph.Authorization {"VerificationKey":"secretkey","Header":"X-Test-Auth","Namespace":"https://xyz.io/jwt/claims","Algo":"HS256","Audience":["aud1","63do0q16n6ebjgkumu05kkeian","aud5"]} \ No newline at end of file diff --git a/graphql/e2e/common/common.go b/graphql/e2e/common/common.go index a9ee1e79261..7ba8fff58a5 100644 --- a/graphql/e2e/common/common.go +++ b/graphql/e2e/common/common.go @@ -435,7 +435,7 @@ func getQueryEmptyVariable(t *testing.T) { // Execute takes a HTTP request from either ExecuteAsPost or ExecuteAsGet // and executes the request -func (params *GraphQLParams) Execute(t *testing.T, req *http.Request) *GraphQLResponse { +func (params *GraphQLParams) Execute(t require.TestingT, req *http.Request) *GraphQLResponse { for h := range params.Headers { req.Header.Set(h, params.Headers.Get(h)) } @@ -456,7 +456,7 @@ func (params *GraphQLParams) Execute(t *testing.T, req *http.Request) *GraphQLRe // ExecuteAsPost builds a HTTP POST request from the GraphQL input structure // and executes the request to url. -func (params *GraphQLParams) ExecuteAsPost(t *testing.T, url string) *GraphQLResponse { +func (params *GraphQLParams) ExecuteAsPost(t require.TestingT, url string) *GraphQLResponse { req, err := params.createGQLPost(url) require.NoError(t, err) @@ -553,7 +553,7 @@ func (params *GraphQLParams) createApplicationGQLPost(url string) (*http.Request // runGQLRequest runs a HTTP GraphQL request and returns the data or any errors. func runGQLRequest(req *http.Request) ([]byte, error) { - client := &http.Client{Timeout: 10 * time.Second} + client := &http.Client{Timeout: 30 * time.Second} resp, err := client.Do(req) if err != nil { return nil, err From 386665f95ab538cd6c5aab4516c0cb63e4a1e04c Mon Sep 17 00:00:00 2001 From: ahsanbarkati Date: Thu, 30 Jul 2020 11:34:20 +0530 Subject: [PATCH 030/151] fix(dgraph): Fix empty string response for zero datetime (#6067) This PR fixes the empty string response for a zero-datetime value. The "0001-01-01T00:00:00Z" datetime is considered to be a zero value. Before we used to allow empty string for datetime mutation and internally stored empty string as zero datetime so we returned empty string for it but now empty string mutation is not allowed. So, we should return "0001-01-01T00:00:00Z" instead of empty string if the mutation contains "0001-01-01T00:00:00Z". --- query/outputnode.go | 9 ++------- systest/mutations_test.go | 35 +++++++++++++++++++++++++++++++++++ 2 files changed, 37 insertions(+), 7 deletions(-) diff --git a/query/outputnode.go b/query/outputnode.go index 143fe0b2221..000608e3f32 100644 --- a/query/outputnode.go +++ b/query/outputnode.go @@ -331,9 +331,8 @@ func (enc *encoder) IsEmpty(fj fastJsonNode) bool { } var ( - boolTrue = []byte("true") - boolFalse = []byte("false") - emptyString = []byte(`""`) + boolTrue = []byte("true") + boolFalse = []byte("false") // Below variables are used in stringJsonMarshal function. bufferPool = sync.Pool{ @@ -465,11 +464,7 @@ func valToBytes(v types.Val) ([]byte, error) { } return boolFalse, nil case types.DateTimeID: - // Return empty string instead of zero-time value string - issue#3166 t := v.Value.(time.Time) - if t.IsZero() { - return emptyString, nil - } return t.MarshalJSON() case types.GeoID: return geojson.Marshal(v.Value.(geom.T)) diff --git a/systest/mutations_test.go b/systest/mutations_test.go index 4e25ab3e4d4..8909989e454 100644 --- a/systest/mutations_test.go +++ b/systest/mutations_test.go @@ -102,6 +102,7 @@ func TestSystem(t *testing.T) { t.Run("overwrite uid predicates", wrap(OverwriteUidPredicates)) t.Run("overwrite uid predicates reverse index", wrap(OverwriteUidPredicatesReverse)) t.Run("delete and query same txn", wrap(DeleteAndQuerySameTxn)) + t.Run("add and query zero datetime value", wrap(AddAndQueryZeroTimeValue)) } func FacetJsonInputSupportsAnyOfTerms(t *testing.T, c *dgo.Dgraph) { @@ -2395,3 +2396,37 @@ func DeleteAndQuerySameTxn(t *testing.T, c *dgo.Dgraph) { testutil.CompareJSON(t, `{"me":[{"name":"Alice"}]}`, string(resp.GetJson())) } + +func AddAndQueryZeroTimeValue(t *testing.T, c *dgo.Dgraph) { + ctx := context.Background() + + op := &api.Operation{Schema: `val: datetime .`} + require.NoError(t, c.Alter(ctx, op)) + + txn := c.NewTxn() + _, err := txn.Mutate(ctx, &api.Mutation{ + SetNquads: []byte(` + _:value "0000-01-01T00:00:00Z" . + `), + }) + require.NoError(t, err) + require.NoError(t, txn.Commit(ctx)) + + const datetimeQuery = ` + { + q(func: has(val)) { + val + } + }` + + txn = c.NewTxn() + resp, err := txn.Query(ctx, datetimeQuery) + require.NoError(t, err) + testutil.CompareJSON(t, `{ + "q": [ + { + "val": "0000-01-01T00:00:00Z" + } + ] + }`, string(resp.Json)) +} From 9fb934a1d9a5fa68c08012781885ca8b1d73050e Mon Sep 17 00:00:00 2001 From: Rahul Gurnani Date: Thu, 30 Jul 2020 13:23:05 +0530 Subject: [PATCH 031/151] fix(dgraph): Dgraph version picked from git tags on master (#5956) * Pick latest tag among all tags * Use a constant version number v99 with commit id on master * Address review comments Change dgraph version at master to 20.11 * Add comments * Prefix git commit with g --- dgraph/Makefile | 14 +++++++++++--- query/query.go | 2 +- 2 files changed, 12 insertions(+), 4 deletions(-) diff --git a/dgraph/Makefile b/dgraph/Makefile index 7721e3870af..63df45ed762 100644 --- a/dgraph/Makefile +++ b/dgraph/Makefile @@ -19,10 +19,18 @@ BUILD ?= $(shell git rev-parse --short HEAD) BUILD_CODENAME = unnamed BUILD_DATE ?= $(shell git log -1 --format=%ci) BUILD_BRANCH ?= $(shell git rev-parse --abbrev-ref HEAD) -BUILD_VERSION ?= $(shell git describe --always --tags) -BUILD_TAGS ?= -GOPATH ?= $(shell go env GOPATH) +# Use the next build version on master branch +# NOTE: this needs to be updated with each new release +ifeq ($(BUILD_BRANCH),master) +# Version on master is of the format -g +BUILD_VERSION ?= 'v20.11.0-g'$(BUILD) +else +BUILD_VERSION ?= $(shell git describe --always --tags) +endif + +BUILD_TAGS ?= +GOPATH ?= $(shell go env GOPATH) MODIFIED = $(shell git diff-index --quiet HEAD || echo "-mod") export GO111MODULE := on diff --git a/query/query.go b/query/query.go index 81d52375a2d..82489eb4342 100644 --- a/query/query.go +++ b/query/query.go @@ -2639,7 +2639,7 @@ func (req *Request) ProcessQuery(ctx context.Context) (err error) { stop := x.SpanTimer(span, "query.ProcessQuery") defer stop() - // doneVars stores the processed variables. + // Vars stores the processed variables. req.Vars = make(map[string]varValue) loopStart := time.Now() queries := req.GqlQuery.Query From 8661bcc109f689db37947078b379988acc3b489d Mon Sep 17 00:00:00 2001 From: Joaquin Menchaca Date: Thu, 30 Jul 2020 10:03:51 -0700 Subject: [PATCH 032/151] fix to contrib prometheus where labelselector matching invalid dgraph svc port names (#6116) --- contrib/config/monitoring/prometheus/prometheus.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/contrib/config/monitoring/prometheus/prometheus.yaml b/contrib/config/monitoring/prometheus/prometheus.yaml index 46381eaa406..36a9e5e35f2 100644 --- a/contrib/config/monitoring/prometheus/prometheus.yaml +++ b/contrib/config/monitoring/prometheus/prometheus.yaml @@ -53,7 +53,7 @@ spec: matchLabels: monitor: alpha-dgraph-io endpoints: - - port: alpha-http + - port: http-alpha path: /debug/prometheus_metrics --- apiVersion: monitoring.coreos.com/v1 @@ -70,7 +70,7 @@ spec: matchLabels: monitor: zero.dgraph-io endpoints: - - port: zero-http + - port: http-zero path: /debug/prometheus_metrics --- apiVersion: monitoring.coreos.com/v1 From 117ac3c477535ca31684dfe821eb82824f69749e Mon Sep 17 00:00:00 2001 From: Abhimanyu Singh Gaur <12651351+abhimanyusinghgaur@users.noreply.github.com> Date: Thu, 30 Jul 2020 22:46:20 +0530 Subject: [PATCH 033/151] feat(GraphQL): Custom logic now supports DQL queries (#6115) Fixes GraphQL-600. This PR adds DQL query (previously known as GraphQL+-) support in GraphQL through the `@custom` directive. --- graphql/e2e/custom_logic/custom_logic_test.go | 169 ++++++++++++++++++ graphql/resolve/query.go | 57 +++++- graphql/resolve/resolver.go | 7 + graphql/schema/gqlschema.go | 3 +- graphql/schema/gqlschema_test.yml | 131 +++++++++++++- graphql/schema/rules.go | 62 ++++++- .../schemagen/output/authorization.graphql | 2 +- .../output/comments-and-descriptions.graphql | 2 +- .../schemagen/output/custom-mutation.graphql | 2 +- .../output/custom-nested-types.graphql | 2 +- .../output/custom-query-mixed-types.graphql | 2 +- .../custom-query-not-dgraph-type.graphql | 2 +- .../custom-query-with-dgraph-type.graphql | 2 +- .../schemagen/output/deprecated.graphql | 2 +- ...e-on-concrete-type-with-interfaces.graphql | 2 +- ...-reverse-directive-with-interfaces.graphql | 2 +- .../output/field-with-id-directive.graphql | 2 +- ...erse-predicate-in-dgraph-directive.graphql | 2 +- ...se-with-interface-having-directive.graphql | 2 +- .../output/hasInverse-with-interface.graphql | 2 +- ...Inverse-with-type-having-directive.graphql | 2 +- .../schemagen/output/hasInverse.graphql | 2 +- .../hasInverse_withSubscription.graphql | 2 +- .../ignore-unsupported-directive.graphql | 2 +- .../output/interface-with-dgraph-pred.graphql | 2 +- .../interface-with-id-directive.graphql | 2 +- .../output/interface-with-no-ids.graphql | 2 +- ...interfaces-with-types-and-password.graphql | 2 +- .../output/interfaces-with-types.graphql | 2 +- .../no-id-field-with-searchables.graphql | 2 +- .../schemagen/output/no-id-field.graphql | 2 +- .../schemagen/output/password-type.graphql | 2 +- .../output/searchables-references.graphql | 2 +- .../schemagen/output/searchables.graphql | 2 +- .../output/single-type-with-enum.graphql | 2 +- .../schemagen/output/single-type.graphql | 2 +- ...ype-implements-multiple-interfaces.graphql | 2 +- .../schemagen/output/type-reference.graphql | 2 +- .../type-with-arguments-on-field.graphql | 2 +- ...e-with-custom-field-on-dgraph-type.graphql | 2 +- ...-with-custom-fields-on-remote-type.graphql | 2 +- graphql/schema/wrappers.go | 31 +++- 42 files changed, 479 insertions(+), 51 deletions(-) diff --git a/graphql/e2e/custom_logic/custom_logic_test.go b/graphql/e2e/custom_logic/custom_logic_test.go index 08881031415..7ef0df114fc 100644 --- a/graphql/e2e/custom_logic/custom_logic_test.go +++ b/graphql/e2e/custom_logic/custom_logic_test.go @@ -34,6 +34,7 @@ import ( ) const ( + alphaGrpc = "localhost:9180" alphaURL = "http://localhost:8180/graphql" alphaAdminURL = "http://localhost:8180/admin" subscriptionEndpoint = "ws://localhost:8180/graphql" @@ -2627,3 +2628,171 @@ func TestRestCustomLogicInDeepNestedField(t *testing.T) { ] }`, string(result.Data)) } + +func TestCustomDQL(t *testing.T) { + dg, err := testutil.DgraphClient(alphaGrpc) + require.NoError(t, err) + testutil.DropAll(t, dg) + + schema := ` + type Tweets { + id: ID! + text: String! @search(by: [fulltext]) + user: User + timestamp: DateTime! @search + } + type User { + screen_name: String! @id + followers: Int @search + tweets: [Tweets] @hasInverse(field: user) + } + type UserTweetCount @remote { + screen_name: String + tweetCount: Int + } + + type Query { + getFirstUserByFollowerCount(count: Int!): User @custom(dql: """ + query getFirstUserByFollowerCount($count: int) { + getFirstUserByFollowerCount(func: eq(User.followers, $count), first: 1) { + screen_name: User.screen_name + followers: User.followers + } + } + """) + + dqlTweetsByAuthorFollowers: [Tweets] @custom(dql: """ + query { + var(func: type(Tweets)) @filter(anyoftext(Tweets.text, "DQL")) { + Tweets.user { + followers as User.followers + } + userFollowerCount as sum(val(followers)) + } + dqlTweetsByAuthorFollowers(func: uid(userFollowerCount), orderdesc: val(userFollowerCount)) { + id: uid + text: Tweets.text + timestamp: Tweets.timestamp + } + } + """) + + filteredTweetsByAuthorFollowers(search: String!): [Tweets] @custom(dql: """ + query t($search: string) { + var(func: type(Tweets)) @filter(anyoftext(Tweets.text, $search)) { + Tweets.user { + followers as User.followers + } + userFollowerCount as sum(val(followers)) + } + filteredTweetsByAuthorFollowers(func: uid(userFollowerCount), orderdesc: val(userFollowerCount)) { + id: uid + text: Tweets.text + timestamp: Tweets.timestamp + } + } + """) + + queryUserTweetCounts: [UserTweetCount] @custom(dql: """ + query { + queryUserTweetCounts(func: type(User)) { + screen_name: User.screen_name + tweetCount: count(User.tweets) + } + } + """) + } + ` + updateSchemaRequireNoGQLErrors(t, schema) + time.Sleep(2 * time.Second) + + params := &common.GraphQLParams{ + Query: ` + mutation { + addTweets(input: [ + { + text: "Hello DQL!" + user: { + screen_name: "abhimanyu" + followers: 5 + } + timestamp: "2020-07-29" + } + { + text: "Woah DQL works!" + user: { + screen_name: "pawan" + followers: 10 + } + timestamp: "2020-07-29" + } + { + text: "hmm, It worked." + user: { + screen_name: "abhimanyu" + followers: 5 + } + timestamp: "2020-07-30" + } + ]) { + numUids + } + }`, + } + + result := params.ExecuteAsPost(t, alphaURL) + common.RequireNoGQLErrors(t, result) + + params = &common.GraphQLParams{ + Query: ` + query { + getFirstUserByFollowerCount(count: 10) { + screen_name + followers + } + dqlTweetsByAuthorFollowers { + text + } + filteredTweetsByAuthorFollowers(search: "hello") { + text + } + queryUserTweetCounts { + screen_name + tweetCount + } + }`, + } + + result = params.ExecuteAsPost(t, alphaURL) + common.RequireNoGQLErrors(t, result) + + require.JSONEq(t, `{ + "getFirstUserByFollowerCount": { + "screen_name": "pawan", + "followers": 10 + }, + "dqlTweetsByAuthorFollowers": [ + { + "text": "Woah DQL works!" + }, + { + "text": "Hello DQL!" + } + ], + "filteredTweetsByAuthorFollowers": [ + { + "text": "Hello DQL!" + } + ], + "queryUserTweetCounts": [ + { + "screen_name": "abhimanyu", + "tweetCount": 2 + }, + { + "screen_name": "pawan", + "tweetCount": 1 + } + ] + }`, string(result.Data)) +} diff --git a/graphql/resolve/query.go b/graphql/resolve/query.go index 39b89cc3578..251d5dc69c4 100644 --- a/graphql/resolve/query.go +++ b/graphql/resolve/query.go @@ -19,6 +19,8 @@ package resolve import ( "context" "encoding/json" + "errors" + "strconv" "github.com/golang/glog" otrace "go.opencensus.io/trace" @@ -30,6 +32,8 @@ import ( "github.com/dgraph-io/dgraph/x" ) +var errNotScalar = errors.New("provided value is not a scalar, can't convert it to string") + // A QueryResolver can resolve a single query. type QueryResolver interface { Resolve(ctx context.Context, query schema.Query) *Resolved @@ -111,16 +115,36 @@ func (qr *queryResolver) rewriteAndExecute(ctx context.Context, query schema.Que } } - dgQuery, err := qr.queryRewriter.Rewrite(ctx, query) - if err != nil { - return emptyResult(schema.GQLWrapf(err, "couldn't rewrite query %s", - query.ResponseName())) + var qry string + vars := make(map[string]string) + + // DQL queries don't need any rewriting, as they are already in DQL form + if query.QueryType() == schema.DQLQuery { + qry = query.DQLQuery() + args := query.Arguments() + for k, v := range args { + // dgoapi.Request{}.Vars accepts only string values for variables, + // so need to convert all variable values to string + vStr, err := convertScalarToString(v) + if err != nil { + return emptyResult(schema.GQLWrapf(err, "couldn't convert argument %s to string", + k)) + } + // the keys in dgoapi.Request{}.Vars are assumed to be prefixed with $ + vars["$"+k] = vStr + } + } else { + dgQuery, err := qr.queryRewriter.Rewrite(ctx, query) + if err != nil { + return emptyResult(schema.GQLWrapf(err, "couldn't rewrite query %s", + query.ResponseName())) + } + qry = dgraph.AsString(dgQuery) } queryTimer := newtimer(ctx, &dgraphQueryDuration.OffsetDuration) queryTimer.Start() - resp, err := qr.executor.Execute(ctx, &dgoapi.Request{Query: dgraph.AsString(dgQuery), - ReadOnly: true}) + resp, err := qr.executor.Execute(ctx, &dgoapi.Request{Query: qry, Vars: vars, ReadOnly: true}) queryTimer.Stop() if err != nil { @@ -150,3 +174,24 @@ func resolveIntrospection(ctx context.Context, q schema.Query) *Resolved { Err: schema.AppendGQLErrs(err, err2), } } + +// converts scalar values received from GraphQL arguments to go string +// If it is a scalar only possible cases are: string, bool, int64, float64 and nil. +func convertScalarToString(val interface{}) (string, error) { + var str string + switch v := val.(type) { + case string: + str = v + case bool: + str = strconv.FormatBool(v) + case int64: + str = strconv.FormatInt(v, 10) + case float64: + str = strconv.FormatFloat(v, 'f', -1, 64) + case nil: + str = "" + default: + return "", errNotScalar + } + return str, nil +} diff --git a/graphql/resolve/resolver.go b/graphql/resolve/resolver.go index 32464c65622..e9cfb1d26e2 100644 --- a/graphql/resolve/resolver.go +++ b/graphql/resolve/resolver.go @@ -264,6 +264,13 @@ func (rf *resolverFactory) WithConventionResolvers( }) } + for _, q := range s.Queries(schema.DQLQuery) { + rf.WithQueryResolver(q, func(q schema.Query) QueryResolver { + // DQL queries don't need any QueryRewriter + return NewQueryResolver(nil, fns.Ex, StdQueryCompletion()) + }) + } + for _, m := range s.Mutations(schema.AddMutation) { rf.WithMutationResolver(m, func(m schema.Mutation) MutationResolver { return NewDgraphResolver(fns.Arw(), fns.Ex, StdMutationCompletion(m.Name())) diff --git a/graphql/schema/gqlschema.go b/graphql/schema/gqlschema.go index 48790002775..96817e8cad2 100644 --- a/graphql/schema/gqlschema.go +++ b/graphql/schema/gqlschema.go @@ -46,6 +46,7 @@ const ( SubscriptionDirective = "withSubscription" // custom directive args and fields + dqlArg = "dql" mode = "mode" BATCH = "BATCH" SINGLE = "SINGLE" @@ -121,7 +122,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/gqlschema_test.yml b/graphql/schema/gqlschema_test.yml index 10f4faaa451..300e9f4d529 100644 --- a/graphql/schema/gqlschema_test.yml +++ b/graphql/schema/gqlschema_test.yml @@ -854,12 +854,12 @@ invalid_schemas: getAuthor1(id: ID): Author! @custom(http: {url: "blah.com", method: "GET"}, extra: "random") } errlist: [ - {"message": "Type Query; Field getAuthor1: has 2 arguments for @custom directive, it should contain exactly 1 argument.", + {"message": "Type Query; Field getAuthor1: has 2 arguments for @custom directive, it should contain exactly one of `http` or `dql` arguments.", "locations":[{"line":7, "column":32}]}, {"message" : "Type Query; Field getAuthor1; url field inside @custom directive is invalid.", "locations" : [{"line":7, "column":52}]} ] - - name: "@custom directive without http argument" + - name: "@custom directive without http or dql argument" input: | type Author { id: ID! @@ -870,10 +870,102 @@ invalid_schemas: getAuthor1(id: ID): Author! @custom(https: {url: "blah.com", method: "GET"}) } errlist: [ - {"message": "Type Query; Field getAuthor1: http argument for @custom directive should not be empty.", + {"message": "Type Query; Field getAuthor1: one of `http` or `dql` arguments must be present for @custom directive.", "locations":[{"line":7, "column":32}]}, ] + - name: "@custom directive with both http and dql argument" + input: | + type Author { + id: ID! + name: String + } + + type Query { + getAuthor1(id: ID): Author! @custom(http: {url: "blah.com", method: "GET"}, + dql: "{me(func: uid(0x1))}") + } + errlist: [ + {"message": "Type Query; Field getAuthor1: has 2 arguments for @custom directive, it should contain exactly one of `http` or `dql` arguments.", + "locations":[{"line":7, "column":32}]}, + ] + + - + name: "@custom directive with dql on field" + input: | + type Author { + id: ID! + age: Int! + name: String! @custom(dql: """ + query { + me(func: uid(0x1)) { + uid + } + } + """) + } + errlist: [ + {"message": "Type Author; Field name: @custom directive with `dql` can be used only on + queries.", + "locations": [{"line": 4,"column": 25}]} + ] + + - + name: "@custom directive with dql on mutation" + input: | + type Mutation { + customMutation: String! @custom(dql: """ + query { + me(func: uid(0x1)) { + uid + } + } + """) + } + errlist: [ + {"message": "Type Mutation; Field customMutation: @custom directive with `dql` can be used only on queries.", + "locations": [{"line": 2,"column": 35}]} + ] + + - + name: "@custom directive with invalid dql argument type" + input: | + type Query { + query1: String! @custom(dql: 5) + } + errlist: [ + {"message": "Type Query; Field query1: dql argument for @custom directive must be of type String.", + "locations": [{"line": 2,"column": 27}]} + ] + + - + name: "@custom directive with empty dql argument value" + input: | + type Query { + query1: String! @custom(dql: " ") + } + errlist: [ + {"message": "Type Query; Field query1: dql argument for @custom directive must not be empty.", + "locations": [{"line": 2,"column": 27}]} + ] + + - + name: "@custom directive with dql having non scalar argument for query" + input: | + type Query { + query1(arg1: [String]): String! @custom(dql: """ + query { + me(func: uid(0x1)) { + uid + } + } + """) + } + errlist: [ + {"message": "Type Query; Field query1: Argument arg1: must be of a scalar type. @custom DQL queries accept only scalar arguments.", + "locations": [{"line": 2,"column": 43}]} + ] + - name: "@custom directive with wrong url" input: | @@ -2622,6 +2714,39 @@ valid_schemas: }) } + - + name: "@custom directive with correct dql" + input: | + type Tweets { + id: ID! + text: String! @search(by: [fulltext]) + user: User + timestamp: DateTime! @search + } + type User { + screen_name: String! @id + name: String + followers: Int @search + tweets: [Tweets] @hasInverse(field: user) + } + type Query { + tweetsByAuthorFollowers(search: String!): [Tweets] @custom(dql: """ + query t($search: string) { + var(func: type(Tweets)) @filter(anyoftext(Tweets.text, $search)) { + Tweets.user { + followers as User.followers + } + userFollowerCount as sum(val(followers)) + } + tweetsByAuthorFollowers(func: uid(userFollowerCount), orderdesc: val(userFollowerCount)) { + id: uid + text: Tweets.text + timestamp: Tweets.timestamp + } + } + """) + } + - name: "remote type can use other types which are dgraph types" input: | diff --git a/graphql/schema/rules.go b/graphql/schema/rules.go index 08cceba717a..7ff9273bb85 100644 --- a/graphql/schema/rules.go +++ b/graphql/schema/rules.go @@ -1185,13 +1185,67 @@ func customDirectiveValidation(sch *ast.Schema, errs = append(errs, gqlerror.ErrorPosf( dir.Position, "Type %s; Field %s: has %d arguments for @custom directive, "+ - "it should contain exactly 1 argument.", + "it should contain exactly one of `http` or `dql` arguments.", typ.Name, field.Name, l)) } - // 3. Validating http argument httpArg := dir.Arguments.ForName("http") - if httpArg == nil || httpArg.Value.String() == "" { + dqlArg := dir.Arguments.ForName(dqlArg) + + if httpArg == nil && dqlArg == nil { + errs = append(errs, gqlerror.ErrorPosf( + dir.Position, + "Type %s; Field %s: one of `http` or `dql` arguments must be present for @custom"+ + " directive.", + typ.Name, field.Name)) + return errs + } + + // 3.1 Validating dql argument + if dqlArg != nil { + if typ.Name != "Query" { + errs = append(errs, gqlerror.ErrorPosf( + dqlArg.Position, + "Type %s; Field %s: @custom directive with `dql` can be used only on queries.", + typ.Name, field.Name)) + } + if dqlArg.Value.Kind != ast.StringValue && dqlArg.Value.Kind != ast.BlockValue { + errs = append(errs, gqlerror.ErrorPosf( + dqlArg.Position, + "Type %s; Field %s: dql argument for @custom directive must be of type String.", + typ.Name, field.Name)) + } + if strings.TrimSpace(dqlArg.Value.Raw) == "" { + errs = append(errs, gqlerror.ErrorPosf( + dqlArg.Position, + "Type %s; Field %s: dql argument for @custom directive must not be empty.", + typ.Name, field.Name)) + } + // TODO: parse the DQL request here and validate it for errors. Not doing it now because the + // gql.Parse() method requires the variables to be present with the query, which can't be + // there at schema input time. Also check for following special conditions: + // * same query name as GraphQL + // * correct return type mapping + // * correct field aliases + // * correct argument names in comparison to GraphQL args, their types + for _, arg := range field.Arguments { + if arg.Type.NamedType == "" || !isScalar(arg.Type.Name()) { + errs = append(errs, gqlerror.ErrorPosf( + dqlArg.Position, + "Type %s; Field %s: Argument %s: must be of a scalar type. "+ + "@custom DQL queries accept only scalar arguments.", + typ.Name, field.Name, arg.Name)) + } + } + + // if there was dql, always return no matter we found errors or not, + // as rest of the validation is for http arg, and http won't be present together with dql + return errs + } + + // 3.2 Validating http argument + // if we reach here, it means that httpArg != nil + if httpArg.Value.String() == "" { errs = append(errs, gqlerror.ErrorPosf( dir.Position, "Type %s; Field %s: http argument for @custom directive should not be empty.", @@ -1201,7 +1255,7 @@ func customDirectiveValidation(sch *ast.Schema, if httpArg.Value.Kind != ast.ObjectValue { errs = append(errs, gqlerror.ErrorPosf( httpArg.Position, - "Type %s; Field %s: http argument for @custom directive ff type Object.", + "Type %s; Field %s: http argument for @custom directive should be of type Object.", typ.Name, field.Name)) } diff --git a/graphql/schema/testdata/schemagen/output/authorization.graphql b/graphql/schema/testdata/schemagen/output/authorization.graphql index 69939418ccd..5f941bbefbc 100644 --- a/graphql/schema/testdata/schemagen/output/authorization.graphql +++ b/graphql/schema/testdata/schemagen/output/authorization.graphql @@ -83,7 +83,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/comments-and-descriptions.graphql b/graphql/schema/testdata/schemagen/output/comments-and-descriptions.graphql index 83624dc4a6b..4a9e3243501 100755 --- a/graphql/schema/testdata/schemagen/output/comments-and-descriptions.graphql +++ b/graphql/schema/testdata/schemagen/output/comments-and-descriptions.graphql @@ -88,7 +88,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/custom-mutation.graphql b/graphql/schema/testdata/schemagen/output/custom-mutation.graphql index dd03fcc17eb..b5249a277d6 100644 --- a/graphql/schema/testdata/schemagen/output/custom-mutation.graphql +++ b/graphql/schema/testdata/schemagen/output/custom-mutation.graphql @@ -76,7 +76,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/custom-nested-types.graphql b/graphql/schema/testdata/schemagen/output/custom-nested-types.graphql index 8fc1a2ae8f7..6c0b0e44b8e 100755 --- a/graphql/schema/testdata/schemagen/output/custom-nested-types.graphql +++ b/graphql/schema/testdata/schemagen/output/custom-nested-types.graphql @@ -93,7 +93,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/custom-query-mixed-types.graphql b/graphql/schema/testdata/schemagen/output/custom-query-mixed-types.graphql index 8ed1dbe3052..d784ac84eb6 100644 --- a/graphql/schema/testdata/schemagen/output/custom-query-mixed-types.graphql +++ b/graphql/schema/testdata/schemagen/output/custom-query-mixed-types.graphql @@ -77,7 +77,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/custom-query-not-dgraph-type.graphql b/graphql/schema/testdata/schemagen/output/custom-query-not-dgraph-type.graphql index ea2d63f4f3c..ec26de408d5 100755 --- a/graphql/schema/testdata/schemagen/output/custom-query-not-dgraph-type.graphql +++ b/graphql/schema/testdata/schemagen/output/custom-query-not-dgraph-type.graphql @@ -76,7 +76,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/custom-query-with-dgraph-type.graphql b/graphql/schema/testdata/schemagen/output/custom-query-with-dgraph-type.graphql index 81a13f4a00d..0e49ab0a1ef 100755 --- a/graphql/schema/testdata/schemagen/output/custom-query-with-dgraph-type.graphql +++ b/graphql/schema/testdata/schemagen/output/custom-query-with-dgraph-type.graphql @@ -72,7 +72,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/deprecated.graphql b/graphql/schema/testdata/schemagen/output/deprecated.graphql index f5d9d047c84..294b1d44ee4 100755 --- a/graphql/schema/testdata/schemagen/output/deprecated.graphql +++ b/graphql/schema/testdata/schemagen/output/deprecated.graphql @@ -72,7 +72,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/dgraph-reverse-directive-on-concrete-type-with-interfaces.graphql b/graphql/schema/testdata/schemagen/output/dgraph-reverse-directive-on-concrete-type-with-interfaces.graphql index a27c9b2b9ab..2ee483afb16 100755 --- a/graphql/schema/testdata/schemagen/output/dgraph-reverse-directive-on-concrete-type-with-interfaces.graphql +++ b/graphql/schema/testdata/schemagen/output/dgraph-reverse-directive-on-concrete-type-with-interfaces.graphql @@ -86,7 +86,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/dgraph-reverse-directive-with-interfaces.graphql b/graphql/schema/testdata/schemagen/output/dgraph-reverse-directive-with-interfaces.graphql index 7d00346909a..dba325dba82 100755 --- a/graphql/schema/testdata/schemagen/output/dgraph-reverse-directive-with-interfaces.graphql +++ b/graphql/schema/testdata/schemagen/output/dgraph-reverse-directive-with-interfaces.graphql @@ -86,7 +86,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/field-with-id-directive.graphql b/graphql/schema/testdata/schemagen/output/field-with-id-directive.graphql index ec9f4131ba4..5f96f731c09 100755 --- a/graphql/schema/testdata/schemagen/output/field-with-id-directive.graphql +++ b/graphql/schema/testdata/schemagen/output/field-with-id-directive.graphql @@ -85,7 +85,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/field-with-reverse-predicate-in-dgraph-directive.graphql b/graphql/schema/testdata/schemagen/output/field-with-reverse-predicate-in-dgraph-directive.graphql index 8170adc7bf9..09e202e60b8 100755 --- a/graphql/schema/testdata/schemagen/output/field-with-reverse-predicate-in-dgraph-directive.graphql +++ b/graphql/schema/testdata/schemagen/output/field-with-reverse-predicate-in-dgraph-directive.graphql @@ -79,7 +79,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/hasInverse-with-interface-having-directive.graphql b/graphql/schema/testdata/schemagen/output/hasInverse-with-interface-having-directive.graphql index 3af0aa053b2..11668bcbed2 100755 --- a/graphql/schema/testdata/schemagen/output/hasInverse-with-interface-having-directive.graphql +++ b/graphql/schema/testdata/schemagen/output/hasInverse-with-interface-having-directive.graphql @@ -96,7 +96,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/hasInverse-with-interface.graphql b/graphql/schema/testdata/schemagen/output/hasInverse-with-interface.graphql index 9cd0c4e33a4..a9881d58e75 100755 --- a/graphql/schema/testdata/schemagen/output/hasInverse-with-interface.graphql +++ b/graphql/schema/testdata/schemagen/output/hasInverse-with-interface.graphql @@ -97,7 +97,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/hasInverse-with-type-having-directive.graphql b/graphql/schema/testdata/schemagen/output/hasInverse-with-type-having-directive.graphql index 3af0aa053b2..11668bcbed2 100755 --- a/graphql/schema/testdata/schemagen/output/hasInverse-with-type-having-directive.graphql +++ b/graphql/schema/testdata/schemagen/output/hasInverse-with-type-having-directive.graphql @@ -96,7 +96,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/hasInverse.graphql b/graphql/schema/testdata/schemagen/output/hasInverse.graphql index 16eb8798bcb..0dd5f4976dc 100755 --- a/graphql/schema/testdata/schemagen/output/hasInverse.graphql +++ b/graphql/schema/testdata/schemagen/output/hasInverse.graphql @@ -77,7 +77,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/hasInverse_withSubscription.graphql b/graphql/schema/testdata/schemagen/output/hasInverse_withSubscription.graphql index 83d833fc752..5d69cd2f8bd 100755 --- a/graphql/schema/testdata/schemagen/output/hasInverse_withSubscription.graphql +++ b/graphql/schema/testdata/schemagen/output/hasInverse_withSubscription.graphql @@ -77,7 +77,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/ignore-unsupported-directive.graphql b/graphql/schema/testdata/schemagen/output/ignore-unsupported-directive.graphql index 02daf1fec8f..2f6bf933dd7 100755 --- a/graphql/schema/testdata/schemagen/output/ignore-unsupported-directive.graphql +++ b/graphql/schema/testdata/schemagen/output/ignore-unsupported-directive.graphql @@ -79,7 +79,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/interface-with-dgraph-pred.graphql b/graphql/schema/testdata/schemagen/output/interface-with-dgraph-pred.graphql index 95d585e52d4..1f072153287 100644 --- a/graphql/schema/testdata/schemagen/output/interface-with-dgraph-pred.graphql +++ b/graphql/schema/testdata/schemagen/output/interface-with-dgraph-pred.graphql @@ -86,7 +86,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/interface-with-id-directive.graphql b/graphql/schema/testdata/schemagen/output/interface-with-id-directive.graphql index 11838627d26..c733ab21377 100755 --- a/graphql/schema/testdata/schemagen/output/interface-with-id-directive.graphql +++ b/graphql/schema/testdata/schemagen/output/interface-with-id-directive.graphql @@ -81,7 +81,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/interface-with-no-ids.graphql b/graphql/schema/testdata/schemagen/output/interface-with-no-ids.graphql index 3521e43a7cf..767eb94b28e 100755 --- a/graphql/schema/testdata/schemagen/output/interface-with-no-ids.graphql +++ b/graphql/schema/testdata/schemagen/output/interface-with-no-ids.graphql @@ -81,7 +81,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/interfaces-with-types-and-password.graphql b/graphql/schema/testdata/schemagen/output/interfaces-with-types-and-password.graphql index e1d292684c4..3b6bc365898 100755 --- a/graphql/schema/testdata/schemagen/output/interfaces-with-types-and-password.graphql +++ b/graphql/schema/testdata/schemagen/output/interfaces-with-types-and-password.graphql @@ -103,7 +103,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/interfaces-with-types.graphql b/graphql/schema/testdata/schemagen/output/interfaces-with-types.graphql index 8cfadba62ca..d8590e15d1f 100755 --- a/graphql/schema/testdata/schemagen/output/interfaces-with-types.graphql +++ b/graphql/schema/testdata/schemagen/output/interfaces-with-types.graphql @@ -103,7 +103,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/no-id-field-with-searchables.graphql b/graphql/schema/testdata/schemagen/output/no-id-field-with-searchables.graphql index bc4f0b8ce1e..fafb1345b9d 100755 --- a/graphql/schema/testdata/schemagen/output/no-id-field-with-searchables.graphql +++ b/graphql/schema/testdata/schemagen/output/no-id-field-with-searchables.graphql @@ -71,7 +71,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/no-id-field.graphql b/graphql/schema/testdata/schemagen/output/no-id-field.graphql index fe3d9a970f4..d5d9dd6d3ca 100755 --- a/graphql/schema/testdata/schemagen/output/no-id-field.graphql +++ b/graphql/schema/testdata/schemagen/output/no-id-field.graphql @@ -83,7 +83,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/password-type.graphql b/graphql/schema/testdata/schemagen/output/password-type.graphql index 6ae6f10cc06..398b6c57f2e 100755 --- a/graphql/schema/testdata/schemagen/output/password-type.graphql +++ b/graphql/schema/testdata/schemagen/output/password-type.graphql @@ -72,7 +72,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/searchables-references.graphql b/graphql/schema/testdata/schemagen/output/searchables-references.graphql index 1ae5cbf3c4d..9e37ee187e2 100755 --- a/graphql/schema/testdata/schemagen/output/searchables-references.graphql +++ b/graphql/schema/testdata/schemagen/output/searchables-references.graphql @@ -81,7 +81,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/searchables.graphql b/graphql/schema/testdata/schemagen/output/searchables.graphql index 0a57337e274..f2c54ad1f9f 100755 --- a/graphql/schema/testdata/schemagen/output/searchables.graphql +++ b/graphql/schema/testdata/schemagen/output/searchables.graphql @@ -98,7 +98,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/single-type-with-enum.graphql b/graphql/schema/testdata/schemagen/output/single-type-with-enum.graphql index 24c76f82278..da1e82d6204 100755 --- a/graphql/schema/testdata/schemagen/output/single-type-with-enum.graphql +++ b/graphql/schema/testdata/schemagen/output/single-type-with-enum.graphql @@ -80,7 +80,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/single-type.graphql b/graphql/schema/testdata/schemagen/output/single-type.graphql index 1518af2d4aa..8f5b0b99672 100755 --- a/graphql/schema/testdata/schemagen/output/single-type.graphql +++ b/graphql/schema/testdata/schemagen/output/single-type.graphql @@ -74,7 +74,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/type-implements-multiple-interfaces.graphql b/graphql/schema/testdata/schemagen/output/type-implements-multiple-interfaces.graphql index 980bff37168..09a87937b63 100755 --- a/graphql/schema/testdata/schemagen/output/type-implements-multiple-interfaces.graphql +++ b/graphql/schema/testdata/schemagen/output/type-implements-multiple-interfaces.graphql @@ -87,7 +87,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/type-reference.graphql b/graphql/schema/testdata/schemagen/output/type-reference.graphql index 1e06b5f26ba..1c86ef1119a 100755 --- a/graphql/schema/testdata/schemagen/output/type-reference.graphql +++ b/graphql/schema/testdata/schemagen/output/type-reference.graphql @@ -79,7 +79,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/type-with-arguments-on-field.graphql b/graphql/schema/testdata/schemagen/output/type-with-arguments-on-field.graphql index 4af50f66281..b0ae2c19651 100644 --- a/graphql/schema/testdata/schemagen/output/type-with-arguments-on-field.graphql +++ b/graphql/schema/testdata/schemagen/output/type-with-arguments-on-field.graphql @@ -80,7 +80,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/type-with-custom-field-on-dgraph-type.graphql b/graphql/schema/testdata/schemagen/output/type-with-custom-field-on-dgraph-type.graphql index a3ca559faae..57d59e1bd39 100644 --- a/graphql/schema/testdata/schemagen/output/type-with-custom-field-on-dgraph-type.graphql +++ b/graphql/schema/testdata/schemagen/output/type-with-custom-field-on-dgraph-type.graphql @@ -79,7 +79,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/testdata/schemagen/output/type-with-custom-fields-on-remote-type.graphql b/graphql/schema/testdata/schemagen/output/type-with-custom-fields-on-remote-type.graphql index 0d87fde3e01..d0c4b6aa6b3 100644 --- a/graphql/schema/testdata/schemagen/output/type-with-custom-fields-on-remote-type.graphql +++ b/graphql/schema/testdata/schemagen/output/type-with-custom-fields-on-remote-type.graphql @@ -79,7 +79,7 @@ directive @auth( add: AuthRule, update: AuthRule, delete:AuthRule) on OBJECT -directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @custom(http: CustomHTTP, dql: String) on FIELD_DEFINITION directive @remote on OBJECT | INTERFACE directive @cascade on FIELD diff --git a/graphql/schema/wrappers.go b/graphql/schema/wrappers.go index a1325d43c00..9cecae14236 100644 --- a/graphql/schema/wrappers.go +++ b/graphql/schema/wrappers.go @@ -80,6 +80,7 @@ const ( SchemaQuery QueryType = "schema" PasswordQuery QueryType = "checkPassword" HTTPQuery QueryType = "http" + DQLQuery QueryType = "dql" NotSupportedQuery QueryType = "notsupported" AddMutation MutationType = "add" UpdateMutation MutationType = "update" @@ -115,6 +116,7 @@ type Field interface { Name() string Alias() string ResponseName() string + Arguments() map[string]interface{} ArgValue(name string) interface{} IsArgListType(name string) bool IDArgValue() (*string, uint64, error) @@ -152,6 +154,7 @@ type Mutation interface { type Query interface { Field QueryType() QueryType + DQLQuery() string Rename(newName string) AuthFor(typ Type, jwtVars map[string]interface{}) Query } @@ -625,7 +628,7 @@ func (f *field) IsAuthQuery() bool { return f.field.Arguments.ForName("dgraph.uid") != nil } -func (f *field) ArgValue(name string) interface{} { +func (f *field) Arguments() map[string]interface{} { if f.arguments == nil { // Compute and cache the map first time this function is called for a field. f.arguments = f.field.ArgumentMap(f.op.vars) @@ -637,7 +640,11 @@ func (f *field) ArgValue(name string) interface{} { f.arguments = x.DeepCopyJsonMap(f.arguments) } } - return f.arguments[name] + return f.arguments +} + +func (f *field) ArgValue(name string) interface{} { + return f.Arguments()[name] } func (f *field) IsArgListType(name string) bool { @@ -1042,6 +1049,10 @@ func (q *query) SetArgTo(arg string, val interface{}) { (*field)(q).SetArgTo(arg, val) } +func (q *query) Arguments() map[string]interface{} { + return (*field)(q).Arguments() +} + func (q *query) ArgValue(name string) interface{} { return (*field)(q).ArgValue(name) } @@ -1106,9 +1117,21 @@ func (q *query) QueryType() QueryType { return queryType(q.Name(), q.op.inSchema.customDirectives["Query"][q.Name()]) } +func (q *query) DQLQuery() string { + if customDir := q.op.inSchema.customDirectives["Query"][q.Name()]; customDir != nil { + if dqlArgument := customDir.Arguments.ForName(dqlArg); dqlArgument != nil { + return dqlArgument.Value.Raw + } + } + return "" +} + func queryType(name string, custom *ast.Directive) QueryType { switch { case custom != nil: + if custom.Arguments.ForName(dqlArg) != nil { + return DQLQuery + } return HTTPQuery case strings.HasPrefix(name, "get"): return GetQuery @@ -1159,6 +1182,10 @@ func (m *mutation) IsArgListType(name string) bool { return (*field)(m).IsArgListType(name) } +func (m *mutation) Arguments() map[string]interface{} { + return (*field)(m).Arguments() +} + func (m *mutation) ArgValue(name string) interface{} { return (*field)(m).ArgValue(name) } From 5e39c8aa8b4091d7fffcf8b2f18a98d712544539 Mon Sep 17 00:00:00 2001 From: Manish R Jain Date: Thu, 30 Jul 2020 15:27:07 -0700 Subject: [PATCH 034/151] fix(Debug): Do not calculate min max versions upfront (#6031) Calculating min and max versions upfront requires iterating over the entire Badger DB. For larger DBs, this can take up significant amount of time and compute power. And it is not useful outside of Jepsen testing which calculates min-max anyway. --- dgraph/cmd/debug/run.go | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/dgraph/cmd/debug/run.go b/dgraph/cmd/debug/run.go index 5da33758d5e..f86f22dd3f9 100644 --- a/dgraph/cmd/debug/run.go +++ b/dgraph/cmd/debug/run.go @@ -797,8 +797,9 @@ func run() { return } - min, max := getMinMax(db, opt.readTs) - fmt.Printf("Min commit: %d. Max commit: %d, w.r.t %d\n", min, max, opt.readTs) + // Commenting the following out because on large Badger DBs, this can take a LONG time. + // min, max := getMinMax(db, opt.readTs) + // fmt.Printf("Min commit: %d. Max commit: %d, w.r.t %d\n", min, max, opt.readTs) switch { case len(opt.keyLookup) > 0: From 198f68057a38f2bff488da4b359d761dbc1a0953 Mon Sep 17 00:00:00 2001 From: Abhimanyu Singh Gaur <12651351+abhimanyusinghgaur@users.noreply.github.com> Date: Fri, 31 Jul 2020 16:29:31 +0530 Subject: [PATCH 035/151] fix(GraphQL): fixes flaky TestCustomDQL (#6120) The order in which the query responses were returned, was not fixed earlier, so the test was flaky. Fixed the query to return the responses in sorted order. --- graphql/e2e/custom_logic/custom_logic_test.go | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/graphql/e2e/custom_logic/custom_logic_test.go b/graphql/e2e/custom_logic/custom_logic_test.go index 7ef0df114fc..b70c44f9a2d 100644 --- a/graphql/e2e/custom_logic/custom_logic_test.go +++ b/graphql/e2e/custom_logic/custom_logic_test.go @@ -2695,9 +2695,12 @@ func TestCustomDQL(t *testing.T) { queryUserTweetCounts: [UserTweetCount] @custom(dql: """ query { - queryUserTweetCounts(func: type(User)) { + var(func: type(User)) { + tc as count(User.tweets) + } + queryUserTweetCounts(func: uid(tc), orderdesc: val(tc)) { screen_name: User.screen_name - tweetCount: count(User.tweets) + tweetCount: val(tc) } } """) From b8c83e5c44a644c00efba27857b0c7c69be7f32e Mon Sep 17 00:00:00 2001 From: Tejas Dinkar Date: Fri, 31 Jul 2020 16:41:35 +0530 Subject: [PATCH 036/151] feat: Live Loader Now Supports Slash GraphQL (#6117) Live Loader can now support Slash GraphQL Here is an example: ``` ./dgraph live --slash_grpc_endpoint=defiant-curve-2926.grpc.us-east-1.aws.thegaas.com:443 -f /path/to/file.json.gz -t api-token ``` Why introduce a new flag, `--slash_grpc_endpoint`? * Connections to zero didn't support TLS, so we'd need a new flag to indicate this * There was no way to start TLS, but use the system CA pool (--tls_ca_cert had to be a valid path). This is not needed for public auth * Passing in the --alpha --zero and --tls_server_name with the same value felt clunky * In Slash GraphQL, the GRPC authentication is passed in via `Authentication` metadata to all endpoints, as opposed to only passing in `X-Dgraph-AuthToken` to alter alone --- dgraph/cmd/live/run.go | 35 ++++++++++++++++++++++++++++++----- x/tls_helper.go | 18 ++++++++++++++++++ x/x.go | 38 ++++++++++++++++++++++++++++++++++---- 3 files changed, 82 insertions(+), 9 deletions(-) diff --git a/dgraph/cmd/live/run.go b/dgraph/cmd/live/run.go index 73e9d01e6a4..76d5ee0d06a 100644 --- a/dgraph/cmd/live/run.go +++ b/dgraph/cmd/live/run.go @@ -20,6 +20,7 @@ import ( "bufio" "compress/gzip" "context" + "crypto/tls" "encoding/json" "fmt" "io" @@ -35,6 +36,7 @@ import ( "sync" "time" + "google.golang.org/grpc" "google.golang.org/grpc/metadata" "github.com/dgraph-io/badger/v2" @@ -51,6 +53,7 @@ import ( "github.com/golang/glog" "github.com/pkg/errors" "github.com/spf13/cobra" + "github.com/spf13/viper" ) type options struct { @@ -139,7 +142,10 @@ func init() { "Number of N-Quads to send as part of a mutation.") flag.StringP("xidmap", "x", "", "Directory to store xid to uid mapping") flag.StringP("auth_token", "t", "", - "The auth token passed to the server for Alter operation of the schema file") + "The auth token passed to the server for Alter operation of the schema file. If used with --slash_grpc_endpoint, then this "+ + "should be set to the API token issued by Slash GraphQL") + flag.String("slash_grpc_endpoint", "", "Path to Slash GraphQL GRPC endpoint. If --slash_grpc_endpoint is set, "+ + "all other TLS options and connection options will be ignored") flag.BoolP("use_compression", "C", false, "Enable compression on connection to alpha server") flag.Bool("new_uids", false, @@ -363,7 +369,7 @@ func (l *loader) processLoadFile(ctx context.Context, rd *bufio.Reader, ck chunk return nil } -func setup(opts batchMutationOptions, dc *dgo.Dgraph) *loader { +func setup(opts batchMutationOptions, dc *dgo.Dgraph, conf *viper.Viper) *loader { var db *badger.DB if len(opt.clientDir) > 0 { x.Check(os.MkdirAll(opt.clientDir, 0700)) @@ -379,8 +385,20 @@ func setup(opts batchMutationOptions, dc *dgo.Dgraph) *loader { } + dialOpts := []grpc.DialOption{} + if conf.GetString("slash_grpc_endpoint") != "" && conf.IsSet("auth_token") { + dialOpts = append(dialOpts, x.WithAuthorizationCredentials(conf.GetString("auth_token"))) + } + + var tlsConfig *tls.Config = nil + if conf.GetString("slash_grpc_endpoint") != "" { + var tlsErr error + tlsConfig, tlsErr = x.SlashTLSConfig(conf.GetString("slash_grpc_endpoint")) + x.Checkf(tlsErr, "Unable to generate TLS Cert Pool") + } + // compression with zero server actually makes things worse - connzero, err := x.SetupConnection(opt.zero, nil, false) + connzero, err := x.SetupConnection(opt.zero, tlsConfig, false, dialOpts...) x.Checkf(err, "Unable to connect to zero, Is it running at %s?", opt.zero) alloc := xidmap.New(connzero, db) @@ -405,13 +423,20 @@ func setup(opts batchMutationOptions, dc *dgo.Dgraph) *loader { } func run() error { + var zero string + if Live.Conf.GetString("slash_grpc_endpoint") != "" { + zero = Live.Conf.GetString("slash_grpc_endpoint") + } else { + zero = Live.Conf.GetString("zero") + } + var err error x.PrintVersion() opt = options{ dataFiles: Live.Conf.GetString("files"), dataFormat: Live.Conf.GetString("format"), schemaFile: Live.Conf.GetString("schema"), - zero: Live.Conf.GetString("zero"), + zero: zero, concurrent: Live.Conf.GetInt("conc"), batchSize: Live.Conf.GetInt("batch"), clientDir: Live.Conf.GetString("xidmap"), @@ -445,7 +470,7 @@ func run() error { dg, closeFunc := x.GetDgraphClient(Live.Conf, true) defer closeFunc() - l := setup(bmOpts, dg) + l := setup(bmOpts, dg, Live.Conf) defer l.zeroconn.Close() if len(opt.schemaFile) > 0 { diff --git a/x/tls_helper.go b/x/tls_helper.go index b0586c14141..1f216ca0853 100644 --- a/x/tls_helper.go +++ b/x/tls_helper.go @@ -72,8 +72,26 @@ func LoadServerTLSConfig(v *viper.Viper, tlsCertFile string, tlsKeyFile string) return GenerateServerTLSConfig(&conf) } +// SlashTLSConfig returns the TLS config appropriate for SlashGraphQL +// This assumes that endpoint is not empty, and in the format "domain.grpc.cloud.dg.io:443" +func SlashTLSConfig(endpoint string) (*tls.Config, error) { + pool, err := generateCertPool("", true) + if err != nil { + return nil, err + } + hostWithoutPort := strings.Split(endpoint, ":")[0] + return &tls.Config{ + RootCAs: pool, + ServerName: hostWithoutPort, + }, nil +} + // LoadClientTLSConfig loads the TLS config into the client with the given parameters. func LoadClientTLSConfig(v *viper.Viper) (*tls.Config, error) { + if v.GetString("slash_grpc_endpoint") != "" { + return SlashTLSConfig(v.GetString("slash_grpc_endpoint")) + } + // When the --tls_cacert option is pecified, the connection will be set up using TLS instead of // plaintext. However the client cert files are optional, depending on whether the server // requires a client certificate. diff --git a/x/x.go b/x/x.go index be09c8f32a2..53db9638dee 100644 --- a/x/x.go +++ b/x/x.go @@ -740,7 +740,7 @@ func DivideAndRule(num int) (numGo, width int) { } // SetupConnection starts a secure gRPC connection to the given host. -func SetupConnection(host string, tlsCfg *tls.Config, useGz bool) (*grpc.ClientConn, error) { +func SetupConnection(host string, tlsCfg *tls.Config, useGz bool, dialOpts ...grpc.DialOption) (*grpc.ClientConn, error) { callOpts := append([]grpc.CallOption{}, grpc.MaxCallRecvMsgSize(GrpcMaxSize), grpc.MaxCallSendMsgSize(GrpcMaxSize)) @@ -750,7 +750,7 @@ func SetupConnection(host string, tlsCfg *tls.Config, useGz bool) (*grpc.ClientC callOpts = append(callOpts, grpc.UseCompressor(gzip.Name)) } - dialOpts := append([]grpc.DialOption{}, + dialOpts = append(dialOpts, grpc.WithStatsHandler(&ocgrpc.ClientHandler{}), grpc.WithDefaultCallOptions(callOpts...), grpc.WithBlock()) @@ -815,13 +815,38 @@ type CredOpt struct { PasswordOpt string } +type authorizationCredentials struct { + token string +} + +func (a *authorizationCredentials) GetRequestMetadata(ctx context.Context, uri ...string) (map[string]string, error) { + return map[string]string{"Authorization": a.token}, nil +} + +func (a *authorizationCredentials) RequireTransportSecurity() bool { + return true +} + +// WithAuthorizationCredentials adds Authorization: to every GRPC request +// This is mostly used by Slash GraphQL to authenticate requests +func WithAuthorizationCredentials(authToken string) grpc.DialOption { + return grpc.WithPerRPCCredentials(&authorizationCredentials{authToken}) +} + // GetDgraphClient creates a Dgraph client based on the following options in the configuration: +// --slash_grpc_endpoint specifies the grpc endpoint for slash. It takes precedence over --alpha and TLS // --alpha specifies a comma separated list of endpoints to connect to // --tls_cacert, --tls_cert, --tls_key etc specify the TLS configuration of the connection // --retries specifies how many times we should retry the connection to each endpoint upon failures // --user and --password specify the credentials we should use to login with the server func GetDgraphClient(conf *viper.Viper, login bool) (*dgo.Dgraph, CloseFunc) { - alphas := conf.GetString("alpha") + var alphas string + if conf.GetString("slash_grpc_endpoint") != "" { + alphas = conf.GetString("slash_grpc_endpoint") + } else { + alphas = conf.GetString("alpha") + } + if len(alphas) == 0 { glog.Fatalf("The --alpha option must be set in order to connect to Dgraph") } @@ -842,10 +867,15 @@ func GetDgraphClient(conf *viper.Viper, login bool) (*dgo.Dgraph, CloseFunc) { } } + dialOpts := []grpc.DialOption{} + if conf.GetString("slash_grpc_endpoint") != "" && conf.IsSet("auth_token") { + dialOpts = append(dialOpts, WithAuthorizationCredentials(conf.GetString("auth_token"))) + } + for _, d := range ds { var conn *grpc.ClientConn for i := 0; i < retries; i++ { - conn, err = SetupConnection(d, tlsCfg, false) + conn, err = SetupConnection(d, tlsCfg, false, dialOpts...) if err == nil { break } From 2a3b85c9cc9bf6bcb62564bb6bf12669967ed7da Mon Sep 17 00:00:00 2001 From: Martin Martinez Rivera Date: Mon, 3 Aug 2020 09:12:54 -0700 Subject: [PATCH 037/151] fix(dgraph): Fix out of order issues with split keys in bulk loader. (#6083) Split keys for indexes can cause out-of-order issues due to the variable length of the term inside the key. To fix the issue, the split keys are written to a temporary DB first (using the writebatch to avoid the out of order issues) and then copied to the main p directory. Related to DGRAPH-1897 --- dgraph/cmd/bulk/count_index.go | 10 ++- dgraph/cmd/bulk/loader.go | 6 +- dgraph/cmd/bulk/reduce.go | 143 +++++++++++++++++++++++++++++---- 3 files changed, 137 insertions(+), 22 deletions(-) diff --git a/dgraph/cmd/bulk/count_index.go b/dgraph/cmd/bulk/count_index.go index b09617b4206..51635c6a6cf 100644 --- a/dgraph/cmd/bulk/count_index.go +++ b/dgraph/cmd/bulk/count_index.go @@ -40,10 +40,12 @@ type current struct { type countIndexer struct { *reducer - writer *badger.StreamWriter - cur current - counts map[int][]uint64 - wg sync.WaitGroup + writer *badger.StreamWriter + splitWriter *badger.WriteBatch + tmpDb *badger.DB + cur current + counts map[int][]uint64 + wg sync.WaitGroup } // addUid adds the uid from rawKey to a count index if a count index is diff --git a/dgraph/cmd/bulk/loader.go b/dgraph/cmd/bulk/loader.go index 3e0a8cc6485..7c44e23aeeb 100644 --- a/dgraph/cmd/bulk/loader.go +++ b/dgraph/cmd/bulk/loader.go @@ -88,7 +88,8 @@ type state struct { readerChunkCh chan *bytes.Buffer mapFileId uint32 // Used atomically to name the output files of the mappers. dbs []*badger.DB - writeTs uint64 // All badger writes use this timestamp + tmpDbs []*badger.DB // Temporary DB to write the split lists to avoid ordering issues. + writeTs uint64 // All badger writes use this timestamp } type loader struct { @@ -343,5 +344,8 @@ func (ld *loader) cleanup() { for _, db := range ld.dbs { x.Check(db.Close()) } + for _, db := range ld.tmpDbs { + x.Check(db.Close()) + } ld.prog.endSummary() } diff --git a/dgraph/cmd/bulk/reduce.go b/dgraph/cmd/bulk/reduce.go index 19085e38dcc..880f3242699 100644 --- a/dgraph/cmd/bulk/reduce.go +++ b/dgraph/cmd/bulk/reduce.go @@ -23,7 +23,9 @@ import ( "encoding/binary" "fmt" "io" + "io/ioutil" "log" + "math" "os" "path/filepath" "runtime" @@ -51,6 +53,7 @@ type reducer struct { } const batchSize = 10000 +const maxSplitBatchLen = 1000 const batchAlloc = batchSize * 11 / 10 func (r *reducer) run() error { @@ -63,7 +66,7 @@ func (r *reducer) run() error { if err := thr.Do(); err != nil { return err } - go func(shardId int, db *badger.DB) { + go func(shardId int, db *badger.DB, tmpDb *badger.DB) { defer thr.Done(nil) mapFiles := filenamesInTree(dirs[shardId]) @@ -77,8 +80,15 @@ func (r *reducer) run() error { writer := db.NewStreamWriter() x.Check(writer.Prepare()) - - ci := &countIndexer{reducer: r, writer: writer} + // Split lists are written to a separate DB first to avoid ordering issues. + splitWriter := tmpDb.NewManagedWriteBatch() + + ci := &countIndexer{ + reducer: r, + writer: writer, + splitWriter: splitWriter, + tmpDb: tmpDb, + } sort.Slice(partitionKeys, func(i, j int) bool { return bytes.Compare(partitionKeys[i], partitionKeys[j]) < 0 }) @@ -91,17 +101,21 @@ func (r *reducer) run() error { ci.wait() x.Check(writer.Flush()) + + // Write split lists back to the main DB. + r.writeSplitLists(db, tmpDb) + for _, itr := range mapItrs { if err := itr.Close(); err != nil { fmt.Printf("Error while closing iterator: %v", err) } } - }(i, r.createBadger(i)) + }(i, r.createBadger(i), r.createTmpBadger()) } return thr.Finish() } -func (r *reducer) createBadger(i int) *badger.DB { +func (r *reducer) createBadgerInternal(dir string, compression bool) *badger.DB { if r.opt.EncryptionKey != nil { // Need to set zero addr in WorkerConfig before checking the license. x.WorkerConfig.ZeroAddr = []string{r.opt.ZeroAddr} @@ -114,25 +128,43 @@ func (r *reducer) createBadger(i int) *badger.DB { } } - opt := badger.DefaultOptions(r.opt.shardOutputDirs[i]).WithSyncWrites(false). + opt := badger.DefaultOptions(dir).WithSyncWrites(false). WithTableLoadingMode(bo.MemoryMap).WithValueThreshold(1 << 10 /* 1 KB */). WithLogger(nil).WithMaxCacheSize(1 << 20). WithEncryptionKey(r.opt.EncryptionKey).WithCompression(bo.None) // Overwrite badger options based on the options provided by the user. - r.setBadgerOptions(&opt) + r.setBadgerOptions(&opt, compression) db, err := badger.OpenManaged(opt) x.Check(err) // Zero out the key from memory. opt.EncryptionKey = nil + return db +} +func (r *reducer) createBadger(i int) *badger.DB { + db := r.createBadgerInternal(r.opt.shardOutputDirs[i], true) r.dbs = append(r.dbs, db) return db } -func (r *reducer) setBadgerOptions(opt *badger.Options) { +func (r *reducer) createTmpBadger() *badger.DB { + tmpDir, err := ioutil.TempDir(r.opt.TmpDir, "split") + x.Check(err) + // Do not enable compression in temporary badger to improve performance. + db := r.createBadgerInternal(tmpDir, false) + r.tmpDbs = append(r.tmpDbs, db) + return db +} + +func (r *reducer) setBadgerOptions(opt *badger.Options, compression bool) { + if !compression { + opt.Compression = bo.None + opt.ZSTDCompressionLevel = 0 + return + } // Set the compression level. opt.ZSTDCompressionLevel = r.state.opt.BadgerCompressionLevel if r.state.opt.BadgerCompressionLevel < 1 { @@ -281,6 +313,7 @@ type encodeRequest struct { countKeys []*countIndexEntry wg *sync.WaitGroup list *bpb.KVList + splitList *bpb.KVList } func (r *reducer) streamIdFor(pred string) uint32 { @@ -305,18 +338,13 @@ func (r *reducer) encode(entryCh chan *encodeRequest, closer *y.Closer) { for req := range entryCh { req.list = &bpb.KVList{} - countKeys := r.toList(req.entries, req.list) + req.splitList = &bpb.KVList{} + countKeys := r.toList(req.entries, req.list, req.splitList) for _, kv := range req.list.Kv { pk, err := x.Parse(kv.Key) x.Check(err) x.AssertTrue(len(pk.Attr) > 0) kv.StreamId = r.streamIdFor(pk.Attr) - if pk.HasStartUid { - // If the key is for a split key, it cannot go into the same stream - // due to ordering issues. Instead, the stream ID for this keys is - // derived by flipping the MSB of the original stream ID. - kv.StreamId |= 0x80000000 - } } req.countKeys = countKeys req.wg.Done() @@ -324,8 +352,46 @@ func (r *reducer) encode(entryCh chan *encodeRequest, closer *y.Closer) { } } +func (r *reducer) writeTmpSplits(ci *countIndexer, kvsCh chan *bpb.KVList, wg *sync.WaitGroup) { + defer wg.Done() + splitBatchLen := 0 + + for kvs := range kvsCh { + if kvs == nil || len(kvs.Kv) == 0 { + continue + } + + for i := 0; i < len(kvs.Kv); i += maxSplitBatchLen { + // Flush the write batch when the max batch length is reached to prevent the + // value log from growing over the allowed limit. + if splitBatchLen >= maxSplitBatchLen { + x.Check(ci.splitWriter.Flush()) + ci.splitWriter = ci.tmpDb.NewManagedWriteBatch() + splitBatchLen = 0 + } + + batch := &bpb.KVList{} + if i+maxSplitBatchLen >= len(kvs.Kv) { + batch.Kv = kvs.Kv[i:] + } else { + batch.Kv = kvs.Kv[i : i+maxSplitBatchLen] + } + splitBatchLen += len(batch.Kv) + x.Check(ci.splitWriter.Write(batch)) + } + } + x.Check(ci.splitWriter.Flush()) +} + func (r *reducer) startWriting(ci *countIndexer, writerCh chan *encodeRequest, closer *y.Closer) { defer closer.Done() + + // Concurrently write split lists to a temporary badger. + tmpWg := new(sync.WaitGroup) + tmpWg.Add(1) + splitCh := make(chan *bpb.KVList, 2*runtime.NumCPU()) + go r.writeTmpSplits(ci, splitCh, tmpWg) + for req := range writerCh { req.wg.Wait() @@ -336,11 +402,53 @@ func (r *reducer) startWriting(ci *countIndexer, writerCh chan *encodeRequest, c start := time.Now() x.Check(ci.writer.Write(req.list)) + if req.splitList != nil && len(req.splitList.Kv) > 0 { + splitCh <- req.splitList + } + if dur := time.Since(start).Round(time.Millisecond); dur > time.Second { fmt.Printf("writeCh: Time taken to write req: %v\n", time.Since(start).Round(time.Millisecond)) } } + + // Wait for split lists to be written to the temporary badger. + close(splitCh) + tmpWg.Wait() +} + +func (r *reducer) writeSplitLists(db, tmpDb *badger.DB) { + txn := tmpDb.NewTransactionAt(math.MaxUint64, false) + defer txn.Discard() + itr := txn.NewIterator(badger.DefaultIteratorOptions) + defer itr.Close() + + writer := db.NewManagedWriteBatch() + splitBatchLen := 0 + + for itr.Rewind(); itr.Valid(); itr.Next() { + // Flush the write batch when the max batch length is reached to prevent the + // value log from growing over the allowed limit. + if splitBatchLen >= maxSplitBatchLen { + x.Check(writer.Flush()) + writer = db.NewManagedWriteBatch() + splitBatchLen = 0 + } + item := itr.Item() + + valCopy, err := item.ValueCopy(nil) + x.Check(err) + kv := &bpb.KV{ + Key: item.KeyCopy(nil), + Value: valCopy, + UserMeta: []byte{item.UserMeta()}, + Version: item.Version(), + ExpiresAt: item.ExpiresAt(), + } + x.Check(writer.Write(&bpb.KVList{Kv: []*bpb.KV{kv}})) + splitBatchLen += 1 + } + x.Check(writer.Flush()) } func (r *reducer) reduce(partitionKeys [][]byte, mapItrs []*mapIterator, ci *countIndexer) { @@ -397,7 +505,7 @@ func (r *reducer) reduce(partitionKeys [][]byte, mapItrs []*mapIterator, ci *cou writerCloser.SignalAndWait() } -func (r *reducer) toList(bufEntries [][]byte, list *bpb.KVList) []*countIndexEntry { +func (r *reducer) toList(bufEntries [][]byte, list, splitList *bpb.KVList) []*countIndexEntry { sort.Slice(bufEntries, func(i, j int) bool { lh, err := GetKeyForMapEntry(bufEntries[i]) x.Check(err) @@ -481,7 +589,8 @@ func (r *reducer) toList(bufEntries [][]byte, list *bpb.KVList) []*countIndexEnt l := posting.NewList(y.Copy(currentKey), pl, writeVersionTs) kvs, err := l.Rollup() x.Check(err) - list.Kv = append(list.Kv, kvs...) + list.Kv = append(list.Kv, kvs[0]) + splitList.Kv = append(splitList.Kv, kvs[1:]...) } else { val, err := pl.Marshal() x.Check(err) From 88651b4d4f438317303c0252275f4c317af8cfc8 Mon Sep 17 00:00:00 2001 From: Naman Jain Date: Wed, 5 Aug 2020 00:10:09 +0530 Subject: [PATCH 038/151] docs: [Breaking] split the docs into smaller pages (#6079) This PR splits docs with larger pages into smaller ones. Splitting work is from https://github.com/ChrisChinchilla/dgraph. This PR updates the build script of docs to serve docs via new hugo-theme and also add redirects as split pages don't exist in old versions. Old versions should use "old" theme of "dgraph-io/hugo-docs" while newer branches should use its master. --- dgraph/cmd/zero/tablet.go | 2 +- wiki/config.toml | 78 +- wiki/content/_index.md | 13 +- wiki/content/clients/_index.md | 8 + wiki/content/clients/c-sharp.md | 14 + wiki/content/clients/go.md | 393 ++ wiki/content/clients/index.md | 953 ---- wiki/content/clients/java.md | 17 + wiki/content/clients/javascript.md | 29 + wiki/content/clients/overview.md | 55 + wiki/content/clients/python.md | 16 + wiki/content/clients/raw-http.md | 429 ++ wiki/content/clients/unofficial-clients.md | 38 + wiki/content/deploy/_index.md | 15 + wiki/content/deploy/cluster-checklist.md | 17 + wiki/content/deploy/cluster-setup.md | 53 + wiki/content/deploy/config.md | 98 + wiki/content/deploy/data-compression.md | 19 + wiki/content/deploy/dgraph-administration.md | 209 + wiki/content/deploy/dgraph-alpha.md | 84 + wiki/content/deploy/dgraph-zero.md | 182 + wiki/content/deploy/download.md | 112 + wiki/content/deploy/fast-data-loading.md | 312 ++ wiki/content/deploy/index.md | 2802 ------------ wiki/content/deploy/kubernetes.md | 566 +++ wiki/content/deploy/log-format.md | 28 + wiki/content/deploy/ludicrous-mode.md | 40 + wiki/content/deploy/metrics.md | 73 + wiki/content/deploy/monitoring.md | 116 + wiki/content/deploy/multi-host-setup.md | 264 ++ wiki/content/deploy/ports-usage.md | 77 + wiki/content/deploy/production-checklist.md | 201 + wiki/content/deploy/single-host-setup.md | 148 + wiki/content/deploy/tls-configuration.md | 262 ++ wiki/content/deploy/tracing.md | 46 + wiki/content/deploy/troubleshooting.md | 27 + wiki/content/design-concepts/_index.md | 8 + wiki/content/design-concepts/concepts.md | 259 ++ .../design-concepts/consistency-model.md | 62 + wiki/content/design-concepts/index.md | 544 --- .../minimizing-network-calls.md | 55 + wiki/content/design-concepts/raft.md | 167 + .../design-concepts/transactions-faq.md | 22 + .../_index.md | 0 .../index.md | 6 +- wiki/content/enterprise-features/_index.md | 8 + .../access-control-lists.md | 476 ++ .../enterprise-features/binary-backups.md | 316 ++ .../enterprise-features/encryption-at-rest.md | 79 + wiki/content/enterprise-features/index.md | 960 ---- wiki/content/enterprise-features/license.md | 40 + wiki/content/faq/_index.md | 0 wiki/content/faq/index.md | 6 +- wiki/content/get-started/_index.md | 0 wiki/content/get-started/index.md | 11 +- wiki/content/howto/_index.md | 8 + .../howto/dgraph-sentry-integration.md | 63 + wiki/content/howto/giving-nodes-type.md | 10 + wiki/content/howto/index.md | 1048 ----- wiki/content/howto/jepson-tests.md | 42 + wiki/content/howto/load-balancing-nginx.md | 66 + wiki/content/howto/loading-csv-data.md | 150 + wiki/content/howto/login-system.md | 64 + wiki/content/howto/migrate-dgraph-1-1.md | 236 + .../howto/retrieving-debug-information.md | 56 + wiki/content/howto/upserts.md | 76 + wiki/content/howto/using-debug-tool.md | 231 + wiki/content/howto/using-increment-tool.md | 106 + wiki/content/mutations/_index.md | 10 + wiki/content/mutations/batch-mutations.md | 16 + wiki/content/mutations/blank-nodes.md | 86 + wiki/content/mutations/conditional-upsert.md | 285 ++ wiki/content/mutations/delete.md | 76 + wiki/content/mutations/external-ids.md | 66 + .../mutations/extrenal-ids-upsert-block.md | 86 + .../mutations/facets-in-list-type-with-rdf.md | 58 + wiki/content/mutations/index.md | 1684 ------- .../content/mutations/json-mutation-format.md | 612 +++ wiki/content/mutations/language-rdf-types.md | 49 + .../content/mutations/mutations-using-curl.md | 39 + wiki/content/mutations/triples.md | 37 + wiki/content/mutations/upsert-block.md | 295 ++ wiki/content/query-language/_index.md | 9 + wiki/content/query-language/aggregation.md | 188 + wiki/content/query-language/alias.md | 42 + .../query-language/cascade-directive.md | 47 + .../query-language/connecting-filters.md | 27 + wiki/content/query-language/count.md | 62 + wiki/content/query-language/debug.md | 59 + .../query-language/expand-predicates.md | 84 + wiki/content/query-language/facets.md | 389 ++ wiki/content/query-language/fragments.md | 26 + wiki/content/query-language/functions.md | 642 +++ .../query-language/graphql-fundamentals.md | 225 + .../query-language/graphql-variables.md | 79 + wiki/content/query-language/groupby.md | 57 + .../query-language/ignorereflex-directive.md | 27 + wiki/content/query-language/index.md | 3983 ----------------- .../indexing-custom-tokenizers.md | 572 +++ .../query-language/kshortest-path-quries.md | 199 + .../query-language/math-on-value-variables.md | 93 + .../query-language/multiple-query-blocks.md | 101 + .../query-language/normalize-directive.md | 57 + wiki/content/query-language/pagination.md | 132 + .../content/query-language/query-variables.md | 56 + wiki/content/query-language/recurse-query.md | 31 + wiki/content/query-language/schema.md | 517 +++ wiki/content/query-language/sorting.md | 76 + wiki/content/query-language/type-system.md | 146 + .../content/query-language/value-variables.md | 135 + wiki/content/releases/_index.md | 0 wiki/content/releases/index.md | 5 + wiki/content/tips/_index.md | 0 wiki/content/tips/index.md | 8 +- wiki/content/tutorial-1/_index.md | 0 wiki/content/tutorial-2/_index.md | 0 wiki/content/tutorial-3/_index.md | 0 wiki/content/tutorial-4/_index.md | 0 wiki/content/tutorial-5/_index.md | 0 wiki/content/tutorial-6/_index.md | 0 wiki/content/tutorial-7/_index.md | 0 wiki/content/tutorial-8/_index.md | 0 wiki/content/tutorial-8/index.md | 6 +- wiki/content/tutorials/_index.md | 0 wiki/content/tutorials/index.md | 11 +- wiki/docker-compose.yml | 9 + wiki/nginx/docs.conf | 14 +- wiki/scripts/build.sh | 44 +- wiki/scripts/docker.sh | 11 + 129 files changed, 12468 insertions(+), 12071 deletions(-) create mode 100644 wiki/content/clients/c-sharp.md create mode 100644 wiki/content/clients/go.md delete mode 100644 wiki/content/clients/index.md create mode 100644 wiki/content/clients/java.md create mode 100644 wiki/content/clients/javascript.md create mode 100644 wiki/content/clients/overview.md create mode 100644 wiki/content/clients/python.md create mode 100644 wiki/content/clients/raw-http.md create mode 100644 wiki/content/clients/unofficial-clients.md create mode 100644 wiki/content/deploy/cluster-checklist.md create mode 100644 wiki/content/deploy/cluster-setup.md create mode 100644 wiki/content/deploy/config.md create mode 100644 wiki/content/deploy/data-compression.md create mode 100644 wiki/content/deploy/dgraph-administration.md create mode 100644 wiki/content/deploy/dgraph-alpha.md create mode 100644 wiki/content/deploy/dgraph-zero.md create mode 100644 wiki/content/deploy/download.md create mode 100644 wiki/content/deploy/fast-data-loading.md create mode 100644 wiki/content/deploy/kubernetes.md create mode 100644 wiki/content/deploy/log-format.md create mode 100644 wiki/content/deploy/ludicrous-mode.md create mode 100644 wiki/content/deploy/metrics.md create mode 100644 wiki/content/deploy/monitoring.md create mode 100644 wiki/content/deploy/multi-host-setup.md create mode 100644 wiki/content/deploy/ports-usage.md create mode 100644 wiki/content/deploy/production-checklist.md create mode 100644 wiki/content/deploy/single-host-setup.md create mode 100644 wiki/content/deploy/tls-configuration.md create mode 100644 wiki/content/deploy/tracing.md create mode 100644 wiki/content/deploy/troubleshooting.md create mode 100644 wiki/content/design-concepts/concepts.md create mode 100644 wiki/content/design-concepts/consistency-model.md delete mode 100644 wiki/content/design-concepts/index.md create mode 100644 wiki/content/design-concepts/minimizing-network-calls.md create mode 100644 wiki/content/design-concepts/raft.md create mode 100644 wiki/content/design-concepts/transactions-faq.md delete mode 100644 wiki/content/dgraph-compared-to-other-databases/_index.md create mode 100644 wiki/content/enterprise-features/access-control-lists.md create mode 100644 wiki/content/enterprise-features/binary-backups.md create mode 100644 wiki/content/enterprise-features/encryption-at-rest.md delete mode 100644 wiki/content/enterprise-features/index.md create mode 100644 wiki/content/enterprise-features/license.md delete mode 100644 wiki/content/faq/_index.md delete mode 100644 wiki/content/get-started/_index.md create mode 100644 wiki/content/howto/dgraph-sentry-integration.md create mode 100644 wiki/content/howto/giving-nodes-type.md delete mode 100644 wiki/content/howto/index.md create mode 100644 wiki/content/howto/jepson-tests.md create mode 100644 wiki/content/howto/load-balancing-nginx.md create mode 100644 wiki/content/howto/loading-csv-data.md create mode 100644 wiki/content/howto/login-system.md create mode 100644 wiki/content/howto/migrate-dgraph-1-1.md create mode 100644 wiki/content/howto/retrieving-debug-information.md create mode 100644 wiki/content/howto/upserts.md create mode 100644 wiki/content/howto/using-debug-tool.md create mode 100644 wiki/content/howto/using-increment-tool.md create mode 100644 wiki/content/mutations/batch-mutations.md create mode 100644 wiki/content/mutations/blank-nodes.md create mode 100644 wiki/content/mutations/conditional-upsert.md create mode 100644 wiki/content/mutations/delete.md create mode 100644 wiki/content/mutations/external-ids.md create mode 100644 wiki/content/mutations/extrenal-ids-upsert-block.md create mode 100644 wiki/content/mutations/facets-in-list-type-with-rdf.md delete mode 100644 wiki/content/mutations/index.md create mode 100644 wiki/content/mutations/json-mutation-format.md create mode 100644 wiki/content/mutations/language-rdf-types.md create mode 100644 wiki/content/mutations/mutations-using-curl.md create mode 100644 wiki/content/mutations/triples.md create mode 100644 wiki/content/mutations/upsert-block.md create mode 100644 wiki/content/query-language/aggregation.md create mode 100644 wiki/content/query-language/alias.md create mode 100644 wiki/content/query-language/cascade-directive.md create mode 100644 wiki/content/query-language/connecting-filters.md create mode 100644 wiki/content/query-language/count.md create mode 100644 wiki/content/query-language/debug.md create mode 100644 wiki/content/query-language/expand-predicates.md create mode 100644 wiki/content/query-language/facets.md create mode 100644 wiki/content/query-language/fragments.md create mode 100644 wiki/content/query-language/functions.md create mode 100644 wiki/content/query-language/graphql-fundamentals.md create mode 100644 wiki/content/query-language/graphql-variables.md create mode 100644 wiki/content/query-language/groupby.md create mode 100644 wiki/content/query-language/ignorereflex-directive.md delete mode 100644 wiki/content/query-language/index.md create mode 100644 wiki/content/query-language/indexing-custom-tokenizers.md create mode 100644 wiki/content/query-language/kshortest-path-quries.md create mode 100644 wiki/content/query-language/math-on-value-variables.md create mode 100644 wiki/content/query-language/multiple-query-blocks.md create mode 100644 wiki/content/query-language/normalize-directive.md create mode 100644 wiki/content/query-language/pagination.md create mode 100644 wiki/content/query-language/query-variables.md create mode 100644 wiki/content/query-language/recurse-query.md create mode 100644 wiki/content/query-language/schema.md create mode 100644 wiki/content/query-language/sorting.md create mode 100644 wiki/content/query-language/type-system.md create mode 100644 wiki/content/query-language/value-variables.md delete mode 100644 wiki/content/releases/_index.md delete mode 100644 wiki/content/tips/_index.md delete mode 100644 wiki/content/tutorial-1/_index.md delete mode 100644 wiki/content/tutorial-2/_index.md delete mode 100644 wiki/content/tutorial-3/_index.md delete mode 100644 wiki/content/tutorial-4/_index.md delete mode 100644 wiki/content/tutorial-5/_index.md delete mode 100644 wiki/content/tutorial-6/_index.md delete mode 100644 wiki/content/tutorial-7/_index.md delete mode 100644 wiki/content/tutorial-8/_index.md delete mode 100644 wiki/content/tutorials/_index.md create mode 100644 wiki/docker-compose.yml create mode 100755 wiki/scripts/docker.sh diff --git a/dgraph/cmd/zero/tablet.go b/dgraph/cmd/zero/tablet.go index cf6facc856b..b77d89f532c 100644 --- a/dgraph/cmd/zero/tablet.go +++ b/dgraph/cmd/zero/tablet.go @@ -217,7 +217,7 @@ func (s *Server) chooseTablet() (predicate string, srcGroup uint32, dstGroup uin return } // We move the predicate only if the difference between size of both machines is - // atleast 10% of src group. + // atleast 10% of dst group. if float64(sizeDiff) < 0.1*float64(groups[0].size) { continue } diff --git a/wiki/config.toml b/wiki/config.toml index 65b4a90887b..275d2255766 100644 --- a/wiki/config.toml +++ b/wiki/config.toml @@ -8,76 +8,10 @@ unsafe = true [markup.highlight] noClasses = false -# set by build script: title, baseurl -title = "Dgraph Documentation" +[markup.tableOfContents] + endLevel = 3 + ordered = false + startLevel = 2 -[[menu.main]] - name = "Home" - url = "/" - identifier = "home" - weight = -1 -[[menu.main]] - name = "Get Started" - url = "/get-started/" - identifier = "get-started" - weight = 1 -[[menu.main]] - name = "Tutorials" - url = "/tutorials/" - identifier = "tutorials" - weight = 2 -[[menu.main]] - name = "Query Language" - url = "/query-language/" - identifier = "query-language" - weight = 3 -[[menu.main]] - name = "GraphQL+- Tips and Tricks" - url = "/tips/" - identifier = "tips" - weight = 4 -[[menu.main]] - name = "Mutations" - url = "/mutations/" - identifier = "mutations" - weight = 5 -[[menu.main]] - name = "Clients" - url = "/clients/" - identifier = "clients" - weight = 6 -[[menu.main]] - name = "Deploy" - url = "/deploy/" - identifier = "deploy" - weight = 7 -[[menu.main]] - name = "Enterprise Features" - url = "/enterprise-features/" - identifier = "enterprise-features" - weight = 8 -[[menu.main]] - name = "FAQ" - url = "/faq/" - identifier = "faq" - weight = 9 -[[menu.main]] - name = "How To Guides" - url = "/howto/" - identifier = "how-to-guides" - weight = 10 -[[menu.main]] - name = "Design Concepts" - url = "/design-concepts/" - identifier = "design-concepts" - weight = 11 -[[menu.main]] - name = "Dgraph Compared to Other Databases" - url = "/dgraph-compared-to-other-databases/" - identifier = "dgraph-compared-to-other-databases" - weight = 12 -[[menu.main]] - name = "Releases" - url = "/releases/" - identifier = "releases" - weight = 13 +# set by build script: title, baseurl +title = "Dgraph Documentation" \ No newline at end of file diff --git a/wiki/content/_index.md b/wiki/content/_index.md index b262f78c101..edb33bd52ab 100644 --- a/wiki/content/_index.md +++ b/wiki/content/_index.md @@ -1,6 +1,11 @@ +++ date = "2017-03-20T19:35:35+11:00" title = "Dgraph Documentation" +[menu.main] + url = "/" + name = "Home" + identifier = "home" + weight = 1 +++ **Welcome to the official Dgraph documentation.** @@ -51,7 +56,7 @@ Designed from the ground up to be run in production, Dgraph is the native GraphQ
- }}"> + }}"> Query Language
@@ -75,7 +80,7 @@ Designed from the ground up to be run in production, Dgraph is the native GraphQ
- }}"> + }}"> Clients
@@ -87,7 +92,7 @@ Designed from the ground up to be run in production, Dgraph is the native GraphQ
- }}"> + }}"> Deploy
@@ -99,7 +104,7 @@ Designed from the ground up to be run in production, Dgraph is the native GraphQ
- }}"> + }}"> Enterprise Features
diff --git a/wiki/content/clients/_index.md b/wiki/content/clients/_index.md index e69de29bb2d..d7744ef7cf3 100644 --- a/wiki/content/clients/_index.md +++ b/wiki/content/clients/_index.md @@ -0,0 +1,8 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Clients" +[menu.main] + url = "/clients/" + identifier = "clients" + weight = 7 ++++ \ No newline at end of file diff --git a/wiki/content/clients/c-sharp.md b/wiki/content/clients/c-sharp.md new file mode 100644 index 00000000000..87d042b4d37 --- /dev/null +++ b/wiki/content/clients/c-sharp.md @@ -0,0 +1,14 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "C#" +[menu.main] + parent = "clients" + weight = 3 ++++ + +The official C# client [can be found here](https://github.com/dgraph-io/dgraph.net). +Follow the instructions in the [README](https://github.com/dgraph-io/dgraph.net#readme) to get +it up and running. + +More details on the supported versions can be found at +[this link](https://github.com/dgraph-io/dgraph.net#supported-versions). \ No newline at end of file diff --git a/wiki/content/clients/go.md b/wiki/content/clients/go.md new file mode 100644 index 00000000000..5cf8c86022e --- /dev/null +++ b/wiki/content/clients/go.md @@ -0,0 +1,393 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Go" +[menu.main] + parent = "clients" + weight = 2 ++++ + +[![GoDoc](https://godoc.org/github.com/dgraph-io/dgo?status.svg)](https://godoc.org/github.com/dgraph-io/dgo) + +The Go client communicates with the server on the gRPC port (default value 9080). + +The client can be obtained in the usual way via `go get`: + +```sh + Requires at least Go 1.11 +export GO111MODULE=on +go get -u -v github.com/dgraph-io/dgo/v200 +``` + +The full [GoDoc](https://godoc.org/github.com/dgraph-io/dgo) contains +documentation for the client API along with examples showing how to use it. + +More details on the supported versions can be found at [this link](https://github.com/dgraph-io/dgo#supported-versions). + +## Create the client + +To create a client, dial a connection to Dgraph's external gRPC port (typically +9080). The following code snippet shows just one connection. You can connect to multiple Dgraph Alphas to distribute the workload evenly. + +```go +func newClient() *dgo.Dgraph { + // Dial a gRPC connection. The address to dial to can be configured when + // setting up the dgraph cluster. + d, err := grpc.Dial("localhost:9080", grpc.WithInsecure()) + if err != nil { + log.Fatal(err) + } + + return dgo.NewDgraphClient( + api.NewDgraphClient(d), + ) +} +``` + +The client can be configured to use gRPC compression: + +```go +func newClient() *dgo.Dgraph { + // Dial a gRPC connection. The address to dial to can be configured when + // setting up the dgraph cluster. + dialOpts := append([]grpc.DialOption{}, + grpc.WithInsecure(), + grpc.WithDefaultCallOptions(grpc.UseCompressor(gzip.Name))) + d, err := grpc.Dial("localhost:9080", dialOpts...) + + if err != nil { + log.Fatal(err) + } + + return dgo.NewDgraphClient( + api.NewDgraphClient(d), + ) +} + +``` + +## Alter the database + +To set the schema, set it on a `api.Operation` object, and pass it down to +the `Alter` method. + +```go +func setup(c *dgo.Dgraph) { + // Install a schema into dgraph. Accounts have a `name` and a `balance`. + err := c.Alter(context.Background(), &api.Operation{ + Schema: ` + name: string @index(term) . + balance: int . + `, + }) +} +``` + +`api.Operation` contains other fields as well, including drop predicate and drop +all. Drop all is useful if you wish to discard all the data, and start from a +clean slate, without bringing the instance down. + +```go + // Drop all data including schema from the dgraph instance. This is useful + // for small examples such as this, since it puts dgraph into a clean + // state. + err := c.Alter(context.Background(), &api.Operation{DropOp: api.Operation_ALL}) +``` + +The old way to send a drop all operation is still supported but will be eventually +deprecated. It's shown below for reference. + +```go + // Drop all data including schema from the dgraph instance. This is useful + // for small examples such as this, since it puts dgraph into a clean + // state. + err := c.Alter(context.Background(), &api.Operation{DropAll: true}) +``` + +Starting with version 1.1, `api.Operation` also supports a drop data operation. +This operation drops all the data but preserves the schema. This is useful when +the schema is large and needs to be reused, such as in between unit tests. + +```go + // Drop all data including schema from the dgraph instance. This is useful + // for small examples such as this, since it puts dgraph into a clean + // state. + err := c.Alter(context.Background(), &api.Operation{DropOp: api.Operation_DATA}) +``` + +## Create a transaction + +Dgraph supports running distributed ACID transactions. To create a +transaction, just call `c.NewTxn()`. This operation incurs no network call. +Typically, you'd also want to call a `defer txn.Discard()` to let it +automatically rollback in case of errors. Calling `Discard` after `Commit` would +be a no-op. + +```go +func runTxn(c *dgo.Dgraph) { + txn := c.NewTxn() + defer txn.Discard() + ... +} +``` + +### Read-Only Transactions + +Read-only transactions can be created by calling `c.NewReadOnlyTxn()`. Read-only +transactions are useful to increase read speed because they can circumvent the +usual consensus protocol. Read-only transactions cannot contain mutations and +trying to call `txn.Commit()` will result in an error. Calling `txn.Discard()` +will be a no-op. + +Read-only queries can optionally be set as best-effort. Using this flag will ask +the Dgraph Alpha to try to get timestamps from memory on a best-effort basis to +reduce the number of outbound requests to Zero. This may yield improved +latencies in read-bound workloads where linearizable reads are not strictly +needed. + +## Run a query + +You can run a query by calling `txn.Query`. The response would contain a `JSON` +field, which has the JSON encoded result. You can unmarshal it into Go struct +via `json.Unmarshal`. + +```go + // Query the balance for Alice and Bob. + const q = ` + { + all(func: anyofterms(name, "Alice Bob")) { + uid + balance + } + } + ` + resp, err := txn.Query(context.Background(), q) + if err != nil { + log.Fatal(err) + } + + // After we get the balances, we have to decode them into structs so that + // we can manipulate the data. + var decode struct { + All []struct { + Uid string + Balance int + } + } + if err := json.Unmarshal(resp.GetJson(), &decode); err != nil { + log.Fatal(err) + } +``` + +## Run a mutation + +`txn.Mutate` would run the mutation. It takes in a `api.Mutation` object, +which provides two main ways to set data: JSON and RDF N-Quad. You can choose +whichever way is convenient. + +To use JSON, use the fields SetJson and DeleteJson, which accept a string +representing the nodes to be added or removed respectively (either as a JSON map +or a list). To use RDF, use the fields SetNquads and DeleteNquads, which accept +a string representing the valid RDF triples (one per line) to added or removed +respectively. This protobuf object also contains the Set and Del fields which +accept a list of RDF triples that have already been parsed into our internal +format. As such, these fields are mainly used internally and users should use +the SetNquads and DeleteNquads instead if they are planning on using RDF. + +We're going to continue using JSON. You could modify the Go structs parsed from +the query, and marshal them back into JSON. + +```go + // Move $5 between the two accounts. + decode.All[0].Bal += 5 + decode.All[1].Bal -= 5 + + out, err := json.Marshal(decode.All) + if err != nil { + log.Fatal(err) + } + + _, err := txn.Mutate(context.Background(), &api.Mutation{SetJson: out}) +``` + +Sometimes, you only want to commit mutation, without querying anything further. +In such cases, you can use a `CommitNow` field in `api.Mutation` to +indicate that the mutation must be immediately committed. + +## Commit the transaction + +Once all the queries and mutations are done, you can commit the transaction. It +returns an error in case the transaction could not be committed. + +```go + // Finally, we can commit the transactions. An error will be returned if + // other transactions running concurrently modify the same data that was + // modified in this transaction. It is up to the library user to retry + // transactions when they fail. + + err := txn.Commit(context.Background()) +``` + +## Complete Example + +This is an example from the [GoDoc](https://godoc.org/github.com/dgraph-io/dgo). It shows how to to create a Node with name Alice, while also creating her relationships with other nodes. Note `loc` predicate is of type `geo` and can be easily marshalled and unmarshalled into a Go struct. More such examples are present as part of the GoDoc. + +```go +type School struct { + Name string `json:"name,omitempty"` + DType []string `json:"dgraph.type,omitempty"` +} + +type loc struct { + Type string `json:"type,omitempty"` + Coords []float64 `json:"coordinates,omitempty"` +} + +// If omitempty is not set, then edges with empty values (0 for int/float, "" for string, false +// for bool) would be created for values not specified explicitly. + +type Person struct { + Uid string `json:"uid,omitempty"` + Name string `json:"name,omitempty"` + Age int `json:"age,omitempty"` + Dob *time.Time `json:"dob,omitempty"` + Married bool `json:"married,omitempty"` + Raw []byte `json:"raw_bytes,omitempty"` + Friends []Person `json:"friend,omitempty"` + Location loc `json:"loc,omitempty"` + School []School `json:"school,omitempty"` + DType []string `json:"dgraph.type,omitempty"` +} + +conn, err := grpc.Dial("127.0.0.1:9080", grpc.WithInsecure()) +if err != nil { + log.Fatal("While trying to dial gRPC") +} +defer conn.Close() + +dc := api.NewDgraphClient(conn) +dg := dgo.NewDgraphClient(dc) + +op := &api.Operation{} +op.Schema = ` + name: string @index(exact) . + age: int . + married: bool . + loc: geo . + dob: datetime . + +type Person { + name + age + dob + married + raw + friends + loc + school + } + +type Loc { + type + coords + } + +type Institution { + name + } + +` + +ctx := context.Background() +err = dg.Alter(ctx, op) +if err != nil { + log.Fatal(err) +} + +dob := time.Date(1980, 01, 01, 23, 0, 0, 0, time.UTC) +// While setting an object if a struct has a Uid then its properties in the graph are updated +// else a new node is created. +// In the example below new nodes for Alice, Bob and Charlie and school are created (since they +// dont have a Uid). +p := Person{ + Uid: "_:alice", + Name: "Alice", + DType: []string{"Person"}, + Age: 26, + Married: true, + Location: loc{ + Type: "Point", + Coords: []float64{1.1, 2}, + }, + Dob: &dob, + Raw: []byte("raw_bytes"), + Friends: []Person{{ + Name: "Bob", + Age: 24, + }, { + Name: "Charlie", + Age: 29, + }}, + School: []School{{ + Name: "Crown Public School", + }}, +} + +mu := &api.Mutation{ + CommitNow: true, +} +pb, err := json.Marshal(p) +if err != nil { + log.Fatal(err) +} + +mu.SetJson = pb +assigned, err := dg.NewTxn().Mutate(ctx, mu) +if err != nil { + log.Fatal(err) +} + +// Assigned uids for nodes which were created would be returned in the resp.AssignedUids map. +variables := map[string]string{"$id": assigned.Uids["alice"]} +q := `query Me($id: string){ + me(func: uid($id)) { + name + dob + age + loc + raw_bytes + married + dgraph.type + friend @filter(eq(name, "Bob")){ + name + age + dgraph.type + } + school { + name + dgraph.type + } + } +}` + +resp, err := dg.NewTxn().QueryWithVars(ctx, q, variables) +if err != nil { + log.Fatal(err) +} + +type Root struct { + Me []Person `json:"me"` +} + +var r Root +err = json.Unmarshal(resp.Json, &r) +if err != nil { + log.Fatal(err) +} +// fmt.Printf("Me: %+v\n", r.Me) +// R.Me would be same as the person that we set above. + +fmt.Println(string(resp.Json)) +// Output: {"me":[{"name":"Alice","dob":"1980-01-01T23:00:00Z","age":26,"loc":{"type":"Point","coordinates":[1.1,2]},"raw_bytes":"cmF3X2J5dGVz","married":true,"dgraph.type":["Person"],"friend":[{"name":"Bob","age":24,"dgraph.type":["Person"]}],"school":[{"name":"Crown Public School","dgraph.type":["Institution"]}]}]} + + +``` diff --git a/wiki/content/clients/index.md b/wiki/content/clients/index.md deleted file mode 100644 index 4f9c3cd9efd..00000000000 --- a/wiki/content/clients/index.md +++ /dev/null @@ -1,953 +0,0 @@ -+++ -date = "2017-03-20T19:35:35+11:00" -title = "Clients" -+++ - -## Implementation - -Clients can communicate with the server in two different ways: - -- **Via [gRPC](http://www.grpc.io/).** Internally this uses [Protocol - Buffers](https://developers.google.com/protocol-buffers) (the proto file -used by Dgraph is located at -[api.proto](https://github.com/dgraph-io/dgo/blob/master/protos/api.proto)). - -- **Via HTTP.** There are various endpoints, each accepting and returning JSON. - There is a one to one correspondence between the HTTP endpoints and the gRPC -service methods. - - -It's possible to interface with Dgraph directly via gRPC or HTTP. However, if a -client library exists for you language, this will be an easier option. - -{{% notice "tip" %}} -For multi-node setups, predicates are assigned to the group that first sees that -predicate. Dgraph also automatically moves predicate data to different groups in -order to balance predicate distribution. This occurs automatically every 10 -minutes. It's possible for clients to aid this process by communicating with all -Dgraph instances. For the Go client, this means passing in one -`*grpc.ClientConn` per Dgraph instance. Mutations will be made in a round robin -fashion, resulting in an initially semi random predicate distribution. -{{% /notice %}} - -### Transactions - -Dgraph clients perform mutations and queries using transactions. A -transaction bounds a sequence of queries and mutations that are committed by -Dgraph as a single unit: that is, on commit, either all the changes are accepted -by Dgraph or none are. - -A transaction always sees the database state at the moment it began, plus any -changes it makes --- changes from concurrent transactions aren't visible. - -On commit, Dgraph will abort a transaction, rather than committing changes, when -a conflicting, concurrently running transaction has already been committed. Two -transactions conflict when both transactions: - -- write values to the same scalar predicate of the same node (e.g both - attempting to set a particular node's `address` predicate); or -- write to a singular `uid` predicate of the same node (changes to `[uid]` predicates can be concurrently written); or -- write a value that conflicts on an index for a predicate with `@upsert` set in the schema (see [upserts]({{< relref "howto/index.md#upserts">}})). - -When a transaction is aborted, all its changes are discarded. Transactions can be manually aborted. - -## Go - -[![GoDoc](https://godoc.org/github.com/dgraph-io/dgo?status.svg)](https://godoc.org/github.com/dgraph-io/dgo) - -The Go client communicates with the server on the gRPC port (default value 9080). - -The client can be obtained in the usual way via `go get`: - -```sh -# Requires at least Go 1.11 -export GO111MODULE=on -go get -u -v github.com/dgraph-io/dgo/v200 -``` - -The full [GoDoc](https://godoc.org/github.com/dgraph-io/dgo) contains -documentation for the client API along with examples showing how to use it. - -More details on the supported versions can be found at [this link](https://github.com/dgraph-io/dgo#supported-versions). - -### Create the client - -To create a client, dial a connection to Dgraph's external gRPC port (typically -9080). The following code snippet shows just one connection. You can connect to multiple Dgraph Alphas to distribute the workload evenly. - -```go -func newClient() *dgo.Dgraph { - // Dial a gRPC connection. The address to dial to can be configured when - // setting up the dgraph cluster. - d, err := grpc.Dial("localhost:9080", grpc.WithInsecure()) - if err != nil { - log.Fatal(err) - } - - return dgo.NewDgraphClient( - api.NewDgraphClient(d), - ) -} -``` - -The client can be configured to use gRPC compression: - -```go -func newClient() *dgo.Dgraph { - // Dial a gRPC connection. The address to dial to can be configured when - // setting up the dgraph cluster. - dialOpts := append([]grpc.DialOption{}, - grpc.WithInsecure(), - grpc.WithDefaultCallOptions(grpc.UseCompressor(gzip.Name))) - d, err := grpc.Dial("localhost:9080", dialOpts...) - - if err != nil { - log.Fatal(err) - } - - return dgo.NewDgraphClient( - api.NewDgraphClient(d), - ) -} - -``` - -### Alter the database - -To set the schema, set it on a `api.Operation` object, and pass it down to -the `Alter` method. - -```go -func setup(c *dgo.Dgraph) { - // Install a schema into dgraph. Accounts have a `name` and a `balance`. - err := c.Alter(context.Background(), &api.Operation{ - Schema: ` - name: string @index(term) . - balance: int . - `, - }) -} -``` - -`api.Operation` contains other fields as well, including drop predicate and drop -all. Drop all is useful if you wish to discard all the data, and start from a -clean slate, without bringing the instance down. - -```go - // Drop all data including schema from the dgraph instance. This is useful - // for small examples such as this, since it puts dgraph into a clean - // state. - err := c.Alter(context.Background(), &api.Operation{DropOp: api.Operation_ALL}) -``` - -The old way to send a drop all operation is still supported but will be eventually -deprecated. It's shown below for reference. - -```go - // Drop all data including schema from the dgraph instance. This is useful - // for small examples such as this, since it puts dgraph into a clean - // state. - err := c.Alter(context.Background(), &api.Operation{DropAll: true}) -``` - -Starting with version 1.1, `api.Operation` also supports a drop data operation. -This operation drops all the data but preserves the schema. This is useful when -the schema is large and needs to be reused, such as in between unit tests. - -```go - // Drop all data including schema from the dgraph instance. This is useful - // for small examples such as this, since it puts dgraph into a clean - // state. - err := c.Alter(context.Background(), &api.Operation{DropOp: api.Operation_DATA}) -``` - -### Create a transaction - -Dgraph supports running distributed ACID transactions. To create a -transaction, just call `c.NewTxn()`. This operation incurs no network call. -Typically, you'd also want to call a `defer txn.Discard()` to let it -automatically rollback in case of errors. Calling `Discard` after `Commit` would -be a no-op. - -```go -func runTxn(c *dgo.Dgraph) { - txn := c.NewTxn() - defer txn.Discard() - ... -} -``` - -#### Read-Only Transactions - -Read-only transactions can be created by calling `c.NewReadOnlyTxn()`. Read-only -transactions are useful to increase read speed because they can circumvent the -usual consensus protocol. Read-only transactions cannot contain mutations and -trying to call `txn.Commit()` will result in an error. Calling `txn.Discard()` -will be a no-op. - -Read-only queries can optionally be set as best-effort. Using this flag will ask -the Dgraph Alpha to try to get timestamps from memory on a best-effort basis to -reduce the number of outbound requests to Zero. This may yield improved -latencies in read-bound workloads where linearizable reads are not strictly -needed. - -### Run a query - -You can run a query by calling `txn.Query`. The response would contain a `JSON` -field, which has the JSON encoded result. You can unmarshal it into Go struct -via `json.Unmarshal`. - -```go - // Query the balance for Alice and Bob. - const q = ` - { - all(func: anyofterms(name, "Alice Bob")) { - uid - balance - } - } - ` - resp, err := txn.Query(context.Background(), q) - if err != nil { - log.Fatal(err) - } - - // After we get the balances, we have to decode them into structs so that - // we can manipulate the data. - var decode struct { - All []struct { - Uid string - Balance int - } - } - if err := json.Unmarshal(resp.GetJson(), &decode); err != nil { - log.Fatal(err) - } -``` - -### Run a mutation - -`txn.Mutate` would run the mutation. It takes in a `api.Mutation` object, -which provides two main ways to set data: JSON and RDF N-Quad. You can choose -whichever way is convenient. - -To use JSON, use the fields SetJson and DeleteJson, which accept a string -representing the nodes to be added or removed respectively (either as a JSON map -or a list). To use RDF, use the fields SetNquads and DeleteNquads, which accept -a string representing the valid RDF triples (one per line) to added or removed -respectively. This protobuf object also contains the Set and Del fields which -accept a list of RDF triples that have already been parsed into our internal -format. As such, these fields are mainly used internally and users should use -the SetNquads and DeleteNquads instead if they are planning on using RDF. - -We're going to continue using JSON. You could modify the Go structs parsed from -the query, and marshal them back into JSON. - -```go - // Move $5 between the two accounts. - decode.All[0].Bal += 5 - decode.All[1].Bal -= 5 - - out, err := json.Marshal(decode.All) - if err != nil { - log.Fatal(err) - } - - _, err := txn.Mutate(context.Background(), &api.Mutation{SetJson: out}) -``` - -Sometimes, you only want to commit mutation, without querying anything further. -In such cases, you can use a `CommitNow` field in `api.Mutation` to -indicate that the mutation must be immediately committed. - -### Commit the transaction - -Once all the queries and mutations are done, you can commit the transaction. It -returns an error in case the transaction could not be committed. - -```go - // Finally, we can commit the transactions. An error will be returned if - // other transactions running concurrently modify the same data that was - // modified in this transaction. It is up to the library user to retry - // transactions when they fail. - - err := txn.Commit(context.Background()) -``` - -### Complete Example - -This is an example from the [GoDoc](https://godoc.org/github.com/dgraph-io/dgo). It shows how to to create a Node with name Alice, while also creating her relationships with other nodes. Note `loc` predicate is of type `geo` and can be easily marshalled and unmarshalled into a Go struct. More such examples are present as part of the GoDoc. - -```go -type School struct { - Name string `json:"name,omitempty"` - DType []string `json:"dgraph.type,omitempty"` -} - -type loc struct { - Type string `json:"type,omitempty"` - Coords []float64 `json:"coordinates,omitempty"` -} - -// If omitempty is not set, then edges with empty values (0 for int/float, "" for string, false -// for bool) would be created for values not specified explicitly. - -type Person struct { - Uid string `json:"uid,omitempty"` - Name string `json:"name,omitempty"` - Age int `json:"age,omitempty"` - Dob *time.Time `json:"dob,omitempty"` - Married bool `json:"married,omitempty"` - Raw []byte `json:"raw_bytes,omitempty"` - Friends []Person `json:"friend,omitempty"` - Location loc `json:"loc,omitempty"` - School []School `json:"school,omitempty"` - DType []string `json:"dgraph.type,omitempty"` -} - -conn, err := grpc.Dial("127.0.0.1:9080", grpc.WithInsecure()) -if err != nil { - log.Fatal("While trying to dial gRPC") -} -defer conn.Close() - -dc := api.NewDgraphClient(conn) -dg := dgo.NewDgraphClient(dc) - -op := &api.Operation{} -op.Schema = ` - name: string @index(exact) . - age: int . - married: bool . - loc: geo . - dob: datetime . - -type Person { - name - age - dob - married - raw - friends - loc - school - } - -type Loc { - type - coords - } - -type Institution { - name - } - -` - -ctx := context.Background() -err = dg.Alter(ctx, op) -if err != nil { - log.Fatal(err) -} - -dob := time.Date(1980, 01, 01, 23, 0, 0, 0, time.UTC) -// While setting an object if a struct has a Uid then its properties in the graph are updated -// else a new node is created. -// In the example below new nodes for Alice, Bob and Charlie and school are created (since they -// dont have a Uid). -p := Person{ - Uid: "_:alice", - Name: "Alice", - DType: []string{"Person"}, - Age: 26, - Married: true, - Location: loc{ - Type: "Point", - Coords: []float64{1.1, 2}, - }, - Dob: &dob, - Raw: []byte("raw_bytes"), - Friends: []Person{{ - Name: "Bob", - Age: 24, - }, { - Name: "Charlie", - Age: 29, - }}, - School: []School{{ - Name: "Crown Public School", - }}, -} - -mu := &api.Mutation{ - CommitNow: true, -} -pb, err := json.Marshal(p) -if err != nil { - log.Fatal(err) -} - -mu.SetJson = pb -assigned, err := dg.NewTxn().Mutate(ctx, mu) -if err != nil { - log.Fatal(err) -} - -// Assigned uids for nodes which were created would be returned in the resp.AssignedUids map. -variables := map[string]string{"$id": assigned.Uids["alice"]} -q := `query Me($id: string){ - me(func: uid($id)) { - name - dob - age - loc - raw_bytes - married - dgraph.type - friend @filter(eq(name, "Bob")){ - name - age - dgraph.type - } - school { - name - dgraph.type - } - } -}` - -resp, err := dg.NewTxn().QueryWithVars(ctx, q, variables) -if err != nil { - log.Fatal(err) -} - -type Root struct { - Me []Person `json:"me"` -} - -var r Root -err = json.Unmarshal(resp.Json, &r) -if err != nil { - log.Fatal(err) -} -// fmt.Printf("Me: %+v\n", r.Me) -// R.Me would be same as the person that we set above. - -fmt.Println(string(resp.Json)) -// Output: {"me":[{"name":"Alice","dob":"1980-01-01T23:00:00Z","age":26,"loc":{"type":"Point","coordinates":[1.1,2]},"raw_bytes":"cmF3X2J5dGVz","married":true,"dgraph.type":["Person"],"friend":[{"name":"Bob","age":24,"dgraph.type":["Person"]}],"school":[{"name":"Crown Public School","dgraph.type":["Institution"]}]}]} - - -``` - -## C\# - -The official C# client [can be found here](https://github.com/dgraph-io/dgraph.net). -Follow the instructions in the [README](https://github.com/dgraph-io/dgraph.net#readme) to get -it up and running. - -More details on the supported versions can be found at -[this link](https://github.com/dgraph-io/dgraph.net#supported-versions). - -## Java - -The official Java client [can be found here](https://github.com/dgraph-io/dgraph4j). -Follow the instructions in the [README](https://github.com/dgraph-io/dgraph4j#readme) to get it up and running. - -More details on the supported versions can be found at [this link](https://github.com/dgraph-io/dgraph4j#supported-versions). - -We also have a [DgraphJavaSample] project, which contains an end-to-end -working example of how to use the Java client. - -[DgraphJavaSample]:https://github.com/dgraph-io/dgraph4j/tree/master/samples/DgraphJavaSample - -## JavaScript - -### gRPC - -The official JavaScript gRPC client [can be found here](https://github.com/dgraph-io/dgraph-js). -Follow the instructions in the [README](https://github.com/dgraph-io/dgraph-js#readme) to get it up and running. - -More details on the supported versions can be found at [this link](https://github.com/dgraph-io/dgraph-js#supported-versions). - -We also have a [simple example](https://github.com/dgraph-io/dgraph-js/tree/master/examples/simple) -project, which contains an end-to-end working example of how to use the JavaScript gRPC client, -for Node.js >= v6. - -### HTTP - -The official JavaScript HTTP client [can be found here](https://github.com/dgraph-io/dgraph-js-http). -Follow the instructions in the [README](https://github.com/dgraph-io/dgraph-js-http#readme) to get it up and running. - -More details on the supported versions can be found at [this link](https://github.com/dgraph-io/dgraph-js-http#supported-versions). - -We also have a [simple example](https://github.com/dgraph-io/dgraph-js-http/tree/master/examples/simple) -project, which contains an end-to-end working example of how to use the JavaScript HTTP client, -for Node.js >= v6. - -## Python - -The official Python client [can be found here](https://github.com/dgraph-io/pydgraph). -Follow the instructions in the [README](https://github.com/dgraph-io/pydgraph#readme) to get it -up and running. - -More details on the supported versions can be found at [this link](https://github.com/dgraph-io/pydgraph#supported-versions). - -We also have a [simple example](https://github.com/dgraph-io/pydgraph/tree/master/examples/simple) -project, which contains an end-to-end working example of how to use the Python client. - -## Unofficial Dgraph Clients - -{{% notice "note" %}} -These third-party clients are contributed by the community and are not officially supported by Dgraph. -{{% /notice %}} - -### C\# - -- https://github.com/AlexandreDaSilva/DgraphNet - -### Dart - -- https://github.com/marceloneppel/dgraph - -### Elixir - -- https://github.com/liveforeverx/dlex -- https://github.com/ospaarmann/exdgraph - -### JavaScript - -- https://github.com/ashokvishwakarma/dgraph-orm -- https://github.com/gverse/gverse - -### Rust - -- https://github.com/Swoorup/dgraph-rs -- https://github.com/selmeci/dgraph-tonic - -### Apache Spark Connector - -- https://github.com/G-Research/spark-dgraph-connector - -## Raw HTTP - -{{% notice "warning" %}} -Raw HTTP needs more chops to use than our language clients. We wrote this guide to help you build a Dgraph client in a new language. -{{% /notice %}} - -It's also possible to interact with Dgraph directly via its HTTP endpoints. -This allows clients to be built for languages that don't have access to a -working gRPC implementation. - -In the examples shown here, regular command line tools such as `curl` and -[`jq`](https://stedolan.github.io/jq/) are used. However, the real intention -here is to show other programmers how they could implement a client in their -language on top of the HTTP API. For an example of how to build a client on top -of gRPC, refer to the implementation of the Go client. - -Similar to the Go client example, we use a bank account transfer example. - -### Create the Client - -A client built on top of the HTTP API will need to track three pieces of state -for each transaction. - -1. A start timestamp (`start_ts`). This uniquely identifies a transaction, - and doesn't change over the transaction lifecycle. - -2. The set of keys modified by the transaction (`keys`). This aids in - transaction conflict detection. - - Every mutation would send back a new set of keys. The client must merge them - with the existing set. Optionally, a client can de-dup these keys while - merging. - -3. The set of predicates modified by the transaction (`preds`). This aids in - predicate move detection. - - Every mutation would send back a new set of preds. The client must merge them - with the existing set. Optionally, a client can de-dup these keys while - merging. - -### Alter the database - -The `/alter` endpoint is used to create or change the schema. Here, the -predicate `name` is the name of an account. It's indexed so that we can look up -accounts based on their name. - -```sh -$ curl -X POST localhost:8080/alter -d \ -'name: string @index(term) . -type Person { - name -}' -``` - -If all goes well, the response should be `{"code":"Success","message":"Done"}`. - -Other operations can be performed via the `/alter` endpoint as well. A specific -predicate or the entire database can be dropped. - -To drop the predicate `name`: - -```sh -$ curl -X POST localhost:8080/alter -d '{"drop_attr": "name"}' -``` - -To drop the type `Film`: -```sh -$ curl -X POST localhost:8080/alter -d '{"drop_op": "TYPE", "drop_value": "Film"}' -``` - -To drop all data and schema: -```sh -$ curl -X POST localhost:8080/alter -d '{"drop_all": true}' -``` - -To drop all data only (keep schema): -```sh -$ curl -X POST localhost:8080/alter -d '{"drop_op": "DATA"}' -``` - -### Start a transaction - -Assume some initial accounts with balances have been populated. We now want to -transfer money from one account to the other. This is done in four steps: - -1. Create a new transaction. - -1. Inside the transaction, run a query to determine the current balances. - -2. Perform a mutation to update the balances. - -3. Commit the transaction. - -Starting a transaction doesn't require any interaction with Dgraph itself. -Some state needs to be set up for the transaction to use. The `start_ts` -can initially be set to 0. `keys` can start as an empty set. - -**For both query and mutation if the `start_ts` is provided as a path parameter, -then the operation is performed as part of the ongoing transaction. Otherwise, a -new transaction is initiated.** - -### Run a query - -To query the database, the `/query` endpoint is used. Remember to set the `Content-Type` header -to `application/graphql+-` in order to ensure that the body of the request is correctly parsed. - -To get the balances for both accounts: - -```sh -$ curl -H "Content-Type: application/graphql+-" -X POST localhost:8080/query -d $' -{ - balances(func: anyofterms(name, "Alice Bob")) { - uid - name - balance - } -}' | jq - -``` - -The result should look like this: - -```json -{ - "data": { - "balances": [ - { - "uid": "0x1", - "name": "Alice", - "balance": "100" - }, - { - "uid": "0x2", - "name": "Bob", - "balance": "70" - } - ] - }, - "extensions": { - "server_latency": { - "parsing_ns": 70494, - "processing_ns": 697140, - "encoding_ns": 1560151 - }, - "txn": { - "start_ts": 4, - } - } -} -``` - -Notice that along with the query result under the `data` field is additional -data in the `extensions -> txn` field. This data will have to be tracked by the -client. - -For queries, there is a `start_ts` in the response. This `start_ts` will need to -be used in all subsequent interactions with Dgraph for this transaction, and so -should become part of the transaction state. - -### Run a Mutation - -Now that we have the current balances, we need to send a mutation to Dgraph -with the updated balances. If Bob transfers $10 to Alice, then the RDFs to send -are: - -``` -<0x1> "110" . -<0x1> "Balance" . -<0x2> "60" . -<0x2> "Balance" . -``` - -Note that we have to refer to the Alice and Bob nodes by UID in the RDF format. - -We now send the mutations via the `/mutate` endpoint. We need to provide our -transaction start timestamp as a path parameter, so that Dgraph knows which -transaction the mutation should be part of. We also need to set `Content-Type` -header to `application/rdf` in order to specify that mutation is written in -rdf format. - -```sh -$ curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?startTs=4 -d $' -{ - set { - <0x1> "110" . - <0x1> "Balance" . - <0x2> "60" . - <0x2> "Balance" . - } -} -' | jq -``` - -The result: - -```json -{ - "data": { - "code": "Success", - "message": "Done", - "uids": {} - }, - "extensions": { - "server_latency": { - "parsing_ns": 50901, - "processing_ns": 14631082 - }, - "txn": { - "start_ts": 4, - "keys": [ - "2ahy9oh4s9csc", - "3ekeez23q5149" - ], - "preds": [ - "1-balance" - ] - } - } -} -``` - -We get some `keys`. These should be added to the set of `keys` stored in the -transaction state. We also get some `preds`, which should be added to the set of -`preds` stored in the transaction state. - -### Committing the transaction - -{{% notice "note" %}} -It's possible to commit immediately after a mutation is made (without requiring -to use the `/commit` endpoint as explained in this section). To do this, add -the parameter `commitNow` in the URL `/mutate?commitNow=true`. -{{% /notice %}} - -Finally, we can commit the transaction using the `/commit` endpoint. We need the -`start_ts` we've been using for the transaction along with the `keys` and the -`preds`. If we had performed multiple mutations in the transaction instead of -just one, then the keys and preds provided during the commit would be the union -of all keys and preds returned in the responses from the `/mutate` endpoint. - -The `preds` field is used to abort the transaction in cases where some of the -predicates are moved. This field is not required and the `/commit` endpoint also -accepts the old format, which was a single array of keys. - -```sh -$ curl -X POST localhost:8080/commit?startTs=4 -d $' -{ - "keys": [ - "2ahy9oh4s9csc", - "3ekeez23q5149" - ], - "preds": [ - "1-balance" - ] -}' | jq -``` - -The result: - -```json -{ - "data": { - "code": "Success", - "message": "Done" - }, - "extensions": { - "txn": { - "start_ts": 4, - "commit_ts": 5 - } - } -} -``` -The transaction is now complete. - -If another client were to perform another transaction concurrently affecting -the same keys, then it's possible that the transaction would *not* be -successful. This is indicated in the response when the commit is attempted. - -```json -{ - "errors": [ - { - "code": "Error", - "message": "Transaction has been aborted. Please retry." - } - ] -} -``` - -In this case, it should be up to the user of the client to decide if they wish -to retry the transaction. - -### Aborting the transaction -To abort a transaction, use the same `/commit` endpoint with the `abort=true` parameter -while specifying the `startTs` value for the transaction. - -```sh -$ curl -X POST "localhost:8080/commit?startTs=4&abort=true" | jq -``` - -The result: - -```json -{ - "code": "Success", - "message": "Done" -} -``` - -### Running read-only queries - -You can set the query parameter `ro=true` to `/query` to set it as a -[read-only]({{< relref "#read-only-transactions" >}}) query. - - -```sh -$ curl -H "Content-Type: application/graphql+-" -X POST "localhost:8080/query?ro=true" -d $' -{ - balances(func: anyofterms(name, "Alice Bob")) { - uid - name - balance - } -} -``` - -### Running best-effort queries - -You can set the query parameter `be=true` to `/query` to set it as a -[best-effort]({{< relref "#read-only-transactions" >}}) query. - - -```sh -$ curl -H "Content-Type: application/graphql+-" -X POST "localhost:8080/query?be=true" -d $' -{ - balances(func: anyofterms(name, "Alice Bob")) { - uid - name - balance - } -} -``` - -### Compression via HTTP - -Dgraph supports gzip-compressed requests to and from Dgraph Alphas for `/query`, `/mutate`, and `/alter`. - -Compressed requests: To send compressed requests, set the HTTP request header -`Content-Encoding: gzip` along with the gzip-compressed payload. - -Compressed responses: To receive gzipped responses, set the HTTP request header -`Accept-Encoding: gzip` and Alpha will return gzipped responses. - -Example of a compressed request via curl: - -```sh -$ curl -X POST \ - -H 'Content-Encoding: gzip' \ - -H "Content-Type: application/rdf" \ - localhost:8080/mutate?commitNow=true --data-binary @mutation.gz -``` - -Example of a compressed request via curl: - -```sh -$ curl -X POST \ - -H 'Accept-Encoding: gzip' \ - -H "Content-Type: application/graphql+-" \ - localhost:8080/query -d $'schema {}' | gzip --decompress -``` - -Example of a compressed request and response via curl: - -```sh -$ zcat query.gz # query.gz is gzipped compressed -{ - all(func: anyofterms(name, "Alice Bob")) { - uid - balance - } -} -``` - -```sh -$ curl -X POST \ - -H 'Content-Encoding: gzip' \ - -H 'Accept-Encoding: gzip' \ - -H "Content-Type: application/graphql+-" \ - localhost:8080/query --data-binary @query.gz | gzip --decompress -``` - -{{% notice "note" %}} -Curl has a `--compressed` option that automatically requests for a compressed response (`Accept-Encoding` header) and decompresses the compressed response. - -```sh -$ curl -X POST --compressed -H "Content-Type: application/graphql+-" localhost:8080/query -d $'schema {}' -``` -{{% /notice %}} - - -### Run a query in JSON format - -The HTTP API also accepts requests in JSON format. For queries you have the keys "query" and "variables". The JSON format is required to set [GraphQL Variables]({{< relref "query-language/index.md#graphql-variables" >}}) with the HTTP API. - -This query: - -``` -{ - balances(func: anyofterms(name, "Alice Bob")) { - uid - name - balance - } -} -``` - -Should be escaped to this: - -```sh -curl -H "Content-Type: application/json" localhost:8080/query -XPOST -d '{ - "query": "{\n balances(func: anyofterms(name, \"Alice Bob\")) {\n uid\n name\n balance\n }\n }" -}' | python -m json.tool | jq -``` diff --git a/wiki/content/clients/java.md b/wiki/content/clients/java.md new file mode 100644 index 00000000000..fdf049c5302 --- /dev/null +++ b/wiki/content/clients/java.md @@ -0,0 +1,17 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Java" +[menu.main] + parent = "clients" + weight = 4 ++++ + +The official Java client [can be found here](https://github.com/dgraph-io/dgraph4j). +Follow the instructions in the [README](https://github.com/dgraph-io/dgraph4j#readme) to get it up and running. + +More details on the supported versions can be found at [this link](https://github.com/dgraph-io/dgraph4j#supported-versions). + +We also have a [DgraphJavaSample] project, which contains an end-to-end +working example of how to use the Java client. + +[DgraphJavaSample]:https://github.com/dgraph-io/dgraph4j/tree/master/samples/DgraphJavaSample diff --git a/wiki/content/clients/javascript.md b/wiki/content/clients/javascript.md new file mode 100644 index 00000000000..74cf59d3d4a --- /dev/null +++ b/wiki/content/clients/javascript.md @@ -0,0 +1,29 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "JavaScript" +[menu.main] + parent = "clients" + weight = 5 ++++ + +## gRPC + +The official JavaScript gRPC client [can be found here](https://github.com/dgraph-io/dgraph-js). +Follow the instructions in the [README](https://github.com/dgraph-io/dgraph-js#readme) to get it up and running. + +More details on the supported versions can be found at [this link](https://github.com/dgraph-io/dgraph-js#supported-versions). + +We also have a [simple example](https://github.com/dgraph-io/dgraph-js/tree/master/examples/simple) +project, which contains an end-to-end working example of how to use the JavaScript gRPC client, +for Node.js >= v6. + +## HTTP + +The official JavaScript HTTP client [can be found here](https://github.com/dgraph-io/dgraph-js-http). +Follow the instructions in the [README](https://github.com/dgraph-io/dgraph-js-http#readme) to get it up and running. + +More details on the supported versions can be found at [this link](https://github.com/dgraph-io/dgraph-js-http#supported-versions). + +We also have a [simple example](https://github.com/dgraph-io/dgraph-js-http/tree/master/examples/simple) +project, which contains an end-to-end working example of how to use the JavaScript HTTP client, +for Node.js >= v6. \ No newline at end of file diff --git a/wiki/content/clients/overview.md b/wiki/content/clients/overview.md new file mode 100644 index 00000000000..8c32a7b9b16 --- /dev/null +++ b/wiki/content/clients/overview.md @@ -0,0 +1,55 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Overview" +[menu.main] + parent = "clients" + weight = 1 ++++ + +## Implementation + +Clients can communicate with the server in two different ways: + +- **Via [gRPC](http://www.grpc.io/).** Internally this uses [Protocol + Buffers](https://developers.google.com/protocol-buffers) (the proto file +used by Dgraph is located at +[api.proto](https://github.com/dgraph-io/dgo/blob/master/protos/api.proto)). + +- **Via HTTP.** There are various endpoints, each accepting and returning JSON. + There is a one to one correspondence between the HTTP endpoints and the gRPC +service methods. + + +It's possible to interface with Dgraph directly via gRPC or HTTP. However, if a +client library exists for you language, this will be an easier option. + +{{% notice "tip" %}} +For multi-node setups, predicates are assigned to the group that first sees that +predicate. Dgraph also automatically moves predicate data to different groups in +order to balance predicate distribution. This occurs automatically every 10 +minutes. It's possible for clients to aid this process by communicating with all +Dgraph instances. For the Go client, this means passing in one +`*grpc.ClientConn` per Dgraph instance. Mutations will be made in a round robin +fashion, resulting in an initially semi random predicate distribution. +{{% /notice %}} + +### Transactions + +Dgraph clients perform mutations and queries using transactions. A +transaction bounds a sequence of queries and mutations that are committed by +Dgraph as a single unit: that is, on commit, either all the changes are accepted +by Dgraph or none are. + +A transaction always sees the database state at the moment it began, plus any +changes it makes --- changes from concurrent transactions aren't visible. + +On commit, Dgraph will abort a transaction, rather than committing changes, when +a conflicting, concurrently running transaction has already been committed. Two +transactions conflict when both transactions: + +- write values to the same scalar predicate of the same node (e.g both + attempting to set a particular node's `address` predicate); or +- write to a singular `uid` predicate of the same node (changes to `[uid]` predicates can be concurrently written); or +- write a value that conflicts on an index for a predicate with `@upsert` set in the schema (see [upserts]({{< relref "howto/upserts.md">}})). + +When a transaction is aborted, all its changes are discarded. Transactions can be manually aborted. \ No newline at end of file diff --git a/wiki/content/clients/python.md b/wiki/content/clients/python.md new file mode 100644 index 00000000000..c0b9fbfce9b --- /dev/null +++ b/wiki/content/clients/python.md @@ -0,0 +1,16 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Python" +[menu.main] + parent = "clients" + weight = 6 ++++ + +The official Python client [can be found here](https://github.com/dgraph-io/pydgraph). +Follow the instructions in the [README](https://github.com/dgraph-io/pydgraph#readme) to get it +up and running. + +More details on the supported versions can be found at [this link](https://github.com/dgraph-io/pydgraph#supported-versions). + +We also have a [simple example](https://github.com/dgraph-io/pydgraph/tree/master/examples/simple) +project, which contains an end-to-end working example of how to use the Python client. diff --git a/wiki/content/clients/raw-http.md b/wiki/content/clients/raw-http.md new file mode 100644 index 00000000000..3bd38f09992 --- /dev/null +++ b/wiki/content/clients/raw-http.md @@ -0,0 +1,429 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Raw HTTP" +[menu.main] + parent = "clients" + weight = 8 ++++ + +{{% notice "warning" %}} +Raw HTTP needs more chops to use than our language clients. We wrote this guide to help you build a Dgraph client in a new language. +{{% /notice %}} + +It's also possible to interact with Dgraph directly via its HTTP endpoints. +This allows clients to be built for languages that don't have access to a +working gRPC implementation. + +In the examples shown here, regular command line tools such as `curl` and +[`jq`](https://stedolan.github.io/jq/) are used. However, the real intention +here is to show other programmers how they could implement a client in their +language on top of the HTTP API. For an example of how to build a client on top +of gRPC, refer to the implementation of the Go client. + +Similar to the Go client example, we use a bank account transfer example. + +## Create the Client + +A client built on top of the HTTP API will need to track three pieces of state +for each transaction. + +1. A start timestamp (`start_ts`). This uniquely identifies a transaction, + and doesn't change over the transaction lifecycle. + +2. The set of keys modified by the transaction (`keys`). This aids in + transaction conflict detection. + + Every mutation would send back a new set of keys. The client must merge them + with the existing set. Optionally, a client can de-dup these keys while + merging. + +3. The set of predicates modified by the transaction (`preds`). This aids in + predicate move detection. + + Every mutation would send back a new set of preds. The client must merge them + with the existing set. Optionally, a client can de-dup these keys while + merging. + +## Alter the database + +The `/alter` endpoint is used to create or change the schema. Here, the +predicate `name` is the name of an account. It's indexed so that we can look up +accounts based on their name. + +```sh +$ curl -X POST localhost:8080/alter -d \ +'name: string @index(term) . +type Person { + name +}' +``` + +If all goes well, the response should be `{"code":"Success","message":"Done"}`. + +Other operations can be performed via the `/alter` endpoint as well. A specific +predicate or the entire database can be dropped. + +To drop the predicate `name`: + +```sh +$ curl -X POST localhost:8080/alter -d '{"drop_attr": "name"}' +``` + +To drop the type `Film`: +```sh +$ curl -X POST localhost:8080/alter -d '{"drop_op": "TYPE", "drop_value": "Film"}' +``` + +To drop all data and schema: +```sh +$ curl -X POST localhost:8080/alter -d '{"drop_all": true}' +``` + +To drop all data only (keep schema): +```sh +$ curl -X POST localhost:8080/alter -d '{"drop_op": "DATA"}' +``` + +## Start a transaction + +Assume some initial accounts with balances have been populated. We now want to +transfer money from one account to the other. This is done in four steps: + +1. Create a new transaction. + +1. Inside the transaction, run a query to determine the current balances. + +2. Perform a mutation to update the balances. + +3. Commit the transaction. + +Starting a transaction doesn't require any interaction with Dgraph itself. +Some state needs to be set up for the transaction to use. The `start_ts` +can initially be set to 0. `keys` can start as an empty set. + +**For both query and mutation if the `start_ts` is provided as a path parameter, +then the operation is performed as part of the ongoing transaction. Otherwise, a +new transaction is initiated.** + +## Run a query + +To query the database, the `/query` endpoint is used. Remember to set the `Content-Type` header +to `application/graphql+-` in order to ensure that the body of the request is correctly parsed. + +To get the balances for both accounts: + +```sh +$ curl -H "Content-Type: application/graphql+-" -X POST localhost:8080/query -d $' +{ + balances(func: anyofterms(name, "Alice Bob")) { + uid + name + balance + } +}' | jq + +``` + +The result should look like this: + +```json +{ + "data": { + "balances": [ + { + "uid": "0x1", + "name": "Alice", + "balance": "100" + }, + { + "uid": "0x2", + "name": "Bob", + "balance": "70" + } + ] + }, + "extensions": { + "server_latency": { + "parsing_ns": 70494, + "processing_ns": 697140, + "encoding_ns": 1560151 + }, + "txn": { + "start_ts": 4, + } + } +} +``` + +Notice that along with the query result under the `data` field is additional +data in the `extensions -> txn` field. This data will have to be tracked by the +client. + +For queries, there is a `start_ts` in the response. This `start_ts` will need to +be used in all subsequent interactions with Dgraph for this transaction, and so +should become part of the transaction state. + +## Run a Mutation + +Now that we have the current balances, we need to send a mutation to Dgraph +with the updated balances. If Bob transfers $10 to Alice, then the RDFs to send +are: + +``` +<0x1> "110" . +<0x1> "Balance" . +<0x2> "60" . +<0x2> "Balance" . +``` + +Note that we have to refer to the Alice and Bob nodes by UID in the RDF format. + +We now send the mutations via the `/mutate` endpoint. We need to provide our +transaction start timestamp as a path parameter, so that Dgraph knows which +transaction the mutation should be part of. We also need to set `Content-Type` +header to `application/rdf` in order to specify that mutation is written in +rdf format. + +```sh +$ curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?startTs=4 -d $' +{ + set { + <0x1> "110" . + <0x1> "Balance" . + <0x2> "60" . + <0x2> "Balance" . + } +} +' | jq +``` + +The result: + +```json +{ + "data": { + "code": "Success", + "message": "Done", + "uids": {} + }, + "extensions": { + "server_latency": { + "parsing_ns": 50901, + "processing_ns": 14631082 + }, + "txn": { + "start_ts": 4, + "keys": [ + "2ahy9oh4s9csc", + "3ekeez23q5149" + ], + "preds": [ + "1-balance" + ] + } + } +} +``` + +We get some `keys`. These should be added to the set of `keys` stored in the +transaction state. We also get some `preds`, which should be added to the set of +`preds` stored in the transaction state. + +## Committing the transaction + +{{% notice "note" %}} +It's possible to commit immediately after a mutation is made (without requiring +to use the `/commit` endpoint as explained in this section). To do this, add +the parameter `commitNow` in the URL `/mutate?commitNow=true`. +{{% /notice %}} + +Finally, we can commit the transaction using the `/commit` endpoint. We need the +`start_ts` we've been using for the transaction along with the `keys` and the +`preds`. If we had performed multiple mutations in the transaction instead of +just one, then the keys and preds provided during the commit would be the union +of all keys and preds returned in the responses from the `/mutate` endpoint. + +The `preds` field is used to abort the transaction in cases where some of the +predicates are moved. This field is not required and the `/commit` endpoint also +accepts the old format, which was a single array of keys. + +```sh +$ curl -X POST localhost:8080/commit?startTs=4 -d $' +{ + "keys": [ + "2ahy9oh4s9csc", + "3ekeez23q5149" + ], + "preds": [ + "1-balance" + ] +}' | jq +``` + +The result: + +```json +{ + "data": { + "code": "Success", + "message": "Done" + }, + "extensions": { + "txn": { + "start_ts": 4, + "commit_ts": 5 + } + } +} +``` +The transaction is now complete. + +If another client were to perform another transaction concurrently affecting +the same keys, then it's possible that the transaction would *not* be +successful. This is indicated in the response when the commit is attempted. + +```json +{ + "errors": [ + { + "code": "Error", + "message": "Transaction has been aborted. Please retry." + } + ] +} +``` + +In this case, it should be up to the user of the client to decide if they wish +to retry the transaction. + +## Aborting the transaction +To abort a transaction, use the same `/commit` endpoint with the `abort=true` parameter +while specifying the `startTs` value for the transaction. + +```sh +$ curl -X POST "localhost:8080/commit?startTs=4&abort=true" | jq +``` + +The result: + +```json +{ + "code": "Success", + "message": "Done" +} +``` + +## Running read-only queries + +You can set the query parameter `ro=true` to `/query` to set it as a +[read-only]({{< relref "#read-only-transactions" >}}) query. + + +```sh +$ curl -H "Content-Type: application/graphql+-" -X POST "localhost:8080/query?ro=true" -d $' +{ + balances(func: anyofterms(name, "Alice Bob")) { + uid + name + balance + } +} +``` + +## Running best-effort queries + +You can set the query parameter `be=true` to `/query` to set it as a +[best-effort]({{< relref "#read-only-transactions" >}}) query. + + +```sh +$ curl -H "Content-Type: application/graphql+-" -X POST "localhost:8080/query?be=true" -d $' +{ + balances(func: anyofterms(name, "Alice Bob")) { + uid + name + balance + } +} +``` + +## Compression via HTTP + +Dgraph supports gzip-compressed requests to and from Dgraph Alphas for `/query`, `/mutate`, and `/alter`. + +Compressed requests: To send compressed requests, set the HTTP request header +`Content-Encoding: gzip` along with the gzip-compressed payload. + +Compressed responses: To receive gzipped responses, set the HTTP request header +`Accept-Encoding: gzip` and Alpha will return gzipped responses. + +Example of a compressed request via curl: + +```sh +$ curl -X POST \ + -H 'Content-Encoding: gzip' \ + -H "Content-Type: application/rdf" \ + localhost:8080/mutate?commitNow=true --data-binary @mutation.gz +``` + +Example of a compressed request via curl: + +```sh +$ curl -X POST \ + -H 'Accept-Encoding: gzip' \ + -H "Content-Type: application/graphql+-" \ + localhost:8080/query -d $'schema {}' | gzip --decompress +``` + +Example of a compressed request and response via curl: + +```sh +$ zcat query.gz # query.gz is gzipped compressed +{ + all(func: anyofterms(name, "Alice Bob")) { + uid + balance + } +} +``` + +```sh +$ curl -X POST \ + -H 'Content-Encoding: gzip' \ + -H 'Accept-Encoding: gzip' \ + -H "Content-Type: application/graphql+-" \ + localhost:8080/query --data-binary @query.gz | gzip --decompress +``` + +{{% notice "note" %}} +Curl has a `--compressed` option that automatically requests for a compressed response (`Accept-Encoding` header) and decompresses the compressed response. + +```sh +$ curl -X POST --compressed -H "Content-Type: application/graphql+-" localhost:8080/query -d $'schema {}' +``` +{{% /notice %}} + + +## Run a query in JSON format + +The HTTP API also accepts requests in JSON format. For queries you have the keys "query" and "variables". The JSON format is required to set [GraphQL Variables]({{< relref "query-language/graphql-variables.md" >}}) with the HTTP API. + +This query: + +``` +{ + balances(func: anyofterms(name, "Alice Bob")) { + uid + name + balance + } +} +``` + +Should be escaped to this: + +```sh +curl -H "Content-Type: application/json" localhost:8080/query -XPOST -d '{ + "query": "{\n balances(func: anyofterms(name, \"Alice Bob\")) {\n uid\n name\n balance\n }\n }" +}' | python -m json.tool | jq +``` diff --git a/wiki/content/clients/unofficial-clients.md b/wiki/content/clients/unofficial-clients.md new file mode 100644 index 00000000000..36f50bc6540 --- /dev/null +++ b/wiki/content/clients/unofficial-clients.md @@ -0,0 +1,38 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Unofficial Dgraph Clients" +[menu.main] + parent = "clients" + weight = 7 ++++ + +{{% notice "note" %}} +These third-party clients are contributed by the community and are not officially supported by Dgraph. +{{% /notice %}} + +## C\# + +- https://github.com/AlexandreDaSilva/DgraphNet + +## Dart + +- https://github.com/marceloneppel/dgraph + +## Elixir + +- https://github.com/liveforeverx/dlex +- https://github.com/ospaarmann/exdgraph + +## JavaScript + +- https://github.com/ashokvishwakarma/dgraph-orm +- https://github.com/gverse/gverse + +## Rust + +- https://github.com/Swoorup/dgraph-rs +- https://github.com/selmeci/dgraph-tonic + +## Apache Spark Connector + +- https://github.com/G-Research/spark-dgraph-connector \ No newline at end of file diff --git a/wiki/content/deploy/_index.md b/wiki/content/deploy/_index.md index e69de29bb2d..aac5e0f3b31 100644 --- a/wiki/content/deploy/_index.md +++ b/wiki/content/deploy/_index.md @@ -0,0 +1,15 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Deploy" +[menu.main] + url = "/deploy/" + identifier = "deploy" + weight = 8 ++++ + +This page talks about running Dgraph in various deployment modes, in a distributed fashion and involves +running multiple instances of Dgraph, over multiple servers in a cluster. + +## See Also + +* [Product Roadmap 2020](https://github.com/dgraph-io/dgraph/issues/4724) diff --git a/wiki/content/deploy/cluster-checklist.md b/wiki/content/deploy/cluster-checklist.md new file mode 100644 index 00000000000..44e3a18595d --- /dev/null +++ b/wiki/content/deploy/cluster-checklist.md @@ -0,0 +1,17 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Cluster Checklist" +[menu.main] + parent = "deploy" + weight = 11 ++++ + +In setting up a cluster be sure the check the following. + +* Is at least one Dgraph Zero node running? +* Is each Dgraph Alpha instance in the cluster set up correctly? +* Will each Dgraph Alpha instance be accessible to all peers on 7080 (+ any port offset)? +* Does each instance have a unique ID on startup? +* Has `--bindall=true` been set for networked communication? + +See the [Production Checklist]({{< relref "#production-checklist" >}}) docs for more info. \ No newline at end of file diff --git a/wiki/content/deploy/cluster-setup.md b/wiki/content/deploy/cluster-setup.md new file mode 100644 index 00000000000..0b0a85f145e --- /dev/null +++ b/wiki/content/deploy/cluster-setup.md @@ -0,0 +1,53 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Cluster Setup" +[menu.main] + parent = "deploy" + weight = 3 ++++ + +{{% notice "tip" %}} +For a single server setup, recommended for new users, please see [Get Started]({{< relref "get-started/index.md" >}}) page. +{{% /notice %}} + +## Understanding Dgraph cluster + +Dgraph is a truly distributed graph database - not a master-slave replication of +universal dataset. It shards by predicate and replicates predicates across the +cluster, queries can be run on any node and joins are handled over the +distributed data. A query is resolved locally for predicates the node stores, +and via distributed joins for predicates stored on other nodes. + +For effectively running a Dgraph cluster, it's important to understand how +sharding, replication and rebalancing works. + +### Sharding + +Dgraph colocates data per predicate (* P *, in RDF terminology), thus the +smallest unit of data is one predicate. To shard the graph, one or many +predicates are assigned to a group. Each Alpha node in the cluster serves a +single group. Dgraph Zero assigns a group to each Alpha node. + +### Shard rebalancing + +Dgraph Zero tries to rebalance the cluster based on the disk usage in each +group. If Zero detects an imbalance, it would try to move a predicate along with +its indices to a group that has minimum disk usage. This can make the predicate +temporarily read-only. Queries for the predicate will still be serviced, but any +mutations for the predicate will be rejected and should be retried after the +move is finished. + +Zero would continuously try to keep the amount of data on each server even, +typically running this check on a 10-min frequency. Thus, each additional +Dgraph Alpha instance would allow Zero to further split the predicates from +groups and move them to the new node. + +### Consistent Replication + +If `--replicas` flag is set to something greater than one, Zero would assign the +same group to multiple nodes. These nodes would then form a Raft group aka +quorum. Every write would be consistently replicated to the quorum. To achieve +consensus, its important that the size of quorum be an odd number. Therefore, we +recommend setting `--replicas` to 1, 3 or 5 (not 2 or 4). This allows 0, 1, or 2 +nodes serving the same group to be down, respectively without affecting the +overall health of that group. diff --git a/wiki/content/deploy/config.md b/wiki/content/deploy/config.md new file mode 100644 index 00000000000..3b3af7bc3f3 --- /dev/null +++ b/wiki/content/deploy/config.md @@ -0,0 +1,98 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Config" +[menu.main] + parent = "deploy" + weight = 2 ++++ + +{{% notice "tip" %}} +For a single server setup, recommended for new users, please see [Get Started]({{< relref "get-started/index.md" >}}) page. +{{% /notice %}} + +The full set of dgraph's configuration options (along with brief descriptions) +can be viewed by invoking dgraph with the `--help` flag. For example, to see +the options available for `dgraph alpha`, run `dgraph alpha --help`. + +The options can be configured in multiple ways (from highest precedence to +lowest precedence): + +- Using command line flags (as described in the help output). +- Using environment variables. +- Using a configuration file. + +If no configuration for an option is used, then the default value as described +in the `--help` output applies. + +Multiple configuration methods can be used all at the same time. E.g. a core +set of options could be set in a config file, and instance specific options +could be set using environment vars or flags. + +The environment variable names mirror the flag names as seen in the `--help` +output. They are the concatenation of `DGRAPH`, the subcommand invoked +(`ALPHA`, `ZERO`, `LIVE`, or `BULK`), and then the name of the flag (in +uppercase). For example, instead of using `dgraph alpha --lru_mb=8096`, you +could use `DGRAPH_ALPHA_LRU_MB=8096 dgraph alpha`. + +Configuration file formats supported are JSON, TOML, YAML, HCL, and Java +properties (detected via file extension). The file extensions are .json, .toml, +.yml or .yaml, .hcl, and .properties for each format. + +A configuration file can be specified using the `--config` flag, or an +environment variable. E.g. `dgraph zero --config my_config.json` or +`DGRAPH_ZERO_CONFIG=my_config.json dgraph zero`. + +The config file structure is just simple key/value pairs (mirroring the flag +names). + +Example JSON config file (config.json): + +```json +{ + "my": "localhost:7080", + "zero": "localhost:5080", + "lru_mb": 4096, + "postings": "/path/to/p", + "wal": "/path/to/w" +} +``` + +Example TOML config file (config.toml): + +```toml +my = "localhost:7080" +zero = "localhost:5080" +lru_mb = 4096 +postings = "/path/to/p" +wal = "/path/to/w" +``` + + +Example YAML config file (config.yml): + +```yaml +my: "localhost:7080" +zero: "localhost:5080" +lru_mb: 4096 +postings: "/path/to/p" +wal: "/path/to/w" +``` + +Example HCL config file (config.hcl): + +```hcl +my = "localhost:7080" +zero = "localhost:5080" +lru_mb = 4096 +postings = "/path/to/p" +wal = "/path/to/w" +``` + +Example Java properties config file (config.properties): +```text +my=localhost:7080 +zero=localhost:5080 +lru_mb=4096 +postings=/path/to/p +wal=/path/to/w +``` diff --git a/wiki/content/deploy/data-compression.md b/wiki/content/deploy/data-compression.md new file mode 100644 index 00000000000..e551d204143 --- /dev/null +++ b/wiki/content/deploy/data-compression.md @@ -0,0 +1,19 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Data compression on disk" +[menu.main] + parent = "deploy" + weight = 17 ++++ + +Alpha exposes the option `--badger.compression_level` to configure the compression +level for data on disk using Zstd compression. The option can be set as + +```sh +dgraph alpha --badger.compression_level=xxx +``` + +A higher compression level is more CPU intensive but offers a better compression +ratio. The default level is 3. + +This option is available in v20.03.1 and later. \ No newline at end of file diff --git a/wiki/content/deploy/dgraph-administration.md b/wiki/content/deploy/dgraph-administration.md new file mode 100644 index 00000000000..321e8636f6d --- /dev/null +++ b/wiki/content/deploy/dgraph-administration.md @@ -0,0 +1,209 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Dgraph Administration" +[menu.main] + parent = "deploy" + weight = 18 ++++ + +Each Dgraph Alpha exposes administrative operations over HTTP to export data and to perform a clean shutdown. + +## Whitelisting Admin Operations + +By default, admin operations can only be initiated from the machine on which the Dgraph Alpha runs. +You can use the `--whitelist` option to specify whitelisted IP addresses and ranges for hosts from which admin operations can be initiated. + +```sh +dgraph alpha --whitelist 172.17.0.0:172.20.0.0,192.168.1.1 --lru_mb ... +``` +This would allow admin operations from hosts with IP between `172.17.0.0` and `172.20.0.0` along with +the server which has IP address as `192.168.1.1`. + +## Restricting Mutation Operations + +By default, you can perform mutation operations for any predicate. +If the predicate in mutation doesn't exist in the schema, +the predicate gets added to the schema with an appropriate +[Dgraph Type]({{< relref "query-language/schema.md" >}}). + +You can use `--mutations disallow` to disable all mutations, +which is set to `allow` by default. + +```sh +dgraph alpha --mutations disallow +``` + +Enforce a strict schema by setting `--mutations strict`. +This mode allows mutations only on predicates already in the schema. +Before performing a mutation on a predicate that doesn't exist in the schema, +you need to perform an alter operation with that predicate and its schema type. + +```sh +dgraph alpha --mutations strict +``` + +## Securing Alter Operations + +Clients can use alter operations to apply schema updates and drop particular or all predicates from the database. +By default, all clients are allowed to perform alter operations. +You can configure Dgraph to only allow alter operations when the client provides a specific token. +This can be used to prevent clients from making unintended or accidental schema updates or predicate drops. + +You can specify the auth token with the `--auth_token` option for each Dgraph Alpha in the cluster. +Clients must include the same auth token to make alter requests. + +```sh +$ dgraph alpha --lru_mb=2048 --auth_token= +``` + +```sh +$ curl -s localhost:8080/alter -d '{ "drop_all": true }' +# Permission denied. No token provided. +``` + +```sh +$ curl -s -H 'X-Dgraph-AuthToken: ' localhost:8180/alter -d '{ "drop_all": true }' +# Permission denied. Incorrect token. +``` + +```sh +$ curl -H 'X-Dgraph-AuthToken: ' localhost:8180/alter -d '{ "drop_all": true }' +# Success. Token matches. +``` + +{{% notice "note" %}} +To fully secure alter operations in the cluster, the auth token must be set for every Alpha. +{{% /notice %}} + + +## Exporting Database + +An export of all nodes is started by locally executing the following GraphQL mutation on /admin endpoint using any compatible client like Insomnia, GraphQL Playground or GraphiQL. + +```graphql +mutation { + export(input: {format: "rdf"}) { + response { + message + code + } + } +} +``` +{{% notice "warning" %}}By default, this won't work if called from outside the server where the Dgraph Alpha is running. +You can specify a list or range of whitelisted IP addresses from which export or other admin operations +can be initiated using the `--whitelist` flag on `dgraph alpha`. +{{% /notice %}} + +This triggers an export for all Alpha groups of the cluster. The data is exported from the following Dgraph instances: + +1. For the Alpha instance that receives the GET request, the group's export data is stored with this Alpha. +2. For every other group, its group's export data is stored with the Alpha leader of that group. + +It is up to the user to retrieve the right export files from the Alphas in the +cluster. Dgraph does not copy all files to the Alpha that initiated the export. +The user must also ensure that there is sufficient space on disk to store the +export. + +Each Alpha leader for a group writes output as a gzipped file to the export +directory specified via the `--export` flag (defaults to a directory called `"export"`). If any of the groups fail, the +entire export process is considered failed and an error is returned. + +The data is exported in RDF format by default. A different output format may be specified with the +`format` field. For example: + +```graphql +mutation { + export(input: {format: "json"}) { + response { + message + code + } + } +} +``` + +Currently, "rdf" and "json" are the only formats supported. + +### Encrypting Exports + +Export is available wherever an Alpha is running. To encrypt an export, the Alpha must be configured with the `encryption-key-file`. + +{{% notice "note" %}} +The `encryption-key-file` was used for `encryption-at-rest` and will now also be used for encrypted backups and exports. +{{% /notice %}} + +## Shutting Down Database + +A clean exit of a single Dgraph node is initiated by running the following GraphQL mutation on /admin endpoint. +{{% notice "warning" %}}This won't work if called from outside the server where Dgraph is running. +You can specify a list or range of whitelisted IP addresses from which shutdown or other admin operations +can be initiated using the `--whitelist` flag on `dgraph alpha`. +{{% /notice %}} + +```graphql +mutation { + shutdown { + response { + message + code + } + } +} +``` + +This stops the Alpha on which the command is executed and not the entire cluster. + +## Deleting database + +Individual triples, patterns of triples and predicates can be deleted as described in the [query languge docs](/query-language#delete). + +To drop all data, you could send a `DropAll` request via `/alter` endpoint. + +Alternatively, you could: + +* [Shutdown Dgraph]({{< relref "#shutting-down-database" >}}) and wait for all writes to complete, +* Delete (maybe do an export first) the `p` and `w` directories, then +* Restart Dgraph. + +## Upgrading Database + +Doing periodic exports is always a good idea. This is particularly useful if you wish to upgrade Dgraph or reconfigure the sharding of a cluster. The following are the right steps to safely export and restart. + +1. Start an [export]({{< relref "#exporting-database">}}) +2. Ensure it is successful +3. [Shutdown Dgraph]({{< relref "#shutting-down-database" >}}) and wait for all writes to complete +4. Start a new Dgraph cluster using new data directories (this can be done by passing empty directories to the options `-p` and `-w` for Alphas and `-w` for Zeros) +5. Reload the data via [bulk loader]({{< relref "#bulk-loader" >}}) +6. Verify the correctness of the new Dgraph cluster. If all looks good, you can delete the old directories (export serves as an insurance) + +These steps are necessary because Dgraph's underlying data format could have changed, and reloading the export avoids encoding incompatibilities. + +Blue-green deployment is a common approach to minimize downtime during the upgrade process. +This approach involves switching your application to read-only mode. To make sure that no mutations are executed during the maintenance window you can +do a rolling restart of all your Alpha using the option `--mutations disallow` when you restart the Alphas. This will ensure the cluster is in read-only mode. + +At this point your application can still read from the old cluster and you can perform the steps 4. and 5. described above. +When the new cluster (that uses the upgraded version of Dgraph) is up and running, you can point your application to it, and shutdown the old cluster. + +### Upgrading from v1.2.2 to v20.03.0 for Enterprise Customers + +1. Use [binary]({{< relref "enterprise-features/binary-backups.md">}}) backup to export data from old cluster +2. Ensure it is successful +3. [Shutdown Dgraph]({{< relref "#shutting-down-database" >}}) and wait for all writes to complete +4. Upgrade `dgraph` binary to `v20.03.0` +5. [Restore]({{< relref "enterprise-features/binary-backups.md#restore-from-backup">}}) from the backups using upgraded `dgraph` binary +6. Start a new Dgraph cluster using the restored data directories +7. Upgrade ACL data using the following command: + +``` +dgraph upgrade --acl -a localhost:9080 -u groot -p password +``` + +{{% notice "note" %}} +If you are upgrading from v1.0, please make sure you follow the schema migration steps described in [this section](/howto/#schema-types-scalar-uid-and-list-uid). +{{% /notice %}} + +## Post Installation + +Now that Dgraph is up and running, to understand how to add and query data to Dgraph, follow [Query Language Spec](/query-language). Also, have a look at [Frequently asked questions](/faq). diff --git a/wiki/content/deploy/dgraph-alpha.md b/wiki/content/deploy/dgraph-alpha.md new file mode 100644 index 00000000000..b3e126a4343 --- /dev/null +++ b/wiki/content/deploy/dgraph-alpha.md @@ -0,0 +1,84 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "More about Dgraph Alpha" +[menu.main] + parent = "deploy" + weight = 7 ++++ + +On its HTTP port, a Dgraph Alpha exposes a number of admin endpoints. +{{% notice "warning" %}} +These HTTP endpoints are deprecated and will be removed in the next release. Please use the GraphQL endpoint at /admin. +{{% /notice %}} + +* `/health?all` returns information about the health of all the servers in the cluster. +* `/admin/shutdown` initiates a proper [shutdown]({{< relref "#shutdown" >}}) of the Alpha. +* `/admin/export` initiates a data [export]({{< relref "#export" >}}). The exported data will be +encrypted if the alpha instance was configured with an encryption key file. + +By default the Alpha listens on `localhost` for admin actions (the loopback address only accessible from the same machine). The `--bindall=true` option binds to `0.0.0.0` and thus allows external connections. + +{{% notice "tip" %}}Set max file descriptors to a high value like 10000 if you are going to load a lot of data.{{% /notice %}} + +## Querying Health + +You can query the `/admin` graphql endpoint with a query like the one below to get a JSON consisting of basic information about health of all the servers in the cluster. + +```graphql +query { + health { + instance + address + version + status + lastEcho + group + uptime + ongoing + indexing + } +} +``` + +Here’s an example of JSON returned from the above query: + +```json +{ + "data": { + "health": [ + { + "instance": "zero", + "address": "localhost:5080", + "version": "v2.0.0-rc1", + "status": "healthy", + "lastEcho": 1582827418, + "group": "0", + "uptime": 1504 + }, + { + "instance": "alpha", + "address": "localhost:7080", + "version": "v2.0.0-rc1", + "status": "healthy", + "lastEcho": 1582827418, + "group": "1", + "uptime": 1505, + "ongoing": ["opIndexing"], + "indexing": ["name", "age"] + } + ] + } +} +``` + +- `instance`: Name of the instance. Either `alpha` or `zero`. +- `status`: Health status of the instance. Either `healthy` or `unhealthy`. +- `version`: Version of Dgraph running the Alpha or Zero server. +- `uptime`: Time in nanoseconds since the Alpha or Zero server is up and running. +- `address`: IP_ADDRESS:PORT of the instance. +- `group`: Group assigned based on the replication factor. Read more [here]({{< relref "/deploy/cluster-setup.md" >}}). +- `lastEcho`: Last time, in Unix epoch, when the instance was contacted by another Alpha or Zero server. +- `ongoing`: List of ongoing operations in the background. +- `indexing`: List of predicates for which indexes are built in the background. Read more [here]({{< relref "/query-language/schema.md#indexes-in-background" >}}). + +The same information (except `ongoing` and `indexing`) is available from the `/health` and `/health?all` endpoints of Alpha server. \ No newline at end of file diff --git a/wiki/content/deploy/dgraph-zero.md b/wiki/content/deploy/dgraph-zero.md new file mode 100644 index 00000000000..74da4f20734 --- /dev/null +++ b/wiki/content/deploy/dgraph-zero.md @@ -0,0 +1,182 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "More about Dgraph Zero" +[menu.main] + parent = "deploy" + weight = 8 ++++ + +Dgraph Zero controls the Dgraph cluster. It automatically moves data between +different Dgraph Alpha instances based on the size of the data served by each Alpha instance. + +It is mandatory to run at least one `dgraph zero` node before running any `dgraph alpha`. +Options present for `dgraph zero` can be seen by running `dgraph zero --help`. + +* Zero stores information about the cluster. +* `--replicas` is the option that controls the replication factor. (i.e. number of replicas per data shard, including the original shard) +* When a new Alpha joins the cluster, it is assigned a group based on the replication factor. If the replication factor is 1 then each Alpha node will serve different group. If replication factor is 2 and you launch 4 Alphas, then first two Alphas would serve group 1 and next two machines would serve group 2. +* Zero also monitors the space occupied by predicates in each group and moves them around to rebalance the cluster. + +Like Alpha, Zero also exposes HTTP on 6080 (+ any `--port_offset`). You can query (**GET** request) it +to see useful information, like the following: + +* `/state` Information about the nodes that are part of the cluster. Also contains information about +size of predicates and groups they belong to. +* `/assign?what=uids&num=100` This would allocate `num` uids and return a JSON map +containing `startId` and `endId`, both inclusive. This id range can be safely assigned +externally to new nodes during data ingestion. +* `/assign?what=timestamps&num=100` This would request timestamps from Zero. +This is useful to fast forward Zero state when starting from a postings +directory, which already has commits higher than Zero's leased timestamp. +* `/removeNode?id=3&group=2` If a replica goes down and can't be recovered, you +can remove it and add a new node to the quorum. This endpoint can be used to +remove a dead Zero or Dgraph Alpha node. To remove dead Zero nodes, pass +`group=0` and the id of the Zero node. + +{{% notice "note" %}} +Before using the API ensure that the node is down and ensure that it doesn't come back up ever again. + +You should not use the same `idx` of a node that was removed earlier. +{{% /notice %}} + +* `/moveTablet?tablet=name&group=2` This endpoint can be used to move a tablet to a group. Zero +already does shard rebalancing every 8 mins, this endpoint can be used to force move a tablet. + + +These are the **POST** endpoints available: + +* `/enterpriseLicense` Use endpoint to apply an enterprise license to the cluster by supplying it +as part of the body. + +## More about /state endpoint + +The `/state` endpoint of Dgraph Zero returns a JSON document of the current group membership info: + +- Instances which are part of the cluster. +- Number of instances in Zero group and each Alpha groups. +- Current leader of each group. +- Predicates that belong to a group. +- Estimated size in bytes of each predicate. +- Enterprise license information. +- Max Leased transaction ID. +- Max Leased UID. +- CID (Cluster ID). + +Here’s an example of JSON returned from `/state` endpoint for a 6-node Dgraph cluster with three replicas: + +```json +{ + "counter": "15", + "groups": { + "1": { + "members": { + "1": { + "id": "1", + "groupId": 1, + "addr": "alpha1:7080", + "leader": true, + "lastUpdate": "1576112366" + }, + "2": { + "id": "2", + "groupId": 1, + "addr": "alpha2:7080" + }, + "3": { + "id": "3", + "groupId": 1, + "addr": "alpha3:7080" + } + }, + "tablets": { + "counter.val": { + "groupId": 1, + "predicate": "counter.val" + }, + "dgraph.type": { + "groupId": 1, + "predicate": "dgraph.type" + } + }, + "checksum": "1021598189643258447" + } + }, + "zeros": { + "1": { + "id": "1", + "addr": "zero1:5080", + "leader": true + }, + "2": { + "id": "2", + "addr": "zero2:5080" + }, + "3": { + "id": "3", + "addr": "zero3:5080" + } + }, + "maxLeaseId": "10000", + "maxTxnTs": "10000", + "cid": "3602537a-ee49-43cb-9792-c766eea683dc", + "license": { + "maxNodes": "18446744073709551615", + "expiryTs": "1578704367", + "enabled": true + } +} +``` + +Here’s the information the above JSON document provides: + +- Group 0 + - members + - zero1:5080, id: 1, leader + - zero2:5080, id: 2 + - zero3:5080, id: 3 +- Group 1 + - members + - alpha1:7080, id: 1, leader + - alpha2:7080, id: 2 + - alpha3:7080, id: 3 + - predicates + - dgraph.type + - counter.val +- Enterprise license + - Enabled + - maxNodes: unlimited + - License expires on Friday, January 10, 2020 4:59:27 PM GMT-08:00 (converted from epoch timestamp) +- Other data: + - maxTxnTs + - The current max lease of transaction timestamps used to hand out start timestamps + and commit timestamps. + - This increments in batches of 10,000 IDs. Once the max lease is reached, another + 10,000 IDs are leased. In the event that the Zero leader is lost, then the new + leader starts a brand new lease from maxTxnTs+1 . Any lost transaction IDs + in-between will never be used. + - An admin can use the Zero endpoint HTTP GET `/assign?what=timestamps&num=1000` to + increase the current transaction timestamp (in this case, by 1000). This is mainly + useful in special-case scenarios, e.g., using an existing p directory to a fresh + cluster in order to be able to query the latest data in the DB. + - maxLeaseId + - The current max lease of UIDs used for blank node UID assignment. + - This increments in batches of 10,000 IDs. Once the max lease is reached, another + 10,000 IDs are leased. In the event that the Zero leader is lost, the new leader + starts a brand new lease from maxLeaseId+1. Any UIDs lost in-between will never + be used for blank-node UID assignment. + - An admin can use the Zero endpoint HTTP GET `/assign?what=uids&num=1000` to + reserve a range of UIDs (in this case, 1000) to use externally (Zero will NEVER + use these UIDs for blank node UID assignment, so the user can use the range + to assign UIDs manually to their own data sets. + - CID + - This is a unique UUID representing the *cluster-ID* for this cluster. It is generated + during the initial DB startup and is retained across restarts. + - Group checksum + - This is the checksum verification of the data per Alpha group. This is used internally + to verify group memberships in the event of a tablet move. + +{{% notice "note" %}} +"tablet", "predicate", and "edge" are synonymous terms today. The future plan to +improve data scalability is to shard a predicate into separate tablets that could +be assigned to different groups. +{{% /notice %}} \ No newline at end of file diff --git a/wiki/content/deploy/download.md b/wiki/content/deploy/download.md new file mode 100644 index 00000000000..9004c0c7e9d --- /dev/null +++ b/wiki/content/deploy/download.md @@ -0,0 +1,112 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Download" +[menu.main] + parent = "deploy" + weight = 1 ++++ + +{{% notice "tip" %}} +For a single server setup, recommended for new users, please see [Get Started]({{< relref "get-started/index.md" >}}) page. +{{% /notice %}} + +## Docker + +```sh +docker pull dgraph/dgraph:{{< version >}} + +# You can test that it worked fine, by running: +docker run -it dgraph/dgraph:{{< version >}} dgraph +``` + +## Automatic download + +Running + +```sh +curl https://get.dgraph.io -sSf | bash + +# Test that it worked fine, by running: +dgraph +``` + +would install the `dgraph` binary into your system. + +Other instalation options: + +> Add `-s --` before the flags.() +`-y | --accept-license`: Automatically agree to the terms of the Dgraph Community License (default: "n"). + +`-s | --systemd`: Automatically create Dgraph's installation as Systemd services (default: "n"). + +`-v | --version`: Choose Dgraph's version manually (default: The latest stable release, you can do tag combinations e.g v2.0.0-beta1 or -rc1). + +>Installing Dgraph and requesting the automatic creation of systemd service. e.g: + +```sh +curl https://get.dgraph.io -sSf | bash -s -- --systemd +``` + +Using Environment variables: + +`ACCEPT_LICENSE`: Automatically agree to the terms of the Dgraph Community License (default: "n"). + +`INSTALL_IN_SYSTEMD`: Automatically create Dgraph's installation as Systemd services (default: "n"). + +`VERSION`: Choose Dgraph's version manually (default: The latest stable release). + +```sh +curl https://get.dgraph.io -sSf | VERSION=v2.0.0-beta1 bash +``` + +{{% notice "note" %}} +Be aware that using this script will overwrite the installed version and can lead to compatibility problems. For example, if you were using version v1.0.5 and forced the installation of v2.0.0-Beta, the existing data won't be compatible with the new version. The data must be [exported]({{< relref "deploy/index.md#exporting-database" >}}) before running this script and reimported to the new cluster running the updated version. +{{% /notice %}} + +## Manual download [optional] + +If you don't want to follow the automatic installation method, you could manually download the appropriate tar for your platform from **[Dgraph releases](https://github.com/dgraph-io/dgraph/releases)**. After downloading the tar for your platform from Github, extract the binary to `/usr/local/bin` like so. + +```sh +# For Linux +$ sudo tar -C /usr/local/bin -xzf dgraph-linux-amd64-VERSION.tar.gz + +# For Mac +$ sudo tar -C /usr/local/bin -xzf dgraph-darwin-amd64-VERSION.tar.gz + +# Test that it worked fine, by running: +dgraph +``` + +## Building from Source + +{{% notice "note" %}} +You can build the Ratel UI from source seperately following its build +[instructions](https://github.com/dgraph-io/ratel/blob/master/INSTRUCTIONS.md). +Ratel UI is distributed via Dgraph releases using any of the download methods +listed above. +{{% /notice %}} + +Make sure you have [Go](https://golang.org/dl/) v1.11+ installed. + +You'll need the following dependencies to install Dgraph using `make`: +```bash +sudo apt-get update +sudo apt-get install gcc make +``` + +After installing Go, run +```sh +# This should install dgraph binary in your $GOPATH/bin. + +git clone https://github.com/dgraph-io/dgraph.git +cd ./dgraph +make install +``` + +If you get errors related to `grpc` while building them, your +`go-grpc` version might be outdated. We don't vendor in `go-grpc`(because it +causes issues while using the Go client). Update your `go-grpc` by running. +```sh +go get -u -v google.golang.org/grpc +``` \ No newline at end of file diff --git a/wiki/content/deploy/fast-data-loading.md b/wiki/content/deploy/fast-data-loading.md new file mode 100644 index 00000000000..0669bec72c2 --- /dev/null +++ b/wiki/content/deploy/fast-data-loading.md @@ -0,0 +1,312 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Fast Data Loading" +[menu.main] + parent = "deploy" + weight = 12 ++++ + +There are two different tools that can be used for fast data loading: + +- `dgraph live` runs the Dgraph Live Loader +- `dgraph bulk` runs the Dgraph Bulk Loader + +{{% notice "note" %}} Both tools only accept [RDF N-Quad/Triple +data](https://www.w3.org/TR/n-quads/) or JSON in plain or gzipped format. Data +in other formats must be converted.{{% /notice %}} + +## Live Loader + +Dgraph Live Loader (run with `dgraph live`) is a small helper program which reads RDF N-Quads from a gzipped file, batches them up, creates mutations (using the go client) and shoots off to Dgraph. + +Dgraph Live Loader correctly handles assigning unique IDs to blank nodes across multiple files, and can optionally persist them to disk to save memory, in case the loader was re-run. + +{{% notice "note" %}} Dgraph Live Loader can optionally write the xid->uid mapping to a directory specified using the `--xidmap` flag, which can reused +given that live loader completed successfully in the previous run.{{% /notice %}} + +```sh +$ dgraph live --help # To see the available flags. + +# Read RDFs or JSON from the passed file, and send them to Dgraph on localhost:9080. +$ dgraph live -f + +# Read multiple RDFs or JSON from the passed path, and send them to Dgraph on localhost:9080. +$ dgraph live -f <./path-to-gzipped-RDF-or-JSON-files> + +# Read multiple files strictly by name. +$ dgraph live -f + +# Use compressed gRPC connections to and from Dgraph. +$ dgraph live -C -f + +# Read RDFs and a schema file and send to Dgraph running at given address. +$ dgraph live -f -s -a -z +``` + +### Encrypted imports via Live Loader + +A new flag keyfile is added to the Live Loader. This option is required to decrypt the encrypted export data and schema files. Once the export files are decrypted, the Live Loader streams the data to a live Alpha instance. + +{{% notice "note" %}} +If the live Alpha instance has encryption turned on, the `p` directory will be encrypted. Otherwise, the `p` directory is unencrypted. +{{% /notice %}} + +### Encrypted RDF/JSON file and schema via Live Loader +`dgraph live -f -s -keyfile ` + +### Other Live Loader options + +`--new_uids` (default: false): Assign new UIDs instead of using the existing +UIDs in data files. This is useful to avoid overriding the data in a DB already +in operation. + +`-f, --files`: Location of *.rdf(.gz) or *.json(.gz) file(s) to load. It can +load multiple files in a given path. If the path is a directory, then all files +ending in .rdf, .rdf.gz, .json, and .json.gz will be loaded. + +`--format`: Specify file format (rdf or json) instead of getting it from +filenames. This is useful if you need to define a strict format manually. + +`-b, --batch` (default: 1000): Number of N-Quads to send as part of a mutation. + +`-c, --conc` (default: 10): Number of concurrent requests to make to Dgraph. +Do not confuse with `-C`. + +`-C, --use_compression` (default: false): Enable compression for connections to and from the +Alpha server. + +`-a, --alpha` (default: `localhost:9080`): Dgraph Alpha gRPC server address to connect for live loading. This can be a comma-separated list of Alphas addresses in the same cluster to distribute the load, e.g., `"alpha:grpc_port,alpha2:grpc_port,alpha3:grpc_port"`. + +`-x, --xidmap` (default: disabled. Need a path): Store xid to uid mapping to a directory. Dgraph will save all identifiers used in the load for later use in other data ingest operations. The mapping will be saved in the path you provide and you must indicate that same path in the next load. It is recommended to use this flag if you have full control over your identifiers (Blank-nodes). Because the identifier will be mapped to a specific UID. + +## Bulk Loader + +{{% notice "note" %}} +It's crucial to tune the bulk loader's flags to get good performance. See the +section below for details. +{{% /notice %}} + +Dgraph Bulk Loader serves a similar purpose to the Dgraph Live Loader, but can +only be used to load data into a new cluster. It cannot be run on an existing +Dgraph cluster. Dgraph Bulk Loader is **considerably faster** than the Dgraph +Live Loader and is the recommended way to perform the initial import of large +datasets into Dgraph. + +Only one or more Dgraph Zeros should be running for bulk loading. Dgraph Alphas +will be started later. + +{{% notice "warning" %}} +Don't use bulk loader once the Dgraph cluster is up and running. Use it to import +your existing data to a new cluster. +{{% /notice %}} + +You can [read some technical details](https://blog.dgraph.io/post/bulkloader/) +about the bulk loader on the blog. + +See [Fast Data Loading]({{< relref "#fast-data-loading" >}}) for more info about +the expected N-Quads format. + +**Reduce shards**: Before running the bulk load, you need to decide how many +Alpha groups will be running when the cluster starts. The number of Alpha groups +will be the same number of reduce shards you set with the `--reduce_shards` +flag. For example, if your cluster will run 3 Alpha with 3 replicas per group, +then there is 1 group and `--reduce_shards` should be set to 1. If your cluster +will run 6 Alphas with 3 replicas per group, then there are 2 groups and +`--reduce_shards` should be set to 2. + +**Map shards**: The `--map_shards` option must be set to at least what's set for +`--reduce_shards`. A higher number helps the bulk loader evenly distribute +predicates between the reduce shards. + +```sh +$ dgraph bulk -f goldendata.rdf.gz -s goldendata.schema --map_shards=4 --reduce_shards=2 --http localhost:8000 --zero=localhost:5080 +``` +``` +{ + "DataFiles": "goldendata.rdf.gz", + "DataFormat": "", + "SchemaFile": "goldendata.schema", + "DgraphsDir": "out", + "TmpDir": "tmp", + "NumGoroutines": 4, + "MapBufSize": 67108864, + "ExpandEdges": true, + "SkipMapPhase": false, + "CleanupTmp": true, + "NumShufflers": 1, + "Version": false, + "StoreXids": false, + "ZeroAddr": "localhost:5080", + "HttpAddr": "localhost:8000", + "IgnoreErrors": false, + "MapShards": 4, + "ReduceShards": 2 +} +The bulk loader needs to open many files at once. This number depends on the size of the data set loaded, the map file output size, and the level of indexing. 100,000 is adequate for most data set sizes. See `man ulimit` for details of how to change the limit. +Current max open files limit: 1024 +MAP 01s rdf_count:176.0 rdf_speed:174.4/sec edge_count:564.0 edge_speed:558.8/sec +MAP 02s rdf_count:399.0 rdf_speed:198.5/sec edge_count:1.291k edge_speed:642.4/sec +MAP 03s rdf_count:666.0 rdf_speed:221.3/sec edge_count:2.164k edge_speed:718.9/sec +MAP 04s rdf_count:952.0 rdf_speed:237.4/sec edge_count:3.014k edge_speed:751.5/sec +MAP 05s rdf_count:1.327k rdf_speed:264.8/sec edge_count:4.243k edge_speed:846.7/sec +MAP 06s rdf_count:1.774k rdf_speed:295.1/sec edge_count:5.720k edge_speed:951.5/sec +MAP 07s rdf_count:2.375k rdf_speed:338.7/sec edge_count:7.607k edge_speed:1.085k/sec +MAP 08s rdf_count:3.697k rdf_speed:461.4/sec edge_count:11.89k edge_speed:1.484k/sec +MAP 09s rdf_count:71.98k rdf_speed:7.987k/sec edge_count:225.4k edge_speed:25.01k/sec +MAP 10s rdf_count:354.8k rdf_speed:35.44k/sec edge_count:1.132M edge_speed:113.1k/sec +MAP 11s rdf_count:610.5k rdf_speed:55.39k/sec edge_count:1.985M edge_speed:180.1k/sec +MAP 12s rdf_count:883.9k rdf_speed:73.52k/sec edge_count:2.907M edge_speed:241.8k/sec +MAP 13s rdf_count:1.108M rdf_speed:85.10k/sec edge_count:3.653M edge_speed:280.5k/sec +MAP 14s rdf_count:1.121M rdf_speed:79.93k/sec edge_count:3.695M edge_speed:263.5k/sec +MAP 15s rdf_count:1.121M rdf_speed:74.61k/sec edge_count:3.695M edge_speed:246.0k/sec +REDUCE 16s [1.69%] edge_count:62.61k edge_speed:62.61k/sec plist_count:29.98k plist_speed:29.98k/sec +REDUCE 17s [18.43%] edge_count:681.2k edge_speed:651.7k/sec plist_count:328.1k plist_speed:313.9k/sec +REDUCE 18s [33.28%] edge_count:1.230M edge_speed:601.1k/sec plist_count:678.9k plist_speed:331.8k/sec +REDUCE 19s [45.70%] edge_count:1.689M edge_speed:554.4k/sec plist_count:905.9k plist_speed:297.4k/sec +REDUCE 20s [60.94%] edge_count:2.252M edge_speed:556.5k/sec plist_count:1.278M plist_speed:315.9k/sec +REDUCE 21s [93.21%] edge_count:3.444M edge_speed:681.5k/sec plist_count:1.555M plist_speed:307.7k/sec +REDUCE 22s [100.00%] edge_count:3.695M edge_speed:610.4k/sec plist_count:1.778M plist_speed:293.8k/sec +REDUCE 22s [100.00%] edge_count:3.695M edge_speed:584.4k/sec plist_count:1.778M plist_speed:281.3k/sec +Total: 22s +``` + +The output will be generated in the `out` directory by default. Here's the bulk +load output from the example above: + +```sh +$ tree ./out +``` +``` +./out +├── 0 +│   └── p +│   ├── 000000.vlog +│   ├── 000002.sst +│   └── MANIFEST +└── 1 + └── p + ├── 000000.vlog + ├── 000002.sst + └── MANIFEST + +4 directories, 6 files +``` + +Because `--reduce_shards` was set to 2, there are two sets of p directories: one +in `./out/0` directory and another in the `./out/1` directory. + +Once the output is created, they can be copied to all the servers that will run +Dgraph Alphas. Each Dgraph Alpha must have its own copy of the group's p +directory output. Each replica of the first group should have its own copy of +`./out/0/p`, each replica of the second group should have its own copy of +`./out/1/p`, and so on. + +```sh +$ dgraph bulk --help # To see the available flags. + +# Read RDFs or JSON from the passed file. +$ dgraph bulk -f ... + +# Read multiple RDFs or JSON from the passed path. +$ dgraph bulk -f <./path-to-gzipped-RDF-or-JSON-files> ... + +# Read multiple files strictly by name. +$ dgraph bulk -f ... + +``` + +### Encryption at rest with Bulk Loader + +Even before the Dgraph cluster starts, we can load data using Bulk Loader with the encryption feature turned on. Later we can point the generated `p` directory to a new Alpha server. + +Here's an example to run Bulk Loader with a key used to write encrypted data: + +```bash +dgraph bulk --encryption_key_file ./enc_key_file -f data.json.gz -s data.schema --map_shards=1 --reduce_shards=1 --http localhost:8000 --zero=localhost:5080 +``` + +### Encrypting imports via Bulk Loader + +The Bulk Loader’s `encryption_key_file` option was previously used to encrypt the output `p ` directory. This same option will also be used to decrypt the encrypted export data and schema files. + +Another option, `--encrypted`, indicates whether the input `rdf`/`json` data and schema files are encrypted or not. With this switch, we support the use case of migrating data from unencrypted exports to encrypted import. + +So, with the above two options we have 4 cases: + +1. `--encrypted=true` and no `encryption_key_file`. + +Error: If the input is encrypted, a key file must be provided. + +2. `--encrypted=true` and `encryption_key_file`=`path to key. + +Input is encrypted and output `p` dir is encrypted as well. + +3. `--encrypted=false` and no `encryption_key_file`. + +Input is not encrypted and the output `p` dir is also not encrypted. + +4. `--encrypted=false` and `encryption_key_file`=`path to key`. + +Input is not encrypted but the output is encrypted. (This is the migration use case mentioned above). + +### Other Bulk Loader options + +`--new_uids` (default: false): Assign new UIDs instead of using the existing +UIDs in data files. This is useful to avoid overriding the data in a DB already +in operation. + +`-f, --files`: Location of *.rdf(.gz) or *.json(.gz) file(s) to load. It can +load multiple files in a given path. If the path is a directory, then all files +ending in .rdf, .rdf.gz, .json, and .json.gz will be loaded. + +`--format`: Specify file format (rdf or json) instead of getting it from +filenames. This is useful if you need to define a strict format manually. + +`--store_xids`: Generate a xid edge for each node. It will store the XIDs (The identifier / Blank-nodes) in an attribute named `xid` in the entity itself. It is useful if you gonna use [External IDs](/mutations#external-ids). + +`--xidmap` (default: disabled. Need a path): Store xid to uid mapping to a directory. Dgraph will save all identifiers used in the load for later use in other data ingest operations. The mapping will be saved in the path you provide and you must indicate that same path in the next load. It is recommended to use this flag if you have full control over your identifiers (Blank-nodes). Because the identifier will be mapped to a specific UID. + +### Tuning & monitoring + +#### Performance Tuning + +{{% notice "tip" %}} +We highly recommend [disabling swap +space](https://askubuntu.com/questions/214805/how-do-i-disable-swap) when +running Bulk Loader. It is better to fix the parameters to decrease memory +usage, than to have swapping grind the loader down to a halt. +{{% /notice %}} + +Flags can be used to control the behaviour and performance characteristics of +the bulk loader. You can see the full list by running `dgraph bulk --help`. In +particular, **the flags should be tuned so that the bulk loader doesn't use more +memory than is available as RAM**. If it starts swapping, it will become +incredibly slow. + +**In the map phase**, tweaking the following flags can reduce memory usage: + +- The `--num_go_routines` flag controls the number of worker threads. Lowering reduces memory + consumption. + +- The `--mapoutput_mb` flag controls the size of the map output files. Lowering + reduces memory consumption. + +For bigger datasets and machines with many cores, gzip decoding can be a +bottleneck during the map phase. Performance improvements can be obtained by +first splitting the RDFs up into many `.rdf.gz` files (e.g. 256MB each). This +has a negligible impact on memory usage. + +**The reduce phase** is less memory heavy than the map phase, although can still +use a lot. Some flags may be increased to improve performance, *but only if +you have large amounts of RAM*: + +- The `--reduce_shards` flag controls the number of resultant Dgraph alpha instances. + Increasing this increases memory consumption, but in exchange allows for +higher CPU utilization. + +- The `--map_shards` flag controls the number of separate map output shards. + Increasing this increases memory consumption but balances the resultant +Dgraph alpha instances more evenly. + +- The `--shufflers` controls the level of parallelism in the shuffle/reduce + stage. Increasing this increases memory consumption. \ No newline at end of file diff --git a/wiki/content/deploy/index.md b/wiki/content/deploy/index.md index 4d83286e50f..7c86f02dcdb 100644 --- a/wiki/content/deploy/index.md +++ b/wiki/content/deploy/index.md @@ -2,2805 +2,3 @@ date = "2017-03-20T22:25:17+11:00" title = "Deploy" +++ - -This page talks about running Dgraph in various deployment modes, in a distributed fashion and involves -running multiple instances of Dgraph, over multiple servers in a cluster. - -{{% notice "tip" %}} -For a single server setup, recommended for new users, please see [Get Started]({{< relref "get-started/index.md" >}}) page. -{{% /notice %}} - -## Install Dgraph - -### Docker - -```sh -docker pull dgraph/dgraph:{{< version >}} - -# You can test that it worked fine, by running: -docker run -it dgraph/dgraph:{{< version >}} dgraph -``` - -### Automatic download - -Running - -```sh -curl https://get.dgraph.io -sSf | bash - -# Test that it worked fine, by running: -dgraph -``` - -would install the `dgraph` binary into your system. - -Other instalation options: - -> Add `-s --` before the flags. - -`-y | --accept-license`: Automatically agree to the terms of the Dgraph Community License (default: "n"). - -`-s | --systemd`: Automatically create Dgraph's installation as Systemd services (default: "n"). - -`-v | --version`: Choose Dgraph's version manually (default: The latest stable release, you can do tag combinations e.g v2.0.0-beta1 or -rc1). - ->Installing Dgraph and requesting the automatic creation of systemd service. e.g: - -```sh -curl https://get.dgraph.io -sSf | bash -s -- --systemd -``` - -Using Environment variables: - -`ACCEPT_LICENSE`: Automatically agree to the terms of the Dgraph Community License (default: "n"). - -`INSTALL_IN_SYSTEMD`: Automatically create Dgraph's installation as Systemd services (default: "n"). - -`VERSION`: Choose Dgraph's version manually (default: The latest stable release). - -```sh -curl https://get.dgraph.io -sSf | VERSION=v2.0.0-beta1 bash -``` - -{{% notice "note" %}} -Be aware that using this script will overwrite the installed version and can lead to compatibility problems. For example, if you were using version v1.0.5 and forced the installation of v2.0.0-Beta, the existing data won't be compatible with the new version. The data must be [exported]({{< relref "deploy/index.md#exporting-database" >}}) before running this script and reimported to the new cluster running the updated version. -{{% /notice %}} - -### Manual download [optional] - -If you don't want to follow the automatic installation method, you could manually download the appropriate tar for your platform from **[Dgraph releases](https://github.com/dgraph-io/dgraph/releases)**. After downloading the tar for your platform from Github, extract the binary to `/usr/local/bin` like so. - -```sh -# For Linux -$ sudo tar -C /usr/local/bin -xzf dgraph-linux-amd64-VERSION.tar.gz - -# For Mac -$ sudo tar -C /usr/local/bin -xzf dgraph-darwin-amd64-VERSION.tar.gz - -# Test that it worked fine, by running: -dgraph -``` - -### Building from Source - -{{% notice "note" %}} -You can build the Ratel UI from source seperately following its build -[instructions](https://github.com/dgraph-io/ratel/blob/master/INSTRUCTIONS.md). -Ratel UI is distributed via Dgraph releases using any of the download methods -listed above. -{{% /notice %}} - -Make sure you have [Go](https://golang.org/dl/) v1.11+ installed. - -You'll need the following dependencies to install Dgraph using `make`: -```bash -sudo apt-get update -sudo apt-get install gcc make -``` - -After installing Go, run -```sh -# This should install dgraph binary in your $GOPATH/bin. - -git clone https://github.com/dgraph-io/dgraph.git -cd ./dgraph -make install -``` - -If you get errors related to `grpc` while building them, your -`go-grpc` version might be outdated. We don't vendor in `go-grpc`(because it -causes issues while using the Go client). Update your `go-grpc` by running. -```sh -go get -u -v google.golang.org/grpc -``` - -### Config - -The full set of dgraph's configuration options (along with brief descriptions) -can be viewed by invoking dgraph with the `--help` flag. For example, to see -the options available for `dgraph alpha`, run `dgraph alpha --help`. - -The options can be configured in multiple ways (from highest precedence to -lowest precedence): - -- Using command line flags (as described in the help output). - -- Using environment variables. - -- Using a configuration file. - -If no configuration for an option is used, then the default value as described -in the `--help` output applies. - -Multiple configuration methods can be used all at the same time. E.g. a core -set of options could be set in a config file, and instance specific options -could be set using environment vars or flags. - -The environment variable names mirror the flag names as seen in the `--help` -output. They are the concatenation of `DGRAPH`, the subcommand invoked -(`ALPHA`, `ZERO`, `LIVE`, or `BULK`), and then the name of the flag (in -uppercase). For example, instead of using `dgraph alpha --lru_mb=8096`, you -could use `DGRAPH_ALPHA_LRU_MB=8096 dgraph alpha`. - -Configuration file formats supported are JSON, TOML, YAML, HCL, and Java -properties (detected via file extension). The file extensions are .json, .toml, -.yml or .yaml, .hcl, and .properties for each format. - -A configuration file can be specified using the `--config` flag, or an -environment variable. E.g. `dgraph zero --config my_config.json` or -`DGRAPH_ZERO_CONFIG=my_config.json dgraph zero`. - -The config file structure is just simple key/value pairs (mirroring the flag -names). - -Example JSON config file (config.json): - -```json -{ - "my": "localhost:7080", - "zero": "localhost:5080", - "lru_mb": 4096, - "postings": "/path/to/p", - "wal": "/path/to/w" -} -``` - -Example TOML config file (config.toml): - -```toml -my = "localhost:7080" -zero = "localhost:5080" -lru_mb = 4096 -postings = "/path/to/p" -wal = "/path/to/w" -``` - - -Example YAML config file (config.yml): - -```yaml -my: "localhost:7080" -zero: "localhost:5080" -lru_mb: 4096 -postings: "/path/to/p" -wal: "/path/to/w" -``` - -Example HCL config file (config.hcl): - -```hcl -my = "localhost:7080" -zero = "localhost:5080" -lru_mb = 4096 -postings = "/path/to/p" -wal = "/path/to/w" -``` - -Example Java properties config file (config.properties): -```text -my=localhost:7080 -zero=localhost:5080 -lru_mb=4096 -postings=/path/to/p -wal=/path/to/w -``` - -## Cluster Setup - -### Understanding Dgraph cluster - -Dgraph is a truly distributed graph database - not a master-slave replication of -universal dataset. It shards by predicate and replicates predicates across the -cluster, queries can be run on any node and joins are handled over the -distributed data. A query is resolved locally for predicates the node stores, -and via distributed joins for predicates stored on other nodes. - -For effectively running a Dgraph cluster, it's important to understand how -sharding, replication and rebalancing works. - -**Sharding** - -Dgraph colocates data per predicate (* P *, in RDF terminology), thus the -smallest unit of data is one predicate. To shard the graph, one or many -predicates are assigned to a group. Each Alpha node in the cluster serves a -single group. Dgraph Zero assigns a group to each Alpha node. - -**Shard rebalancing** - -Dgraph Zero tries to rebalance the cluster based on the disk usage in each -group. If Zero detects an imbalance, it would try to move a predicate along with -its indices to a group that has minimum disk usage. This can make the predicate -temporarily read-only. Queries for the predicate will still be serviced, but any -mutations for the predicate will be rejected and should be retried after the -move is finished. - -Zero would continuously try to keep the amount of data on each server even, -typically running this check on a 10-min frequency. Thus, each additional -Dgraph Alpha instance would allow Zero to further split the predicates from -groups and move them to the new node. - -**Consistent Replication** - -If `--replicas` flag is set to something greater than one, Zero would assign the -same group to multiple nodes. These nodes would then form a Raft group aka -quorum. Every write would be consistently replicated to the quorum. To achieve -consensus, its important that the size of quorum be an odd number. Therefore, we -recommend setting `--replicas` to 1, 3 or 5 (not 2 or 4). This allows 0, 1, or 2 -nodes serving the same group to be down, respectively without affecting the -overall health of that group. - -## Ports Usage - -Dgraph cluster nodes use different ports to communicate over gRPC and HTTP. Users should pay attention while choosing these ports based on their topology and deployment-mode as each port needs different access security rules or firewall. - -### Types of ports - -- **gRPC-internal:** Port that is used between the cluster nodes for internal communication and message exchange. -- **gRPC-external:** Port that is used by Dgraph clients, Dgraph Live Loader , and Dgraph Bulk loader to access APIs over gRPC. -- **http-external:** Port that is used by clients to access APIs over HTTP and other monitoring & administrative tasks. - -### Ports used by different nodes - - Dgraph Node Type | gRPC-internal | gRPC-external | HTTP-external -------------------|-----------------------|---------------|--------------- - zero | 50801 | --Not Used-- | 60802 - alpha | 7080 | 9080 | 8080 - ratel | --Not Used-- | --Not Used-- | 8000 - - -1: Dgraph Zero's gRPC-internal port is used for internal communication within the cluster. It's also needed for the [fast data loading]({{< relref "#fast-data-loading" >}}) tools Dgraph Live Loader and Dgraph Bulk Loader. - -2: Dgraph Zero's HTTP-external port is used for [admin]({{< relref "#more-about-dgraph-zero" >}}) operations. Access to it is not required by clients. - -Users have to modify security rules or open firewall ports depending up on their underlying network to allow communication between cluster nodes and between the Dgraph instances themselves and between Dgraph and a client. A general rule is to make *-external (gRPC/HTTP) ports wide open to clients and gRPC-internal ports open within the cluster nodes. - -**Ratel UI** accesses Dgraph Alpha on the HTTP-external port (default localhost:8080) and can be configured to talk to remote Dgraph cluster. This way you can run Ratel on your local machine and point to a remote cluster. But if you are deploying Ratel along with Dgraph cluster, then you may have to expose 8000 to the public. - -**Port Offset** To make it easier for user to setup the cluster, Dgraph defaults the ports used by Dgraph nodes and let user to provide an offset (through command option `--port_offset`) to define actual ports used by the node. Offset can also be used when starting multiple zero nodes in a HA setup. - -For example, when a user runs a Dgraph Alpha by setting `--port_offset 2`, then the Alpha node binds to 7082 (gRPC-internal), 8082 (HTTP-external) & 9082 (gRPC-external) respectively. - -**Ratel UI** by default listens on port 8000. You can use the `-port` flag to configure to listen on any other port. - -### HA Cluster Setup - -In a high-availability setup, we need to run 3 or 5 replicas for Zero, and similarly, 3 or 5 replicas for Alpha. -{{% notice "note" %}} -If number of replicas is 2K + 1, up to **K servers** can be down without any impact on reads or writes. - -Avoid keeping replicas to 2K (even number). If K servers go down, this would block reads and writes, due to lack of consensus. -{{% /notice %}} - -**Dgraph Zero** -Run three Zero instances, assigning a unique ID(Integer) to each via `--idx` flag, and -passing the address of any healthy Zero instance via `--peer` flag. - -To run three replicas for the alphas, set `--replicas=3`. Every time a new -Dgraph Alpha is added, Zero would check the existing groups and assign them to -one, which doesn't have three replicas. - -**Dgraph Alpha** -Run as many Dgraph Alphas as you want. You can manually set `--idx` flag, or you -can leave that flag empty, and Zero would auto-assign an id to the Alpha. This -id would get persisted in the write-ahead log, so be careful not to delete it. - -The new Alphas will automatically detect each other by communicating with -Dgraph zero and establish connections to each other. You can provide a list of -zero addresses to alpha using the `--zero` flag. Alpha will try to connect to -one of the zeros starting from the first zero address in the list. For example: -`--zero=zero1,zero2,zero3` where zero1 is the `host:port` of a zero instance. - -Typically, Zero would first attempt to replicate a group, by assigning a new -Dgraph alpha to run the same group as assigned to another. Once the group has -been replicated as per the `--replicas` flag, Zero would create a new group. - -Over time, the data would be evenly split across all the groups. So, it's -important to ensure that the number of Dgraph alphas is a multiple of the -replication setting. For e.g., if you set `--replicas=3` in Zero, then run three -Dgraph alphas for no sharding, but 3x replication. Run six Dgraph alphas, for -sharding the data into two groups, with 3x replication. - -## Single Host Setup - -### Run directly on the host - -**Run dgraph zero** - -```sh -dgraph zero --my=IPADDR:5080 -``` -The `--my` flag is the connection that Dgraph alphas would dial to talk to -zero. So, the port `5080` and the IP address must be visible to all the Dgraph alphas. - -For all other various flags, run `dgraph zero --help`. - -**Run dgraph alpha** - -```sh -dgraph alpha --lru_mb= --my=IPADDR:7080 --zero=localhost:5080 -dgraph alpha --lru_mb= --my=IPADDR:7081 --zero=localhost:5080 -o=1 -``` - -Notice the use of `-o` for the second Alpha to add offset to the default ports used. Zero automatically assigns an unique ID to each Alpha, which is persisted in the write ahead log (wal) directory, users can specify the index using `--idx` option. Dgraph Alphas use two directories to persist data and -wal logs, and these directories must be different for each Alpha if they are running on the same host. You can use `-p` and `-w` to change the location of the data and WAL directories. For all other flags, run - -`dgraph alpha --help`. - -**Run dgraph UI** - -```sh -dgraph-ratel -``` - -### Run using Docker - -Dgraph cluster can be setup running as containers on a single host. First, you'd want to figure out the host IP address. You can typically do that via - -```sh -ip addr # On Arch Linux -ifconfig # On Ubuntu/Mac -``` -We'll refer to the host IP address via `HOSTIPADDR`. - -**Create Docker network** - -```sh -docker network create dgraph_default -``` - -**Run dgraph zero** - -```sh -mkdir ~/zero # Or any other directory where data should be stored. - -docker run -it -p 5080:5080 --network dgraph_default -p 6080:6080 -v ~/zero:/dgraph dgraph/dgraph:{{< version >}} dgraph zero --my=HOSTIPADDR:5080 -``` - -**Run dgraph alpha** -```sh -mkdir ~/server1 # Or any other directory where data should be stored. - -docker run -it -p 7080:7080 --network dgraph_default -p 8080:8080 -p 9080:9080 -v ~/server1:/dgraph dgraph/dgraph:{{< version >}} dgraph alpha --lru_mb= --zero=HOSTIPADDR:5080 --my=HOSTIPADDR:7080 -``` -```sh -mkdir ~/server2 # Or any other directory where data should be stored. - -docker run -it -p 7081:7081 --network dgraph_default -p 8081:8081 -p 9081:9081 -v ~/server2:/dgraph dgraph/dgraph:{{< version >}} dgraph alpha --lru_mb= --zero=HOSTIPADDR:5080 --my=HOSTIPADDR:7081 -o=1 -``` -Notice the use of -o for server2 to override the default ports for server2. - -**Run dgraph UI** -```sh -docker run -it -p 8000:8000 --network dgraph_default dgraph/dgraph:{{< version >}} dgraph-ratel -``` - -### Run using Docker Compose (On single AWS instance) - -We will use [Docker Machine](https://docs.docker.com/machine/overview/). It is a tool that lets you install Docker Engine on virtual machines and easily deploy applications. - -* [Install Docker Machine](https://docs.docker.com/machine/install-machine/) on your machine. - -{{% notice "note" %}}These instructions are for running Dgraph Alpha without TLS config. -Instructions for running with TLS refer [TLS instructions](#tls-configuration).{{% /notice %}} - -Here we'll go through an example of deploying Dgraph Zero, Alpha and Ratel on an AWS instance. - -* Make sure you have Docker Machine installed by following [instructions](https://docs.docker.com/machine/install-machine/), provisioning an instance on AWS is just one step away. You'll have to [configure your AWS credentials](http://docs.aws.amazon.com/sdk-for-java/v1/developer-guide/setup-credentials.html) for programmatic access to the Amazon API. - -* Create a new docker machine. - -```sh -docker-machine create --driver amazonec2 aws01 -``` - -Your output should look like - -```sh -Running pre-create checks... -Creating machine... -(aws01) Launching instance... -... -... -Docker is up and running! -To see how to connect your Docker Client to the Docker Engine running on this virtual machine, run: docker-machine env aws01 -``` - -The command would provision a `t2-micro` instance with a security group called `docker-machine` -(allowing inbound access on `2376` and `22`). You can either edit the security group to allow inbound access to `5080`, `8080`, `9080` (default ports for Dgraph Zero & Alpha) or you can provide your own security -group which allows inbound access on port `22`, `2376` (required by Docker Machine), `5080`, `8080` and `9080`. Remember port *`5080`* is only required if you are running Dgraph Live Loader or Dgraph Bulk Loader from outside. - -{{% notice "note" %}}Dgraph recommended memory is 7-8Gb. A `t2-micro` (free-tier eligible) is only provisioned with 1Gb and will not support larger schemas or data sets. We recommend using a `t2-large` (not free-tier eligible) or larger for a production server.{{% /notice %}} - -[Here](https://docs.docker.com/machine/drivers/aws/#options) is a list of full options for the `amazonec2` driver which allows you choose the instance type, security group, AMI among many other things. - -{{% notice "tip" %}}Docker machine supports [other drivers](https://docs.docker.com/machine/drivers/gce/) like GCE, Azure etc.{{% /notice %}} - -* Install and run Dgraph using docker-compose - -Docker Compose is a tool for running multi-container Docker applications. You can follow the -instructions [here](https://docs.docker.com/compose/install/) to install it. - -Run the command below to download the `docker-compose.yml` file on your machine. - -```sh -wget https://github.com/dgraph-io/dgraph/raw/master/contrib/config/docker/docker-compose.yml -``` - -{{% notice "note" %}}The config mounts `/tmp/data` on the instance to `/dgraph` within the -container for persistence. You will need to change this to a different directory to persists data as the `tmp` directory is only for illustration purposes and will not persist in that directory.{{% /notice %}} - -* Connect to the Docker Engine running on the machine. - -Running `docker-machine env aws01` tells us to run the command below to configure -our shell. -``` -eval $(docker-machine env aws01) -``` -This configures our Docker client to talk to the Docker engine running on the AWS Machine. - -Finally run the command below to start the Zero and Alpha. -``` -docker-compose up -d -``` -This would start 3 Docker containers running Dgraph Zero, Alpha and Ratel on the same machine. Docker would restart the containers in case there is any error. -You can look at the logs using `docker-compose logs`. - -## Multi Host Setup - -### Using Docker Swarm - -#### Cluster Setup Using Docker Swarm - -{{% notice "note" %}}These instructions are for running Dgraph Alpha without TLS config. -Instructions for running with TLS refer [TLS instructions](#tls-configuration).{{% /notice %}} - -Here we'll go through an example of deploying 3 Dgraph Alpha nodes and 1 Zero on three different AWS instances using Docker Swarm with a replication factor of 3. - -* Make sure you have Docker Machine installed by following [instructions](https://docs.docker.com/machine/install-machine/). - -```sh -docker-machine --version -``` - -* Create 3 instances on AWS and [install Docker Engine](https://docs.docker.com/engine/installation/) on them. This can be done manually or by using `docker-machine`. -You'll have to [configure your AWS credentials](http://docs.aws.amazon.com/sdk-for-java/v1/developer-guide/setup-credentials.html) to create the instances using Docker Machine. - -Considering that you have AWS credentials setup, you can use the below commands to start 3 AWS -`t2-medium` instances with Docker Engine installed on them. - -```sh -docker-machine create --driver amazonec2 --amazonec2-instance-type t2.medium aws01 -docker-machine create --driver amazonec2 --amazonec2-instance-type t2.medium aws02 -docker-machine create --driver amazonec2 --amazonec2-instance-type t2.medium aws03 -``` - -Your output should look like - -```sh -Running pre-create checks... -Creating machine... -(aws01) Launching instance... -... -... -Docker is up and running! -To see how to connect your Docker Client to the Docker Engine running on this virtual machine, run: docker-machine env aws01 -``` - -The command would provision a `t2-medium` instance with a security group called `docker-machine` -(allowing inbound access on 2376 and 22). - -You would need to edit the `docker-machine` security group to open inbound traffic on the following ports. - -1. Allow all inbound traffic on all ports with Source being `docker-machine` - security ports so that Docker related communication can happen easily. - -2. Also open inbound TCP traffic on the following ports required by Dgraph: - `5080`, `6080`, `8000`, `808[0-2]`, `908[0-2]`. Remember port *5080* is only - required if you are running Dgraph Live Loader or Dgraph Bulk Loader from - outside. You need to open `7080` to enable Alpha-to-Alpha communication in - case you have not opened all ports in #1. - -If you are on AWS, below is the security group (**docker-machine**) after -necessary changes. - -{{% load-img "/images/aws.png" "AWS Security Group" %}} - -[Here](https://docs.docker.com/machine/drivers/aws/#options) is a list of full options for the `amazonec2` driver which allows you choose the -instance type, security group, AMI among many other -things. - -{{% notice "tip" %}}Docker machine supports [other drivers](https://docs.docker.com/machine/drivers/gce/) like GCE, Azure etc.{{% /notice %}} - -Running `docker-machine ls` shows all the AWS EC2 instances that we started. -```sh -➜ ~ docker-machine ls -NAME ACTIVE DRIVER STATE URL SWARM DOCKER ERRORS -aws01 - amazonec2 Running tcp://34.200.239.30:2376 v17.11.0-ce -aws02 - amazonec2 Running tcp://54.236.58.120:2376 v17.11.0-ce -aws03 - amazonec2 Running tcp://34.201.22.2:2376 v17.11.0-ce -``` - -* Start the Swarm - -Docker Swarm has manager and worker nodes. Swarm can be started and updated on manager nodes. We - will setup `aws01` as swarm manager. You can first run the following commands to initialize the - swarm. - -We are going to use the internal IP address given by AWS. Run the following command to get the -internal IP for `aws01`. Lets assume `172.31.64.18` is the internal IP in this case. -``` -docker-machine ssh aws01 ifconfig eth0 -``` - -Now that we have the internal IP, let's initiate the Swarm. - -```sh -# This configures our Docker client to talk to the Docker engine running on the aws01 host. -eval $(docker-machine env aws01) -docker swarm init --advertise-addr 172.31.64.18 -``` - -Output: -``` -Swarm initialized: current node (w9mpjhuju7nyewmg8043ypctf) is now a manager. - -To add a worker to this swarm, run the following command: - - docker swarm join \ - --token SWMTKN-1-1y7lba98i5jv9oscf10sscbvkmttccdqtkxg478g3qahy8dqvg-5r5cbsntc1aamsw3s4h3thvgk \ - 172.31.64.18:2377 - -To add a manager to this swarm, run 'docker swarm join-token manager' and follow the instructions. -``` - -Now we will make other nodes join the swarm. - -```sh -eval $(docker-machine env aws02) -docker swarm join \ - --token SWMTKN-1-1y7lba98i5jv9oscf10sscbvkmttccdqtkxg478g3qahy8dqvg-5r5cbsntc1aamsw3s4h3thvgk \ - 172.31.64.18:2377 -``` - -Output: -``` -This node joined a swarm as a worker. -``` - -Similarly, aws03 -```sh -eval $(docker-machine env aws03) -docker swarm join \ - --token SWMTKN-1-1y7lba98i5jv9oscf10sscbvkmttccdqtkxg478g3qahy8dqvg-5r5cbsntc1aamsw3s4h3thvgk \ - 172.31.64.18:2377 -``` - -On the Swarm manager `aws01`, verify that your swarm is running. -```sh -docker node ls -``` - -Output: - -``` -ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS -ghzapjsto20c6d6l3n0m91zev aws02 Ready Active -rb39d5lgv66it1yi4rto0gn6a aws03 Ready Active -waqdyimp8llvca9i09k4202x5 * aws01 Ready Active Leader -``` - -* Start the Dgraph cluster - -Run the command below to download the `docker-compose-multi.yml` file on your machine. - -```sh -wget https://github.com/dgraph-io/dgraph/raw/master/contrib/config/docker/docker-compose-multi.yml -``` - -Run the following command on the Swarm leader to deploy the Dgraph Cluster. - -```sh -eval $(docker-machine env aws01) -docker stack deploy -c docker-compose-multi.yml dgraph -``` - -This should run three Dgraph Alpha services (one on each VM because of the -constraint we have), one Dgraph Zero service on aws01 and one Dgraph Ratel. - -These placement constraints (as seen in the compose file) are important so that -in case of restarting any containers, swarm places the respective Dgraph Alpha -or Zero containers on the same hosts to re-use the volumes. Also, if you are -running fewer than three hosts, make sure you use either different volumes or -run Dgraph Alpha with `-p p1 -w w1` options. - -{{% notice "note" %}} - -1. This setup would create and use a local volume called `dgraph_data-volume` on - the instances. If you plan to replace instances, you should use remote - storage like - [cloudstore](https://docs.docker.com/docker-for-aws/persistent-data-volumes) - instead of local disk. {{% /notice %}} - -You can verify that all services were created successfully by running: - -```sh -docker service ls -``` - -Output: - -``` -ID NAME MODE REPLICAS IMAGE PORTS -vp5bpwzwawoe dgraph_ratel replicated 1/1 dgraph/dgraph:latest *:8000->8000/tcp -69oge03y0koz dgraph_alpha2 replicated 1/1 dgraph/dgraph:latest *:8081->8081/tcp,*:9081->9081/tcp -kq5yks92mnk6 dgraph_alpha3 replicated 1/1 dgraph/dgraph:latest *:8082->8082/tcp,*:9082->9082/tcp -uild5cqp44dz dgraph_zero replicated 1/1 dgraph/dgraph:latest *:5080->5080/tcp,*:6080->6080/tcp -v9jlw00iz2gg dgraph_alpha1 replicated 1/1 dgraph/dgraph:latest *:8080->8080/tcp,*:9080->9080/tcp -``` - -To stop the cluster run: - -```sh -docker stack rm dgraph -``` - -### HA Cluster setup using Docker Swarm - -Here is a sample swarm config for running 6 Dgraph Alpha nodes and 3 Zero nodes on 6 different -ec2 instances. Setup should be similar to [Cluster setup using Docker Swarm]({{< relref "#cluster-setup-using-docker-swarm" >}}) apart from a couple of differences. This setup would ensure replication with sharding of data. The file assumes that there are six hosts available as docker-machines. Also if you are running on fewer than six hosts, make sure you use either different volumes or run Dgraph Alpha with `-p p1 -w w1` options. - -You would need to edit the `docker-machine` security group to open inbound traffic on the following ports. - -1. Allow all inbound traffic on all ports with Source being `docker-machine` security ports so that - docker related communication can happen easily. - -2. Also open inbound TCP traffic on the following ports required by Dgraph: `5080`, `8000`, `808[0-5]`, `908[0-5]`. Remember port *5080* is only required if you are running Dgraph Live Loader or Dgraph Bulk Loader from outside. You need to open `7080` to enable Alpha-to-Alpha communication in case you have not opened all ports in #1. - -If you are on AWS, below is the security group (**docker-machine**) after necessary changes. - -{{% load-img "/images/aws.png" "AWS Security Group" %}} - -Run the command below to download the `docker-compose-ha.yml` file on your machine. - -```sh -wget https://github.com/dgraph-io/dgraph/raw/master/contrib/config/docker/docker-compose-ha.yml -``` - -Run the following command on the Swarm leader to deploy the Dgraph Cluster. - -```sh -eval $(docker-machine env aws01) -docker stack deploy -c docker-compose-ha.yml dgraph -``` - -You can verify that all services were created successfully by running: - -```sh -docker service ls -``` - -Output: -``` -ID NAME MODE REPLICAS IMAGE PORTS -qck6v1lacvtu dgraph_alpha1 replicated 1/1 dgraph/dgraph:latest *:8080->8080/tcp, *:9080->9080/tcp -i3iq5mwhxy8a dgraph_alpha2 replicated 1/1 dgraph/dgraph:latest *:8081->8081/tcp, *:9081->9081/tcp -2ggma86bw7h7 dgraph_alpha3 replicated 1/1 dgraph/dgraph:latest *:8082->8082/tcp, *:9082->9082/tcp -wgn5adzk67n4 dgraph_alpha4 replicated 1/1 dgraph/dgraph:latest *:8083->8083/tcp, *:9083->9083/tcp -uzviqxv9fp2a dgraph_alpha5 replicated 1/1 dgraph/dgraph:latest *:8084->8084/tcp, *:9084->9084/tcp -nl1j457ko54g dgraph_alpha6 replicated 1/1 dgraph/dgraph:latest *:8085->8085/tcp, *:9085->9085/tcp -s11bwr4a6371 dgraph_ratel replicated 1/1 dgraph/dgraph:latest *:8000->8000/tcp -vchibvpquaes dgraph_zero1 replicated 1/1 dgraph/dgraph:latest *:5080->5080/tcp, *:6080->6080/tcp -199rezd7pw7c dgraph_zero2 replicated 1/1 dgraph/dgraph:latest *:5081->5081/tcp, *:6081->6081/tcp -yb8ella56oxt dgraph_zero3 replicated 1/1 dgraph/dgraph:latest *:5082->5082/tcp, *:6082->6082/tcp -``` - -To stop the cluster run: - -```sh -docker stack rm dgraph -``` - -{{% notice "note" %}} -1. This setup assumes that you are using 6 hosts, but if you are running fewer than 6 hosts then you have to either use different volumes between Dgraph alphas or use `-p` & `-w` to configure data directories. -2. This setup would create and use a local volume called `dgraph_data-volume` on the instances. If you plan to replace instances, you should use remote storage like [cloudstore](https://docs.docker.com/docker-for-aws/persistent-data-volumes) instead of local disk. {{% /notice %}} - -## Using Kubernetes - -The following section covers running Dgraph with Kubernetes. We have tested Dgraph with Kubernetes 1.14 to 1.15 on [GKE](https://cloud.google.com/kubernetes-engine) and [EKS](https://aws.amazon.com/eks/). - -{{% notice "note" %}}These instructions are for running Dgraph Alpha without TLS configuration. -Instructions for running with TLS refer [TLS instructions](#tls-configuration).{{% /notice %}} - -* Install [kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl/) which is used to deploy - and manage applications on kubernetes. -* Get the Kubernetes cluster up and running on a cloud provider of your choice. - * For Amazon [EKS](https://aws.amazon.com/eks/), you can use [eksctl](https://eksctl.io/) to quickly provision a new cluster. If you are new to this, Amazon has an article [Getting started with eksctl](https://docs.aws.amazon.com/eks/latest/userguide/getting-started-eksctl.html). - * For Google Cloud [GKE](https://cloud.google.com/kubernetes-engine), you can use [Google Cloud SDK](https://cloud.google.com/sdk/install) and the `gcloud container clusters create` command to quickly provision a new cluster. - -Verify that you have your cluster up and running using `kubectl get nodes`. If you used `eksctl` or `gcloud container clusters create` with the default options, you should have 2-3 worker nodes ready. - -On Amazon [EKS](https://aws.amazon.com/eks/), you would see something like this: - -```sh -➜ kubernetes git:(master) ✗ kubectl get nodes -NAME STATUS ROLES AGE VERSION -..compute.internal Ready 1m v1.15.11-eks-af3caf -..compute.internal Ready 1m v1.15.11-eks-af3caf -``` - -On Google Cloud [GKE](https://cloud.google.com/kubernetes-engine), you would see something like this: - -```sh -➜ kubernetes git:(master) ✗ kubectl get nodes -NAME STATUS ROLES AGE VERSION -gke--default-pool- Ready 41s v1.14.10-gke.36 -gke--default-pool- Ready 40s v1.14.10-gke.36 -gke--default-pool- Ready 41s v1.14.10-gke.36 -``` - -### Single Server - -Once your Kubernetes cluster is up, you can use [dgraph-single.yaml](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/kubernetes/dgraph-single/dgraph-single.yaml) to start a Zero, Alpha, and Ratel UI services. - -#### Deploy Single Server - -From your machine, run the following command to start a StatefulSet that creates a single Pod with Zero, Alpha, and Ratel UI running in it. - -```sh -kubectl create --filename https://raw.githubusercontent.com/dgraph-io/dgraph/master/contrib/config/kubernetes/dgraph-single/dgraph-single.yaml -``` - -Output: -``` -service/dgraph-public created -statefulset.apps/dgraph created -``` - -#### Verify Single Server - -Confirm that the pod was created successfully. - -```sh -kubectl get pods -``` - -Output: -``` -NAME READY STATUS RESTARTS AGE -dgraph-0 3/3 Running 0 1m -``` - -{{% notice "tip" %}} -You can check the logs for the containers in the pod using -`kubectl logs --follow dgraph-0 `. For example, try -`kubectl logs --follow dgraph-0 alpha` for server logs. -{{% /notice %}} - -#### Test Single Server Setup - -Port forward from your local machine to the pod - -```sh -kubectl port-forward pod/dgraph-0 8080:8080 -kubectl port-forward pod/dgraph-0 8000:8000 -``` - -Go to `http://localhost:8000` and verify Dgraph is working as expected. - -#### Remove Single Server Resources - -Delete all the resources - -```sh -kubectl delete --filename https://raw.githubusercontent.com/dgraph-io/dgraph/master/contrib/config/kubernetes/dgraph-single/dgraph-single.yaml -kubectl delete persistentvolumeclaims --selector app=dgraph -``` - -### HA Cluster Setup Using Kubernetes - -This setup allows you to run 3 Dgraph Alphas and 3 Dgraph Zeros. We start Zero with `--replicas -3` flag, so all data would be replicated on 3 Alphas and form 1 alpha group. - -{{% notice "note" %}} Ideally you should have at least three worker nodes as part of your Kubernetes -cluster so that each Dgraph Alpha runs on a separate worker node.{{% /notice %}} - -#### Validate Kubernetes Cluster for HA - -Check the nodes that are part of the Kubernetes cluster. - -```sh -kubectl get nodes -``` - -Output for Amazon [EKS](https://aws.amazon.com/eks/): - -```sh -NAME STATUS ROLES AGE VERSION -..compute.internal Ready 1m v1.15.11-eks-af3caf -..compute.internal Ready 1m v1.15.11-eks-af3caf -..compute.internal Ready 1m v1.15.11-eks-af3caf -``` - -Output for Google Cloud [GKE](https://cloud.google.com/kubernetes-engine) - -```sh -NAME STATUS ROLES AGE VERSION -gke--default-pool- Ready 41s v1.14.10-gke.36 -gke--default-pool- Ready 40s v1.14.10-gke.36 -gke--default-pool- Ready 41s v1.14.10-gke.36 -``` - -Once your Kubernetes cluster is up, you can use [dgraph-ha.yaml](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/kubernetes/dgraph-ha/dgraph-ha.yaml) to start the cluster. - -#### Deploy Dgraph HA Cluster - -From your machine, run the following command to start the cluster. - -```sh -kubectl create --filename https://raw.githubusercontent.com/dgraph-io/dgraph/master/contrib/config/kubernetes/dgraph-ha/dgraph-ha.yaml -``` - -Output: -```sh -service/dgraph-zero-public created -service/dgraph-alpha-public created -service/dgraph-ratel-public created -service/dgraph-zero created -service/dgraph-alpha created -statefulset.apps/dgraph-zero created -statefulset.apps/dgraph-alpha created -deployment.apps/dgraph-ratel created -``` - -#### Verify Dgraph HA Cluster - -Confirm that the pods were created successfully. - -It may take a few minutes for the pods to come up. - -```sh -kubectl get pods -``` - -Output: -```sh -NAME READY STATUS RESTARTS AGE -dgraph-alpha-0 1/1 Running 0 6m24s -dgraph-alpha-1 1/1 Running 0 5m42s -dgraph-alpha-2 1/1 Running 0 5m2s -dgraph-ratel- 1/1 Running 0 6m23s -dgraph-zero-0 1/1 Running 0 6m24s -dgraph-zero-1 1/1 Running 0 5m41s -dgraph-zero-2 1/1 Running 0 5m6s -``` - - -{{% notice "tip" %}}You can check the logs for the containers in the pod using `kubectl logs --follow dgraph-alpha-0` and `kubectl logs --follow dgraph-zero-0`.{{% /notice %}} - -#### Test Dgraph HA Cluster Setup - -Port forward from your local machine to the pod - -```sh -kubectl port-forward service/dgraph-alpha-public 8080:8080 -kubectl port-forward service/dgraph-ratel-public 8000:8000 -``` - -Go to `http://localhost:8000` and verify Dgraph is working as expected. - -{{% notice "note" %}} You can also access the service on its External IP address.{{% /notice %}} - -#### Delete Dgraph HA Cluster Resources - -Delete all the resources - -```sh -kubectl delete --filename https://raw.githubusercontent.com/dgraph-io/dgraph/master/contrib/config/kubernetes/dgraph-ha/dgraph-ha.yaml -kubectl delete persistentvolumeclaims --selector app=dgraph-zero -kubectl delete persistentvolumeclaims --selector app=dgraph-alpha -``` - -### Using Helm Chart - -Once your Kubernetes cluster is up, you can make use of the Helm chart present -[in our official helm repository here](https://github.com/dgraph-io/charts/) to bring -up a Dgraph cluster. - -{{% notice "note" %}}The instructions below are for Helm versions >= 3.x.{{% /notice %}} - -#### Installing the Chart - -To add the Dgraph helm repository: - -```sh -helm repo add dgraph https://charts.dgraph.io -``` - -To install the chart with the release name `my-release`: - -```sh -helm install my-release dgraph/dgraph -``` - -The above command will install the latest available dgraph docker image. In order to install the older versions: - -```sh -helm install my-release dgraph/dgraph --set image.tag="latest" -``` - -By default zero and alpha services are exposed only within the kubernetes cluster as -kubernetes service type `ClusterIP`. In order to expose the alpha service publicly -you can use kubernetes service type `LoadBalancer`: - -```sh -helm install my-release dgraph/dgraph --set alpha.service.type="LoadBalancer" -``` - -Similarly, you can expose alpha and ratel service to the internet as follows: - -```sh -helm install my-release dgraph/dgraph --set alpha.service.type="LoadBalancer" --set ratel.service.type="LoadBalancer" -``` - -#### Upgrading the Chart - -You can update your cluster configuration by updating the configuration of the -Helm chart. Dgraph is a stateful database that requires some attention on -upgrading the configuration carefully in order to update your cluster to your -desired configuration. - -In general, you can use [`helm upgrade`][helm-upgrade] to update the -configuration values of the cluster. Depending on your change, you may need to -upgrade the configuration in multiple steps following the steps below. - -[helm-upgrade]: https://helm.sh/docs/helm/helm_upgrade/ - -**Upgrade to HA cluster setup** - -To upgrade to an [HA cluster setup]({{< relref "#ha-cluster-setup" >}}), ensure -that the shard replication setting is more than 1. When `zero.shardReplicaCount` -is not set to an HA configuration (3 or 5), follow the steps below: - -1. Set the shard replica flag on the Zero node group. For example: `zero.shardReplicaCount=3`. -2. Next, run the Helm upgrade command to restart the Zero node group: - ```sh - helm upgrade my-release dgraph/dgraph [options] - ``` -3. Now set the Alpha replica count flag. For example: `alpha.replicaCount=3`. -4. Finally, run the Helm upgrade command again: - ```sh - helm upgrade my-release dgraph/dgraph [options] - ``` - - -#### Deleting the Chart - -Delete the Helm deployment as normal - -```sh -helm delete my-release -``` -Deletion of the StatefulSet doesn't cascade to deleting associated PVCs. To delete them: - -```sh -kubectl delete pvc --selector release=my-release -``` - -#### Configuration - -The latest configuration settings can be found: -* https://github.com/dgraph-io/charts/blob/master/charts/dgraph/README.md#configuration - -### Monitoring in Kubernetes - -Dgraph exposes prometheus metrics to monitor the state of various components involved in the cluster, this includes dgraph alpha and zero. - -Follow the below mentioned steps to setup prometheus monitoring for your cluster: - -* Install Prometheus operator: - -```sh -kubectl apply -f https://raw.githubusercontent.com/coreos/prometheus-operator/release-0.34/bundle.yaml -``` - -* Ensure that the instance of `prometheus-operator` has started before continuing. - -```sh -$ kubectl get deployments prometheus-operator -NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE -prometheus-operator 1 1 1 1 3m -``` - -* Apply prometheus manifest present [here](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/monitoring/prometheus/prometheus.yaml). - -```sh -$ kubectl apply -f prometheus.yaml - -serviceaccount/prometheus-dgraph-io created -clusterrole.rbac.authorization.k8s.io/prometheus-dgraph-io created -clusterrolebinding.rbac.authorization.k8s.io/prometheus-dgraph-io created -servicemonitor.monitoring.coreos.com/alpha.dgraph-io created -servicemonitor.monitoring.coreos.com/zero-dgraph-io created -prometheus.monitoring.coreos.com/dgraph-io created -``` - -To view prometheus UI locally run: - -```sh -kubectl port-forward prometheus-dgraph-io-0 9090:9090 -``` - -The UI is accessible at port 9090. Open http://localhost:9090 in your browser to play around. - -To register alerts from dgraph cluster with your prometheus deployment follow the steps below: - -* Create a kubernetes secret containing alertmanager configuration. Edit the configuration file present [here](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/monitoring/prometheus/alertmanager-config.yaml) -with the required reciever configuration including the slack webhook credential and create the secret. - -You can find more information about alertmanager configuration [here](https://prometheus.io/docs/alerting/configuration/). - -```sh -$ kubectl create secret generic alertmanager-alertmanager-dgraph-io --from-file=alertmanager.yaml=alertmanager-config.yaml - -$ kubectl get secrets -NAME TYPE DATA AGE -alertmanager-alertmanager-dgraph-io Opaque 1 87m -``` - -* Apply the [alertmanager](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/monitoring/prometheus/alertmanager.yaml) along with [alert-rules](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/monitoring/prometheus/alert-rules.yaml) manifest -to use the default configured alert configuration. You can also add custom rules based on the metrics exposed by dgraph cluster similar to [alert-rules](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/monitoring/prometheus/alert-rules.yaml) -manifest. - -```sh -$ kubectl apply -f alertmanager.yaml -alertmanager.monitoring.coreos.com/alertmanager-dgraph-io created -service/alertmanager-dgraph-io created - -$ kubectl apply -f alert-rules.yaml -prometheusrule.monitoring.coreos.com/prometheus-rules-dgraph-io created -``` - -### Kubernetes Storage - -The Kubernetes configurations in the previous sections were configured to run -Dgraph with any storage type (`storage-class: anything`). On the common cloud -environments like AWS, GCP, and Azure, the default storage type are slow disks -like hard disks or low IOPS SSDs. We highly recommend using faster disks for -ideal performance when running Dgraph. - -#### Local storage - -The AWS storage-optimized i-class instances provide locally attached NVMe-based -SSD storage which provide consistent very high IOPS. The Dgraph team uses -i3.large instances on AWS to test Dgraph. - -You can create a Kubernetes `StorageClass` object to provision a specific type -of storage volume which you can then attach to your Dgraph pods. You can set up -your cluster with local SSDs by using [Local Persistent -Volumes](https://kubernetes.io/blog/2018/04/13/local-persistent-volumes-beta/). -This Kubernetes feature is in beta at the time of this writing (Kubernetes -v1.13.1). You can first set up an EC2 instance with locally attached storage. -Once it is formatted and mounted properly, then you can create a StorageClass to -access it.: - -```yaml -apiVersion: storage.k8s.io/v1 -kind: StorageClass -metadata: - name: -provisioner: kubernetes.io/no-provisioner -volumeBindingMode: WaitForFirstConsumer -``` - -Currently, Kubernetes does not allow automatic provisioning of local storage. So -a PersistentVolume with a specific mount path should be created: - -```yaml -apiVersion: v1 -kind: PersistentVolume -metadata: - name: -spec: - capacity: - storage: 475Gi - volumeMode: Filesystem - accessModes: - - ReadWriteOnce - persistentVolumeReclaimPolicy: Delete - storageClassName: - local: - path: /data - nodeAffinity: - required: - nodeSelectorTerms: - - matchExpressions: - - key: kubernetes.io/hostname - operator: In - values: - - -``` - -Then, in the StatefulSet configuration you can claim this local storage in -.spec.volumeClaimTemplate: - -``` -kind: StatefulSet -... - volumeClaimTemplates: - - metadata: - name: datadir - spec: - accessModes: - - ReadWriteOnce - storageClassName: - resources: - requests: - storage: 500Gi -``` - -You can repeat these steps for each instance that's configured with local -node storage. - -#### Non-local persistent disks - -EBS volumes on AWS and PDs on GCP are persistent disks that can be configured -with Dgraph. The disk performance is much lower than locally attached storage -but can be sufficient for your workload such as testing environments. - -When using EBS volumes on AWS, we recommend using Provisioned IOPS SSD EBS -volumes (the io1 disk type) which provide consistent IOPS. The available IOPS -for AWS EBS volumes is based on the total disk size. With Kubernetes, you can -request io1 disks to be provisioned with this config with 50 IOPS/GB using the -`iopsPerGB` parameter: - -``` -kind: StorageClass -apiVersion: storage.k8s.io/v1 -metadata: - name: -provisioner: kubernetes.io/aws-ebs -parameters: - type: io1 - iopsPerGB: "50" - fsType: ext4 -``` - -Example: Requesting a disk size of 250Gi with this storage class would provide -12.5K IOPS. - -### Removing a Dgraph Pod - -In the event that you need to completely remove a pod (e.g., its disk got -corrupted and data cannot be recovered), you can use the `/removeNode` API to -remove the node from the cluster. With a Kubernetes StatefulSet, you'll need to -remove the node in this order: - -1. On the Zero leader, call `/removeNode` to remove the Dgraph instance from - the cluster (see [More about Dgraph Zero]({{< relref - "#more-about-dgraph-zero" >}})). The removed instance will immediately stop - running. Any further attempts to join the cluster will fail for that instance - since it has been removed. -2. Remove the PersistentVolumeClaim associated with the pod to delete its data. - This prepares the pod to join with a clean state. -3. Restart the pod. This will create a new PersistentVolumeClaim to create new - data directories. - -When an Alpha pod restarts in a replicated cluster, it will join as a new member -of the cluster, be assigned a group and an unused index from Zero, and receive -the latest snapshot from the Alpha leader of the group. - -When a Zero pod restarts, it must join the existing group with an unused index -ID. The index ID is set with the `--idx` flag. This may require the StatefulSet -configuration to be updated. - -### Kubernetes and Bulk Loader - -You may want to initialize a new cluster with an existing data set such as data -from the [Dgraph Bulk Loader]({{< relref "#bulk-loader" >}}). You can use [Init -Containers](https://kubernetes.io/docs/concepts/workloads/pods/init-containers/) -to copy the data to the pod volume before the Alpha process runs. - -See the `initContainers` configuration in -[dgraph-ha.yaml](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/kubernetes/dgraph-ha/dgraph-ha.yaml) -to learn more. - -## More about Dgraph Alpha - -On its HTTP port, a Dgraph Alpha exposes a number of admin endpoints. -{{% notice "warning" %}} -These HTTP endpoints are deprecated and will be removed in the next release. Please use the GraphQL endpoint at /admin. -{{% /notice %}} - -* `/health?all` returns information about the health of all the servers in the cluster. -* `/admin/shutdown` initiates a proper [shutdown]({{< relref "#shutdown" >}}) of the Alpha. -* `/admin/export` initiates a data [export]({{< relref "#export" >}}). The exported data will be -encrypted if the alpha instance was configured with an encryption key file. - -By default the Alpha listens on `localhost` for admin actions (the loopback address only accessible from the same machine). The `--bindall=true` option binds to `0.0.0.0` and thus allows external connections. - -{{% notice "tip" %}}Set max file descriptors to a high value like 10000 if you are going to load a lot of data.{{% /notice %}} - -### Querying Health - -You can query the `/admin` graphql endpoint with a query like the one below to get a JSON consisting of basic information about health of all the servers in the cluster. - -```graphql -query { - health { - instance - address - version - status - lastEcho - group - uptime - ongoing - indexing - } -} -``` - -Here’s an example of JSON returned from the above query: - -```json -{ - "data": { - "health": [ - { - "instance": "zero", - "address": "localhost:5080", - "version": "v2.0.0-rc1", - "status": "healthy", - "lastEcho": 1582827418, - "group": "0", - "uptime": 1504 - }, - { - "instance": "alpha", - "address": "localhost:7080", - "version": "v2.0.0-rc1", - "status": "healthy", - "lastEcho": 1582827418, - "group": "1", - "uptime": 1505, - "ongoing": ["opIndexing"], - "indexing": ["name", "age"] - } - ] - } -} -``` - -- `instance`: Name of the instance. Either `alpha` or `zero`. -- `status`: Health status of the instance. Either `healthy` or `unhealthy`. -- `version`: Version of Dgraph running the Alpha or Zero server. -- `uptime`: Time in nanoseconds since the Alpha or Zero server is up and running. -- `address`: IP_ADDRESS:PORT of the instance. -- `group`: Group assigned based on the replication factor. Read more [here]({{< relref "/deploy/index.md#cluster-setup" >}}). -- `lastEcho`: Last time, in Unix epoch, when the instance was contacted by another Alpha or Zero server. -- `ongoing`: List of ongoing operations in the background. -- `indexing`: List of predicates for which indexes are built in the background. Read more [here]({{< relref "/query-language/index.md#indexes-in-background" >}}). - -The same information (except `ongoing` and `indexing`) is available from the `/health` and `/health?all` endpoints of Alpha server. - -## More about Dgraph Zero - -Dgraph Zero controls the Dgraph cluster. It automatically moves data between -different Dgraph Alpha instances based on the size of the data served by each Alpha instance. - -It is mandatory to run at least one `dgraph zero` node before running any `dgraph alpha`. -Options present for `dgraph zero` can be seen by running `dgraph zero --help`. - -* Zero stores information about the cluster. -* `--replicas` is the option that controls the replication factor. (i.e. number of replicas per data shard, including the original shard) -* When a new Alpha joins the cluster, it is assigned a group based on the replication factor. If the replication factor is 1 then each Alpha node will serve different group. If replication factor is 2 and you launch 4 Alphas, then first two Alphas would serve group 1 and next two machines would serve group 2. -* Zero also monitors the space occupied by predicates in each group and moves them around to rebalance the cluster. - -Like Alpha, Zero also exposes HTTP on 6080 (+ any `--port_offset`). You can query (**GET** request) it -to see useful information, like the following: - -* `/state` Information about the nodes that are part of the cluster. Also contains information about -size of predicates and groups they belong to. -* `/assign?what=uids&num=100` This would allocate `num` uids and return a JSON map -containing `startId` and `endId`, both inclusive. This id range can be safely assigned -externally to new nodes during data ingestion. -* `/assign?what=timestamps&num=100` This would request timestamps from Zero. -This is useful to fast forward Zero state when starting from a postings -directory, which already has commits higher than Zero's leased timestamp. -* `/removeNode?id=3&group=2` If a replica goes down and can't be recovered, you -can remove it and add a new node to the quorum. This endpoint can be used to -remove a dead Zero or Dgraph Alpha node. To remove dead Zero nodes, pass -`group=0` and the id of the Zero node. - -{{% notice "note" %}} -Before using the API ensure that the node is down and ensure that it doesn't come back up ever again. - -You should not use the same `idx` of a node that was removed earlier. -{{% /notice %}} - -* `/moveTablet?tablet=name&group=2` This endpoint can be used to move a tablet to a group. Zero -already does shard rebalancing every 8 mins, this endpoint can be used to force move a tablet. - - -These are the **POST** endpoints available: - -* `/enterpriseLicense` Use endpoint to apply an enterprise license to the cluster by supplying it -as part of the body. - -### More about /state endpoint - -The `/state` endpoint of Dgraph Zero returns a JSON document of the current group membership info: - -- Instances which are part of the cluster. -- Number of instances in Zero group and each Alpha groups. -- Current leader of each group. -- Predicates that belong to a group. -- Estimated size in bytes of each predicate. -- Enterprise license information. -- Max Leased transaction ID. -- Max Leased UID. -- CID (Cluster ID). - -Here’s an example of JSON returned from `/state` endpoint for a 6-node Dgraph cluster with three replicas: - -```json -{ - "counter": "15", - "groups": { - "1": { - "members": { - "1": { - "id": "1", - "groupId": 1, - "addr": "alpha1:7080", - "leader": true, - "lastUpdate": "1576112366" - }, - "2": { - "id": "2", - "groupId": 1, - "addr": "alpha2:7080" - }, - "3": { - "id": "3", - "groupId": 1, - "addr": "alpha3:7080" - } - }, - "tablets": { - "counter.val": { - "groupId": 1, - "predicate": "counter.val" - }, - "dgraph.type": { - "groupId": 1, - "predicate": "dgraph.type" - } - }, - "checksum": "1021598189643258447" - } - }, - "zeros": { - "1": { - "id": "1", - "addr": "zero1:5080", - "leader": true - }, - "2": { - "id": "2", - "addr": "zero2:5080" - }, - "3": { - "id": "3", - "addr": "zero3:5080" - } - }, - "maxLeaseId": "10000", - "maxTxnTs": "10000", - "cid": "3602537a-ee49-43cb-9792-c766eea683dc", - "license": { - "maxNodes": "18446744073709551615", - "expiryTs": "1578704367", - "enabled": true - } -} -``` - -Here’s the information the above JSON document provides: - -- Group 0 - - members - - zero1:5080, id: 1, leader - - zero2:5080, id: 2 - - zero3:5080, id: 3 -- Group 1 - - members - - alpha1:7080, id: 1, leader - - alpha2:7080, id: 2 - - alpha3:7080, id: 3 - - predicates - - dgraph.type - - counter.val -- Enterprise license - - Enabled - - maxNodes: unlimited - - License expires on Friday, January 10, 2020 4:59:27 PM GMT-08:00 (converted from epoch timestamp) -- Other data: - - maxTxnTs - - The current max lease of transaction timestamps used to hand out start timestamps - and commit timestamps. - - This increments in batches of 10,000 IDs. Once the max lease is reached, another - 10,000 IDs are leased. In the event that the Zero leader is lost, then the new - leader starts a brand new lease from maxTxnTs+1 . Any lost transaction IDs - in-between will never be used. - - An admin can use the Zero endpoint HTTP GET `/assign?what=timestamps&num=1000` to - increase the current transaction timestamp (in this case, by 1000). This is mainly - useful in special-case scenarios, e.g., using an existing p directory to a fresh - cluster in order to be able to query the latest data in the DB. - - maxLeaseId - - The current max lease of UIDs used for blank node UID assignment. - - This increments in batches of 10,000 IDs. Once the max lease is reached, another - 10,000 IDs are leased. In the event that the Zero leader is lost, the new leader - starts a brand new lease from maxLeaseId+1. Any UIDs lost in-between will never - be used for blank-node UID assignment. - - An admin can use the Zero endpoint HTTP GET `/assign?what=uids&num=1000` to - reserve a range of UIDs (in this case, 1000) to use externally (Zero will NEVER - use these UIDs for blank node UID assignment, so the user can use the range - to assign UIDs manually to their own data sets. - - CID - - This is a unique UUID representing the *cluster-ID* for this cluster. It is generated - during the initial DB startup and is retained across restarts. - - Group checksum - - This is the checksum verification of the data per Alpha group. This is used internally - to verify group memberships in the event of a tablet move. - -{{% notice "note" %}} -"tablet", "predicate", and "edge" are synonymous terms today. The future plan to -improve data scalability is to shard a predicate into separate tablets that could -be assigned to different groups. -{{% /notice %}} - -## Log Format - -Dgraph's log format comes from the glog library and is [formatted](https://github.com/golang/glog/blob/23def4e6c14b4da8ac2ed8007337bc5eb5007998/glog.go#L523-L533) as follows: - - `Lmmdd hh:mm:ss.uuuuuu threadid file:line] msg...` - -Where the fields are defined as follows: - -``` - L A single character, representing the log level (eg 'I' for INFO) - mm The month (zero padded; ie May is '05') - dd The day (zero padded) - hh:mm:ss.uuuuuu Time in hours, minutes and fractional seconds - threadid The space-padded thread ID as returned by GetTID() - file The file name - line The line number - msg The user-supplied message -``` - -### Query Logging - -To enable query logging, you must set `-v=3` which will enable verbose logging for everything. Alternatively, you can set `--vmodule=server=3` for only the dgraph/server.go file which would only enable query/mutation logging. - -## TLS configuration - -{{% notice "note" %}} -This section refers to the `dgraph cert` command which was introduced in v1.0.9. For previous releases, see the previous [TLS configuration documentation](https://dgraph.io/docs/v1.0.7/deploy/#tls-configuration). -{{% /notice %}} - - -Connections between client and server can be secured with TLS. Password protected private keys are **not supported**. - -{{% notice "tip" %}}If you're generating encrypted private keys with `openssl`, be sure to specify encryption algorithm explicitly (like `-aes256`). This will force `openssl` to include `DEK-Info` header in private key, which is required to decrypt the key by Dgraph. When default encryption is used, `openssl` doesn't write that header and key can't be decrypted.{{% /notice %}} - -### Dgraph Certificate Management Tool - -The `dgraph cert` program creates and manages CA-signed certificates and private keys using a generated Dgraph Root CA. The `dgraph cert` command simplifies certificate management for you. - -```sh -# To see the available flags. -$ dgraph cert --help - -# Create Dgraph Root CA, used to sign all other certificates. -$ dgraph cert - -# Create node certificate and private key -$ dgraph cert -n localhost - -# Create client certificate and private key for mTLS (mutual TLS) -$ dgraph cert -c dgraphuser - -# Combine all in one command -$ dgraph cert -n localhost -c dgraphuser - -# List all your certificates and keys -$ dgraph cert ls -``` - -Node certificates by default are valid for 365 days. To adjust the validity duration, you can use the `--duration` option. - -#### File naming conventions - -To enable TLS you must specify the directory path to find certificates and keys. The default location where the _cert_ command stores certificates (and keys) is `tls` under the Dgraph working directory; where the data files are found. The default dir path can be overridden using the `--dir` option. - -```sh -$ dgraph cert --dir ~/mycerts -``` - -The following file naming conventions are used by Dgraph for proper TLS setup. - -| File name | Description | Use | -|-----------|-------------|-------| -| ca.crt | Dgraph Root CA certificate | Verify all certificates | -| ca.key | Dgraph CA private key | Validate CA certificate | -| node.crt | Dgraph node certificate | Shared by all nodes for accepting TLS connections | -| node.key | Dgraph node private key | Validate node certificate | -| client._name_.crt | Dgraph client certificate | Authenticate a client _name_ | -| client._name_.key | Dgraph client private key | Validate _name_ client certificate | - -The Root CA certificate is used for verifying node and client certificates, if changed you must regenerate all certificates. - -For client authentication, each client must have their own certificate and key. These are then used to connect to the Dgraph node(s). - -The node certificate `node.crt` can support multiple node names using multiple host names and/or IP address. Just separate the names with commas when generating the certificate. - -```sh -$ dgraph cert -n localhost,104.25.165.23,dgraph.io,2400:cb00:2048:1::6819:a417 -``` - -{{% notice "tip" %}}You must delete the old node cert and key before you can generate a new pair.{{% /notice %}} - -{{% notice "note" %}}When using host names for node certificates, including _localhost_, your clients must connect to the matching host name -- such as _localhost_ not 127.0.0.1. If you need to use IP addresses, then add them to the node certificate.{{% /notice %}} - -#### Certificate inspection - -The command `dgraph cert ls` lists all certificates and keys in the `--dir` directory (default 'tls'), along with details to inspect and validate cert/key pairs. - -Example of command output: - -```sh --rw-r--r-- ca.crt - Dgraph Root CA certificate - Issuer: Dgraph Labs, Inc. - S/N: 0b618b0771411b - Expiration: 13 Jul 30 20:12 UTC -SHA-256 Digest: 92248D16 FC3368EA 9C2C2B57 CC1657BC F41CB095 AB808700 80ED1A9B 38C7E5F8 - --r-------- ca.key - Dgraph Root CA key - Algorithm: RSA 2048 bits (PKCS#1) -SHA-256 Digest: 92248D16 FC3368EA 9C2C2B57 CC1657BC F41CB095 AB808700 80ED1A9B 38C7E5F8 - --rw-r--r-- client.dgraphuser.crt - Dgraph client certificate: dgraphuser - Issuer: Dgraph Labs, Inc. - CA Verify: PASSED - S/N: 23012b9183fdf9f5 - Expiration: 14 Jul 21 20:14 UTC -SHA-256 Digest: 800798FA 2938CAB4 7AA1A655 A7EB3053 81CE6031 3147C12A 50DBA682 83FF85DA - --rw------- client.dgraphuser.key - Dgraph Client key - Algorithm: RSA 2048 bits (PKCS#1) -SHA-256 Digest: 800798FA 2938CAB4 7AA1A655 A7EB3053 81CE6031 3147C12A 50DBA682 83FF85DA - --rw-r--r-- node.crt - Dgraph Node certificate - Issuer: Dgraph Labs, Inc. - CA Verify: PASSED - S/N: 4241d25148e478bd - Expiration: 14 Jul 21 20:12 UTC - Hosts: localhost -SHA-256 Digest: 23302165 DE675EFA 11ABAD0C 3B11CC6E BD5B33F1 7B4DB140 80224D21 F834853B - --rw------- node.key - Dgraph Node key - Algorithm: RSA 2048 bits (PKCS#1) -SHA-256 Digest: 23302165 DE675EFA 11ABAD0C 3B11CC6E BD5B33F1 7B4DB140 80224D21 F834853B -``` - -Important points: - -* The cert/key pairs should always have matching SHA-256 digests. Otherwise, the cert(s) must be - regenerated. If the Root CA pair differ, all cert/key must be regenerated; the flag `--force` - can help. -* All certificates must pass Dgraph CA verification. -* All key files should have the least access permissions, especially the `ca.key`, but be readable. -* Key files won't be overwritten if they have limited access, even with `--force`. -* Node certificates are only valid for the hosts listed. -* Client certificates are only valid for the named client/user. - -### TLS Options - -The following configuration options are available for Alpha: - -* `--tls_dir string` - TLS dir path; this enables TLS connections (usually 'tls'). -* `--tls_use_system_ca` - Include System CA with Dgraph Root CA. -* `--tls_client_auth string` - TLS client authentication used to validate client connection. See [Client Authentication Options](#client-authentication-options) for details. - -Dgraph Live Loader can be configured with the following options: - -* `--tls_cacert string` - Dgraph Root CA, such as `./tls/ca.crt` -* `--tls_use_system_ca` - Include System CA with Dgraph Root CA. -* `--tls_cert` - User cert file provided by the client to Alpha -* `--tls_key` - User private key file provided by the client to Alpha -* `--tls_server_name string` - Server name, used for validating the server's TLS host name. - - -#### Using TLS without Client Authentication - -For TLS without client authentication, you can configure certificates and run Alpha server using the following: - -```sh -# First, create rootca and node certificates and private keys -$ dgraph cert -n localhost -# Default use for enabling TLS server (after generating certificates and private keys) -$ dgraph alpha --tls_dir tls -``` - -You can then run Dgraph live loader using the following: - -```sh -# Now, connect to server using TLS -$ dgraph live --tls_cacert ./tls/ca.crt --tls_server_name "localhost" -s 21million.schema -f 21million.rdf.gz -``` - -#### Using TLS with Client Authentication - -If you do require Client Authentication (Mutual TLS), you can configure certificates and run Alpha server using the following: - -```sh -# First, create a rootca, node, and client certificates and private keys -$ dgraph cert -n localhost -c dgraphuser -# Default use for enabling TLS server with client authentication (after generating certificates and private keys) -$ dgraph alpha --tls_dir tls --tls_client_auth="REQUIREANDVERIFY" -``` - -You can then run Dgraph live loader using the following: - -```sh -# Now, connect to server using mTLS (mutual TLS) -$ dgraph live \ - --tls_cacert ./tls/ca.crt \ - --tls_cert ./tls/client.dgraphuser.crt \ - --tls_key ./tls/client.dgraphuser.key \ - --tls_server_name "localhost" \ - -s 21million.schema \ - -f 21million.rdf.gz -``` - -#### Client Authentication Options - -The server will always **request** Client Authentication. There are four different values for the `--tls_client_auth` option that change the security policy of the client certificate. - -| Value | Client Cert/Key | Client Certificate Verified | -|--------------------|-----------------|--------------------| -| `REQUEST` | optional | Client certificate is not VERIFIED if provided. (least secure) | -| `REQUIREANY` | required | Client certificate is never VERIFIED | -| `VERIFYIFGIVEN` | optional | Client certificate is VERIFIED if provided (default) | -| `REQUIREANDVERIFY` | required | Client certificate is always VERIFIED (most secure) | - -{{% notice "note" %}}REQUIREANDVERIFY is the most secure but also the most difficult to configure for remote clients. When using this value, the value of `--tls_server_name` is matched against the certificate SANs values and the connection host.{{% /notice %}} - -### Using Ratel UI with Client authentication - -Ratel UI (and any other JavaScript clients built on top of `dgraph-js-http`) -connect to Dgraph servers via HTTP, when TLS is enabled servers begin to expect -HTTPS requests only. Therefore some adjustments need to be made. - -If the `--tls_client_auth` option is set to `REQUEST`or `VERIFYIFGIVEN` (default): - -1. Change the connection URL from `http://` to `https://` (e.g. `https://127.0.0.1:8080`). -2. Install / make trusted the certificate of the Dgraph certificate authority `ca.crt`. Refer to the documentation of your OS / browser for instructions -(e.g. on Mac OS this means adding `ca.crt` to the KeyChain and making it trusted -for `Secure Socket Layer`). - -For `REQUIREANY` and `REQUIREANDVERIFY` you need to follow the steps above and -also need to install client certificate on your OS / browser: - -1. Generate a client certificate: `dgraph cert -c MyLaptop`. -2. Convert it to a `.p12` file: -`openssl pkcs12 -export -out MyLaptopCert.p12 -in tls/client.MyLaptop.crt -inkey tls/client.MyLaptop.key`. Use any password you like for export. -3. Install the generated `MyLaptopCert.p12` file on the client system -(on Mac OS this means simply double-click the file in Finder). -4. Next time you use Ratel to connect to an alpha with Client authentication -enabled the browser will prompt you for a client certificate to use. Select the -certificate you've just installed in the step above and queries/mutations will -succeed. - -### Using Curl with Client authentication - -When TLS is enabled, `curl` requests to Dgraph will need some specific options to work. For instance (for an export request): - -``` -curl --silent --cacert ./tls/ca.crt https://localhost:8080/admin/export -``` - -If you are using `curl` with [Client Authentication](#client-authentication-options) set to `REQUIREANY` or `REQUIREANDVERIFY`, you will need to provide the client certificate and private key. For instance (for an export request): - -``` -curl --silent --cacert ./tls/ca.crt --cert ./tls/client.dgraphuser.crt --key ./tls/client.dgraphuser.key https://localhost:8080/admin/export -``` - -Refer to the `curl` documentation for further information on its TLS options. - -### Access Data Using a Client - -Some examples of connecting via a [Client](/clients) when TLS is in use can be found below: - -- [dgraph4j](https://github.com/dgraph-io/dgraph4j#creating-a-secure-client-using-tls) -- [dgraph-js](https://github.com/dgraph-io/dgraph-js/tree/master/examples/tls) -- [dgo](https://github.com/dgraph-io/dgraph/blob/master/tlstest/acl/acl_over_tls_test.go) -- [pydgraph](https://github.com/dgraph-io/pydgraph/tree/master/examples/tls) - -### Troubleshooting Ratel's Client authentication - -If you are getting errors in Ratel when server's TLS is enabled try opening -your alpha URL as a webpage. - -Assuming you are running Dgraph on your local machine, opening -`https://localhost:8080/` in browser should produce a message `Dgraph browser is available for running separately using the dgraph-ratel binary`. - -In case you are getting a connection error, try not passing the -`--tls_client_auth` flag when starting an alpha. If you are still getting an -error, check that your hostname is correct and the port is open; then make sure -that "Dgraph Root CA" certificate is installed and trusted correctly. - -After that, if things work without `--tls_client_auth` but stop working when -`REQUIREANY` and `REQUIREANDVERIFY` is set make sure the `.p12` file is -installed correctly. - -## Cluster Checklist - -In setting up a cluster be sure the check the following. - -* Is at least one Dgraph Zero node running? -* Is each Dgraph Alpha instance in the cluster set up correctly? -* Will each Dgraph Alpha instance be accessible to all peers on 7080 (+ any port offset)? -* Does each instance have a unique ID on startup? -* Has `--bindall=true` been set for networked communication? - -See the [Production Checklist]({{< relref "#production-checklist" >}}) docs for more info. - -## Fast Data Loading - -There are two different tools that can be used for fast data loading: - -- `dgraph live` runs the Dgraph Live Loader -- `dgraph bulk` runs the Dgraph Bulk Loader - -{{% notice "note" %}} Both tools only accept [RDF N-Quad/Triple -data](https://www.w3.org/TR/n-quads/) or JSON in plain or gzipped format. Data -in other formats must be converted.{{% /notice %}} - -### Live Loader - -Dgraph Live Loader (run with `dgraph live`) is a small helper program which reads RDF N-Quads from a gzipped file, batches them up, creates mutations (using the go client) and shoots off to Dgraph. - -Dgraph Live Loader correctly handles assigning unique IDs to blank nodes across multiple files, and can optionally persist them to disk to save memory, in case the loader was re-run. - -{{% notice "note" %}} Dgraph Live Loader can optionally write the xid->uid mapping to a directory specified using the `--xidmap` flag, which can reused -given that live loader completed successfully in the previous run.{{% /notice %}} - -```sh -$ dgraph live --help # To see the available flags. - -# Read RDFs or JSON from the passed file, and send them to Dgraph on localhost:9080. -$ dgraph live -f - -# Read multiple RDFs or JSON from the passed path, and send them to Dgraph on localhost:9080. -$ dgraph live -f <./path-to-gzipped-RDF-or-JSON-files> - -# Read multiple files strictly by name. -$ dgraph live -f - -# Use compressed gRPC connections to and from Dgraph. -$ dgraph live -C -f - -# Read RDFs and a schema file and send to Dgraph running at given address. -$ dgraph live -f -s -a -z -``` - -#### Encrypted imports via Live Loader - -A new flag keyfile is added to the Live Loader. This option is required to decrypt the encrypted export data and schema files. Once the export files are decrypted, the Live Loader streams the data to a live Alpha instance. - -{{% notice "note" %}} -If the live Alpha instance has encryption turned on, the `p` directory will be encrypted. Otherwise, the `p` directory is unencrypted. -{{% /notice %}} - -#### Encrypted RDF/JSON file and schema via Live Loader -`dgraph live -f -s -keyfile ` - -#### Other Live Loader options - -`--new_uids` (default: false): Assign new UIDs instead of using the existing -UIDs in data files. This is useful to avoid overriding the data in a DB already -in operation. - -`-f, --files`: Location of *.rdf(.gz) or *.json(.gz) file(s) to load. It can -load multiple files in a given path. If the path is a directory, then all files -ending in .rdf, .rdf.gz, .json, and .json.gz will be loaded. - -`--format`: Specify file format (rdf or json) instead of getting it from -filenames. This is useful if you need to define a strict format manually. - -`-b, --batch` (default: 1000): Number of N-Quads to send as part of a mutation. - -`-c, --conc` (default: 10): Number of concurrent requests to make to Dgraph. -Do not confuse with `-C`. - -`-C, --use_compression` (default: false): Enable compression for connections to and from the -Alpha server. - -`-a, --alpha` (default: `localhost:9080`): Dgraph Alpha gRPC server address to connect for live loading. This can be a comma-separated list of Alphas addresses in the same cluster to distribute the load, e.g., `"alpha:grpc_port,alpha2:grpc_port,alpha3:grpc_port"`. - -`-x, --xidmap` (default: disabled. Need a path): Store xid to uid mapping to a directory. Dgraph will save all identifiers used in the load for later use in other data ingest operations. The mapping will be saved in the path you provide and you must indicate that same path in the next load. It is recommended to use this flag if you have full control over your identifiers (Blank-nodes). Because the identifier will be mapped to a specific UID. - -### Bulk Loader - -{{% notice "note" %}} -It's crucial to tune the bulk loader's flags to get good performance. See the -section below for details. -{{% /notice %}} - -Dgraph Bulk Loader serves a similar purpose to the Dgraph Live Loader, but can -only be used to load data into a new cluster. It cannot be run on an existing -Dgraph cluster. Dgraph Bulk Loader is **considerably faster** than the Dgraph -Live Loader and is the recommended way to perform the initial import of large -datasets into Dgraph. - -Only one or more Dgraph Zeros should be running for bulk loading. Dgraph Alphas -will be started later. - -{{% notice "warning" %}} -Don't use bulk loader once the Dgraph cluster is up and running. Use it to import -your existing data to a new cluster. -{{% /notice %}} - -You can [read some technical details](https://blog.dgraph.io/post/bulkloader/) -about the bulk loader on the blog. - -See [Fast Data Loading]({{< relref "#fast-data-loading" >}}) for more info about -the expected N-Quads format. - -**Reduce shards**: Before running the bulk load, you need to decide how many -Alpha groups will be running when the cluster starts. The number of Alpha groups -will be the same number of reduce shards you set with the `--reduce_shards` -flag. For example, if your cluster will run 3 Alpha with 3 replicas per group, -then there is 1 group and `--reduce_shards` should be set to 1. If your cluster -will run 6 Alphas with 3 replicas per group, then there are 2 groups and -`--reduce_shards` should be set to 2. - -**Map shards**: The `--map_shards` option must be set to at least what's set for -`--reduce_shards`. A higher number helps the bulk loader evenly distribute -predicates between the reduce shards. - -```sh -$ dgraph bulk -f goldendata.rdf.gz -s goldendata.schema --map_shards=4 --reduce_shards=2 --http localhost:8000 --zero=localhost:5080 -``` -``` -{ - "DataFiles": "goldendata.rdf.gz", - "DataFormat": "", - "SchemaFile": "goldendata.schema", - "DgraphsDir": "out", - "TmpDir": "tmp", - "NumGoroutines": 4, - "MapBufSize": 67108864, - "ExpandEdges": true, - "SkipMapPhase": false, - "CleanupTmp": true, - "NumShufflers": 1, - "Version": false, - "StoreXids": false, - "ZeroAddr": "localhost:5080", - "HttpAddr": "localhost:8000", - "IgnoreErrors": false, - "MapShards": 4, - "ReduceShards": 2 -} -The bulk loader needs to open many files at once. This number depends on the size of the data set loaded, the map file output size, and the level of indexing. 100,000 is adequate for most data set sizes. See `man ulimit` for details of how to change the limit. -Current max open files limit: 1024 -MAP 01s rdf_count:176.0 rdf_speed:174.4/sec edge_count:564.0 edge_speed:558.8/sec -MAP 02s rdf_count:399.0 rdf_speed:198.5/sec edge_count:1.291k edge_speed:642.4/sec -MAP 03s rdf_count:666.0 rdf_speed:221.3/sec edge_count:2.164k edge_speed:718.9/sec -MAP 04s rdf_count:952.0 rdf_speed:237.4/sec edge_count:3.014k edge_speed:751.5/sec -MAP 05s rdf_count:1.327k rdf_speed:264.8/sec edge_count:4.243k edge_speed:846.7/sec -MAP 06s rdf_count:1.774k rdf_speed:295.1/sec edge_count:5.720k edge_speed:951.5/sec -MAP 07s rdf_count:2.375k rdf_speed:338.7/sec edge_count:7.607k edge_speed:1.085k/sec -MAP 08s rdf_count:3.697k rdf_speed:461.4/sec edge_count:11.89k edge_speed:1.484k/sec -MAP 09s rdf_count:71.98k rdf_speed:7.987k/sec edge_count:225.4k edge_speed:25.01k/sec -MAP 10s rdf_count:354.8k rdf_speed:35.44k/sec edge_count:1.132M edge_speed:113.1k/sec -MAP 11s rdf_count:610.5k rdf_speed:55.39k/sec edge_count:1.985M edge_speed:180.1k/sec -MAP 12s rdf_count:883.9k rdf_speed:73.52k/sec edge_count:2.907M edge_speed:241.8k/sec -MAP 13s rdf_count:1.108M rdf_speed:85.10k/sec edge_count:3.653M edge_speed:280.5k/sec -MAP 14s rdf_count:1.121M rdf_speed:79.93k/sec edge_count:3.695M edge_speed:263.5k/sec -MAP 15s rdf_count:1.121M rdf_speed:74.61k/sec edge_count:3.695M edge_speed:246.0k/sec -REDUCE 16s [1.69%] edge_count:62.61k edge_speed:62.61k/sec plist_count:29.98k plist_speed:29.98k/sec -REDUCE 17s [18.43%] edge_count:681.2k edge_speed:651.7k/sec plist_count:328.1k plist_speed:313.9k/sec -REDUCE 18s [33.28%] edge_count:1.230M edge_speed:601.1k/sec plist_count:678.9k plist_speed:331.8k/sec -REDUCE 19s [45.70%] edge_count:1.689M edge_speed:554.4k/sec plist_count:905.9k plist_speed:297.4k/sec -REDUCE 20s [60.94%] edge_count:2.252M edge_speed:556.5k/sec plist_count:1.278M plist_speed:315.9k/sec -REDUCE 21s [93.21%] edge_count:3.444M edge_speed:681.5k/sec plist_count:1.555M plist_speed:307.7k/sec -REDUCE 22s [100.00%] edge_count:3.695M edge_speed:610.4k/sec plist_count:1.778M plist_speed:293.8k/sec -REDUCE 22s [100.00%] edge_count:3.695M edge_speed:584.4k/sec plist_count:1.778M plist_speed:281.3k/sec -Total: 22s -``` - -The output will be generated in the `out` directory by default. Here's the bulk -load output from the example above: - -```sh -$ tree ./out -``` -``` -./out -├── 0 -│   └── p -│   ├── 000000.vlog -│   ├── 000002.sst -│   └── MANIFEST -└── 1 - └── p - ├── 000000.vlog - ├── 000002.sst - └── MANIFEST - -4 directories, 6 files -``` - -Because `--reduce_shards` was set to 2, there are two sets of p directories: one -in `./out/0` directory and another in the `./out/1` directory. - -Once the output is created, they can be copied to all the servers that will run -Dgraph Alphas. Each Dgraph Alpha must have its own copy of the group's p -directory output. Each replica of the first group should have its own copy of -`./out/0/p`, each replica of the second group should have its own copy of -`./out/1/p`, and so on. - -```sh -$ dgraph bulk --help # To see the available flags. - -# Read RDFs or JSON from the passed file. -$ dgraph bulk -f ... - -# Read multiple RDFs or JSON from the passed path. -$ dgraph bulk -f <./path-to-gzipped-RDF-or-JSON-files> ... - -# Read multiple files strictly by name. -$ dgraph bulk -f ... - -``` - -#### Encryption at rest with Bulk Loader - -Even before the Dgraph cluster starts, we can load data using Bulk Loader with the encryption feature turned on. Later we can point the generated `p` directory to a new Alpha server. - -Here's an example to run Bulk Loader with a key used to write encrypted data: - -```bash -dgraph bulk --encryption_key_file ./enc_key_file -f data.json.gz -s data.schema --map_shards=1 --reduce_shards=1 --http localhost:8000 --zero=localhost:5080 -``` - -#### Encrypting imports via Bulk Loader - -The Bulk Loader’s `encryption_key_file` option was previously used to encrypt the output `p ` directory. This same option will also be used to decrypt the encrypted export data and schema files. - -Another option, `--encrypted`, indicates whether the input `rdf`/`json` data and schema files are encrypted or not. With this switch, we support the use case of migrating data from unencrypted exports to encrypted import. - -So, with the above two options we have 4 cases: - -1. `--encrypted=true` and no `encryption_key_file`. - -Error: If the input is encrypted, a key file must be provided. - -2. `--encrypted=true` and `encryption_key_file`=`path to key. - -Input is encrypted and output `p` dir is encrypted as well. - -3. `--encrypted=false` and no `encryption_key_file`. - -Input is not encrypted and the output `p` dir is also not encrypted. - -4. `--encrypted=false` and `encryption_key_file`=`path to key`. - -Input is not encrypted but the output is encrypted. (This is the migration use case mentioned above). - -#### Other Bulk Loader options - -`--new_uids` (default: false): Assign new UIDs instead of using the existing -UIDs in data files. This is useful to avoid overriding the data in a DB already -in operation. - -`-f, --files`: Location of *.rdf(.gz) or *.json(.gz) file(s) to load. It can -load multiple files in a given path. If the path is a directory, then all files -ending in .rdf, .rdf.gz, .json, and .json.gz will be loaded. - -`--format`: Specify file format (rdf or json) instead of getting it from -filenames. This is useful if you need to define a strict format manually. - -`--store_xids`: Generate a xid edge for each node. It will store the XIDs (The identifier / Blank-nodes) in an attribute named `xid` in the entity itself. It is useful if you gonna use [External IDs](/mutations#external-ids). - -`--xidmap` (default: disabled. Need a path): Store xid to uid mapping to a directory. Dgraph will save all identifiers used in the load for later use in other data ingest operations. The mapping will be saved in the path you provide and you must indicate that same path in the next load. It is recommended to use this flag if you have full control over your identifiers (Blank-nodes). Because the identifier will be mapped to a specific UID. - -#### Tuning & monitoring - -##### Performance Tuning - -{{% notice "tip" %}} -We highly recommend [disabling swap -space](https://askubuntu.com/questions/214805/how-do-i-disable-swap) when -running Bulk Loader. It is better to fix the parameters to decrease memory -usage, than to have swapping grind the loader down to a halt. -{{% /notice %}} - -Flags can be used to control the behaviour and performance characteristics of -the bulk loader. You can see the full list by running `dgraph bulk --help`. In -particular, **the flags should be tuned so that the bulk loader doesn't use more -memory than is available as RAM**. If it starts swapping, it will become -incredibly slow. - -**In the map phase**, tweaking the following flags can reduce memory usage: - -- The `--num_go_routines` flag controls the number of worker threads. Lowering reduces memory - consumption. - -- The `--mapoutput_mb` flag controls the size of the map output files. Lowering - reduces memory consumption. - -For bigger datasets and machines with many cores, gzip decoding can be a -bottleneck during the map phase. Performance improvements can be obtained by -first splitting the RDFs up into many `.rdf.gz` files (e.g. 256MB each). This -has a negligible impact on memory usage. - -**The reduce phase** is less memory heavy than the map phase, although can still -use a lot. Some flags may be increased to improve performance, *but only if -you have large amounts of RAM*: - -- The `--reduce_shards` flag controls the number of resultant Dgraph alpha instances. - Increasing this increases memory consumption, but in exchange allows for -higher CPU utilization. - -- The `--map_shards` flag controls the number of separate map output shards. - Increasing this increases memory consumption but balances the resultant -Dgraph alpha instances more evenly. - -- The `--shufflers` controls the level of parallelism in the shuffle/reduce - stage. Increasing this increases memory consumption. - -## Ludicrous Mode - -Ludicrous mode is available in Dgraph v20.03.1 or later. - -Ludicrous mode allows Dgraph to ingest data at an incredibly fast speed. It differs from the normal mode as it provides fewer guarantees. In normal mode, Dgraph provides strong consistency. In ludicrous mode, Dgraph provides eventual consistency. In ludicrous mode, any mutation which succeeds **might be available eventually**. **Eventually** means the changes will be applied later and might not be reflected in queries away. If Dgraph crashes unexpectedly, there **might** be unapplied mutations which **will not** be picked up when Dgraph restarts. Dgraph with ludicrous mode enabled behaves as an eventually consistent system. - - -**How do I enable it?** - -Ludicrous mode can be enabled by setting the `--ludicrous_mode` config option to all Zero and Alpha instances in the cluster. - - -**What does it do?** - -It doesn't wait for mutations to be applied. When a mutation comes, it proposes the mutation to the cluster and as soon as the proposal reaches the other nodes, it returns the response right away. You don't need to send a commit request for mutation. It's equivalent to having CommitNow set automatically for all mutations. All the mutations are then sent to background workers which keep applying them. - -Also, Dgraph does not sync writes to disk. This increases throughput but may result in loss of unsynced writes in the event of hardware failure. - - -**What is the trade off?** - -As mentioned in the section above, it provides amazing speed at the cost of some guarantees. - -It can be used when we have write-heavy operations and there is a time gap between queries and mutations, or you are fine with potentially reading stale data. - -There are no transactions in ludicrous mode. That is, you cannot open a transaction, apply a mutation, and then decide to cancel the transaction. Every mutation request is committed to Dgraph. - -**Can the cluster run with HA?** - -Yes, ludicrous mode works with the cluster set up in a highly-available (HA) configuration. - -**Can the cluster run with multiple data shards?** - -Yes, ludicrous mode works with the cluster set up with multiple data shards. - - - -## Monitoring -Dgraph exposes metrics via the `/debug/vars` endpoint in json format and the `/debug/prometheus_metrics` endpoint in Prometheus's text-based format. Dgraph doesn't store the metrics and only exposes the value of the metrics at that instant. You can either poll this endpoint to get the data in your monitoring systems or install **[Prometheus](https://prometheus.io/docs/introduction/install/)**. Replace targets in the below config file with the ip of your Dgraph instances and run prometheus using the command `prometheus -config.file my_config.yaml`. - -```sh -scrape_configs: - - job_name: "dgraph" - metrics_path: "/debug/prometheus_metrics" - scrape_interval: "2s" - static_configs: - - targets: - - 172.31.9.133:6080 # For Dgraph zero, 6080 is the http endpoint exposing metrics. - - 172.31.15.230:8080 # For Dgraph alpha, 8080 is the http endpoint exposing metrics. - - 172.31.0.170:8080 - - 172.31.8.118:8080 -``` - -{{% notice "note" %}} -Raw data exported by Prometheus is available via `/debug/prometheus_metrics` endpoint on Dgraph alphas. -{{% /notice %}} - -Install **[Grafana](http://docs.grafana.org/installation/)** to plot the metrics. Grafana runs at port 3000 in default settings. Create a prometheus datasource by following these **[steps](https://prometheus.io/docs/visualization/grafana/#creating-a-prometheus-data-source)**. Import **[grafana_dashboard.json](https://github.com/dgraph-io/benchmarks/blob/master/scripts/grafana_dashboard.json)** by following this **[link](http://docs.grafana.org/reference/export_import/#importing-a-dashboard)**. - - -### CloudWatch - -Route53's health checks can be leveraged to create standard CloudWatch alarms to notify on change in the status of the `/health` endpoints of Alpha and Zero. - -Considering that the endpoints to monitor are publicly accessible and you have the AWS credentials and [awscli](https://aws.amazon.com/cli/) setup, we’ll go through an example of setting up a simple CloudWatch alarm configured to alert via email for the Alpha endpoint `alpha.acme.org:8080/health`. Dgraph Zero's `/health` endpoint can also be monitored in a similar way. - - - -#### Create the Route53 Health Check -```sh -aws route53 create-health-check \ - --caller-reference $(date "+%Y%m%d%H%M%S") \ - --health-check-config file:///tmp/create-healthcheck.json \ - --query 'HealthCheck.Id' -``` -The file `/tmp/create-healthcheck.json` would need to have the values for the parameters required to create the health check as such: -```sh -{ - "Type": "HTTPS", - "ResourcePath": "/health", - "FullyQualifiedDomainName": "alpha.acme.org", - "Port": 8080, - "RequestInterval": 30, - "FailureThreshold": 3 -} -``` -The reference for the values one can specify while creating or updating a health check can be found on the AWS [documentation](https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/health-checks-creating-values.html). - -The response to the above command would be the ID of the created health check. -```sh -"29bdeaaa-f5b5-417e-a5ce-7dba1k5f131b" -``` -Make a note of the health check ID. This will be used to integrate CloudWatch alarms with the health check. - -{{% notice "note" %}} -Currently, Route53 metrics are only (available)[https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/monitoring-health-checks.html] in the **US East (N. Virginia)** region. The Cloudwatch Alarm (and the SNS Topic) should therefore be created in `us-east-1`. -{{% /notice %}} - -#### [Optional] Creating an SNS Topic -SNS topics are used to create message delivery channels. If you do not have any SNS topics configured, one can be created by running the following command: - -```sh -aws sns create-topic --region=us-east-1 --name ops --query 'TopicArn' -``` - -The response to the above command would be as follows: -```sh -"arn:aws:sns:us-east-1:123456789012:ops" -``` -Be sure to make a note of the topic ARN. This would be used to configure the CloudWatch alarm's action parameter. - -Run the following command to subscribe your email to the SNS topic: -```sh -aws sns subscribe \ - --topic-arn arn:aws:sns:us-east-1:123456789012:ops \ - --protocol email \ - --notification-endpoint ops@acme.org -``` -The subscription will need to be confirmed through *AWS Notification - Subscription Confirmation* sent through email. Once the subscription is confirmed, CloudWatch can be configured to use the SNS topic to trigger the alarm notification. - - - -#### Creating a CloudWatch Alarm -The following command creates a CloudWatch alarm with `--alarm-actions` set to the ARN of the SNS topic and the `--dimensions` of the alarm set to the health check ID. -```sh -aws cloudwatch put-metric-alarm \ - --region=us-east-1 \ - --alarm-name dgraph-alpha \ - --alarm-description "Alarm for when Alpha is down" \ - --metric-name HealthCheckStatus \ - --dimensions "Name=HealthCheckId,Value=29bdeaaa-f5b5-417e-a5ce-7dba1k5f131b" \ - --namespace AWS/Route53 \ - --statistic Minimum \ - --period 60 \ - --threshold 1 \ - --comparison-operator LessThanThreshold \ - --evaluation-periods 1 \ - --treat-missing-data breaching \ - --alarm-actions arn:aws:sns:us-east-1:123456789012:ops -``` - -One can verify the alarm status from the CloudWatch or Route53 consoles. - -##### Internal Endpoints -If the Alpha endpoint is internal to the VPC network - one would need to create a Lambda function that would periodically (triggered using CloudWatch Event Rules) request the `/health` path and create CloudWatch metrics which could then be used to create the required CloudWatch alarms. -The architecture and the CloudFormation template to achieve the same can be found [here](https://aws.amazon.com/blogs/networking-and-content-delivery/performing-route-53-health-checks-on-private-resources-in-a-vpc-with-aws-lambda-and-amazon-cloudwatch/). - - - -## Metrics - -Dgraph metrics follow the [metric and label conventions for -Prometheus](https://prometheus.io/docs/practices/naming/). - -### Disk Metrics - -The disk metrics let you track the disk activity of the Dgraph process. Dgraph does not interact -directly with the filesystem. Instead it relies on [Badger](https://github.com/dgraph-io/badger) to -read from and write to disk. - - Metrics | Description - ------- | ----------- - `badger_v2_disk_reads_total` | Total count of disk reads in Badger. - `badger_v2_disk_writes_total` | Total count of disk writes in Badger. - `badger_v2_gets_total` | Total count of calls to Badger's `get`. - `badger_v2_memtable_gets_total` | Total count of memtable accesses to Badger's `get`. - `badger_v2_puts_total` | Total count of calls to Badger's `put`. - `badger_v2_read_bytes` | Total bytes read from Badger. - `badger_v2_written_bytes` | Total bytes written to Badger. - -### Memory Metrics - -The memory metrics let you track the memory usage of the Dgraph process. The idle and inuse metrics -gives you a better sense of the active memory usage of the Dgraph process. The process memory metric -shows the memory usage as measured by the operating system. - -By looking at all three metrics you can see how much memory a Dgraph process is holding from the -operating system and how much is actively in use. - - Metrics | Description - ------- | ----------- - `dgraph_memory_idle_bytes` | Estimated amount of memory that is being held idle that could be reclaimed by the OS. - `dgraph_memory_inuse_bytes` | Total memory usage in bytes (sum of heap usage and stack usage). - `dgraph_memory_proc_bytes` | Total memory usage in bytes of the Dgraph process. On Linux/macOS, this metric is equivalent to resident set size. On Windows, this metric is equivalent to [Go's runtime.ReadMemStats](https://golang.org/pkg/runtime/#ReadMemStats). - -### Activity Metrics - -The activity metrics let you track the mutations, queries, and proposals of an Dgraph instance. - - Metrics | Description - ------- | ----------- - `go_goroutines` | Total number of Goroutines currently running in Dgraph. - `dgraph_active_mutations_total` | Total number of mutations currently running. - `dgraph_pending_proposals_total` | Total pending Raft proposals. - `dgraph_pending_queries_total` | Total number of queries in progress. - `dgraph_num_queries_total{method="Server.Mutate"}` | Total number of mutations run in Dgraph. - `dgraph_num_queries_total{method="Server.Query"}` | Total number of queries run in Dgraph. - -### Health Metrics - -The health metrics let you track to check the availability of an Dgraph Alpha instance. - - Metrics | Description - ------- | ----------- - `dgraph_alpha_health_status` | **Only applicable to Dgraph Alpha**. Value is 1 when the Alpha is ready to accept requests; otherwise 0. - -### Go Metrics - -Go's built-in metrics may also be useful to measure for memory usage and garbage collection time. - - Metrics | Description - ------- | ----------- - `go_memstats_gc_cpu_fraction` | The fraction of this program's available CPU time used by the GC since the program started. - `go_memstats_heap_idle_bytes` | Number of heap bytes waiting to be used. - `go_memstats_heap_inuse_bytes` | Number of heap bytes that are in use. - -## Tracing - -Dgraph is integrated with [OpenCensus](https://opencensus.io/zpages/) to collect distributed traces from the Dgraph cluster. - -Trace data is always collected within Dgraph. You can adjust the trace sampling rate for Dgraph queries with the `--trace` option for Dgraph Alphas. By default, `--trace` is set to 0.01 to trace 1% of queries. - -### Examining Traces with zPages - -The most basic way to view traces is with the integrated trace pages. - -OpenCensus's [zPages](https://opencensus.io/zpages/) are accessible via the Zero or Alpha HTTP port at `/z/tracez`. - -### Examining Traces with Jaeger - -Jaeger collects distributed traces and provides a UI to view and query traces across different services. This provides the necessary observability to figure out what is happening in the system. - -Dgraph can be configured to send traces directly to a Jaeger collector with the `--jaeger.collector` flag. For example, if the Jaeger collector is running on `http://localhost:14268`, then pass the flag to the Dgraph Zero and Dgraph Alpha instances as `--jaeger.collector=http://localhost:14268`. - -See [Jaeger's Getting Started docs](https://www.jaegertracing.io/docs/getting-started/) to get up and running with Jaeger. - -#### Setting up multiple Dgraph clusters with Jaeger - -Jaeger allows you to examine traces from multiple Dgraph clusters. To do this, use the `--collector.tags` on a Jaeger collector to set custom trace tags. For example, run one collector with `--collector.tags env=qa` and then another collector with `--collector.tags env=dev`. In Dgraph, set the `--jaeger.collector` flag in the Dgraph QA cluster to the first collector and the flag in the Dgraph Dev cluster to the second collector. -You can run multiple Jaeger collector components for the same single Jaeger backend (e.g., many Jaeger collectors to a single Cassandra backend). This is still a single Jaeger installation but with different collectors customizing the tags per environment. - -Once you have this configured, you can filter by tags in the Jaeger UI. Filter traces by tags matching `env=dev`: - -{{% load-img "/images/jaeger-ui.png" "Jaeger UI" %}} - -Every trace has your custom tags set under the “Process” section of each span: - -{{% load-img "/images/jaeger-server-query.png" "Jaeger Query" %}} - -Filter traces by tags matching `env=qa`: - -{{% load-img "/images/jaeger-json.png" "Jaeger JSON" %}} - -{{% load-img "/images/jaeger-server-query-2.png" "Jaeger Query Result" %}} - -For more information, check out [Jaeger's Deployment Guide](https://www.jaegertracing.io/docs/deployment/). - -## Data compression on disk - -Alpha exposes the option `--badger.compression_level` to configure the compression -level for data on disk using Zstd compression. The option can be set as - -```sh -dgraph alpha --badger.compression_level=xxx -``` - -A higher compression level is more CPU intensive but offers a better compression -ratio. The default level is 3. - -This option is available in v20.03.1 and later. - -## Dgraph Administration - -Each Dgraph Alpha exposes various administrative endpoints both over HTTP and GraphQL, for - example endpoints to export data and to perform a clean shutdown. All such admin endpoints are - protected by three layers of auth: - -1. IP White-listing (use `--whitelist` flag in alpha to whitelist IPs other than localhost). -2. Poor-man's auth, if alpha is started with the `--auth_token` flag (means you will need to pass the `auth_token` as `X-Dgraph-AuthToken` header while making the HTTP request). -3. Guardian only access, if ACL is enabled (means you need to pass the ACL-JWT of a Guardian user as `X-Dgraph-AccessToken` header while making the HTTP request). - -Admin endpoint means any http endpoint which provides admin functionalities. Normally, the path starts with `/admin` for such endpoints, except a few. So, currently this list includes: - -* /admin -* /admin/backup -* /admin/config/lru_mb -* /admin/draining -* /admin/export -* /admin/shutdown -* /admin/schema -* /alter -* /login - -There are a few exceptions to the general rule described above: - -1. `/login`: This endpoint logs-in an ACL user, and provides them with a JWT. Only IP Whitelisting and Poor-man's auth checks are performed for this. -2. `/admin`: This endpoint provides GraphQL queries/mutations corresponding to the HTTP admin endpoints. All the queries/mutations on `/admin` have all the 3 auth checks, except for the following one: - * `login (mutation)`: The same behavior as the above HTTP `login` endpoint. - -### Whitelisting Admin Operations - -By default, admin operations can only be initiated from the machine on which the Dgraph Alpha runs. -You can use the `--whitelist` option to specify whitelisted IP addresses and ranges for hosts from which admin operations can be initiated. - -```sh -dgraph alpha --whitelist 172.17.0.0:172.20.0.0,192.168.1.1 --lru_mb ... -``` -This would allow admin operations from hosts with IP between `172.17.0.0` and `172.20.0.0` along with -the server which has IP address as `192.168.1.1`. - -### Restricting Mutation Operations - -By default, you can perform mutation operations for any predicate. -If the predicate in mutation doesn't exist in the schema, -the predicate gets added to the schema with an appropriate -[Dgraph Type]({{< relref "query-language/index.md#schema-types" >}}). - -You can use `--mutations disallow` to disable all mutations, -which is set to `allow` by default. - -```sh -dgraph alpha --mutations disallow -``` - -Enforce a strict schema by setting `--mutations strict`. -This mode allows mutations only on predicates already in the schema. -Before performing a mutation on a predicate that doesn't exist in the schema, -you need to perform an alter operation with that predicate and its schema type. - -```sh -dgraph alpha --mutations strict -``` - -### Securing Alter Operations - -Clients can use alter operations to apply schema updates and drop particular or all predicates from the database. -By default, all clients are allowed to perform alter operations. -You can configure Dgraph to only allow alter operations when the client provides a specific token. -This can be used to prevent clients from making unintended or accidental schema updates or predicate drops. - -You can specify the auth token with the `--auth_token` option for each Dgraph Alpha in the cluster. -Clients must include the same auth token to make alter requests. - -```sh -$ dgraph alpha --lru_mb=2048 --auth_token= -``` - -```sh -$ curl -s localhost:8080/alter -d '{ "drop_all": true }' -# Permission denied. No token provided. -``` - -```sh -$ curl -s -H 'X-Dgraph-AuthToken: ' localhost:8180/alter -d '{ "drop_all": true }' -# Permission denied. Incorrect token. -``` - -```sh -$ curl -H 'X-Dgraph-AuthToken: ' localhost:8180/alter -d '{ "drop_all": true }' -# Success. Token matches. -``` - -{{% notice "note" %}} -To fully secure alter operations in the cluster, the auth token must be set for every Alpha. -{{% /notice %}} - - -### Exporting Database - -An export of all nodes is started by locally executing the following GraphQL mutation on /admin endpoint using any compatible client like Insomnia, GraphQL Playground or GraphiQL. - -```graphql -mutation { - export(input: {format: "rdf"}) { - response { - message - code - } - } -} -``` -{{% notice "warning" %}}By default, this won't work if called from outside the server where the Dgraph Alpha is running. -You can specify a list or range of whitelisted IP addresses from which export or other admin operations -can be initiated using the `--whitelist` flag on `dgraph alpha`. -{{% /notice %}} - -This triggers an export for all Alpha groups of the cluster. The data is exported from the following Dgraph instances: - -1. For the Alpha instance that receives the GET request, the group's export data is stored with this Alpha. -2. For every other group, its group's export data is stored with the Alpha leader of that group. - -It is up to the user to retrieve the right export files from the Alphas in the -cluster. Dgraph does not copy all files to the Alpha that initiated the export. -The user must also ensure that there is sufficient space on disk to store the -export. - -Each Alpha leader for a group writes output as a gzipped file to the export -directory specified via the `--export` flag (defaults to a directory called `"export"`). If any of the groups fail, the -entire export process is considered failed and an error is returned. - -The data is exported in RDF format by default. A different output format may be specified with the -`format` field. For example: - -```graphql -mutation { - export(input: {format: "json"}) { - response { - message - code - } - } -} -``` - -Currently, "rdf" and "json" are the only formats supported. - -#### Encrypting Exports - -Export is available wherever an Alpha is running. To encrypt an export, the Alpha must be configured with the `encryption-key-file`. - -{{% notice "note" %}} -The `encryption-key-file` was used for `encryption-at-rest` and will now also be used for encrypted backups and exports. -{{% /notice %}} - -### Shutting Down Database - -A clean exit of a single Dgraph node is initiated by running the following GraphQL mutation on /admin endpoint. -{{% notice "warning" %}}This won't work if called from outside the server where Dgraph is running. -You can specify a list or range of whitelisted IP addresses from which shutdown or other admin operations -can be initiated using the `--whitelist` flag on `dgraph alpha`. -{{% /notice %}} - -```graphql -mutation { - shutdown { - response { - message - code - } - } -} -``` - -This stops the Alpha on which the command is executed and not the entire cluster. - -### Deleting database - -Individual triples, patterns of triples and predicates can be deleted as described in the [query languge docs](/query-language#delete). - -To drop all data, you could send a `DropAll` request via `/alter` endpoint. - -Alternatively, you could: - -* [Shutdown Dgraph]({{< relref "#shutting-down-database" >}}) and wait for all writes to complete, -* Delete (maybe do an export first) the `p` and `w` directories, then -* Restart Dgraph. - -### Upgrading Database - -Doing periodic exports is always a good idea. This is particularly useful if you wish to upgrade Dgraph or reconfigure the sharding of a cluster. The following are the right steps to safely export and restart. - -1. Start an [export]({{< relref "#exporting-database">}}) -2. Ensure it is successful -3. [Shutdown Dgraph]({{< relref "#shutting-down-database" >}}) and wait for all writes to complete -4. Start a new Dgraph cluster using new data directories (this can be done by passing empty directories to the options `-p` and `-w` for Alphas and `-w` for Zeros) -5. Reload the data via [bulk loader]({{< relref "#bulk-loader" >}}) -6. Verify the correctness of the new Dgraph cluster. If all looks good, you can delete the old directories (export serves as an insurance) - -These steps are necessary because Dgraph's underlying data format could have changed, and reloading the export avoids encoding incompatibilities. - -Blue-green deployment is a common approach to minimize downtime during the upgrade process. -This approach involves switching your application to read-only mode. To make sure that no mutations are executed during the maintenance window you can -do a rolling restart of all your Alpha using the option `--mutations disallow` when you restart the Alphas. This will ensure the cluster is in read-only mode. - -At this point your application can still read from the old cluster and you can perform the steps 4. and 5. described above. -When the new cluster (that uses the upgraded version of Dgraph) is up and running, you can point your application to it, and shutdown the old cluster. - -#### Upgrading from v1.2.2 to v20.03.0 for Enterprise Customers - -1. Use [binary]({{< relref "enterprise-features/index.md#binary-backups">}}) backup to export data from old cluster -2. Ensure it is successful -3. [Shutdown Dgraph]({{< relref "#shutting-down-database" >}}) and wait for all writes to complete -4. Upgrade `dgraph` binary to `v20.03.0` -5. [Restore]({{< relref "enterprise-features/index.md#restore-from-backup">}}) from the backups using upgraded `dgraph` binary -6. Start a new Dgraph cluster using the restored data directories -7. Upgrade ACL data using the following command: - -``` -dgraph upgrade --acl -a localhost:9080 -u groot -p password -``` - -{{% notice "note" %}} -If you are upgrading from v1.0, please make sure you follow the schema migration steps described in [this section](/howto/#schema-types-scalar-uid-and-list-uid). -{{% /notice %}} - -### Post Installation - -Now that Dgraph is up and running, to understand how to add and query data to Dgraph, follow [Query Language Spec](/query-language). Also, have a look at [Frequently asked questions](/faq). - -## Troubleshooting - -Here are some problems that you may encounter and some solutions to try. - -#### Running OOM (out of memory) - -During bulk loading of data, Dgraph can consume more memory than usual, due to high volume of writes. That's generally when you see the OOM crashes. - -The recommended minimum RAM to run on desktops and laptops is 16GB. Dgraph can take up to 7-8 GB with the default setting `--lru_mb` set to 4096; so having the rest 8GB for desktop applications should keep your machine humming along. - -On EC2/GCE instances, the recommended minimum is 8GB. It's recommended to set `--lru_mb` to one-third of RAM size. - -You could also decrease memory usage of Dgraph by setting `--badger.vlog=disk`. - -#### Too many open files - -If you see an log error messages saying `too many open files`, you should increase the per-process file descriptors limit. - -During normal operations, Dgraph must be able to open many files. Your operating system may set by default a open file descriptor limit lower than what's needed for a database such as Dgraph. - -On Linux and Mac, you can check the file descriptor limit with `ulimit -n -H` for the hard limit and `ulimit -n -S` for the soft limit. The soft limit should be set high enough for Dgraph to run properly. A soft limit of 65535 is a good lower bound for a production setup. You can adjust the limit as needed. - -## Production Checklist - -This guide describes important setup recommendations for a production-ready Dgraph cluster. - -{{% notice "note" %}} -In this guide, a node refers to a Dgraph instance unless specified otherwise. -{{% /notice %}} - -A **Dgraph cluster** is comprised of multiple **Dgraph instances** (aka **nodes**) connected together to form a single distributed database. A Dgraph instance is either a **Dgraph Zero** or **Dgraph Alpha**, each of which serves a different role in the cluster. - -There can be one or more **Dgraph clients** connected to Dgraph to perform database operations (queries, mutations, alter schema, etc.). These clients connect via gRPC or HTTP. Dgraph provides official clients for Go, Java, Python, and JavaScript, and C#. All of these are gRPC-based, and JavaScript supports both gRPC and HTTP for browser support. Community-developed Dgraph clients for other languages are also available. The full list of clients can be found in [Clients]({{< relref "clients/index.md" >}}) page. You can also interact with Dgraph via curl over HTTP. Dgraph Ratel is a UI client used to visualize queries, run mutations, and manage the schema. Clients do not participate as a member of the database cluster, they simply connect to one or more Dgraph Alpha instances. - -#### Cluster Requirements - -A minimum of one Dgraph Zero and one Dgraph Alpha is needed for a working cluster. - -There can be multiple Dgraph Zeros and Dgraph Alphas running in a single cluster. - - -#### Machine Requirements - -To ensure predictable performance characteristics, Dgraph instances should NOT run on "burstable" or throttled machines that limit resources. That includes t2 class machines on AWS. - -We recommend each Dgraph instance to be deployed to a single dedicated machine to ensure that Dgraph can take full advantage of machine resources. That is, for a 6-node Dgraph cluster with 3 Dgraph Zeros and 3 Dgraph Alphas, each process runs in its own machine (e.g., EC2 instance). In the event of a machine failure, only one instance is affected, instead of multiple if they were running on that same machine. - -If you'd like to run Dgraph with fewer machines, then the recommended configuration is to run a single Dgraph Zero and a single Dgraph Alpha per machine. In a high availability setup, that allows the cluster to lose a single machine (simultaneously losing a Dgraph Zero and a Dgraph Alpha) with continued availability of the database. - -Do not run multiple Dgraph Zeros or Dgraph Alpha processes on a single machine. This can affect performance due to shared resources and reduce high availability in the event of machine failures. - -#### Operating System - -The recommended operating system is Linux for production workloads. Dgraph provides release binaries in Linux, macOS, and Windows. For test environments, you can choose to run Dgraph on any operating system. This deployment guide assumes you are setting up Dgraph on Linux systems (see [Operating System Tuning]({{< relref - "#operating-system-tuning" >}})). - -#### CPU and Memory - -At the bare minimum, we recommend machines with at least 2 CPUs and 2 GiB of memory for testing. - -You'll want a sufficient CPU and memory according to your production workload. A common setup for Dgraph is 16 CPUs and 32 GiB of memory per machine. Dgraph is designed with concurrency in mind, so more cores means quicker processing and higher throughput of requests. - -You may find you'll need more CPU cores and memory for your specific use case. - -#### Disk - -Dgraph instances make heavy usage of disks, so storage with high IOPS is highly recommended to ensure reliable performance. Specifically, we recommend SSDs, not HDDs. - -Instances such as c5d.4xlarge have locally-attached NVMe SSDs with high IOPS. You can also use EBS volumes with provisioned IOPS (io1). If you are not running performance-critical workloads, you can also choose to use cheaper gp2 EBS volumes. - -Recommended disk sizes for Dgraph Zero and Dgraph Alpha: - -* Dgraph Zero: 200 GB to 300 GB. Dgraph Zero stores cluster metadata information and maintains a write-ahead log for cluster operations. -* Dgraph Alpha: 250 GB to 750 GB. Dgraph Alpha stores database data, including the schema, indices, and the data values. It maintains a write-ahead log of changes to the database. Your cloud provider may provide better disk performance based on the volume size. - -Additional recommendations: - -* The recommended Linux filesystem is ext4. -* Avoid using shared storage such as NFS, CIFS, and CEPH storage. - -#### Firewall Rules - -Dgraph instances communicate over several ports. Firewall rules should be configured appropriately for the ports documented in [Ports Usage]({{< relref "deploy/index.md#ports-usage" >}}). - -Internal ports must be accessible by all Zero and Alpha peers for proper cluster-internal communication. Database clients must be able to connect to Dgraph Alpha external ports either directly or through a load balancer. - -Dgraph Zeros can be set up in a private network where communication is only with Dgraph Alphas, database administrators, internal services (such as Prometheus or Jaeger), and possibly developers (see note below). Dgraph Zero's 6080 external port is only necessary for database administrators. For example, it can be used to inspect the cluster metadata (/state), allocate UIDs or set txn timestamps (/assign), move data shards (/moveTablet), or remove cluster nodes (/removeNode). The full docs about Zero's administrative tasks are in [More About Dgraph Zero]({{< relref "deploy/index.md#more-about-dgraph-zero" >}}). - -{{% notice "note" %}} -Developers using Dgraph Live Loader or Dgraph Bulk Loader require access to both Dgraph Zero port 5080 and Dgraph Alpha port 9080. When using those tools, consider using them within your environment that has network access to both ports of the cluster. -{{% /notice %}} - -#### Operating System Tuning - -The OS should be configured with the recommended settings to ensure that Dgraph runs properly. - -**File Descriptors Limit** - -Dgraph can use a large number of open file descriptors. Most operating systems set a default limit that is lower than what is required. - -It is recommended to set the file descriptors limit to unlimited. If that is not possible, set it to at least a million (1,048,576) which is recommended to account for cluster growth over time. - -#### Deployment - -A Dgraph instance is run as a single process from a single static binary. It does not require any additional dependencies or separate services in order to run (see the [Supplementary Services]({{< relref "#supplementary-services" >}}) section for third-party services that work alongside Dgraph). A Dgraph cluster is set up by running multiple Dgraph processes networked together. - -#### Terminology - -An **N-node cluster** is a Dgraph cluster that contains N number of Dgraph instances. For example, a 6-node cluster means six Dgraph instances. The **replication setting** specifies the number of Dgraph Alpha replicas are assigned per group. The replication setting is a configuration flag (`--replicas`) on Dgraph Zero. A **Dgraph Alpha group** is a set of Dgraph Alphas that store replications of the data amongst each other. Every Dgraph Alpha group is assigned a set of distinct predicates to store and serve. - -Examples of different cluster settings: -* No sharding - * 2-node cluster: 1 Zero, 1 Alpha (one group). - * HA equivalent: x3 = 6-node cluster. -* With 2-way sharding: - * 3-node cluster: 1 Zero, 2 Alphas (two groups). - * HA equivalent: x3 = 9-node cluster. - -In the following examples we outline the two most common cluster configurations: a 2-node cluster and a 6-node cluster. - -#### Basic setup: 2-node cluster -We provide sample configs for both [Docker Compose](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/docker/docker-compose.yml) and [Kubernetes](https://github.com/dgraph-io/dgraph/tree/master/contrib/config/kubernetes/dgraph-single) for a 2-node cluster. You can also run Dgraph directly on your host machines. - -{{% load-img "/images/deploy-guide-1.png" "2-node cluster" %}} - -Configuration can be set either as command-line flags, environment variables, or in a config file (see [Config]({{< relref "deploy/index.md#config" >}})). - -Dgraph Zero: -* The `--my` flag should be set to the address:port (the internal-gRPC port) that will be accessible to the Dgraph Alpha (default: `localhost:5080`). -* The `--idx` flag should be set to a unique Raft ID within the Dgraph Zero group (default: `1`). -* The `--wal` flag should be set to the directory path to store write-ahead-log entries on disk (default: `zw`). -* The `--bindall` flag should be set to true for machine-to-machine communication (default: `true`). -* Recommended: For better issue diagnostics, set the log level verbosity to 2 with the option `--v=2`. - -Dgraph Alpha: -* The `--my` flag should be set to the address:port (the internal-gRPC port) that will be accessible to the Dgraph Zero (default: `localhost:7080`). -* The `--zero` flag should be set to the corresponding Zero address set for Dgraph Zero's `--my` flag. -* The `--postings` flag should be set to the directory path for data storage (default: `p`). -* The `--wal` flag should be set to the directory path for write-ahead-log entries (default: `w`) -* The `--bindall` flag should be set to true for machine-to-machine communication (default: `true`). -* Recommended: For better issue diagnostics, set the log level verbosity to 2 `--v=2`. - -#### HA setup: 6-node cluster - -We provide sample configs for both [Docker Compose](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/docker/docker-compose-ha.yml) and [Kubernetes](https://github.com/dgraph-io/dgraph/tree/master/contrib/config/kubernetes/dgraph-ha) for a 6-node cluster with 3 Alpha replicas per group. You can also run Dgraph directly on your host machines. - -A Dgraph cluster can be configured in a high-availability setup with Dgraph Zero and Dgraph Alpha each set up with peers. These peers are part of Raft consensus groups, which elect a single leader amongst themselves. The non-leader peers are called followers. In the event that the peers cannot communicate with the leader (e.g., a network partition or a machine shuts down), the group automatically elects a new leader to continue. - -Configuration can be set either as command-line flags, environment variables, or in a config file (see [Config]({{< relref "deploy/index.md#config" >}})). - -In this setup, we assume the following hostnames are set: - -- `zero1` -- `zero2` -- `zero3` -- `alpha1` -- `alpha2` -- `alpha3` - -We will configure the cluster with 3 Alpha replicas per group. The cluster group-membership topology will look like the following: - -{{% load-img "/images/deploy-guide-2.png" "Dgraph cluster image" %}} - -##### Set up Dgraph Zero group - -In the Dgraph Zero group you must set unique Raft IDs (`--idx`) per Dgraph Zero. Dgraph will not auto-assign Raft IDs to Dgraph Zero instances. - -The first Dgraph Zero that starts will initiate the database cluster. Any following Dgraph Zero instances must connect to the cluster via the `--peer` flag to join. If the `--peer` flag is omitted from the peers, then the Dgraph Zero will create its own independent Dgraph cluster. - -**First Dgraph Zero** example: `dgraph zero --replicas=3 --idx=1 --my=zero1:5080` - -The `--my` flag must be set to the address:port of this instance that peers will connect to. The `--idx` flag sets its Raft ID to `1`. - -**Second Dgraph Zero** example: `dgraph zero --replicas=3 --idx=2 --my=zero2:5080 --peer=zero1:5080` - -The `--my` flag must be set to the address:port of this instance that peers will connect to. The `--idx` flag sets its Raft ID to 2, and the `--peer` flag specifies a request to connect to the Dgraph cluster of zero1 instead of initializing a new one. - -**Third Dgraph Zero** example: `dgraph zero --replicas=3 --idx=3 --my=zero3:5080 --peer=zero1:5080`: - -The `--my` flag must be set to the address:port of this instance that peers will connect to. The `--idx` flag sets its Raft ID to 3, and the `--peer` flag specifies a request to connect to the Dgraph cluster of zero1 instead of initializing a new one. - -Dgraph Zero configuration options: - -* The `--my` flag should be set to the address:port (the internal-gRPC port) that will be accessible to Dgraph Alpha (default: `localhost:5080`). -* The `--idx` flag should be set to a unique Raft ID within the Dgraph Zero group (default: `1`). -* The `--wal` flag should be set to the directory path to store write-ahead-log entries on disk (default: `zw`). -* The `--bindall` flag should be set to true for machine-to-machine communication (default: `true`). -* Recommended: For more informative log info, set the log level verbosity to 2 with the option `--v=2`. - -##### Set up Dgraph Alpha group - -The number of replica members per Alpha group depends on the setting of Dgraph Zero's `--replicas` flag. Above, it is set to 3. So when Dgraph Alphas join the cluster, Dgraph Zero will assign it to an Alpha group to fill in its members up to the limit per group set by the `--replicas` flag. - -First Alpha example: `dgraph alpha --my=alpha1:7080 --zero=zero1:7080` - -Second Alpha example: `dgraph alpha --my=alpha2:7080 --zero=zero1:7080` - -First Alpha example: `dgraph alpha --my=alpha3:7080 --zero=zero1:7080` - -Dgraph Alpha configuration options: - -* The `--my` flag should be set to the address:port (the internal-gRPC port) that will be accessible to the Dgraph Zero (default: `localhost:7080`). -* The `--zero` flag should be set to the corresponding Zero address set for Dgraph Zero's `--my`flag. -* The `--postings` flag should be set to the directory path for data storage (default: `p`). -* The `--wal` flag should be set to the directory path for write-ahead-log entries (default: `w`) -* The `--bindall` flag should be set to true for machine-to-machine communication (default: `true`). -* Recommended: For more informative log info, set the log level verbosity to 2 `--v=2`. - -#### Supplementary Services - -These services are not required for a Dgraph cluster to function but are recommended for better insight when operating a Dgraph cluster. - -- [Metrics and monitoring][] with Prometheus and Grafana. -- [Distributed tracing][] with Jaeger. - -[Metrics and monitoring]: {{< relref "deploy/index.md#monitoring" >}} -[Distributed tracing]: {{< relref "deploy/index.md#tracing" >}} - -## See Also - -* [Product Roadmap 2020](https://github.com/dgraph-io/dgraph/issues/4724) diff --git a/wiki/content/deploy/kubernetes.md b/wiki/content/deploy/kubernetes.md new file mode 100644 index 00000000000..5005244b594 --- /dev/null +++ b/wiki/content/deploy/kubernetes.md @@ -0,0 +1,566 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Using Kubernetes" +[menu.main] + parent = "deploy" + weight = 6 ++++ + +The following section covers running Dgraph with Kubernetes. We have tested Dgraph with Kubernetes 1.14 to 1.15 on [GKE](https://cloud.google.com/kubernetes-engine) and [EKS](https://aws.amazon.com/eks/). + +{{% notice "note" %}}These instructions are for running Dgraph Alpha without TLS configuration. +Instructions for running with TLS refer [TLS instructions](#tls-configuration).{{% /notice %}} + +* Install [kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl/) which is used to deploy + and manage applications on kubernetes. +* Get the Kubernetes cluster up and running on a cloud provider of your choice. + * For Amazon [EKS](https://aws.amazon.com/eks/), you can use [eksctl](https://eksctl.io/) to quickly provision a new cluster. If you are new to this, Amazon has an article [Getting started with eksctl](https://docs.aws.amazon.com/eks/latest/userguide/getting-started-eksctl.html). + * For Google Cloud [GKE](https://cloud.google.com/kubernetes-engine), you can use [Google Cloud SDK](https://cloud.google.com/sdk/install) and the `gcloud container clusters create` command to quickly provision a new cluster. + +On Amazon [EKS](https://aws.amazon.com/eks/), you would see something like this: + +Verify that you have your cluster up and running using `kubectl get nodes`. If you used `kops` with +the default options, you should have a master and two worker nodes ready. + +```sh +➜ kubernetes git:(master) ✗ kubectl get nodes +NAME STATUS ROLES AGE VERSION +..compute.internal Ready 1m v1.15.11-eks-af3caf +..compute.internal Ready 1m v1.15.11-eks-af3caf +``` + +On Google Cloud [GKE](https://cloud.google.com/kubernetes-engine), you would see something like this: + +```sh +➜ kubernetes git:(master) ✗ kubectl get nodes +NAME STATUS ROLES AGE VERSION +gke--default-pool- Ready 41s v1.14.10-gke.36 +gke--default-pool- Ready 40s v1.14.10-gke.36 +gke--default-pool- Ready 41s v1.14.10-gke.36 +``` + +## Single Server + +Once your Kubernetes cluster is up, you can use [dgraph-single.yaml](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/kubernetes/dgraph-single/dgraph-single.yaml) to start a Zero, Alpha, and Ratel UI services. + +### Deploy Single Server + +From your machine, run the following command to start a StatefulSet that creates a single Pod with Zero, Alpha, and Ratel UI running in it. + +```sh +kubectl create --filename https://raw.githubusercontent.com/dgraph-io/dgraph/master/contrib/config/kubernetes/dgraph-single/dgraph-single.yaml +``` + +Output: +``` +service/dgraph-public created +statefulset.apps/dgraph created +``` + +### Verify Single Server + +Confirm that the pod was created successfully. + +```sh +kubectl get pods +``` + +Output: +``` +NAME READY STATUS RESTARTS AGE +dgraph-0 3/3 Running 0 1m +``` + +{{% notice "tip" %}} +You can check the logs for the containers in the pod using +`kubectl logs --follow dgraph-0 `. For example, try +`kubectl logs --follow dgraph-0 alpha` for server logs. +{{% /notice %}} + +### Test Single Server Setup + +Port forward from your local machine to the pod + +```sh +kubectl port-forward pod/dgraph-0 8080:8080 +kubectl port-forward pod/dgraph-0 8000:8000 +``` + +Go to `http://localhost:8000` and verify Dgraph is working as expected. + +### Remove Single Server Resources + +Delete all the resources + +```sh +kubectl delete --filename https://raw.githubusercontent.com/dgraph-io/dgraph/master/contrib/config/kubernetes/dgraph-single/dgraph-single.yaml +kubectl delete persistentvolumeclaims --selector app=dgraph +``` + +## HA Cluster Setup Using Kubernetes + +This setup allows you to run 3 Dgraph Alphas and 3 Dgraph Zeros. We start Zero with `--replicas +3` flag, so all data would be replicated on 3 Alphas and form 1 alpha group. + +{{% notice "note" %}} Ideally you should have at least three worker nodes as part of your Kubernetes +cluster so that each Dgraph Alpha runs on a separate worker node.{{% /notice %}} + +### Validate Kubernetes Cluster for HA + +Check the nodes that are part of the Kubernetes cluster. + +```sh +kubectl get nodes +``` + +Output for Amazon [EKS](https://aws.amazon.com/eks/): + +```sh +NAME STATUS ROLES AGE VERSION +..compute.internal Ready 1m v1.15.11-eks-af3caf +..compute.internal Ready 1m v1.15.11-eks-af3caf +..compute.internal Ready 1m v1.15.11-eks-af3caf +``` + +Output for Google Cloud [GKE](https://cloud.google.com/kubernetes-engine) + +```sh +NAME STATUS ROLES AGE VERSION +gke--default-pool- Ready 41s v1.14.10-gke.36 +gke--default-pool- Ready 40s v1.14.10-gke.36 +gke--default-pool- Ready 41s v1.14.10-gke.36 +``` + +Once your Kubernetes cluster is up, you can use [dgraph-ha.yaml](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/kubernetes/dgraph-ha/dgraph-ha.yaml) to start the cluster. + +#### Deploy Dgraph HA Cluster + +From your machine, run the following command to start the cluster. + +```sh +kubectl create --filename https://raw.githubusercontent.com/dgraph-io/dgraph/master/contrib/config/kubernetes/dgraph-ha/dgraph-ha.yaml +``` + +Output: +```sh +service/dgraph-zero-public created +service/dgraph-alpha-public created +service/dgraph-ratel-public created +service/dgraph-zero created +service/dgraph-alpha created +statefulset.apps/dgraph-zero created +statefulset.apps/dgraph-alpha created +deployment.apps/dgraph-ratel created +``` + +### Verify Dgraph HA Cluster + +Confirm that the pods were created successfully. + +It may take a few minutes for the pods to come up. + +```sh +kubectl get pods +``` + +Output: +```sh +NAME READY STATUS RESTARTS AGE +dgraph-alpha-0 1/1 Running 0 6m24s +dgraph-alpha-1 1/1 Running 0 5m42s +dgraph-alpha-2 1/1 Running 0 5m2s +dgraph-ratel- 1/1 Running 0 6m23s +dgraph-zero-0 1/1 Running 0 6m24s +dgraph-zero-1 1/1 Running 0 5m41s +dgraph-zero-2 1/1 Running 0 5m6s +``` + +{{% notice "tip" %}}You can check the logs for the containers in the pod using `kubectl logs --follow dgraph-alpha-0` and `kubectl logs --follow dgraph-zero-0`.{{% /notice %}} + +### Test Dgraph HA Cluster Setup + +Port forward from your local machine to the pod + +```sh +kubectl port-forward service/dgraph-alpha-public 8080:8080 +kubectl port-forward service/dgraph-ratel-public 8000:8000 +``` + +Go to `http://localhost:8000` and verify Dgraph is working as expected. + +{{% notice "note" %}} You can also access the service on its External IP address.{{% /notice %}} + +### Delete Dgraph HA Cluster Resources + +Delete all the resources + +```sh +kubectl delete --filename https://raw.githubusercontent.com/dgraph-io/dgraph/master/contrib/config/kubernetes/dgraph-ha/dgraph-ha.yaml +kubectl delete persistentvolumeclaims --selector app=dgraph-zero +kubectl delete persistentvolumeclaims --selector app=dgraph-alpha +``` + +## Using Helm Chart + +Once your Kubernetes cluster is up, you can make use of the Helm chart present +[in our official helm repository here](https://github.com/dgraph-io/charts/) to bring +up a Dgraph cluster. + +{{% notice "note" %}}The instructions below are for Helm versions >= 3.x.{{% /notice %}} + +### Installing the Chart + +To add the Dgraph helm repository: + +```sh +helm repo add dgraph https://charts.dgraph.io +``` + +To install the chart with the release name `my-release`: + +```sh +helm install my-release dgraph/dgraph +``` + +The above command will install the latest available dgraph docker image. In order to install the older versions: + +```sh +helm install my-release dgraph/dgraph --set image.tag="latest" +``` + +By default zero and alpha services are exposed only within the kubernetes cluster as +kubernetes service type `ClusterIP`. In order to expose the alpha service publicly +you can use kubernetes service type `LoadBalancer`: + +```sh +helm install my-release dgraph/dgraph --set alpha.service.type="LoadBalancer" +``` + +Similarly, you can expose alpha and ratel service to the internet as follows: + +```sh +helm install my-release dgraph/dgraph --set alpha.service.type="LoadBalancer" --set ratel.service.type="LoadBalancer" +``` + +### Upgrading the Chart + +You can update your cluster configuration by updating the configuration of the +Helm chart. Dgraph is a stateful database that requires some attention on +upgrading the configuration carefully in order to update your cluster to your +desired configuration. + +In general, you can use [`helm upgrade`][helm-upgrade] to update the +configuration values of the cluster. Depending on your change, you may need to +upgrade the configuration in multiple steps following the steps below. + +[helm-upgrade]: https://helm.sh/docs/helm/helm_upgrade/ + +#### Upgrade to HA cluster setup + +To upgrade to an [HA cluster setup]({{< relref "#ha-cluster-setup" >}}), ensure +that the shard replication setting is more than 1. When `zero.shardReplicaCount` +is not set to an HA configuration (3 or 5), follow the steps below: + +1. Set the shard replica flag on the Zero node group. For example: `zero.shardReplicaCount=3`. +2. Next, run the Helm upgrade command to restart the Zero node group: + ```sh + helm upgrade my-release dgraph/dgraph [options] + ``` +3. Now set the Alpha replica count flag. For example: `alpha.replicaCount=3`. +4. Finally, run the Helm upgrade command again: + ```sh + helm upgrade my-release dgraph/dgraph [options] + ``` + + +### Deleting the Chart + +Delete the Helm deployment as normal + +```sh +helm delete my-release +``` +Deletion of the StatefulSet doesn't cascade to deleting associated PVCs. To delete them: + +```sh +kubectl delete pvc -l release=my-release,chart=dgraph +``` + +### Configuration + +The following table lists the configurable parameters of the dgraph chart and their default values. + +| Parameter | Description | Default | +| ------------------------------------ | ------------------------------------------------------------------- | --------------------------------------------------- | +| `image.registry` | Container registry name | `docker.io` | +| `image.repository` | Container image name | `dgraph/dgraph` | +| `image.tag` | Container image tag | `latest` | +| `image.pullPolicy` | Container pull policy | `Always` | +| `zero.name` | Zero component name | `zero` | +| `zero.updateStrategy` | Strategy for upgrading zero nodes | `RollingUpdate` | +| `zero.monitorLabel` | Monitor label for zero, used by prometheus. | `zero-dgraph-io` | +| `zero.rollingUpdatePartition` | Partition update strategy | `nil` | +| `zero.podManagementPolicy` | Pod management policy for zero nodes | `OrderedReady` | +| `zero.replicaCount` | Number of zero nodes | `3` | +| `zero.shardReplicaCount` | Max number of replicas per data shard | `5` | +| `zero.terminationGracePeriodSeconds` | Zero server pod termination grace period | `60` | +| `zero.antiAffinity` | Zero anti-affinity policy | `soft` | +| `zero.podAntiAffinitytopologyKey` | Anti affinity topology key for zero nodes | `kubernetes.io/hostname` | +| `zero.nodeAffinity` | Zero node affinity policy | `{}` | +| `zero.service.type` | Zero node service type | `ClusterIP` | +| `zero.securityContext.enabled` | Security context for zero nodes enabled | `false` | +| `zero.securityContext.fsGroup` | Group id of the zero container | `1001` | +| `zero.securityContext.runAsUser` | User ID for the zero container | `1001` | +| `zero.persistence.enabled` | Enable persistence for zero using PVC | `true` | +| `zero.persistence.storageClass` | PVC Storage Class for zero volume | `nil` | +| `zero.persistence.accessModes` | PVC Access Mode for zero volume | `ReadWriteOnce` | +| `zero.persistence.size` | PVC Storage Request for zero volume | `8Gi` | +| `zero.nodeSelector` | Node labels for zero pod assignment | `{}` | +| `zero.tolerations` | Zero tolerations | `[]` | +| `zero.resources` | Zero node resources requests & limits | `{}` | +| `zero.livenessProbe` | Zero liveness probes | `See values.yaml for defaults` | +| `zero.readinessProbe` | Zero readiness probes | `See values.yaml for defaults` | +| `alpha.name` | Alpha component name | `alpha` | +| `alpha.updateStrategy` | Strategy for upgrading alpha nodes | `RollingUpdate` | +| `alpha.monitorLabel` | Monitor label for alpha, used by prometheus. | `alpha-dgraph-io` | +| `alpha.rollingUpdatePartition` | Partition update strategy | `nil` | +| `alpha.podManagementPolicy` | Pod management policy for alpha nodes | `OrderedReady` | +| `alpha.replicaCount` | Number of alpha nodes | `3` | +| `alpha.terminationGracePeriodSeconds`| Alpha server pod termination grace period | `60` | +| `alpha.antiAffinity` | Alpha anti-affinity policy | `soft` | +| `alpha.podAntiAffinitytopologyKey` | Anti affinity topology key for zero nodes | `kubernetes.io/hostname` | +| `alpha.nodeAffinity` | Alpha node affinity policy | `{}` | +| `alpha.service.type` | Alpha node service type | `ClusterIP` | +| `alpha.securityContext.enabled` | Security context for alpha nodes enabled | `false` | +| `alpha.securityContext.fsGroup` | Group id of the alpha container | `1001` | +| `alpha.securityContext.runAsUser` | User ID for the alpha container | `1001` | +| `alpha.persistence.enabled` | Enable persistence for alpha using PVC | `true` | +| `alpha.persistence.storageClass` | PVC Storage Class for alpha volume | `nil` | +| `alpha.persistence.accessModes` | PVC Access Mode for alpha volume | `ReadWriteOnce` | +| `alpha.persistence.size` | PVC Storage Request for alpha volume | `8Gi` | +| `alpha.nodeSelector` | Node labels for alpha pod assignment | `{}` | +| `alpha.tolerations` | Alpha tolerations | `[]` | +| `alpha.resources` | Alpha node resources requests & limits | `{}` | +| `alpha.livenessProbe` | Alpha liveness probes | `See values.yaml for defaults` | +| `alpha.readinessProbe` | Alpha readiness probes | `See values.yaml for defaults` | +| `ratel.name` | Ratel component name | `ratel` | +| `ratel.replicaCount` | Number of ratel nodes | `1` | +| `ratel.service.type` | Ratel service type | `ClusterIP` | +| `ratel.securityContext.enabled` | Security context for ratel nodes enabled | `false` | +| `ratel.securityContext.fsGroup` | Group id of the ratel container | `1001` | +| `ratel.securityContext.runAsUser` | User ID for the ratel container | `1001` | +| `ratel.livenessProbe` | Ratel liveness probes | `See values.yaml for defaults` | +| `ratel.readinessProbe` | Ratel readiness probes | `See values.yaml for defaults` | + +## Monitoring in Kubernetes + +Dgraph exposes prometheus metrics to monitor the state of various components involved in the cluster, this includes dgraph alpha and zero. + +Follow the below mentioned steps to setup prometheus monitoring for your cluster: + +* Install Prometheus operator: + +```sh +kubectl apply -f https://raw.githubusercontent.com/coreos/prometheus-operator/release-0.34/bundle.yaml +``` + +* Ensure that the instance of `prometheus-operator` has started before continuing. + +```sh +$ kubectl get deployments prometheus-operator +NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE +prometheus-operator 1 1 1 1 3m +``` + +* Apply prometheus manifest present [here](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/monitoring/prometheus/prometheus.yaml). + +```sh +$ kubectl apply -f prometheus.yaml + +serviceaccount/prometheus-dgraph-io created +clusterrole.rbac.authorization.k8s.io/prometheus-dgraph-io created +clusterrolebinding.rbac.authorization.k8s.io/prometheus-dgraph-io created +servicemonitor.monitoring.coreos.com/alpha.dgraph-io created +servicemonitor.monitoring.coreos.com/zero-dgraph-io created +prometheus.monitoring.coreos.com/dgraph-io created +``` + +To view prometheus UI locally run: + +```sh +kubectl port-forward prometheus-dgraph-io-0 9090:9090 +``` + +The UI is accessible at port 9090. Open http://localhost:9090 in your browser to play around. + +To register alerts from dgraph cluster with your prometheus deployment follow the steps below: + +* Create a kubernetes secret containing alertmanager configuration. Edit the configuration file present [here](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/monitoring/prometheus/alertmanager-config.yaml) +with the required reciever configuration including the slack webhook credential and create the secret. + +You can find more information about alertmanager configuration [here](https://prometheus.io/docs/alerting/configuration/). + +```sh +$ kubectl create secret generic alertmanager-alertmanager-dgraph-io --from-file=alertmanager.yaml=alertmanager-config.yaml + +$ kubectl get secrets +NAME TYPE DATA AGE +alertmanager-alertmanager-dgraph-io Opaque 1 87m +``` + +* Apply the [alertmanager](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/monitoring/prometheus/alertmanager.yaml) along with [alert-rules](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/monitoring/prometheus/alert-rules.yaml) manifest +to use the default configured alert configuration. You can also add custom rules based on the metrics exposed by dgraph cluster similar to [alert-rules](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/monitoring/prometheus/alert-rules.yaml) +manifest. + +```sh +$ kubectl apply -f alertmanager.yaml +alertmanager.monitoring.coreos.com/alertmanager-dgraph-io created +service/alertmanager-dgraph-io created + +$ kubectl apply -f alert-rules.yaml +prometheusrule.monitoring.coreos.com/prometheus-rules-dgraph-io created +``` + +## Kubernetes Storage + +The Kubernetes configurations in the previous sections were configured to run +Dgraph with any storage type (`storage-class: anything`). On the common cloud +environments like AWS, GCP, and Azure, the default storage type are slow disks +like hard disks or low IOPS SSDs. We highly recommend using faster disks for +ideal performance when running Dgraph. + +### Local storage + +The AWS storage-optimized i-class instances provide locally attached NVMe-based +SSD storage which provide consistent very high IOPS. The Dgraph team uses +i3.large instances on AWS to test Dgraph. + +You can create a Kubernetes `StorageClass` object to provision a specific type +of storage volume which you can then attach to your Dgraph pods. You can set up +your cluster with local SSDs by using [Local Persistent +Volumes](https://kubernetes.io/blog/2018/04/13/local-persistent-volumes-beta/). +This Kubernetes feature is in beta at the time of this writing (Kubernetes +v1.13.1). You can first set up an EC2 instance with locally attached storage. +Once it is formatted and mounted properly, then you can create a StorageClass to +access it.: + +```yaml +apiVersion: storage.k8s.io/v1 +kind: StorageClass +metadata: + name: +provisioner: kubernetes.io/no-provisioner +volumeBindingMode: WaitForFirstConsumer +``` + +Currently, Kubernetes does not allow automatic provisioning of local storage. So +a PersistentVolume with a specific mount path should be created: + +```yaml +apiVersion: v1 +kind: PersistentVolume +metadata: + name: +spec: + capacity: + storage: 475Gi + volumeMode: Filesystem + accessModes: + - ReadWriteOnce + persistentVolumeReclaimPolicy: Delete + storageClassName: + local: + path: /data + nodeAffinity: + required: + nodeSelectorTerms: + - matchExpressions: + - key: kubernetes.io/hostname + operator: In + values: + - +``` + +Then, in the StatefulSet configuration you can claim this local storage in +.spec.volumeClaimTemplate: + +``` +kind: StatefulSet +... + volumeClaimTemplates: + - metadata: + name: datadir + spec: + accessModes: + - ReadWriteOnce + storageClassName: + resources: + requests: + storage: 500Gi +``` + +You can repeat these steps for each instance that's configured with local +node storage. + +### Non-local persistent disks + +EBS volumes on AWS and PDs on GCP are persistent disks that can be configured +with Dgraph. The disk performance is much lower than locally attached storage +but can be sufficient for your workload such as testing environments. + +When using EBS volumes on AWS, we recommend using Provisioned IOPS SSD EBS +volumes (the io1 disk type) which provide consistent IOPS. The available IOPS +for AWS EBS volumes is based on the total disk size. With Kubernetes, you can +request io1 disks to be provisioned with this config with 50 IOPS/GB using the +`iopsPerGB` parameter: + +``` +kind: StorageClass +apiVersion: storage.k8s.io/v1 +metadata: + name: +provisioner: kubernetes.io/aws-ebs +parameters: + type: io1 + iopsPerGB: "50" + fsType: ext4 +``` + +Example: Requesting a disk size of 250Gi with this storage class would provide +12.5K IOPS. + +## Removing a Dgraph Pod + +In the event that you need to completely remove a pod (e.g., its disk got +corrupted and data cannot be recovered), you can use the `/removeNode` API to +remove the node from the cluster. With a Kubernetes StatefulSet, you'll need to +remove the node in this order: + +1. On the Zero leader, call `/removeNode` to remove the Dgraph instance from + the cluster (see [More about Dgraph Zero]({{< relref + "#more-about-dgraph-zero" >}})). The removed instance will immediately stop + running. Any further attempts to join the cluster will fail for that instance + since it has been removed. +2. Remove the PersistentVolumeClaim associated with the pod to delete its data. + This prepares the pod to join with a clean state. +3. Restart the pod. This will create a new PersistentVolumeClaim to create new + data directories. + +When an Alpha pod restarts in a replicated cluster, it will join as a new member +of the cluster, be assigned a group and an unused index from Zero, and receive +the latest snapshot from the Alpha leader of the group. + +When a Zero pod restarts, it must join the existing group with an unused index +ID. The index ID is set with the `--idx` flag. This may require the StatefulSet +configuration to be updated. + +## Kubernetes and Bulk Loader + +You may want to initialize a new cluster with an existing data set such as data +from the [Dgraph Bulk Loader]({{< relref "#bulk-loader" >}}). You can use [Init +Containers](https://kubernetes.io/docs/concepts/workloads/pods/init-containers/) +to copy the data to the pod volume before the Alpha process runs. + +See the `initContainers` configuration in +[dgraph-ha.yaml](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/kubernetes/dgraph-ha/dgraph-ha.yaml) +to learn more. \ No newline at end of file diff --git a/wiki/content/deploy/log-format.md b/wiki/content/deploy/log-format.md new file mode 100644 index 00000000000..2bf94110fe9 --- /dev/null +++ b/wiki/content/deploy/log-format.md @@ -0,0 +1,28 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Log Format" +[menu.main] + parent = "deploy" + weight = 9 ++++ + +Dgraph's log format comes from the glog library and is [formatted](https://github.com/golang/glog/blob/23def4e6c14b4da8ac2ed8007337bc5eb5007998/glog.go#L523-L533) as follows: + + `Lmmdd hh:mm:ss.uuuuuu threadid file:line] msg...` + +Where the fields are defined as follows: + +``` + L A single character, representing the log level (eg 'I' for INFO) + mm The month (zero padded; ie May is '05') + dd The day (zero padded) + hh:mm:ss.uuuuuu Time in hours, minutes and fractional seconds + threadid The space-padded thread ID as returned by GetTID() + file The file name + line The line number + msg The user-supplied message +``` + +## Query Logging + +To enable query logging, you must set `-v=3` which will enable verbose logging for everything. Alternatively, you can set `--vmodule=server=3` for only the dgraph/server.go file which would only enable query/mutation logging. diff --git a/wiki/content/deploy/ludicrous-mode.md b/wiki/content/deploy/ludicrous-mode.md new file mode 100644 index 00000000000..f580e3c33bf --- /dev/null +++ b/wiki/content/deploy/ludicrous-mode.md @@ -0,0 +1,40 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Ludicrous Mode" +[menu.main] + parent = "deploy" + weight = 13 ++++ + +Ludicrous mode is available in Dgraph v20.03.1 or later. + +Ludicrous mode allows Dgraph to ingest data at an incredibly fast speed. It differs from the normal mode as it provides fewer guarantees. In normal mode, Dgraph provides strong consistency. In ludicrous mode, Dgraph provides eventual consistency. In ludicrous mode, any mutation which succeeds **might be available eventually**. **Eventually** means the changes will be applied later and might not be reflected in queries away. If Dgraph crashes unexpectedly, there **might** be unapplied mutations which **will not** be picked up when Dgraph restarts. Dgraph with ludicrous mode enabled behaves as an eventually consistent system. + + +## How do I enable it? + +Ludicrous mode can be enabled by setting the `--ludicrous_mode` config option to all Zero and Alpha instances in the cluster. + + +## What does it do? + +It doesn't wait for mutations to be applied. When a mutation comes, it proposes the mutation to the cluster and as soon as the proposal reaches the other nodes, it returns the response right away. You don't need to send a commit request for mutation. It's equivalent to having CommitNow set automatically for all mutations. All the mutations are then sent to background workers which keep applying them. + +Also, Dgraph does not sync writes to disk. This increases throughput but may result in loss of unsynced writes in the event of hardware failure. + + +## What is the trade off? + +As mentioned in the section above, it provides amazing speed at the cost of some guarantees. + +It can be used when we have write-heavy operations and there is a time gap between queries and mutations, or you are fine with potentially reading stale data. + +There are no transactions in ludicrous mode. That is, you cannot open a transaction, apply a mutation, and then decide to cancel the transaction. Every mutation request is committed to Dgraph. + +## Can the cluster run with HA? + +Yes, ludicrous mode works with the cluster set up in a highly-available (HA) configuration. + +## Can the cluster run with multiple data shards? + +Yes, ludicrous mode works with the cluster set up with multiple data shards. \ No newline at end of file diff --git a/wiki/content/deploy/metrics.md b/wiki/content/deploy/metrics.md new file mode 100644 index 00000000000..42c5e1cb8e0 --- /dev/null +++ b/wiki/content/deploy/metrics.md @@ -0,0 +1,73 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Metrics" +[menu.main] + parent = "deploy" + weight = 15 ++++ + + +Dgraph metrics follow the [metric and label conventions for +Prometheus](https://prometheus.io/docs/practices/naming/). + +## Disk Metrics + +The disk metrics let you track the disk activity of the Dgraph process. Dgraph does not interact +directly with the filesystem. Instead it relies on [Badger](https://github.com/dgraph-io/badger) to +read from and write to disk. + + Metrics | Description + ------- | ----------- + `badger_v2_disk_reads_total` | Total count of disk reads in Badger. + `badger_v2_disk_writes_total` | Total count of disk writes in Badger. + `badger_v2_gets_total` | Total count of calls to Badger's `get`. + `badger_v2_memtable_gets_total` | Total count of memtable accesses to Badger's `get`. + `badger_v2_puts_total` | Total count of calls to Badger's `put`. + `badger_v2_read_bytes` | Total bytes read from Badger. + `badger_v2_written_bytes` | Total bytes written to Badger. + +## Memory Metrics + +The memory metrics let you track the memory usage of the Dgraph process. The idle and inuse metrics +gives you a better sense of the active memory usage of the Dgraph process. The process memory metric +shows the memory usage as measured by the operating system. + +By looking at all three metrics you can see how much memory a Dgraph process is holding from the +operating system and how much is actively in use. + + Metrics | Description + ------- | ----------- + `dgraph_memory_idle_bytes` | Estimated amount of memory that is being held idle that could be reclaimed by the OS. + `dgraph_memory_inuse_bytes` | Total memory usage in bytes (sum of heap usage and stack usage). + `dgraph_memory_proc_bytes` | Total memory usage in bytes of the Dgraph process. On Linux/macOS, this metric is equivalent to resident set size. On Windows, this metric is equivalent to [Go's runtime.ReadMemStats](https://golang.org/pkg/runtime/#ReadMemStats). + +## Activity Metrics + +The activity metrics let you track the mutations, queries, and proposals of an Dgraph instance. + + Metrics | Description + ------- | ----------- + `go_goroutines` | Total number of Goroutines currently running in Dgraph. + `dgraph_active_mutations_total` | Total number of mutations currently running. + `dgraph_pending_proposals_total` | Total pending Raft proposals. + `dgraph_pending_queries_total` | Total number of queries in progress. + `dgraph_num_queries_total{method="Server.Mutate"}` | Total number of mutations run in Dgraph. + `dgraph_num_queries_total{method="Server.Query"}` | Total number of queries run in Dgraph. + +## Health Metrics + +The health metrics let you track to check the availability of an Dgraph Alpha instance. + + Metrics | Description + ------- | ----------- + `dgraph_alpha_health_status` | **Only applicable to Dgraph Alpha**. Value is 1 when the Alpha is ready to accept requests; otherwise 0. + +## Go Metrics + +Go's built-in metrics may also be useful to measure for memory usage and garbage collection time. + + Metrics | Description + ------- | ----------- + `go_memstats_gc_cpu_fraction` | The fraction of this program's available CPU time used by the GC since the program started. + `go_memstats_heap_idle_bytes` | Number of heap bytes waiting to be used. + `go_memstats_heap_inuse_bytes` | Number of heap bytes that are in use. diff --git a/wiki/content/deploy/monitoring.md b/wiki/content/deploy/monitoring.md new file mode 100644 index 00000000000..9ba57e6cae2 --- /dev/null +++ b/wiki/content/deploy/monitoring.md @@ -0,0 +1,116 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Monitoring" +[menu.main] + parent = "deploy" + weight = 14 ++++ + +Dgraph exposes metrics via the `/debug/vars` endpoint in json format and the `/debug/prometheus_metrics` endpoint in Prometheus's text-based format. Dgraph doesn't store the metrics and only exposes the value of the metrics at that instant. You can either poll this endpoint to get the data in your monitoring systems or install **[Prometheus](https://prometheus.io/docs/introduction/install/)**. Replace targets in the below config file with the ip of your Dgraph instances and run prometheus using the command `prometheus -config.file my_config.yaml`. + +```sh +scrape_configs: + - job_name: "dgraph" + metrics_path: "/debug/prometheus_metrics" + scrape_interval: "2s" + static_configs: + - targets: + - 172.31.9.133:6080 # For Dgraph zero, 6080 is the http endpoint exposing metrics. + - 172.31.15.230:8080 # For Dgraph alpha, 8080 is the http endpoint exposing metrics. + - 172.31.0.170:8080 + - 172.31.8.118:8080 +``` + +{{% notice "note" %}} +Raw data exported by Prometheus is available via `/debug/prometheus_metrics` endpoint on Dgraph alphas. +{{% /notice %}} + +Install **[Grafana](http://docs.grafana.org/installation/)** to plot the metrics. Grafana runs at port 3000 in default settings. Create a prometheus datasource by following these **[steps](https://prometheus.io/docs/visualization/grafana/#creating-a-prometheus-data-source)**. Import **[grafana_dashboard.json](https://github.com/dgraph-io/benchmarks/blob/master/scripts/grafana_dashboard.json)** by following this **[link](http://docs.grafana.org/reference/export_import/#importing-a-dashboard)**. + + +## CloudWatch + +Route53's health checks can be leveraged to create standard CloudWatch alarms to notify on change in the status of the `/health` endpoints of Alpha and Zero. + +Considering that the endpoints to monitor are publicly accessible and you have the AWS credentials and [awscli](https://aws.amazon.com/cli/) setup, we’ll go through an example of setting up a simple CloudWatch alarm configured to alert via email for the Alpha endpoint `alpha.acme.org:8080/health`. Dgraph Zero's `/health` endpoint can also be monitored in a similar way. + + + +### Create the Route53 Health Check +```sh +aws route53 create-health-check \ + --caller-reference $(date "+%Y%m%d%H%M%S") \ + --health-check-config file:///tmp/create-healthcheck.json \ + --query 'HealthCheck.Id' +``` +The file `/tmp/create-healthcheck.json` would need to have the values for the parameters required to create the health check as such: +```sh +{ + "Type": "HTTPS", + "ResourcePath": "/health", + "FullyQualifiedDomainName": "alpha.acme.org", + "Port": 8080, + "RequestInterval": 30, + "FailureThreshold": 3 +} +``` +The reference for the values one can specify while creating or updating a health check can be found on the AWS [documentation](https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/health-checks-creating-values.html). + +The response to the above command would be the ID of the created health check. +```sh +"29bdeaaa-f5b5-417e-a5ce-7dba1k5f131b" +``` +Make a note of the health check ID. This will be used to integrate CloudWatch alarms with the health check. + +{{% notice "note" %}} +Currently, Route53 metrics are only (available)[https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/monitoring-health-checks.html] in the **US East (N. Virginia)** region. The Cloudwatch Alarm (and the SNS Topic) should therefore be created in `us-east-1`. +{{% /notice %}} + +### [Optional] Creating an SNS Topic +SNS topics are used to create message delivery channels. If you do not have any SNS topics configured, one can be created by running the following command: + +```sh +aws sns create-topic --region=us-east-1 --name ops --query 'TopicArn' +``` + +The response to the above command would be as follows: +```sh +"arn:aws:sns:us-east-1:123456789012:ops" +``` +Be sure to make a note of the topic ARN. This would be used to configure the CloudWatch alarm's action parameter. + +Run the following command to subscribe your email to the SNS topic: +```sh +aws sns subscribe \ + --topic-arn arn:aws:sns:us-east-1:123456789012:ops \ + --protocol email \ + --notification-endpoint ops@acme.org +``` +The subscription will need to be confirmed through *AWS Notification - Subscription Confirmation* sent through email. Once the subscription is confirmed, CloudWatch can be configured to use the SNS topic to trigger the alarm notification. + + + +### Creating a CloudWatch Alarm +The following command creates a CloudWatch alarm with `--alarm-actions` set to the ARN of the SNS topic and the `--dimensions` of the alarm set to the health check ID. +```sh +aws cloudwatch put-metric-alarm \ + --region=us-east-1 \ + --alarm-name dgraph-alpha \ + --alarm-description "Alarm for when Alpha is down" \ + --metric-name HealthCheckStatus \ + --dimensions "Name=HealthCheckId,Value=29bdeaaa-f5b5-417e-a5ce-7dba1k5f131b" \ + --namespace AWS/Route53 \ + --statistic Minimum \ + --period 60 \ + --threshold 1 \ + --comparison-operator LessThanThreshold \ + --evaluation-periods 1 \ + --treat-missing-data breaching \ + --alarm-actions arn:aws:sns:us-east-1:123456789012:ops +``` + +One can verify the alarm status from the CloudWatch or Route53 consoles. + +#### Internal Endpoints +If the Alpha endpoint is internal to the VPC network - one would need to create a Lambda function that would periodically (triggered using CloudWatch Event Rules) request the `/health` path and create CloudWatch metrics which could then be used to create the required CloudWatch alarms. +The architecture and the CloudFormation template to achieve the same can be found [here](https://aws.amazon.com/blogs/networking-and-content-delivery/performing-route-53-health-checks-on-private-resources-in-a-vpc-with-aws-lambda-and-amazon-cloudwatch/). diff --git a/wiki/content/deploy/multi-host-setup.md b/wiki/content/deploy/multi-host-setup.md new file mode 100644 index 00000000000..aa000546f28 --- /dev/null +++ b/wiki/content/deploy/multi-host-setup.md @@ -0,0 +1,264 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Multi Host Setup" +[menu.main] + parent = "deploy" + weight = 5 ++++ + +## Using Docker Swarm + +### Cluster Setup Using Docker Swarm + +{{% notice "note" %}}These instructions are for running Dgraph Alpha without TLS config. +Instructions for running with TLS refer [TLS instructions](#tls-configuration).{{% /notice %}} + +Here we'll go through an example of deploying 3 Dgraph Alpha nodes and 1 Zero on three different AWS instances using Docker Swarm with a replication factor of 3. + +* Make sure you have Docker Machine installed by following [instructions](https://docs.docker.com/machine/install-machine/). + +```sh +docker-machine --version +``` + +* Create 3 instances on AWS and [install Docker Engine](https://docs.docker.com/engine/installation/) on them. This can be done manually or by using `docker-machine`. +You'll have to [configure your AWS credentials](http://docs.aws.amazon.com/sdk-for-java/v1/developer-guide/setup-credentials.html) to create the instances using Docker Machine. + +Considering that you have AWS credentials setup, you can use the below commands to start 3 AWS +`t2-medium` instances with Docker Engine installed on them. + +```sh +docker-machine create --driver amazonec2 --amazonec2-instance-type t2.medium aws01 +docker-machine create --driver amazonec2 --amazonec2-instance-type t2.medium aws02 +docker-machine create --driver amazonec2 --amazonec2-instance-type t2.medium aws03 +``` + +Your output should look like + +```sh +Running pre-create checks... +Creating machine... +(aws01) Launching instance... +... +... +Docker is up and running! +To see how to connect your Docker Client to the Docker Engine running on this virtual machine, run: docker-machine env aws01 +``` + +The command would provision a `t2-medium` instance with a security group called `docker-machine` +(allowing inbound access on 2376 and 22). + +You would need to edit the `docker-machine` security group to open inbound traffic on the following ports. + +1. Allow all inbound traffic on all ports with Source being `docker-machine` + security ports so that Docker related communication can happen easily. + +2. Also open inbound TCP traffic on the following ports required by Dgraph: + `5080`, `6080`, `8000`, `808[0-2]`, `908[0-2]`. Remember port *5080* is only + required if you are running Dgraph Live Loader or Dgraph Bulk Loader from + outside. You need to open `7080` to enable Alpha-to-Alpha communication in + case you have not opened all ports in #1. + +If you are on AWS, below is the security group (**docker-machine**) after +necessary changes. + +{{% load-img "/images/aws.png" "AWS Security Group" %}} + +[Here](https://docs.docker.com/machine/drivers/aws/#options) is a list of full options for the `amazonec2` driver which allows you choose the +instance type, security group, AMI among many other +things. + +{{% notice "tip" %}}Docker machine supports [other drivers](https://docs.docker.com/machine/drivers/gce/) like GCE, Azure etc.{{% /notice %}} + +Running `docker-machine ls` shows all the AWS EC2 instances that we started. +```sh +➜ ~ docker-machine ls +NAME ACTIVE DRIVER STATE URL SWARM DOCKER ERRORS +aws01 - amazonec2 Running tcp://34.200.239.30:2376 v17.11.0-ce +aws02 - amazonec2 Running tcp://54.236.58.120:2376 v17.11.0-ce +aws03 - amazonec2 Running tcp://34.201.22.2:2376 v17.11.0-ce +``` + +* Start the Swarm + +Docker Swarm has manager and worker nodes. Swarm can be started and updated on manager nodes. We + will setup `aws01` as swarm manager. You can first run the following commands to initialize the + swarm. + +We are going to use the internal IP address given by AWS. Run the following command to get the +internal IP for `aws01`. Lets assume `172.31.64.18` is the internal IP in this case. +``` +docker-machine ssh aws01 ifconfig eth0 +``` + +Now that we have the internal IP, let's initiate the Swarm. + +```sh +# This configures our Docker client to talk to the Docker engine running on the aws01 host. +eval $(docker-machine env aws01) +docker swarm init --advertise-addr 172.31.64.18 +``` + +Output: +``` +Swarm initialized: current node (w9mpjhuju7nyewmg8043ypctf) is now a manager. + +To add a worker to this swarm, run the following command: + + docker swarm join \ + --token SWMTKN-1-1y7lba98i5jv9oscf10sscbvkmttccdqtkxg478g3qahy8dqvg-5r5cbsntc1aamsw3s4h3thvgk \ + 172.31.64.18:2377 + +To add a manager to this swarm, run 'docker swarm join-token manager' and follow the instructions. +``` + +Now we will make other nodes join the swarm. + +```sh +eval $(docker-machine env aws02) +docker swarm join \ + --token SWMTKN-1-1y7lba98i5jv9oscf10sscbvkmttccdqtkxg478g3qahy8dqvg-5r5cbsntc1aamsw3s4h3thvgk \ + 172.31.64.18:2377 +``` + +Output: +``` +This node joined a swarm as a worker. +``` + +Similarly, aws03 +```sh +eval $(docker-machine env aws03) +docker swarm join \ + --token SWMTKN-1-1y7lba98i5jv9oscf10sscbvkmttccdqtkxg478g3qahy8dqvg-5r5cbsntc1aamsw3s4h3thvgk \ + 172.31.64.18:2377 +``` + +On the Swarm manager `aws01`, verify that your swarm is running. +```sh +docker node ls +``` + +Output: + +``` +ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS +ghzapjsto20c6d6l3n0m91zev aws02 Ready Active +rb39d5lgv66it1yi4rto0gn6a aws03 Ready Active +waqdyimp8llvca9i09k4202x5 * aws01 Ready Active Leader +``` + +* Start the Dgraph cluster + +Run the command below to download the `docker-compose-multi.yml` file on your machine. + +```sh +wget https://github.com/dgraph-io/dgraph/raw/master/contrib/config/docker/docker-compose-multi.yml +``` + +Run the following command on the Swarm leader to deploy the Dgraph Cluster. + +```sh +eval $(docker-machine env aws01) +docker stack deploy -c docker-compose-multi.yml dgraph +``` + +This should run three Dgraph Alpha services (one on each VM because of the +constraint we have), one Dgraph Zero service on aws01 and one Dgraph Ratel. + +These placement constraints (as seen in the compose file) are important so that +in case of restarting any containers, swarm places the respective Dgraph Alpha +or Zero containers on the same hosts to re-use the volumes. Also, if you are +running fewer than three hosts, make sure you use either different volumes or +run Dgraph Alpha with `-p p1 -w w1` options. + +{{% notice "note" %}} + +1. This setup would create and use a local volume called `dgraph_data-volume` on + the instances. If you plan to replace instances, you should use remote + storage like + [cloudstore](https://docs.docker.com/docker-for-aws/persistent-data-volumes) + instead of local disk. {{% /notice %}} + +You can verify that all services were created successfully by running: + +```sh +docker service ls +``` + +Output: + +``` +ID NAME MODE REPLICAS IMAGE PORTS +vp5bpwzwawoe dgraph_ratel replicated 1/1 dgraph/dgraph:latest *:8000->8000/tcp +69oge03y0koz dgraph_alpha2 replicated 1/1 dgraph/dgraph:latest *:8081->8081/tcp,*:9081->9081/tcp +kq5yks92mnk6 dgraph_alpha3 replicated 1/1 dgraph/dgraph:latest *:8082->8082/tcp,*:9082->9082/tcp +uild5cqp44dz dgraph_zero replicated 1/1 dgraph/dgraph:latest *:5080->5080/tcp,*:6080->6080/tcp +v9jlw00iz2gg dgraph_alpha1 replicated 1/1 dgraph/dgraph:latest *:8080->8080/tcp,*:9080->9080/tcp +``` + +To stop the cluster run: + +```sh +docker stack rm dgraph +``` + +## HA Cluster setup using Docker Swarm + +Here is a sample swarm config for running 6 Dgraph Alpha nodes and 3 Zero nodes on 6 different +ec2 instances. Setup should be similar to [Cluster setup using Docker Swarm]({{< relref "#cluster-setup-using-docker-swarm" >}}) apart from a couple of differences. This setup would ensure replication with sharding of data. The file assumes that there are six hosts available as docker-machines. Also if you are running on fewer than six hosts, make sure you use either different volumes or run Dgraph Alpha with `-p p1 -w w1` options. + +You would need to edit the `docker-machine` security group to open inbound traffic on the following ports. + +1. Allow all inbound traffic on all ports with Source being `docker-machine` security ports so that + docker related communication can happen easily. + +2. Also open inbound TCP traffic on the following ports required by Dgraph: `5080`, `8000`, `808[0-5]`, `908[0-5]`. Remember port *5080* is only required if you are running Dgraph Live Loader or Dgraph Bulk Loader from outside. You need to open `7080` to enable Alpha-to-Alpha communication in case you have not opened all ports in #1. + +If you are on AWS, below is the security group (**docker-machine**) after necessary changes. + +{{% load-img "/images/aws.png" "AWS Security Group" %}} + +Run the command below to download the `docker-compose-ha.yml` file on your machine. + +```sh +wget https://github.com/dgraph-io/dgraph/raw/master/contrib/config/docker/docker-compose-ha.yml +``` + +Run the following command on the Swarm leader to deploy the Dgraph Cluster. + +```sh +eval $(docker-machine env aws01) +docker stack deploy -c docker-compose-ha.yml dgraph +``` + +You can verify that all services were created successfully by running: + +```sh +docker service ls +``` + +Output: +``` +ID NAME MODE REPLICAS IMAGE PORTS +qck6v1lacvtu dgraph_alpha1 replicated 1/1 dgraph/dgraph:latest *:8080->8080/tcp, *:9080->9080/tcp +i3iq5mwhxy8a dgraph_alpha2 replicated 1/1 dgraph/dgraph:latest *:8081->8081/tcp, *:9081->9081/tcp +2ggma86bw7h7 dgraph_alpha3 replicated 1/1 dgraph/dgraph:latest *:8082->8082/tcp, *:9082->9082/tcp +wgn5adzk67n4 dgraph_alpha4 replicated 1/1 dgraph/dgraph:latest *:8083->8083/tcp, *:9083->9083/tcp +uzviqxv9fp2a dgraph_alpha5 replicated 1/1 dgraph/dgraph:latest *:8084->8084/tcp, *:9084->9084/tcp +nl1j457ko54g dgraph_alpha6 replicated 1/1 dgraph/dgraph:latest *:8085->8085/tcp, *:9085->9085/tcp +s11bwr4a6371 dgraph_ratel replicated 1/1 dgraph/dgraph:latest *:8000->8000/tcp +vchibvpquaes dgraph_zero1 replicated 1/1 dgraph/dgraph:latest *:5080->5080/tcp, *:6080->6080/tcp +199rezd7pw7c dgraph_zero2 replicated 1/1 dgraph/dgraph:latest *:5081->5081/tcp, *:6081->6081/tcp +yb8ella56oxt dgraph_zero3 replicated 1/1 dgraph/dgraph:latest *:5082->5082/tcp, *:6082->6082/tcp +``` + +To stop the cluster run: + +```sh +docker stack rm dgraph +``` + +{{% notice "note" %}} +1. This setup assumes that you are using 6 hosts, but if you are running fewer than 6 hosts then you have to either use different volumes between Dgraph alphas or use `-p` & `-w` to configure data directories. +2. This setup would create and use a local volume called `dgraph_data-volume` on the instances. If you plan to replace instances, you should use remote storage like [cloudstore](https://docs.docker.com/docker-for-aws/persistent-data-volumes) instead of local disk. {{% /notice %}} \ No newline at end of file diff --git a/wiki/content/deploy/ports-usage.md b/wiki/content/deploy/ports-usage.md new file mode 100644 index 00000000000..f701ed75826 --- /dev/null +++ b/wiki/content/deploy/ports-usage.md @@ -0,0 +1,77 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Ports Usage" +[menu.main] + parent = "deploy" + weight = 3 ++++ + +Dgraph cluster nodes use different ports to communicate over gRPC and HTTP. Users should pay attention while choosing these ports based on their topology and deployment-mode as each port needs different access security rules or firewall. + +## Types of ports + +- **gRPC-internal:** Port that is used between the cluster nodes for internal communication and message exchange. +- **gRPC-external:** Port that is used by Dgraph clients, Dgraph Live Loader , and Dgraph Bulk loader to access APIs over gRPC. +- **http-external:** Port that is used by clients to access APIs over HTTP and other monitoring & administrative tasks. + +## Ports used by different nodes + + Dgraph Node Type | gRPC-internal | gRPC-external | HTTP-external +------------------|-----------------------|---------------|--------------- + zero | 50801 | --Not Used-- | 60802 + alpha | 7080 | 9080 | 8080 + ratel | --Not Used-- | --Not Used-- | 8000 + + +1: Dgraph Zero's gRPC-internal port is used for internal communication within the cluster. It's also needed for the [fast data loading]({{< relref "#fast-data-loading" >}}) tools Dgraph Live Loader and Dgraph Bulk Loader. + +2: Dgraph Zero's HTTP-external port is used for [admin]({{< relref "#more-about-dgraph-zero" >}}) operations. Access to it is not required by clients. + +Users have to modify security rules or open firewall ports depending up on their underlying network to allow communication between cluster nodes and between the Dgraph instances themselves and between Dgraph and a client. A general rule is to make *-external (gRPC/HTTP) ports wide open to clients and gRPC-internal ports open within the cluster nodes. + +**Ratel UI** accesses Dgraph Alpha on the HTTP-external port (default localhost:8080) and can be configured to talk to remote Dgraph cluster. This way you can run Ratel on your local machine and point to a remote cluster. But if you are deploying Ratel along with Dgraph cluster, then you may have to expose 8000 to the public. + +**Port Offset** To make it easier for user to setup the cluster, Dgraph defaults the ports used by Dgraph nodes and let user to provide an offset (through command option `--port_offset`) to define actual ports used by the node. Offset can also be used when starting multiple zero nodes in a HA setup. + +For example, when a user runs a Dgraph Alpha by setting `--port_offset 2`, then the Alpha node binds to 7082 (gRPC-internal), 8082 (HTTP-external) & 9082 (gRPC-external) respectively. + +**Ratel UI** by default listens on port 8000. You can use the `-port` flag to configure to listen on any other port. + +## HA Cluster Setup + +In a high-availability setup, we need to run 3 or 5 replicas for Zero, and similarly, 3 or 5 replicas for Alpha. +{{% notice "note" %}} +If number of replicas is 2K + 1, up to **K servers** can be down without any impact on reads or writes. + +Avoid keeping replicas to 2K (even number). If K servers go down, this would block reads and writes, due to lack of consensus. +{{% /notice %}} + +### Dgraph Zero + +Run three Zero instances, assigning a unique ID(Integer) to each via `--idx` flag, and +passing the address of any healthy Zero instance via `--peer` flag. + +To run three replicas for the alphas, set `--replicas=3`. Every time a new +Dgraph Alpha is added, Zero would check the existing groups and assign them to +one, which doesn't have three replicas. + +### Dgraph Alpha +Run as many Dgraph Alphas as you want. You can manually set `--idx` flag, or you +can leave that flag empty, and Zero would auto-assign an id to the Alpha. This +id would get persisted in the write-ahead log, so be careful not to delete it. + +The new Alphas will automatically detect each other by communicating with +Dgraph zero and establish connections to each other. You can provide a list of +zero addresses to alpha using the `--zero` flag. Alpha will try to connect to +one of the zeros starting from the first zero address in the list. For example: +`--zero=zero1,zero2,zero3` where zero1 is the `host:port` of a zero instance. + +Typically, Zero would first attempt to replicate a group, by assigning a new +Dgraph alpha to run the same group as assigned to another. Once the group has +been replicated as per the `--replicas` flag, Zero would create a new group. + +Over time, the data would be evenly split across all the groups. So, it's +important to ensure that the number of Dgraph alphas is a multiple of the +replication setting. For e.g., if you set `--replicas=3` in Zero, then run three +Dgraph alphas for no sharding, but 3x replication. Run six Dgraph alphas, for +sharding the data into two groups, with 3x replication. \ No newline at end of file diff --git a/wiki/content/deploy/production-checklist.md b/wiki/content/deploy/production-checklist.md new file mode 100644 index 00000000000..3844d31f62a --- /dev/null +++ b/wiki/content/deploy/production-checklist.md @@ -0,0 +1,201 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Production Checklist" +[menu.main] + parent = "deploy" + weight = 20 ++++ + +This guide describes important setup recommendations for a production-ready Dgraph cluster. + +{{% notice "note" %}} +In this guide, a node refers to a Dgraph instance unless specified otherwise. +{{% /notice %}} + +A **Dgraph cluster** is comprised of multiple **Dgraph instances** (aka **nodes**) connected together to form a single distributed database. A Dgraph instance is either a **Dgraph Zero** or **Dgraph Alpha**, each of which serves a different role in the cluster. + +There can be one or more **Dgraph clients** connected to Dgraph to perform database operations (queries, mutations, alter schema, etc.). These clients connect via gRPC or HTTP. Dgraph provides official clients for Go, Java, Python, and JavaScript, and C#. All of these are gRPC-based, and JavaScript supports both gRPC and HTTP for browser support. Community-developed Dgraph clients for other languages are also available. The full list of clients can be found in [Clients]({{< relref "clients/_index.md" >}}) page. You can also interact with Dgraph via curl over HTTP. Dgraph Ratel is a UI client used to visualize queries, run mutations, and manage the schema. Clients do not participate as a member of the database cluster, they simply connect to one or more Dgraph Alpha instances. + +### Cluster Requirements + +A minimum of one Dgraph Zero and one Dgraph Alpha is needed for a working cluster. + +There can be multiple Dgraph Zeros and Dgraph Alphas running in a single cluster. + + +### Machine Requirements + +To ensure predictable performance characteristics, Dgraph instances should NOT run on "burstable" or throttled machines that limit resources. That includes t2 class machines on AWS. + +We recommend each Dgraph instance to be deployed to a single dedicated machine to ensure that Dgraph can take full advantage of machine resources. That is, for a 6-node Dgraph cluster with 3 Dgraph Zeros and 3 Dgraph Alphas, each process runs in its own machine (e.g., EC2 instance). In the event of a machine failure, only one instance is affected, instead of multiple if they were running on that same machine. + +If you'd like to run Dgraph with fewer machines, then the recommended configuration is to run a single Dgraph Zero and a single Dgraph Alpha per machine. In a high availability setup, that allows the cluster to lose a single machine (simultaneously losing a Dgraph Zero and a Dgraph Alpha) with continued availability of the database. + +Do not run multiple Dgraph Zeros or Dgraph Alpha processes on a single machine. This can affect performance due to shared resources and reduce high availability in the event of machine failures. + +### Operating System + +The recommended operating system is Linux for production workloads. Dgraph provides release binaries in Linux, macOS, and Windows. For test environments, you can choose to run Dgraph on any operating system. This deployment guide assumes you are setting up Dgraph on Linux systems (see [Operating System Tuning]({{< relref + "#operating-system-tuning" >}})). + +### CPU and Memory + +At the bare minimum, we recommend machines with at least 2 CPUs and 2 GiB of memory for testing. + +You'll want a sufficient CPU and memory according to your production workload. A common setup for Dgraph is 16 CPUs and 32 GiB of memory per machine. Dgraph is designed with concurrency in mind, so more cores means quicker processing and higher throughput of requests. + +You may find you'll need more CPU cores and memory for your specific use case. + +### Disk + +Dgraph instances make heavy usage of disks, so storage with high IOPS is highly recommended to ensure reliable performance. Specifically, we recommend SSDs, not HDDs. + +Instances such as c5d.4xlarge have locally-attached NVMe SSDs with high IOPS. You can also use EBS volumes with provisioned IOPS (io1). If you are not running performance-critical workloads, you can also choose to use cheaper gp2 EBS volumes. + +Recommended disk sizes for Dgraph Zero and Dgraph Alpha: + +* Dgraph Zero: 200 GB to 300 GB. Dgraph Zero stores cluster metadata information and maintains a write-ahead log for cluster operations. +* Dgraph Alpha: 250 GB to 750 GB. Dgraph Alpha stores database data, including the schema, indices, and the data values. It maintains a write-ahead log of changes to the database. Your cloud provider may provide better disk performance based on the volume size. + +Additional recommendations: + +* The recommended Linux filesystem is ext4. +* Avoid using shared storage such as NFS, CIFS, and CEPH storage. + +### Firewall Rules + +Dgraph instances communicate over several ports. Firewall rules should be configured appropriately for the ports documented in [Ports Usage]({{< relref "deploy/ports-usage.md" >}}). + +Internal ports must be accessible by all Zero and Alpha peers for proper cluster-internal communication. Database clients must be able to connect to Dgraph Alpha external ports either directly or through a load balancer. + +Dgraph Zeros can be set up in a private network where communication is only with Dgraph Alphas, database administrators, internal services (such as Prometheus or Jaeger), and possibly developers (see note below). Dgraph Zero's 6080 external port is only necessary for database administrators. For example, it can be used to inspect the cluster metadata (/state), allocate UIDs or set txn timestamps (/assign), move data shards (/moveTablet), or remove cluster nodes (/removeNode). The full docs about Zero's administrative tasks are in [More About Dgraph Zero]({{< relref "deploy/dgraph-zero.md" >}}). + +{{% notice "note" %}} +Developers using Dgraph Live Loader or Dgraph Bulk Loader require access to both Dgraph Zero port 5080 and Dgraph Alpha port 9080. When using those tools, consider using them within your environment that has network access to both ports of the cluster. +{{% /notice %}} + +### Operating System Tuning + +The OS should be configured with the recommended settings to ensure that Dgraph runs properly. + +#### File Descriptors Limit + +Dgraph can use a large number of open file descriptors. Most operating systems set a default limit that is lower than what is required. + +It is recommended to set the file descriptors limit to unlimited. If that is not possible, set it to at least a million (1,048,576) which is recommended to account for cluster growth over time. + +### Deployment + +A Dgraph instance is run as a single process from a single static binary. It does not require any additional dependencies or separate services in order to run (see the [Supplementary Services]({{< relref "#supplementary-services" >}}) section for third-party services that work alongside Dgraph). A Dgraph cluster is set up by running multiple Dgraph processes networked together. + +### Terminology + +An **N-node cluster** is a Dgraph cluster that contains N number of Dgraph instances. For example, a 6-node cluster means six Dgraph instances. The **replication setting** specifies the number of Dgraph Alpha replicas are assigned per group. The replication setting is a configuration flag (`--replicas`) on Dgraph Zero. A **Dgraph Alpha group** is a set of Dgraph Alphas that store replications of the data amongst each other. Every Dgraph Alpha group is assigned a set of distinct predicates to store and serve. + +Examples of different cluster settings: +* No sharding + * 2-node cluster: 1 Zero, 1 Alpha (one group). + * HA equivalent: x3 = 6-node cluster. +* With 2-way sharding: + * 3-node cluster: 1 Zero, 2 Alphas (two groups). + * HA equivalent: x3 = 9-node cluster. + +In the following examples we outline the two most common cluster configurations: a 2-node cluster and a 6-node cluster. + +### Basic setup: 2-node cluster +We provide sample configs for both [Docker Compose](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/docker/docker-compose.yml) and [Kubernetes](https://github.com/dgraph-io/dgraph/tree/master/contrib/config/kubernetes/dgraph-single) for a 2-node cluster. You can also run Dgraph directly on your host machines. + +{{% load-img "/images/deploy-guide-1.png" "2-node cluster" %}} + +Configuration can be set either as command-line flags, environment variables, or in a config file (see [Config]({{< relref "deploy/_index.md#config" >}})). + +Dgraph Zero: +* The `--my` flag should be set to the address:port (the internal-gRPC port) that will be accessible to the Dgraph Alpha (default: `localhost:5080`). +* The `--idx` flag should be set to a unique Raft ID within the Dgraph Zero group (default: `1`). +* The `--wal` flag should be set to the directory path to store write-ahead-log entries on disk (default: `zw`). +* The `--bindall` flag should be set to true for machine-to-machine communication (default: `true`). +* Recommended: For better issue diagnostics, set the log level verbosity to 2 with the option `--v=2`. + +Dgraph Alpha: +* The `--my` flag should be set to the address:port (the internal-gRPC port) that will be accessible to the Dgraph Zero (default: `localhost:7080`). +* The `--zero` flag should be set to the corresponding Zero address set for Dgraph Zero's `--my` flag. +* The `--postings` flag should be set to the directory path for data storage (default: `p`). +* The `--wal` flag should be set to the directory path for write-ahead-log entries (default: `w`) +* The `--bindall` flag should be set to true for machine-to-machine communication (default: `true`). +* Recommended: For better issue diagnostics, set the log level verbosity to 2 `--v=2`. + +### HA setup: 6-node cluster + +We provide sample configs for both [Docker Compose](https://github.com/dgraph-io/dgraph/blob/master/contrib/config/docker/docker-compose-ha.yml) and [Kubernetes](https://github.com/dgraph-io/dgraph/tree/master/contrib/config/kubernetes/dgraph-ha) for a 6-node cluster with 3 Alpha replicas per group. You can also run Dgraph directly on your host machines. + +A Dgraph cluster can be configured in a high-availability setup with Dgraph Zero and Dgraph Alpha each set up with peers. These peers are part of Raft consensus groups, which elect a single leader amongst themselves. The non-leader peers are called followers. In the event that the peers cannot communicate with the leader (e.g., a network partition or a machine shuts down), the group automatically elects a new leader to continue. + +Configuration can be set either as command-line flags, environment variables, or in a config file (see [Config]({{< relref "deploy/_index.md#config" >}})). + +In this setup, we assume the following hostnames are set: + +- `zero1` +- `zero2` +- `zero3` +- `alpha1` +- `alpha2` +- `alpha3` + +We will configure the cluster with 3 Alpha replicas per group. The cluster group-membership topology will look like the following: + +{{% load-img "/images/deploy-guide-2.png" "Dgraph cluster image" %}} + +#### Set up Dgraph Zero group + +In the Dgraph Zero group you must set unique Raft IDs (`--idx`) per Dgraph Zero. Dgraph will not auto-assign Raft IDs to Dgraph Zero instances. + +The first Dgraph Zero that starts will initiate the database cluster. Any following Dgraph Zero instances must connect to the cluster via the `--peer` flag to join. If the `--peer` flag is omitted from the peers, then the Dgraph Zero will create its own independent Dgraph cluster. + +**First Dgraph Zero** example: `dgraph zero --replicas=3 --idx=1 --my=zero1:5080` + +The `--my` flag must be set to the address:port of this instance that peers will connect to. The `--idx` flag sets its Raft ID to `1`. + +**Second Dgraph Zero** example: `dgraph zero --replicas=3 --idx=2 --my=zero2:5080 --peer=zero1:5080` + +The `--my` flag must be set to the address:port of this instance that peers will connect to. The `--idx` flag sets its Raft ID to 2, and the `--peer` flag specifies a request to connect to the Dgraph cluster of zero1 instead of initializing a new one. + +**Third Dgraph Zero** example: `dgraph zero --replicas=3 --idx=3 --my=zero3:5080 --peer=zero1:5080`: + +The `--my` flag must be set to the address:port of this instance that peers will connect to. The `--idx` flag sets its Raft ID to 3, and the `--peer` flag specifies a request to connect to the Dgraph cluster of zero1 instead of initializing a new one. + +Dgraph Zero configuration options: + +* The `--my` flag should be set to the address:port (the internal-gRPC port) that will be accessible to Dgraph Alpha (default: `localhost:5080`). +* The `--idx` flag should be set to a unique Raft ID within the Dgraph Zero group (default: `1`). +* The `--wal` flag should be set to the directory path to store write-ahead-log entries on disk (default: `zw`). +* The `--bindall` flag should be set to true for machine-to-machine communication (default: `true`). +* Recommended: For more informative log info, set the log level verbosity to 2 with the option `--v=2`. + +#### Set up Dgraph Alpha group + +The number of replica members per Alpha group depends on the setting of Dgraph Zero's `--replicas` flag. Above, it is set to 3. So when Dgraph Alphas join the cluster, Dgraph Zero will assign it to an Alpha group to fill in its members up to the limit per group set by the `--replicas` flag. + +First Alpha example: `dgraph alpha --my=alpha1:7080 --zero=zero1:7080` + +Second Alpha example: `dgraph alpha --my=alpha2:7080 --zero=zero1:7080` + +First Alpha example: `dgraph alpha --my=alpha3:7080 --zero=zero1:7080` + +Dgraph Alpha configuration options: + +* The `--my` flag should be set to the address:port (the internal-gRPC port) that will be accessible to the Dgraph Zero (default: `localhost:7080`). +* The `--zero` flag should be set to the corresponding Zero address set for Dgraph Zero's `--my`flag. +* The `--postings` flag should be set to the directory path for data storage (default: `p`). +* The `--wal` flag should be set to the directory path for write-ahead-log entries (default: `w`) +* The `--bindall` flag should be set to true for machine-to-machine communication (default: `true`). +* Recommended: For more informative log info, set the log level verbosity to 2 `--v=2`. + +### Supplementary Services + +These services are not required for a Dgraph cluster to function but are recommended for better insight when operating a Dgraph cluster. + +- [Metrics and monitoring][] with Prometheus and Grafana. +- [Distributed tracing][] with Jaeger. + +[Metrics and monitoring]: {{< relref "deploy/monitoring.md" >}} +[Distributed tracing]: {{< relref "deploy/tracing.md" >}} diff --git a/wiki/content/deploy/single-host-setup.md b/wiki/content/deploy/single-host-setup.md new file mode 100644 index 00000000000..b8b096f47a2 --- /dev/null +++ b/wiki/content/deploy/single-host-setup.md @@ -0,0 +1,148 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Single Host Setup" +[menu.main] + parent = "deploy" + weight = 4 ++++ + +## Run directly on the host + +### Run dgraph zero + +```sh +dgraph zero --my=IPADDR:5080 +``` +The `--my` flag is the connection that Dgraph alphas would dial to talk to +zero. So, the port `5080` and the IP address must be visible to all the Dgraph alphas. + +For all other various flags, run `dgraph zero --help`. + +### Run dgraph alpha + +```sh +dgraph alpha --lru_mb= --my=IPADDR:7080 --zero=localhost:5080 +dgraph alpha --lru_mb= --my=IPADDR:7081 --zero=localhost:5080 -o=1 +``` + +Notice the use of `-o` for the second Alpha to add offset to the default ports used. Zero automatically assigns an unique ID to each Alpha, which is persisted in the write ahead log (wal) directory, users can specify the index using `--idx` option. Dgraph Alphas use two directories to persist data and +wal logs, and these directories must be different for each Alpha if they are running on the same host. You can use `-p` and `-w` to change the location of the data and WAL directories. For all other flags, run + +`dgraph alpha --help`. + +### Run dgraph UI + +```sh +dgraph-ratel +``` + +## Run using Docker + +Dgraph cluster can be setup running as containers on a single host. First, you'd want to figure out the host IP address. You can typically do that via + +```sh +ip addr # On Arch Linux +ifconfig # On Ubuntu/Mac +``` +We'll refer to the host IP address via `HOSTIPADDR`. + +### Create Docker network + +```sh +docker network create dgraph_default +``` + +### Run dgraph zero + +```sh +mkdir ~/zero # Or any other directory where data should be stored. + +docker run -it -p 5080:5080 --network dgraph_default -p 6080:6080 -v ~/zero:/dgraph dgraph/dgraph:{{< version >}} dgraph zero --my=HOSTIPADDR:5080 +``` + +### Run dgraph alpha +```sh +mkdir ~/server1 # Or any other directory where data should be stored. + +docker run -it -p 7080:7080 --network dgraph_default -p 8080:8080 -p 9080:9080 -v ~/server1:/dgraph dgraph/dgraph:{{< version >}} dgraph alpha --lru_mb= --zero=HOSTIPADDR:5080 --my=HOSTIPADDR:7080 +``` +```sh +mkdir ~/server2 # Or any other directory where data should be stored. + +docker run -it -p 7081:7081 --network dgraph_default -p 8081:8081 -p 9081:9081 -v ~/server2:/dgraph dgraph/dgraph:{{< version >}} dgraph alpha --lru_mb= --zero=HOSTIPADDR:5080 --my=HOSTIPADDR:7081 -o=1 +``` +Notice the use of -o for server2 to override the default ports for server2. + +### Run dgraph UI +```sh +docker run -it -p 8000:8000 --network dgraph_default dgraph/dgraph:{{< version >}} dgraph-ratel +``` + +## Run using Docker Compose (On single AWS instance) + +We will use [Docker Machine](https://docs.docker.com/machine/overview/). It is a tool that lets you install Docker Engine on virtual machines and easily deploy applications. + +* [Install Docker Machine](https://docs.docker.com/machine/install-machine/) on your machine. + +{{% notice "note" %}}These instructions are for running Dgraph Alpha without TLS config. +Instructions for running with TLS refer [TLS instructions](#tls-configuration).{{% /notice %}} + +Here we'll go through an example of deploying Dgraph Zero, Alpha and Ratel on an AWS instance. + +* Make sure you have Docker Machine installed by following [instructions](https://docs.docker.com/machine/install-machine/), provisioning an instance on AWS is just one step away. You'll have to [configure your AWS credentials](http://docs.aws.amazon.com/sdk-for-java/v1/developer-guide/setup-credentials.html) for programmatic access to the Amazon API. + +* Create a new docker machine. + +```sh +docker-machine create --driver amazonec2 aws01 +``` + +Your output should look like + +```sh +Running pre-create checks... +Creating machine... +(aws01) Launching instance... +... +... +Docker is up and running! +To see how to connect your Docker Client to the Docker Engine running on this virtual machine, run: docker-machine env aws01 +``` + +The command would provision a `t2-micro` instance with a security group called `docker-machine` +(allowing inbound access on 2376 and 22). You can either edit the security group to allow inbound access to '5080`, `8080`, `9080` (default ports for Dgraph Zero & Alpha) or you can provide your own security +group which allows inbound access on port 22, 2376 (required by Docker Machine), 5080, 8080 and 9080. Remember port *5080* is only required if you are running Dgraph Live Loader or Dgraph Bulk Loader from outside. + +[Here](https://docs.docker.com/machine/drivers/aws/#options) is a list of full options for the `amazonec2` driver which allows you choose the instance type, security group, AMI among many other things. + +{{% notice "tip" %}}Docker machine supports [other drivers](https://docs.docker.com/machine/drivers/gce/) like GCE, Azure etc.{{% /notice %}} + +* Install and run Dgraph using docker-compose + +Docker Compose is a tool for running multi-container Docker applications. You can follow the +instructions [here](https://docs.docker.com/compose/install/) to install it. + +Run the command below to download the `docker-compose.yml` file on your machine. + +```sh +wget https://github.com/dgraph-io/dgraph/raw/master/contrib/config/docker/docker-compose.yml +``` + +{{% notice "note" %}}The config mounts `/data`(you could mount something else) on the instance to `/dgraph` within the +container for persistence.{{% /notice %}} + +* Connect to the Docker Engine running on the machine. + +Running `docker-machine env aws01` tells us to run the command below to configure +our shell. +``` +eval $(docker-machine env aws01) +``` +This configures our Docker client to talk to the Docker engine running on the AWS Machine. + +Finally run the command below to start the Zero and Alpha. +``` +docker-compose up -d +``` +This would start 3 Docker containers running Dgraph Zero, Alpha and Ratel on the same machine. Docker would restart the containers in case there is any error. +You can look at the logs using `docker-compose logs`. \ No newline at end of file diff --git a/wiki/content/deploy/tls-configuration.md b/wiki/content/deploy/tls-configuration.md new file mode 100644 index 00000000000..39612e81421 --- /dev/null +++ b/wiki/content/deploy/tls-configuration.md @@ -0,0 +1,262 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "TLS Configuration" +[menu.main] + parent = "deploy" + weight = 10 ++++ + +{{% notice "note" %}} +This section refers to the `dgraph cert` command which was introduced in v1.0.9. For previous releases, see the previous [TLS configuration documentation](https://dgraph.io/docs/v1.0.7/deploy/#tls-configuration). +{{% /notice %}} + + +Connections between client and server can be secured with TLS. Password protected private keys are **not supported**. + +{{% notice "tip" %}}If you're generating encrypted private keys with `openssl`, be sure to specify encryption algorithm explicitly (like `-aes256`). This will force `openssl` to include `DEK-Info` header in private key, which is required to decrypt the key by Dgraph. When default encryption is used, `openssl` doesn't write that header and key can't be decrypted.{{% /notice %}} + +## Dgraph Certificate Management Tool + +The `dgraph cert` program creates and manages CA-signed certificates and private keys using a generated Dgraph Root CA. The `dgraph cert` command simplifies certificate management for you. + +```sh +# To see the available flags. +$ dgraph cert --help + +# Create Dgraph Root CA, used to sign all other certificates. +$ dgraph cert + +# Create node certificate and private key +$ dgraph cert -n localhost + +# Create client certificate and private key for mTLS (mutual TLS) +$ dgraph cert -c dgraphuser + +# Combine all in one command +$ dgraph cert -n localhost -c dgraphuser + +# List all your certificates and keys +$ dgraph cert ls +``` + +### File naming conventions + +To enable TLS you must specify the directory path to find certificates and keys. The default location where the _cert_ command stores certificates (and keys) is `tls` under the Dgraph working directory; where the data files are found. The default dir path can be overridden using the `--dir` option. + +```sh +$ dgraph cert --dir ~/mycerts +``` + +The following file naming conventions are used by Dgraph for proper TLS setup. + +| File name | Description | Use | +|-----------|-------------|-------| +| ca.crt | Dgraph Root CA certificate | Verify all certificates | +| ca.key | Dgraph CA private key | Validate CA certificate | +| node.crt | Dgraph node certificate | Shared by all nodes for accepting TLS connections | +| node.key | Dgraph node private key | Validate node certificate | +| client._name_.crt | Dgraph client certificate | Authenticate a client _name_ | +| client._name_.key | Dgraph client private key | Validate _name_ client certificate | + +The Root CA certificate is used for verifying node and client certificates, if changed you must regenerate all certificates. + +For client authentication, each client must have their own certificate and key. These are then used to connect to the Dgraph node(s). + +The node certificate `node.crt` can support multiple node names using multiple host names and/or IP address. Just separate the names with commas when generating the certificate. + +```sh +$ dgraph cert -n localhost,104.25.165.23,dgraph.io,2400:cb00:2048:1::6819:a417 +``` + +{{% notice "tip" %}}You must delete the old node cert and key before you can generate a new pair.{{% /notice %}} + +{{% notice "note" %}}When using host names for node certificates, including _localhost_, your clients must connect to the matching host name -- such as _localhost_ not 127.0.0.1. If you need to use IP addresses, then add them to the node certificate.{{% /notice %}} + +### Certificate inspection + +The command `dgraph cert ls` lists all certificates and keys in the `--dir` directory (default 'tls'), along with details to inspect and validate cert/key pairs. + +Example of command output: + +```sh +-rw-r--r-- ca.crt - Dgraph Root CA certificate + Issuer: Dgraph Labs, Inc. + S/N: 043c4d8fdd347f06 + Expiration: 02 Apr 29 16:56 UTC +SHA-256 Digest: 4A2B0F0F 716BF5B6 C603E01A 6229D681 0B2AFDC5 CADF5A0D 17D59299 116119E5 + +-r-------- ca.key - Dgraph Root CA key +SHA-256 Digest: 4A2B0F0F 716BF5B6 C603E01A 6229D681 0B2AFDC5 CADF5A0D 17D59299 116119E5 + +-rw-r--r-- client.admin.crt - Dgraph client certificate: admin + Issuer: Dgraph Labs, Inc. + CA Verify: PASSED + S/N: 297e4cb4f97c71f9 + Expiration: 03 Apr 24 17:29 UTC +SHA-256 Digest: D23EFB61 DE03C735 EB07B318 DB70D471 D3FE8556 B15D084C 62675857 788DF26C + +-rw------- client.admin.key - Dgraph Client key +SHA-256 Digest: D23EFB61 DE03C735 EB07B318 DB70D471 D3FE8556 B15D084C 62675857 788DF26C + +-rw-r--r-- node.crt - Dgraph Node certificate + Issuer: Dgraph Labs, Inc. + CA Verify: PASSED + S/N: 795ff0e0146fdb2d + Expiration: 03 Apr 24 17:00 UTC + Hosts: 104.25.165.23, 2400:cb00:2048:1::6819:a417, localhost, dgraph.io +SHA-256 Digest: 7E243ED5 3286AE71 B9B4E26C 5B2293DA D3E7F336 1B1AFFA7 885E8767 B1A84D28 + +-rw------- node.key - Dgraph Node key +SHA-256 Digest: 7E243ED5 3286AE71 B9B4E26C 5B2293DA D3E7F336 1B1AFFA7 885E8767 B1A84D28 +``` + +Important points: + +* The cert/key pairs should always have matching SHA-256 digests. Otherwise, the cert(s) must be + regenerated. If the Root CA pair differ, all cert/key must be regenerated; the flag `--force` + can help. +* All certificates must pass Dgraph CA verification. +* All key files should have the least access permissions, especially the `ca.key`, but be readable. +* Key files won't be overwritten if they have limited access, even with `--force`. +* Node certificates are only valid for the hosts listed. +* Client certificates are only valid for the named client/user. + +## TLS Options + +The following configuration options are available for Alpha: + +* `--tls_dir string` - TLS dir path; this enables TLS connections (usually 'tls'). +* `--tls_use_system_ca` - Include System CA with Dgraph Root CA. +* `--tls_client_auth string` - TLS client authentication used to validate client connection. See [Client Authentication Options](#client-authentication-options) for details. + +Dgraph Live Loader can be configured with the following options: + +* `--tls_cacert string` - Dgraph Root CA, such as `./tls/ca.crt` +* `--tls_use_system_ca` - Include System CA with Dgraph Root CA. +* `--tls_cert` - User cert file provided by the client to Alpha +* `--tls_key` - User private key file provided by the client to Alpha +* `--tls_server_name string` - Server name, used for validating the server's TLS host name. + + +### Using TLS without Client Authentication + +For TLS without client authentication, you can configure certificates and run Alpha server using the following: + +```sh +# First, create rootca and node certificates and private keys +$ dgraph cert -n localhost +# Default use for enabling TLS server (after generating certificates and private keys) +$ dgraph alpha --tls_dir tls +``` + +You can then run Dgraph live loader using the following: + +```sh +# Now, connect to server using TLS +$ dgraph live --tls_cacert ./tls/ca.crt --tls_server_name "localhost" -s 21million.schema -f 21million.rdf.gz +``` + +### Using TLS with Client Authentication + +If you do require Client Authentication (Mutual TLS), you can configure certificates and run Alpha server using the following: + +```sh +# First, create a rootca, node, and client certificates and private keys +$ dgraph cert -n localhost -c dgraphuser +# Default use for enabling TLS server with client authentication (after generating certificates and private keys) +$ dgraph alpha --tls_dir tls --tls_client_auth="REQUIREANDVERIFY" +``` + +You can then run Dgraph live loader using the following: + +```sh +# Now, connect to server using mTLS (mutual TLS) +$ dgraph live \ + --tls_cacert ./tls/ca.crt \ + --tls_cert ./tls/client.dgraphuser.crt \ + --tls_key ./tls/client.dgraphuser.key \ + --tls_server_name "localhost" \ + -s 21million.schema \ + -f 21million.rdf.gz +``` + +### Client Authentication Options + +The server will always **request** Client Authentication. There are four different values for the `--tls_client_auth` option that change the security policy of the client certificate. + +| Value | Client Cert/Key | Client Certificate Verified | +|--------------------|-----------------|--------------------| +| `REQUEST` | optional | Client certificate is not VERIFIED if provided. (least secure) | +| `REQUIREANY` | required | Client certificate is never VERIFIED | +| `VERIFYIFGIVEN` | optional | Client certificate is VERIFIED if provided (default) | +| `REQUIREANDVERIFY` | required | Client certificate is always VERIFIED (most secure) | + +{{% notice "note" %}}REQUIREANDVERIFY is the most secure but also the most difficult to configure for remote clients. When using this value, the value of `--tls_server_name` is matched against the certificate SANs values and the connection host.{{% /notice %}} + +## Using Ratel UI with Client authentication + +Ratel UI (and any other JavaScript clients built on top of `dgraph-js-http`) +connect to Dgraph servers via HTTP, when TLS is enabled servers begin to expect +HTTPS requests only. Therefore some adjustments need to be made. + +If the `--tls_client_auth` option is set to `REQUEST`or `VERIFYIFGIVEN` (default): + +1. Change the connection URL from `http://` to `https://` (e.g. `https://127.0.0.1:8080`). +2. Install / make trusted the certificate of the Dgraph certificate authority `ca.crt`. Refer to the documentation of your OS / browser for instructions +(e.g. on Mac OS this means adding `ca.crt` to the KeyChain and making it trusted +for `Secure Socket Layer`). + +For `REQUIREANY` and `REQUIREANDVERIFY` you need to follow the steps above and +also need to install client certificate on your OS / browser: + +1. Generate a client certificate: `dgraph cert -c MyLaptop`. +2. Convert it to a `.p12` file: +`openssl pkcs12 -export -out MyLaptopCert.p12 -in tls/client.MyLaptop.crt -inkey tls/client.MyLaptop.key`. Use any password you like for export. +3. Install the generated `MyLaptopCert.p12` file on the client system +(on Mac OS this means simply double-click the file in Finder). +4. Next time you use Ratel to connect to an alpha with Client authentication +enabled the browser will prompt you for a client certificate to use. Select the +certificate you've just installed in the step above and queries/mutations will +succeed. + +## Using Curl with Client authentication + +When TLS is enabled, `curl` requests to Dgraph will need some specific options to work. For instance (for an export request): + +``` +curl --silent --cacert ./tls/ca.crt https://localhost:8080/admin/export +``` + +If you are using `curl` with [Client Authentication](#client-authentication-options) set to `REQUIREANY` or `REQUIREANDVERIFY`, you will need to provide the client certificate and private key. For instance (for an export request): + +``` +curl --silent --cacert ./tls/ca.crt --cert ./tls/client.dgraphuser.crt --key ./tls/client.dgraphuser.key https://localhost:8080/admin/export +``` + +Refer to the `curl` documentation for further information on its TLS options. + +## Access Data Using a Client + +Some examples of connecting via a [Client](/clients) when TLS is in use can be found below: + +- [dgraph4j](https://github.com/dgraph-io/dgraph4j#creating-a-secure-client-using-tls) +- [dgraph-js](https://github.com/dgraph-io/dgraph-js/tree/master/examples/tls) +- [dgo](https://github.com/dgraph-io/dgraph/blob/master/tlstest/acl/acl_over_tls_test.go) +- [pydgraph](https://github.com/dgraph-io/pydgraph/tree/master/examples/tls) + +## Troubleshooting Ratel's Client authentication + +If you are getting errors in Ratel when server's TLS is enabled try opening +your alpha URL as a webpage. + +Assuming you are running Dgraph on your local machine, opening +`https://localhost:8080/` in browser should produce a message `Dgraph browser is available for running separately using the dgraph-ratel binary`. + +In case you are getting a connection error, try not passing the +`--tls_client_auth` flag when starting an alpha. If you are still getting an +error, check that your hostname is correct and the port is open; then make sure +that "Dgraph Root CA" certificate is installed and trusted correctly. + +After that, if things work without `--tls_client_auth` but stop working when +`REQUIREANY` and `REQUIREANDVERIFY` is set make sure the `.p12` file is +installed correctly. \ No newline at end of file diff --git a/wiki/content/deploy/tracing.md b/wiki/content/deploy/tracing.md new file mode 100644 index 00000000000..7be052538bf --- /dev/null +++ b/wiki/content/deploy/tracing.md @@ -0,0 +1,46 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Tracing" +[menu.main] + parent = "deploy" + weight = 16 ++++ + +Dgraph is integrated with [OpenCensus](https://opencensus.io/zpages/) to collect distributed traces from the Dgraph cluster. + +Trace data is always collected within Dgraph. You can adjust the trace sampling rate for Dgraph queries with the `--trace` option for Dgraph Alphas. By default, `--trace` is set to 0.01 to trace 1% of queries. + +## Examining Traces with zPages + +The most basic way to view traces is with the integrated trace pages. + +OpenCensus's [zPages](https://opencensus.io/zpages/) are accessible via the Zero or Alpha HTTP port at `/z/tracez`. + +## Examining Traces with Jaeger + +Jaeger collects distributed traces and provides a UI to view and query traces across different services. This provides the necessary observability to figure out what is happening in the system. + +Dgraph can be configured to send traces directly to a Jaeger collector with the `--jaeger.collector` flag. For example, if the Jaeger collector is running on `http://localhost:14268`, then pass the flag to the Dgraph Zero and Dgraph Alpha instances as `--jaeger.collector=http://localhost:14268`. + +See [Jaeger's Getting Started docs](https://www.jaegertracing.io/docs/getting-started/) to get up and running with Jaeger. + +### Setting up multiple Dgraph clusters with Jaeger + +Jaeger allows you to examine traces from multiple Dgraph clusters. To do this, use the `--collector.tags` on a Jaeger collector to set custom trace tags. For example, run one collector with `--collector.tags env=qa` and then another collector with `--collector.tags env=dev`. In Dgraph, set the `--jaeger.collector` flag in the Dgraph QA cluster to the first collector and the flag in the Dgraph Dev cluster to the second collector. +You can run multiple Jaeger collector components for the same single Jaeger backend (e.g., many Jaeger collectors to a single Cassandra backend). This is still a single Jaeger installation but with different collectors customizing the tags per environment. + +Once you have this configured, you can filter by tags in the Jaeger UI. Filter traces by tags matching `env=dev`: + +{{% load-img "/images/jaeger-ui.png" "Jaeger UI" %}} + +Every trace has your custom tags set under the “Process” section of each span: + +{{% load-img "/images/jaeger-server-query.png" "Jaeger Query" %}} + +Filter traces by tags matching `env=qa`: + +{{% load-img "/images/jaeger-json.png" "Jaeger JSON" %}} + +{{% load-img "/images/jaeger-server-query-2.png" "Jaeger Query Result" %}} + +For more information, check out [Jaeger's Deployment Guide](https://www.jaegertracing.io/docs/deployment/). \ No newline at end of file diff --git a/wiki/content/deploy/troubleshooting.md b/wiki/content/deploy/troubleshooting.md new file mode 100644 index 00000000000..28440375407 --- /dev/null +++ b/wiki/content/deploy/troubleshooting.md @@ -0,0 +1,27 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Troubleshooting" +[menu.main] + parent = "deploy" + weight = 19 ++++ + +Here are some problems that you may encounter and some solutions to try. + +### Running OOM (out of memory) + +During bulk loading of data, Dgraph can consume more memory than usual, due to high volume of writes. That's generally when you see the OOM crashes. + +The recommended minimum RAM to run on desktops and laptops is 16GB. Dgraph can take up to 7-8 GB with the default setting `--lru_mb` set to 4096; so having the rest 8GB for desktop applications should keep your machine humming along. + +On EC2/GCE instances, the recommended minimum is 8GB. It's recommended to set `--lru_mb` to one-third of RAM size. + +You could also decrease memory usage of Dgraph by setting `--badger.vlog=disk`. + +### Too many open files + +If you see an log error messages saying `too many open files`, you should increase the per-process file descriptors limit. + +During normal operations, Dgraph must be able to open many files. Your operating system may set by default a open file descriptor limit lower than what's needed for a database such as Dgraph. + +On Linux and Mac, you can check the file descriptor limit with `ulimit -n -H` for the hard limit and `ulimit -n -S` for the soft limit. The soft limit should be set high enough for Dgraph to run properly. A soft limit of 65535 is a good lower bound for a production setup. You can adjust the limit as needed. \ No newline at end of file diff --git a/wiki/content/design-concepts/_index.md b/wiki/content/design-concepts/_index.md index e69de29bb2d..d6a83fa2405 100644 --- a/wiki/content/design-concepts/_index.md +++ b/wiki/content/design-concepts/_index.md @@ -0,0 +1,8 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Design Concepts" +[menu.main] + url = "/design-concepts/" + identifier = "design-concepts" + weight = 12 ++++ \ No newline at end of file diff --git a/wiki/content/design-concepts/concepts.md b/wiki/content/design-concepts/concepts.md new file mode 100644 index 00000000000..e287f62d91d --- /dev/null +++ b/wiki/content/design-concepts/concepts.md @@ -0,0 +1,259 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Concepts" +[menu.main] + parent = "design-concepts" + weight = 3 ++++ + +## Edges + +Typical data format is RDF [N-Quad](https://www.w3.org/TR/n-quads/) which is: + +* `Subject, Predicate, Object, Label`, aka +* `Entity, Attribute, Other Entity / Value, Label` + +Both the terminologies get used interchangeably in our code. Dgraph considers edges to be directional, +i.e. from `Subject -> Object`. This is the direction that the queries would be run. + +{{% notice "tip" %}}Dgraph can automatically generate a reverse edge. If the user wants to run +queries in that direction, they would need to define the [reverse edge](/query-language#reverse-edges) +as part of the schema.{{% /notice %}} + +Internally, the RDF N-Quad gets parsed into this format. + +``` +type DirectedEdge struct { + Entity uint64 + Attr string + Value []byte + ValueType Posting_ValType + ValueId uint64 + Label string + Lang string + Op DirectedEdge_Op // Set or Delete + Facets []*api.Facet +} +``` + +Note that irrespective of the input, both `Entity` and `Object/ValueId` get converted in `UID` format. + +## Posting List +Conceptually, a posting list contains all the `DirectedEdges` corresponding to an `Attribute`, in the +following format: + +``` +Attribute: Entity -> sorted list of ValueId // Everything in uint64 representation. +``` + +So, for, e.g., if we're storing a list of friends, such as: + +Entity | Attribute| ValueId +-------|----------|-------- +Me | friend | person0 +Me | friend | person1 +Me | friend | person2 +Me | friend | person3 + + +Then a posting list `friend` would be generated. Seeking for `Me` in this PL +would produce a list of friends, namely `[person0, person1, person2, person3]`. + +The big advantage of having such a structure is that we have all the data to do one join in one +Posting List. This means, one RPC to +the machine serving that Posting List would result in a join, without any further +network calls, reducing joins to lookups. + +Implementation wise, a `Posting List` is a list of `Postings`. This is how they look in +[Protocol Buffers]({{< relref "#protocol-buffers" >}}) format. +``` +message Posting { + fixed64 uid = 1; + bytes value = 2; + enum ValType { + DEFAULT = 0; + BINARY = 1; + INT = 2; // We treat it as int64. + FLOAT = 3; + BOOL = 4; + DATETIME = 5; + GEO = 6; + UID = 7; + PASSWORD = 8; + STRING = 9; + OBJECT = 10; + } + ValType val_type = 3; + enum PostingType { + REF=0; // UID + VALUE=1; // simple, plain value + VALUE_LANG=2; // value with specified language + } + PostingType posting_type = 4; + bytes lang_tag = 5; // Only set for VALUE_LANG + string label = 6; + repeated api.Facet facets = 9; + + // TODO: op is only used temporarily. See if we can remove it from here. + uint32 op = 12; + uint64 start_ts = 13; // Meant to use only inmemory + uint64 commit_ts = 14; // Meant to use only inmemory +} + +message PostingList { + repeated Posting postings = 1; + bytes checksum = 2; + uint64 commit = 3; // More inclination towards smaller values. +} +``` + +There is typically more than one Posting in a PostingList. + +The RDF Label is stored as `label` in each posting. +{{% notice "warning" %}}We don't currently retrieve label via query -- but would use it in the future.{{% /notice %}} + +## Badger +PostingLists are served via [Badger](https://github.com/dgraph-io/badger), given the latter provides enough +knobs to decide how much data should be served out of memory, SSD or disk. +Also, it supports bloom filters on keys, which makes random lookups efficient. + +To allow Badger full access to memory to optimize for caches, we'll have +one Badger instance per machine. Each instance would contain all the +posting lists served by the machine. + +Posting Lists get stored in Badger, in a key-value format, like so: +``` +(Predicate, Subject) --> PostingList +``` + +## Group + +Every Alpha server belongs to a particular group, and each group is responsible for serving a +particular set of predicates. Multiple servers in a single group replicate the same data to achieve +high availability and redundancy of data. + +Predicates are automatically assigned to each group based on which group first receives the +predicate. By default periodically predicates can be moved around to different groups upon +heuristics to evenly distribute the data across the cluster. Predicates can also be moved manually +if desired. + +In a future version, if a group gets too big, it could be split further. In this case, a single +`Predicate` essentially gets divided across two groups. + +``` + Original Group: + (Predicate, Sa..z) + After split: + Group 1: (Predicate, Sa..i) + Group 2: (Predicate, Sj..z) +``` + +Note that keys are sorted in BadgerDB. So, the group split would be done in a way to maintain that +sorting order, i.e. it would be split in a way where the lexicographically earlier subjects would be +in one group, and the later in the second. + +## Replication and Server Failure +Each group should typically be served by at least 3 servers, if available. In the case of a machine +failure, other servers serving the same group can still handle the load in that case. + +## New Server and Discovery +Dgraph cluster can detect new machines allocated to the [cluster](/deploy#cluster), +establish connections, and transfer a subset of existing predicates to it based on the groups served +by the new machine. + +## Write Ahead Logs +Every mutation upon hitting the database doesn't immediately make it on disk via BadgerDB. We avoid +re-generating the posting list too often, because all the postings need to be kept sorted, and it's +expensive. Instead, every mutation gets logged and synced to disk via append only log files called +`write-ahead logs`. So, any acknowledged writes would always be on disk. This allows us to recover +from a system crash, by replaying all the mutations since the last write to `Posting List`. + +## Mutations + +{{% notice "outdated" %}} +This section needs to be improved. +{{% /notice %}} + +In addition to being written to `Write Ahead Logs`, a mutation also gets stored in memory as an +overlay over immutable `Posting list` in a mutation layer. This mutation layer allows us to iterate +over `Posting`s as though they're sorted, without requiring re-creating the posting list. + +When a posting list has mutations in memory, it's considered a `dirty` posting list. Periodically, +we re-generate the immutable version, and write to BadgerDB. Note that the writes to BadgerDB are +asynchronous, which means they don't get flushed out to disk immediately, but that wouldn't lead +to data loss on a machine crash. When `Posting lists` are initialized, write-ahead logs get referred, +and any missing writes get applied. + +Every time we regenerate a posting list, we also write the max commit log timestamp that was +included -- this helps us figure out how long back to seek in write-ahead logs when initializing +the posting list, the first time it's brought back into memory. + +## Queries + +Let's understand how query execution works, by looking at an example. + +``` +{ + me(func: uid(0x1)) { + pred_A + pred_B { + pred_B1 + pred_B2 + } + pred_C { + pred_C1 + pred_C2 { + pred_C21 + } + } + } +} + +``` + +Let's assume we have 3 Alpha instances, and instance id=2 receives this query. These are the steps: + +* Send queries to look up keys = `pred_A, 0x1`, `pred_B, 0x1`, and `pred_C, 0x1`. These predicates could +belong to 3 different groups, served by potentially different Alpha servers. So, this would typically +incur at max 3 network calls (equal to number of predicates at this step). +* The above queries would return back 3 lists of UIDs or values. The result of `pred_B` and `pred_C` +would be converted into queries for `pred_Bi` and `pred_Ci`. +* `pred_Bi` and `pred_Ci` would then cause at max 4 network calls, depending upon where these +predicates are located. The keys for `pred_Bi`, for example, would be `pred_Bi, res_pred_Bk`, where +res_pred_Bk = list of resulting UIDs from `pred_B, u`. +* Looking at `res_pred_C2`, you'll notice that this would be a list of lists aka list matrix. We +merge these list of lists into a sorted list with distinct elements to form the query for `pred_C21`. +* Another network call depending upon where `pred_C21` lies, and this would again give us a list of +list UIDs / value. + +If the query was run via HTTP interface `/query`, this subgraph gets converted into JSON for +replying back to the client. If the query was run via [gRPC](https://www.grpc.io/) interface using +the language [clients]({{< relref "clients/_index.md" >}}), the subgraph gets converted to +[protocol buffer](https://developers.google.com/protocol-buffers/) format and then returned to client. + +## Network Calls +Compared to RAM or SSD access, network calls are slow. +Dgraph minimizes the number of network calls required to execute queries. As explained above, the +data sharding is done based on `predicate`, not `entity`. Thus, even if we have a large set of +intermediate results, they'd still only increase the payload of a network call, not the number of +network calls itself. In general, the number of network calls done in Dgraph is directly proportional +to the number of predicates in the query, or the complexity of the query, not the number of +intermediate or final results. + +In the above example, we have eight predicates, and so including a call to convert to UID, we'll +have at max nine network calls. The total number of entity results could be in millions. + +## Worker +In Queries section, you noticed how the calls were made to query for `(predicate, uids)`. All those +network calls / local processing are done via workers. Each server exposes a +[gRPC](https://www.grpc.io) interface, which can then be called by the query processor to retrieve data. + +## Worker Pool +Worker Pool is just a pool of open TCP connections which can be reused by multiple goroutines. +This avoids having to recreate a new connection every time a network call needs to be made. + +## Protocol Buffers +All data in Dgraph that is stored or transmitted is first converted into byte arrays through +serialization using [Protocol Buffers](https://developers.google.com/protocol-buffers/). When +the result is to be returned to the user, the protocol buffer object is traversed, and the JSON +object is formed. \ No newline at end of file diff --git a/wiki/content/design-concepts/consistency-model.md b/wiki/content/design-concepts/consistency-model.md new file mode 100644 index 00000000000..ab8bf79ae7f --- /dev/null +++ b/wiki/content/design-concepts/consistency-model.md @@ -0,0 +1,62 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Consistency Model" +[menu.main] + parent = "design-concepts" + weight = 2 ++++ + +[Update on Jan 15, 2020] + +- Dgraph supports MVCC, Read Snapshots and Distributed ACID transactions. +- The transactions are cluster-wide (not key-only, or any other "crippled" version of them). +- Transactions are lockless. They don't block/wait on seeing pending writes by uncommitted transactions. Zero would choose to commit or abort them depending on conflicts. +- Transactions are based on Snapshot Isolation (not Serializable Snapshot Isolation), because conflicts are determined by writes (not reads). +- Dgraph hands out monotonically increasing timestamps (for transactions). Ergo, if any transaction Tx1 commits before Tx2 starts, then Ts_commit(Tx1) < Ts_start(Tx2). +- Any commit at Tc are guaranteed to be seen by a read at timestamp Tr by any client, if Tr > Tc. +- All reads are snapshots across the entire cluster, seeing all previously committed transactions in full. + +--- + +{{% notice "outdated" %}}Sections below this one are outdated. You will find [Tour of Dgraph](https://dgraph.io/tour/) a much helpful resource.{{% /notice %}} + +[Last updated: Mar 2018. This is outdated and is not how we do things anymore] +Basing it [on this +article](https://aphyr.com/posts/313-strong-consistency-models) by aphyr. + +- **Sequential Consistency:** Different users would see updates at different times, but each user would see operations in order. + +Dgraph has a client-side sequencing mode, which provides sequential consistency. + +Here, let’s replace a “user” with a “client” (or a single process). In Dgraph, each client maintains a linearizable read map (linread map). Dgraph's data set is sharded into many "groups". Each group is a Raft group, where every write is done via a "proposal." You can think of a transaction in Dgraph, to consist of many group proposals. + +The leader in Raft group always has the most recent proposal, while +replicas could be behind the leader in varying degrees. You can determine this +by just looking at the latest applied proposal ID. A leader's proposal ID would +be greater than or equal to some replicas' applied proposal ID. + +`linread` map stores a group -> max proposal ID seen, per client. If a client's +last read had seen updates corresponding to proposal ID X, then `linread` map +would store X for that group. The client would then use the `linread` map to +inform future reads to ensure that the server servicing the request, has +proposals >= X applied before servicing the read. Thus, all future reads, +irrespective of which replica it might hit, would see updates for proposals >= +X. Also, the `linread` map is updated continuously with max seen proposal IDs +across all groups as reads and writes are done across transactions (within that +client). + +In short, this map ensures that updates made by the client, or seen by the +client, would never be *unseen*; in fact, they would be visible in a sequential +order. There might be jumps though, for e.g., if a value X → Y → Z, the client +might see X, then Z (and not see Y at all). + +- **Linearizability:** Each op takes effect atomically at some point between invocation and completion. Once op is complete, it would be visible to all. + +Dgraph supports server-side sequencing of updates, which provides +linearizability. Unlike sequential consistency which provides sequencing per +client, this provide sequencing across all clients. This is necessary to make +transactions work across clients. Thus, once a transaction is committed, +it would be visible to all future readers, irrespective of client boundaries. + +- **Causal consistency:** Dgraph does not have a concept of dependencies among transactions. So, does NOT order based on dependencies. +- **Serializable consistency:** Dgraph does NOT allow arbitrary reordering of transactions, but does provide a linear order per key. diff --git a/wiki/content/design-concepts/index.md b/wiki/content/design-concepts/index.md deleted file mode 100644 index e52b526d17f..00000000000 --- a/wiki/content/design-concepts/index.md +++ /dev/null @@ -1,544 +0,0 @@ -+++ -date = "2017-03-20T22:25:17+11:00" -title = "Design Concepts" -+++ - -## Transactions: FAQ - -Dgraph supports distributed ACID transactions through snapshot isolation. - -### Can we do pre-writes only on leaders? - -Seems like a good idea, but has bad implications. If we only do a prewrite -in-memory, only on leader, then this prewrite wouldn't make it to the Raft log, -or disk; but would be considered successful. - -Then zero could mark the transaction as committed; but this leader could go -down, or leadership could change. In such a case, we'd end up losing the -transaction altogether despite it having been considered committed. - -Therefore, pre-writes do have to make it to disk. And if so, better to propose -them in a Raft group. - -## Consistency Model - -[Update on Jan 15, 2020] - -- Dgraph supports MVCC, Read Snapshots and Distributed ACID transactions. -- The transactions are cluster-wide (not key-only, or any other "crippled" version of them). -- Transactions are lockless. They don't block/wait on seeing pending writes by uncommitted transactions. Zero would choose to commit or abort them depending on conflicts. -- Transactions are based on Snapshot Isolation (not Serializable Snapshot Isolation), because conflicts are determined by writes (not reads). -- Dgraph hands out monotonically increasing timestamps (for transactions). Ergo, if any transaction Tx1 commits before Tx2 starts, then Ts_commit(Tx1) < Ts_start(Tx2). -- Any commit at Tc are guaranteed to be seen by a read at timestamp Tr by any client, if Tr > Tc. -- All reads are snapshots across the entire cluster, seeing all previously committed transactions in full. - ---- - -{{% notice "outdated" %}}Sections below this one are outdated. You will find [Tour of Dgraph](https://dgraph.io/tour/) a much helpful resource.{{% /notice %}} - -## Consistency Models -[Last updated: Mar 2018. This is outdated and is not how we do things anymore] -Basing it [on this -article](https://aphyr.com/posts/313-strong-consistency-models) by aphyr. - -- **Sequential Consistency:** Different users would see updates at different times, but each user would see operations in order. - -Dgraph has a client-side sequencing mode, which provides sequential consistency. - -Here, let’s replace a “user” with a “client” (or a single process). In Dgraph, each client maintains a linearizable read map (linread map). Dgraph's data set is sharded into many "groups". Each group is a Raft group, where every write is done via a "proposal." You can think of a transaction in Dgraph, to consist of many group proposals. - -The leader in Raft group always has the most recent proposal, while -replicas could be behind the leader in varying degrees. You can determine this -by just looking at the latest applied proposal ID. A leader's proposal ID would -be greater than or equal to some replicas' applied proposal ID. - -`linread` map stores a group -> max proposal ID seen, per client. If a client's -last read had seen updates corresponding to proposal ID X, then `linread` map -would store X for that group. The client would then use the `linread` map to -inform future reads to ensure that the server servicing the request, has -proposals >= X applied before servicing the read. Thus, all future reads, -irrespective of which replica it might hit, would see updates for proposals >= -X. Also, the `linread` map is updated continuously with max seen proposal IDs -across all groups as reads and writes are done across transactions (within that -client). - -In short, this map ensures that updates made by the client, or seen by the -client, would never be *unseen*; in fact, they would be visible in a sequential -order. There might be jumps though, for e.g., if a value X → Y → Z, the client -might see X, then Z (and not see Y at all). - -- **Linearizability:** Each op takes effect atomically at some point between invocation and completion. Once op is complete, it would be visible to all. - -Dgraph supports server-side sequencing of updates, which provides -linearizability. Unlike sequential consistency which provides sequencing per -client, this provide sequencing across all clients. This is necessary to make -transactions work across clients. Thus, once a transaction is committed, -it would be visible to all future readers, irrespective of client boundaries. - -- **Causal consistency:** Dgraph does not have a concept of dependencies among transactions. So, does NOT order based on dependencies. -- **Serializable consistency:** Dgraph does NOT allow arbitrary reordering of transactions, but does provide a linear order per key. - -## Concepts - -### Edges - -Typical data format is RDF [N-Quad](https://www.w3.org/TR/n-quads/) which is: - -* `Subject, Predicate, Object, Label`, aka -* `Entity, Attribute, Other Entity / Value, Label` - -Both the terminologies get used interchangeably in our code. Dgraph considers edges to be directional, -i.e. from `Subject -> Object`. This is the direction that the queries would be run. - -{{% notice "tip" %}}Dgraph can automatically generate a reverse edge. If the user wants to run -queries in that direction, they would need to define the [reverse edge](/query-language#reverse-edges) -as part of the schema.{{% /notice %}} - -Internally, the RDF N-Quad gets parsed into this format. - -``` -type DirectedEdge struct { - Entity uint64 - Attr string - Value []byte - ValueType Posting_ValType - ValueId uint64 - Label string - Lang string - Op DirectedEdge_Op // Set or Delete - Facets []*api.Facet -} -``` - -Note that irrespective of the input, both `Entity` and `Object/ValueId` get converted in `UID` format. - -### Posting List -Conceptually, a posting list contains all the `DirectedEdges` corresponding to an `Attribute`, in the -following format: - -``` -Attribute: Entity -> sorted list of ValueId // Everything in uint64 representation. -``` - -So, for, e.g., if we're storing a list of friends, such as: - -Entity | Attribute| ValueId --------|----------|-------- -Me | friend | person0 -Me | friend | person1 -Me | friend | person2 -Me | friend | person3 - - -Then a posting list `friend` would be generated. Seeking for `Me` in this PL -would produce a list of friends, namely `[person0, person1, person2, person3]`. - -The big advantage of having such a structure is that we have all the data to do one join in one -Posting List. This means, one RPC to -the machine serving that Posting List would result in a join, without any further -network calls, reducing joins to lookups. - -Implementation wise, a `Posting List` is a list of `Postings`. This is how they look in -[Protocol Buffers]({{< relref "#protocol-buffers" >}}) format. -``` -message Posting { - fixed64 uid = 1; - bytes value = 2; - enum ValType { - DEFAULT = 0; - BINARY = 1; - INT = 2; // We treat it as int64. - FLOAT = 3; - BOOL = 4; - DATETIME = 5; - GEO = 6; - UID = 7; - PASSWORD = 8; - STRING = 9; - OBJECT = 10; - } - ValType val_type = 3; - enum PostingType { - REF=0; // UID - VALUE=1; // simple, plain value - VALUE_LANG=2; // value with specified language - } - PostingType posting_type = 4; - bytes lang_tag = 5; // Only set for VALUE_LANG - string label = 6; - repeated api.Facet facets = 9; - - // TODO: op is only used temporarily. See if we can remove it from here. - uint32 op = 12; - uint64 start_ts = 13; // Meant to use only inmemory - uint64 commit_ts = 14; // Meant to use only inmemory -} - -message PostingList { - repeated Posting postings = 1; - bytes checksum = 2; - uint64 commit = 3; // More inclination towards smaller values. -} -``` - -There is typically more than one Posting in a PostingList. - -The RDF Label is stored as `label` in each posting. -{{% notice "warning" %}}We don't currently retrieve label via query -- but would use it in the future.{{% /notice %}} - -### Badger -PostingLists are served via [Badger](https://github.com/dgraph-io/badger), given the latter provides enough -knobs to decide how much data should be served out of memory, SSD or disk. -Also, it supports bloom filters on keys, which makes random lookups efficient. - -To allow Badger full access to memory to optimize for caches, we'll have -one Badger instance per machine. Each instance would contain all the -posting lists served by the machine. - -Posting Lists get stored in Badger, in a key-value format, like so: -``` -(Predicate, Subject) --> PostingList -``` - -### Group - -Every Alpha server belongs to a particular group, and each group is responsible for serving a -particular set of predicates. Multiple servers in a single group replicate the same data to achieve -high availability and redundancy of data. - -Predicates are automatically assigned to each group based on which group first receives the -predicate. By default periodically predicates can be moved around to different groups upon -heuristics to evenly distribute the data across the cluster. Predicates can also be moved manually -if desired. - -In a future version, if a group gets too big, it could be split further. In this case, a single -`Predicate` essentially gets divided across two groups. - -``` - Original Group: - (Predicate, Sa..z) - After split: - Group 1: (Predicate, Sa..i) - Group 2: (Predicate, Sj..z) -``` - -Note that keys are sorted in BadgerDB. So, the group split would be done in a way to maintain that -sorting order, i.e. it would be split in a way where the lexicographically earlier subjects would be -in one group, and the later in the second. - -### Replication and Server Failure -Each group should typically be served by at least 3 servers, if available. In the case of a machine -failure, other servers serving the same group can still handle the load in that case. - -### New Server and Discovery -Dgraph cluster can detect new machines allocated to the [cluster](/deploy#cluster), -establish connections, and transfer a subset of existing predicates to it based on the groups served -by the new machine. - -### Write Ahead Logs -Every mutation upon hitting the database doesn't immediately make it on disk via BadgerDB. We avoid -re-generating the posting list too often, because all the postings need to be kept sorted, and it's -expensive. Instead, every mutation gets logged and synced to disk via append only log files called -`write-ahead logs`. So, any acknowledged writes would always be on disk. This allows us to recover -from a system crash, by replaying all the mutations since the last write to `Posting List`. - -### Mutations - -{{% notice "outdated" %}} -This section needs to be improved. -{{% /notice %}} - -In addition to being written to `Write Ahead Logs`, a mutation also gets stored in memory as an -overlay over immutable `Posting list` in a mutation layer. This mutation layer allows us to iterate -over `Posting`s as though they're sorted, without requiring re-creating the posting list. - -When a posting list has mutations in memory, it's considered a `dirty` posting list. Periodically, -we re-generate the immutable version, and write to BadgerDB. Note that the writes to BadgerDB are -asynchronous, which means they don't get flushed out to disk immediately, but that wouldn't lead -to data loss on a machine crash. When `Posting lists` are initialized, write-ahead logs get referred, -and any missing writes get applied. - -Every time we regenerate a posting list, we also write the max commit log timestamp that was -included -- this helps us figure out how long back to seek in write-ahead logs when initializing -the posting list, the first time it's brought back into memory. - -### Queries - -Let's understand how query execution works, by looking at an example. - -``` -{ - me(func: uid(0x1)) { - pred_A - pred_B { - pred_B1 - pred_B2 - } - pred_C { - pred_C1 - pred_C2 { - pred_C21 - } - } - } -} - -``` - -Let's assume we have 3 Alpha instances, and instance id=2 receives this query. These are the steps: - -* Send queries to look up keys = `pred_A, 0x1`, `pred_B, 0x1`, and `pred_C, 0x1`. These predicates could -belong to 3 different groups, served by potentially different Alpha servers. So, this would typically -incur at max 3 network calls (equal to number of predicates at this step). -* The above queries would return back 3 lists of UIDs or values. The result of `pred_B` and `pred_C` -would be converted into queries for `pred_Bi` and `pred_Ci`. -* `pred_Bi` and `pred_Ci` would then cause at max 4 network calls, depending upon where these -predicates are located. The keys for `pred_Bi`, for example, would be `pred_Bi, res_pred_Bk`, where -res_pred_Bk = list of resulting UIDs from `pred_B, u`. -* Looking at `res_pred_C2`, you'll notice that this would be a list of lists aka list matrix. We -merge these list of lists into a sorted list with distinct elements to form the query for `pred_C21`. -* Another network call depending upon where `pred_C21` lies, and this would again give us a list of -list UIDs / value. - -If the query was run via HTTP interface `/query`, this subgraph gets converted into JSON for -replying back to the client. If the query was run via [gRPC](https://www.grpc.io/) interface using -the language [clients]({{< relref "clients/index.md" >}}), the subgraph gets converted to -[protocol buffer](https://developers.google.com/protocol-buffers/) format and then returned to client. - -### Network Calls -Compared to RAM or SSD access, network calls are slow. -Dgraph minimizes the number of network calls required to execute queries. As explained above, the -data sharding is done based on `predicate`, not `entity`. Thus, even if we have a large set of -intermediate results, they'd still only increase the payload of a network call, not the number of -network calls itself. In general, the number of network calls done in Dgraph is directly proportional -to the number of predicates in the query, or the complexity of the query, not the number of -intermediate or final results. - -In the above example, we have eight predicates, and so including a call to convert to UID, we'll -have at max nine network calls. The total number of entity results could be in millions. - -### Worker -In Queries section, you noticed how the calls were made to query for `(predicate, uids)`. All those -network calls / local processing are done via workers. Each server exposes a -[gRPC](https://www.grpc.io) interface, which can then be called by the query processor to retrieve data. - -### Worker Pool -Worker Pool is just a pool of open TCP connections which can be reused by multiple goroutines. -This avoids having to recreate a new connection every time a network call needs to be made. - -### Protocol Buffers -All data in Dgraph that is stored or transmitted is first converted into byte arrays through -serialization using [Protocol Buffers](https://developers.google.com/protocol-buffers/). When -the result is to be returned to the user, the protocol buffer object is traversed, and the JSON -object is formed. - -## Minimizing network calls explained - -To explain how Dgraph minimizes network calls, let's start with an example query we should be able -to run. - -*Find all posts liked by friends of friends of mine over the last year, written by a popular author X.* - -### SQL/NoSQL -In a distributed SQL/NoSQL database, this would require you to retrieve a lot of data. - -Method 1: - -* Find all the friends (~ 338 [friends](http://www.pewresearch.org/fact-tank/2014/02/03/6-new-facts-about-facebook/)). -* Find all their friends (~ 338 * 338 = 40,000 people). -* Find all the posts liked by these people over the last year (resulting set in millions). -* Intersect these posts with posts authored by person X. - -Method 2: - -* Find all posts written by popular author X over the last year (possibly thousands). -* Find all people who liked those posts (easily millions) `result set 1`. -* Find all your friends. -* Find all their friends `result set 2`. -* Intersect `result set 1` with `result set 2`. - -Both of these approaches would result in a lot of data going back and forth between database and -application; would be slow to execute, or would require you to run an offline job. - -### Dgraph -This is how it would run in Dgraph: - -* Node X contains posting list for predicate `friends`. -* Seek to caller's userid in Node X **(1 RPC)**. Retrieve a list of friend uids. -* Do multiple seeks for each of the friend uids, to generate a list of friends of friends uids. `result set 1` -* Node Y contains posting list for predicate `posts_liked`. -* Ship result set 1 to Node Y **(1 RPC)**, and do seeks to generate a list of all posts liked by -result set 1. `result set 2` -* Node Z contains posting list for predicate `author`. -* Ship result set 2 to Node Z **(1 RPC)**. Seek to author X, and generate a list of posts authored -by X. `result set 3` -* Intersect the two sorted lists, `result set 2` and `result set 3`. `result set 4` -* Node N contains names for all uids. -* Ship `result set 4` to Node N **(1 RPC)**, and convert uids to names by doing multiple seeks. `result set 5` -* Ship `result set 5` back to caller. - -In 4-5 RPCs, we have figured out all the posts liked by friends of friends, written by popular author X. - -This design allows vast scalability, and yet consistent production level latencies, -to support running complicated queries requiring deep joins. - -## RAFT - -This section aims to explain the RAFT consensus algorithm in simple terms. The idea is to give you -just enough to make you understand the basic concepts, without going into explanations about why it -works accurately. For a detailed explanation of RAFT, please read the original thesis paper by -[Diego Ongaro](https://github.com/ongardie/dissertation). - -### Term -Each election cycle is considered a **term**, during which there is a single leader -*(just like in a democracy)*. When a new election starts, the term number is increased. This is -straightforward and obvious but is a critical factor for the accuracy of the algorithm. - -In rare cases, if no leader could be elected within an `ElectionTimeout`, that term can end without -a leader. - -### Server States -Each server in cluster can be in one of the following three states: - -* Leader -* Follower -* Candidate - -Generally, the servers are in leader or follower state. When the leader crashes or the communication -breaks down, the followers will wait for election timeout before converting to candidates. The -election timeout is randomized. This would allow one of them to declare candidacy before others. -The candidate would vote for itself and wait for the majority of the cluster to vote for it as well. -If a follower hears from a candidate with a higher term than the current (*dead in this case*) leader, -it would vote for it. The candidate who gets majority votes wins the election and becomes the leader. - -The leader then tells the rest of the cluster about the result (Heartbeat -[Communication]({{< relref "#communication" >}})) and the other candidates then become followers. -Again, the cluster goes back into leader-follower model. - -A leader could revert to being a follower without an election, if it finds another leader in the -cluster with a higher [Term]({{< relref "#term" >}})). This might happen in rare cases (network partitions). - -### Communication -There is unidirectional RPC communication, from leader to followers. The followers never ping the -leader. The leader sends `AppendEntries` messages to the followers with logs containing state -updates. When the leader sends `AppendEntries` with zero logs, that's considered a -Heartbeat. Leader sends all followers Heartbeats at regular intervals. - -If a follower doesn't receive Heartbeat for `ElectionTimeout` duration (generally between -150ms to 300ms), it converts it's state to candidate (as mentioned in [Server States]({{< relref "#server-states" >}})). -It then requests for votes by sending a `RequestVote` call to other servers. Again, if it gets -majority votes, candidate becomes a leader. At becoming leader, it then sends Heartbeats -to all other servers to establish its authority *(Cartman style, "Respect my authoritah!")*. - -Every communication request contains a term number. If a server receives a request with a stale term -number, it rejects the request. - -Raft believes in retrying RPCs indefinitely. - -### Log Entries -Log Entries are numbered sequentially and contain a term number. Entry is considered **committed** if -it has been replicated to a majority of the servers. - -On receiving a client request, the leader does four things (aka Log Replication): - -* Appends and persists to its log. -* Issue `AppendEntries` in parallel to other servers. -* On majority replication, consider the entry committed and apply to its state machine. -* Notify followers that entry is committed so that they can apply it to their state machines. - -A leader never overwrites or deletes its entries. There is a guarantee that if an entry is committed, -all future leaders will have it. A leader can, however, force overwrite the followers' logs, so they -match leader's logs *(elected democratically, but got a dictator)*. - -### Voting -Each server persists its current term and vote, so it doesn't end up voting twice in the same term. -On receiving a `RequestVote` RPC, the server denies its vote if its log is more up-to-date than the -candidate. It would also deny a vote, if a minimum `ElectionTimeout` hasn't passed since the last -Heartbeat from the leader. Otherwise, it gives a vote and resets its `ElectionTimeout` timer. - -Up-to-date property of logs is determined as follows: - -* Term number comparison -* Index number or log length comparison - -{{% notice "tip" %}}To understand the above sections better, you can see this -[interactive visualization](http://thesecretlivesofdata.com/raft).{{% /notice %}} - -### Cluster membership -Raft only allows single-server changes, i.e. only one server can be added or deleted at a time. -This is achieved by cluster configuration changes. Cluster configurations are communicated using -special entries in `AppendEntries`. - -The significant difference in how cluster configuration changes are applied compared to how typical -[Log Entries]({{< relref "#log-entries" >}}) are applied is that the followers don't wait for a -commitment confirmation from the leader before enabling it. - -A server can respond to both `AppendEntries` and `RequestVote`, without checking current -configuration. This mechanism allows new servers to participate without officially being part of -the cluster. Without this feature, things won't work. - -When a new server joins, it won't have any logs, and they need to be streamed. To ensure cluster -availability, Raft allows this server to join the cluster as a non-voting member. Once it's caught -up, voting can be enabled. This also allows the cluster to remove this server in case it's too slow -to catch up, before giving voting rights *(sort of like getting a green card to allow assimilation -before citizenship is awarded providing voting rights)*. - - -{{% notice "tip" %}}If you want to add a few servers and remove a few servers, do the addition -before the removal. To bootstrap a cluster, start with one server to allow it to become the leader, -and then add servers to the cluster one-by-one.{{% /notice %}} - -### Log Compaction -One of the ways to do this is snapshotting. As soon as the state machine is synced to disk, the -logs can be discarded. - -Snapshots are taken by default after 10000 Raft entries. This number can be adjusted using the -`dgraph alpha --snapshot_after` flag. - -### Clients -Clients must locate the cluster to interact with it. Various approaches can be used for discovery. - -A client can randomly pick up any server in the cluster. If the server isn't a leader, the request -should be rejected, and the leader information passed along. The client can then re-route it's query -to the leader. Alternatively, the server can proxy the client's request to the leader. - -When a client first starts up, it can register itself with the cluster using `RegisterClient` RPC. -This creates a new client id, which is used for all subsequent RPCs. - -### Linearizable Semantics - -Servers must filter out duplicate requests. They can do this via session tracking where they use -the client id and another request UID set by the client to avoid reprocessing duplicate requests. -RAFT also suggests storing responses along with the request UIDs to reply back in case it receives -a duplicate request. - -Linearizability requires the results of a read to reflect the latest committed write. -Serializability, on the other hand, allows stale reads. - -### Read-only queries - -To ensure linearizability of read-only queries run via leader, leader must take these steps: - -* Leader must have at least one committed entry in its term. This would allow for up-to-dated-ness. -*(C'mon! Now that you're in power do something at least!)* -* Leader stores it's latest commit index. -* Leader sends Heartbeats to the cluster and waits for ACK from majority. Now it knows -that it's the leader. *(No successful coup. Yup, still the democratically elected dictator I was before!)* -* Leader waits for its state machine to advance to readIndex. -* Leader can now run the queries against state machine and reply to clients. - -Read-only queries can also be serviced by followers to reduce the load on the leader. But this -could lead to stale results unless the follower confirms that its leader is the real leader(network partition). -To do so, it would have to send a query to the leader, and the leader would have to do steps 1-3. -Then the follower can do 4-5. - -Read-only queries would have to be batched up, and then RPCs would have to go to the leader for each -batch, who in turn would have to send further RPCs to the whole cluster. *(This is not scalable -without considerable optimizations to deal with latency.)* - -**An alternative approach** would be to have the servers return the index corresponding to their -state machine. The client can then keep track of the maximum index it has received from replies so far. -And pass it along to the server for the next request. If a server's state machine hasn't reached the -index provided by the client, it will not service the request. This approach avoids inter-server -communication and is a lot more scalable. *(This approach does not guarantee linearizability, but -should converge quickly to the latest write.)* diff --git a/wiki/content/design-concepts/minimizing-network-calls.md b/wiki/content/design-concepts/minimizing-network-calls.md new file mode 100644 index 00000000000..e3e6878740a --- /dev/null +++ b/wiki/content/design-concepts/minimizing-network-calls.md @@ -0,0 +1,55 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Minimizing network calls explained" +[menu.main] + parent = "design-concepts" + weight = 4 ++++ + +To explain how Dgraph minimizes network calls, let's start with an example query we should be able +to run. + +*Find all posts liked by friends of friends of mine over the last year, written by a popular author X.* + +## SQL/NoSQL +In a distributed SQL/NoSQL database, this would require you to retrieve a lot of data. + +Method 1: + +* Find all the friends (~ 338 [friends](http://www.pewresearch.org/fact-tank/2014/02/03/6-new-facts-about-facebook/)). +* Find all their friends (~ 338 * 338 = 40,000 people). +* Find all the posts liked by these people over the last year (resulting set in millions). +* Intersect these posts with posts authored by person X. + +Method 2: + +* Find all posts written by popular author X over the last year (possibly thousands). +* Find all people who liked those posts (easily millions) `result set 1`. +* Find all your friends. +* Find all their friends `result set 2`. +* Intersect `result set 1` with `result set 2`. + +Both of these approaches would result in a lot of data going back and forth between database and +application; would be slow to execute, or would require you to run an offline job. + +## Dgraph +This is how it would run in Dgraph: + +* Node X contains posting list for predicate `friends`. +* Seek to caller's userid in Node X **(1 RPC)**. Retrieve a list of friend uids. +* Do multiple seeks for each of the friend uids, to generate a list of friends of friends uids. `result set 1` +* Node Y contains posting list for predicate `posts_liked`. +* Ship result set 1 to Node Y **(1 RPC)**, and do seeks to generate a list of all posts liked by +result set 1. `result set 2` +* Node Z contains posting list for predicate `author`. +* Ship result set 2 to Node Z **(1 RPC)**. Seek to author X, and generate a list of posts authored +by X. `result set 3` +* Intersect the two sorted lists, `result set 2` and `result set 3`. `result set 4` +* Node N contains names for all uids. +* Ship `result set 4` to Node N **(1 RPC)**, and convert uids to names by doing multiple seeks. `result set 5` +* Ship `result set 5` back to caller. + +In 4-5 RPCs, we have figured out all the posts liked by friends of friends, written by popular author X. + +This design allows vast scalability, and yet consistent production level latencies, +to support running complicated queries requiring deep joins. \ No newline at end of file diff --git a/wiki/content/design-concepts/raft.md b/wiki/content/design-concepts/raft.md new file mode 100644 index 00000000000..1a16fa800e7 --- /dev/null +++ b/wiki/content/design-concepts/raft.md @@ -0,0 +1,167 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "RAFT" +[menu.main] + parent = "design-concepts" + weight = 5 ++++ + + +This section aims to explain the RAFT consensus algorithm in simple terms. The idea is to give you +just enough to make you understand the basic concepts, without going into explanations about why it +works accurately. For a detailed explanation of RAFT, please read the original thesis paper by +[Diego Ongaro](https://github.com/ongardie/dissertation). + +## Term +Each election cycle is considered a **term**, during which there is a single leader +*(just like in a democracy)*. When a new election starts, the term number is increased. This is +straightforward and obvious but is a critical factor for the accuracy of the algorithm. + +In rare cases, if no leader could be elected within an `ElectionTimeout`, that term can end without +a leader. + +## Server States +Each server in cluster can be in one of the following three states: + +* Leader +* Follower +* Candidate + +Generally, the servers are in leader or follower state. When the leader crashes or the communication +breaks down, the followers will wait for election timeout before converting to candidates. The +election timeout is randomized. This would allow one of them to declare candidacy before others. +The candidate would vote for itself and wait for the majority of the cluster to vote for it as well. +If a follower hears from a candidate with a higher term than the current (*dead in this case*) leader, +it would vote for it. The candidate who gets majority votes wins the election and becomes the leader. + +The leader then tells the rest of the cluster about the result (Heartbeat +[Communication]({{< relref "#communication" >}})) and the other candidates then become followers. +Again, the cluster goes back into leader-follower model. + +A leader could revert to being a follower without an election, if it finds another leader in the +cluster with a higher [Term]({{< relref "#term" >}})). This might happen in rare cases (network partitions). + +## Communication +There is unidirectional RPC communication, from leader to followers. The followers never ping the +leader. The leader sends `AppendEntries` messages to the followers with logs containing state +updates. When the leader sends `AppendEntries` with zero logs, that's considered a +Heartbeat. Leader sends all followers Heartbeats at regular intervals. + +If a follower doesn't receive Heartbeat for `ElectionTimeout` duration (generally between +150ms to 300ms), it converts it's state to candidate (as mentioned in [Server States]({{< relref "#server-states" >}})). +It then requests for votes by sending a `RequestVote` call to other servers. Again, if it gets +majority votes, candidate becomes a leader. At becoming leader, it then sends Heartbeats +to all other servers to establish its authority *(Cartman style, "Respect my authoritah!")*. + +Every communication request contains a term number. If a server receives a request with a stale term +number, it rejects the request. + +Raft believes in retrying RPCs indefinitely. + +## Log Entries +Log Entries are numbered sequentially and contain a term number. Entry is considered **committed** if +it has been replicated to a majority of the servers. + +On receiving a client request, the leader does four things (aka Log Replication): + +* Appends and persists to its log. +* Issue `AppendEntries` in parallel to other servers. +* On majority replication, consider the entry committed and apply to its state machine. +* Notify followers that entry is committed so that they can apply it to their state machines. + +A leader never overwrites or deletes its entries. There is a guarantee that if an entry is committed, +all future leaders will have it. A leader can, however, force overwrite the followers' logs, so they +match leader's logs *(elected democratically, but got a dictator)*. + +## Voting +Each server persists its current term and vote, so it doesn't end up voting twice in the same term. +On receiving a `RequestVote` RPC, the server denies its vote if its log is more up-to-date than the +candidate. It would also deny a vote, if a minimum `ElectionTimeout` hasn't passed since the last +Heartbeat from the leader. Otherwise, it gives a vote and resets its `ElectionTimeout` timer. + +Up-to-date property of logs is determined as follows: + +* Term number comparison +* Index number or log length comparison + +{{% notice "tip" %}}To understand the above sections better, you can see this +[interactive visualization](http://thesecretlivesofdata.com/raft).{{% /notice %}} + +## Cluster membership +Raft only allows single-server changes, i.e. only one server can be added or deleted at a time. +This is achieved by cluster configuration changes. Cluster configurations are communicated using +special entries in `AppendEntries`. + +The significant difference in how cluster configuration changes are applied compared to how typical +[Log Entries]({{< relref "#log-entries" >}}) are applied is that the followers don't wait for a +commitment confirmation from the leader before enabling it. + +A server can respond to both `AppendEntries` and `RequestVote`, without checking current +configuration. This mechanism allows new servers to participate without officially being part of +the cluster. Without this feature, things won't work. + +When a new server joins, it won't have any logs, and they need to be streamed. To ensure cluster +availability, Raft allows this server to join the cluster as a non-voting member. Once it's caught +up, voting can be enabled. This also allows the cluster to remove this server in case it's too slow +to catch up, before giving voting rights *(sort of like getting a green card to allow assimilation +before citizenship is awarded providing voting rights)*. + + +{{% notice "tip" %}}If you want to add a few servers and remove a few servers, do the addition +before the removal. To bootstrap a cluster, start with one server to allow it to become the leader, +and then add servers to the cluster one-by-one.{{% /notice %}} + +## Log Compaction +One of the ways to do this is snapshotting. As soon as the state machine is synced to disk, the +logs can be discarded. + +Snapshots are taken by default after 10000 Raft entries. This number can be adjusted using the +`dgraph alpha --snapshot_after` flag. + +## Clients +Clients must locate the cluster to interact with it. Various approaches can be used for discovery. + +A client can randomly pick up any server in the cluster. If the server isn't a leader, the request +should be rejected, and the leader information passed along. The client can then re-route it's query +to the leader. Alternatively, the server can proxy the client's request to the leader. + +When a client first starts up, it can register itself with the cluster using `RegisterClient` RPC. +This creates a new client id, which is used for all subsequent RPCs. + +## Linearizable Semantics + +Servers must filter out duplicate requests. They can do this via session tracking where they use +the client id and another request UID set by the client to avoid reprocessing duplicate requests. +RAFT also suggests storing responses along with the request UIDs to reply back in case it receives +a duplicate request. + +Linearizability requires the results of a read to reflect the latest committed write. +Serializability, on the other hand, allows stale reads. + +## Read-only queries + +To ensure linearizability of read-only queries run via leader, leader must take these steps: + +* Leader must have at least one committed entry in its term. This would allow for up-to-dated-ness. +*(C'mon! Now that you're in power do something at least!)* +* Leader stores it's latest commit index. +* Leader sends Heartbeats to the cluster and waits for ACK from majority. Now it knows +that it's the leader. *(No successful coup. Yup, still the democratically elected dictator I was before!)* +* Leader waits for its state machine to advance to readIndex. +* Leader can now run the queries against state machine and reply to clients. + +Read-only queries can also be serviced by followers to reduce the load on the leader. But this +could lead to stale results unless the follower confirms that its leader is the real leader(network partition). +To do so, it would have to send a query to the leader, and the leader would have to do steps 1-3. +Then the follower can do 4-5. + +Read-only queries would have to be batched up, and then RPCs would have to go to the leader for each +batch, who in turn would have to send further RPCs to the whole cluster. *(This is not scalable +without considerable optimizations to deal with latency.)* + +**An alternative approach** would be to have the servers return the index corresponding to their +state machine. The client can then keep track of the maximum index it has received from replies so far. +And pass it along to the server for the next request. If a server's state machine hasn't reached the +index provided by the client, it will not service the request. This approach avoids inter-server +communication and is a lot more scalable. *(This approach does not guarantee linearizability, but +should converge quickly to the latest write.)* diff --git a/wiki/content/design-concepts/transactions-faq.md b/wiki/content/design-concepts/transactions-faq.md new file mode 100644 index 00000000000..06319983809 --- /dev/null +++ b/wiki/content/design-concepts/transactions-faq.md @@ -0,0 +1,22 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Transactions: FAQ" +[menu.main] + parent = "design-concepts" + weight = 1 ++++ + +Dgraph supports distributed ACID transactions through snapshot isolation. + +## Can we do pre-writes only on leaders? + +Seems like a good idea, but has bad implications. If we only do a prewrite +in-memory, only on leader, then this prewrite wouldn't make it to the Raft log, +or disk; but would be considered successful. + +Then zero could mark the transaction as committed; but this leader could go +down, or leadership could change. In such a case, we'd end up losing the +transaction altogether despite it having been considered committed. + +Therefore, pre-writes do have to make it to disk. And if so, better to propose +them in a Raft group. \ No newline at end of file diff --git a/wiki/content/dgraph-compared-to-other-databases/_index.md b/wiki/content/dgraph-compared-to-other-databases/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/dgraph-compared-to-other-databases/index.md b/wiki/content/dgraph-compared-to-other-databases/index.md index 5cd1c0c77fb..eb3c063ac59 100644 --- a/wiki/content/dgraph-compared-to-other-databases/index.md +++ b/wiki/content/dgraph-compared-to-other-databases/index.md @@ -1,5 +1,9 @@ +++ title = "Dgraph compared to other databases" +[menu.main] + url = "/dgraph-compared-to-other-databases/" + identifier = "dgraph-compared-to-other-databases" + weight = 13 +++ This page attempts to draw a comparison between Dgraph and other popular graph databases/datastores. The summaries that follow are brief descriptions that may help a person decide if Dgraph will suit their needs. @@ -22,7 +26,7 @@ Graph databases optimize internal data representation to be able to do graph ope ### Language -Dgraph supports [GraphQL+-]({{< relref "query-language/index.md#graphql">}}), +Dgraph supports [GraphQL+-]({{< relref "query-language/_index.md#graphql">}}), a variation of [GraphQL](https://graphql.org/), a query language created by Facebook. GraphQL+-, as GraphQL itself, allows results to be produced as subgraph rather than lists. diff --git a/wiki/content/enterprise-features/_index.md b/wiki/content/enterprise-features/_index.md index e69de29bb2d..f3d4b9d741f 100644 --- a/wiki/content/enterprise-features/_index.md +++ b/wiki/content/enterprise-features/_index.md @@ -0,0 +1,8 @@ ++++ +date = "2017-03-20T19:35:35+11:00" +title = "Enterprise Features" +[menu.main] + url = "/enterprise-features/" + identifier = "enterprise-features" + weight = 9 ++++ \ No newline at end of file diff --git a/wiki/content/enterprise-features/access-control-lists.md b/wiki/content/enterprise-features/access-control-lists.md new file mode 100644 index 00000000000..1289ed54f48 --- /dev/null +++ b/wiki/content/enterprise-features/access-control-lists.md @@ -0,0 +1,476 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Access Control Lists" +[menu.main] + parent = "enterprise-features" + weight = 2 ++++ + +{{% notice "note" %}} +This feature was introduced in [v1.1.0](https://github.com/dgraph-io/dgraph/releases/tag/v1.1.0). +The Dgraph ACL tool is deprecated and would be removed in the next release. ACL changes can be made by using the `/admin` GraphQL endpoint on any Alpha node. +{{% /notice %}} + +Access Control List (ACL) provides access protection to your data stored in +Dgraph. When the ACL feature is turned on, a client, e.g. dgo or dgraph4j, must +authenticate with a username and password before executing any transactions, and +is only allowed to access the data permitted by the ACL rules. + +This document has two parts: first we will talk about the admin operations +needed for setting up ACL; then we will explain how to use a client to access +the data protected by ACL rules. + +## Turn on ACLs + +The ACL Feature can be turned on by following these steps + +1. Since ACL is an enterprise feature, make sure your use case is covered under +a contract with Dgraph Labs Inc. You can contact us by sending an email to +[contact@dgraph.io](mailto:contact@dgraph.io) or post your request at [our discuss +forum](https://discuss.dgraph.io) to get an enterprise license. + +2. Create a plain text file, and store a randomly generated secret key in it. The secret +key is used by Alpha servers to sign JSON Web Tokens (JWT). As you’ve probably guessed, +it’s critical to keep the secret key as a secret. Another requirement for the secret key +is that it must have at least 256-bits, i.e. 32 ASCII characters, as we are using +HMAC-SHA256 as the signing algorithm. + +3. Start all the alpha servers in your cluster with the option `--acl_secret_file`, and +make sure they are all using the same secret key file created in Step 2. + +Here is an example that starts one zero server and one alpha server with the ACL feature turned on: + +```bash +dgraph zero --my=localhost:5080 --replicas 1 --idx 1 --bindall --expose_trace --profile_mode block --block_rate 10 --logtostderr -v=2 +dgraph alpha --my=localhost:7080 --lru_mb=1024 --zero=localhost:5080 --logtostderr -v=3 --acl_secret_file ./hmac-secret +``` + +If you are using docker-compose, a sample cluster can be set up by: + +1. `cd $GOPATH/src/github.com/dgraph-io/dgraph/compose/` +2. `make` +3. `./compose -e --acl_secret `, after which a `docker-compose.yml` file will be generated. +4. `docker-compose up` to start the cluster using the `docker-compose.yml` generated above. + +## Set up ACL Rules + +Now that your cluster is running with the ACL feature turned on, you can set up the ACL rules. This can be done using the web UI Ratel or by using a GraphQL tool which fires the mutations. Execute the following mutations using a GraphQL tool like Insomnia, GraphQL Playground or GraphiQL. + +A typical workflow is the following: + +1. Reset the root password +2. Create a regular user +3. Create a group +4. Assign the user to the group +5. Assign predicate permissions to the group + +### Using GraphQL Admin API +{{% notice "note" %}} +All these mutations require passing an `X-Dgraph-AccessToken` header, value for which can be obtained after logging in. +{{% /notice %}} + +1) Reset the root password. The example below uses the dgraph endpoint `localhost:8080/admin`as a demo, make sure to choose the correct IP and port for your environment: +```graphql +mutation { + updateUser(input: {filter: {name: {eq: "groot"}}, set: {password: "newpassword"}}) { + user { + name + } + } +} +``` +The default password is `password`. `groot` is part of a special group called `guardians`. Members of `guardians` group will have access to everything. You can add more users to this group if required. + +2) Create a regular user + +```graphql +mutation { + addUser(input: [{name: "alice", password: "newpassword"}]) { + user { + name + } + } +} +``` + +Now you should see the following output + +```json +{ + "data": { + "addUser": { + "user": [ + { + "name": "alice" + } + ] + } + } +} +``` + +3) Create a group + +```graphql +mutation { + addGroup(input: [{name: "dev"}]) { + group { + name + users { + name + } + } + } +} +``` + +Now you should see the following output + +```json +{ + "data": { + "addGroup": { + "group": [ + { + "name": "dev", + "users": [] + } + ] + } + } +} +``` + +4) Assign the user to the group +To assign the user `alice` to both the group `dev` and the group `sre`, the mutation should be + +```graphql +mutation { + updateUser(input: {filter: {name: {eq: "alice"}}, set: {groups: [{name: "dev"}, {name: "sre"}]}}) { + user { + name + groups { + name + } + } + } +} +``` + +5) Assign predicate permissions to the group + +```graphql +mutation { + updateGroup(input: {filter: {name: {eq: "dev"}}, set: {rules: [{predicate: "friend", permission: 7}]}}) { + group { + name + rules { + permission + predicate + } + } + } +} +``` + +Here we assigned a permission rule for the friend predicate to the group. In case you have [reverse edges]({{< relref "query-language/schema.md#reverse-edges" >}}), they have to be given the permission to the group as well +```graphql +mutation { + updateGroup(input: {filter: {name: {eq: "dev"}}, set: {rules: [{predicate: "~friend", permission: 7}]}}) { + group { + name + rules { + permission + predicate + } + } + } +} +``` +You can also resolve this by using the `dgraph acl` tool +``` +dgraph acl -a -w -x mod --group dev --pred ~friend --perm 7 +``` + +The command above grants the `dev` group the `READ`+`WRITE`+`MODIFY` permission on the +`friend` predicate. Permissions are represented by a number following the UNIX file +permission convention. That is, 4 (binary 100) represents `READ`, 2 (binary 010) +represents `WRITE`, and 1 (binary 001) represents `MODIFY` (the permission to change a +predicate's schema). Similarly, permisson numbers can be bitwise OR-ed to represent +multiple permissions. For example, 7 (binary 111) represents all of `READ`, `WRITE` and +`MODIFY`. In order for the example in the next section to work, we also need to grant +full permissions on another predicate `name` to the group `dev`. If there are no rules for +a predicate, the default behavior is to block all (`READ`, `WRITE` and `MODIFY`) operations. + +```graphql +mutation { + updateGroup(input: {filter: {name: {eq: "dev"}}, set: {rules: [{predicate: "name", permission: 7}]}}) { + group { + name + rules { + permission + predicate + } + } + } +} +``` + +## Retrieve Users and Groups Information +{{% notice "note" %}} +All these queries require passing an `X-Dgraph-AccessToken` header, value for which can be obtained after logging in. +{{% /notice %}} +The following examples show how to retrieve information about users and groups. + +### Using a GraphQL tool + +1) Check information about a user + +```graphql +query { + getUser(name: "alice") { + name + groups { + name + } + } +} +``` + +and the output should show the groups that the user has been added to, e.g. + +```json +{ + "data": { + "getUser": { + "name": "alice", + "groups": [ + { + "name": "dev" + } + ] + } + } +} +``` + +2) Check information about a group + +```graphql +{ + getGroup(name: "dev") { + name + users { + name + } + rules { + permission + predicate + } + } +} +``` + +and the output should include the users in the group, as well as the permissions, the +group's ACL rules, e.g. + +```json +{ + "data": { + "getGroup": { + "name": "dev", + "users": [ + { + "name": "alice" + } + ], + "rules": [ + { + "permission": 7, + "predicate": "friend" + }, + { + "permission": 7, + "predicate": "name" + } + ] + } + } +} +``` + +3) Query for users + +```graphql +query { + queryUser(filter: {name: {eq: "alice"}}) { + name + groups { + name + } + } +} +``` + +and the output should show the groups that the user has been added to, e.g. + +```json +{ + "data": { + "queryUser": [ + { + "name": "alice", + "groups": [ + { + "name": "dev" + } + ] + } + ] + } +} +``` + +4) Query for groups + +```graphql +query { + queryGroup(filter: {name: {eq: "dev"}}) { + name + users { + name + } + rules { + permission + predicate + } + } +} +``` + +and the output should include the users in the group, as well as the permissions the +group's ACL rules, e.g. + +```json +{ + "data": { + "queryGroup": [ + { + "name": "dev", + "users": [ + { + "name": "alice" + } + ], + "rules": [ + { + "permission": 7, + "predicate": "friend" + }, + { + "permission": 7, + "predicate": "name" + } + ] + } + ] + } +} +``` + +5) Run ACL commands as another guardian (member of `guardians` group). + +You can also run ACL commands with other users. Say we have a user `alice` which is member +of `guardians` group and its password is `simple_alice`. + +## Access Data Using a Client + +Now that the ACL data are set, to access the data protected by ACL rules, we need to +first log in through a user. This is tyically done via the client's `.login(USER_ID, USER_PASSWORD)` method. + +A sample code using the dgo client can be found +[here](https://github.com/dgraph-io/dgraph/blob/master/tlstest/acl/acl_over_tls_test.go). An example using +dgraph4j can be found [here](https://github.com/dgraph-io/dgraph4j/blob/master/src/test/java/io/dgraph/AclTest.java). + +## Access Data Using the GraphQL API + +Dgraph's HTTP API also supports authenticated operations to access ACL-protected +data. + +To login, send a POST request to `/admin` with the GraphQL mutation. For example, to log in as the root user groot: + +```graphql +mutation { + login(userId: "groot", password: "password") { + response { + accessJWT + refreshJWT + } + } +} +``` + +Response: + +```json +{ + "data": { + "accessJWT": "", + "refreshJWT": "" + } +} +``` + +The response includes the access and refresh JWTs which are used for the authentication itself and refreshing the authentication token, respectively. Save the JWTs from the response for later HTTP requests. + +You can run authenticated requests by passing the accessJWT to a request via the `X-Dgraph-AccessToken` header. Add the header `X-Dgraph-AccessToken` with the `accessJWT` value which you got in the login response in the GraphQL tool which you're using to make the request. For example: + +```graphql +mutation { + addUser(input: [{name: "alice", password: "newpassword"}]) { + user { + name + } + } +} +``` + +The refresh token can be used in the `/admin` POST GraphQL mutation to receive new access and refresh JWTs, which is useful to renew the authenticated session once the ACL access TTL expires (controlled by Dgraph Alpha's flag `--acl_access_ttl` which is set to 6h0m0s by default). + +```graphql +mutation { + login(userId: "groot", password: "newpassword", refreshToken: "") { + response { + accessJWT + refreshJWT + } + } +} +``` + +## Reset Groot Password + +If you've forgotten the password to your groot user, then you may reset the groot password (or +the password for any user) by following these steps. + +1. Stop Dgraph Alpha. +2. Turn off ACLs by removing the `--acl_hmac_secret` config flag in the Alpha config. This leaves + the Alpha open with no ACL rules, so be sure to restrict access, including stopping request + traffic to this Alpha. +3. Start Dgraph Alpha. +4. Connect to Dgraph Alpha using Ratel and run the following upsert mutation to update the groot password + to `newpassword` (choose your own secure password): + ```text + upsert { + query { + groot as var(func: eq(dgraph.xid, "groot")) + } + mutation { + set { + uid(groot) "newpassword" . + } + } + } + ``` +5. Restart Dgraph Alpha with ACLs turned on by setting the `--acl_hmac_secret` config flag. +6. Login as groot with your new password. \ No newline at end of file diff --git a/wiki/content/enterprise-features/binary-backups.md b/wiki/content/enterprise-features/binary-backups.md new file mode 100644 index 00000000000..68f86935146 --- /dev/null +++ b/wiki/content/enterprise-features/binary-backups.md @@ -0,0 +1,316 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Binary Backups" +[menu.main] + parent = "enterprise-features" + weight = 1 ++++ + +{{% notice "note" %}} +This feature was introduced in [v1.1.0](https://github.com/dgraph-io/dgraph/releases/tag/v1.1.0). +{{% /notice %}} + +Binary backups are full backups of Dgraph that are backed up directly to cloud +storage such as Amazon S3 or any Minio storage backend. Backups can also be +saved to an on-premise network file system shared by all alpha instances. These +backups can be used to restore a new Dgraph cluster to the previous state from +the backup. Unlike [exports]({{< relref "deploy/dgraph-administration.md#exporting-database" >}}), +binary backups are Dgraph-specific and can be used to restore a cluster quickly. + + +## Configure Backup + +Backup is only enabled when a valid license file is supplied to a Zero server OR within the thirty +(30) day trial period, no exceptions. + + +### Configure Amazon S3 Credentials + +To backup to Amazon S3, the Alpha must have the following AWS credentials set +via environment variables: + + Environment Variable | Description + -------------------- | ----------- + `AWS_ACCESS_KEY_ID` or `AWS_ACCESS_KEY` | AWS access key with permissions to write to the destination bucket. + `AWS_SECRET_ACCESS_KEY` or `AWS_SECRET_KEY` | AWS access key with permissions to write to the destination bucket. + `AWS_SESSION_TOKEN` | AWS session token (if required). + + +### Configure Minio Credentials + +To backup to Minio, the Alpha must have the following Minio credentials set via +environment variables: + + Environment Variable | Description + -------------------- | ----------- + `MINIO_ACCESS_KEY` | Minio access key with permissions to write to the destination bucket. + `MINIO_SECRET_KEY` | Minio secret key with permissions to write to the destination bucket. + + +## Create a Backup + +To create a backup, make an HTTP POST request to `/admin` to a Dgraph +Alpha HTTP address and port (default, "localhost:8080"). Like with all `/admin` +endpoints, this is only accessible on the same machine as the Alpha unless +[whitelisted for admin operations]({{< relref "deploy/dgraph-administration.md#whitelisting-admin-operations" >}}). +Execute the following mutation on /admin endpoint using any GraphQL compatible client like Insomnia, GraphQL Playground or GraphiQL. + + +### Backup to Amazon S3 + +```graphql +mutation { + backup(input: {destination: "s3://s3.us-west-2.amazonaws.com/"}) { + response { + message + code + } + } +} +``` + + +### Backup to Minio + +```graphql +mutation { + backup(input: {destination: "minio://127.0.0.1:9000/"}) { + response { + message + code + } + } +} +``` + + + +### Backup to Minio + + +### Backup to Google Cloud Storage via Minio Gateway + +1. [Create a Service Account key](https://github.com/minio/minio/blob/master/docs/gateway/gcs.md#11-create-a-service-account-ey-for-gcs-and-get-the-credentials-file) for GCS and get the Credentials File +2. Run MinIO GCS Gateway Using Docker +``` +docker run -p 9000:9000 --name gcs-s3 \ + -v /path/to/credentials.json:/credentials.json \ + -e "GOOGLE_APPLICATION_CREDENTIALS=/credentials.json" \ + -e "MINIO_ACCESS_KEY=minioaccountname" \ + -e "MINIO_SECRET_KEY=minioaccountkey" \ + minio/minio gateway gcs yourprojectid +``` +3. Run MinIO GCS Gateway Using the MinIO Binary +``` +export GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json +export MINIO_ACCESS_KEY=minioaccesskey +export MINIO_SECRET_KEY=miniosecretkey +minio gateway gcs yourprojectid +``` + +### Test Using MinIO Browser +MinIO Gateway comes with an embedded web-based object browser that outputs content to http://127.0.0.1:9000. To test that MinIO Gateway is running, open a web browser, navigate to http://127.0.0.1:9000, and ensure that the object browser is displayed. +![](https://github.com/minio/minio/blob/master/docs/screenshots/minio-browser-gateway.png?raw=true) + + +### Test Using MinIO Client + +MinIO Client is a command-line tool called mc that provides UNIX-like commands for interacting with the server (e.g. ls, cat, cp, mirror, diff, find, etc.). mc supports file systems and Amazon S3-compatible cloud storage services (AWS Signature v2 and v4). +MinIO Client is a command-line tool called mc that provides UNIX-like commands for interacting with the server (e.g. ls, cat, cp, diff, find, etc.). mc supports file systems and Amazon S3-compatible cloud storage services (AWS Signature v2 and v4). + +1. Configure the Gateway using MinIO Client + +Use the following command to configure the gateway: +``` +mc config host add mygcs http://gateway-ip:9000 minioaccesskey miniosecretkey +``` + +2. List Containers on GCS + +Use the following command to list the containers on GCS: + +``` +mc ls mygcs +``` +A response similar to this one should be displayed: + +``` +[2017-02-22 01:50:43 PST] 0B ferenginar/ +[2017-02-26 21:43:51 PST] 0B my-container/ +[2017-02-26 22:10:11 PST] 0B test-container1/ +``` + + +### Disabling HTTPS for S3 and Minio backups + +By default, Dgraph assumes the destination bucket is using HTTPS. If that is not +the case, the backup will fail. To send a backup to a bucket using HTTP +(insecure), set the query parameter `secure=false` with the destination +endpoint in the `destination` field: + +```graphql +mutation { + backup(input: {destination: "minio://127.0.0.1:9000/?secure=false"}) { + response { + message + code + } + } +} +``` + + +### Overriding Credentials + +The `accessKey`, `secretKey`, and `sessionToken` parameters can be used to +override the default credentials. Please note that unless HTTPS is used, the +credentials will be transmitted in plain text so use these parameters with +discretion. The environment variables should be used by default but these +options are there to allow for greater flexibility. + +The `anonymous` parameter can be set to "true" to a allow backing up to S3 or +Minio bucket that requires no credentials (i.e a public bucket). + + +### Backup to NFS + +```graphql +mutation { + backup(input: {destination: "/path/to/local/directory"}) { + response { + message + code + } + } +} +``` + +A local filesystem will work only if all the Alphas have access to it (e.g all +the Alphas are running on the same filesystems as a normal process, not a Docker +container). However, a NFS is recommended so that backups work seamlessly across +multiple machines and/or containers. + + +### Forcing a Full Backup + +By default, an incremental backup will be created if there's another full backup +in the specified location. To create a full backup, set the `forceFull` field +to `true` in the mutation. Each series of backups can be +identified by a unique ID and each backup in the series is assigned a +monotonically increasing number. The following section contains more details on +how to restore a backup series. +```graphql +mutation { + backup(input: {destination: "/path/to/local/directory", forceFull: true}) { + response { + message + code + } + } +} +``` + + +## Encrypted Backups + +Encrypted backups are a Enterprise feature that are available from v20.03.1 and v1.2.3 and allow you to encrypt your backups and restore them. This documentation describes how to implement encryption into your binary backups + + +## New flag “Encrypted” in manifest.json + +A new flag “Encrypted” is added to the `manifest.json`. This flag indicates if the corresponding binary backup is encrypted or not. To be backward compatible, if this flag is absent, it is presumed that the corresponding backup is not encrypted. + +For a series of full and incremental backups, per the current design, we don't allow mixing of encrypted and unencrypted backups. As a result, all full and incremental backups in a series must either be encrypted fully or not at all. This flag helps with checking this restriction. + + +## AES And Chaining with Gzip + +If encryption is turned on an alpha, then we use the configured encryption key. The key size (16, 24, 32 bytes) determines AES-128/192/256 cipher chosen. We use the AES CTR mode. Currently, the binary backup is already gzipped. With encryption, we will encrypt the gzipped data. + +During **backup**: the 16 bytes IV is prepended to the Cipher-text data after encryption. + + +## Backup + +Backup is an online tool, meaning it is available when alpha is running. For encrypted backups, the alpha must be configured with the “encryption_key_file”. + +{{% notice "note" %}} +encryption_key_file was used for encryption-at-rest and will now also be used for encrypted backups. +{{% /notice %}} + +The restore utility is a standalone tool today. Hence, a new flag “keyfile” is added to the restore utility so it can decrypt the backup. This keyfile must be the same key that was used for encryption during backup. + + +## Restore from Backup + +The `dgraph restore` command restores the postings directory from a previously +created backup to a directory in the local filesystem. Restore is intended to +restore a backup to a new Dgraph cluster not a currently live one. During a +restore, a new Dgraph Zero may be running to fully restore the backup state. + +The `--location` (`-l`) flag specifies a source URI with Dgraph backup objects. +This URI supports all the schemes used for backup. + +The `--postings` (`-p`) flag sets the directory to which the restored posting +directories will be saved. This directory will contain a posting directory for +each group in the restored backup. + +The `--zero` (`-z`) flag specifies a Dgraph Zero address to update the start +timestamp and UID lease using the restored version. If no zero address is +passed, the command will complain unless you set the value of the +`--force_zero` flag to false. If do not pass a zero value to this command, +the timestamp and UID lease must be manually updated through Zero's HTTP +'assign' endpoint using the values printed near the end of the command's output. + +The `--backup_id` optional flag specifies the ID of the backup series to +restore. A backup series consists of a full backup and all the incremental +backups built on top of it. Each time a new full backup is created, a new backup +series with a different ID is started. The backup series ID is stored in each +`manifest.json` file stored in every backup folder. + +The `--encryption_key_file` flag is required if you took the backup in an +encrypted cluster and should point to the location of the same key used to +run the cluster. + +The restore feature will create a cluster with as many groups as the original +cluster had at the time of the last backup. For each group, `dgraph restore` +creates a posting directory `p` corresponding to the backup group ID. For +example, a backup for Alpha group 2 would have the name `.../r32-g2.backup` +and would be loaded to posting directory `p2`. + +After running the restore command, the directories inside the `postings` +directory need to be manually copied over to the machines/containers running the +alphas before running the `dgraph alpha` command. For example, in a database +cluster with two Alpha groups and one replica each, `p1` needs to be moved to +the location of the first Alpha and `p2` needs to be moved to the location of +the second Alpha. + +By default, Dgraph will look for a posting directory with the name `p`, so make +sure to rename the directories after moving them. You can also use the `-p` +option of the `dgraph alpha` command to specify a different path from the default. + + +### Restore from Amazon S3 +```sh +$ dgraph restore -p /var/db/dgraph -l s3://s3.us-west-2.amazonaws.com/ +``` + + +### Restore from Minio +```sh +$ dgraph restore -p /var/db/dgraph -l minio://127.0.0.1:9000/ +``` + + +### Restore from Local Directory or NFS +```sh +$ dgraph restore -p /var/db/dgraph -l /var/backups/dgraph +``` + + +### Restore and Update Timestamp + +Specify the Zero address and port for the new cluster with `--zero`/`-z` to update the timestamp. +```sh +$ dgraph restore -p /var/db/dgraph -l /var/backups/dgraph -z localhost:5080 +``` \ No newline at end of file diff --git a/wiki/content/enterprise-features/encryption-at-rest.md b/wiki/content/enterprise-features/encryption-at-rest.md new file mode 100644 index 00000000000..b0f5d744c8a --- /dev/null +++ b/wiki/content/enterprise-features/encryption-at-rest.md @@ -0,0 +1,79 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Encryption at Rest" +[menu.main] + parent = "enterprise-features" + weight = 3 ++++ + +{{% notice "note" %}} +This feature was introduced in [v1.1.1](https://github.com/dgraph-io/dgraph/releases/tag/v1.1.1). +For migrating unencrypted data to a new Dgraph cluster with encryption enabled, you need to +[export the database](https://dgraph.io/docs/deploy/#exporting-database) and [fast data load](https://dgraph.io/docs/deploy/#fast-data-loading), +preferably using the [bulk loader](https://dgraph.io/docs/deploy/#bulk-loader). +{{% /notice %}} + +Encryption at rest refers to the encryption of data that is stored physically in any +digital form. It ensures that sensitive data on disks is not readable by any user +or application without a valid key that is required for decryption. Dgraph provides +encryption at rest as an enterprise feature. If encryption is enabled, Dgraph uses +[Advanced Encryption Standard (AES)](https://en.wikipedia.org/wiki/Advanced_Encryption_Standard) +algorithm to encrypt the data and secure it. + +## Set up Encryption + +To enable encryption, we need to pass a file that stores the data encryption key with the option +`--encryption_key_file`. The key size must be 16, 24, or 32 bytes long, and the key size determines +the corresponding block size for AES encryption ,i.e. AES-128, AES-192, and AES-256, respectively. + +You can use the following command to create the encryption key file (set _count_ to the +desired key size): + +``` +dd if=/dev/random bs=1 count=32 of=enc_key_file +``` + +## Turn on Encryption + +Here is an example that starts one Zero server and one Alpha server with the encryption feature turned on: + +```bash +dgraph zero --my=localhost:5080 --replicas 1 --idx 1 +dgraph alpha --encryption_key_file ./enc_key_file --my=localhost:7080 --lru_mb=1024 --zero=localhost:5080 +``` + +If multiple Alpha nodes are part of the cluster, you will need to pass the `--encryption_key_file` option to +each of the Alphas. + +Once an Alpha has encryption enabled, the encryption key must be provided in order to start the Alpha server. +If the Alpha server restarts, the `--encryption_key_file` option must be set along with the key in order to +restart successfully. + +## Turn off Encryption + +If you wish to turn off encryption from an existing Alpha, then you can export your data and import it +into a new Dgraph instance without encryption enabled. + +## Change Encryption Key + +The master encryption key set by the `--encryption_key_file` option does not change automatically. The master +encryption key encrypts underlying *data keys* which are changed on a regular basis automatically (more info +about this is covered on the encryption-at-rest [blog][encblog] post). + +[encblog]: https://dgraph.io/blog/post/encryption-at-rest-dgraph-badger#one-key-to-rule-them-all-many-keys-to-find-them + +Changing the existing key to a new one is called key rotation. You can rotate the master encryption key by +using the `badger rotate` command on both p and w directories for each Alpha. To maintain availability in HA +cluster configurations, you can do this rotate the key one Alpha at a time in a rolling manner. + +You'll need both the current key and the new key in two different files. Specify the directory you +rotate ("p" or "w") for the `--dir` flag, the old key for the `--old-key-path` flag, and the new key with the +`--new-key-path` flag. + +``` +badger rotate --dir p --old-key-path enc_key_file --new-key-path new_enc_key_file +badger rotate --dir w --old-key-path enc_key_file --new-key-path new_enc_key_file +``` + +Then, you can start Alpha with the `new_enc_key_file` key file to use the new key. + diff --git a/wiki/content/enterprise-features/index.md b/wiki/content/enterprise-features/index.md deleted file mode 100644 index 183a7a1276f..00000000000 --- a/wiki/content/enterprise-features/index.md +++ /dev/null @@ -1,960 +0,0 @@ -+++ -date = "2017-03-20T19:35:35+11:00" -title = "Enterprise Features" -+++ - -Dgraph enterprise features are proprietary licensed under the [Dgraph Community -License][dcl]. All Dgraph releases contain proprietary code for enterprise features. -Enabling these features requires an enterprise contract from -[contact@dgraph.io](mailto:contact@dgraph.io) or the [discuss -community](https://discuss.dgraph.io). - -**Dgraph enterprise features are enabled by default for 30 days in a new cluster**. -After the trial period of thirty (30) days, the cluster must obtain a license from Dgraph to -continue using the enterprise features released in the proprietary code. - -{{% notice "note" %}} -At the conclusion of your 30-day trial period if a license has not been applied to the cluster, -access to the enterprise features will be suspended. The cluster will continue to operate without -enterprise features. -{{% /notice %}} - -When you have an enterprise license key, the license can be applied to the cluster by including it -as the body of a POST request and calling `/enterpriseLicense` HTTP endpoint on the leader Zero server. - -```sh -curl -X POST localhost:6080/enterpriseLicense --upload-file ./licensekey.txt -``` - -It can also be applied by passing the path to the enterprise license file (using the flag -`--enterprise_license`) to the `dgraph zero` command used to start the server. The second option is -useful when the process needs to be automated. - -```sh -dgraph zero --enterprise_license ./licensekey.txt -``` - -[dcl]: https://github.com/dgraph-io/dgraph/blob/master/licenses/DCL.txt - -## Binary Backups - -{{% notice "note" %}} -This feature was introduced in [v1.1.0](https://github.com/dgraph-io/dgraph/releases/tag/v1.1.0). -{{% /notice %}} - -Binary backups are full backups of Dgraph that are backed up directly to cloud -storage such as Amazon S3 or any Minio storage backend. Backups can also be -saved to an on-premise network file system shared by all alpha instances. These -backups can be used to restore a new Dgraph cluster to the previous state from -the backup. Unlike [exports]({{< relref "deploy/index.md#exporting-database" >}}), -binary backups are Dgraph-specific and can be used to restore a cluster quickly. - -### Configure Backup - -Backup is only enabled when a valid license file is supplied to a Zero server OR within the thirty -(30) day trial period, no exceptions. - -#### Configure Amazon S3 Credentials - -To backup to Amazon S3, the Alpha must have the following AWS credentials set -via environment variables: - - Environment Variable | Description - -------------------- | ----------- - `AWS_ACCESS_KEY_ID` or `AWS_ACCESS_KEY` | AWS access key with permissions to write to the destination bucket. - `AWS_SECRET_ACCESS_KEY` or `AWS_SECRET_KEY` | AWS access key with permissions to write to the destination bucket. - `AWS_SESSION_TOKEN` | AWS session token (if required). - -#### Configure Minio Credentials - -To backup to Minio, the Alpha must have the following Minio credentials set via -environment variables: - - Environment Variable | Description - -------------------- | ----------- - `MINIO_ACCESS_KEY` | Minio access key with permissions to write to the destination bucket. - `MINIO_SECRET_KEY` | Minio secret key with permissions to write to the destination bucket. - -### Create a Backup - -To create a backup, make an HTTP POST request to `/admin` to a Dgraph -Alpha HTTP address and port (default, "localhost:8080"). Like with all `/admin` -endpoints, this is only accessible on the same machine as the Alpha unless -[whitelisted for admin operations]({{< relref "deploy/index.md#whitelisting-admin-operations" >}}). -Execute the following mutation on /admin endpoint using any GraphQL compatible client like Insomnia, GraphQL Playground or GraphiQL. - -#### Backup to Amazon S3 - -```graphql -mutation { - backup(input: {destination: "s3://s3.us-west-2.amazonaws.com/"}) { - response { - message - code - } - } -} -``` - -#### Backup to Minio - -```graphql -mutation { - backup(input: {destination: "minio://127.0.0.1:9000/"}) { - response { - message - code - } - } -} -``` - - -#### Backup to Minio - -#### Backup to Google Cloud Storage via Minio Gateway - -1. [Create a Service Account key](https://github.com/minio/minio/blob/master/docs/gateway/gcs.md#11-create-a-service-account-ey-for-gcs-and-get-the-credentials-file) for GCS and get the Credentials File -2. Run MinIO GCS Gateway Using Docker -``` -docker run -p 9000:9000 --name gcs-s3 \ - -v /path/to/credentials.json:/credentials.json \ - -e "GOOGLE_APPLICATION_CREDENTIALS=/credentials.json" \ - -e "MINIO_ACCESS_KEY=minioaccountname" \ - -e "MINIO_SECRET_KEY=minioaccountkey" \ - minio/minio gateway gcs yourprojectid -``` -3. Run MinIO GCS Gateway Using the MinIO Binary -``` -export GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json -export MINIO_ACCESS_KEY=minioaccesskey -export MINIO_SECRET_KEY=miniosecretkey -minio gateway gcs yourprojectid -``` -#### Test Using MinIO Browser -MinIO Gateway comes with an embedded web-based object browser that outputs content to http://127.0.0.1:9000. To test that MinIO Gateway is running, open a web browser, navigate to http://127.0.0.1:9000, and ensure that the object browser is displayed. -![](https://github.com/minio/minio/blob/master/docs/screenshots/minio-browser-gateway.png?raw=true) - -#### Test Using MinIO Client - -MinIO Client is a command-line tool called mc that provides UNIX-like commands for interacting with the server (e.g. ls, cat, cp, mirror, diff, find, etc.). mc supports file systems and Amazon S3-compatible cloud storage services (AWS Signature v2 and v4). -MinIO Client is a command-line tool called mc that provides UNIX-like commands for interacting with the server (e.g. ls, cat, cp, diff, find, etc.). mc supports file systems and Amazon S3-compatible cloud storage services (AWS Signature v2 and v4). - -1. Configure the Gateway using MinIO Client - -Use the following command to configure the gateway: -``` -mc config host add mygcs http://gateway-ip:9000 minioaccesskey miniosecretkey -``` - -2. List Containers on GCS - -Use the following command to list the containers on GCS: - -``` -mc ls mygcs -``` -A response similar to this one should be displayed: - -``` -[2017-02-22 01:50:43 PST] 0B ferenginar/ -[2017-02-26 21:43:51 PST] 0B my-container/ -[2017-02-26 22:10:11 PST] 0B test-container1/ -``` - -#### Disabling HTTPS for S3 and Minio backups - -By default, Dgraph assumes the destination bucket is using HTTPS. If that is not -the case, the backup will fail. To send a backup to a bucket using HTTP -(insecure), set the query parameter `secure=false` with the destination -endpoint in the `destination` field: - -```graphql -mutation { - backup(input: {destination: "minio://127.0.0.1:9000/?secure=false"}) { - response { - message - code - } - } -} -``` - -#### Overriding Credentials - -The `accessKey`, `secretKey`, and `sessionToken` parameters can be used to -override the default credentials. Please note that unless HTTPS is used, the -credentials will be transmitted in plain text so use these parameters with -discretion. The environment variables should be used by default but these -options are there to allow for greater flexibility. - -The `anonymous` parameter can be set to "true" to a allow backing up to S3 or -Minio bucket that requires no credentials (i.e a public bucket). - -#### Backup to NFS - -```graphql -mutation { - backup(input: {destination: "/path/to/local/directory"}) { - response { - message - code - } - } -} -``` - -A local filesystem will work only if all the Alphas have access to it (e.g all -the Alphas are running on the same filesystems as a normal process, not a Docker -container). However, a NFS is recommended so that backups work seamlessly across -multiple machines and/or containers. - -#### Forcing a Full Backup - -By default, an incremental backup will be created if there's another full backup -in the specified location. To create a full backup, set the `forceFull` field -to `true` in the mutation. Each series of backups can be -identified by a unique ID and each backup in the series is assigned a -monotonically increasing number. The following section contains more details on -how to restore a backup series. -```graphql -mutation { - backup(input: {destination: "/path/to/local/directory", forceFull: true}) { - response { - message - code - } - } -} -``` - -### Encrypted Backups - -Encrypted backups are a Enterprise feature that are available from v20.03.1 and v1.2.3 and allow you to encrypt your backups and restore them. This documentation describes how to implement encryption into your binary backups - -### New flag “Encrypted” in manifest.json - -A new flag “Encrypted” is added to the `manifest.json`. This flag indicates if the corresponding binary backup is encrypted or not. To be backward compatible, if this flag is absent, it is presumed that the corresponding backup is not encrypted. - -For a series of full and incremental backups, per the current design, we don't allow mixing of encrypted and unencrypted backups. As a result, all full and incremental backups in a series must either be encrypted fully or not at all. This flag helps with checking this restriction. - -### AES And Chaining with Gzip - -If encryption is turned on an alpha, then we use the configured encryption key. The key size (16, 24, 32 bytes) determines AES-128/192/256 cipher chosen. We use the AES CTR mode. Currently, the binary backup is already gzipped. With encryption, we will encrypt the gzipped data. - -During **backup**: the 16 bytes IV is prepended to the Cipher-text data after encryption. - -### Backup - -Backup is an online tool, meaning it is available when alpha is running. For encrypted backups, the alpha must be configured with the “encryption_key_file”. - -{{% notice "note" %}} -encryption_key_file was used for encryption-at-rest and will now also be used for encrypted backups. -{{% /notice %}} - -The restore utility is a standalone tool today. Hence, a new flag “keyfile” is added to the restore utility so it can decrypt the backup. This keyfile must be the same key that was used for encryption during backup. - -### Restore from Backup - -The `dgraph restore` command restores the postings directory from a previously -created backup to a directory in the local filesystem. Restore is intended to -restore a backup to a new Dgraph cluster not a currently live one. During a -restore, a new Dgraph Zero may be running to fully restore the backup state. - -The `--location` (`-l`) flag specifies a source URI with Dgraph backup objects. -This URI supports all the schemes used for backup. - -The `--postings` (`-p`) flag sets the directory to which the restored posting -directories will be saved. This directory will contain a posting directory for -each group in the restored backup. - -The `--zero` (`-z`) flag specifies a Dgraph Zero address to update the start -timestamp and UID lease using the restored version. If no zero address is -passed, the command will complain unless you set the value of the -`--force_zero` flag to false. If do not pass a zero value to this command, -the timestamp and UID lease must be manually updated through Zero's HTTP -'assign' endpoint using the values printed near the end of the command's output. - -The `--backup_id` optional flag specifies the ID of the backup series to -restore. A backup series consists of a full backup and all the incremental -backups built on top of it. Each time a new full backup is created, a new backup -series with a different ID is started. The backup series ID is stored in each -`manifest.json` file stored in every backup folder. - -The `--encryption_key_file` flag is required if you took the backup in an -encrypted cluster and should point to the location of the same key used to -run the cluster. - -The restore feature will create a cluster with as many groups as the original -cluster had at the time of the last backup. For each group, `dgraph restore` -creates a posting directory `p` corresponding to the backup group ID. For -example, a backup for Alpha group 2 would have the name `.../r32-g2.backup` -and would be loaded to posting directory `p2`. - -After running the restore command, the directories inside the `postings` -directory need to be manually copied over to the machines/containers running the -alphas before running the `dgraph alpha` command. For example, in a database -cluster with two Alpha groups and one replica each, `p1` needs to be moved to -the location of the first Alpha and `p2` needs to be moved to the location of -the second Alpha. - -By default, Dgraph will look for a posting directory with the name `p`, so make -sure to rename the directories after moving them. You can also use the `-p` -option of the `dgraph alpha` command to specify a different path from the default. - -#### Restore from Amazon S3 -```sh -$ dgraph restore -p /var/db/dgraph -l s3://s3.us-west-2.amazonaws.com/ -``` - -#### Restore from Minio -```sh -$ dgraph restore -p /var/db/dgraph -l minio://127.0.0.1:9000/ -``` - -#### Restore from Local Directory or NFS -```sh -$ dgraph restore -p /var/db/dgraph -l /var/backups/dgraph -``` - -#### Restore and Update Timestamp - -Specify the Zero address and port for the new cluster with `--zero`/`-z` to update the timestamp. -```sh -$ dgraph restore -p /var/db/dgraph -l /var/backups/dgraph -z localhost:5080 -``` - -### Online Restore - -Starting in version 20.07, restoring to a live cluster is supported. Instead of -running the command line tool and copying the `p` directories around, users can -now point the cluster to the backup location and the cluster will read the backup, -write the data, and set the cluster so that it can read the data. - -Some things to note about online restores are: - -- Existing data is dropped. This is the equivalent of sending a DropAll - operation to the cluster. -- Draining mode is enabled during the duration of the restore. This means - queries and mutations are disabled. Draining mode is turned off when the - restore completes. -- The operation is asynchronous and the request responds immediately after - scheduling the restore. The response includes a unique restore ID that can be - used to query the status of the operation. -- This operation should only be done when the cluster is new or when an existing - cluster has been taken offline for maintenance. -- The cluster needs to have the same number of groups as the cluster where the - backup was created. -- The predicates will be forcibly moved around groups to ensure the state of the - cluster after restore matches what is indicated by the backup manifest. The - process does not require existing data to be moved around since it will be - deleted anyways. - -### Basic operation - -A restore can be started via the GraphQL admin endpoint (i.e. `/admin`) of any -alpha in the cluster. This is the same endpoint to which backup requests are -sent. The basic call looks like this. - -```graphql -mutation restore() { - restore(input: {location: "your-backup-location", backupId: "your-backup-id") { - code - message - restoreId - } -} -``` - -If the restore was successfully scheduled, the response will include the restore ID that -can be used to query for the status of the restore via the admin endpoint. Below is an -example. - -```graphql -query status() { - restoreStatus(restoreId: 1) { - status - errors - } -} -``` - -The status can be one of "OK", "ERR", "UNKNOWN", or "IN_PROGRESS". The errors -field contains the errors if the operation failed and it will be empty -otherwise. Also note that the information used to track a restore operation is -local to each alpha. In practical terms, this means that you should send this -request to the same alpha to which the original restore request was sent. - -### Online Restore Options - -The input parameter can include the fields shown below. Of those, only -`location` is required. Like backups, the authentication info (e.g access key) -is only required if you need to override the defaults that are set via -environment variables (see section on backups for reference). -The fields related to Vault are also only needed if you need to override the -defaults. - -- location: Destination for the backup: e.g. Minio or S3 bucket. -- backupId: Backup ID of the backup series to restore. This ID is included in - the manifest.json file. If missing, it defaults to the latest series. -- encryptionKeyFile: Path to the key file needed to decrypt the backup. This - file should be accessible by all alphas in the group. The backup will be - written using the encryption key with which the cluster was started, which - might be different than this key. -- accessKey: Access key credential for the S3 or minio destination. -- secretKey: Secret key credential for the S3 or minio destination . -- sessionToken: AWS session token, if required. -- anonymous: Set to true to allow backing up to S3 or Minio bucket that requires - no credentials. -- vaultAddr: Vault server address where the key is stored. This server must be - accessible by all alphas in the group. Default "http://localhost:8200". -- vaultRoleIDFile: Path to the Vault RoleID file. -- vaultSecretIDFile: Path to the Vault SecretID file. -- vaultPath: Vault kv store path where the key lives. Default - "secret/data/dgraph". -- vaultField: Vault kv store field whose value is the key. Default "enc_key". -- vaultFormat: Vault kv store field's format. Must be "base64" or "raw". Default - "base64". - -## Access Control Lists - -{{% notice "note" %}} -This feature was introduced in [v1.1.0](https://github.com/dgraph-io/dgraph/releases/tag/v1.1.0). -The Dgraph ACL tool is deprecated and would be removed in the next release. ACL changes can be made by using the `/admin` GraphQL endpoint on any Alpha node. -{{% /notice %}} - -Access Control List (ACL) provides access protection to your data stored in -Dgraph. When the ACL feature is turned on, a client, e.g. dgo or dgraph4j, must -authenticate with a username and password before executing any transactions, and -is only allowed to access the data permitted by the ACL rules. - -This document has two parts: first we will talk about the admin operations -needed for setting up ACL; then we will explain how to use a client to access -the data protected by ACL rules. - -### Turn on ACLs - -The ACL Feature can be turned on by following these steps - -1. Since ACL is an enterprise feature, make sure your use case is covered under -a contract with Dgraph Labs Inc. You can contact us by sending an email to -[contact@dgraph.io](mailto:contact@dgraph.io) or post your request at [our discuss -community](https://discuss.dgraph.io) to get an enterprise license. - -2. Create a plain text file, and store a randomly generated secret key in it. The secret -key is used by Alpha servers to sign JSON Web Tokens (JWT). As you’ve probably guessed, -it’s critical to keep the secret key as a secret. Another requirement for the secret key -is that it must have at least 256-bits, i.e. 32 ASCII characters, as we are using -HMAC-SHA256 as the signing algorithm. - -3. Start all the alpha servers in your cluster with the option `--acl_secret_file`, and -make sure they are all using the same secret key file created in Step 2. - -Here is an example that starts one zero server and one alpha server with the ACL feature turned on: - -```bash -dgraph zero --my=localhost:5080 --replicas 1 --idx 1 --bindall --expose_trace --profile_mode block --block_rate 10 --logtostderr -v=2 -dgraph alpha --my=localhost:7080 --lru_mb=1024 --zero=localhost:5080 --logtostderr -v=3 --acl_secret_file ./hmac-secret -``` - -If you are using docker-compose, a sample cluster can be set up by: - -1. `cd $GOPATH/src/github.com/dgraph-io/dgraph/compose/` -2. `make` -3. `./compose -e --acl_secret `, after which a `docker-compose.yml` file will be generated. -4. `docker-compose up` to start the cluster using the `docker-compose.yml` generated above. - -### Set up ACL Rules - -Now that your cluster is running with the ACL feature turned on, you can set up the ACL rules. This can be done using the web UI Ratel or by using a GraphQL tool which fires the mutations. Execute the following mutations using a GraphQL tool like Insomnia, GraphQL Playground or GraphiQL. - -A typical workflow is the following: - -1. Reset the root password -2. Create a regular user -3. Create a group -4. Assign the user to the group -5. Assign predicate permissions to the group - -#### Using GraphQL Admin API -{{% notice "note" %}} -All these mutations require passing an `X-Dgraph-AccessToken` header, value for which can be obtained after logging in. -{{% /notice %}} - -1) Reset the root password. The example below uses the dgraph endpoint `localhost:8080/admin`as a demo, make sure to choose the correct IP and port for your environment: -```graphql -mutation { - updateUser(input: {filter: {name: {eq: "groot"}}, set: {password: "newpassword"}}) { - user { - name - } - } -} -``` -The default password is `password`. `groot` is part of a special group called `guardians`. Members of `guardians` group will have access to everything. You can add more users to this group if required. - -2) Create a regular user - -```graphql -mutation { - addUser(input: [{name: "alice", password: "newpassword"}]) { - user { - name - } - } -} -``` - -Now you should see the following output - -```json -{ - "data": { - "addUser": { - "user": [ - { - "name": "alice" - } - ] - } - } -} -``` - -3) Create a group - -```graphql -mutation { - addGroup(input: [{name: "dev"}]) { - group { - name - users { - name - } - } - } -} -``` - -Now you should see the following output - -```json -{ - "data": { - "addGroup": { - "group": [ - { - "name": "dev", - "users": [] - } - ] - } - } -} -``` - -4) Assign the user to the group -To assign the user `alice` to both the group `dev` and the group `sre`, the mutation should be - -```graphql -mutation { - updateUser(input: {filter: {name: {eq: "alice"}}, set: {groups: [{name: "dev"}, {name: "sre"}]}}) { - user { - name - groups { - name - } - } - } -} -``` - -5) Assign predicate permissions to the group - -```graphql -mutation { - updateGroup(input: {filter: {name: {eq: "dev"}}, set: {rules: [{predicate: "friend", permission: 7}]}}) { - group { - name - rules { - permission - predicate - } - } - } -} -``` -Here we assigned a permission rule for the friend predicate to the group. In case you have [reverse edges]({{< relref "query-language/index.md#reverse-edges" >}}), they have to be given the permission to the group as well -```graphql -mutation { - updateGroup(input: {filter: {name: {eq: "dev"}}, set: {rules: [{predicate: "~friend", permission: 7}]}}) { - group { - name - rules { - permission - predicate - } - } - } -} -``` -You can also resolve this by using the `dgraph acl` tool -``` -dgraph acl -a -w -x mod --group dev --pred ~friend --perm 7 -``` - -The command above grants the `dev` group the `READ`+`WRITE`+`MODIFY` permission on the -`friend` predicate. Permissions are represented by a number following the UNIX file -permission convention. That is, 4 (binary 100) represents `READ`, 2 (binary 010) -represents `WRITE`, and 1 (binary 001) represents `MODIFY` (the permission to change a -predicate's schema). Similarly, permisson numbers can be bitwise OR-ed to represent -multiple permissions. For example, 7 (binary 111) represents all of `READ`, `WRITE` and -`MODIFY`. In order for the example in the next section to work, we also need to grant -full permissions on another predicate `name` to the group `dev`. If there are no rules for -a predicate, the default behavior is to block all (`READ`, `WRITE` and `MODIFY`) operations. - -```graphql -mutation { - updateGroup(input: {filter: {name: {eq: "dev"}}, set: {rules: [{predicate: "name", permission: 7}]}}) { - group { - name - rules { - permission - predicate - } - } - } -} -``` - -### Retrieve Users and Groups Information -{{% notice "note" %}} -All these queries require passing an `X-Dgraph-AccessToken` header, value for which can be obtained after logging in. -{{% /notice %}} -The following examples show how to retrieve information about users and groups. - -#### Using a GraphQL tool - -1) Check information about a user - -```graphql -query { - getUser(name: "alice") { - name - groups { - name - } - } -} -``` - -and the output should show the groups that the user has been added to, e.g. - -```json -{ - "data": { - "getUser": { - "name": "alice", - "groups": [ - { - "name": "dev" - } - ] - } - } -} -``` - -2) Check information about a group - -```graphql -{ - getGroup(name: "dev") { - name - users { - name - } - rules { - permission - predicate - } - } -} -``` - -and the output should include the users in the group, as well as the permissions, the -group's ACL rules, e.g. - -```json -{ - "data": { - "getGroup": { - "name": "dev", - "users": [ - { - "name": "alice" - } - ], - "rules": [ - { - "permission": 7, - "predicate": "friend" - }, - { - "permission": 7, - "predicate": "name" - } - ] - } - } -} -``` - -3) Query for users - -```graphql -query { - queryUser(filter: {name: {eq: "alice"}}) { - name - groups { - name - } - } -} -``` - -and the output should show the groups that the user has been added to, e.g. - -```json -{ - "data": { - "queryUser": [ - { - "name": "alice", - "groups": [ - { - "name": "dev" - } - ] - } - ] - } -} -``` - -4) Query for groups - -```graphql -query { - queryGroup(filter: {name: {eq: "dev"}}) { - name - users { - name - } - rules { - permission - predicate - } - } -} -``` - -and the output should include the users in the group, as well as the permissions the -group's ACL rules, e.g. - -```json -{ - "data": { - "queryGroup": [ - { - "name": "dev", - "users": [ - { - "name": "alice" - } - ], - "rules": [ - { - "permission": 7, - "predicate": "friend" - }, - { - "permission": 7, - "predicate": "name" - } - ] - } - ] - } -} -``` - -5) Run ACL commands as another guardian (member of `guardians` group). - -You can also run ACL commands with other users. Say we have a user `alice` which is member -of `guardians` group and its password is `simple_alice`. - -### Access Data Using a Client - -Now that the ACL data are set, to access the data protected by ACL rules, we need to -first log in through a user. This is tyically done via the client's `.login(USER_ID, USER_PASSWORD)` method. - -A sample code using the dgo client can be found -[here](https://github.com/dgraph-io/dgraph/blob/master/tlstest/acl/acl_over_tls_test.go). An example using -dgraph4j can be found [here](https://github.com/dgraph-io/dgraph4j/blob/master/src/test/java/io/dgraph/AclTest.java). - -### Access Data Using the GraphQL API - -Dgraph's HTTP API also supports authenticated operations to access ACL-protected -data. - -To login, send a POST request to `/admin` with the GraphQL mutation. For example, to log in as the root user groot: - -```graphql -mutation { - login(userId: "groot", password: "password") { - response { - accessJWT - refreshJWT - } - } -} -``` - -Response: - -```json -{ - "data": { - "accessJWT": "", - "refreshJWT": "" - } -} -``` - -The response includes the access and refresh JWTs which are used for the authentication itself and refreshing the authentication token, respectively. Save the JWTs from the response for later HTTP requests. - -You can run authenticated requests by passing the accessJWT to a request via the `X-Dgraph-AccessToken` header. Add the header `X-Dgraph-AccessToken` with the `accessJWT` value which you got in the login response in the GraphQL tool which you're using to make the request. For example: - -```graphql -mutation { - addUser(input: [{name: "alice", password: "newpassword"}]) { - user { - name - } - } -} -``` - -The refresh token can be used in the `/admin` POST GraphQL mutation to receive new access and refresh JWTs, which is useful to renew the authenticated session once the ACL access TTL expires (controlled by Dgraph Alpha's flag `--acl_access_ttl` which is set to 6h0m0s by default). - -```graphql -mutation { - login(userId: "groot", password: "newpassword", refreshToken: "") { - response { - accessJWT - refreshJWT - } - } -} -``` - -### Reset Groot Password - -If you've forgotten the password to your groot user, then you may reset the groot password (or -the password for any user) by following these steps. - -1. Stop Dgraph Alpha. -2. Turn off ACLs by removing the `--acl_hmac_secret` config flag in the Alpha config. This leaves - the Alpha open with no ACL rules, so be sure to restrict access, including stopping request - traffic to this Alpha. -3. Start Dgraph Alpha. -4. Connect to Dgraph Alpha using Ratel and run the following upsert mutation to update the groot password - to `newpassword` (choose your own secure password): - ```text - upsert { - query { - groot as var(func: eq(dgraph.xid, "groot")) - } - mutation { - set { - uid(groot) "newpassword" . - } - } - } - ``` -5. Restart Dgraph Alpha with ACLs turned on by setting the `--acl_hmac_secret` config flag. -6. Login as groot with your new password. - -## Encryption at Rest - -{{% notice "note" %}} -This feature was introduced in [v1.1.1](https://github.com/dgraph-io/dgraph/releases/tag/v1.1.1). -For migrating unencrypted data to a new Dgraph cluster with encryption enabled, you need to -[export the database](https://dgraph.io/docs/deploy/#exporting-database) and [fast data load](https://dgraph.io/docs/deploy/#fast-data-loading), -preferably using the [bulk loader](https://dgraph.io/docs/deploy/#bulk-loader). -{{% /notice %}} - -Encryption at rest refers to the encryption of data that is stored physically in any -digital form. It ensures that sensitive data on disks is not readable by any user -or application without a valid key that is required for decryption. Dgraph provides -encryption at rest as an enterprise feature. If encryption is enabled, Dgraph uses -[Advanced Encryption Standard (AES)](https://en.wikipedia.org/wiki/Advanced_Encryption_Standard) -algorithm to encrypt the data and secure it. - -### Set up Encryption - -To enable encryption, we need to pass a file that stores the data encryption key with the option -`--encryption_key_file`. The key size must be 16, 24, or 32 bytes long, and the key size determines -the corresponding block size for AES encryption ,i.e. AES-128, AES-192, and AES-256, respectively. - -You can use the following command to create the encryption key file (set _count_ to the -desired key size): - -``` -dd if=/dev/random bs=1 count=32 of=enc_key_file -``` - -### Turn on Encryption - -Here is an example that starts one Zero server and one Alpha server with the encryption feature turned on: - -```bash -dgraph zero --my=localhost:5080 --replicas 1 --idx 1 -dgraph alpha --encryption_key_file ./enc_key_file --my=localhost:7080 --lru_mb=1024 --zero=localhost:5080 -``` - -If multiple Alpha nodes are part of the cluster, you will need to pass the `--encryption_key_file` option to -each of the Alphas. - -Once an Alpha has encryption enabled, the encryption key must be provided in order to start the Alpha server. -If the Alpha server restarts, the `--encryption_key_file` option must be set along with the key in order to -restart successfully. - -### Turn off Encryption - -If you wish to turn off encryption from an existing Alpha, then you can export your data and import it -into a new Dgraph instance without encryption enabled. - -### Change Encryption Key - -The master encryption key set by the `--encryption_key_file` option does not change automatically. The master -encryption key encrypts underlying *data keys* which are changed on a regular basis automatically (more info -about this is covered on the encryption-at-rest [blog][encblog] post). - -[encblog]: https://dgraph.io/blog/post/encryption-at-rest-dgraph-badger#one-key-to-rule-them-all-many-keys-to-find-them - -Changing the existing key to a new one is called key rotation. You can rotate the master encryption key by -using the `badger rotate` command on both p and w directories for each Alpha. To maintain availability in HA -cluster configurations, you can do this rotate the key one Alpha at a time in a rolling manner. - -You'll need both the current key and the new key in two different files. Specify the directory you -rotate ("p" or "w") for the `--dir` flag, the old key for the `--old-key-path` flag, and the new key with the -`--new-key-path` flag. - -``` -badger rotate --dir p --old-key-path enc_key_file --new-key-path new_enc_key_file -badger rotate --dir w --old-key-path enc_key_file --new-key-path new_enc_key_file -``` - -Then, you can start Alpha with the `new_enc_key_file` key file to use the new key. diff --git a/wiki/content/enterprise-features/license.md b/wiki/content/enterprise-features/license.md new file mode 100644 index 00000000000..64610227775 --- /dev/null +++ b/wiki/content/enterprise-features/license.md @@ -0,0 +1,40 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "License" +[menu.main] + parent = "enterprise-features" + weight = 4 ++++ + +Dgraph enterprise features are proprietary licensed under the [Dgraph Community +License][dcl]. All Dgraph releases contain proprietary code for enterprise features. +Enabling these features requires an enterprise contract from +[contact@dgraph.io](mailto:contact@dgraph.io) or the [discuss +forum](https://discuss.dgraph.io). + +**Dgraph enterprise features are enabled by default for 30 days in a new cluster**. +After the trial period of thirty (30) days, the cluster must obtain a license from Dgraph to +continue using the enterprise features released in the proprietary code. + +{{% notice "note" %}} +At the conclusion of your 30-day trial period if a license has not been applied to the cluster, +access to the enterprise features will be suspended. The cluster will continue to operate without +enterprise features. +{{% /notice %}} + +When you have an enterprise license key, the license can be applied to the cluster by including it +as the body of a POST request and calling `/enterpriseLicense` HTTP endpoint on any Zero server. + +```sh +curl -X POST localhost:6080/enterpriseLicense --upload-file ./licensekey.txt +``` + +It can also be applied by passing the path to the enterprise license file (using the flag +`--enterprise_license`) to the `dgraph zero` command used to start the server. The second option is +useful when the process needs to be automated. + +```sh +dgraph zero --enterprise_license ./licensekey.txt +``` + +[dcl]: https://github.com/dgraph-io/dgraph/blob/master/licenses/DCL.txt \ No newline at end of file diff --git a/wiki/content/faq/_index.md b/wiki/content/faq/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/faq/index.md b/wiki/content/faq/index.md index 860e50456cc..221649a33f5 100644 --- a/wiki/content/faq/index.md +++ b/wiki/content/faq/index.md @@ -1,6 +1,10 @@ +++ date = "2017-03-20T19:35:35+11:00" title = "FAQ" +[menu.main] + url = "/faq/" + identifier = "faq" + weight = 10 +++ ## General @@ -54,7 +58,7 @@ No. Dgraph stores and handles data natively to ensure it has complete control ov ## Languages and Features ### Does Dgraph support GraphQL? -Dgraph started with the aim to fully support GraphQL. However, as our experience with the language grew, we started hitting the seams. It couldn't support many of the features required from a language meant to interact with Graph data, and we felt some of the features were unnecessary and complicated. So, we've created a simplified and feature rich version of GraphQL. For lack of better name, we're calling GraphQL+-. You can [read more about it here]({{< relref "query-language/index.md" >}}). +Dgraph started with the aim to fully support GraphQL. However, as our experience with the language grew, we started hitting the seams. It couldn't support many of the features required from a language meant to interact with Graph data, and we felt some of the features were unnecessary and complicated. So, we've created a simplified and feature rich version of GraphQL. For lack of better name, we're calling GraphQL+-. You can [read more about it here]({{< relref "query-language/_index.md" >}}). ### When is Dgraph going to support Gremlin? Dgraph will aim to support [Gremlin](https://github.com/tinkerpop/gremlin/wiki) after v1.0. However, this is not set in stone. If our community wants Gremlin support to interact with other frameworks, like Tinkerpop, we can look into supporting it earlier. diff --git a/wiki/content/get-started/_index.md b/wiki/content/get-started/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/get-started/index.md b/wiki/content/get-started/index.md index dee452480da..a496d02629e 100644 --- a/wiki/content/get-started/index.md +++ b/wiki/content/get-started/index.md @@ -1,6 +1,11 @@ +++ title = "Get Started - Quickstart Guide" aliases = ["/get-started-old"] +[menu.main] + url = "/get-started" + name = "Get Started" + identifier = "get-started" + weight = 2 +++ {{% notice "note" %}} @@ -286,12 +291,12 @@ data, set a schema and queried that data back. ## Where to go from here -- Go to [Clients]({{< relref "clients/index.md" >}}) to see how to +- Go to [Clients]({{< relref "clients/_index.md" >}}) to see how to communicate with Dgraph from your application. - Take the [Tour](https://dgraph.io/tour/) for a guided tour of how to write queries in Dgraph. - A wider range of queries can also be found in the -[Query Language]({{< relref "query-language/index.md" >}}) reference. -- See [Deploy]({{< relref "deploy/index.md" >}}) if you wish to run Dgraph +[Query Language]({{< relref "query-language/_index.md" >}}) reference. +- See [Deploy]({{< relref "deploy/_index.md" >}}) if you wish to run Dgraph in a cluster. ## Need Help diff --git a/wiki/content/howto/_index.md b/wiki/content/howto/_index.md index e69de29bb2d..af02df08b27 100644 --- a/wiki/content/howto/_index.md +++ b/wiki/content/howto/_index.md @@ -0,0 +1,8 @@ ++++ +date = "2017-03-20T19:35:35+11:00" +title = "How To Guides" +[menu.main] + url = "/howto/" + identifier = "howto" + weight = 11 ++++ \ No newline at end of file diff --git a/wiki/content/howto/dgraph-sentry-integration.md b/wiki/content/howto/dgraph-sentry-integration.md new file mode 100644 index 00000000000..c58dce751c4 --- /dev/null +++ b/wiki/content/howto/dgraph-sentry-integration.md @@ -0,0 +1,63 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Using the Dgraph Sentry Integration" +[menu.main] + parent = "howto" + weight = 3 ++++ + +Sentry is a powerful service that allows applications to send arbitrary events, messages, exceptions, bread-crumbs (logs) to your sentry account. In simplest terms, it is a dial-home service but also has a rich feature set including event filtering, data scrubbing, several SDKs, custom and release tagging, as well as integration with 3rd party tools such as Slack, GitHub. + +Although Sentry reporting is on by default, starting from v20.03.1 and v20.07.0, there is a configuration flag `enable-sentry` which can be used to completely turn off Sentry events reporting. + +## Basic Integration + +**Panics (runtime and manual)** + +* As of now, at Dgraph, we use Sentry reporting for capturing panics only. For manual panics anywhere in the code, sentry.CaptureException() API is called. + +* For runtime panics, Sentry does not have any native method. After further research, we chose the approach of a wrapper process to capture these panics. The basic idea for this is that whenever a dgraph instance is started, a 2nd monitoring process is started whose only job is to monitor the stderr for panics of the monitored process. When a panic is seen, it is reported back to sentry via the CaptureException API. + +**Reporting** + +Each event is tagged with the release version, environment, timestamp, tags and the panic backtrace as explained below. +**Release:** + + - This is the release version string of the Dgraph instance. + +**Environments:** + +We have defined 4 environments: + +**dev-oss / dev-enterprise**: These are events seen on non-released / local developer builds. + +**prod-oss/prod-enterprise**: These are events on released version such as v20.03.0. Events in this category are also sent on a slack channel private to Dgraph + +**Tags:** + +Tags are key-value pairs that provide additional context for an event. We have defined the following tags: + +`dgraph`: This tag can have values “zero” or “alpha” depending on which sub-command saw the panic/exception. + +## Data Handling + +We strive to handle your data with care in a variety of ways when sending events to Sentry + +1. **Event Selection:** As of now, only panic events are sent to Sentry from Dgraph. +2. **Data in Transit:** Events sent from the SDK to the Sentry server are encrypted on the wire with industry-standard TLS protocol with 256 bit AES Cipher. +3. **Data at rest:** Events on the Sentry server are also encrypted with 256 bit AES cipher. Sentry is hosted on GCP and as such physical access is tightly controlled. Logical access is only available to sentry approved officials. +4. **Data Retention:** Sentry stores events only for 90 days after which they are removed permanently. +5. **Data Scrubbing**: The Data Scrcubber option (default: on) in Sentry’s settings ensures PII doesn’t get sent to or stored on Sentry’s servers, automatically removing any values that look like they contain sensitive information for values that contain various strings. The strings we currently monitor and scrub are: + +- `password` +- `secret` +- `passwd` +- `api_key` +- `apikey` +- `access_token` +- `auth_token` +- `credentials` +- `mysql_pwd` +- `stripetoken` +- `card[number]` +- `ip addresses` \ No newline at end of file diff --git a/wiki/content/howto/giving-nodes-type.md b/wiki/content/howto/giving-nodes-type.md new file mode 100644 index 00000000000..426b26abc6e --- /dev/null +++ b/wiki/content/howto/giving-nodes-type.md @@ -0,0 +1,10 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Giving Nodes a Type" +[menu.main] + parent = "howto" + weight = 5 ++++ + +It's often useful to give the nodes in a graph *types* (also commonly referred +to as *labels* or *kinds*). You can do so using the [type system]({{< relref "query-language/type-system.md" >}}). \ No newline at end of file diff --git a/wiki/content/howto/index.md b/wiki/content/howto/index.md deleted file mode 100644 index ab6a69356ea..00000000000 --- a/wiki/content/howto/index.md +++ /dev/null @@ -1,1048 +0,0 @@ -+++ -date = "2017-03-20T19:35:35+11:00" -title = "How To Guides" -+++ - -## Retrieving Debug Information - -Each Dgraph data node exposes profile over `/debug/pprof` endpoint and metrics over `/debug/vars` endpoint. Each Dgraph data node has it's own profiling and metrics information. Below is a list of debugging information exposed by Dgraph and the corresponding commands to retrieve them. - -### Metrics Information - -If you are collecting these metrics from outside the Dgraph instance you need to pass `--expose_trace=true` flag, otherwise there metrics can be collected by connecting to the instance over localhost. - -``` -curl http://:/debug/vars -``` - -Metrics can also be retrieved in the Prometheus format at `/debug/prometheus_metrics`. See the [Metrics]({{< relref "deploy/index.md#metrics" >}}) section for the full list of metrics. - -### Profiling Information - -Profiling information is available via the `go tool pprof` profiling tool built into Go. The ["Profiling Go programs"](https://blog.golang.org/profiling-go-programs) Go blog post will help you get started with using pprof. Each Dgraph Zero and Dgraph Alpha exposes a debug endpoint at `/debug/pprof/` via the HTTP port. - -``` -go tool pprof http://:/debug/pprof/heap -#Fetching profile from ... -#Saved Profile in ... -``` -The output of the command would show the location where the profile is stored. - -In the interactive pprof shell, you can use commands like `top` to get a listing of the top functions in the profile, `web` to get a visual graph of the profile opened in a web browser, or `list` to display a code listing with profiling information overlaid. - -#### CPU Profile - -``` -go tool pprof http://:/debug/pprof/profile -``` - -#### Memory Profile - -``` -go tool pprof http://:/debug/pprof/heap -``` - -#### Block Profile - -Dgraph by default doesn't collect the block profile. Dgraph must be started with `--profile_mode=block` and `--block_rate=` with N > 1. - -``` -go tool pprof http://:/debug/pprof/block -``` - -#### Goroutine stack - -The HTTP page `/debug/pprof/` is available at the HTTP port of a Dgraph Zero or Dgraph Alpha. From this page a link to the "full goroutine stack dump" is available (e.g., on a Dgraph Alpha this page would be at `http://localhost:8080/debug/pprof/goroutine?debug=2`). Looking at the full goroutine stack can be useful to understand goroutine usage at that moment. - -## Using the Debug Tool - -{{% notice "note" %}} -To debug a running Dgraph cluster, first copy the postings ("p") directory to -another location. If the Dgraph cluster is not running, then you can use the -same postings directory with the debug tool. - -If the “p” directory has been encrypted, then the debug tool will need to use the --keyfile option. This file must contain the same key that was used to encrypt the “p” directory. -{{% /notice %}} - -The `dgraph debug` tool can be used to inspect Dgraph's posting list structure. -You can use the debug tool to inspect the data, schema, and indices of your -Dgraph cluster. - -Some scenarios where the debug tool is useful: - -- Verify that mutations committed to Dgraph have been persisted to disk. -- Verify that indices are created. -- Inspect the history of a posting list. - -### Example Usage - -Debug the p directory. - -```sh -$ dgraph debug --postings ./p -``` - -Debug the p directory, not opening in read-only mode. This is typically necessary when the database was not closed properly. - -```sh -$ dgraph debug --postings ./p --readonly=false -``` - -Debug the p directory, only outputing the keys for the predicate `name`. - -```sh -$ dgraph debug --postings ./p --readonly=false --pred=name -``` - -Debug the p directory, looking up a particular key: - -```sh -$ dgraph debug --postings ./p --lookup 00000b6465736372697074696f6e020866617374 -``` - -Debug the p directory, inspecting the history of a particular key: - -```sh -$ dgraph debug --postings ./p --lookup 00000b6465736372697074696f6e020866617374 --history -``` - -Debug an encrypted p directory with the key in a local file at the path ./key_file: - -```sh -$ dgraph debug --postings ./p --keyfile ./key_file -``` - - -{{% notice "note" %}} -The key file contains the key used to decrypt/encrypt the db. This key should be kept secret. As a best practice, - -- Do not store the key file on the disk permanently. Back it up in a safe place and delete it after using it with the debug tool. - -- If the above is not possible, make sure correct privileges are set on the keyfile. Only the user who owns the dgraph process should be able to read / write the key file: `chmod 600` -{{% /notice %}} - -### Debug Tool Output - -Let's go over an example with a Dgraph cluster with the following schema with a term index, full-text index, and two separately committed mutations: - -```sh -$ curl localhost:8080/alter -d ' - name: string @index(term) . - url: string . - description: string @index(fulltext) . -' -``` - -```sh -$ curl -H "Content-Type: application/rdf" localhost:8080/mutate?commitNow=true -d '{ - set { - _:dgraph "Dgraph" . - _:dgraph "Software" . - _:dgraph "https://github.com/dgraph-io/dgraph" . - _:dgraph "Fast, Transactional, Distributed Graph Database." . - } -}' -``` - -```sh -$ curl -H "Content-Type: application/rdf" localhost:8080/mutate?commitNow=true -d '{ - set { - _:badger "Badger" . - _:badger "Software" . - _:badger "https://github.com/dgraph-io/badger" . - _:badger "Embeddable, persistent and fast key-value (KV) database written in pure Go." . - } -}' -``` - -After stopping Dgraph, you can run the debug tool to inspect the postings directory: - -{{% notice "note" %}} -The debug output can be very large. Typically you would redirect the debug tool to a file first for easier analysis. -{{% /notice %}} - -```sh -$ dgraph debug --postings ./p -``` - -```text -Opening DB: ./p -Min commit: 1. Max commit: 5, w.r.t 18446744073709551615 -prefix = -{d} {v.ok} attr: url uid: 1 key: 00000375726c000000000000000001 item: [71, b0100] ts: 3 -{d} {v.ok} attr: url uid: 2 key: 00000375726c000000000000000002 item: [71, b0100] ts: 5 -{d} {v.ok} attr: name uid: 1 key: 0000046e616d65000000000000000001 item: [43, b0100] ts: 3 -{d} {v.ok} attr: name uid: 2 key: 0000046e616d65000000000000000002 item: [43, b0100] ts: 5 -{i} {v.ok} attr: name term: [1] badger key: 0000046e616d650201626164676572 item: [30, b0100] ts: 5 -{i} {v.ok} attr: name term: [1] dgraph key: 0000046e616d650201646772617068 item: [30, b0100] ts: 3 -{d} {v.ok} attr: _predicate_ uid: 1 key: 00000b5f7072656469636174655f000000000000000001 item: [104, b0100] ts: 3 -{d} {v.ok} attr: _predicate_ uid: 2 key: 00000b5f7072656469636174655f000000000000000002 item: [104, b0100] ts: 5 -{d} {v.ok} attr: description uid: 1 key: 00000b6465736372697074696f6e000000000000000001 item: [92, b0100] ts: 3 -{d} {v.ok} attr: description uid: 2 key: 00000b6465736372697074696f6e000000000000000002 item: [119, b0100] ts: 5 -{i} {v.ok} attr: description term: [8] databas key: 00000b6465736372697074696f6e020864617461626173 item: [38, b0100] ts: 5 -{i} {v.ok} attr: description term: [8] distribut key: 00000b6465736372697074696f6e0208646973747269627574 item: [40, b0100] ts: 3 -{i} {v.ok} attr: description term: [8] embedd key: 00000b6465736372697074696f6e0208656d62656464 item: [37, b0100] ts: 5 -{i} {v.ok} attr: description term: [8] fast key: 00000b6465736372697074696f6e020866617374 item: [35, b0100] ts: 5 -{i} {v.ok} attr: description term: [8] go key: 00000b6465736372697074696f6e0208676f item: [33, b0100] ts: 5 -{i} {v.ok} attr: description term: [8] graph key: 00000b6465736372697074696f6e02086772617068 item: [36, b0100] ts: 3 -{i} {v.ok} attr: description term: [8] kei key: 00000b6465736372697074696f6e02086b6569 item: [34, b0100] ts: 5 -{i} {v.ok} attr: description term: [8] kv key: 00000b6465736372697074696f6e02086b76 item: [33, b0100] ts: 5 -{i} {v.ok} attr: description term: [8] persist key: 00000b6465736372697074696f6e020870657273697374 item: [38, b0100] ts: 5 -{i} {v.ok} attr: description term: [8] pure key: 00000b6465736372697074696f6e020870757265 item: [35, b0100] ts: 5 -{i} {v.ok} attr: description term: [8] transact key: 00000b6465736372697074696f6e02087472616e73616374 item: [39, b0100] ts: 3 -{i} {v.ok} attr: description term: [8] valu key: 00000b6465736372697074696f6e020876616c75 item: [35, b0100] ts: 5 -{i} {v.ok} attr: description term: [8] written key: 00000b6465736372697074696f6e02087772697474656e item: [38, b0100] ts: 5 -{s} {v.ok} attr: url key: 01000375726c item: [13, b0001] ts: 1 -{s} {v.ok} attr: name key: 0100046e616d65 item: [23, b0001] ts: 1 -{s} {v.ok} attr: _predicate_ key: 01000b5f7072656469636174655f item: [31, b0001] ts: 1 -{s} {v.ok} attr: description key: 01000b6465736372697074696f6e item: [41, b0001] ts: 1 -{s} {v.ok} attr: dgraph.type key: 01000b6467726170682e74797065 item: [40, b0001] ts: 1 -Found 28 keys -``` - -Each line in the debug output contains a prefix indicating the type of the key: `{d}`: Data key; `{i}`: Index key; `{c}`: Count key; `{r}`: Reverse key; `{s}`: Schema key. In the debug output above, we see data keys, index keys, and schema keys. - -Each index key has a corresponding index type. For example, in `attr: name term: [1] dgraph` the `[1]` shows that this is the term index ([0x1][tok_term]); in `attr: description term: [8] fast`, the `[8]` shows that this is the full-text index ([0x8][tok_fulltext]). These IDs match the index IDs in [tok.go][tok]. - -[tok_term]: https://github.com/dgraph-io/dgraph/blob/ce82aaafba3d9e57cf5ea1aeb9b637193441e1e2/tok/tok.go#L39 -[tok_fulltext]: https://github.com/dgraph-io/dgraph/blob/ce82aaafba3d9e57cf5ea1aeb9b637193441e1e2/tok/tok.go#L48 -[tok]: https://github.com/dgraph-io/dgraph/blob/ce82aaafba3d9e57cf5ea1aeb9b637193441e1e2/tok/tok.go#L37-L53 - -### Key Lookup - -Every key can be inspected further with the `--lookup` flag for the specific key. - -```sh -$ dgraph debug --postings ./p --lookup 00000b6465736372697074696f6e020866617374 -``` - -```text -Opening DB: ./p -Min commit: 1. Max commit: 5, w.r.t 18446744073709551615 - Key: 00000b6465736372697074696f6e0208676f Length: 2 - Uid: 1 Op: 1 - Uid: 2 Op: 1 -``` - -For data keys, a lookup shows its type and value. Below, we see that the key for `attr: url uid: 1` is a string value. - -```sh -$ dgraph debug --postings ./p --lookup 00000375726c000000000000000001 -``` - -```text -Opening DB: ./p -Min commit: 1. Max commit: 5, w.r.t 18446744073709551615 - Key: 0000046e616d65000000000000000001 Length: 1 - Uid: 18446744073709551615 Op: 1 Type: STRING. String Value: "https://github.com/dgraph-io/dgraph" -``` - -For index keys, a lookup shows the UIDs that are part of this index. Below, we see that the `fast` index for the `` predicate has UIDs 0x1 and 0x2. - -```sh -$ dgraph debug --postings ./p --lookup 00000b6465736372697074696f6e020866617374 -``` - -```text -Opening DB: ./p -Min commit: 1. Max commit: 5, w.r.t 18446744073709551615 - Key: 00000b6465736372697074696f6e0208676f Length: 2 - Uid: 1 Op: 1 - Uid: 2 Op: 1 -``` - -### Key History - -You can also look up the history of values for a key using the `--history` option. - -```sh -$ dgraph debug --postings ./p --lookup 00000b6465736372697074696f6e020866617374 --history -``` -```text -Opening DB: ./p -Min commit: 1. Max commit: 5, w.r.t 18446744073709551615 -==> key: 00000b6465736372697074696f6e020866617374. PK: &{byteType:2 Attr:description Uid:0 Termfast Count:0 bytePrefix:0} -ts: 5 {item}{delta} - Uid: 2 Op: 1 - -ts: 3 {item}{delta} - Uid: 1 Op: 1 -``` - -Above, we see that UID 0x1 was committed to this index at ts 3, and UID 0x2 was committed to this index at ts 5. - -The debug output also shows UserMeta information: - -- `{complete}`: Complete posting list -- `{uid}`: UID posting list -- `{delta}`: Delta posting list -- `{empty}`: Empty posting list -- `{item}`: Item posting list -- `{deleted}`: Delete marker - -## Using the Dgraph Sentry Integration - -Sentry is a powerful service that allows applications to send arbitrary events, messages, exceptions, bread-crumbs (logs) to your sentry account. In simplest terms, it is a dial-home service but also has a rich feature set including event filtering, data scrubbing, several SDKs, custom and release tagging, as well as integration with 3rd party tools such as Slack, GitHub. - -Although Sentry reporting is on by default, starting from v20.03.1 and v20.07.0, there is a configuration flag `enable-sentry` which can be used to completely turn off Sentry events reporting. - -### Basic Integration - -**Panics (runtime and manual)** - -* As of now, at Dgraph, we use Sentry reporting for capturing panics only. For manual panics anywhere in the code, sentry.CaptureException() API is called. - -* For runtime panics, Sentry does not have any native method. After further research, we chose the approach of a wrapper process to capture these panics. The basic idea for this is that whenever a dgraph instance is started, a 2nd monitoring process is started whose only job is to monitor the stderr for panics of the monitored process. When a panic is seen, it is reported back to sentry via the CaptureException API. - -**Reporting** - -Each event is tagged with the release version, environment, timestamp, tags and the panic backtrace as explained below. -**Release:** - - - This is the release version string of the Dgraph instance. - -**Environments:** - -We have defined 4 environments: - -**dev-oss / dev-enterprise**: These are events seen on non-released / local developer builds. - -**prod-oss/prod-enterprise**: These are events on released version such as v20.03.0. Events in this category are also sent on a slack channel private to Dgraph - -**Tags:** - -Tags are key-value pairs that provide additional context for an event. We have defined the following tags: - -`dgraph`: This tag can have values “zero” or “alpha” depending on which sub-command saw the panic/exception. - -### Data Handling - -We strive to handle your data with care in a variety of ways when sending events to Sentry - -1. **Event Selection:** As of now, only panic events are sent to Sentry from Dgraph. -2. **Data in Transit:** Events sent from the SDK to the Sentry server are encrypted on the wire with industry-standard TLS protocol with 256 bit AES Cipher. -3. **Data at rest:** Events on the Sentry server are also encrypted with 256 bit AES cipher. Sentry is hosted on GCP and as such physical access is tightly controlled. Logical access is only available to sentry approved officials. -4. **Data Retention:** Sentry stores events only for 90 days after which they are removed permanently. -5. **Data Scrubbing**: The Data Scrcubber option (default: on) in Sentry’s settings ensures PII doesn’t get sent to or stored on Sentry’s servers, automatically removing any values that look like they contain sensitive information for values that contain various strings. The strings we currently monitor and scrub are: - -- `password` -- `secret` -- `passwd` -- `api_key` -- `apikey` -- `access_token` -- `auth_token` -- `credentials` -- `mysql_pwd` -- `stripetoken` -- `card[number]` -- `ip addresses` - -## Using the Increment Tool - -The `dgraph increment` tool increments a counter value transactionally. The -increment tool can be used as a health check that an Alpha is able to service -transactions for both queries and mutations. - -### Example Usage - -Increment the default predicate (`counter.val`) once. If the predicate doesn't yet -exist, then it will be created starting at counter 0. - -```sh -$ dgraph increment -``` - -Increment the counter predicate against the Alpha running at address `--alpha` (default: `localhost:9080`): - -```sh -$ dgraph increment --alpha=192.168.1.10:9080 -``` - -Increment the counter predicate specified by `--pred` (default: `counter.val`): - -```sh -$ dgraph increment --pred=counter.val.healthcheck -``` - -Run a read-only query for the counter predicate and does not run a mutation to increment it: - -```sh -$ dgraph increment --ro -``` - -Run a best-effort query for the counter predicate and does not run a mutation to increment it: - -```sh -$ dgraph increment --be -``` - -Run the increment tool 1000 times every 1 second: - -```sh -$ dgraph increment --num=1000 --wait=1s -``` - -### Increment Tool Output - -```sh -# Run increment a few times -$ dgraph increment -0410 10:31:16.379 Counter VAL: 1 [ Ts: 1 ] -$ dgraph increment -0410 10:34:53.017 Counter VAL: 2 [ Ts: 3 ] -$ dgraph increment -0410 10:34:53.648 Counter VAL: 3 [ Ts: 5 ] - -# Run read-only queries to read the counter a few times -$ dgraph increment --ro -0410 10:34:57.35 Counter VAL: 3 [ Ts: 7 ] -$ dgraph increment --ro -0410 10:34:57.886 Counter VAL: 3 [ Ts: 7 ] -$ dgraph increment --ro -0410 10:34:58.129 Counter VAL: 3 [ Ts: 7 ] - -# Run best-effort query to read the counter a few times -$ dgraph increment --be -0410 10:34:59.867 Counter VAL: 3 [ Ts: 7 ] -$ dgraph increment --be -0410 10:35:01.322 Counter VAL: 3 [ Ts: 7 ] -$ dgraph increment --be -0410 10:35:02.674 Counter VAL: 3 [ Ts: 7 ] - -# Run a read-only query to read the counter 5 times -$ dgraph increment --ro --num=5 -0410 10:35:18.812 Counter VAL: 3 [ Ts: 7 ] -0410 10:35:18.813 Counter VAL: 3 [ Ts: 7 ] -0410 10:35:18.815 Counter VAL: 3 [ Ts: 7 ] -0410 10:35:18.817 Counter VAL: 3 [ Ts: 7 ] -0410 10:35:18.818 Counter VAL: 3 [ Ts: 7 ] - -# Increment the counter 5 times -$ dgraph increment --num=5 -0410 10:35:24.028 Counter VAL: 4 [ Ts: 8 ] -0410 10:35:24.061 Counter VAL: 5 [ Ts: 10 ] -0410 10:35:24.104 Counter VAL: 6 [ Ts: 12 ] -0410 10:35:24.145 Counter VAL: 7 [ Ts: 14 ] -0410 10:35:24.178 Counter VAL: 8 [ Ts: 16 ] - -# Increment the counter 5 times, once every second. -$ dgraph increment --num=5 --wait=1s -0410 10:35:26.95 Counter VAL: 9 [ Ts: 18 ] -0410 10:35:27.975 Counter VAL: 10 [ Ts: 20 ] -0410 10:35:28.999 Counter VAL: 11 [ Ts: 22 ] -0410 10:35:30.028 Counter VAL: 12 [ Ts: 24 ] -0410 10:35:31.054 Counter VAL: 13 [ Ts: 26 ] - -# If the Alpha is too busy or unhealthy, the tool will timeout and retry. -$ dgraph increment -0410 10:36:50.857 While trying to process counter: Query error: rpc error: code = DeadlineExceeded desc = context deadline exceeded. Retrying... -``` - -## Giving Nodes a Type - -It's often useful to give the nodes in a graph *types* (also commonly referred -to as *labels* or *kinds*). You can do so using the [type system]({{< relref "query-language/index.md#type-system" >}}). - -## Loading CSV Data - -[Dgraph mutations]({{< relref "mutations/index.md" >}}) are accepted in RDF -N-Quad and JSON formats. To load CSV-formatted data into Dgraph, first convert -the dataset into one of the accepted formats and then load the resulting dataset -into Dgraph. This section demonstrates converting CSV into JSON. There are -many tools available to convert CSV to JSON. For example, you can use -[`d3-dsv`](https://github.com/d3/d3-dsv)'s `csv2json` tool as shown below: - -```csv -Name,URL -Dgraph,https://github.com/dgraph-io/dgraph -Badger,https://github.com/dgraph-io/badger -``` - -```sh -$ csv2json names.csv --out names.json -$ cat names.json | jq '.' -[ - { - "Name": "Dgraph", - "URL": "https://github.com/dgraph-io/dgraph" - }, - { - "Name": "Badger", - "URL": "https://github.com/dgraph-io/badger" - } -] -``` - -This JSON can be loaded into Dgraph via the programmatic clients. This follows -the [JSON Mutation Format]({{< relref "mutations#json-mutation-format" >}}). -Note that each JSON object in the list above will be assigned a unique UID since -the `uid` field is omitted. - -[The Ratel UI (and HTTP clients) expect JSON data to be stored within the `"set"` -key]({{< relref "mutations/index.md#json-syntax-using-raw-http-or-ratel-ui" ->}}). You can use `jq` to transform the JSON into the correct format: - -```sh -$ cat names.json | jq '{ set: . }' -``` -```json -{ - "set": [ - { - "Name": "Dgraph", - "URL": "https://github.com/dgraph-io/dgraph" - }, - { - "Name": "Badger", - "URL": "https://github.com/dgraph-io/badger" - } - ] -} -``` - -Let's say you have CSV data in a file named connects.csv that's connecting nodes -together. Here, the `connects` field should `uid` type. - -```csv -uid,connects -_:a,_:b -_:a,_:c -_:c,_:d -_:d,_:a -``` - -{{% notice "note" %}} -To reuse existing integer IDs from a CSV file as UIDs in Dgraph, use Dgraph Zero's [assign endpoint]({{< relref "deploy/index.md#more-about-dgraph-zero" >}}) before data loading to allocate a range of UIDs that can be safely assigned. -{{% /notice %}} - -To get the correct JSON format, you can convert the CSV into JSON and use `jq` -to transform it in the correct format where the `connects` edge is a node uid: - -```sh -$ csv2json connects.csv | jq '[ .[] | { uid: .uid, connects: { uid: .connects } } ]' -``` - -```json -[ - { - "uid": "_:a", - "connects": { - "uid": "_:b" - } - }, - { - "uid": "_:a", - "connects": { - "uid": "_:c" - } - }, - { - "uid": "_:c", - "connects": { - "uid": "_:d" - } - }, - { - "uid": "_:d", - "connects": { - "uid": "_:a" - } - } -] -``` - -You can modify the `jq` transformation to output the mutation format accepted by -Ratel UI and HTTP clients: - -```sh -$ csv2json connects.csv | jq '{ set: [ .[] | {uid: .uid, connects: { uid: .connects } } ] }' -``` -```json -{ - "set": [ - { - "uid": "_:a", - "connects": { - "uid": "_:b" - } - }, - { - "uid": "_:a", - "connects": { - "uid": "_:c" - } - }, - { - "uid": "_:c", - "connects": { - "uid": "_:d" - } - }, - { - "uid": "_:d", - "connects": { - "uid": "_:a" - } - } - ] -} -``` - -## A Simple Login System - -{{% notice "note" %}} -This example is based on part of the [transactions in -v0.9](https://blog.dgraph.io/post/v0.9/) blogpost. Error checking has been -omitted for brevity. -{{% /notice %}} - -Schema is assumed to be: -``` -// @upsert directive is important to detect conflicts. -email: string @index(exact) @upsert . # @index(hash) would also work -pass: password . -``` - -``` -// Create a new transaction. The deferred call to Discard -// ensures that server-side resources are cleaned up. -txn := client.NewTxn() -defer txn.Discard(ctx) - -// Create and execute a query to looks up an email and checks if the password -// matches. -q := fmt.Sprintf(` - { - login_attempt(func: eq(email, %q)) { - checkpwd(pass, %q) - } - } -`, email, pass) -resp, err := txn.Query(ctx, q) - -// Unmarshal the response into a struct. It will be empty if the email couldn't -// be found. Otherwise it will contain a bool to indicate if the password matched. -var login struct { - Account []struct { - Pass []struct { - CheckPwd bool `json:"checkpwd"` - } `json:"pass"` - } `json:"login_attempt"` -} -err = json.Unmarshal(resp.GetJson(), &login); err != nil { - -// Now perform the upsert logic. -if len(login.Account) == 0 { - fmt.Println("Account doesn't exist! Creating new account.") - mu := &protos.Mutation{ - SetJson: []byte(fmt.Sprintf(`{ "email": %q, "pass": %q }`, email, pass)), - } - _, err = txn.Mutate(ctx, mu) - // Commit the mutation, making it visible outside of the transaction. - err = txn.Commit(ctx) -} else if login.Account[0].Pass[0].CheckPwd { - fmt.Println("Login successful!") -} else { - fmt.Println("Wrong email or password.") -} -``` -## Load balancing queries with Nginx - -There might be times when you'll want to set up a load balancer to accomplish goals such as increasing the utilization of your database by sending queries from the app to multiple database server replicas. You can follow these steps to get started with that. - -### Download ZIP - -Download the contents of this gist's ZIP file and extract it to a directory called `graph-nginx` - -``` -mkdir dgraph-nginx -cd dgraph-nginx -wget -O dgraph-nginx.zip https://gist.github.com/danielmai/0cf7647b27c7626ad8944c4245a9981e/archive/5a2f1a49ca2f77bc39981749e4783e3443eb3ad9.zip -unzip -j dgraph-nginx.zip -``` -Two files will be created: `docker-compose.yml` and `nginx.conf`. - -### Start Dgraph cluster - -Start a 6-node Dgraph cluster (3 Dgraph Zero, 3 Dgraph Alpha, replication setting 3) by starting the Docker Compose config: - -``` -docker-compose up -``` -### Use the increment tool to start a gRPC LB - -In a different shell, run the `dgraph increment` [docs](https://dgraph.io/docs/howto/#using-the-increment-tool) tool against the Nginx gRPC load balancer (`nginx:9080`): - -``` -docker-compose exec alpha1 dgraph increment --alpha nginx:9080 --num=10 -``` -If you have `dgraph` installed on your host machine, then you can also run this from the host: - -``` -dgraph increment --alpha localhost:9080 --num=10 -``` -The increment tool uses the Dgraph Go client to establish a gRPC connection against the `--alpha` flag and transactionally increments a counter predicate `--num` times. - -### Check logs - -In the Nginx access logs (in the docker-compose up shell window), you'll see access logs like the following: - -{{% notice "note" %}} -It is important to take into account with gRPC load balancing that every request hits a different Alpha, potentially increasing read throughput. -{{% /notice %}} - -``` -nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.7:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.008 msec 1579057922.135 request_time 0.009 -nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.2:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.012 msec 1579057922.149 request_time 0.013 -nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.5:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.008 msec 1579057922.162 request_time 0.012 -nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.7:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.012 msec 1579057922.176 request_time 0.013 -nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.2:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.012 msec 1579057922.188 request_time 0.011 -nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.5:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.016 msec 1579057922.202 request_time 0.013 -``` -These logs show that traffic os being load balanced to the following upstream addresses defined in alpha_grpc in nginx.conf: - -- `nginx to: 172.20.0.7` -- `nginx to: 172.20.0.2` -- `nginx to: 172.20.0.5` - -By default, Nginx load balancing is done round-robin. - -## Upserts - -Upsert-style operations are operations where: - -1. A node is searched for, and then -2. Depending on if it is found or not, either: - - Updating some of its attributes, or - - Creating a new node with those attributes. - -The upsert has to be an atomic operation such that either a new node is -created, or an existing node is modified. It's not allowed that two concurrent -upserts both create a new node. - -There are many examples where upserts are useful. Most examples involve the -creation of a 1 to 1 mapping between two different entities. E.g. associating -email addresses with user accounts. - -Upserts are common in both traditional RDBMSs and newer NoSQL databases. -Dgraph is no exception. - -### Upsert Procedure - -In Dgraph, upsert-style behaviour can be implemented by users on top of -transactions. The steps are as follows: - -1. Create a new transaction. - -2. Query for the node. This will usually be as simple as `{ q(func: eq(email, - "bob@example.com")) { uid }}`. If a `uid` result is returned, then that's the -`uid` for the existing node. If no results are returned, then the user account -doesn't exist. - -3. In the case where the user account doesn't exist, then a new node has to be - created. This is done in the usual way by making a mutation (inside the -transaction), e.g. the RDF `_:newAccount "bob@example.com" .`. The -`uid` assigned can be accessed by looking up the blank node name `newAccount` -in the `Assigned` object returned from the mutation. - -4. Now that you have the `uid` of the account (either new or existing), you can - modify the account (using additional mutations) or perform queries on it in -whichever way you wish. - -### Upsert Block - -You can also use the `Upsert Block` to achieve the upsert procedure in a single - mutation. The request will contain both the query and the mutation as explained -[here]({{< relref "mutations/index.md#upsert-block" >}}). - -### Conflicts - -Upsert operations are intended to be run concurrently, as per the needs of the -application. As such, it's possible that two concurrently running operations -could try to add the same node at the same time. For example, both try to add a -user with the same email address. If they do, then one of the transactions will -fail with an error indicating that the transaction was aborted. - -If this happens, the transaction is rolled back and it's up to the user's -application logic to retry the whole operation. The transaction has to be -retried in its entirety, all the way from creating a new transaction. - -The choice of index placed on the predicate is important for performance. -**Hash is almost always the best choice of index for equality checking.** - -{{% notice "note" %}} -It's the _index_ that typically causes upsert conflicts to occur. The index is -stored as many key/value pairs, where each key is a combination of the -predicate name and some function of the predicate value (e.g. its hash for the -hash index). If two transactions modify the same key concurrently, then one -will fail. -{{% /notice %}} - -## Run Jepsen tests - -1. Clone the jepsen repo at [https://github.com/jepsen-io/jepsen](https://github.com/jepsen-io/jepsen). - -```sh -git clone git@github.com:jepsen-io/jepsen.git -``` - -2. Run the following command to setup the instances from the repo. - -```sh -cd docker && ./up.sh -``` - -This should start 5 jepsen nodes in docker containers. - -3. Now ssh into `jepsen-control` container and run the tests. - -{{% notice "note" %}} -You can use the [transfer](https://github.com/dgraph-io/dgraph/blob/master/contrib/nightly/transfer.sh) script to build the Dgraph binary and upload the tarball to https://transfer.sh, which gives you a url that can then be used in the Jepsen tests (using --package-url flag). -{{% /notice %}} - - - -```sh -docker exec -it jepsen-control bash -``` - -```sh -root@control:/jepsen# cd dgraph -root@control:/jepsen/dgraph# lein run test -w upsert - -# Specify a --package-url - -root@control:/jepsen/dgraph# lein run test --force-download --package-url https://github.com/dgraph-io/dgraph/releases/download/nightly/dgraph-linux-amd64.tar.gz -w upsert -``` - -## Migrate to Dgraph v1.1 - -### Schema types: scalar `uid` and list `[uid]` - -The semantics of predicates of type `uid` has changed in Dgraph 1.1. Whereas before all `uid` predicates implied a one-to-many relationship, now a one-to-one relationship or a one-to-many relationship can be expressed. - -``` -friend: [uid] . -best_friend: uid . -``` - -In the above, the predicate `friend` allows a one-to-many relationship (i.e a person can have more than one friend) and the predicate best_friend can be at most a one-to-one relationship. - -This syntactic meaning is consistent with the other types, e.g., `string` indicating a single-value string and `[string]` representing many strings. This change makes the `uid` type work similarly to other types. - -To migrate existing schemas from Dgraph v1.0 to Dgraph v1.1, update the schema file from an export so all predicates of type `uid` are changed to `[uid]`. Then use the updated schema when loading data into Dgraph v1.1. For example, for the following schema: - -```text -name: string . -friend: uid . -``` - -becomes - -```text -name: string . -friend: [uid] . -``` -### Type system - -The new [type system]({{< relref "query-language/index.md#type-system" >}}) introduced in Dgraph 1.1 should not affect migrating data from a previous version. However, a couple of features in the query language will not work as they did before: `expand()` and `_predicate_`. - -The reason is that the internal predicate that associated each node with its predicates (called `_predicate_`) has been removed. Instead, to get the predicates that belong to a node, the type system is used. - -#### `expand()` - -Expand queries will not work until the type system has been properly set up. For example, the following query will return an empty result in Dgraph 1.1 if the node 0xff has no type information. - -```text -{ - me(func: uid(0xff)) { - expand(_all_) - } -} -``` - -To make it work again, add a type definition via the alter endpoint. Let’s assume the node in the previous example represents a person. Then, the basic Person type could be defined as follows: - -```text -type Person { - name - age -} -``` - -After that, the node is associated with the type by adding the following RDF triple to Dgraph (using a mutation): - -```text -<0xff> "Person" . -``` - -After that, the results of the query in both Dgraph v1.0 and Dgraph v1.1 should be the same. - -#### `_predicate_` - -The other consequence of removing `_predicate_` is that it cannot be referenced explicitly in queries. In Dgraph 1.0, the following query returns the predicates of the node 0xff. - -```ql -{ - me(func: uid(0xff)) { - _predicate_ # NOT available in Dgraph v1.1 - } -} -``` - -**There’s no exact equivalent of this behavior in Dgraph 1.1**, but the information can be queried by first querying for the types associated with that node with the query - -```text -{ - me(func: uid(0xff)) { - dgraph.type - } -} -``` - -And then retrieving the definition of each type in the results using a schema query. - -```text -schema(type: Person) {} -``` - -### Live Loader and Bulk Loader command-line flags - -#### File input flags -In Dgraph v1.1, both the Dgraph Live Loader and Dgraph Bulk Loader tools support loading data in either RDF format or JSON format. To simplify the command-line interface for these tools, the `-r`/`--rdfs` flag has been removed in favor of `-f/--files`. The new flag accepts file or directory paths for either data format. By default, the tools will infer the file type based on the file suffix, e.g., `.rdf` and `.rdf.gz` or `.json` and `.json.gz` for RDF data or JSON data, respectively. To ignore the filenames and set the format explicitly, the `--format` flag can be set to `rdf` or `json`. - -Before (in Dgraph v1.0): - -```sh -dgraph live -r data.rdf.gz -``` - -Now (in Dgraph v1.1): - -```sh -dgraph live -f data.rdf.gz -``` - -#### Dgraph Alpha address flag -For Dgraph Live Loader, the flag to specify the Dgraph Alpha address (default: `127.0.0.1:9080`) has changed from `-d`/`--dgraph` to `-a`/`--alpha`. - -Before (in Dgraph v1.0): - -```sh -dgraph live -d 127.0.0.1:9080 -``` - -Now (in Dgraph v1.1): - -```sh -dgraph live -a 127.0.0.1:9080 -``` -### HTTP API - -For HTTP API users (e.g., Curl, Postman), the custom Dgraph headers have been removed in favor of standard HTTP headers and query parameters. - -#### Queries - -There are two accepted `Content-Type` headers for queries over HTTP: `application/graphql+-` or `application/json`. - -A `Content-Type` must be set to run a query. - -Before (in Dgraph v1.0): - -```sh -curl localhost:8080/query -d '{ - q(func: eq(name, "Dgraph")) { - name - } -}' -``` - -Now (in Dgraph v1.1): - -```sh -curl -H 'Content-Type: application/graphql+-' localhost:8080/query -d '{ - q(func: eq(name, "Dgraph")) { - name - } -}' -``` - -For queries using [GraphQL Variables]({{< relref "query-language/index.md#graphql-variables" >}}), the query must be sent via the `application/json` content type, with the query and variables sent in a JSON payload: - -Before (in Dgraph v1.0): - -```sh -curl -H 'X-Dgraph-Vars: {"$name": "Alice"}' localhost:8080/query -d 'query qWithVars($name: string) { - q(func: eq(name, $name)) { - name - } -} -``` - -Now (in Dgraph v1.1): - -```sh -curl -H 'Content-Type: application/json' localhost:8080/query -d '{ - "query": "query qWithVars($name: string) { q(func: eq(name, $name)) { name } }", - "variables": {"$name": "Alice"} -}' -``` - -#### Mutations - -There are two accepted Content-Type headers for mutations over HTTP: `Content-Type: application/rdf` or `Content-Type: application/json`. - -A `Content-Type` must be set to run a mutation. - -These Content-Type headers supercede the Dgraph v1.0.x custom header `X-Dgraph-MutationType` to set the mutation type as RDF or JSON. - -To commit the mutation immediately, use the query parameter `commitNow=true`. This replaces the custom header `X-Dgraph-CommitNow: true` from Dgraph v1.0.x. - -Before (in Dgraph v1.0) - -```sh -curl -H 'X-Dgraph-CommitNow: true' localhost:8080/mutate -d '{ - set { - _:n "Alice" . - _:n "Person" . - } -}' -``` - -Now (in Dgraph v1.1): - -```sh -curl -H 'Content-Type: application/rdf' localhost:8080/mutate?commitNow=true -d '{ - set { - _:n "Alice" . - _:n "Person" . - } -}' -``` - -For JSON mutations, set the `Content-Type` header to `application/json`. - -Before (in Dgraph v1.0): - -```sh -curl -H 'X-Dgraph-MutationType: json' -H "X-Dgraph-CommitNow: true" locahost:8080/mutate -d '{ - "set": [ - { - "name": "Alice" - } - ] -}' -``` - -Now (in Dgraph v1.1): - -```sh -curl -H 'Content-Type: application/json' locahost:8080/mutate?commitNow=true -d '{ - "set": [ - { - "name": "Alice" - } - ] -}' -``` diff --git a/wiki/content/howto/jepson-tests.md b/wiki/content/howto/jepson-tests.md new file mode 100644 index 00000000000..ee9ffc9d69a --- /dev/null +++ b/wiki/content/howto/jepson-tests.md @@ -0,0 +1,42 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Run Jepsen tests" +[menu.main] + parent = "howto" + weight = 10 ++++ + +1. Clone the jepsen repo at [https://github.com/jepsen-io/jepsen](https://github.com/jepsen-io/jepsen). + +```sh +git clone git@github.com:jepsen-io/jepsen.git +``` + +2. Run the following command to setup the instances from the repo. + +```sh +cd docker && ./up.sh +``` + +This should start 5 jepsen nodes in docker containers. + +3. Now ssh into `jepsen-control` container and run the tests. + +{{% notice "note" %}} +You can use the [transfer](https://github.com/dgraph-io/dgraph/blob/master/contrib/nightly/transfer.sh) script to build the Dgraph binary and upload the tarball to https://transfer.sh, which gives you a url that can then be used in the Jepsen tests (using --package-url flag). +{{% /notice %}} + + + +```sh +docker exec -it jepsen-control bash +``` + +```sh +root@control:/jepsen# cd dgraph +root@control:/jepsen/dgraph# lein run test -w upsert + +# Specify a --package-url + +root@control:/jepsen/dgraph# lein run test --force-download --package-url https://github.com/dgraph-io/dgraph/releases/download/nightly/dgraph-linux-amd64.tar.gz -w upsert +``` \ No newline at end of file diff --git a/wiki/content/howto/load-balancing-nginx.md b/wiki/content/howto/load-balancing-nginx.md new file mode 100644 index 00000000000..c88f42a8783 --- /dev/null +++ b/wiki/content/howto/load-balancing-nginx.md @@ -0,0 +1,66 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Load balancing queries with Nginx" +[menu.main] + parent = "howto" + weight = 8 ++++ + +There might be times when you'll want to set up a load balancer to accomplish goals such as increasing the utilization of your database by sending queries from the app to multiple database server replicas. You can follow these steps to get started with that. + +## Download ZIP + +Download the contents of this gist's ZIP file and extract it to a directory called `graph-nginx` + +``` +mkdir dgraph-nginx +cd dgraph-nginx +wget -O dgraph-nginx.zip https://gist.github.com/danielmai/0cf7647b27c7626ad8944c4245a9981e/archive/5a2f1a49ca2f77bc39981749e4783e3443eb3ad9.zip +unzip -j dgraph-nginx.zip +``` +Two files will be created: `docker-compose.yml` and `nginx.conf`. + +## Start Dgraph cluster + +Start a 6-node Dgraph cluster (3 Dgraph Zero, 3 Dgraph Alpha, replication setting 3) by starting the Docker Compose config: + +``` +docker-compose up +``` +## Use the increment tool to start a gRPC LB + +In a different shell, run the `dgraph increment` [docs](https://dgraph.io/docs/howto/#using-the-increment-tool) tool against the Nginx gRPC load balancer (`nginx:9080`): + +``` +docker-compose exec alpha1 dgraph increment --alpha nginx:9080 --num=10 +``` +If you have `dgraph` installed on your host machine, then you can also run this from the host: + +``` +dgraph increment --alpha localhost:9080 --num=10 +``` +The increment tool uses the Dgraph Go client to establish a gRPC connection against the `--alpha` flag and transactionally increments a counter predicate `--num` times. + +## Check logs + +In the Nginx access logs (in the docker-compose up shell window), you'll see access logs like the following: + +{{% notice "note" %}} +It is important to take into account with gRPC load balancing that every request hits a different Alpha, potentially increasing read throughput. +{{% /notice %}} + +``` +nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.7:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.008 msec 1579057922.135 request_time 0.009 +nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.2:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.012 msec 1579057922.149 request_time 0.013 +nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.5:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.008 msec 1579057922.162 request_time 0.012 +nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.7:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.012 msec 1579057922.176 request_time 0.013 +nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.2:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.012 msec 1579057922.188 request_time 0.011 +nginx_1 | [15/Jan/2020:03:12:02 +0000] 172.20.0.9 - - - nginx to: 172.20.0.5:9080: POST /api.Dgraph/Query HTTP/2.0 200 upstream_response_time 0.016 msec 1579057922.202 request_time 0.013 +``` +These logs show that traffic os being load balanced to the following upstream addresses defined in alpha_grpc in nginx.conf: + +- `nginx to: 172.20.0.7` +- `nginx to: 172.20.0.2` +- `nginx to: 172.20.0.5` + +By default, Nginx load balancing is done round-robin. \ No newline at end of file diff --git a/wiki/content/howto/loading-csv-data.md b/wiki/content/howto/loading-csv-data.md new file mode 100644 index 00000000000..5984276f1ba --- /dev/null +++ b/wiki/content/howto/loading-csv-data.md @@ -0,0 +1,150 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Loading CSV Data" +[menu.main] + parent = "howto" + weight = 6 ++++ + +[Dgraph mutations]({{< relref "mutations/_index.md" >}}) are accepted in RDF +N-Quad and JSON formats. To load CSV-formatted data into Dgraph, first convert +the dataset into one of the accepted formats and then load the resulting dataset +into Dgraph. This section demonstrates converting CSV into JSON. There are +many tools available to convert CSV to JSON. For example, you can use +[`d3-dsv`](https://github.com/d3/d3-dsv)'s `csv2json` tool as shown below: + +```csv +Name,URL +Dgraph,https://github.com/dgraph-io/dgraph +Badger,https://github.com/dgraph-io/badger +``` + +```sh +$ csv2json names.csv --out names.json +$ cat names.json | jq '.' +[ + { + "Name": "Dgraph", + "URL": "https://github.com/dgraph-io/dgraph" + }, + { + "Name": "Badger", + "URL": "https://github.com/dgraph-io/badger" + } +] +``` + +This JSON can be loaded into Dgraph via the programmatic clients. This follows +the [JSON Mutation Format]({{< relref "mutations/json-mutation-format.md" >}}). +Note that each JSON object in the list above will be assigned a unique UID since +the `uid` field is omitted. + +[The Ratel UI (and HTTP clients) expect JSON data to be stored within the `"set"` +key]({{< relref "mutations/json-mutation-format.md#json-syntax-using-raw-http-or-ratel-ui" +>}}). You can use `jq` to transform the JSON into the correct format: + +```sh +$ cat names.json | jq '{ set: . }' +``` +```json +{ + "set": [ + { + "Name": "Dgraph", + "URL": "https://github.com/dgraph-io/dgraph" + }, + { + "Name": "Badger", + "URL": "https://github.com/dgraph-io/badger" + } + ] +} +``` + +Let's say you have CSV data in a file named connects.csv that's connecting nodes +together. Here, the `connects` field should `uid` type. + +```csv +uid,connects +_:a,_:b +_:a,_:c +_:c,_:d +_:d,_:a +``` + +{{% notice "note" %}} +To reuse existing integer IDs from a CSV file as UIDs in Dgraph, use Dgraph Zero's [assign endpoint]({{< relref "deploy/index.md#more-about-dgraph-zero" >}}) before data loading to allocate a range of UIDs that can be safely assigned. +{{% /notice %}} + +To get the correct JSON format, you can convert the CSV into JSON and use `jq` +to transform it in the correct format where the `connects` edge is a node uid: + +```sh +$ csv2json connects.csv | jq '[ .[] | { uid: .uid, connects: { uid: .connects } } ]' +``` + +```json +[ + { + "uid": "_:a", + "connects": { + "uid": "_:b" + } + }, + { + "uid": "_:a", + "connects": { + "uid": "_:c" + } + }, + { + "uid": "_:c", + "connects": { + "uid": "_:d" + } + }, + { + "uid": "_:d", + "connects": { + "uid": "_:a" + } + } +] +``` + +You can modify the `jq` transformation to output the mutation format accepted by +Ratel UI and HTTP clients: + +```sh +$ csv2json connects.csv | jq '{ set: [ .[] | {uid: .uid, connects: { uid: .connects } } ] }' +``` +```json +{ + "set": [ + { + "uid": "_:a", + "connects": { + "uid": "_:b" + } + }, + { + "uid": "_:a", + "connects": { + "uid": "_:c" + } + }, + { + "uid": "_:c", + "connects": { + "uid": "_:d" + } + }, + { + "uid": "_:d", + "connects": { + "uid": "_:a" + } + } + ] +} +``` diff --git a/wiki/content/howto/login-system.md b/wiki/content/howto/login-system.md new file mode 100644 index 00000000000..327da367ffb --- /dev/null +++ b/wiki/content/howto/login-system.md @@ -0,0 +1,64 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "A Simple Login System" +[menu.main] + parent = "howto" + weight = 7 ++++ + +{{% notice "note" %}} +This example is based on part of the [transactions in +v0.9](https://blog.dgraph.io/post/v0.9/) blogpost. Error checking has been +omitted for brevity. +{{% /notice %}} + +Schema is assumed to be: +``` +// @upsert directive is important to detect conflicts. +email: string @index(exact) @upsert . # @index(hash) would also work +pass: password . +``` + +``` +// Create a new transaction. The deferred call to Discard +// ensures that server-side resources are cleaned up. +txn := client.NewTxn() +defer txn.Discard(ctx) + +// Create and execute a query to looks up an email and checks if the password +// matches. +q := fmt.Sprintf(` + { + login_attempt(func: eq(email, %q)) { + checkpwd(pass, %q) + } + } +`, email, pass) +resp, err := txn.Query(ctx, q) + +// Unmarshal the response into a struct. It will be empty if the email couldn't +// be found. Otherwise it will contain a bool to indicate if the password matched. +var login struct { + Account []struct { + Pass []struct { + CheckPwd bool `json:"checkpwd"` + } `json:"pass"` + } `json:"login_attempt"` +} +err = json.Unmarshal(resp.GetJson(), &login); err != nil { + +// Now perform the upsert logic. +if len(login.Account) == 0 { + fmt.Println("Account doesn't exist! Creating new account.") + mu := &protos.Mutation{ + SetJson: []byte(fmt.Sprintf(`{ "email": %q, "pass": %q }`, email, pass)), + } + _, err = txn.Mutate(ctx, mu) + // Commit the mutation, making it visible outside of the transaction. + err = txn.Commit(ctx) +} else if login.Account[0].Pass[0].CheckPwd { + fmt.Println("Login successful!") +} else { + fmt.Println("Wrong email or password.") +} +``` \ No newline at end of file diff --git a/wiki/content/howto/migrate-dgraph-1-1.md b/wiki/content/howto/migrate-dgraph-1-1.md new file mode 100644 index 00000000000..3ac1857c662 --- /dev/null +++ b/wiki/content/howto/migrate-dgraph-1-1.md @@ -0,0 +1,236 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Migrate to Dgraph v1.1" +[menu.main] + parent = "howto" + weight = 11 ++++ + +## Schema types: scalar `uid` and list `[uid]` + +The semantics of predicates of type `uid` has changed in Dgraph 1.1. Whereas before all `uid` predicates implied a one-to-many relationship, now a one-to-one relationship or a one-to-many relationship can be expressed. + +``` +friend: [uid] . +best_friend: uid . +``` + +In the above, the predicate `friend` allows a one-to-many relationship (i.e a person can have more than one friend) and the predicate best_friend can be at most a one-to-one relationship. + +This syntactic meaning is consistent with the other types, e.g., `string` indicating a single-value string and `[string]` representing many strings. This change makes the `uid` type work similarly to other types. + +To migrate existing schemas from Dgraph v1.0 to Dgraph v1.1, update the schema file from an export so all predicates of type `uid` are changed to `[uid]`. Then use the updated schema when loading data into Dgraph v1.1. For example, for the following schema: + +```text +name: string . +friend: uid . +``` + +becomes + +```text +name: string . +friend: [uid] . +``` +## Type system + +The new [type system]({{< relref "query-language/type-system.md" >}}) introduced in Dgraph 1.1 should not affect migrating data from a previous version. However, a couple of features in the query language will not work as they did before: `expand()` and `_predicate_`. + +The reason is that the internal predicate that associated each node with its predicates (called `_predicate_`) has been removed. Instead, to get the predicates that belong to a node, the type system is used. + +### `expand()` + +Expand queries will not work until the type system has been properly set up. For example, the following query will return an empty result in Dgraph 1.1 if the node 0xff has no type information. + +```text +{ + me(func: uid(0xff)) { + expand(_all_) + } +} +``` + +To make it work again, add a type definition via the alter endpoint. Let’s assume the node in the previous example represents a person. Then, the basic Person type could be defined as follows: + +```text +type Person { + name + age +} +``` + +After that, the node is associated with the type by adding the following RDF triple to Dgraph (using a mutation): + +```text +<0xff> "Person" . +``` + +After that, the results of the query in both Dgraph v1.0 and Dgraph v1.1 should be the same. + +### `_predicate_` + +The other consequence of removing `_predicate_` is that it cannot be referenced explicitly in queries. In Dgraph 1.0, the following query returns the predicates of the node 0xff. + +```ql +{ + me(func: uid(0xff)) { + _predicate_ # NOT available in Dgraph v1.1 + } +} +``` + +**There’s no exact equivalent of this behavior in Dgraph 1.1**, but the information can be queried by first querying for the types associated with that node with the query + +```text +{ + me(func: uid(0xff)) { + dgraph.type + } +} +``` + +And then retrieving the definition of each type in the results using a schema query. + +```text +schema(type: Person) {} +``` + +## Live Loader and Bulk Loader command-line flags + +### File input flags +In Dgraph v1.1, both the Dgraph Live Loader and Dgraph Bulk Loader tools support loading data in either RDF format or JSON format. To simplify the command-line interface for these tools, the `-r`/`--rdfs` flag has been removed in favor of `-f/--files`. The new flag accepts file or directory paths for either data format. By default, the tools will infer the file type based on the file suffix, e.g., `.rdf` and `.rdf.gz` or `.json` and `.json.gz` for RDF data or JSON data, respectively. To ignore the filenames and set the format explicitly, the `--format` flag can be set to `rdf` or `json`. + +Before (in Dgraph v1.0): + +```sh +dgraph live -r data.rdf.gz +``` + +Now (in Dgraph v1.1): + +```sh +dgraph live -f data.rdf.gz +``` + +### Dgraph Alpha address flag +For Dgraph Live Loader, the flag to specify the Dgraph Alpha address (default: `127.0.0.1:9080`) has changed from `-d`/`--dgraph` to `-a`/`--alpha`. + +Before (in Dgraph v1.0): + +```sh +dgraph live -d 127.0.0.1:9080 +``` + +Now (in Dgraph v1.1): + +```sh +dgraph live -a 127.0.0.1:9080 +``` +## HTTP API + +For HTTP API users (e.g., Curl, Postman), the custom Dgraph headers have been removed in favor of standard HTTP headers and query parameters. + +### Queries + +There are two accepted `Content-Type` headers for queries over HTTP: `application/graphql+-` or `application/json`. + +A `Content-Type` must be set to run a query. + +Before (in Dgraph v1.0): + +```sh +curl localhost:8080/query -d '{ + q(func: eq(name, "Dgraph")) { + name + } +}' +``` + +Now (in Dgraph v1.1): + +```sh +curl -H 'Content-Type: application/graphql+-' localhost:8080/query -d '{ + q(func: eq(name, "Dgraph")) { + name + } +}' +``` + +For queries using [GraphQL Variables]({{< relref "query-language/graphql-variables.md" >}}), the query must be sent via the `application/json` content type, with the query and variables sent in a JSON payload: + +Before (in Dgraph v1.0): + +```sh +curl -H 'X-Dgraph-Vars: {"$name": "Alice"}' localhost:8080/query -d 'query qWithVars($name: string) { + q(func: eq(name, $name)) { + name + } +} +``` + +Now (in Dgraph v1.1): + +```sh +curl -H 'Content-Type: application/json' localhost:8080/query -d '{ + "query": "query qWithVars($name: string) { q(func: eq(name, $name)) { name } }", + "variables": {"$name": "Alice"} +}' +``` + +### Mutations + +There are two accepted Content-Type headers for mutations over HTTP: `Content-Type: application/rdf` or `Content-Type: application/json`. + +A `Content-Type` must be set to run a mutation. + +These Content-Type headers supercede the Dgraph v1.0.x custom header `X-Dgraph-MutationType` to set the mutation type as RDF or JSON. + +To commit the mutation immediately, use the query parameter `commitNow=true`. This replaces the custom header `X-Dgraph-CommitNow: true` from Dgraph v1.0.x. + +Before (in Dgraph v1.0) + +```sh +curl -H 'X-Dgraph-CommitNow: true' localhost:8080/mutate -d '{ + set { + _:n "Alice" . + _:n "Person" . + } +}' +``` + +Now (in Dgraph v1.1): + +```sh +curl -H 'Content-Type: application/rdf' localhost:8080/mutate?commitNow=true -d '{ + set { + _:n "Alice" . + _:n "Person" . + } +}' +``` + +For JSON mutations, set the `Content-Type` header to `application/json`. + +Before (in Dgraph v1.0): + +```sh +curl -H 'X-Dgraph-MutationType: json' -H "X-Dgraph-CommitNow: true" locahost:8080/mutate -d '{ + "set": [ + { + "name": "Alice" + } + ] +}' +``` + +Now (in Dgraph v1.1): + +```sh +curl -H 'Content-Type: application/json' locahost:8080/mutate?commitNow=true -d '{ + "set": [ + { + "name": "Alice" + } + ] +}' +``` diff --git a/wiki/content/howto/retrieving-debug-information.md b/wiki/content/howto/retrieving-debug-information.md new file mode 100644 index 00000000000..1acf5e868e3 --- /dev/null +++ b/wiki/content/howto/retrieving-debug-information.md @@ -0,0 +1,56 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Retrieving Debug Information" +[menu.main] + parent = "howto" + weight = 1 ++++ + +Each Dgraph data node exposes profile over `/debug/pprof` endpoint and metrics over `/debug/vars` endpoint. Each Dgraph data node has it's own profiling and metrics information. Below is a list of debugging information exposed by Dgraph and the corresponding commands to retrieve them. + +## Metrics Information + +If you are collecting these metrics from outside the Dgraph instance you need to pass `--expose_trace=true` flag, otherwise there metrics can be collected by connecting to the instance over localhost. + +``` +curl http://:/debug/vars +``` + +Metrics can also be retrieved in the Prometheus format at `/debug/prometheus_metrics`. See the [Metrics]({{< relref "deploy/metrics.md" >}}) section for the full list of metrics. + +## Profiling Information + +Profiling information is available via the `go tool pprof` profiling tool built into Go. The ["Profiling Go programs"](https://blog.golang.org/profiling-go-programs) Go blog post will help you get started with using pprof. Each Dgraph Zero and Dgraph Alpha exposes a debug endpoint at `/debug/pprof/` via the HTTP port. + +``` +go tool pprof http://:/debug/pprof/heap +Fetching profile from ... +Saved Profile in ... +``` +The output of the command would show the location where the profile is stored. + +In the interactive pprof shell, you can use commands like `top` to get a listing of the top functions in the profile, `web` to get a visual graph of the profile opened in a web browser, or `list` to display a code listing with profiling information overlaid. + +### CPU Profile + +``` +go tool pprof http://:/debug/pprof/profile +``` + +### Memory Profile + +``` +go tool pprof http://:/debug/pprof/heap +``` + +### Block Profile + +Dgraph by default doesn't collect the block profile. Dgraph must be started with `--profile_mode=block` and `--block_rate=` with N > 1. + +``` +go tool pprof http://:/debug/pprof/block +``` + +### Goroutine stack + +The HTTP page `/debug/pprof/` is available at the HTTP port of a Dgraph Zero or Dgraph Alpha. From this page a link to the "full goroutine stack dump" is available (e.g., on a Dgraph Alpha this page would be at `http://localhost:8080/debug/pprof/goroutine?debug=2`). Looking at the full goroutine stack can be useful to understand goroutine usage at that moment. \ No newline at end of file diff --git a/wiki/content/howto/upserts.md b/wiki/content/howto/upserts.md new file mode 100644 index 00000000000..a0b44ba074b --- /dev/null +++ b/wiki/content/howto/upserts.md @@ -0,0 +1,76 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Upserts" +[menu.main] + parent = "howto" + weight = 9 ++++ + +Upsert-style operations are operations where: + +1. A node is searched for, and then +2. Depending on if it is found or not, either: + - Updating some of its attributes, or + - Creating a new node with those attributes. + +The upsert has to be an atomic operation such that either a new node is +created, or an existing node is modified. It's not allowed that two concurrent +upserts both create a new node. + +There are many examples where upserts are useful. Most examples involve the +creation of a 1 to 1 mapping between two different entities. E.g. associating +email addresses with user accounts. + +Upserts are common in both traditional RDBMSs and newer NoSQL databases. +Dgraph is no exception. + +## Upsert Procedure + +In Dgraph, upsert-style behaviour can be implemented by users on top of +transactions. The steps are as follows: + +1. Create a new transaction. + +2. Query for the node. This will usually be as simple as `{ q(func: eq(email, + "bob@example.com")) { uid }}`. If a `uid` result is returned, then that's the +`uid` for the existing node. If no results are returned, then the user account +doesn't exist. + +3. In the case where the user account doesn't exist, then a new node has to be + created. This is done in the usual way by making a mutation (inside the +transaction), e.g. the RDF `_:newAccount "bob@example.com" .`. The +`uid` assigned can be accessed by looking up the blank node name `newAccount` +in the `Assigned` object returned from the mutation. + +4. Now that you have the `uid` of the account (either new or existing), you can + modify the account (using additional mutations) or perform queries on it in +whichever way you wish. + +## Upsert Block + +You can also use the `Upsert Block` to achieve the upsert procedure in a single + mutation. The request will contain both the query and the mutation as explained +[here]({{< relref "mutations/upsert-block.md" >}}). + +## Conflicts + +Upsert operations are intended to be run concurrently, as per the needs of the +application. As such, it's possible that two concurrently running operations +could try to add the same node at the same time. For example, both try to add a +user with the same email address. If they do, then one of the transactions will +fail with an error indicating that the transaction was aborted. + +If this happens, the transaction is rolled back and it's up to the user's +application logic to retry the whole operation. The transaction has to be +retried in its entirety, all the way from creating a new transaction. + +The choice of index placed on the predicate is important for performance. +**Hash is almost always the best choice of index for equality checking.** + +{{% notice "note" %}} +It's the _index_ that typically causes upsert conflicts to occur. The index is +stored as many key/value pairs, where each key is a combination of the +predicate name and some function of the predicate value (e.g. its hash for the +hash index). If two transactions modify the same key concurrently, then one +will fail. +{{% /notice %}} \ No newline at end of file diff --git a/wiki/content/howto/using-debug-tool.md b/wiki/content/howto/using-debug-tool.md new file mode 100644 index 00000000000..3ed679eac62 --- /dev/null +++ b/wiki/content/howto/using-debug-tool.md @@ -0,0 +1,231 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Using the Debug Tool" +[menu.main] + parent = "howto" + weight = 2 ++++ + +{{% notice "note" %}} +To debug a running Dgraph cluster, first copy the postings ("p") directory to +another location. If the Dgraph cluster is not running, then you can use the +same postings directory with the debug tool. + +If the “p” directory has been encrypted, then the debug tool will need to use the --keyfile option. This file must contain the same key that was used to encrypt the “p” directory. +{{% /notice %}} + +The `dgraph debug` tool can be used to inspect Dgraph's posting list structure. +You can use the debug tool to inspect the data, schema, and indices of your +Dgraph cluster. + +Some scenarios where the debug tool is useful: + +- Verify that mutations committed to Dgraph have been persisted to disk. +- Verify that indices are created. +- Inspect the history of a posting list. + +## Example Usage + +Debug the p directory. + +```sh +$ dgraph debug --postings ./p +``` + +Debug the p directory, not opening in read-only mode. This is typically necessary when the database was not closed properly. + +```sh +$ dgraph debug --postings ./p --readonly=false +``` + +Debug the p directory, only outputing the keys for the predicate `name`. + +```sh +$ dgraph debug --postings ./p --readonly=false --pred=name +``` + +Debug the p directory, looking up a particular key: + +```sh +$ dgraph debug --postings ./p --lookup 00000b6465736372697074696f6e020866617374 +``` + +Debug the p directory, inspecting the history of a particular key: + +```sh +$ dgraph debug --postings ./p --lookup 00000b6465736372697074696f6e020866617374 --history +``` + +Debug an encrypted p directory with the key in a local file at the path ./key_file: + +```sh +$ dgraph debug --postings ./p --keyfile ./key_file +``` + + +{{% notice "note" %}} +The key file contains the key used to decrypt/encrypt the db. This key should be kept secret. As a best practice, + +- Do not store the key file on the disk permanently. Back it up in a safe place and delete it after using it with the debug tool. + +- If the above is not possible, make sure correct privileges are set on the keyfile. Only the user who owns the dgraph process should be able to read / write the key file: `chmod 600` +{{% /notice %}} + +## Debug Tool Output + +Let's go over an example with a Dgraph cluster with the following schema with a term index, full-text index, and two separately committed mutations: + +```sh +$ curl localhost:8080/alter -d ' + name: string @index(term) . + url: string . + description: string @index(fulltext) . +' +``` + +```sh +$ curl -H "Content-Type: application/rdf" localhost:8080/mutate?commitNow=true -d '{ + set { + _:dgraph "Dgraph" . + _:dgraph "Software" . + _:dgraph "https://github.com/dgraph-io/dgraph" . + _:dgraph "Fast, Transactional, Distributed Graph Database." . + } +}' +``` + +```sh +$ curl -H "Content-Type: application/rdf" localhost:8080/mutate?commitNow=true -d '{ + set { + _:badger "Badger" . + _:badger "Software" . + _:badger "https://github.com/dgraph-io/badger" . + _:badger "Embeddable, persistent and fast key-value (KV) database written in pure Go." . + } +}' +``` + +After stopping Dgraph, you can run the debug tool to inspect the postings directory: + +{{% notice "note" %}} +The debug output can be very large. Typically you would redirect the debug tool to a file first for easier analysis. +{{% /notice %}} + +```sh +$ dgraph debug --postings ./p +``` + +```text +Opening DB: ./p +Min commit: 1. Max commit: 5, w.r.t 18446744073709551615 +prefix = +{d} {v.ok} attr: url uid: 1 key: 00000375726c000000000000000001 item: [71, b0100] ts: 3 +{d} {v.ok} attr: url uid: 2 key: 00000375726c000000000000000002 item: [71, b0100] ts: 5 +{d} {v.ok} attr: name uid: 1 key: 0000046e616d65000000000000000001 item: [43, b0100] ts: 3 +{d} {v.ok} attr: name uid: 2 key: 0000046e616d65000000000000000002 item: [43, b0100] ts: 5 +{i} {v.ok} attr: name term: [1] badger key: 0000046e616d650201626164676572 item: [30, b0100] ts: 5 +{i} {v.ok} attr: name term: [1] dgraph key: 0000046e616d650201646772617068 item: [30, b0100] ts: 3 +{d} {v.ok} attr: _predicate_ uid: 1 key: 00000b5f7072656469636174655f000000000000000001 item: [104, b0100] ts: 3 +{d} {v.ok} attr: _predicate_ uid: 2 key: 00000b5f7072656469636174655f000000000000000002 item: [104, b0100] ts: 5 +{d} {v.ok} attr: description uid: 1 key: 00000b6465736372697074696f6e000000000000000001 item: [92, b0100] ts: 3 +{d} {v.ok} attr: description uid: 2 key: 00000b6465736372697074696f6e000000000000000002 item: [119, b0100] ts: 5 +{i} {v.ok} attr: description term: [8] databas key: 00000b6465736372697074696f6e020864617461626173 item: [38, b0100] ts: 5 +{i} {v.ok} attr: description term: [8] distribut key: 00000b6465736372697074696f6e0208646973747269627574 item: [40, b0100] ts: 3 +{i} {v.ok} attr: description term: [8] embedd key: 00000b6465736372697074696f6e0208656d62656464 item: [37, b0100] ts: 5 +{i} {v.ok} attr: description term: [8] fast key: 00000b6465736372697074696f6e020866617374 item: [35, b0100] ts: 5 +{i} {v.ok} attr: description term: [8] go key: 00000b6465736372697074696f6e0208676f item: [33, b0100] ts: 5 +{i} {v.ok} attr: description term: [8] graph key: 00000b6465736372697074696f6e02086772617068 item: [36, b0100] ts: 3 +{i} {v.ok} attr: description term: [8] kei key: 00000b6465736372697074696f6e02086b6569 item: [34, b0100] ts: 5 +{i} {v.ok} attr: description term: [8] kv key: 00000b6465736372697074696f6e02086b76 item: [33, b0100] ts: 5 +{i} {v.ok} attr: description term: [8] persist key: 00000b6465736372697074696f6e020870657273697374 item: [38, b0100] ts: 5 +{i} {v.ok} attr: description term: [8] pure key: 00000b6465736372697074696f6e020870757265 item: [35, b0100] ts: 5 +{i} {v.ok} attr: description term: [8] transact key: 00000b6465736372697074696f6e02087472616e73616374 item: [39, b0100] ts: 3 +{i} {v.ok} attr: description term: [8] valu key: 00000b6465736372697074696f6e020876616c75 item: [35, b0100] ts: 5 +{i} {v.ok} attr: description term: [8] written key: 00000b6465736372697074696f6e02087772697474656e item: [38, b0100] ts: 5 +{s} {v.ok} attr: url key: 01000375726c item: [13, b0001] ts: 1 +{s} {v.ok} attr: name key: 0100046e616d65 item: [23, b0001] ts: 1 +{s} {v.ok} attr: _predicate_ key: 01000b5f7072656469636174655f item: [31, b0001] ts: 1 +{s} {v.ok} attr: description key: 01000b6465736372697074696f6e item: [41, b0001] ts: 1 +{s} {v.ok} attr: dgraph.type key: 01000b6467726170682e74797065 item: [40, b0001] ts: 1 +Found 28 keys +``` + +Each line in the debug output contains a prefix indicating the type of the key: `{d}`: Data key; `{i}`: Index key; `{c}`: Count key; `{r}`: Reverse key; `{s}`: Schema key. In the debug output above, we see data keys, index keys, and schema keys. + +Each index key has a corresponding index type. For example, in `attr: name term: [1] dgraph` the `[1]` shows that this is the term index ([0x1][tok_term]); in `attr: description term: [8] fast`, the `[8]` shows that this is the full-text index ([0x8][tok_fulltext]). These IDs match the index IDs in [tok.go][tok]. + +[tok_term]: https://github.com/dgraph-io/dgraph/blob/ce82aaafba3d9e57cf5ea1aeb9b637193441e1e2/tok/tok.go#L39 +[tok_fulltext]: https://github.com/dgraph-io/dgraph/blob/ce82aaafba3d9e57cf5ea1aeb9b637193441e1e2/tok/tok.go#L48 +[tok]: https://github.com/dgraph-io/dgraph/blob/ce82aaafba3d9e57cf5ea1aeb9b637193441e1e2/tok/tok.go#L37-L53 + +## Key Lookup + +Every key can be inspected further with the `--lookup` flag for the specific key. + +```sh +$ dgraph debug --postings ./p --lookup 00000b6465736372697074696f6e020866617374 +``` + +```text +Opening DB: ./p +Min commit: 1. Max commit: 5, w.r.t 18446744073709551615 + Key: 00000b6465736372697074696f6e0208676f Length: 2 + Uid: 1 Op: 1 + Uid: 2 Op: 1 +``` + +For data keys, a lookup shows its type and value. Below, we see that the key for `attr: url uid: 1` is a string value. + +```sh +$ dgraph debug --postings ./p --lookup 00000375726c000000000000000001 +``` + +```text +Opening DB: ./p +Min commit: 1. Max commit: 5, w.r.t 18446744073709551615 + Key: 0000046e616d65000000000000000001 Length: 1 + Uid: 18446744073709551615 Op: 1 Type: STRING. String Value: "https://github.com/dgraph-io/dgraph" +``` + +For index keys, a lookup shows the UIDs that are part of this index. Below, we see that the `fast` index for the `` predicate has UIDs 0x1 and 0x2. + +```sh +$ dgraph debug --postings ./p --lookup 00000b6465736372697074696f6e020866617374 +``` + +```text +Opening DB: ./p +Min commit: 1. Max commit: 5, w.r.t 18446744073709551615 + Key: 00000b6465736372697074696f6e0208676f Length: 2 + Uid: 1 Op: 1 + Uid: 2 Op: 1 +``` + +## Key History + +You can also look up the history of values for a key using the `--history` option. + +```sh +$ dgraph debug --postings ./p --lookup 00000b6465736372697074696f6e020866617374 --history +``` +```text +Opening DB: ./p +Min commit: 1. Max commit: 5, w.r.t 18446744073709551615 +==> key: 00000b6465736372697074696f6e020866617374. PK: &{byteType:2 Attr:description Uid:0 Termfast Count:0 bytePrefix:0} +ts: 5 {item}{delta} + Uid: 2 Op: 1 + +ts: 3 {item}{delta} + Uid: 1 Op: 1 +``` + +Above, we see that UID 0x1 was committed to this index at ts 3, and UID 0x2 was committed to this index at ts 5. + +The debug output also shows UserMeta information: + +- `{complete}`: Complete posting list +- `{uid}`: UID posting list +- `{delta}`: Delta posting list +- `{empty}`: Empty posting list +- `{item}`: Item posting list +- `{deleted}`: Delete marker \ No newline at end of file diff --git a/wiki/content/howto/using-increment-tool.md b/wiki/content/howto/using-increment-tool.md new file mode 100644 index 00000000000..4a1b23cc22f --- /dev/null +++ b/wiki/content/howto/using-increment-tool.md @@ -0,0 +1,106 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Using the Increment Tool" +[menu.main] + parent = "howto" + weight = 4 ++++ + +The `dgraph increment` tool increments a counter value transactionally. The +increment tool can be used as a health check that an Alpha is able to service +transactions for both queries and mutations. + +## Example Usage + +Increment the default predicate (`counter.val`) once. If the predicate doesn't yet +exist, then it will be created starting at counter 0. + +```sh +$ dgraph increment +``` + +Increment the counter predicate against the Alpha running at address `--alpha` (default: `localhost:9080`): + +```sh +$ dgraph increment --alpha=192.168.1.10:9080 +``` + +Increment the counter predicate specified by `--pred` (default: `counter.val`): + +```sh +$ dgraph increment --pred=counter.val.healthcheck +``` + +Run a read-only query for the counter predicate and does not run a mutation to increment it: + +```sh +$ dgraph increment --ro +``` + +Run a best-effort query for the counter predicate and does not run a mutation to increment it: + +```sh +$ dgraph increment --be +``` + +Run the increment tool 1000 times every 1 second: + +```sh +$ dgraph increment --num=1000 --wait=1s +``` + +## Increment Tool Output + +```sh + Run increment a few times +$ dgraph increment +0410 10:31:16.379 Counter VAL: 1 [ Ts: 1 ] +$ dgraph increment +0410 10:34:53.017 Counter VAL: 2 [ Ts: 3 ] +$ dgraph increment +0410 10:34:53.648 Counter VAL: 3 [ Ts: 5 ] + + Run read-only queries to read the counter a few times +$ dgraph increment --ro +0410 10:34:57.35 Counter VAL: 3 [ Ts: 7 ] +$ dgraph increment --ro +0410 10:34:57.886 Counter VAL: 3 [ Ts: 7 ] +$ dgraph increment --ro +0410 10:34:58.129 Counter VAL: 3 [ Ts: 7 ] + + Run best-effort query to read the counter a few times +$ dgraph increment --be +0410 10:34:59.867 Counter VAL: 3 [ Ts: 7 ] +$ dgraph increment --be +0410 10:35:01.322 Counter VAL: 3 [ Ts: 7 ] +$ dgraph increment --be +0410 10:35:02.674 Counter VAL: 3 [ Ts: 7 ] + + Run a read-only query to read the counter 5 times +$ dgraph increment --ro --num=5 +0410 10:35:18.812 Counter VAL: 3 [ Ts: 7 ] +0410 10:35:18.813 Counter VAL: 3 [ Ts: 7 ] +0410 10:35:18.815 Counter VAL: 3 [ Ts: 7 ] +0410 10:35:18.817 Counter VAL: 3 [ Ts: 7 ] +0410 10:35:18.818 Counter VAL: 3 [ Ts: 7 ] + + Increment the counter 5 times +$ dgraph increment --num=5 +0410 10:35:24.028 Counter VAL: 4 [ Ts: 8 ] +0410 10:35:24.061 Counter VAL: 5 [ Ts: 10 ] +0410 10:35:24.104 Counter VAL: 6 [ Ts: 12 ] +0410 10:35:24.145 Counter VAL: 7 [ Ts: 14 ] +0410 10:35:24.178 Counter VAL: 8 [ Ts: 16 ] + + Increment the counter 5 times, once every second. +$ dgraph increment --num=5 --wait=1s +0410 10:35:26.95 Counter VAL: 9 [ Ts: 18 ] +0410 10:35:27.975 Counter VAL: 10 [ Ts: 20 ] +0410 10:35:28.999 Counter VAL: 11 [ Ts: 22 ] +0410 10:35:30.028 Counter VAL: 12 [ Ts: 24 ] +0410 10:35:31.054 Counter VAL: 13 [ Ts: 26 ] + + If the Alpha is too busy or unhealthy, the tool will timeout and retry. +$ dgraph increment +0410 10:36:50.857 While trying to process counter: Query error: rpc error: code = DeadlineExceeded desc = context deadline exceeded. Retrying... +``` \ No newline at end of file diff --git a/wiki/content/mutations/_index.md b/wiki/content/mutations/_index.md index e69de29bb2d..23c79d346b7 100644 --- a/wiki/content/mutations/_index.md +++ b/wiki/content/mutations/_index.md @@ -0,0 +1,10 @@ ++++ +date = "2017-03-20T19:35:35+11:00" +title = "Mutations" +[menu.main] + url = "/mutations/" + identifier = "mutations" + weight = 6 ++++ + +Adding or removing data in Dgraph is called a mutation. \ No newline at end of file diff --git a/wiki/content/mutations/batch-mutations.md b/wiki/content/mutations/batch-mutations.md new file mode 100644 index 00000000000..7d7951648b4 --- /dev/null +++ b/wiki/content/mutations/batch-mutations.md @@ -0,0 +1,16 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Batch mutations" +[menu.main] + parent = "mutations" + weight = 6 ++++ + +Each mutation may contain multiple RDF triples. For large data uploads many such mutations can be batched in parallel. The command `dgraph live` does just this; by default batching 1000 RDF lines into a query, while running 100 such queries in parallel. + +`dgraph live` takes as input gzipped N-Quad files (that is triple lists without `{ set {`) and batches mutations for all triples in the input. The tool has documentation of options. + +```sh +dgraph live --help +``` +See also [Fast Data Loading](/deploy#fast-data-loading). \ No newline at end of file diff --git a/wiki/content/mutations/blank-nodes.md b/wiki/content/mutations/blank-nodes.md new file mode 100644 index 00000000000..e7c271375f9 --- /dev/null +++ b/wiki/content/mutations/blank-nodes.md @@ -0,0 +1,86 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Blank Nodes and UID" +[menu.main] + parent = "mutations" + weight = 2 ++++ + +Blank nodes in mutations, written `_:identifier`, identify nodes within a mutation. Dgraph creates a UID identifying each blank node and returns the created UIDs as the mutation result. For example, mutation: + +``` +{ + set { + _:class _:x . + _:class _:y . + _:class "awesome class" . + _:class "Class" . + _:x "Alice" . + _:x "Person" . + _:x "Student" . + _:x "Mars" . + _:x _:y . + _:y "Bob" . + _:y "Person" . + _:y "Student" . + } +} +``` +results in output (the actual UIDs will be different on any run of this mutation) +``` +{ + "data": { + "code": "Success", + "message": "Done", + "uids": { + "class": "0x2712", + "x": "0x2713", + "y": "0x2714" + } + } +} +``` +The graph has thus been updated as if it had stored the triples +``` +<0x6bc818dc89e78754> <0xc3bcc578868b719d> . +<0x6bc818dc89e78754> <0xb294fb8464357b0a> . +<0x6bc818dc89e78754> "awesome class" . +<0x6bc818dc89e78754> "Class" . +<0xc3bcc578868b719d> "Alice" . +<0xc3bcc578868b719d> "Person" . +<0xc3bcc578868b719d> "Student" . +<0xc3bcc578868b719d> "Mars" . +<0xc3bcc578868b719d> <0xb294fb8464357b0a> . +<0xb294fb8464357b0a> "Bob" . +<0xb294fb8464357b0a> "Person" . +<0xb294fb8464357b0a> "Student" . +``` +The blank node labels `_:class`, `_:x` and `_:y` do not identify the nodes after the mutation, and can be safely reused to identify new nodes in later mutations. + +A later mutation can update the data for existing UIDs. For example, the following to add a new student to the class. +``` +{ + set { + <0x6bc818dc89e78754> _:x . + _:x "Chris" . + _:x "Person" . + _:x "Student" . + } +} +``` + +A query can also directly use UID. +``` +{ + class(func: uid(0x6bc818dc89e78754)) { + name + student { + name + planet + friend { + name + } + } + } +} +``` \ No newline at end of file diff --git a/wiki/content/mutations/conditional-upsert.md b/wiki/content/mutations/conditional-upsert.md new file mode 100644 index 00000000000..76828d291ed --- /dev/null +++ b/wiki/content/mutations/conditional-upsert.md @@ -0,0 +1,285 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Conditional Upsert" +[menu.main] + parent = "mutations" + weight = 12 ++++ + +The upsert block also allows specifying conditional mutation blocks using an `@if` +directive. The mutation is executed only when the specified condition is true. If the +condition is false, the mutation is silently ignored. The general structure of +Conditional Upsert looks like as follows: + +``` +upsert { + query + [fragment ] + mutation [@if()] + [mutation [@if()] ] + ... +} +``` + +The `@if` directive accepts a condition on variables defined in the query block and can be +connected using `AND`, `OR` and `NOT`. + +## Example of Conditional Upsert + +Let's say in our previous example, we know the `company1` has less than 100 employees. +For safety, we want the mutation to execute only when the variable `v` stores less than +100 but greater than 50 UIDs in it. This can be achieved as follows: + +```sh +curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' +upsert { + query { + v as var(func: regexp(email, /.*@company1.io$/)) + } + + mutation @if(lt(len(v), 100) AND gt(len(v), 50)) { + delete { + uid(v) * . + uid(v) * . + uid(v) * . + } + } +}' | jq +``` + +We can achieve the same result using `json` dataset as follows: + +```sh +curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d '{ + "query": "{ v as var(func: regexp(email, /.*@company1.io$/)) }", + "cond": "@if(lt(len(v), 100) AND gt(len(v), 50))", + "delete": { + "uid": "uid(v)", + "name": null, + "email": null, + "age": null + } +}' | jq +``` + +## Example of Multiple Mutation Blocks + +Consider an example with the following schema: + +```sh +curl localhost:8080/alter -X POST -d $' + name: string @index(term) . + email: [string] @index(exact) @upsert .' | jq +``` + +Let's say, we have many users stored in our database each having one or more than +one email Addresses. Now, we get two email Addresses that belong to the same user. +If the email Addresses belong to the different nodes in the database, we want to delete +the existing nodes and create a new node with both the emails attached to this new node. +Otherwise, we create/update the new/existing node with both the emails. + +```sh +curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' +upsert { + query { + # filter is needed to ensure that we do not get same UIDs in u1 and u2 + q1(func: eq(email, "user_email1@company1.io")) @filter(not(eq(email, "user_email2@company1.io"))) { + u1 as uid + } + + q2(func: eq(email, "user_email2@company1.io")) @filter(not(eq(email, "user_email1@company1.io"))) { + u2 as uid + } + + q3(func: eq(email, "user_email1@company1.io")) @filter(eq(email, "user_email2@company1.io")) { + u3 as uid + } + } + + # case when both emails do not exist + mutation @if(eq(len(u1), 0) AND eq(len(u2), 0) AND eq(len(u3), 0)) { + set { + _:user "user" . + _:user "Person" . + _:user "user_email1@company1.io" . + _:user "user_email2@company1.io" . + } + } + + # case when email1 exists but email2 does not + mutation @if(eq(len(u1), 1) AND eq(len(u2), 0) AND eq(len(u3), 0)) { + set { + uid(u1) "user_email2@company1.io" . + } + } + + # case when email1 does not exist but email2 exists + mutation @if(eq(len(u1), 0) AND eq(len(u2), 1) AND eq(len(u3), 0)) { + set { + uid(u2) "user_email1@company1.io" . + } + } + + # case when both emails exist and needs merging + mutation @if(eq(len(u1), 1) AND eq(len(u2), 1) AND eq(len(u3), 0)) { + set { + _:user "user" . + _:user "Person" . + _:user "user_email1@company1.io" . + _:user "user_email2@company1.io" . + } + + delete { + uid(u1) * . + uid(u1) * . + uid(u2) * . + uid(u2) * . + } + } +}' | jq +``` + +Result (when database is empty): + +```json +{ + "data": { + "q1": [], + "q2": [], + "q3": [], + "code": "Success", + "message": "Done", + "uids": { + "user": "0x1" + } + }, + "extensions": {...} +} +``` + +Result (both emails exist and are attached to different nodes): +```json +{ + "data": { + "q1": [ + { + "uid": "0x2" + } + ], + "q2": [ + { + "uid": "0x3" + } + ], + "q3": [], + "code": "Success", + "message": "Done", + "uids": { + "user": "0x4" + } + }, + "extensions": {...} +} +``` + +Result (when both emails exist and are already attached to the same node): + +```json +{ + "data": { + "q1": [], + "q2": [], + "q3": [ + { + "uid": "0x4" + } + ], + "code": "Success", + "message": "Done", + "uids": {} + }, + "extensions": {...} +} +``` + +We can achieve the same result using `json` dataset as follows: + +```sh +curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d '{ + "query": "{q1(func: eq(email, \"user_email1@company1.io\")) @filter(not(eq(email, \"user_email2@company1.io\"))) {u1 as uid} \n q2(func: eq(email, \"user_email2@company1.io\")) @filter(not(eq(email, \"user_email1@company1.io\"))) {u2 as uid} \n q3(func: eq(email, \"user_email1@company1.io\")) @filter(eq(email, \"user_email2@company1.io\")) {u3 as uid}}", + "mutations": [ + { + "cond": "@if(eq(len(u1), 0) AND eq(len(u2), 0) AND eq(len(u3), 0))", + "set": [ + { + "uid": "_:user", + "name": "user", + "dgraph.type": "Person" + }, + { + "uid": "_:user", + "email": "user_email1@company1.io", + "dgraph.type": "Person" + }, + { + "uid": "_:user", + "email": "user_email2@company1.io", + "dgraph.type": "Person" + } + ] + }, + { + "cond": "@if(eq(len(u1), 1) AND eq(len(u2), 0) AND eq(len(u3), 0))", + "set": [ + { + "uid": "uid(u1)", + "email": "user_email2@company1.io", + "dgraph.type": "Person" + } + ] + }, + { + "cond": "@if(eq(len(u1), 1) AND eq(len(u2), 0) AND eq(len(u3), 0))", + "set": [ + { + "uid": "uid(u2)", + "email": "user_email1@company1.io", + "dgraph.type": "Person" + } + ] + }, + { + "cond": "@if(eq(len(u1), 1) AND eq(len(u2), 1) AND eq(len(u3), 0))", + "set": [ + { + "uid": "_:user", + "name": "user", + "dgraph.type": "Person" + }, + { + "uid": "_:user", + "email": "user_email1@company1.io", + "dgraph.type": "Person" + }, + { + "uid": "_:user", + "email": "user_email2@company1.io", + "dgraph.type": "Person" + } + ], + "delete": [ + { + "uid": "uid(u1)", + "name": null, + "email": null + }, + { + "uid": "uid(u2)", + "name": null, + "email": null + } + ] + } + ] +}' | jq +``` diff --git a/wiki/content/mutations/delete.md b/wiki/content/mutations/delete.md new file mode 100644 index 00000000000..578136412bd --- /dev/null +++ b/wiki/content/mutations/delete.md @@ -0,0 +1,76 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Delete" +[menu.main] + parent = "mutations" + weight = 7 ++++ + +A delete mutation, signified with the `delete` keyword, removes triples from the store. + +For example, if the store contained +```RDF +<0xf11168064b01135b> "Lewis Carrol" +<0xf11168064b01135b> "1998" +<0xf11168064b01135b> "Person" . +``` + +Then delete mutation + +```sh +{ + delete { + <0xf11168064b01135b> "1998" . + } +} +``` + +Deletes the erroneous data and removes it from indexes if present. + +For a particular node `N`, all data for predicate `P` (and corresponding indexing) is removed with the pattern `S P *`. + +```sh +{ + delete { + <0xf11168064b01135b> * . + } +} +``` + +The pattern `S * *` deletes all known edges out of a node (the node itself may +remain as the target of edges), any reverse edges corresponding to the removed +edges and any indexing for the removed data. The predicates to delete are +derived from the type information for that node (the value of the `dgraph.type` +edges on that node and their corresponding definitions in the schema). If that +information is missing, this operation will be a no-op. + +```sh +{ + delete { + <0xf11168064b01135b> * * . + } +} +``` + + +{{% notice "note" %}} The patterns `* P O` and `* * O` are not supported since its expensive to store/find all the incoming edges. {{% /notice %}} + +## Deletion of non-list predicates + +Deleting the value of a non-list predicate (i.e a 1-to-1 relation) can be done in two ways. + +1. Using the star notation mentioned in the last section. +1. Setting the object to a specific value. If the value passed is not the current value, the mutation will succeed but will have no effect. If the value passed is the current value, the mutation will succeed and will delete the triple. + +For language-tagged values, the following special syntax is supported: + +``` +{ + delete { + <0x12345> * . + } +} +``` + +In this example, the value of name tagged with language tag `es` will be deleted. +Other tagged values are left untouched. \ No newline at end of file diff --git a/wiki/content/mutations/external-ids.md b/wiki/content/mutations/external-ids.md new file mode 100644 index 00000000000..24949d473a8 --- /dev/null +++ b/wiki/content/mutations/external-ids.md @@ -0,0 +1,66 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "External IDs" +[menu.main] + parent = "mutations" + weight = 3 ++++ + +Dgraph's input language, RDF, also supports triples of the form ` literal/node` and variants on this, where the label `a_fixed_identifier` is intended as a unique identifier for a node. For example, mixing [schema.org](http://schema.org) identifiers, [the movie database](https://www.themoviedb.org/) identifiers and blank nodes: + +``` +_:userA . +_:userA "Person" . +_:userA "FirstName LastName" . + . + "Robin Wright" . +``` + +As Dgraph doesn't natively support such external IDs as node identifiers. Instead, external IDs can be stored as properties of a node with an `xid` edge. For example, from the above, the predicate names are valid in Dgraph, but the node identified with `` could be identified in Dgraph with a UID, say `0x123`, and an edge + +``` +<0x123> "http://schema.org/Person" . +<0x123> "ExternalType" . +``` + +While Robin Wright might get UID `0x321` and triples + +``` +<0x321> "https://www.themoviedb.org/person/32-robin-wright" . +<0x321> <0x123> . +<0x321> "Robin Wright" . +<0x321> "Person" . +``` + +An appropriate schema might be as follows. +``` +xid: string @index(exact) . +: [uid] @reverse . +``` + +Query Example: All people. + +``` +{ + var(func: eq(xid, "http://schema.org/Person")) { + allPeople as <~http://schema.org/type> + } + + q(func: uid(allPeople)) { + + } +} +``` + +Query Example: Robin Wright by external ID. + +``` +{ + robin(func: eq(xid, "https://www.themoviedb.org/person/32-robin-wright")) { + expand(_all_) { expand(_all_) } + } +} + +``` + +{{% notice "note" %}} `xid` edges are not added automatically in mutations. In general it is a user's responsibility to check for existing `xid`'s and add nodes and `xid` edges if necessary. Dgraph leaves all checking of uniqueness of such `xid`'s to external processes. {{% /notice %}} diff --git a/wiki/content/mutations/extrenal-ids-upsert-block.md b/wiki/content/mutations/extrenal-ids-upsert-block.md new file mode 100644 index 00000000000..5e8144d2c06 --- /dev/null +++ b/wiki/content/mutations/extrenal-ids-upsert-block.md @@ -0,0 +1,86 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "External IDs and Upsert Block" +[menu.main] + parent = "mutations" + weight = 4 ++++ + +The upsert block makes managing external IDs easy. + +Set the schema. +``` +xid: string @index(exact) . +: string @index(exact) . +: [uid] @reverse . +``` + +Set the type first of all. +``` +{ + set { + _:blank "http://schema.org/Person" . + _:blank "ExternalType" . + } +} +``` + +Now you can create a new person and attach its type using the upsert block. +``` + upsert { + query { + var(func: eq(xid, "http://schema.org/Person")) { + Type as uid + } + var(func: eq(, "Robin Wright")) { + Person as uid + } + } + mutation { + set { + uid(Person) "https://www.themoviedb.org/person/32-robin-wright" . + uid(Person) uid(Type) . + uid(Person) "Robin Wright" . + uid(Person) "Person" . + } + } + } +``` + +You can also delete a person and detach the relation between Type and Person Node. It's the same as above, but you use the keyword "delete" instead of "set". "`http://schema.org/Person`" will remain but "`Robin Wright`" will be deleted. + +``` + upsert { + query { + var(func: eq(xid, "http://schema.org/Person")) { + Type as uid + } + var(func: eq(, "Robin Wright")) { + Person as uid + } + } + mutation { + delete { + uid(Person) "https://www.themoviedb.org/person/32-robin-wright" . + uid(Person) uid(Type) . + uid(Person) "Robin Wright" . + uid(Person) "Person" . + } + } + } +``` + +Query by user. +``` +{ + q(func: eq(, "Robin Wright")) { + uid + xid + + { + uid + xid + } + } +} +``` \ No newline at end of file diff --git a/wiki/content/mutations/facets-in-list-type-with-rdf.md b/wiki/content/mutations/facets-in-list-type-with-rdf.md new file mode 100644 index 00000000000..8d38f55b393 --- /dev/null +++ b/wiki/content/mutations/facets-in-list-type-with-rdf.md @@ -0,0 +1,58 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Facets in List-type with RDF" +[menu.main] + parent = "mutations" + weight = 8 ++++ + +Schema: + +```sh +: string @index(exact). +: [string] . +``` + +Creating a list with facets in RDF is straightforward. + +```sh +{ + set { + _:Julian "Julian" . + _:Julian "Jay-Jay" (kind="first") . + _:Julian "Jules" (kind="official") . + _:Julian "JB" (kind="CS-GO") . + } +} +``` + +```graphql +{ + q(func: eq(name,"Julian")){ + name + nickname @facets + } +} +``` +Result: +```JSON +{ + "data": { + "q": [ + { + "name": "Julian", + "nickname|kind": { + "0": "first", + "1": "official", + "2": "CS-GO" + }, + "nickname": [ + "Jay-Jay", + "Jules", + "JB" + ] + } + ] + } +} +``` \ No newline at end of file diff --git a/wiki/content/mutations/index.md b/wiki/content/mutations/index.md deleted file mode 100644 index f932a7b555b..00000000000 --- a/wiki/content/mutations/index.md +++ /dev/null @@ -1,1684 +0,0 @@ -+++ -title = "Mutations" -+++ - -Adding or removing data in Dgraph is called a mutation. - -A mutation that adds triples is done with the `set` keyword. -``` -{ - set { - # triples in here - } -} -``` - -## Triples - -The input language is triples in the W3C standard [RDF N-Quad format](https://www.w3.org/TR/n-quads/). - -Each triple has the form -``` - . -``` -Meaning that the graph node identified by `subject` is linked to `object` with directed edge `predicate`. Each triple ends with a period. The subject of a triple is always a node in the graph, while the object may be a node or a value (a literal). - -For example, the triple -``` -<0x01> "Alice" . -<0x01> "Person" . -``` -Represents that graph node with ID `0x01` has a `name` with string value `"Alice"`. While triple -``` -<0x01> <0x02> . -``` -Represents that graph node with ID `0x01` is linked with the `friend` edge to node `0x02`. - -Dgraph creates a unique 64 bit identifier for every blank node in the mutation - the node's UID. A mutation can include a blank node as an identifier for the subject or object, or a known UID from a previous mutation. - - -## Blank Nodes and UID - -Blank nodes in mutations, written `_:identifier`, identify nodes within a mutation. Dgraph creates a UID identifying each blank node and returns the created UIDs as the mutation result. For example, mutation: - -``` -{ - set { - _:class _:x . - _:class _:y . - _:class "awesome class" . - _:class "Class" . - _:x "Alice" . - _:x "Person" . - _:x "Student" . - _:x "Mars" . - _:x _:y . - _:y "Bob" . - _:y "Person" . - _:y "Student" . - } -} -``` -results in output (the actual UIDs will be different on any run of this mutation) -``` -{ - "data": { - "code": "Success", - "message": "Done", - "uids": { - "class": "0x2712", - "x": "0x2713", - "y": "0x2714" - } - } -} -``` -The graph has thus been updated as if it had stored the triples -``` -<0x6bc818dc89e78754> <0xc3bcc578868b719d> . -<0x6bc818dc89e78754> <0xb294fb8464357b0a> . -<0x6bc818dc89e78754> "awesome class" . -<0x6bc818dc89e78754> "Class" . -<0xc3bcc578868b719d> "Alice" . -<0xc3bcc578868b719d> "Person" . -<0xc3bcc578868b719d> "Student" . -<0xc3bcc578868b719d> "Mars" . -<0xc3bcc578868b719d> <0xb294fb8464357b0a> . -<0xb294fb8464357b0a> "Bob" . -<0xb294fb8464357b0a> "Person" . -<0xb294fb8464357b0a> "Student" . -``` -The blank node labels `_:class`, `_:x` and `_:y` do not identify the nodes after the mutation, and can be safely reused to identify new nodes in later mutations. - -A later mutation can update the data for existing UIDs. For example, the following to add a new student to the class. -``` -{ - set { - <0x6bc818dc89e78754> _:x . - _:x "Chris" . - _:x "Person" . - _:x "Student" . - } -} -``` - -A query can also directly use UID. -``` -{ - class(func: uid(0x6bc818dc89e78754)) { - name - student { - name - planet - friend { - name - } - } - } -} -``` - -## External IDs - -Dgraph's input language, RDF, also supports triples of the form ` literal/node` and variants on this, where the label `a_fixed_identifier` is intended as a unique identifier for a node. For example, mixing [schema.org](http://schema.org) identifiers, [the movie database](https://www.themoviedb.org/) identifiers and blank nodes: - -``` -_:userA . -_:userA "Person" . -_:userA "FirstName LastName" . - . - "Robin Wright" . -``` - -As Dgraph doesn't natively support such external IDs as node identifiers. Instead, external IDs can be stored as properties of a node with an `xid` edge. For example, from the above, the predicate names are valid in Dgraph, but the node identified with `` could be identified in Dgraph with a UID, say `0x123`, and an edge - -``` -<0x123> "http://schema.org/Person" . -<0x123> "ExternalType" . -``` - -While Robin Wright might get UID `0x321` and triples - -``` -<0x321> "https://www.themoviedb.org/person/32-robin-wright" . -<0x321> <0x123> . -<0x321> "Robin Wright" . -<0x321> "Person" . -``` - -An appropriate schema might be as follows. -``` -xid: string @index(exact) . -: [uid] @reverse . -``` - -Query Example: All people. - -``` -{ - var(func: eq(xid, "http://schema.org/Person")) { - allPeople as <~http://schema.org/type> - } - - q(func: uid(allPeople)) { - - } -} -``` - -Query Example: Robin Wright by external ID. - -``` -{ - robin(func: eq(xid, "https://www.themoviedb.org/person/32-robin-wright")) { - expand(_all_) { expand(_all_) } - } -} - -``` - -{{% notice "note" %}} `xid` edges are not added automatically in mutations. In general it is a user's responsibility to check for existing `xid`'s and add nodes and `xid` edges if necessary. Dgraph leaves all checking of uniqueness of such `xid`'s to external processes. {{% /notice %}} - -## External IDs and Upsert Block - -The upsert block makes managing external IDs easy. - -Set the schema. -``` -xid: string @index(exact) . -: string @index(exact) . -: [uid] @reverse . -``` - -Set the type first of all. -``` -{ - set { - _:blank "http://schema.org/Person" . - _:blank "ExternalType" . - } -} -``` - -Now you can create a new person and attach its type using the upsert block. -``` - upsert { - query { - var(func: eq(xid, "http://schema.org/Person")) { - Type as uid - } - var(func: eq(, "Robin Wright")) { - Person as uid - } - } - mutation { - set { - uid(Person) "https://www.themoviedb.org/person/32-robin-wright" . - uid(Person) uid(Type) . - uid(Person) "Robin Wright" . - uid(Person) "Person" . - } - } - } -``` - -You can also delete a person and detach the relation between Type and Person Node. It's the same as above, but you use the keyword "delete" instead of "set". "`http://schema.org/Person`" will remain but "`Robin Wright`" will be deleted. - -``` - upsert { - query { - var(func: eq(xid, "http://schema.org/Person")) { - Type as uid - } - var(func: eq(, "Robin Wright")) { - Person as uid - } - } - mutation { - delete { - uid(Person) "https://www.themoviedb.org/person/32-robin-wright" . - uid(Person) uid(Type) . - uid(Person) "Robin Wright" . - uid(Person) "Person" . - } - } - } -``` - -Query by user. -``` -{ - q(func: eq(, "Robin Wright")) { - uid - xid - - { - uid - xid - } - } -} -``` - -## Language and RDF Types - -RDF N-Quad allows specifying a language for string values and an RDF type. Languages are written using `@lang`. For example -``` -<0x01> "Adelaide"@en . -<0x01> "Аделаида"@ru . -<0x01> "Adélaïde"@fr . -<0x01> "Person" . -``` -See also [how language strings are handled in queries]({{< relref "query-language/index.md#language-support" >}}). - -RDF types are attached to literals with the standard `^^` separator. For example -``` -<0x01> "32"^^ . -<0x01> "1985-06-08"^^ . -``` - -The supported [RDF datatypes](https://www.w3.org/TR/rdf11-concepts/#section-Datatypes) and the corresponding internal type in which the data is stored are as follows. - -| Storage Type | Dgraph type | -| ------------- | :------------: | -| <xs:string> | `string` | -| <xs:dateTime> | `dateTime` | -| <xs:date> | `datetime` | -| <xs:int> | `int` | -| <xs:integer> | `int` | -| <xs:boolean> | `bool` | -| <xs:double> | `float` | -| <xs:float> | `float` | -| <geo:geojson> | `geo` | -| <xs:password> | `password` | -| <http://www.w3.org/2001/XMLSchema#string> | `string` | -| <http://www.w3.org/2001/XMLSchema#dateTime> | `dateTime` | -| <http://www.w3.org/2001/XMLSchema#date> | `dateTime` | -| <http://www.w3.org/2001/XMLSchema#int> | `int` | -| <http://www.w3.org/2001/XMLSchema#positiveInteger> | `int` | -| <http://www.w3.org/2001/XMLSchema#integer> | `int` | -| <http://www.w3.org/2001/XMLSchema#boolean> | `bool` | -| <http://www.w3.org/2001/XMLSchema#double> | `float` | -| <http://www.w3.org/2001/XMLSchema#float> | `float` | - -See the section on [RDF schema types]({{< relref "#rdf-types" >}}) to understand how RDF types affect mutations and storage. - -## Batch mutations - -Each mutation may contain multiple RDF triples. For large data uploads many such mutations can be batched in parallel. The command `dgraph live` does just this; by default batching 1000 RDF lines into a query, while running 100 such queries in parallel. - -`dgraph live` takes as input gzipped N-Quad files (that is triple lists without `{ set {`) and batches mutations for all triples in the input. The tool has documentation of options. - -```sh -dgraph live --help -``` - -See also [Fast Data Loading](/deploy#fast-data-loading). - -## Delete - -A delete mutation, signified with the `delete` keyword, removes triples from the store. - -For example, if the store contained - -```RDF -<0xf11168064b01135b> "Lewis Carrol" -<0xf11168064b01135b> "1998" -<0xf11168064b01135b> "Person" . -``` - -Then delete mutation - -```sh -{ - delete { - <0xf11168064b01135b> "1998" . - } -} -``` - -Deletes the erroneous data and removes it from indexes if present. - -For a particular node `N`, all data for predicate `P` (and corresponding indexing) is removed with the pattern `S P *`. - -```sh -{ - delete { - <0xf11168064b01135b> * . - } -} -``` - -The pattern `S * *` deletes all known edges out of a node (the node itself may -remain as the target of edges), any reverse edges corresponding to the removed -edges and any indexing for the removed data. The predicates to delete are -derived from the type information for that node (the value of the `dgraph.type` -edges on that node and their corresponding definitions in the schema). If that -information is missing, this operation will be a no-op. - -```sh -{ - delete { - <0xf11168064b01135b> * * . - } -} -``` - -{{% notice "note" %}} The patterns `* P O` and `* * O` are not supported since its expensive to store/find all the incoming edges. {{% /notice %}} - -### Deletion of non-list predicates - -Deleting the value of a non-list predicate (i.e a 1-to-1 relation) can be done in two ways. - -1. Using the star notation mentioned in the last section. -1. Setting the object to a specific value. If the value passed is not the current value, the mutation will succeed but will have no effect. If the value passed is the current value, the mutation will succeed and will delete the triple. - -For language-tagged values, the following special syntax is supported: - -```sh -{ - delete { - <0x12345> * . - } -} -``` - -In this example, the value of name tagged with language tag `es` will be deleted. -Other tagged values are left untouched. - -## Facets in List-type with RDF - -Schema: - -```sh -: string @index(exact). -: [string] . -``` - -Creating a list with facets in RDF is straightforward. - -```sh -{ - set { - _:Julian "Julian" . - _:Julian "Jay-Jay" (kind="first") . - _:Julian "Jules" (kind="official") . - _:Julian "JB" (kind="CS-GO") . - } -} -``` - -```graphql -{ - q(func: eq(name,"Julian")){ - name - nickname @facets - } -} -``` - -Result: - -```JSON -{ - "data": { - "q": [ - { - "name": "Julian", - "nickname|kind": { - "0": "first", - "1": "official", - "2": "CS-GO" - }, - "nickname": [ - "Jay-Jay", - "Jules", - "JB" - ] - } - ] - } -} -``` - -## Mutations using cURL - -Mutations can be done over HTTP by making a `POST` request to an Alpha's `/mutate` endpoint. On the command line this can be done with curl. To commit the mutation, pass the parameter `commitNow=true` in the URL. - -To run a `set` mutation: - -```sh -curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' -{ - set { - _:alice "Alice" . - _:alice "Person" . - } -}' -``` - -To run a `delete` mutation: - -```sh -curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' -{ - delete { - # Example: The UID of Alice is 0x56f33 - <0x56f33> * . - } -}' -``` - -To run an RDF mutation stored in a file, use curl's `--data-binary` option so that, unlike the `-d` option, the data is not URL encoded. - -```sh -curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true --data-binary @mutation.txt -``` - -## JSON Mutation Format - -Mutations can also be specified using JSON objects. This can allow mutations to -be expressed in a more natural way. It also eliminates the need for apps to -have custom serialisation code, since most languages already have a JSON -marshalling library. - -When Dgraph receives a mutation as a JSON object, it first converts in into -multiple RDFs that are then processed as normal. - -Each JSON object represents a single node in the graph. - -{{% notice "note" %}} -JSON mutations are available via gRPC clients such as the Go client, JS client, and Java client, and are available to HTTP clients with [dgraph-js-http](https://github.com/dgraph-io/dgraph-js-http) and cURL. See more about cURL [here]({{< relref "#using-json-operations-via-curl" >}}) -{{% /notice %}} - -### Setting literal values - -When setting new values, the `set_json` field in the `Mutation` message should -contain a JSON object. - -Literal values can be set by adding a key/value to the JSON object. The key -represents the predicate, and the value represents the object. - -For example: - -```json -{ - "name": "diggy", - "food": "pizza", - "dgraph.type": "Mascot" -} -``` - -Will be converted into the RDFs: - -```RDF -_:blank-0 "diggy" . -_:blank-0 "pizza" . -_:blank-0 "Mascot" . -``` - -The result of the mutation would also contain a map, which would have the uid assigned corresponding -to the key `blank-0`. You could specify your own key like - -```json -{ - "uid": "_:diggy", - "name": "diggy", - "food": "pizza", - "dgraph.type": "Mascot" -} -``` - -In this case, the assigned uids map would have a key called `diggy` with the value being the uid -assigned to it. - -### Language support - -An important difference between RDF and JSON mutations is in regards to specifying a string value's -language. In JSON, the language tag is appended to the edge _name_, not the value like in RDF. - -For example, the JSON mutation - -```JSON -{ - "food": "taco", - "rating@en": "tastes good", - "rating@es": "sabe bien", - "rating@fr": "c'est bon", - "rating@it": "è buono", - "dgraph.type": "Food" -} -``` - -is equivalent to the following RDF: - -```RDF -_:blank-0 "taco" . -_:blank-0 "Food" . -_:blank-0 "tastes good"@en . -_:blank-0 "sabe bien"@es . -_:blank-0 "c'est bon"@fr . -_:blank-0 "è buono"@it . -``` - -### Geolocation support - -Support for geolocation data is available in JSON. Geo-location data is entered -as a JSON object with keys "type" and "coordinates". Keep in mind we only -support indexing on the Point, Polygon, and MultiPolygon types, but we can store -other types of geolocation data. Below is an example: - -```JSON -{ - "food": "taco", - "location": { - "type": "Point", - "coordinates": [1.0, 2.0] - } -} -``` - -### Referencing existing nodes - -If a JSON object contains a field named `"uid"`, then that field is interpreted -as the UID of an existing node in the graph. This mechanism allows you to -reference existing nodes. - -For example: - -```json -{ - "uid": "0x467ba0", - "food": "taco", - "rating": "tastes good", - "dgraph.type": "Food" -} -``` - -Will be converted into the RDFs: - -```RDF -<0x467ba0> "taco" . -<0x467ba0> "tastes good" . -<0x467ba0> "Food" . -``` - -### Edges between nodes - -Edges between nodes are represented in a similar way to literal values, except -that the object is a JSON object. - -For example: - -```JSON -{ - "name": "Alice", - "friend": { - "name": "Betty" - } -} -``` - -Will be converted into the RDFs: - -```RDF -_:blank-0 "Alice" . -_:blank-0 _:blank-1 . -_:blank-1 "Betty" . -``` - -The result of the mutation would contain the uids assigned to `blank-0` and `blank-1` nodes. If you -wanted to return these uids under a different key, you could specify the `uid` field as a blank -node. - -```JSON -{ - "uid": "_:alice", - "name": "Alice", - "friend": { - "uid": "_:bob", - "name": "Betty" - } -} -``` - -Will be converted to: - -```RDF -_:alice "Alice" . -_:alice _:bob . -_:bob "Betty" . -``` - -Existing nodes can be referenced in the same way as when adding literal values. -E.g. to link two existing nodes: - -```JSON -{ - "uid": "0x123", - "link": { - "uid": "0x456" - } -} -``` - -Will be converted to: - -```RDF -<0x123> <0x456> . -``` - -{{% notice "note" %}} -A common mistake is to attempt to use `{"uid":"0x123","link":"0x456"}`. This -will result in an error. Dgraph interprets this JSON object as setting the -`link` predicate to the string`"0x456"`, which is usually not intended. {{% -/notice %}} - -### Deleting literal values - -Deletion mutations can also be sent in JSON format. To send a delete mutation, -use the `delete_json` field instead of the `set_json` field in the `Mutation` -message. - -{{% notice "note" %}} Check the [JSON Syntax using Raw HTTP or Ratel UI]({{< relref "#json-syntax-using-raw-http-or-ratel-ui">}}) section if you're using the dgraph-js-http client or Ratel UI. {{% /notice %}} - -When using delete mutations, an existing node always has to be referenced. So -the `"uid"` field for each JSON object must be present. Predicates that should -be deleted should be set to the JSON value `null`. - -For example, to remove a food rating: - -```JSON -{ - "uid": "0x467ba0", - "rating": null -} -``` - -### Deleting edges - -Deleting a single edge requires the same JSON object that would create that -edge. E.g. to delete the predicate `link` from `"0x123"` to `"0x456"`: - -```JSON -{ - "uid": "0x123", - "link": { - "uid": "0x456" - } -} -``` - -All edges for a predicate emanating from a single node can be deleted at once -(corresponding to deleting `S P *`): - -```JSON -{ - "uid": "0x123", - "link": null -} -``` - -If no predicates are specified, then all of the node's known outbound edges (to -other nodes and to literal values) are deleted (corresponding to deleting `S * -*`). The predicates to delete are derived using the type system. Refer to the -[RDF format]({{< relref "#delete" >}}) documentation and the section on the -[type system]({{< relref "query-language/index.md#type-system" >}}) for more -information: - -```JSON -{ - "uid": "0x123" -} -``` - -### Facets - -Facets can be created by using the `|` character to separate the predicate -and facet key in a JSON object field name. This is the same encoding schema -used to show facets in query results. E.g. - -```JSON -{ - "name": "Carol", - "name|initial": "C", - "dgraph.type": "Person", - "friend": { - "name": "Daryl", - "friend|close": "yes", - "dgraph.type": "Person" - } -} -``` - -Produces the following RDFs: - -```RDF -_:blank-0 "Carol" (initial=C) . -_:blank-0 "Person" . -_:blank-0 _:blank-1 (close=yes) . -_:blank-1 "Daryl" . -_:blank-1 "Person" . -``` - -Facets do not contain type information but Dgraph will try to guess a type from -the input. If the value of a facet can be parsed to a number, it will be -converted to either a float or an int. If it can be parsed as a boolean, it will -be stored as a boolean. If the value is a string, it will be stored as a -datetime if the string matches one of the time formats that Dgraph recognizes -(YYYY, MM-YYYY, DD-MM-YYYY, RFC339, etc.) and as a double-quoted string -otherwise. If you do not want to risk the chance of your facet data being -misinterpreted as a time value, it is best to store numeric data as either an -int or a float. - -### Deleting Facets - -The easiest way to delete a Facet is overwriting it. When you create a new mutation for the same entity without a facet, the existing facet will be deleted automatically. - -e.g: - -```RDF -<0x1> "Carol" . -<0x1> <0x2> . -``` - -Another way to do this is by using the Upsert Block. - -> In this query below, we are deleting Facet in the Name and Friend predicates. To overwrite we need to collect the values ​​of the edges on which we are performing this operation and use the function "val(var)" to complete the overwriting. - -```sh -curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' -upsert { - query { - user as var(func: eq(name, "Carol")){ - Name as name - Friends as friend - } - } - - mutation { - set { - uid(user) val(Name) . - uid(user) uid(Friends) . - } - } -}' | jq -``` - -### Creating a list with JSON and interacting with - -Schema: - -```sh -testList: [string] . -``` - -```JSON -{ - "testList": [ - "Grape", - "Apple", - "Strawberry", - "Banana", - "watermelon" - ] -} -``` - -Let’s then remove "Apple" from this list (Remember, it’s case sensitive): - -```graphql -{ - q(func: has(testList)) { - uid - testList - } -} -``` - -```JSON -{ - "delete": { - "uid": "0x6", #UID of the list. - "testList": "Apple" - } -} -``` - -Also you can delete multiple values - -```JSON -{ - "delete": { - "uid": "0x6", - "testList": [ - "Strawberry", - "Banana", - "watermelon" - ] - } -} -``` - -{{% notice "note" %}} Check the [JSON Syntax using Raw HTTP or Ratel UI]({{< relref "#json-syntax-using-raw-http-or-ratel-ui">}}) section if you're using the dgraph-js-http client or Ratel UI. {{% /notice %}} - -Add another fruit: - -```JSON -{ - "uid": "0x6", #UID of the list. - "testList": "Pineapple" -} -``` - -### Facets in List-type with JSON - -Schema: - -```sh -: string @index(exact). -: [string] . -``` - -To create a List-type predicate you need to specify all value in a single list. Facets for all -predicate values should be specified together. It is done in map format with index of predicate -values inside list being map key and their respective facets value as map values. Predicate values -which does not have facets values will be missing from facets map. E.g. - -```JSON -{ - "set": [ - { - "uid": "_:Julian", - "name": "Julian", - "nickname": ["Jay-Jay", "Jules", "JB"], - "nickname|kind": { - "0": "first", - "1": "official", - "2": "CS-GO" - } - } - ] -} -``` - -Above you see that we have three values ​​to enter the list with their respective facets. - -You can run this query to check the list with facets: - -```graphql -{ - q(func: eq(name,"Julian")) { - uid - nickname @facets - } -} -``` - -Later, if you want to add more values ​​with facets, just do the same procedure, but this time instead of using Blank-node you must use the actual node's UID. - -```JSON -{ - "set": [ - { - "uid": "0x3", - "nickname|kind": "Internet", - "nickname": "@JJ" - } - ] -} -``` - -And the final result is: - -```JSON -{ - "data": { - "q": [ - { - "uid": "0x3", - "nickname|kind": { - "0": "first", - "1": "Internet", - "2": "official", - "3": "CS-GO" - }, - "nickname": [ - "Jay-Jay", - "@JJ", - "Jules", - "JB" - ] - } - ] - } -} -``` - -### Specifying multiple operations - -When specifying add or delete mutations, multiple nodes can be specified -at the same time using JSON arrays. - -For example, the following JSON object can be used to add two new nodes, each -with a `name`: - -```JSON -[ - { - "name": "Edward" - }, - { - "name": "Fredric" - } -] -``` - -### JSON Syntax using Raw HTTP or Ratel UI - -This syntax can be used in the most current version of Ratel, in the [dgraph-js-http](https://github.com/dgraph-io/dgraph-js-http) client or even via cURL. - -You can also [download the Ratel UI for Linux, macOS, or Windows](https://discuss.dgraph.io/t/ratel-installer-for-linux-macos-and-windows-preview-version-ratel-update-from-v1-0-6/2884/). - -Mutate: - -```JSON -{ - "set": [ - { - # One JSON obj in here - }, - { - # Another JSON obj in here for multiple operations - } - ] -} -``` - -Delete: - -Deletion operations are the same as [Deleting literal values]({{< relref "#deleting-literal-values">}}) and [Deleting edges]({{< relref "#deleting-edges">}}). - -```JSON -{ - "delete": [ - { - # One JSON obj in here - }, - { - # Another JSON obj in here for multiple operations - } - ] -} -``` - -### Using JSON operations via cURL - -First you have to configure the HTTP header to specify content-type. - -```sh --H 'Content-Type: application/json' -``` - -{{% notice "note" %}} -In order to use `jq` for JSON formatting you need the `jq` package. See the -[`jq` downloads](https://stedolan.github.io/jq/download/) page for installation -details. You can also use Python's built in `json.tool` module with `python -m -json.tool` to do JSON formatting. -{{% /notice %}} - -```sh -curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d $' - { - "set": [ - { - "name": "Alice" - }, - { - "name": "Bob" - } - ] - }' | jq - -``` - -To delete: - -```sh -curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d $' - { - "delete": [ - { - "uid": "0xa" - } - ] - }' | jq -``` - -Mutation with a JSON file: - -```sh -curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d @data.json -``` - -where the contents of data.json looks like the following: - -```json -{ - "set": [ - { - "name": "Alice" - }, - { - "name": "Bob" - } - ] -} -``` - -The JSON file must follow the same format for mutations over HTTP: a single JSON -object with the `"set"` or `"delete"` key and an array of JSON objects for the -mutation. If you already have a file with an array of data, you can use `jq` to -transform your data to the proper format. For example, if your data.json file -looks like this: - -```json -[ - { - "name": "Alice" - }, - { - "name": "Bob" - } -] -``` - -then you can transform your data to the proper format with the following `jq` -command, where the `.` in the `jq` string represents the contents of data.json: - -```sh -cat data.json | jq '{set: .}' -``` - -``` -{ - "set": [ - { - "name": "Alice" - }, - { - "name": "Bob" - } - ] -} -``` - -## Upsert Block - -The upsert block allows performing queries and mutations in a single request. The upsert -block contains one query block and one or more than one mutation blocks. Variables defined -in the query block can be used in the mutation blocks using the `uid` and `val` function. - -In general, the structure of the upsert block is as follows: - -``` -upsert { - query - [fragment ] - mutation - [mutation ] - ... -} -``` - -Execution of an upsert block also returns the response of the query executed on the state -of the database *before mutation was executed*. To get the latest result, we should commit -the mutation and execute another query. - -### `uid` Function - -The `uid` function allows extracting UIDs from variables defined in the query block. -There are two possible outcomes based on the results of executing the query block: - -* If the variable is empty i.e. no node matched the query, the `uid` function returns a new UID in case of a `set` operation and is thus treated similar to a blank node. On the other hand, for `delete/del` operation, it returns no UID, and thus the operation becomes a no-op and is silently ignored. A blank node gets the same UID across all the mutation blocks. -* If the variable stores one or more than one UIDs, the `uid` function returns all the UIDs stored in the variable. In this case, the operation is performed on all the UIDs returned, one at a time. - -### `val` Function - -The `val` function allows extracting values from value variables. Value variables store -a mapping from UIDs to their corresponding values. Hence, `val(v)` is replaced by the value -stored in the mapping for the UID (Subject) in the N-Quad. If the variable `v` has no value -for a given UID, the mutation is silently ignored. The `val` function can be used with the -result of aggregate variables as well, in which case, all the UIDs in the mutation would -be updated with the aggregate value. - -### Example of `uid` Function - -Consider an example with the following schema: - -```sh -curl localhost:8080/alter -X POST -d $' - name: string @index(term) . - email: string @index(exact, trigram) @upsert . - age: int @index(int) .' | jq -``` - -Now, let's say we want to create a new user with `email` and `name` information. -We also want to make sure that one email has exactly one corresponding user in -the database. To achieve this, we need to first query whether a user exists -in the database with the given email. If a user exists, we use its UID -to update the `name` information. If the user doesn't exist, we create -a new user and update the `email` and `name` information. - -We can do this using the upsert block as follows: - -```sh -curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' -upsert { - query { - q(func: eq(email, "user@company1.io")) { - v as uid - name - } - } - - mutation { - set { - uid(v) "first last" . - uid(v) "user@company1.io" . - } - } -}' | jq -``` - -Result: - -```json -{ - "data": { - "q": [], - "code": "Success", - "message": "Done", - "uids": { - "uid(v)": "0x1" - } - }, - "extensions": {...} -} -``` - -The query part of the upsert block stores the UID of the user with the provided email -in the variable `v`. The mutation part then extracts the UID from variable `v`, and -stores the `name` and `email` information in the database. If the user exists, -the information is updated. If the user doesn't exist, `uid(v)` is treated -as a blank node and a new user is created as explained above. - -If we run the same mutation again, the data would just be overwritten, and no new uid is -created. Note that the `uids` map is empty in the result when the mutation is executed -again and the `data` map (key `q`) contains the uid that was created in the previous upsert. - -```json -{ - "data": { - "q": [ - { - "uid": "0x1", - "name": "first last" - } - ], - "code": "Success", - "message": "Done", - "uids": {} - }, - "extensions": {...} -} -``` - -We can achieve the same result using `json` dataset as follows: - -```sh -curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d ' -{ - "query": "{ q(func: eq(email, \\"user@company1.io\\")) {v as uid\\n name} }", - "set": { - "uid": "uid(v)", - "name": "first last", - "email": "user@company1.io" - } -}' | jq -``` - -Now, we want to add the `age` information for the same user having the same email -`user@company1.io`. We can use the upsert block to do the same as follows: - -```sh -curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' -upsert { - query { - q(func: eq(email, "user@company1.io")) { - v as uid - } - } - - mutation { - set { - uid(v) "28" . - } - } -}' | jq -``` - -Result: - -```json -{ - "data": { - "q": [ - { - "uid": "0x1" - } - ], - "code": "Success", - "message": "Done", - "uids": {} - }, - "extensions": {...} -} -``` - -Here, the query block queries for a user with `email` as `user@company1.io`. It stores -the `uid` of the user in variable `v`. The mutation block then updates the `age` of the -user by extracting the uid from the variable `v` using `uid` function. - -We can achieve the same result using `json` dataset as follows: - -```sh -curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d $' -{ - "query": "{ q(func: eq(email, \\"user@company1.io\\")) {v as uid} }", - "set":{ - "uid": "uid(v)", - "age": "28" - } -}' | jq -``` - -If we want to execute the mutation only when the user exists, we could use -[Conditional Upsert]({{< relref "#conditional-upsert" >}}). - -### Example of `val` Function - -Let's say we want to migrate the predicate `age` to `other`. We can do this using the -following mutation: - -```sh -curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' -upsert { - query { - v as var(func: has(age)) { - a as age - } - } - - mutation { - # we copy the values from the old predicate - set { - uid(v) val(a) . - } - - # and we delete the old predicate - delete { - uid(v) * . - } - } -}' | jq -``` - -Result: - -```json -{ - "data": { - "code": "Success", - "message": "Done", - "uids": {} - }, - "extensions": {...} -} -``` - -Here, variable `a` will store a mapping from all the UIDs to their `age`. The mutation -block then stores the corresponding value of `age` for each UID in the `other` predicate -and deletes the `age` predicate. - -We can achieve the same result using `json` dataset as follows: - -```sh -curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d $'{ - "query": "{ v as var(func: regexp(email, /.*@company1.io$/)) }", - "delete": { - "uid": "uid(v)", - "age": null - }, - "set": { - "uid": "uid(v)", - "other": "val(a)" - } -}' | jq -``` - -### Bulk Delete Example - -Let's say we want to delete all the users of `company1` from the database. This can be -achieved in just one query using the upsert block as follows: - -```sh -curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' -upsert { - query { - v as var(func: regexp(email, /.*@company1.io$/)) - } - - mutation { - delete { - uid(v) * . - uid(v) * . - uid(v) * . - } - } -}' | jq -``` - -We can achieve the same result using `json` dataset as follows: - -```sh -curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d '{ - "query": "{ v as var(func: regexp(email, /.*@company1.io$/)) }", - "delete": { - "uid": "uid(v)", - "name": null, - "email": null, - "age": null - } -}' | jq -``` - -## Conditional Upsert - -The upsert block also allows specifying conditional mutation blocks using an `@if` -directive. The mutation is executed only when the specified condition is true. If the -condition is false, the mutation is silently ignored. The general structure of -Conditional Upsert looks like as follows: - -``` -upsert { - query - [fragment ] - mutation [@if()] - [mutation [@if()] ] - ... -} -``` - -The `@if` directive accepts a condition on variables defined in the query block and can be -connected using `AND`, `OR` and `NOT`. - -### Example of Conditional Upsert - -Let's say in our previous example, we know the `company1` has less than 100 employees. -For safety, we want the mutation to execute only when the variable `v` stores less than -100 but greater than 50 UIDs in it. This can be achieved as follows: - -```sh -curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' -upsert { - query { - v as var(func: regexp(email, /.*@company1.io$/)) - } - - mutation @if(lt(len(v), 100) AND gt(len(v), 50)) { - delete { - uid(v) * . - uid(v) * . - uid(v) * . - } - } -}' | jq -``` - -We can achieve the same result using `json` dataset as follows: - -```sh -curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d '{ - "query": "{ v as var(func: regexp(email, /.*@company1.io$/)) }", - "cond": "@if(lt(len(v), 100) AND gt(len(v), 50))", - "delete": { - "uid": "uid(v)", - "name": null, - "email": null, - "age": null - } -}' | jq -``` - -### Example of Multiple Mutation Blocks - -Consider an example with the following schema: - -```sh -curl localhost:8080/alter -X POST -d $' - name: string @index(term) . - email: [string] @index(exact) @upsert .' | jq -``` - -Let's say, we have many users stored in our database each having one or more than -one email Addresses. Now, we get two email Addresses that belong to the same user. -If the email Addresses belong to the different nodes in the database, we want to delete -the existing nodes and create a new node with both the emails attached to this new node. -Otherwise, we create/update the new/existing node with both the emails. - -```sh -curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' -upsert { - query { - # filter is needed to ensure that we do not get same UIDs in u1 and u2 - q1(func: eq(email, "user_email1@company1.io")) @filter(not(eq(email, "user_email2@company1.io"))) { - u1 as uid - } - - q2(func: eq(email, "user_email2@company1.io")) @filter(not(eq(email, "user_email1@company1.io"))) { - u2 as uid - } - - q3(func: eq(email, "user_email1@company1.io")) @filter(eq(email, "user_email2@company1.io")) { - u3 as uid - } - } - - # case when both emails do not exist - mutation @if(eq(len(u1), 0) AND eq(len(u2), 0) AND eq(len(u3), 0)) { - set { - _:user "user" . - _:user "Person" . - _:user "user_email1@company1.io" . - _:user "user_email2@company1.io" . - } - } - - # case when email1 exists but email2 does not - mutation @if(eq(len(u1), 1) AND eq(len(u2), 0) AND eq(len(u3), 0)) { - set { - uid(u1) "user_email2@company1.io" . - } - } - - # case when email1 does not exist but email2 exists - mutation @if(eq(len(u1), 0) AND eq(len(u2), 1) AND eq(len(u3), 0)) { - set { - uid(u2) "user_email1@company1.io" . - } - } - - # case when both emails exist and needs merging - mutation @if(eq(len(u1), 1) AND eq(len(u2), 1) AND eq(len(u3), 0)) { - set { - _:user "user" . - _:user "Person" . - _:user "user_email1@company1.io" . - _:user "user_email2@company1.io" . - } - - delete { - uid(u1) * . - uid(u1) * . - uid(u2) * . - uid(u2) * . - } - } -}' | jq -``` - -Result (when database is empty): - -```json -{ - "data": { - "q1": [], - "q2": [], - "q3": [], - "code": "Success", - "message": "Done", - "uids": { - "user": "0x1" - } - }, - "extensions": {...} -} -``` - -Result (both emails exist and are attached to different nodes): -```json -{ - "data": { - "q1": [ - { - "uid": "0x2" - } - ], - "q2": [ - { - "uid": "0x3" - } - ], - "q3": [], - "code": "Success", - "message": "Done", - "uids": { - "user": "0x4" - } - }, - "extensions": {...} -} -``` - -Result (when both emails exist and are already attached to the same node): - -```json -{ - "data": { - "q1": [], - "q2": [], - "q3": [ - { - "uid": "0x4" - } - ], - "code": "Success", - "message": "Done", - "uids": {} - }, - "extensions": {...} -} -``` - -We can achieve the same result using `json` dataset as follows: - -```sh -curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d '{ - "query": "{q1(func: eq(email, \"user_email1@company1.io\")) @filter(not(eq(email, \"user_email2@company1.io\"))) {u1 as uid} \n q2(func: eq(email, \"user_email2@company1.io\")) @filter(not(eq(email, \"user_email1@company1.io\"))) {u2 as uid} \n q3(func: eq(email, \"user_email1@company1.io\")) @filter(eq(email, \"user_email2@company1.io\")) {u3 as uid}}", - "mutations": [ - { - "cond": "@if(eq(len(u1), 0) AND eq(len(u2), 0) AND eq(len(u3), 0))", - "set": [ - { - "uid": "_:user", - "name": "user", - "dgraph.type": "Person" - }, - { - "uid": "_:user", - "email": "user_email1@company1.io", - "dgraph.type": "Person" - }, - { - "uid": "_:user", - "email": "user_email2@company1.io", - "dgraph.type": "Person" - } - ] - }, - { - "cond": "@if(eq(len(u1), 1) AND eq(len(u2), 0) AND eq(len(u3), 0))", - "set": [ - { - "uid": "uid(u1)", - "email": "user_email2@company1.io", - "dgraph.type": "Person" - } - ] - }, - { - "cond": "@if(eq(len(u1), 1) AND eq(len(u2), 0) AND eq(len(u3), 0))", - "set": [ - { - "uid": "uid(u2)", - "email": "user_email1@company1.io", - "dgraph.type": "Person" - } - ] - }, - { - "cond": "@if(eq(len(u1), 1) AND eq(len(u2), 1) AND eq(len(u3), 0))", - "set": [ - { - "uid": "_:user", - "name": "user", - "dgraph.type": "Person" - }, - { - "uid": "_:user", - "email": "user_email1@company1.io", - "dgraph.type": "Person" - }, - { - "uid": "_:user", - "email": "user_email2@company1.io", - "dgraph.type": "Person" - } - ], - "delete": [ - { - "uid": "uid(u1)", - "name": null, - "email": null - }, - { - "uid": "uid(u2)", - "name": null, - "email": null - } - ] - } - ] -}' | jq -``` diff --git a/wiki/content/mutations/json-mutation-format.md b/wiki/content/mutations/json-mutation-format.md new file mode 100644 index 00000000000..2bee769dd5a --- /dev/null +++ b/wiki/content/mutations/json-mutation-format.md @@ -0,0 +1,612 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "JSON Mutation Format" +[menu.main] + parent = "mutations" + weight = 10 ++++ + +Mutations can also be specified using JSON objects. This can allow mutations to +be expressed in a more natural way. It also eliminates the need for apps to +have custom serialisation code, since most languages already have a JSON +marshalling library. + +When Dgraph receives a mutation as a JSON object, it first converts in into +multiple RDFs that are then processed as normal. + +Each JSON object represents a single node in the graph. + +{{% notice "note" %}} +JSON mutations are available via gRPC clients such as the Go client, JS client, and Java client, and are available to HTTP clients with [dgraph-js-http](https://github.com/dgraph-io/dgraph-js-http) and cURL. See more about cURL [here]({{< relref "#using-json-operations-via-curl" >}}) +{{% /notice %}} + +## Setting literal values + +When setting new values, the `set_json` field in the `Mutation` message should +contain a JSON object. + +Literal values can be set by adding a key/value to the JSON object. The key +represents the predicate, and the value represents the object. + +For example: +```json +{ + "name": "diggy", + "food": "pizza", + "dgraph.type": "Mascot" +} +``` +Will be converted into the RDFs: +```RDF +_:blank-0 "diggy" . +_:blank-0 "pizza" . +_:blank-0 "Mascot" . +``` + +The result of the mutation would also contain a map, which would have the uid assigned corresponding +to the key `blank-0`. You could specify your own key like + +```json +{ + "uid": "_:diggy", + "name": "diggy", + "food": "pizza", + "dgraph.type": "Mascot" +} +``` + +In this case, the assigned uids map would have a key called `diggy` with the value being the uid +assigned to it. + +## Language support + +An important difference between RDF and JSON mutations is in regards to specifying a string value's +language. In JSON, the language tag is appended to the edge _name_, not the value like in RDF. + +For example, the JSON mutation +```JSON +{ + "food": "taco", + "rating@en": "tastes good", + "rating@es": "sabe bien", + "rating@fr": "c'est bon", + "rating@it": "è buono", + "dgraph.type": "Food" +} +``` + +is equivalent to the following RDF: +```RDF +_:blank-0 "taco" . +_:blank-0 "Food" . +_:blank-0 "tastes good"@en . +_:blank-0 "sabe bien"@es . +_:blank-0 "c'est bon"@fr . +_:blank-0 "è buono"@it . +``` + +## Geolocation support + +Support for geolocation data is available in JSON. Geo-location data is entered +as a JSON object with keys "type" and "coordinates". Keep in mind we only +support indexing on the Point, Polygon, and MultiPolygon types, but we can store +other types of geolocation data. Below is an example: + +```JSON +{ + "food": "taco", + "location": { + "type": "Point", + "coordinates": [1.0, 2.0] + } +} +``` + +## Referencing existing nodes + +If a JSON object contains a field named `"uid"`, then that field is interpreted +as the UID of an existing node in the graph. This mechanism allows you to +reference existing nodes. + +For example: +```json +{ + "uid": "0x467ba0", + "food": "taco", + "rating": "tastes good", + "dgraph.type": "Food" +} +``` +Will be converted into the RDFs: +```RDF +<0x467ba0> "taco" . +<0x467ba0> "tastes good" . +<0x467ba0> "Food" . +``` + +## Edges between nodes + +Edges between nodes are represented in a similar way to literal values, except +that the object is a JSON object. + +For example: +```JSON +{ + "name": "Alice", + "friend": { + "name": "Betty" + } +} +``` +Will be converted into the RDFs: +```RDF +_:blank-0 "Alice" . +_:blank-0 _:blank-1 . +_:blank-1 "Betty" . +``` + +The result of the mutation would contain the uids assigned to `blank-0` and `blank-1` nodes. If you +wanted to return these uids under a different key, you could specify the `uid` field as a blank +node. + +```JSON +{ + "uid": "_:alice", + "name": "Alice", + "friend": { + "uid": "_:bob", + "name": "Betty" + } +} +``` + +Will be converted to: + +```RDF +_:alice "Alice" . +_:alice _:bob . +_:bob "Betty" . +``` + +Existing nodes can be referenced in the same way as when adding literal values. +E.g. to link two existing nodes: +```JSON +{ + "uid": "0x123", + "link": { + "uid": "0x456" + } +} +``` + +Will be converted to: + +```RDF +<0x123> <0x456> . +``` + +{{% notice "note" %}} +A common mistake is to attempt to use `{"uid":"0x123","link":"0x456"}`. This +will result in an error. Dgraph interprets this JSON object as setting the +`link` predicate to the string`"0x456"`, which is usually not intended. {{% +/notice %}} + +## Deleting literal values + +Deletion mutations can also be sent in JSON format. To send a delete mutation, +use the `delete_json` field instead of the `set_json` field in the `Mutation` +message. + +{{% notice "note" %}} Check the [JSON Syntax using Raw HTTP or Ratel UI]({{< relref "#json-syntax-using-raw-http-or-ratel-ui">}}) section if you're using the dgraph-js-http client or Ratel UI. {{% /notice %}} + +When using delete mutations, an existing node always has to be referenced. So +the `"uid"` field for each JSON object must be present. Predicates that should +be deleted should be set to the JSON value `null`. + +For example, to remove a food rating: +```JSON +{ + "uid": "0x467ba0", + "rating": null +} +``` + +## Deleting edges + +Deleting a single edge requires the same JSON object that would create that +edge. E.g. to delete the predicate `link` from `"0x123"` to `"0x456"`: +```JSON +{ + "uid": "0x123", + "link": { + "uid": "0x456" + } +} +``` + +All edges for a predicate emanating from a single node can be deleted at once +(corresponding to deleting `S P *`): +```JSON +{ + "uid": "0x123", + "link": null +} +``` + +If no predicates are specified, then all of the node's known outbound edges (to +other nodes and to literal values) are deleted (corresponding to deleting `S * +*`). The predicates to delete are derived using the type system. Refer to the +[RDF format]({{< relref "#delete" >}}) documentation and the section on the +[type system]({{< relref "query-language/type-system.md" >}}) for more +information: + +```JSON +{ + "uid": "0x123" +} +``` + +## Facets + +Facets can be created by using the `|` character to separate the predicate +and facet key in a JSON object field name. This is the same encoding schema +used to show facets in query results. E.g. +```JSON +{ + "name": "Carol", + "name|initial": "C", + "dgraph.type": "Person", + "friend": { + "name": "Daryl", + "friend|close": "yes", + "dgraph.type": "Person" + } +} +``` +Produces the following RDFs: +``` +_:blank-0 "Carol" (initial=C) . +_:blank-0 "Person" . +_:blank-0 _:blank-1 (close=yes) . +_:blank-1 "Daryl" . +_:blank-1 "Person" . +``` + +Facets do not contain type information but Dgraph will try to guess a type from +the input. If the value of a facet can be parsed to a number, it will be +converted to either a float or an int. If it can be parsed as a boolean, it will +be stored as a boolean. If the value is a string, it will be stored as a +datetime if the string matches one of the time formats that Dgraph recognizes +(YYYY, MM-YYYY, DD-MM-YYYY, RFC339, etc.) and as a double-quoted string +otherwise. If you do not want to risk the chance of your facet data being +misinterpreted as a time value, it is best to store numeric data as either an +int or a float. + +## Deleting Facets + +The easiest way to delete a Facet is overwriting it. When you create a new mutation for the same entity without a facet, the existing facet will be deleted automatically. + +e.g: + +```RDF +<0x1> "Carol" . +<0x1> <0x2> . +``` + +Another way to do this is by using the Upsert Block. + +> In this query below, we are deleting Facet in the Name and Friend predicates. To overwrite we need to collect the values ​​of the edges on which we are performing this operation and use the function "val(var)" to complete the overwriting. + +```sh +curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' +upsert { + query { + user as var(func: eq(name, "Carol")){ + Name as name + Friends as friend + } + } + + mutation { + set { + uid(user) val(Name) . + uid(user) uid(Friends) . + } + } +}' | jq +``` + +## Creating a list with JSON and interacting with + +Schema: + +```JSON +testList: [string] . +``` + +```JSON +{ + "testList": [ + "Grape", + "Apple", + "Strawberry", + "Banana", + "watermelon" + ] +} +``` + +Let’s then remove "Apple" from this list (Remember, it’s case sensitive): + +```graphql +{ + q(func: has(testList)) { + uid + testList + } +} +``` + +```JSON +{ + "delete": { + "uid": "0x6", #UID of the list. + "testList": "Apple" + } +} +``` + +Also you can delete multiple values +```JSON +{ + "delete": { + "uid": "0x6", + "testList": [ + "Strawberry", + "Banana", + "watermelon" + ] + } +} +``` + +{{% notice "note" %}} Check the [JSON Syntax using Raw HTTP or Ratel UI]({{< relref "#json-syntax-using-raw-http-or-ratel-ui">}}) section if you're using the dgraph-js-http client or Ratel UI. {{% /notice %}} + +Add another fruit: + +```JSON +{ + "uid": "0x6", #UID of the list. + "testList": "Pineapple" +} +``` + +## Facets in List-type with JSON +Schema: +```sh +: string @index(exact). +: [string] . +``` +To create a List-type predicate you need to specify all value in a single list. Facets for all +predicate values should be specified together. It is done in map format with index of predicate +values inside list being map key and their respective facets value as map values. Predicate values +which does not have facets values will be missing from facets map. E.g. +```JSON +{ + "set": [ + { + "uid": "_:Julian", + "name": "Julian", + "nickname": ["Jay-Jay", "Jules", "JB"], + "nickname|kind": { + "0": "first", + "1": "official", + "2": "CS-GO" + } + } + ] +} +``` +Above you see that we have three values ​​to enter the list with their respective facets. +You can run this query to check the list with facets: +```graphql +{ + q(func: eq(name,"Julian")) { + uid + nickname @facets + } +} +``` +Later, if you want to add more values ​​with facets, just do the same procedure, but this time instead of using Blank-node you must use the actual node's UID. +```JSON +{ + "set": [ + { + "uid": "0x3", + "nickname|kind": "Internet", + "nickname": "@JJ" + } + ] +} +``` +And the final result is: +```JSON +{ + "data": { + "q": [ + { + "uid": "0x3", + "nickname|kind": { + "0": "first", + "1": "Internet", + "2": "official", + "3": "CS-GO" + }, + "nickname": [ + "Jay-Jay", + "@JJ", + "Jules", + "JB" + ] + } + ] + } +} +``` + +## Specifying multiple operations + +When specifying add or delete mutations, multiple nodes can be specified +at the same time using JSON arrays. + +For example, the following JSON object can be used to add two new nodes, each +with a `name`: + +```JSON +[ + { + "name": "Edward" + }, + { + "name": "Fredric" + } +] +``` + +## JSON Syntax using Raw HTTP or Ratel UI + +This syntax can be used in the most current version of Ratel, in the [dgraph-js-http](https://github.com/dgraph-io/dgraph-js-http) client or even via cURL. + +You can also [download the Ratel UI for Linux, macOS, or Windows](https://discuss.dgraph.io/t/ratel-installer-for-linux-macos-and-windows-preview-version-ratel-update-from-v1-0-6/2884/). + +Mutate: +```JSON +{ + "set": [ + { + # One JSON obj in here + }, + { + # Another JSON obj in here for multiple operations + } + ] +} +``` + +Delete: + +Deletion operations are the same as [Deleting literal values]({{< relref "#deleting-literal-values">}}) and [Deleting edges]({{< relref "#deleting-edges">}}). + +```JSON +{ + "delete": [ + { + # One JSON obj in here + }, + { + # Another JSON obj in here for multiple operations + } + ] +} +``` + +## Using JSON operations via cURL + +First you have to configure the HTTP header to specify content-type. + +```sh +-H 'Content-Type: application/json' +``` + +{{% notice "note" %}} +In order to use `jq` for JSON formatting you need the `jq` package. See the +[`jq` downloads](https://stedolan.github.io/jq/download/) page for installation +details. You can also use Python's built in `json.tool` module with `python -m +json.tool` to do JSON formatting. +{{% /notice %}} + +```sh +curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d $' + { + "set": [ + { + "name": "Alice" + }, + { + "name": "Bob" + } + ] + }' | jq + +``` + +To delete: + +```sh +curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d $' + { + "delete": [ + { + "uid": "0xa" + } + ] + }' | jq +``` + +Mutation with a JSON file: + +```sh +curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d @data.json +``` + +where the contents of data.json looks like the following: + +```json +{ + "set": [ + { + "name": "Alice" + }, + { + "name": "Bob" + } + ] +} +``` + +The JSON file must follow the same format for mutations over HTTP: a single JSON +object with the `"set"` or `"delete"` key and an array of JSON objects for the +mutation. If you already have a file with an array of data, you can use `jq` to +transform your data to the proper format. For example, if your data.json file +looks like this: + +```json +[ + { + "name": "Alice" + }, + { + "name": "Bob" + } +] +``` + +then you can transform your data to the proper format with the following `jq` +command, where the `.` in the `jq` string represents the contents of data.json: + +```sh +cat data.json | jq '{set: .}' +``` + +``` +{ + "set": [ + { + "name": "Alice" + }, + { + "name": "Bob" + } + ] +} +``` \ No newline at end of file diff --git a/wiki/content/mutations/language-rdf-types.md b/wiki/content/mutations/language-rdf-types.md new file mode 100644 index 00000000000..0800fee5d07 --- /dev/null +++ b/wiki/content/mutations/language-rdf-types.md @@ -0,0 +1,49 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Language and RDF Types" +[menu.main] + parent = "mutations" + weight = 5 ++++ + +RDF N-Quad allows specifying a language for string values and an RDF type. Languages are written using `@lang`. For example +``` +<0x01> "Adelaide"@en . +<0x01> "Аделаида"@ru . +<0x01> "Adélaïde"@fr . +<0x01> "Person" . +``` +See also [how language strings are handled in queries]({{< relref "query-language/graphql-fundamentals.md#language-support" >}}). + +RDF types are attached to literals with the standard `^^` separator. For example +``` +<0x01> "32"^^ . +<0x01> "1985-06-08"^^ . +``` + +The supported [RDF datatypes](https://www.w3.org/TR/rdf11-concepts/#section-Datatypes) and the corresponding internal type in which the data is stored are as follows. + +| Storage Type | Dgraph type | +| ------------- | :------------: | +| <xs:string> | `string` | +| <xs:dateTime> | `dateTime` | +| <xs:date> | `datetime` | +| <xs:int> | `int` | +| <xs:integer> | `int` | +| <xs:boolean> | `bool` | +| <xs:double> | `float` | +| <xs:float> | `float` | +| <geo:geojson> | `geo` | +| <xs:password> | `password` | +| <http://www.w3.org/2001/XMLSchema#string> | `string` | +| <http://www.w3.org/2001/XMLSchema#dateTime> | `dateTime` | +| <http://www.w3.org/2001/XMLSchema#date> | `dateTime` | +| <http://www.w3.org/2001/XMLSchema#int> | `int` | +| <http://www.w3.org/2001/XMLSchema#positiveInteger> | `int` | +| <http://www.w3.org/2001/XMLSchema#integer> | `int` | +| <http://www.w3.org/2001/XMLSchema#boolean> | `bool` | +| <http://www.w3.org/2001/XMLSchema#double> | `float` | +| <http://www.w3.org/2001/XMLSchema#float> | `float` | + + +See the section on [RDF schema types]({{< relref "#rdf-types" >}}) to understand how RDF types affect mutations and storage. diff --git a/wiki/content/mutations/mutations-using-curl.md b/wiki/content/mutations/mutations-using-curl.md new file mode 100644 index 00000000000..d1be82d0a36 --- /dev/null +++ b/wiki/content/mutations/mutations-using-curl.md @@ -0,0 +1,39 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Mutations using cURL" +[menu.main] + parent = "mutations" + weight = 9 ++++ + +Mutations can be done over HTTP by making a `POST` request to an Alpha's `/mutate` endpoint. On the command line this can be done with curl. To commit the mutation, pass the parameter `commitNow=true` in the URL. + +To run a `set` mutation: + +```sh +curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' +{ + set { + _:alice "Alice" . + _:alice "Person" . + } +}' +``` + +To run a `delete` mutation: + +```sh +curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' +{ + delete { + # Example: The UID of Alice is 0x56f33 + <0x56f33> * . + } +}' +``` + +To run an RDF mutation stored in a file, use curl's `--data-binary` option so that, unlike the `-d` option, the data is not URL encoded. + +```sh +curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true --data-binary @mutation.txt +``` \ No newline at end of file diff --git a/wiki/content/mutations/triples.md b/wiki/content/mutations/triples.md new file mode 100644 index 00000000000..832bc45e914 --- /dev/null +++ b/wiki/content/mutations/triples.md @@ -0,0 +1,37 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Triples" +[menu.main] + parent = "mutations" + weight = 1 ++++ + +A mutation that adds triples is done with the `set` keyword. +``` +{ + set { + # triples in here + } +} +``` + +The input language is triples in the W3C standard [RDF N-Quad format](https://www.w3.org/TR/n-quads/). + +Each triple has the form +``` + . +``` +Meaning that the graph node identified by `subject` is linked to `object` with directed edge `predicate`. Each triple ends with a period. The subject of a triple is always a node in the graph, while the object may be a node or a value (a literal). + +For example, the triple +``` +<0x01> "Alice" . +<0x01> "Person" . +``` +Represents that graph node with ID `0x01` has a `name` with string value `"Alice"`. While triple +``` +<0x01> <0x02> . +``` +Represents that graph node with ID `0x01` is linked with the `friend` edge to node `0x02`. + +Dgraph creates a unique 64 bit identifier for every blank node in the mutation - the node's UID. A mutation can include a blank node as an identifier for the subject or object, or a known UID from a previous mutation. \ No newline at end of file diff --git a/wiki/content/mutations/upsert-block.md b/wiki/content/mutations/upsert-block.md new file mode 100644 index 00000000000..baefdaccfd5 --- /dev/null +++ b/wiki/content/mutations/upsert-block.md @@ -0,0 +1,295 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Upsert Block" +[menu.main] + parent = "mutations" + weight = 11 ++++ + +The upsert block allows performing queries and mutations in a single request. The upsert +block contains one query block and one or more than one mutation blocks. Variables defined +in the query block can be used in the mutation blocks using the `uid` and `val` function. + +In general, the structure of the upsert block is as follows: + +``` +upsert { + query + [fragment ] + mutation + [mutation ] + ... +} +``` + +Execution of an upsert block also returns the response of the query executed on the state +of the database *before mutation was executed*. To get the latest result, we should commit +the mutation and execute another query. + +## `uid` Function + +The `uid` function allows extracting UIDs from variables defined in the query block. +There are two possible outcomes based on the results of executing the query block: + +* If the variable is empty i.e. no node matched the query, the `uid` function returns a new UID in case of a `set` operation and is thus treated similar to a blank node. On the other hand, for `delete/del` operation, it returns no UID, and thus the operation becomes a no-op and is silently ignored. A blank node gets the same UID across all the mutation blocks. +* If the variable stores one or more than one UIDs, the `uid` function returns all the UIDs stored in the variable. In this case, the operation is performed on all the UIDs returned, one at a time. + +## `val` Function + +The `val` function allows extracting values from value variables. Value variables store +a mapping from UIDs to their corresponding values. Hence, `val(v)` is replaced by the value +stored in the mapping for the UID (Subject) in the N-Quad. If the variable `v` has no value +for a given UID, the mutation is silently ignored. The `val` function can be used with the +result of aggregate variables as well, in which case, all the UIDs in the mutation would +be updated with the aggregate value. + +## Example of `uid` Function + +Consider an example with the following schema: + +```sh +curl localhost:8080/alter -X POST -d $' + name: string @index(term) . + email: string @index(exact, trigram) @upsert . + age: int @index(int) .' | jq +``` + +Now, let's say we want to create a new user with `email` and `name` information. +We also want to make sure that one email has exactly one corresponding user in +the database. To achieve this, we need to first query whether a user exists +in the database with the given email. If a user exists, we use its UID +to update the `name` information. If the user doesn't exist, we create +a new user and update the `email` and `name` information. + +We can do this using the upsert block as follows: + +```sh +curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' +upsert { + query { + q(func: eq(email, "user@company1.io")) { + v as uid + name + } + } + + mutation { + set { + uid(v) "first last" . + uid(v) "user@company1.io" . + } + } +}' | jq +``` + +Result: + +```json +{ + "data": { + "q": [], + "code": "Success", + "message": "Done", + "uids": { + "uid(v)": "0x1" + } + }, + "extensions": {...} +} +``` + +The query part of the upsert block stores the UID of the user with the provided email +in the variable `v`. The mutation part then extracts the UID from variable `v`, and +stores the `name` and `email` information in the database. If the user exists, +the information is updated. If the user doesn't exist, `uid(v)` is treated +as a blank node and a new user is created as explained above. + +If we run the same mutation again, the data would just be overwritten, and no new uid is +created. Note that the `uids` map is empty in the result when the mutation is executed +again and the `data` map (key `q`) contains the uid that was created in the previous upsert. + +```json +{ + "data": { + "q": [ + { + "uid": "0x1", + "name": "first last" + } + ], + "code": "Success", + "message": "Done", + "uids": {} + }, + "extensions": {...} +} +``` + +We can achieve the same result using `json` dataset as follows: + +```sh +curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d ' +{ + "query": "{ q(func: eq(email, \\"user@company1.io\\")) {v as uid\\n name} }", + "set": { + "uid": "uid(v)", + "name": "first last", + "email": "user@company1.io" + } +}' | jq +``` + +Now, we want to add the `age` information for the same user having the same email +`user@company1.io`. We can use the upsert block to do the same as follows: + +```sh +curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' +upsert { + query { + q(func: eq(email, "user@company1.io")) { + v as uid + } + } + + mutation { + set { + uid(v) "28" . + } + } +}' | jq +``` + +Result: + +```json +{ + "data": { + "q": [ + { + "uid": "0x1" + } + ], + "code": "Success", + "message": "Done", + "uids": {} + }, + "extensions": {...} +} +``` + +Here, the query block queries for a user with `email` as `user@company1.io`. It stores +the `uid` of the user in variable `v`. The mutation block then updates the `age` of the +user by extracting the uid from the variable `v` using `uid` function. + +We can achieve the same result using `json` dataset as follows: + +```sh +curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d $' +{ + "query": "{ q(func: eq(email, \\"user@company1.io\\")) {v as uid} }", + "set":{ + "uid": "uid(v)", + "age": "28" + } +}' | jq +``` + +If we want to execute the mutation only when the user exists, we could use +[Conditional Upsert]({{< relref "#conditional-upsert" >}}). + +## Example of `val` Function + +Let's say we want to migrate the predicate `age` to `other`. We can do this using the +following mutation: + +```sh +curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' +upsert { + query { + v as var(func: has(age)) { + a as age + } + } + + mutation { + # we copy the values from the old predicate + set { + uid(v) val(a) . + } + + # and we delete the old predicate + delete { + uid(v) * . + } + } +}' | jq +``` + +Result: + +```json +{ + "data": { + "code": "Success", + "message": "Done", + "uids": {} + }, + "extensions": {...} +} +``` + +Here, variable `a` will store a mapping from all the UIDs to their `age`. The mutation +block then stores the corresponding value of `age` for each UID in the `other` predicate +and deletes the `age` predicate. + +We can achieve the same result using `json` dataset as follows: + +```sh +curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d $'{ + "query": "{ v as var(func: regexp(email, /.*@company1.io$/)) }", + "delete": { + "uid": "uid(v)", + "age": null + }, + "set": { + "uid": "uid(v)", + "other": "val(a)" + } +}' | jq +``` + +## Bulk Delete Example + +Let's say we want to delete all the users of `company1` from the database. This can be +achieved in just one query using the upsert block as follows: + +```sh +curl -H "Content-Type: application/rdf" -X POST localhost:8080/mutate?commitNow=true -d $' +upsert { + query { + v as var(func: regexp(email, /.*@company1.io$/)) + } + + mutation { + delete { + uid(v) * . + uid(v) * . + uid(v) * . + } + } +}' | jq +``` + +We can achieve the same result using `json` dataset as follows: + +```sh +curl -H "Content-Type: application/json" -X POST localhost:8080/mutate?commitNow=true -d '{ + "query": "{ v as var(func: regexp(email, /.*@company1.io$/)) }", + "delete": { + "uid": "uid(v)", + "name": null, + "email": null, + "age": null + } +}' | jq +``` \ No newline at end of file diff --git a/wiki/content/query-language/_index.md b/wiki/content/query-language/_index.md index e69de29bb2d..f9ad229f3f1 100644 --- a/wiki/content/query-language/_index.md +++ b/wiki/content/query-language/_index.md @@ -0,0 +1,9 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Query Language" +[menu.main] + url = "/query-language/" + identifier = "query-language" + weight = 4 ++++ + diff --git a/wiki/content/query-language/aggregation.md b/wiki/content/query-language/aggregation.md new file mode 100644 index 00000000000..8500e5dd1d3 --- /dev/null +++ b/wiki/content/query-language/aggregation.md @@ -0,0 +1,188 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Aggregation" +[menu.main] + parent = "query-language" + weight = 11 ++++ + +Syntax Example: `AG(val(varName))` + +For `AG` replaced with + +* `min` : select the minimum value in the value variable `varName` +* `max` : select the maximum value +* `sum` : sum all values in value variable `varName` +* `avg` : calculate the average of values in `varName` + +Schema Types: + +| Aggregation | Schema Types | +|:-----------|:--------------| +| `min` / `max` | `int`, `float`, `string`, `dateTime`, `default` | +| `sum` / `avg` | `int`, `float` | + +Aggregation can only be applied to [value variables]({{< relref "#value-variables">}}). An index is not required (the values have already been found and stored in the value variable mapping). + +An aggregation is applied at the query block enclosing the variable definition. As opposed to query variables and value variables, which are global, aggregation is computed locally. For example: +``` +A as predicateA { + ... + B as predicateB { + x as ...some value... + } + min(val(x)) +} +``` +Here, `A` and `B` are the lists of all UIDs that match these blocks. Value variable `x` is a mapping from UIDs in `B` to values. The aggregation `min(val(x))`, however, is computed for each UID in `A`. That is, it has a semantics of: for each UID in `A`, take the slice of `x` that corresponds to `A`'s outgoing `predicateB` edges and compute the aggregation for those values. + +Aggregations can themselves be assigned to value variables, making a UID to aggregation map. + + +## Min + +### Usage at Root + +Query Example: Get the min initial release date for any Harry Potter movie. + +The release date is assigned to a variable, then it is aggregated and fetched in an empty block. +{{< runnable >}} +{ + var(func: allofterms(name@en, "Harry Potter")) { + d as initial_release_date + } + me() { + min(val(d)) + } +} +{{< /runnable >}} + +### Usage at other levels + +Query Example: Directors called Steven and the date of release of their first movie, in ascending order of first movie. + +{{< runnable >}} +{ + stevens as var(func: allofterms(name@en, "steven")) { + director.film { + ird as initial_release_date + # ird is a value variable mapping a film UID to its release date + } + minIRD as min(val(ird)) + # minIRD is a value variable mapping a director UID to their first release date + } + + byIRD(func: uid(stevens), orderasc: val(minIRD)) { + name@en + firstRelease: val(minIRD) + } +} +{{< /runnable >}} + +## Max + +### Usage at Root + +Query Example: Get the max initial release date for any Harry Potter movie. + +The release date is assigned to a variable, then it is aggregated and fetched in an empty block. +{{< runnable >}} +{ + var(func: allofterms(name@en, "Harry Potter")) { + d as initial_release_date + } + me() { + max(val(d)) + } +} +{{< /runnable >}} + +### Usage at other levels + +Query Example: Quentin Tarantino's movies and date of release of the most recent movie. + +{{< runnable >}} +{ + director(func: allofterms(name@en, "Quentin Tarantino")) { + director.film { + name@en + x as initial_release_date + } + max(val(x)) + } +} +{{< /runnable >}} + +## Sum and Avg + +### Usage at Root + +Query Example: Get the sum and average of number of count of movies directed by people who have +Steven or Tom in their name. + +{{< runnable >}} +{ + var(func: anyofterms(name@en, "Steven Tom")) { + a as count(director.film) + } + + me() { + avg(val(a)) + sum(val(a)) + } +} +{{< /runnable >}} + +### Usage at other levels + +Query Example: Steven Spielberg's movies, with the number of recorded genres per movie, and the total number of genres and average genres per movie. + +{{< runnable >}} +{ + director(func: eq(name@en, "Steven Spielberg")) { + name@en + director.film { + name@en + numGenres : g as count(genre) + } + totalGenres : sum(val(g)) + genresPerMovie : avg(val(g)) + } +} +{{< /runnable >}} + + +## Aggregating Aggregates + +Aggregations can be assigned to value variables, and so these variables can in turn be aggregated. + +Query Example: For each actor in a Peter Jackson film, find the number of roles played in any movie. Sum these to find the total number of roles ever played by all actors in the movie. Then sum the lot to find the total number of roles ever played by actors who have appeared in Peter Jackson movies. Note that this demonstrates how to aggregate aggregates; the answer in this case isn't quite precise though, because actors that have appeared in multiple Peter Jackson movies are counted more than once. + +{{< runnable >}} +{ + PJ as var(func:allofterms(name@en, "Peter Jackson")) { + director.film { + starring { # starring an actor + performance.actor { + movies as count(actor.film) + # number of roles for this actor + } + perf_total as sum(val(movies)) + } + movie_total as sum(val(perf_total)) + # total roles for all actors in this movie + } + gt as sum(val(movie_total)) + } + + PJmovies(func: uid(PJ)) { + name@en + director.film (orderdesc: val(movie_total), first: 5) { + name@en + totalRoles : val(movie_total) + } + grandTotal : val(gt) + } +} +{{< /runnable >}} + diff --git a/wiki/content/query-language/alias.md b/wiki/content/query-language/alias.md new file mode 100644 index 00000000000..7979df241f7 --- /dev/null +++ b/wiki/content/query-language/alias.md @@ -0,0 +1,42 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Alias" +[menu.main] + parent = "query-language" + weight = 4 ++++ + +Syntax Examples: + +* `aliasName : predicate` +* `aliasName : predicate { ... }` +* `aliasName : varName as ...` +* `aliasName : count(predicate)` +* `aliasName : max(val(varName))` + +An alias provides an alternate name in results. Predicates, variables and aggregates can be aliased by prefixing with the alias name and `:`. Aliases do not have to be different to the original predicate name, but, within a block, an alias must be distinct from predicate names and other aliases returned in the same block. Aliases can be used to return the same predicate multiple times within a block. + +Query Example: Directors with `name` matching term `Steven`, their UID, English name, average number of actors per movie, total number of films, and the name of each film in English and French. +{{< runnable >}} +{ + ID as var(func: allofterms(name@en, "Steven")) @filter(has(director.film)) { + director.film { + num_actors as count(starring) + } + average as avg(val(num_actors)) + } + + films(func: uid(ID)) { + director_id : uid + english_name : name@en + average_actors : val(average) + num_films : count(director.film) + + films : director.film { + name : name@en + english_name : name@en + french_name : name@fr + } + } +} +{{< /runnable >}} diff --git a/wiki/content/query-language/cascade-directive.md b/wiki/content/query-language/cascade-directive.md new file mode 100644 index 00000000000..1d84ba6459f --- /dev/null +++ b/wiki/content/query-language/cascade-directive.md @@ -0,0 +1,47 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Cascade Directive" +[menu.main] + parent = "query-language" + weight = 15 ++++ + +With the `@cascade` directive, nodes that don't have all predicates specified in the query are removed. This can be useful in cases where some filter was applied or if nodes might not have all listed predicates. + + +Query Example: Harry Potter movies, with each actor and characters played. With `@cascade`, any character not played by an actor called Warwick is removed, as is any Harry Potter movie without any actors called Warwick. Without `@cascade`, every character is returned, but only those played by actors called Warwick also have the actor name. +{{< runnable >}} +{ + HP(func: allofterms(name@en, "Harry Potter")) @cascade { + name@en + starring{ + performance.character { + name@en + } + performance.actor @filter(allofterms(name@en, "Warwick")){ + name@en + } + } + } +} +{{< /runnable >}} + +You can apply `@cascade` on inner query blocks as well. +{{< runnable >}} +{ + HP(func: allofterms(name@en, "Harry Potter")) { + name@en + genre { + name@en + } + starring @cascade { + performance.character { + name@en + } + performance.actor @filter(allofterms(name@en, "Warwick")){ + name@en + } + } + } +} +{{< /runnable >}} \ No newline at end of file diff --git a/wiki/content/query-language/connecting-filters.md b/wiki/content/query-language/connecting-filters.md new file mode 100644 index 00000000000..880f33e06e6 --- /dev/null +++ b/wiki/content/query-language/connecting-filters.md @@ -0,0 +1,27 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Connecting Filters" +[menu.main] + parent = "query-language" + weight = 3 ++++ + +Within `@filter` multiple functions can be used with boolean connectives. + +## AND, OR and NOT + +Connectives `AND`, `OR` and `NOT` join filters and can be built into arbitrarily complex filters, such as `(NOT A OR B) AND (C AND NOT (D OR E))`. Note that, `NOT` binds more tightly than `AND` which binds more tightly than `OR`. + +Query Example : All Steven Spielberg movies that contain either both "indiana" and "jones" OR both "jurassic" and "park". + +{{< runnable >}} +{ + me(func: eq(name@en, "Steven Spielberg")) @filter(has(director.film)) { + name@en + director.film @filter(allofterms(name@en, "jones indiana") OR allofterms(name@en, "jurassic park")) { + uid + name@en + } + } +} +{{< /runnable >}} \ No newline at end of file diff --git a/wiki/content/query-language/count.md b/wiki/content/query-language/count.md new file mode 100644 index 00000000000..e7e42dd8831 --- /dev/null +++ b/wiki/content/query-language/count.md @@ -0,0 +1,62 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Count" +[menu.main] + parent = "query-language" + weight = 6 ++++ + +Syntax Examples: + +* `count(predicate)` +* `count(uid)` + +The form `count(predicate)` counts how many `predicate` edges lead out of a node. + +The form `count(uid)` counts the number of UIDs matched in the enclosing block. + +Query Example: The number of films acted in by each actor with `Orlando` in their name. + +{{< runnable >}} +{ + me(func: allofterms(name@en, "Orlando")) @filter(has(actor.film)) { + name@en + count(actor.film) + } +} +{{< /runnable >}} + +Count can be used at root and [aliased]({{< relref "#alias">}}). + +Query Example: Count of directors who have directed more than five films. When used at the query root, the [count index]({{< relref "#count-index">}}) is required. + +{{< runnable >}} +{ + directors(func: gt(count(director.film), 5)) { + totalDirectors : count(uid) + } +} +{{< /runnable >}} + + +Count can be assigned to a [value variable]({{< relref "#value-variables">}}). + +Query Example: The actors of Ang Lee's "Eat Drink Man Woman" ordered by the number of movies acted in. + +{{< runnable >}} +{ + var(func: allofterms(name@en, "eat drink man woman")) { + starring { + actors as performance.actor { + totalRoles as count(actor.film) + } + } + } + + edmw(func: uid(actors), orderdesc: val(totalRoles)) { + name@en + name@zh + totalRoles : val(totalRoles) + } +} +{{< /runnable >}} diff --git a/wiki/content/query-language/debug.md b/wiki/content/query-language/debug.md new file mode 100644 index 00000000000..ccdc69fedcd --- /dev/null +++ b/wiki/content/query-language/debug.md @@ -0,0 +1,59 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Debug" +[menu.main] + parent = "query-language" + weight = 19 ++++ + +For the purposes of debugging, you can attach a query parameter `debug=true` to a query. Attaching this parameter lets you retrieve the `uid` attribute for all the entities along with the `server_latency` and `start_ts` information under the `extensions` key of the response. + +- `parsing_ns`: Latency in nanoseconds to parse the query. +- `processing_ns`: Latency in nanoseconds to process the query. +- `encoding_ns`: Latency in nanoseconds to encode the JSON response. +- `start_ts`: The logical start timestamp of the transaction. + +Query with debug as a query parameter +```sh +curl -H "Content-Type: application/graphql+-" http://localhost:8080/query?debug=true -XPOST -d $'{ + tbl(func: allofterms(name@en, "The Big Lebowski")) { + name@en + } +}' | python -m json.tool | less +``` + +Returns `uid` and `server_latency` +``` +{ + "data": { + "tbl": [ + { + "uid": "0x41434", + "name@en": "The Big Lebowski" + }, + { + "uid": "0x145834", + "name@en": "The Big Lebowski 2" + }, + { + "uid": "0x2c8a40", + "name@en": "Jeffrey \"The Big\" Lebowski" + }, + { + "uid": "0x3454c4", + "name@en": "The Big Lebowski" + } + ], + "extensions": { + "server_latency": { + "parsing_ns": 18559, + "processing_ns": 802990982, + "encoding_ns": 1177565 + }, + "txn": { + "start_ts": 40010 + } + } + } +} +``` \ No newline at end of file diff --git a/wiki/content/query-language/expand-predicates.md b/wiki/content/query-language/expand-predicates.md new file mode 100644 index 00000000000..bd5f94dd828 --- /dev/null +++ b/wiki/content/query-language/expand-predicates.md @@ -0,0 +1,84 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Expand Predicates" +[menu.main] + parent = "query-language" + weight = 14 ++++ + +The `expand()` function can be used to expand the predicates out of a node. To +use `expand()`, the [type system]({{< relref "#type-system" >}}) is required. +Refer to the section on the type system to check how to set the types +nodes. The rest of this section assumes familiarity with that section. + +There are two ways to use the `expand` function. + +* Types can be passed to `expand()` to expand all the predicates in the type. + +Query example: List the movies from the Harry Potter series: + +{{< runnable >}} +{ + all(func: eq(name@en, "Harry Potter")) @filter(type(Series)) { + name@en + expand(Series) { + name@en + expand(Film) + } + } +} +{{< /runnable >}} + +* If `_all_` is passed as an argument to `expand()`, the predicates to be +expanded will be the union of fields in the types assigned to a given node. + +The `_all_` keyword requires that the nodes have types. Dgraph will look for all +the types that have been assigned to a node, query the types to check which +attributes they have, and use those to compute the list of predicates to expand. + +For example, consider a node that has types `Animal` and `Pet`, which have +the following definitions: + +``` +type Animal { + name + species + dob +} + +type Pet { + owner + veterinarian +} +``` + +When `expand(_all_)` is called on this node, Dgraph will first check which types +the node has (`Animal` and `Pet`). Then it will get the definitions of `Animal` +and `Pet` and build a list of predicates from their type definitions. + +``` +name +species +dob +owner +veterinarian +``` + +{{% notice "note" %}} +For `string` predicates, `expand` only returns values not tagged with a language +(see [language preference]({{< relref "#language-support" >}})). So it's often +required to add `name@fr` or `name@.` as well to an expand query. +{{% /notice %}} + +## Filtering during expand + +Expand queries support filters on the type of the outgoing edge. For example, +`expand(_all_) @filter(type(Person))` will expand on all the predicates but will +only include edges whose destination node is of type Person. Since only nodes of +type `uid` can have a type, this query will filter out any scalar values. + +Please note that other type of filters and directives are not currently supported +with the expand function. The filter needs to use the `type` function for the +filter to be allowed. Logical `AND` and `OR` operations are allowed. For +example, `expand(_all_) @filter(type(Person) OR type(Animal))` will only expand +the edges that point to nodes of either type. \ No newline at end of file diff --git a/wiki/content/query-language/facets.md b/wiki/content/query-language/facets.md new file mode 100644 index 00000000000..4a8fce4626c --- /dev/null +++ b/wiki/content/query-language/facets.md @@ -0,0 +1,389 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Facets : Edge attributes" +[menu.main] + parent = "query-language" + weight = 22 ++++ + +Dgraph supports facets --- **key value pairs on edges** --- as an extension to RDF triples. That is, facets add properties to edges, rather than to nodes. +For example, a `friend` edge between two nodes may have a boolean property of `close` friendship. +Facets can also be used as `weights` for edges. + +Though you may find yourself leaning towards facets many times, they should not be misused. It wouldn't be correct modeling to give the `friend` edge a facet `date_of_birth`. That should be an edge for the friend. However, a facet like `start_of_friendship` might be appropriate. Facets are however not first class citizen in Dgraph like predicates. + +Facet keys are strings and values can be `string`, `bool`, `int`, `float` and `dateTime`. +For `int` and `float`, only 32-bit signed integers and 64-bit floats are accepted. + +The following mutation is used throughout this section on facets. The mutation adds data for some peoples and, for example, records a `since` facet in `mobile` and `car` to record when Alice bought the car and started using the mobile number. + +First we add some schema. +```sh +curl localhost:8080/alter -XPOST -d $' + name: string @index(exact, term) . + rated: [uid] @reverse @count . +' | python -m json.tool | less +``` + +```sh +curl -H "Content-Type: application/rdf" localhost:8080/mutate?commitNow=true -XPOST -d $' +{ + set { + + # -- Facets on scalar predicates + _:alice "Alice" . + _:alice "Person" . + _:alice "040123456" (since=2006-01-02T15:04:05) . + _:alice "MA0123" (since=2006-02-02T13:01:09, first=true) . + + _:bob "Bob" . + _:bob "Person" . + _:bob "MA0134" (since=2006-02-02T13:01:09) . + + _:charlie "Charlie" . + _:charlie "Person" . + _:dave "Dave" . + _:dave "Person" . + + + # -- Facets on UID predicates + _:alice _:bob (close=true, relative=false) . + _:alice _:charlie (close=false, relative=true) . + _:alice _:dave (close=true, relative=true) . + + + # -- Facets for variable propagation + _:movie1 "Movie 1" . + _:movie1 "Movie" . + _:movie2 "Movie 2" . + _:movie2 "Movie" . + _:movie3 "Movie 3" . + _:movie3 "Movie" . + + _:alice _:movie1 (rating=3) . + _:alice _:movie2 (rating=2) . + _:alice _:movie3 (rating=5) . + + _:bob _:movie1 (rating=5) . + _:bob _:movie2 (rating=5) . + _:bob _:movie3 (rating=5) . + + _:charlie _:movie1 (rating=2) . + _:charlie _:movie2 (rating=5) . + _:charlie _:movie3 (rating=1) . + } +}' | python -m json.tool | less +``` + +## Facets on scalar predicates + + +Querying `name`, `mobile` and `car` of Alice gives the same result as without facets. + +{{< runnable >}} +{ + data(func: eq(name, "Alice")) { + name + mobile + car + } +} +{{}} + + +The syntax `@facets(facet-name)` is used to query facet data. For Alice the `since` facet for `mobile` and `car` are queried as follows. + +{{< runnable >}} +{ + data(func: eq(name, "Alice")) { + name + mobile @facets(since) + car @facets(since) + } +} +{{}} + + +Facets are returned at the same level as the corresponding edge and have keys like edge|facet. + +All facets on an edge are queried with `@facets`. + +{{< runnable >}} +{ + data(func: eq(name, "Alice")) { + name + mobile @facets + car @facets + } +} +{{}} + +## Facets i18n + +Facets keys and values can use language-specific characters directly when mutating. But facet keys need to be enclosed in angle brackets `<>` when querying. This is similar to predicates. See [Predicates i18n](#predicates-i18n) for more info. + +{{% notice "note" %}}Dgraph supports [Internationalized Resource Identifiers](https://en.wikipedia.org/wiki/Internationalized_Resource_Identifier) (IRIs) for facet keys when querying.{{% /notice %}} + +Example: +``` +{ + set { + _:person1 "Daniel" (वंश="स्पेनी", ancestry="Español") . + _:person1 "Person" . + _:person2 "Raj" (वंश="हिंदी", ancestry="हिंदी") . + _:person2 "Person" . + _:person3 "Zhang Wei" (वंश="चीनी", ancestry="中文") . + _:person3 "Person" . + } +} +``` +Query, notice the `<>`'s: +``` +{ + q(func: has(name)) { + name @facets(<वंश>) + } +} +``` + +## Alias with facets + +Alias can be specified while requesting specific predicates. Syntax is similar to how would request +alias for other predicates. `orderasc` and `orderdesc` are not allowed as alias as they have special +meaning. Apart from that anything else can be set as alias. + +Here we set `car_since`, `close_friend` alias for `since`, `close` facets respectively. +{{< runnable >}} +{ + data(func: eq(name, "Alice")) { + name + mobile + car @facets(car_since: since) + friend @facets(close_friend: close) { + name + } + } +} +{{}} + + + +## Facets on UID predicates + +Facets on UID edges work similarly to facets on value edges. + +For example, `friend` is an edge with facet `close`. +It was set to true for friendship between Alice and Bob +and false for friendship between Alice and Charlie. + +A query for friends of Alice. + +{{< runnable >}} +{ + data(func: eq(name, "Alice")) { + name + friend { + name + } + } +} +{{}} + +A query for friends and the facet `close` with `@facets(close)`. + +{{< runnable >}} +{ + data(func: eq(name, "Alice")) { + name + friend @facets(close) { + name + } + } +} +{{}} + + +For uid edges like `friend`, facets go to the corresponding child under the key edge|facet. In the above +example you can see that the `close` facet on the edge between Alice and Bob appears with the key `friend|close` +along with Bob's results. + +{{< runnable >}} +{ + data(func: eq(name, "Alice")) { + name + friend @facets { + name + car @facets + } + } +} +{{}} + +Bob has a `car` and it has a facet `since`, which, in the results, is part of the same object as Bob +under the key car|since. +Also, the `close` relationship between Bob and Alice is part of Bob's output object. +Charlie does not have `car` edge and thus only UID facets. + +## Filtering on facets + +Dgraph supports filtering edges based on facets. +Filtering works similarly to how it works on edges without facets and has the same available functions. + + +Find Alice's close friends +{{< runnable >}} +{ + data(func: eq(name, "Alice")) { + friend @facets(eq(close, true)) { + name + } + } +} +{{}} + + +To return facets as well as filter, add another `@facets()` to the query. + +{{< runnable >}} +{ + data(func: eq(name, "Alice")) { + friend @facets(eq(close, true)) @facets(relative) { # filter close friends and give relative status + name + } + } +} +{{}} + + +Facet queries can be composed with `AND`, `OR` and `NOT`. + +{{< runnable >}} +{ + data(func: eq(name, "Alice")) { + friend @facets(eq(close, true) AND eq(relative, true)) @facets(relative) { # filter close friends in my relation + name + } + } +} +{{}} + + +## Sorting using facets + +Sorting is possible for a facet on a uid edge. Here we sort the movies rated by Alice, Bob and +Charlie by their `rating` which is a facet. + +{{< runnable >}} +{ + me(func: anyofterms(name, "Alice Bob Charlie")) { + name + rated @facets(orderdesc: rating) { + name + } + } +} +{{}} + + + +## Assigning Facet values to a variable + +Facets on UID edges can be stored in [value variables]({{< relref "#value-variables" >}}). The variable is a map from the edge target to the facet value. + +Alice's friends reported by variables for `close` and `relative`. +{{< runnable >}} +{ + var(func: eq(name, "Alice")) { + friend @facets(a as close, b as relative) + } + + friend(func: uid(a)) { + name + val(a) + } + + relative(func: uid(b)) { + name + val(b) + } +} +{{}} + + +## Facets and Variable Propagation + +Facet values of `int` and `float` can be assigned to variables and thus the [values propagate]({{< relref "#variable-propagation" >}}). + + +Alice, Bob and Charlie each rated every movie. A value variable on facet `rating` maps movies to ratings. A query that reaches a movie through multiple paths sums the ratings on each path. The following sums Alice, Bob and Charlie's ratings for the three movies. + +{{}} +{ + var(func: anyofterms(name, "Alice Bob Charlie")) { + num_raters as math(1) + rated @facets(r as rating) { + total_rating as math(r) # sum of the 3 ratings + average_rating as math(total_rating / num_raters) + } + } + data(func: uid(total_rating)) { + name + val(total_rating) + val(average_rating) + } + +} +{{}} + + + +## Facets and Aggregation + +Facet values assigned to value variables can be aggregated. + +{{< runnable >}} +{ + data(func: eq(name, "Alice")) { + name + rated @facets(r as rating) { + name + } + avg(val(r)) + } +} +{{}} + + +Note though that `r` is a map from movies to the sum of ratings on edges in the query reaching the movie. Hence, the following does not correctly calculate the average ratings for Alice and Bob individually --- it calculates 2 times the average of both Alice and Bob's ratings. + +{{< runnable >}} + +{ + data(func: anyofterms(name, "Alice Bob")) { + name + rated @facets(r as rating) { + name + } + avg(val(r)) + } +} +{{}} + +Calculating the average ratings of users requires a variable that maps users to the sum of their ratings. + +{{< runnable >}} + +{ + var(func: has(rated)) { + num_rated as math(1) + rated @facets(r as rating) { + avg_rating as math(r / num_rated) + } + } + + data(func: uid(avg_rating)) { + name + val(avg_rating) + } +} +{{}} \ No newline at end of file diff --git a/wiki/content/query-language/fragments.md b/wiki/content/query-language/fragments.md new file mode 100644 index 00000000000..278a912aa5c --- /dev/null +++ b/wiki/content/query-language/fragments.md @@ -0,0 +1,26 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Fragments" +[menu.main] + parent = "query-language" + weight = 25 ++++ + +`fragment` keyword allows you to define new fragments that can be referenced in a query, as per [GraphQL specification](https://facebook.github.io/graphql/#sec-Language.Fragments). The point is that if there are multiple parts which query the same set of fields, you can define a fragment and refer to it multiple times instead. Fragments can be nested inside fragments, but no cycles are allowed. Here is one contrived example. + +```sh +curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $' +query { + debug(func: uid(1)) { + name@en + ...TestFrag + } +} +fragment TestFrag { + initial_release_date + ...TestFragB +} +fragment TestFragB { + country +}' | python -m json.tool | less +``` \ No newline at end of file diff --git a/wiki/content/query-language/functions.md b/wiki/content/query-language/functions.md new file mode 100644 index 00000000000..d334ce4631c --- /dev/null +++ b/wiki/content/query-language/functions.md @@ -0,0 +1,642 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Functions" +[menu.main] + parent = "query-language" + weight = 2 ++++ + +Functions allow filtering based on properties of nodes or [variables]({{}}). Functions can be applied in the query root or in filters. + +{{% notice "note" %}}Support for filters on non-indexed predicates was added with Dgraph `v1.2.0`. +{{% /notice %}} + +Comparison functions (`eq`, `ge`, `gt`, `le`, `lt`) in the query root (aka `func:`) can only +be applied on [indexed predicates]({{< relref "#indexing">}}). Since v1.2, comparison functions +can now be used on [@filter]({{}}) directives even on predicates +that have not been indexed. +Filtering on non-indexed predicates can be slow for large datasets, as they require +iterating over all of the possible values at the level where the filter is being used. + +All other functions, in the query root or in the filter can only be applied to indexed predicates. + +For functions on string valued predicates, if no language preference is given, the function is applied to all languages and strings without a language tag; if a language preference is given, the function is applied only to strings of the given language. + +## Term matching + +### allofterms + +Syntax Example: `allofterms(predicate, "space-separated term list")` + +Schema Types: `string` + +Index Required: `term` + + +Matches strings that have all specified terms in any order; case insensitive. +#### Usage at root + +Query Example: All nodes that have `name` containing terms `indiana` and `jones`, returning the English name and genre in English. + +{{< runnable >}} +{ + me(func: allofterms(name@en, "jones indiana")) { + name@en + genre { + name@en + } + } +} +{{< /runnable >}} +#### Usage as Filter + +Query Example: All Steven Spielberg films that contain the words `indiana` and `jones`. The `@filter(has(director.film))` removes nodes with name Steven Spielberg that aren't the director --- the data also contains a character in a film called Steven Spielberg. + +{{< runnable >}} +{ + me(func: eq(name@en, "Steven Spielberg")) @filter(has(director.film)) { + name@en + director.film @filter(allofterms(name@en, "jones indiana")) { + name@en + } + } +} +{{< /runnable >}} + +### anyofterms + + +Syntax Example: `anyofterms(predicate, "space-separated term list")` + +Schema Types: `string` + +Index Required: `term` + + +Matches strings that have any of the specified terms in any order; case insensitive. +#### Usage at root + +Query Example: All nodes that have a `name` containing either `poison` or `peacock`. Many of the returned nodes are movies, but people like Joan Peacock also meet the search terms because without a [cascade directive]({{< relref "#cascade-directive">}}) the query doesn't require a genre. + +{{< runnable >}} +{ + me(func:anyofterms(name@en, "poison peacock")) { + name@en + genre { + name@en + } + } +} +{{< /runnable >}} + +#### Usage as filter + +Query Example: All Steven Spielberg movies that contain `war` or `spies`. The `@filter(has(director.film))` removes nodes with name Steven Spielberg that aren't the director --- the data also contains a character in a film called Steven Spielberg. + +{{< runnable >}} +{ + me(func: eq(name@en, "Steven Spielberg")) @filter(has(director.film)) { + name@en + director.film @filter(anyofterms(name@en, "war spies")) { + name@en + } + } +} +{{< /runnable >}} + +## Regular Expressions + + +Syntax Examples: `regexp(predicate, /regular-expression/)` or case insensitive `regexp(predicate, /regular-expression/i)` + +Schema Types: `string` + +Index Required: `trigram` + + +Matches strings by regular expression. The regular expression language is that of [go regular expressions](https://golang.org/pkg/regexp/syntax/). + +Query Example: At root, match nodes with `Steven Sp` at the start of `name`, followed by any characters. For each such matched uid, match the films containing `ryan`. Note the difference with `allofterms`, which would match only `ryan` but regular expression search will also match within terms, such as `bryan`. + +{{< runnable >}} +{ + directors(func: regexp(name@en, /^Steven Sp.*$/)) { + name@en + director.film @filter(regexp(name@en, /ryan/i)) { + name@en + } + } +} +{{< /runnable >}} + +### Technical details + +A Trigram is a substring of three continuous runes. For example, `Dgraph` has trigrams `Dgr`, `gra`, `rap`, `aph`. + +To ensure efficiency of regular expression matching, Dgraph uses [trigram indexing](https://swtch.com/~rsc/regexp/regexp4.html). That is, Dgraph converts the regular expression to a trigram query, uses the trigram index and trigram query to find possible matches and applies the full regular expression search only to the possibles. +### Writing Efficient Regular Expressions and Limitations + +Keep the following in mind when designing regular expression queries. + +- At least one trigram must be matched by the regular expression (patterns shorter than 3 runes are not supported). That is, Dgraph requires regular expressions that can be converted to a trigram query. +- The number of alternative trigrams matched by the regular expression should be as small as possible (`[a-zA-Z][a-zA-Z][0-9]` is not a good idea). Many possible matches means the full regular expression is checked against many strings; where as, if the expression enforces more trigrams to match, Dgraph can make better use of the index and check the full regular expression against a smaller set of possible matches. +- Thus, the regular expression should be as precise as possible. Matching longer strings means more required trigrams, which helps to effectively use the index. +- If repeat specifications (`*`, `+`, `?`, `{n,m}`) are used, the entire regular expression must not match the _empty_ string or _any_ string: for example, `*` may be used like `[Aa]bcd*` but not like `(abcd)*` or `(abcd)|((defg)*)` +- Repeat specifications after bracket expressions (e.g. `[fgh]{7}`, `[0-9]+` or `[a-z]{3,5}`) are often considered as matching any string because they match too many trigrams. +- If the partial result (for subset of trigrams) exceeds 1000000 uids during index scan, the query is stopped to prohibit expensive queries. + +## Fuzzy matching + + +Syntax: `match(predicate, string, distance)` + +Schema Types: `string` + +Index Required: `trigram` + +Matches predicate values by calculating the [Levenshtein distance](https://en.wikipedia.org/wiki/Levenshtein_distance) to the string, +also known as _fuzzy matching_. The distance parameter must be greater than zero (0). Using a greater distance value can yield more but less accurate results. + +Query Example: At root, fuzzy match nodes similar to `Stephen`, with a distance value of less than or equal to 8. + +{{< runnable >}} +{ + directors(func: match(name@en, Stephen, 8)) { + name@en + } +} +{{< /runnable >}} + +Same query with a Levenshtein distance of 3. + +{{< runnable >}} +{ + directors(func: match(name@en, Stephen, 3)) { + name@en + } +} +{{< /runnable >}} + +## Full-Text Search + +Syntax Examples: `alloftext(predicate, "space-separated text")` and `anyoftext(predicate, "space-separated text")` + +Schema Types: `string` + +Index Required: `fulltext` + + +Apply full-text search with stemming and stop words to find strings matching all or any of the given text. + +The following steps are applied during index generation and to process full-text search arguments: + +1. Tokenization (according to Unicode word boundaries). +1. Conversion to lowercase. +1. Unicode-normalization (to [Normalization Form KC](http://unicode.org/reports/tr15/#Norm_Forms)). +1. Stemming using language-specific stemmer (if supported by language). +1. Stop words removal (if supported by language). + +Dgraph uses [bleve](https://github.com/blevesearch/bleve) for its full-text search indexing. See also the bleve language specific [stop word lists](https://github.com/blevesearch/bleve/tree/master/analysis/lang). + +Following table contains all supported languages, corresponding country-codes, stemming and stop words filtering support. + +| Language | Country Code | Stemming | Stop words | +| :--------: | :----------: | :------: | :--------: | +| Arabic | ar | ✓ | ✓ | +| Armenian | hy | | ✓ | +| Basque | eu | | ✓ | +| Bulgarian | bg | | ✓ | +| Catalan | ca | | ✓ | +| Chinese | zh | ✓ | ✓ | +| Czech | cs | | ✓ | +| Danish | da | ✓ | ✓ | +| Dutch | nl | ✓ | ✓ | +| English | en | ✓ | ✓ | +| Finnish | fi | ✓ | ✓ | +| French | fr | ✓ | ✓ | +| Gaelic | ga | | ✓ | +| Galician | gl | | ✓ | +| German | de | ✓ | ✓ | +| Greek | el | | ✓ | +| Hindi | hi | ✓ | ✓ | +| Hungarian | hu | ✓ | ✓ | +| Indonesian | id | | ✓ | +| Italian | it | ✓ | ✓ | +| Japanese | ja | ✓ | ✓ | +| Korean | ko | ✓ | ✓ | +| Norwegian | no | ✓ | ✓ | +| Persian | fa | | ✓ | +| Portuguese | pt | ✓ | ✓ | +| Romanian | ro | ✓ | ✓ | +| Russian | ru | ✓ | ✓ | +| Spanish | es | ✓ | ✓ | +| Swedish | sv | ✓ | ✓ | +| Turkish | tr | ✓ | ✓ | + + +Query Example: All names that have `dog`, `dogs`, `bark`, `barks`, `barking`, etc. Stop word removal eliminates `the` and `which`. + +{{< runnable >}} +{ + movie(func:alloftext(name@en, "the dog which barks")) { + name@en + } +} +{{< /runnable >}} + +## Inequality +### equal to + +Syntax Examples: + +* `eq(predicate, value)` +* `eq(val(varName), value)` +* `eq(predicate, val(varName))` +* `eq(count(predicate), value)` +* `eq(predicate, [val1, val2, ..., valN])` +* `eq(predicate, [$var1, "value", ..., $varN])` + +Schema Types: `int`, `float`, `bool`, `string`, `dateTime` + +Index Required: An index is required for the `eq(predicate, ...)` forms (see table below) when used at query root. For `count(predicate)` at the query root, the `@count` index is required. For variables the values have been calculated as part of the query, so no index is required. + +| Type | Index Options | +|:-----------|:--------------| +| `int` | `int` | +| `float` | `float` | +| `bool` | `bool` | +| `string` | `exact`, `hash` | +| `dateTime` | `dateTime` | + +Test for equality of a predicate or variable to a value or find in a list of values. + +The boolean constants are `true` and `false`, so with `eq` this becomes, for example, `eq(boolPred, true)`. + +Query Example: Movies with exactly thirteen genres. + +{{< runnable >}} +{ + me(func: eq(count(genre), 13)) { + name@en + genre { + name@en + } + } +} +{{< /runnable >}} + + +Query Example: Directors called Steven who have directed 1,2 or 3 movies. + +{{< runnable >}} +{ + steve as var(func: allofterms(name@en, "Steven")) { + films as count(director.film) + } + + stevens(func: uid(steve)) @filter(eq(val(films), [1,2,3])) { + name@en + numFilms : val(films) + } +} +{{< /runnable >}} + +### less than, less than or equal to, greater than and greater than or equal to + +Syntax Examples: for inequality `IE` + +* `IE(predicate, value)` +* `IE(val(varName), value)` +* `IE(predicate, val(varName))` +* `IE(count(predicate), value)` + +With `IE` replaced by + +* `le` less than or equal to +* `lt` less than +* `ge` greater than or equal to +* `gt` greather than + +Schema Types: `int`, `float`, `string`, `dateTime` + +Index required: An index is required for the `IE(predicate, ...)` forms (see table below) when used at query root. For `count(predicate)` at the query root, the `@count` index is required. For variables the values have been calculated as part of the query, so no index is required. + +| Type | Index Options | +|:-----------|:--------------| +| `int` | `int` | +| `float` | `float` | +| `string` | `exact` | +| `dateTime` | `dateTime` | + + +Query Example: Ridley Scott movies released before 1980. + +{{< runnable >}} +{ + me(func: eq(name@en, "Ridley Scott")) { + name@en + director.film @filter(lt(initial_release_date, "1980-01-01")) { + initial_release_date + name@en + } + } +} +{{< /runnable >}} + + +Query Example: Movies with directors with `Steven` in `name` and have directed more than `100` actors. + +{{< runnable >}} +{ + ID as var(func: allofterms(name@en, "Steven")) { + director.film { + num_actors as count(starring) + } + total as sum(val(num_actors)) + } + + dirs(func: uid(ID)) @filter(gt(val(total), 100)) { + name@en + total_actors : val(total) + } +} +{{< /runnable >}} + + + +Query Example: A movie in each genre that has over 30000 movies. Because there is no order specified on genres, the order will be by UID. The [count index]({{< relref "#count-index">}}) records the number of edges out of nodes and makes such queries more . + +{{< runnable >}} +{ + genre(func: gt(count(~genre), 30000)){ + name@en + ~genre (first:1) { + name@en + } + } +} +{{< /runnable >}} + +Query Example: Directors called Steven and their movies which have `initial_release_date` greater +than that of the movie Minority Report. + +{{< runnable >}} +{ + var(func: eq(name@en,"Minority Report")) { + d as initial_release_date + } + + me(func: eq(name@en, "Steven Spielberg")) { + name@en + director.film @filter(ge(initial_release_date, val(d))) { + initial_release_date + name@en + } + } +} +{{< /runnable >}} + +## uid + +Syntax Examples: + +* `q(func: uid()) ` +* `predicate @filter(uid(, ..., ))` +* `predicate @filter(uid(a))` for variable `a` +* `q(func: uid(a,b))` for variables `a` and `b` + + +Filters nodes at the current query level to only nodes in the given set of UIDs. + +For query variable `a`, `uid(a)` represents the set of UIDs stored in `a`. For value variable `b`, `uid(b)` represents the UIDs from the UID to value map. With two or more variables, `uid(a,b,...)` represents the union of all the variables. + +`uid()`, like an identity function, will return the requested UID even if the node does not have any edges. + +Query Example: If the UID of a node is known, values for the node can be read directly. The films of Priyanka Chopra by known UID + +{{< runnable >}} +{ + films(func: uid(0x2c964)) { + name@hi + actor.film { + performance.film { + name@hi + } + } + } +} +{{< /runnable >}} + + + +Query Example: The films of Taraji Henson by genre. +{{< runnable >}} +{ + var(func: allofterms(name@en, "Taraji Henson")) { + actor.film { + F as performance.film { + G as genre + } + } + } + + Taraji_films_by_genre(func: uid(G)) { + genre_name : name@en + films : ~genre @filter(uid(F)) { + film_name : name@en + } + } +} +{{< /runnable >}} + + + +Query Example: Taraji Henson films ordered by number of genres, with genres listed in order of how many films Taraji has made in each genre. +{{< runnable >}} +{ + var(func: allofterms(name@en, "Taraji Henson")) { + actor.film { + F as performance.film { + G as count(genre) + genre { + C as count(~genre @filter(uid(F))) + } + } + } + } + + Taraji_films_by_genre_count(func: uid(G), orderdesc: val(G)) { + film_name : name@en + genres : genre (orderdesc: val(C)) { + genre_name : name@en + } + } +} +{{< /runnable >}} + +## uid_in + + +Syntax Examples: + +* `q(func: ...) @filter(uid_in(predicate, ))` +* `predicate1 @filter(uid_in(predicate2, ))` + +Schema Types: UID + +Index Required: none + +While the `uid` function filters nodes at the current level based on UID, function `uid_in` allows looking ahead along an edge to check that it leads to a particular UID. This can often save an extra query block and avoids returning the edge. + +`uid_in` cannot be used at root, it accepts one UID constant as its argument (not a variable). + + +Query Example: The collaborations of Marc Caro and Jean-Pierre Jeunet (UID 0x99706). If the UID of Jean-Pierre Jeunet is known, querying this way removes the need to have a block extracting his UID into a variable and the extra edge traversal and filter for `~director.film`. +{{< runnable >}} +{ + caro(func: eq(name@en, "Marc Caro")) { + name@en + director.film @filter(uid_in(~director.film, 0x99706)) { + name@en + } + } +} +{{< /runnable >}} + +## has + +Syntax Examples: `has(predicate)` + +Schema Types: all + +Determines if a node has a particular predicate. + +Query Example: First five directors and all their movies that have a release date recorded. Directors have directed at least one film --- equivalent semantics to `gt(count(director.film), 0)`. +{{< runnable >}} +{ + me(func: has(director.film), first: 5) { + name@en + director.film @filter(has(initial_release_date)) { + initial_release_date + name@en + } + } +} +{{< /runnable >}} +## Geolocation + +{{% notice "note" %}} As of now we only support indexing Point, Polygon and MultiPolygon [geometry types](https://github.com/twpayne/go-geom#geometry-types). However, Dgraph can store other types of gelocation data. {{% /notice %}} + +Note that for geo queries, any polygon with holes is replace with the outer loop, ignoring holes. Also, as for version 0.7.7 polygon containment checks are approximate. +### Mutations + +To make use of the geo functions you would need an index on your predicate. +``` +loc: geo @index(geo) . +``` + +Here is how you would add a `Point`. + +``` +{ + set { + <_:0xeb1dde9c> "{'type':'Point','coordinates':[-122.4220186,37.772318]}"^^ . + <_:0xeb1dde9c> "Hamon Tower" . + <_:0xeb1dde9c> "Location" . + } +} +``` + +Here is how you would associate a `Polygon` with a node. Adding a `MultiPolygon` is also similar. + +``` +{ + set { + <_:0xf76c276b> "{'type':'Polygon','coordinates':[[[-122.409869,37.7785442],[-122.4097444,37.7786443],[-122.4097544,37.7786521],[-122.4096334,37.7787494],[-122.4096233,37.7787416],[-122.4094004,37.7789207],[-122.4095818,37.7790617],[-122.4097883,37.7792189],[-122.4102599,37.7788413],[-122.409869,37.7785442]],[[-122.4097357,37.7787848],[-122.4098499,37.778693],[-122.4099025,37.7787339],[-122.4097882,37.7788257],[-122.4097357,37.7787848]]]}"^^ . + <_:0xf76c276b> "Best Western Americana Hotel" . + <_:0xf76c276b> "Location" . + } +} +``` + +The above examples have been picked from our [SF Tourism](https://github.com/dgraph-io/benchmarks/blob/master/data/sf.tourism.gz?raw=true) dataset. +### Query +#### near + +Syntax Example: `near(predicate, [long, lat], distance)` + +Schema Types: `geo` + +Index Required: `geo` + +Matches all entities where the location given by `predicate` is within `distance` meters of geojson coordinate `[long, lat]`. + +Query Example: Tourist destinations within 1000 meters (1 kilometer) of a point in Golden Gate Park in San Francisco. + +{{< runnable >}} +{ + tourist(func: near(loc, [-122.469829, 37.771935], 1000) ) { + name + } +} +{{< /runnable >}} + +#### within + +Syntax Example: `within(predicate, [[[long1, lat1], ..., [longN, latN]]])` + +Schema Types: `geo` + +Index Required: `geo` + +Matches all entities where the location given by `predicate` lies within the polygon specified by the geojson coordinate array. + +Query Example: Tourist destinations within the specified area of Golden Gate Park, San Francisco. + +{{< runnable >}} +{ + tourist(func: within(loc, [[[-122.47266769409178, 37.769018558337926 ], [ -122.47266769409178, 37.773699921075135 ], [ -122.4651575088501, 37.773699921075135 ], [ -122.4651575088501, 37.769018558337926 ], [ -122.47266769409178, 37.769018558337926]]] )) { + name + } +} +{{< /runnable >}} + +#### contains + +Syntax Examples: `contains(predicate, [long, lat])` or `contains(predicate, [[long1, lat1], ..., [longN, latN]])` + +Schema Types: `geo` + +Index Required: `geo` + +Matches all entities where the polygon describing the location given by `predicate` contains geojson coordinate `[long, lat]` or given geojson polygon. + +Query Example : All entities that contain a point in the flamingo enclosure of San Francisco Zoo. +{{< runnable >}} +{ + tourist(func: contains(loc, [ -122.50326097011566, 37.73353615592843 ] )) { + name + } +} +{{< /runnable >}} + +#### intersects + +Syntax Example: `intersects(predicate, [[[long1, lat1], ..., [longN, latN]]])` + +Schema Types: `geo` + +Index Required: `geo` + +Matches all entities where the polygon describing the location given by `predicate` intersects the given geojson polygon. + + +{{< runnable >}} +{ + tourist(func: intersects(loc, [[[-122.503325343132, 37.73345766902749 ], [ -122.503325343132, 37.733903134117966 ], [ -122.50271648168564, 37.733903134117966 ], [ -122.50271648168564, 37.73345766902749 ], [ -122.503325343132, 37.73345766902749]]] )) { + name + } +} +{{< /runnable >}} + + diff --git a/wiki/content/query-language/graphql-fundamentals.md b/wiki/content/query-language/graphql-fundamentals.md new file mode 100644 index 00000000000..5dc75a86ec5 --- /dev/null +++ b/wiki/content/query-language/graphql-fundamentals.md @@ -0,0 +1,225 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "GraphQL+- Fundamentals" +[menu.main] + parent = "query-language" + weight = 1 ++++ + +Dgraph's GraphQL+- is based on Facebook's [GraphQL](https://facebook.github.io/graphql/). GraphQL wasn't developed for Graph databases, but its graph-like query syntax, schema validation and subgraph shaped response make it a great language choice. We've modified the language to better support graph operations, adding and removing features to get the best fit for graph databases. We're calling this simplified, feature rich language, ''GraphQL+-''. + +GraphQL+- is a work in progress. We're adding more features and we might further simplify existing ones. + +## Take a Tour - https://dgraph.io/tour/ + +This document is the Dgraph query reference material. It is not a tutorial. It's designed as a reference for users who already know how to write queries in GraphQL+- but need to check syntax, or indices, or functions, etc. + +{{% notice "note" %}}If you are new to Dgraph and want to learn how to use Dgraph and GraphQL+-, take the tour - https://dgraph.io/tour/{{% /notice %}} + + +### Running examples + +The examples in this reference use a database of 21 million triples about movies and actors. The example queries run and return results. The queries are executed by an instance of Dgraph running at https://play.dgraph.io/. To run the queries locally or experiment a bit more, see the [Getting Started]({{< relref "get-started/index.md" >}}) guide, which also shows how to load the datasets used in the examples here. + +## Queries + +A GraphQL+- query finds nodes based on search criteria, matches patterns in a graph and returns a graph as a result. + +A query is composed of nested blocks, starting with a query root. The root finds the initial set of nodes against which the following graph matching and filtering is applied. + +{{% notice "note" %}}See more about Queries in [Queries design concept]({{< relref "design-concepts/concepts.md#queries" >}}) {{% /notice %}} + +## Returning Values + +Each query has a name, specified at the query root, and the same name identifies the results. + +If an edge is of a value type, the value can be returned by giving the edge name. + +Query Example: In the example dataset, edges that link movies to directors and actors, movies have a name, release date and identifiers for a number of well known movie databases. This query, with name `bladerunner`, and root matching a movie name, returns those values for the early 80's sci-fi classic "Blade Runner". + +{{< runnable >}} +{ + bladerunner(func: eq(name@en, "Blade Runner")) { + uid + name@en + initial_release_date + netflix_id + } +} +{{< /runnable >}} + +The query first searches the graph, using indexes to make the search efficient, for all nodes with a `name` edge equaling "Blade Runner". For the found node the query then returns the listed outgoing edges. + +Every node had a unique 64-bit identifier. The `uid` edge in the query above returns that identifier. If the required node is already known, then the function `uid` finds the node. + +Query Example: "Blade Runner" movie data found by UID. + +{{< runnable >}} +{ + bladerunner(func: uid(0x394c)) { + uid + name@en + initial_release_date + netflix_id + } +} +{{< /runnable >}} + +A query can match many nodes and return the values for each. + +Query Example: All nodes that have either "Blade" or "Runner" in the name. + +{{< runnable >}} +{ + bladerunner(func: anyofterms(name@en, "Blade Runner")) { + uid + name@en + initial_release_date + netflix_id + } +} +{{< /runnable >}} + +Multiple IDs can be specified in a list to the `uid` function. + +Query Example: +{{< runnable >}} +{ + movies(func: uid(0xb5849, 0x394c)) { + uid + name@en + initial_release_date + netflix_id + } +} +{{< /runnable >}} + + +{{% notice "note" %}} If your predicate has special characters, then you should wrap it with angular +brackets while asking for it in the query. E.g. ``{{% /notice %}} + +## Expanding Graph Edges + +A query expands edges from node to node by nesting query blocks with `{ }`. + +Query Example: The actors and characters played in "Blade Runner". The query first finds the node with name "Blade Runner", then follows outgoing `starring` edges to nodes representing an actor's performance as a character. From there the `performance.actor` and `performance.character` edges are expanded to find the actor names and roles for every actor in the movie. +{{< runnable >}} +{ + brCharacters(func: eq(name@en, "Blade Runner")) { + name@en + initial_release_date + starring { + performance.actor { + name@en # actor name + } + performance.character { + name@en # character name + } + } + } +} +{{< /runnable >}} + + +## Comments + +Anything on a line following a `#` is a comment + +## Applying Filters + +The query root finds an initial set of nodes and the query proceeds by returning values and following edges to further nodes - any node reached in the query is found by traversal after the search at root. The nodes found can be filtered by applying `@filter`, either after the root or at any edge. + +Query Example: "Blade Runner" director Ridley Scott's movies released before the year 2000. +{{< runnable >}} +{ + scott(func: eq(name@en, "Ridley Scott")) { + name@en + initial_release_date + director.film @filter(le(initial_release_date, "2000")) { + name@en + initial_release_date + } + } +} +{{< /runnable >}} + +Query Example: Movies with either "Blade" or "Runner" in the title and released before the year 2000. + +{{< runnable >}} +{ + bladerunner(func: anyofterms(name@en, "Blade Runner")) @filter(le(initial_release_date, "2000")) { + uid + name@en + initial_release_date + netflix_id + } +} +{{< /runnable >}} + +## Language Support + +{{% notice "note" %}}A `@lang` directive must be specified in the schema to query or mutate +predicates with language tags.{{% /notice %}} + +Dgraph supports UTF-8 strings. + +In a query, for a string valued edge `edge`, the syntax +``` +edge@lang1:...:langN +``` +specifies the preference order for returned languages, with the following rules. + +* At most one result will be returned (except in the case where the language list is set to *). +* The preference list is considered left to right: if a value in given language is not found, the next language from the list is considered. +* If there are no values in any of the specified languages, no value is returned. +* A final `.` means that a value without a specified language is returned or if there is no value without language, a value in ''some'' language is returned. +* Setting the language list value to * will return all the values for that predicate along with their language. Values without a language tag are also returned. + +For example: + +- `name` => Look for an untagged string; return nothing if no untagged value exits. +- `name@.` => Look for an untagged string, then any language. +- `name@en` => Look for `en` tagged string; return nothing if no `en` tagged string exists. +- `name@en:.` => Look for `en`, then untagged, then any language. +- `name@en:pl` => Look for `en`, then `pl`, otherwise nothing. +- `name@en:pl:.` => Look for `en`, then `pl`, then untagged, then any language. +- `name@*` => Look for all the values of this predicate and return them along with their language. For example, if there are two values with languages en and hi, this query will return two keys named "name@en" and "name@hi". + + +{{% notice "note" %}} + +In functions, language lists (including the `@*` notation) are not allowed. +Untagged predicates, Single language tags, and `.` notation work as described +above. + +--- + +In [full-text search functions]({{< relref "#full-text-search" >}}) +(`alloftext`, `anyoftext`), when no language is specified (untagged or `@.`), +the default (English) full-text tokenizer is used. This does not mean that +the value with the `en` tag will be searched when querying the untagged value, +but that untagged values will be treated as English text. If you don't want that +to be the case, use the appropriate tag for the desired language, both for +mutating and querying the value. + +{{% /notice %}} + + +Query Example: Some of Bollywood director and actor Farhan Akhtar's movies have a name stored in Russian as well as Hindi and English, others do not. + +{{< runnable >}} +{ + q(func: allofterms(name@en, "Farhan Akhtar")) { + name@hi + name@en + + director.film { + name@ru:hi:en + name@en + name@hi + name@ru + } + } +} +{{< /runnable >}} + diff --git a/wiki/content/query-language/graphql-variables.md b/wiki/content/query-language/graphql-variables.md new file mode 100644 index 00000000000..3e3f43e39cd --- /dev/null +++ b/wiki/content/query-language/graphql-variables.md @@ -0,0 +1,79 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "GraphQL Variables" +[menu.main] + parent = "query-language" + weight = 26 ++++ + +`Variables` can be defined and used in queries which helps in query reuse and avoids costly string building in clients at runtime by passing a separate variable map. A variable starts with a `$` symbol. +For **HTTP requests** with GraphQL Variables, we must use `Content-Type: application/json` header and pass data with a JSON object containing `query` and `variables`. + +```sh +curl -H "Content-Type: application/json" localhost:8080/query -XPOST -d $'{ + "query": "query test($a: string) { test(func: eq(name, $a)) { \n uid \n name \n } }", + "variables": { "$a": "Alice" } +}' | python -m json.tool | less +``` + +{{< runnable vars="{\"$a\": \"5\", \"$b\": \"10\", \"$name\": \"Steven Spielberg\"}" >}} +query test($a: int, $b: int, $name: string) { + me(func: allofterms(name@en, $name)) { + name@en + director.film (first: $a, offset: $b) { + name @en + genre(first: $a) { + name@en + } + } + } +} +{{< /runnable >}} + +* Variables can have default values. In the example below, `$a` has a default value of `2`. Since the value for `$a` isn't provided in the variable map, `$a` takes on the default value. +* Variables whose type is suffixed with a `!` can't have a default value but must have a value as part of the variables map. +* The value of the variable must be parsable to the given type, if not, an error is thrown. +* The variable types that are supported as of now are: `int`, `float`, `bool` and `string`. +* Any variable that is being used must be declared in the named query clause in the beginning. + +{{< runnable vars="{\"$b\": \"10\", \"$name\": \"Steven Spielberg\"}" >}} +query test($a: int = 2, $b: int!, $name: string) { + me(func: allofterms(name@en, $name)) { + director.film (first: $a, offset: $b) { + genre(first: $a) { + name@en + } + } + } +} +{{< /runnable >}} + +You can also use array with GraphQL Variables. + +{{< runnable vars="{\"$b\": \"10\", \"$aName\": \"Steven Spielberg\", \"$bName\": \"Quentin Tarantino\"}" >}} +query test($a: int = 2, $b: int!, $aName: string, $bName: string) { + me(func: eq(name@en, [$aName, $bName])) { + director.film (first: $a, offset: $b) { + genre(first: $a) { + name@en + } + } + } +} +{{< /runnable >}} + +We also support variable substituion in facets now. +{{< runnable vars="{\"$name\": \"Alice\"}" >}} +query test($name: string = "Alice") { + data(func: eq(name, $name)) { + friend @facets(eq(close, true)) { + name + } + } +} +{{}} + +{{% notice "note" %}} +If you want to input a list of uids as a GraphQL variable value, you can have the variable as string type and +have the value surrounded by square brackets like `["13", "14"]`. +{{% /notice %}} \ No newline at end of file diff --git a/wiki/content/query-language/groupby.md b/wiki/content/query-language/groupby.md new file mode 100644 index 00000000000..e812f8a18c0 --- /dev/null +++ b/wiki/content/query-language/groupby.md @@ -0,0 +1,57 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "GroupBy" +[menu.main] + parent = "query-language" + weight = 13 ++++ + +Syntax Examples: + +* `q(func: ...) @groupby(predicate) { min(...) }` +* `predicate @groupby(pred) { count(uid) }`` + + +A `groupby` query aggregates query results given a set of properties on which to group elements. For example, a query containing the block `friend @groupby(age) { count(uid) }`, finds all nodes reachable along the friend edge, partitions these into groups based on age, then counts how many nodes are in each group. The returned result is the grouped edges and the aggregations. + +Inside a `groupby` block, only aggregations are allowed and `count` may only be applied to `uid`. + +If the `groupby` is applied to a `uid` predicate, the resulting aggregations can be saved in a variable (mapping the grouped UIDs to aggregate values) and used elsewhere in the query to extract information other than the grouped or aggregated edges. + +Query Example: For Steven Spielberg movies, count the number of movies in each genre and for each of those genres return the genre name and the count. The name can't be extracted in the `groupby` because it is not an aggregate, but `uid(a)` can be used to extract the UIDs from the UID to value map and thus organize the `byGenre` query by genre UID. + + +{{< runnable >}} +{ + var(func:allofterms(name@en, "steven spielberg")) { + director.film @groupby(genre) { + a as count(uid) + # a is a genre UID to count value variable + } + } + + byGenre(func: uid(a), orderdesc: val(a)) { + name@en + total_movies : val(a) + } +} +{{< /runnable >}} + +Query Example: Actors from Tim Burton movies and how many roles they have played in Tim Burton movies. +{{< runnable >}} +{ + var(func:allofterms(name@en, "Tim Burton")) { + director.film { + starring @groupby(performance.actor) { + a as count(uid) + # a is an actor UID to count value variable + } + } + } + + byActor(func: uid(a), orderdesc: val(a)) { + name@en + val(a) + } +} +{{< /runnable >}} diff --git a/wiki/content/query-language/ignorereflex-directive.md b/wiki/content/query-language/ignorereflex-directive.md new file mode 100644 index 00000000000..044d386a46b --- /dev/null +++ b/wiki/content/query-language/ignorereflex-directive.md @@ -0,0 +1,27 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "IgnoreReflex directive" +[menu.main] + parent = "query-language" + weight = 18 ++++ + +The `@ignorereflex` directive forces the removal of child nodes that are reachable from themselves as a parent, through any path in the query result + +Query Example: All the co-actors of Rutger Hauer. Without `@ignorereflex`, the result would also include Rutger Hauer for every movie. + +{{< runnable >}} +{ + coactors(func: eq(name@en, "Rutger Hauer")) @ignorereflex { + actor.film { + performance.film { + starring { + performance.actor { + name@en + } + } + } + } + } +} +{{< /runnable >}} \ No newline at end of file diff --git a/wiki/content/query-language/index.md b/wiki/content/query-language/index.md deleted file mode 100644 index 40503d9935b..00000000000 --- a/wiki/content/query-language/index.md +++ /dev/null @@ -1,3983 +0,0 @@ -+++ -title = "Query Language" -+++ - -Dgraph's GraphQL+- is based on Facebook's [GraphQL](https://facebook.github.io/graphql/). GraphQL wasn't developed for Graph databases, but its graph-like query syntax, schema validation and subgraph shaped response make it a great language choice. We've modified the language to better support graph operations, adding and removing features to get the best fit for graph databases. We're calling this simplified, feature rich language, ''GraphQL+-''. - -GraphQL+- is a work in progress. We're adding more features and we might further simplify existing ones. - -## Take a Tour - https://dgraph.io/tour/ - -This document is the Dgraph query reference material. It is not a tutorial. It's designed as a reference for users who already know how to write queries in GraphQL+- but need to check syntax, or indices, or functions, etc. - -{{% notice "note" %}}If you are new to Dgraph and want to learn how to use Dgraph and GraphQL+-, take the tour - https://dgraph.io/tour/{{% /notice %}} - - -### Running examples - -The examples in this reference use a database of 21 million triples about movies and actors. The example queries run and return results. The queries are executed by an instance of Dgraph running at https://play.dgraph.io/. To run the queries locally or experiment a bit more, see the [Getting Started]({{< relref "get-started/index.md" >}}) guide, which also shows how to load the datasets used in the examples here. - -## GraphQL+- Fundamentals - -A GraphQL+- query finds nodes based on search criteria, matches patterns in a graph and returns a graph as a result. - -A query is composed of nested blocks, starting with a query root. The root finds the initial set of nodes against which the following graph matching and filtering is applied. - -{{% notice "note" %}}See more about Queries in [Queries design concept]({{< relref "design-concepts/index.md#queries" >}}) {{% /notice %}} - -### Returning Values - -Each query has a name, specified at the query root, and the same name identifies the results. - -If an edge is of a value type, the value can be returned by giving the edge name. - -Query Example: In the example dataset, edges that link movies to directors and actors, movies have a name, release date and identifiers for a number of well known movie databases. This query, with name `bladerunner`, and root matching a movie name, returns those values for the early 80's sci-fi classic "Blade Runner". - -{{< runnable >}} -{ - bladerunner(func: eq(name@en, "Blade Runner")) { - uid - name@en - initial_release_date - netflix_id - } -} -{{< /runnable >}} - -The query first searches the graph, using indexes to make the search efficient, for all nodes with a `name` edge equaling "Blade Runner". For the found node the query then returns the listed outgoing edges. - -Every node had a unique 64-bit identifier. The `uid` edge in the query above returns that identifier. If the required node is already known, then the function `uid` finds the node. - -Query Example: "Blade Runner" movie data found by UID. - -{{< runnable >}} -{ - bladerunner(func: uid(0x394c)) { - uid - name@en - initial_release_date - netflix_id - } -} -{{< /runnable >}} - -A query can match many nodes and return the values for each. - -Query Example: All nodes that have either "Blade" or "Runner" in the name. - -{{< runnable >}} -{ - bladerunner(func: anyofterms(name@en, "Blade Runner")) { - uid - name@en - initial_release_date - netflix_id - } -} -{{< /runnable >}} - -Multiple IDs can be specified in a list to the `uid` function. - -Query Example: -{{< runnable >}} -{ - movies(func: uid(0xb5849, 0x394c)) { - uid - name@en - initial_release_date - netflix_id - } -} -{{< /runnable >}} - - -{{% notice "note" %}} If your predicate has special characters, then you should wrap it with angular -brackets while asking for it in the query. E.g. ``{{% /notice %}} - -### Expanding Graph Edges - -A query expands edges from node to node by nesting query blocks with `{ }`. - -Query Example: The actors and characters played in "Blade Runner". The query first finds the node with name "Blade Runner", then follows outgoing `starring` edges to nodes representing an actor's performance as a character. From there the `performance.actor` and `performance.character` edges are expanded to find the actor names and roles for every actor in the movie. -{{< runnable >}} -{ - brCharacters(func: eq(name@en, "Blade Runner")) { - name@en - initial_release_date - starring { - performance.actor { - name@en # actor name - } - performance.character { - name@en # character name - } - } - } -} -{{< /runnable >}} - - -### Comments - -Anything on a line following a `#` is a comment - -### Applying Filters - -The query root finds an initial set of nodes and the query proceeds by returning values and following edges to further nodes - any node reached in the query is found by traversal after the search at root. The nodes found can be filtered by applying `@filter`, either after the root or at any edge. - -Query Example: "Blade Runner" director Ridley Scott's movies released before the year 2000. -{{< runnable >}} -{ - scott(func: eq(name@en, "Ridley Scott")) { - name@en - initial_release_date - director.film @filter(le(initial_release_date, "2000")) { - name@en - initial_release_date - } - } -} -{{< /runnable >}} - -Query Example: Movies with either "Blade" or "Runner" in the title and released before the year 2000. - -{{< runnable >}} -{ - bladerunner(func: anyofterms(name@en, "Blade Runner")) @filter(le(initial_release_date, "2000")) { - uid - name@en - initial_release_date - netflix_id - } -} -{{< /runnable >}} - -### Language Support - -{{% notice "note" %}}A `@lang` directive must be specified in the schema to query or mutate -predicates with language tags.{{% /notice %}} - -Dgraph supports UTF-8 strings. - -In a query, for a string valued edge `edge`, the syntax -``` -edge@lang1:...:langN -``` -specifies the preference order for returned languages, with the following rules. - -* At most one result will be returned (except in the case where the language list is set to *). -* The preference list is considered left to right: if a value in given language is not found, the next language from the list is considered. -* If there are no values in any of the specified languages, no value is returned. -* A final `.` means that a value without a specified language is returned or if there is no value without language, a value in ''some'' language is returned. -* Setting the language list value to * will return all the values for that predicate along with their language. Values without a language tag are also returned. - -For example: - -- `name` => Look for an untagged string; return nothing if no untagged value exits. -- `name@.` => Look for an untagged string, then any language. -- `name@en` => Look for `en` tagged string; return nothing if no `en` tagged string exists. -- `name@en:.` => Look for `en`, then untagged, then any language. -- `name@en:pl` => Look for `en`, then `pl`, otherwise nothing. -- `name@en:pl:.` => Look for `en`, then `pl`, then untagged, then any language. -- `name@*` => Look for all the values of this predicate and return them along with their language. For example, if there are two values with languages en and hi, this query will return two keys named "name@en" and "name@hi". - - -{{% notice "note" %}} - -In functions, language lists (including the `@*` notation) are not allowed. -Untagged predicates, Single language tags, and `.` notation work as described -above. - ---- - -In [full-text search functions]({{< relref "#full-text-search" >}}) -(`alloftext`, `anyoftext`), when no language is specified (untagged or `@.`), -the default (English) full-text tokenizer is used. This does not mean that -the value with the `en` tag will be searched when querying the untagged value, -but that untagged values will be treated as English text. If you don't want that -to be the case, use the appropriate tag for the desired language, both for -mutating and querying the value. - -{{% /notice %}} - - -Query Example: Some of Bollywood director and actor Farhan Akhtar's movies have a name stored in Russian as well as Hindi and English, others do not. - -{{< runnable >}} -{ - q(func: allofterms(name@en, "Farhan Akhtar")) { - name@hi - name@en - - director.film { - name@ru:hi:en - name@en - name@hi - name@ru - } - } -} -{{< /runnable >}} - - - - -## Functions - -Functions allow filtering based on properties of nodes or [variables]({{}}). Functions can be applied in the query root or in filters. - -{{% notice "note" %}}Support for filters on non-indexed predicates was added with Dgraph `v1.2.0`. -{{% /notice %}} - -Comparison functions (`eq`, `ge`, `gt`, `le`, `lt`) in the query root (aka `func:`) can only -be applied on [indexed predicates]({{< relref "#indexing">}}). Since v1.2, comparison functions -can now be used on [@filter]({{}}) directives even on predicates -that have not been indexed. -Filtering on non-indexed predicates can be slow for large datasets, as they require -iterating over all of the possible values at the level where the filter is being used. - -All other functions, in the query root or in the filter can only be applied to indexed predicates. - -For functions on string valued predicates, if no language preference is given, the function is applied to all languages and strings without a language tag; if a language preference is given, the function is applied only to strings of the given language. - - -### Term matching - - -#### allofterms - -Syntax Example: `allofterms(predicate, "space-separated term list")` - -Schema Types: `string` - -Index Required: `term` - - -Matches strings that have all specified terms in any order; case insensitive. - -##### Usage at root - -Query Example: All nodes that have `name` containing terms `indiana` and `jones`, returning the English name and genre in English. - -{{< runnable >}} -{ - me(func: allofterms(name@en, "jones indiana")) { - name@en - genre { - name@en - } - } -} -{{< /runnable >}} - -##### Usage as Filter - -Query Example: All Steven Spielberg films that contain the words `indiana` and `jones`. The `@filter(has(director.film))` removes nodes with name Steven Spielberg that aren't the director --- the data also contains a character in a film called Steven Spielberg. - -{{< runnable >}} -{ - me(func: eq(name@en, "Steven Spielberg")) @filter(has(director.film)) { - name@en - director.film @filter(allofterms(name@en, "jones indiana")) { - name@en - } - } -} -{{< /runnable >}} - - -#### anyofterms - - -Syntax Example: `anyofterms(predicate, "space-separated term list")` - -Schema Types: `string` - -Index Required: `term` - - -Matches strings that have any of the specified terms in any order; case insensitive. - -##### Usage at root - -Query Example: All nodes that have a `name` containing either `poison` or `peacock`. Many of the returned nodes are movies, but people like Joan Peacock also meet the search terms because without a [cascade directive]({{< relref "#cascade-directive">}}) the query doesn't require a genre. - -{{< runnable >}} -{ - me(func:anyofterms(name@en, "poison peacock")) { - name@en - genre { - name@en - } - } -} -{{< /runnable >}} - - -##### Usage as filter - -Query Example: All Steven Spielberg movies that contain `war` or `spies`. The `@filter(has(director.film))` removes nodes with name Steven Spielberg that aren't the director --- the data also contains a character in a film called Steven Spielberg. - -{{< runnable >}} -{ - me(func: eq(name@en, "Steven Spielberg")) @filter(has(director.film)) { - name@en - director.film @filter(anyofterms(name@en, "war spies")) { - name@en - } - } -} -{{< /runnable >}} - - -### Regular Expressions - - -Syntax Examples: `regexp(predicate, /regular-expression/)` or case insensitive `regexp(predicate, /regular-expression/i)` - -Schema Types: `string` - -Index Required: `trigram` - - -Matches strings by regular expression. The regular expression language is that of [go regular expressions](https://golang.org/pkg/regexp/syntax/). - -Query Example: At root, match nodes with `Steven Sp` at the start of `name`, followed by any characters. For each such matched uid, match the films containing `ryan`. Note the difference with `allofterms`, which would match only `ryan` but regular expression search will also match within terms, such as `bryan`. - -{{< runnable >}} -{ - directors(func: regexp(name@en, /^Steven Sp.*$/)) { - name@en - director.film @filter(regexp(name@en, /ryan/i)) { - name@en - } - } -} -{{< /runnable >}} - - -#### Technical details - -A Trigram is a substring of three continuous runes. For example, `Dgraph` has trigrams `Dgr`, `gra`, `rap`, `aph`. - -To ensure efficiency of regular expression matching, Dgraph uses [trigram indexing](https://swtch.com/~rsc/regexp/regexp4.html). That is, Dgraph converts the regular expression to a trigram query, uses the trigram index and trigram query to find possible matches and applies the full regular expression search only to the possibles. - -#### Writing Efficient Regular Expressions and Limitations - -Keep the following in mind when designing regular expression queries. - -- At least one trigram must be matched by the regular expression (patterns shorter than 3 runes are not supported). That is, Dgraph requires regular expressions that can be converted to a trigram query. -- The number of alternative trigrams matched by the regular expression should be as small as possible (`[a-zA-Z][a-zA-Z][0-9]` is not a good idea). Many possible matches means the full regular expression is checked against many strings; where as, if the expression enforces more trigrams to match, Dgraph can make better use of the index and check the full regular expression against a smaller set of possible matches. -- Thus, the regular expression should be as precise as possible. Matching longer strings means more required trigrams, which helps to effectively use the index. -- If repeat specifications (`*`, `+`, `?`, `{n,m}`) are used, the entire regular expression must not match the _empty_ string or _any_ string: for example, `*` may be used like `[Aa]bcd*` but not like `(abcd)*` or `(abcd)|((defg)*)` -- Repeat specifications after bracket expressions (e.g. `[fgh]{7}`, `[0-9]+` or `[a-z]{3,5}`) are often considered as matching any string because they match too many trigrams. -- If the partial result (for subset of trigrams) exceeds 1000000 uids during index scan, the query is stopped to prohibit expensive queries. - - -### Fuzzy matching - - -Syntax: `match(predicate, string, distance)` - -Schema Types: `string` - -Index Required: `trigram` - -Matches predicate values by calculating the [Levenshtein distance](https://en.wikipedia.org/wiki/Levenshtein_distance) to the string, -also known as _fuzzy matching_. The distance parameter must be greater than zero (0). Using a greater distance value can yield more but less accurate results. - -Query Example: At root, fuzzy match nodes similar to `Stephen`, with a distance value of less than or equal to 8. - -{{< runnable >}} -{ - directors(func: match(name@en, Stephen, 8)) { - name@en - } -} -{{< /runnable >}} - -Same query with a Levenshtein distance of 3. - -{{< runnable >}} -{ - directors(func: match(name@en, Stephen, 3)) { - name@en - } -} -{{< /runnable >}} - - -### Full-Text Search - -Syntax Examples: `alloftext(predicate, "space-separated text")` and `anyoftext(predicate, "space-separated text")` - -Schema Types: `string` - -Index Required: `fulltext` - - -Apply full-text search with stemming and stop words to find strings matching all or any of the given text. - -The following steps are applied during index generation and to process full-text search arguments: - -1. Tokenization (according to Unicode word boundaries). -1. Conversion to lowercase. -1. Unicode-normalization (to [Normalization Form KC](http://unicode.org/reports/tr15/#Norm_Forms)). -1. Stemming using language-specific stemmer (if supported by language). -1. Stop words removal (if supported by language). - -Dgraph uses [bleve](https://github.com/blevesearch/bleve) for its full-text search indexing. See also the bleve language specific [stop word lists](https://github.com/blevesearch/bleve/tree/master/analysis/lang). - -Following table contains all supported languages, corresponding country-codes, stemming and stop words filtering support. - -| Language | Country Code | Stemming | Stop words | -| :--------: | :----------: | :------: | :--------: | -| Arabic | ar | ✓ | ✓ | -| Armenian | hy | | ✓ | -| Basque | eu | | ✓ | -| Bulgarian | bg | | ✓ | -| Catalan | ca | | ✓ | -| Chinese | zh | ✓ | ✓ | -| Czech | cs | | ✓ | -| Danish | da | ✓ | ✓ | -| Dutch | nl | ✓ | ✓ | -| English | en | ✓ | ✓ | -| Finnish | fi | ✓ | ✓ | -| French | fr | ✓ | ✓ | -| Gaelic | ga | | ✓ | -| Galician | gl | | ✓ | -| German | de | ✓ | ✓ | -| Greek | el | | ✓ | -| Hindi | hi | ✓ | ✓ | -| Hungarian | hu | ✓ | ✓ | -| Indonesian | id | | ✓ | -| Italian | it | ✓ | ✓ | -| Japanese | ja | ✓ | ✓ | -| Korean | ko | ✓ | ✓ | -| Norwegian | no | ✓ | ✓ | -| Persian | fa | | ✓ | -| Portuguese | pt | ✓ | ✓ | -| Romanian | ro | ✓ | ✓ | -| Russian | ru | ✓ | ✓ | -| Spanish | es | ✓ | ✓ | -| Swedish | sv | ✓ | ✓ | -| Turkish | tr | ✓ | ✓ | - - -Query Example: All names that have `dog`, `dogs`, `bark`, `barks`, `barking`, etc. Stop word removal eliminates `the` and `which`. - -{{< runnable >}} -{ - movie(func:alloftext(name@en, "the dog which barks")) { - name@en - } -} -{{< /runnable >}} - - -### Inequality - -#### equal to - -Syntax Examples: - -* `eq(predicate, value)` -* `eq(val(varName), value)` -* `eq(predicate, val(varName))` -* `eq(count(predicate), value)` -* `eq(predicate, [val1, val2, ..., valN])` -* `eq(predicate, [$var1, "value", ..., $varN])` - -Schema Types: `int`, `float`, `bool`, `string`, `dateTime` - -Index Required: An index is required for the `eq(predicate, ...)` forms (see table below) when used at query root. For `count(predicate)` at the query root, the `@count` index is required. For variables the values have been calculated as part of the query, so no index is required. - -| Type | Index Options | -|:-----------|:--------------| -| `int` | `int` | -| `float` | `float` | -| `bool` | `bool` | -| `string` | `exact`, `hash` | -| `dateTime` | `dateTime` | - -Test for equality of a predicate or variable to a value or find in a list of values. - -The boolean constants are `true` and `false`, so with `eq` this becomes, for example, `eq(boolPred, true)`. - -Query Example: Movies with exactly thirteen genres. - -{{< runnable >}} -{ - me(func: eq(count(genre), 13)) { - name@en - genre { - name@en - } - } -} -{{< /runnable >}} - - -Query Example: Directors called Steven who have directed 1,2 or 3 movies. - -{{< runnable >}} -{ - steve as var(func: allofterms(name@en, "Steven")) { - films as count(director.film) - } - - stevens(func: uid(steve)) @filter(eq(val(films), [1,2,3])) { - name@en - numFilms : val(films) - } -} -{{< /runnable >}} - - -#### less than, less than or equal to, greater than and greater than or equal to - -Syntax Examples: for inequality `IE` - -* `IE(predicate, value)` -* `IE(val(varName), value)` -* `IE(predicate, val(varName))` -* `IE(count(predicate), value)` - -With `IE` replaced by - -* `le` less than or equal to -* `lt` less than -* `ge` greater than or equal to -* `gt` greather than - -Schema Types: `int`, `float`, `string`, `dateTime` - -Index required: An index is required for the `IE(predicate, ...)` forms (see table below) when used at query root. For `count(predicate)` at the query root, the `@count` index is required. For variables the values have been calculated as part of the query, so no index is required. - -| Type | Index Options | -|:-----------|:--------------| -| `int` | `int` | -| `float` | `float` | -| `string` | `exact` | -| `dateTime` | `dateTime` | - - -Query Example: Ridley Scott movies released before 1980. - -{{< runnable >}} -{ - me(func: eq(name@en, "Ridley Scott")) { - name@en - director.film @filter(lt(initial_release_date, "1980-01-01")) { - initial_release_date - name@en - } - } -} -{{< /runnable >}} - - -Query Example: Movies with directors with `Steven` in `name` and have directed more than `100` actors. - -{{< runnable >}} -{ - ID as var(func: allofterms(name@en, "Steven")) { - director.film { - num_actors as count(starring) - } - total as sum(val(num_actors)) - } - - dirs(func: uid(ID)) @filter(gt(val(total), 100)) { - name@en - total_actors : val(total) - } -} -{{< /runnable >}} - - - -Query Example: A movie in each genre that has over 30000 movies. Because there is no order specified on genres, the order will be by UID. The [count index]({{< relref "#count-index">}}) records the number of edges out of nodes and makes such queries more . - -{{< runnable >}} -{ - genre(func: gt(count(~genre), 30000)){ - name@en - ~genre (first:1) { - name@en - } - } -} -{{< /runnable >}} - -Query Example: Directors called Steven and their movies which have `initial_release_date` greater -than that of the movie Minority Report. - -{{< runnable >}} -{ - var(func: eq(name@en,"Minority Report")) { - d as initial_release_date - } - - me(func: eq(name@en, "Steven Spielberg")) { - name@en - director.film @filter(ge(initial_release_date, val(d))) { - initial_release_date - name@en - } - } -} -{{< /runnable >}} - - -### uid - -Syntax Examples: - -* `q(func: uid()) ` -* `predicate @filter(uid(, ..., ))` -* `predicate @filter(uid(a))` for variable `a` -* `q(func: uid(a,b))` for variables `a` and `b` - - -Filters nodes at the current query level to only nodes in the given set of UIDs. - -For query variable `a`, `uid(a)` represents the set of UIDs stored in `a`. For value variable `b`, `uid(b)` represents the UIDs from the UID to value map. With two or more variables, `uid(a,b,...)` represents the union of all the variables. - -`uid()`, like an identity function, will return the requested UID even if the node does not have any edges. - -Query Example: If the UID of a node is known, values for the node can be read directly. The films of Priyanka Chopra by known UID - -{{< runnable >}} -{ - films(func: uid(0x2c964)) { - name@hi - actor.film { - performance.film { - name@hi - } - } - } -} -{{< /runnable >}} - - - -Query Example: The films of Taraji Henson by genre. -{{< runnable >}} -{ - var(func: allofterms(name@en, "Taraji Henson")) { - actor.film { - F as performance.film { - G as genre - } - } - } - - Taraji_films_by_genre(func: uid(G)) { - genre_name : name@en - films : ~genre @filter(uid(F)) { - film_name : name@en - } - } -} -{{< /runnable >}} - - - -Query Example: Taraji Henson films ordered by number of genres, with genres listed in order of how many films Taraji has made in each genre. -{{< runnable >}} -{ - var(func: allofterms(name@en, "Taraji Henson")) { - actor.film { - F as performance.film { - G as count(genre) - genre { - C as count(~genre @filter(uid(F))) - } - } - } - } - - Taraji_films_by_genre_count(func: uid(G), orderdesc: val(G)) { - film_name : name@en - genres : genre (orderdesc: val(C)) { - genre_name : name@en - } - } -} -{{< /runnable >}} - - -### uid_in - - -Syntax Examples: - -* `q(func: ...) @filter(uid_in(predicate, ))` -* `predicate1 @filter(uid_in(predicate2, ))` - -Schema Types: UID - -Index Required: none - -While the `uid` function filters nodes at the current level based on UID, function `uid_in` allows looking ahead along an edge to check that it leads to a particular UID. This can often save an extra query block and avoids returning the edge. - -`uid_in` cannot be used at root, it accepts one UID constant as its argument (not a variable). - - -Query Example: The collaborations of Marc Caro and Jean-Pierre Jeunet (UID 0x99706). If the UID of Jean-Pierre Jeunet is known, querying this way removes the need to have a block extracting his UID into a variable and the extra edge traversal and filter for `~director.film`. -{{< runnable >}} -{ - caro(func: eq(name@en, "Marc Caro")) { - name@en - director.film @filter(uid_in(~director.film, 0x99706)) { - name@en - } - } -} -{{< /runnable >}} - - -### has - -Syntax Examples: `has(predicate)` - -Schema Types: all - -Determines if a node has a particular predicate. - -Query Example: First five directors and all their movies that have a release date recorded. Directors have directed at least one film --- equivalent semantics to `gt(count(director.film), 0)`. -{{< runnable >}} -{ - me(func: has(director.film), first: 5) { - name@en - director.film @filter(has(initial_release_date)) { - initial_release_date - name@en - } - } -} -{{< /runnable >}} - -### Geolocation - -{{% notice "note" %}} As of now we only support indexing Point, Polygon and MultiPolygon [geometry types](https://github.com/twpayne/go-geom#geometry-types). However, Dgraph can store other types of gelocation data. {{% /notice %}} - -Note that for geo queries, any polygon with holes is replace with the outer loop, ignoring holes. Also, as for version 0.7.7 polygon containment checks are approximate. - -#### Mutations - -To make use of the geo functions you would need an index on your predicate. -``` -loc: geo @index(geo) . -``` - -Here is how you would add a `Point`. - -``` -{ - set { - <_:0xeb1dde9c> "{'type':'Point','coordinates':[-122.4220186,37.772318]}"^^ . - <_:0xeb1dde9c> "Hamon Tower" . - <_:0xeb1dde9c> "Location" . - } -} -``` - -Here is how you would associate a `Polygon` with a node. Adding a `MultiPolygon` is also similar. - -``` -{ - set { - <_:0xf76c276b> "{'type':'Polygon','coordinates':[[[-122.409869,37.7785442],[-122.4097444,37.7786443],[-122.4097544,37.7786521],[-122.4096334,37.7787494],[-122.4096233,37.7787416],[-122.4094004,37.7789207],[-122.4095818,37.7790617],[-122.4097883,37.7792189],[-122.4102599,37.7788413],[-122.409869,37.7785442]],[[-122.4097357,37.7787848],[-122.4098499,37.778693],[-122.4099025,37.7787339],[-122.4097882,37.7788257],[-122.4097357,37.7787848]]]}"^^ . - <_:0xf76c276b> "Best Western Americana Hotel" . - <_:0xf76c276b> "Location" . - } -} -``` - -The above examples have been picked from our [SF Tourism](https://github.com/dgraph-io/benchmarks/blob/master/data/sf.tourism.gz?raw=true) dataset. - -#### Query - -##### near - -Syntax Example: `near(predicate, [long, lat], distance)` - -Schema Types: `geo` - -Index Required: `geo` - -Matches all entities where the location given by `predicate` is within `distance` meters of geojson coordinate `[long, lat]`. - -Query Example: Tourist destinations within 1000 meters (1 kilometer) of a point in Golden Gate Park in San Francisco. - -{{< runnable >}} -{ - tourist(func: near(loc, [-122.469829, 37.771935], 1000) ) { - name - } -} -{{< /runnable >}} - - -##### within - -Syntax Example: `within(predicate, [[[long1, lat1], ..., [longN, latN]]])` - -Schema Types: `geo` - -Index Required: `geo` - -Matches all entities where the location given by `predicate` lies within the polygon specified by the geojson coordinate array. - -Query Example: Tourist destinations within the specified area of Golden Gate Park, San Francisco. - -{{< runnable >}} -{ - tourist(func: within(loc, [[[-122.47266769409178, 37.769018558337926 ], [ -122.47266769409178, 37.773699921075135 ], [ -122.4651575088501, 37.773699921075135 ], [ -122.4651575088501, 37.769018558337926 ], [ -122.47266769409178, 37.769018558337926]]] )) { - name - } -} -{{< /runnable >}} - - -##### contains - -Syntax Examples: `contains(predicate, [long, lat])` or `contains(predicate, [[long1, lat1], ..., [longN, latN]])` - -Schema Types: `geo` - -Index Required: `geo` - -Matches all entities where the polygon describing the location given by `predicate` contains geojson coordinate `[long, lat]` or given geojson polygon. - -Query Example : All entities that contain a point in the flamingo enclosure of San Francisco Zoo. -{{< runnable >}} -{ - tourist(func: contains(loc, [ -122.50326097011566, 37.73353615592843 ] )) { - name - } -} -{{< /runnable >}} - - -##### intersects - -Syntax Example: `intersects(predicate, [[[long1, lat1], ..., [longN, latN]]])` - -Schema Types: `geo` - -Index Required: `geo` - -Matches all entities where the polygon describing the location given by `predicate` intersects the given geojson polygon. - - -{{< runnable >}} -{ - tourist(func: intersects(loc, [[[-122.503325343132, 37.73345766902749 ], [ -122.503325343132, 37.733903134117966 ], [ -122.50271648168564, 37.733903134117966 ], [ -122.50271648168564, 37.73345766902749 ], [ -122.503325343132, 37.73345766902749]]] )) { - name - } -} -{{< /runnable >}} - - - -## Connecting Filters - -Within `@filter` multiple functions can be used with boolean connectives. - -### AND, OR and NOT - -Connectives `AND`, `OR` and `NOT` join filters and can be built into arbitrarily complex filters, such as `(NOT A OR B) AND (C AND NOT (D OR E))`. Note that, `NOT` binds more tightly than `AND` which binds more tightly than `OR`. - -Query Example : All Steven Spielberg movies that contain either both "indiana" and "jones" OR both "jurassic" and "park". - -{{< runnable >}} -{ - me(func: eq(name@en, "Steven Spielberg")) @filter(has(director.film)) { - name@en - director.film @filter(allofterms(name@en, "jones indiana") OR allofterms(name@en, "jurassic park")) { - uid - name@en - } - } -} -{{< /runnable >}} - - -## Alias - -Syntax Examples: - -* `aliasName : predicate` -* `aliasName : predicate { ... }` -* `aliasName : varName as ...` -* `aliasName : count(predicate)` -* `aliasName : max(val(varName))` - -An alias provides an alternate name in results. Predicates, variables and aggregates can be aliased by prefixing with the alias name and `:`. Aliases do not have to be different to the original predicate name, but, within a block, an alias must be distinct from predicate names and other aliases returned in the same block. Aliases can be used to return the same predicate multiple times within a block. - - - -Query Example: Directors with `name` matching term `Steven`, their UID, English name, average number of actors per movie, total number of films, and the name of each film in English and French. -{{< runnable >}} -{ - ID as var(func: allofterms(name@en, "Steven")) @filter(has(director.film)) { - director.film { - num_actors as count(starring) - } - average as avg(val(num_actors)) - } - - films(func: uid(ID)) { - director_id : uid - english_name : name@en - average_actors : val(average) - num_films : count(director.film) - - films : director.film { - name : name@en - english_name : name@en - french_name : name@fr - } - } -} -{{< /runnable >}} - - -## Pagination - -Pagination allows returning only a portion, rather than the whole, result set. This can be useful for top-k style queries as well as to reduce the size of the result set for client side processing or to allow paged access to results. - -Pagination is often used with [sorting]({{< relref "#sorting">}}). - -{{% notice "note" %}}Without a sort order specified, the results are sorted by `uid`, which is assigned randomly. So the ordering, while deterministic, might not be what you expected.{{% /notice %}} - -### First - -Syntax Examples: - -* `q(func: ..., first: N)` -* `predicate (first: N) { ... }` -* `predicate @filter(...) (first: N) { ... }` - -For positive `N`, `first: N` retrieves the first `N` results, by sorted or UID order. - -For negative `N`, `first: N` retrieves the last `N` results, by sorted or UID order. Currently, negative is only supported when no order is applied. To achieve the effect of a negative with a sort, reverse the order of the sort and use a positive `N`. - - -Query Example: Last two films, by UID order, directed by Steven Spielberg and the first three genres of those movies, sorted alphabetically by English name. - -{{< runnable >}} -{ - me(func: allofterms(name@en, "Steven Spielberg")) { - director.film (first: -2) { - name@en - initial_release_date - genre (orderasc: name@en) (first: 3) { - name@en - } - } - } -} -{{< /runnable >}} - - - -Query Example: The three directors named Steven who have directed the most actors of all directors named Steven. - -{{< runnable >}} -{ - ID as var(func: allofterms(name@en, "Steven")) @filter(has(director.film)) { - director.film { - stars as count(starring) - } - totalActors as sum(val(stars)) - } - - mostStars(func: uid(ID), orderdesc: val(totalActors), first: 3) { - name@en - stars : val(totalActors) - - director.film { - name@en - } - } -} -{{< /runnable >}} - -### Offset - -Syntax Examples: - -* `q(func: ..., offset: N)` -* `predicate (offset: N) { ... }` -* `predicate (first: M, offset: N) { ... }` -* `predicate @filter(...) (offset: N) { ... }` - -With `offset: N` the first `N` results are not returned. Used in combination with first, `first: M, offset: N` skips over `N` results and returns the following `M`. - -Query Example: Order Hark Tsui's films by English title, skip over the first 4 and return the following 6. - -{{< runnable >}} -{ - me(func: allofterms(name@en, "Hark Tsui")) { - name@zh - name@en - director.film (orderasc: name@en) (first:6, offset:4) { - genre { - name@en - } - name@zh - name@en - initial_release_date - } - } -} -{{< /runnable >}} - -### After - -Syntax Examples: - -* `q(func: ..., after: UID)` -* `predicate (first: N, after: UID) { ... }` -* `predicate @filter(...) (first: N, after: UID) { ... }` - -Another way to get results after skipping over some results is to use the default UID ordering and skip directly past a node specified by UID. For example, a first query could be of the form `predicate (after: 0x0, first: N)`, or just `predicate (first: N)`, with subsequent queries of the form `predicate(after: , first: N)`. - - -Query Example: The first five of Baz Luhrmann's films, sorted by UID order. - -{{< runnable >}} -{ - me(func: allofterms(name@en, "Baz Luhrmann")) { - name@en - director.film (first:5) { - uid - name@en - } - } -} -{{< /runnable >}} - -The fifth movie is the Australian movie classic Strictly Ballroom. It has UID `0x99e44`. The results after Strictly Ballroom can now be obtained with `after`. - -{{< runnable >}} -{ - me(func: allofterms(name@en, "Baz Luhrmann")) { - name@en - director.film (first:5, after: 0x99e44) { - uid - name@en - } - } -} -{{< /runnable >}} - - -## Count - -Syntax Examples: - -* `count(predicate)` -* `count(uid)` - -The form `count(predicate)` counts how many `predicate` edges lead out of a node. - -The form `count(uid)` counts the number of UIDs matched in the enclosing block. - -Query Example: The number of films acted in by each actor with `Orlando` in their name. - -{{< runnable >}} -{ - me(func: allofterms(name@en, "Orlando")) @filter(has(actor.film)) { - name@en - count(actor.film) - } -} -{{< /runnable >}} - -Count can be used at root and [aliased]({{< relref "#alias">}}). - -Query Example: Count of directors who have directed more than five films. When used at the query root, the [count index]({{< relref "#count-index">}}) is required. - -{{< runnable >}} -{ - directors(func: gt(count(director.film), 5)) { - totalDirectors : count(uid) - } -} -{{< /runnable >}} - - -Count can be assigned to a [value variable]({{< relref "#value-variables">}}). - -Query Example: The actors of Ang Lee's "Eat Drink Man Woman" ordered by the number of movies acted in. - -{{< runnable >}} -{ - var(func: allofterms(name@en, "eat drink man woman")) { - starring { - actors as performance.actor { - totalRoles as count(actor.film) - } - } - } - - edmw(func: uid(actors), orderdesc: val(totalRoles)) { - name@en - name@zh - totalRoles : val(totalRoles) - } -} -{{< /runnable >}} - - -## Sorting - -Syntax Examples: - -* `q(func: ..., orderasc: predicate)` -* `q(func: ..., orderdesc: val(varName))` -* `predicate (orderdesc: predicate) { ... }` -* `predicate @filter(...) (orderasc: N) { ... }` -* `q(func: ..., orderasc: predicate1, orderdesc: predicate2)` - -Sortable Types: `int`, `float`, `String`, `dateTime`, `default` - -Results can be sorted in ascending order (`orderasc`) or descending order (`orderdesc`) by a predicate or variable. - -For sorting on predicates with [sortable indices]({{< relref "#sortable-indices">}}), Dgraph sorts on the values and with the index in parallel and returns whichever result is computed first. - -Sorted queries retrieve up to 1000 results by default. This can be changed with [first]({{< relref "#first">}}). - - -Query Example: French director Jean-Pierre Jeunet's movies sorted by release date. - -{{< runnable >}} -{ - me(func: allofterms(name@en, "Jean-Pierre Jeunet")) { - name@fr - director.film(orderasc: initial_release_date) { - name@fr - name@en - initial_release_date - } - } -} -{{< /runnable >}} - -Sorting can be performed at root and on value variables. - -Query Example: All genres sorted alphabetically and the five movies in each genre with the most genres. - -{{< runnable >}} -{ - genres as var(func: has(~genre)) { - ~genre { - numGenres as count(genre) - } - } - - genres(func: uid(genres), orderasc: name@en) { - name@en - ~genre (orderdesc: val(numGenres), first: 5) { - name@en - genres : val(numGenres) - } - } -} -{{< /runnable >}} - -Sorting can also be performed by multiple predicates as shown below. If the values are equal for the -first predicate, then they are sorted by the second predicate and so on. - -Query Example: Find all nodes which have type Person, sort them by their first_name and among those -that have the same first_name sort them by last_name in descending order. - -``` -{ - me(func: type("Person"), orderasc: first_name, orderdesc: last_name) { - first_name - last_name - } -} -``` - -## Multiple Query Blocks - -Inside a single query, multiple query blocks are allowed. The result is all blocks with corresponding block names. - -Multiple query blocks are executed in parallel. - -The blocks need not be related in any way. - -Query Example: All of Angelina Jolie's films, with genres, and Peter Jackson's films since 2008. - -{{< runnable >}} -{ - AngelinaInfo(func:allofterms(name@en, "angelina jolie")) { - name@en - actor.film { - performance.film { - genre { - name@en - } - } - } - } - - DirectorInfo(func: eq(name@en, "Peter Jackson")) { - name@en - director.film @filter(ge(initial_release_date, "2008")) { - Release_date: initial_release_date - Name: name@en - } - } -} -{{< /runnable >}} - - -If queries contain some overlap in answers, the result sets are still independent. - -Query Example: The movies Mackenzie Crook has acted in and the movies Jack Davenport has acted in. The results sets overlap because both have acted in the Pirates of the Caribbean movies, but the results are independent and both contain the full answers sets. - -{{< runnable >}} -{ - Mackenzie(func:allofterms(name@en, "Mackenzie Crook")) { - name@en - actor.film { - performance.film { - uid - name@en - } - performance.character { - name@en - } - } - } - - Jack(func:allofterms(name@en, "Jack Davenport")) { - name@en - actor.film { - performance.film { - uid - name@en - } - performance.character { - name@en - } - } - } -} -{{< /runnable >}} - - -### Var Blocks - -Var blocks start with the keyword `var` and are not returned in the query results. - -Query Example: Angelina Jolie's movies ordered by genre. - -{{< runnable >}} -{ - var(func:allofterms(name@en, "angelina jolie")) { - name@en - actor.film { - A AS performance.film { - B AS genre - } - } - } - - films(func: uid(B), orderasc: name@en) { - name@en - ~genre @filter(uid(A)) { - name@en - } - } -} -{{< /runnable >}} - - -## Query Variables - -Syntax Examples: - -* `varName as q(func: ...) { ... }` -* `varName as var(func: ...) { ... }` -* `varName as predicate { ... }` -* `varName as predicate @filter(...) { ... }` - -Types : `uid` - -Nodes (UIDs) matched at one place in a query can be stored in a variable and used elsewhere. Query variables can be used in other query blocks or in a child node of the defining block. - -Query variables do not affect the semantics of the query at the point of definition. Query variables are evaluated to all nodes matched by the defining block. - -In general, query blocks are executed in parallel, but variables impose an evaluation order on some blocks. Cycles induced by variable dependence are not permitted. - -If a variable is defined, it must be used elsewhere in the query. - -A query variable is used by extracting the UIDs in it with `uid(var-name)`. - -The syntax `func: uid(A,B)` or `@filter(uid(A,B))` means the union of UIDs for variables `A` and `B`. - -Query Example: The movies of Angelia Jolie and Brad Pitt where both have acted on movies in the same genre. Note that `B` and `D` match all genres for all movies, not genres per movie. -{{< runnable >}} -{ - var(func:allofterms(name@en, "angelina jolie")) { - actor.film { - A AS performance.film { # All films acted in by Angelina Jolie - B As genre # Genres of all the films acted in by Angelina Jolie - } - } - } - - var(func:allofterms(name@en, "brad pitt")) { - actor.film { - C AS performance.film { # All films acted in by Brad Pitt - D as genre # Genres of all the films acted in by Brad Pitt - } - } - } - - films(func: uid(D)) @filter(uid(B)) { # Genres from both Angelina and Brad - name@en - ~genre @filter(uid(A, C)) { # Movies in either A or C. - name@en - } - } -} -{{< /runnable >}} - - -## Value Variables - -Syntax Examples: - -* `varName as scalarPredicate` -* `varName as count(predicate)` -* `varName as avg(...)` -* `varName as math(...)` - -Types : `int`, `float`, `String`, `dateTime`, `default`, `geo`, `bool` - -Value variables store scalar values. Value variables are a map from the UIDs of the enclosing block to the corresponding values. - -It therefore only makes sense to use the values from a value variable in a context that matches the same UIDs - if used in a block matching different UIDs the value variable is undefined. - -It is an error to define a value variable but not use it elsewhere in the query. - -Value variables are used by extracting the values with `val(var-name)`, or by extracting the UIDs with `uid(var-name)`. - -[Facet]({{< relref "#facets-edge-attributes">}}) values can be stored in value variables. - -Query Example: The number of movie roles played by the actors of the 80's classic "The Princess Bride". Query variable `pbActors` matches the UIDs of all actors from the movie. Value variable `roles` is thus a map from actor UID to number of roles. Value variable `roles` can be used in the `totalRoles` query block because that query block also matches the `pbActors` UIDs, so the actor to number of roles map is available. - -{{< runnable >}} -{ - var(func:allofterms(name@en, "The Princess Bride")) { - starring { - pbActors as performance.actor { - roles as count(actor.film) - } - } - } - totalRoles(func: uid(pbActors), orderasc: val(roles)) { - name@en - numRoles : val(roles) - } -} -{{< /runnable >}} - - -Value variables can be used in place of UID variables by extracting the UID list from the map. - -Query Example: The same query as the previous example, but using value variable `roles` for matching UIDs in the `totalRoles` query block. - -{{< runnable >}} -{ - var(func:allofterms(name@en, "The Princess Bride")) { - starring { - performance.actor { - roles as count(actor.film) - } - } - } - totalRoles(func: uid(roles), orderasc: val(roles)) { - name@en - numRoles : val(roles) - } -} -{{< /runnable >}} - - -### Variable Propagation - -Like query variables, value variables can be used in other query blocks and in blocks nested within the defining block. When used in a block nested within the block that defines the variable, the value is computed as a sum of the variable for parent nodes along all paths to the point of use. This is called variable propagation. - -For example: -``` -{ - q(func: uid(0x01)) { - myscore as math(1) # A - friends { # B - friends { # C - ...myscore... - } - } - } -} -``` -At line A, a value variable `myscore` is defined as mapping node with UID `0x01` to value 1. At B, the value for each friend is still 1: there is only one path to each friend. Traversing the friend edge twice reaches the friends of friends. The variable `myscore` gets propagated such that each friend of friend will receive the sum of its parents values: if a friend of a friend is reachable from only one friend, the value is still 1, if they are reachable from two friends, the value is two and so on. That is, the value of `myscore` for each friend of friends inside the block marked C will be the number of paths to them. - -**The value that a node receives for a propagated variable is the sum of the values of all its parent nodes.** - -This propagation is useful, for example, in normalizing a sum across users, finding the number of paths between nodes and accumulating a sum through a graph. - - - -Query Example: For each Harry Potter movie, the number of roles played by actor Warwick Davis. -{{< runnable >}} -{ - num_roles(func: eq(name@en, "Warwick Davis")) @cascade @normalize { - - paths as math(1) # records number of paths to each character - - actor : name@en - - actor.film { - performance.film @filter(allofterms(name@en, "Harry Potter")) { - film_name : name@en - characters : math(paths) # how many paths (i.e. characters) reach this film - } - } - } -} -{{< /runnable >}} - - -Query Example: Each actor who has been in a Peter Jackson movie and the fraction of Peter Jackson movies they have appeared in. -{{< runnable >}} -{ - movie_fraction(func:eq(name@en, "Peter Jackson")) @normalize { - - paths as math(1) - total_films : num_films as count(director.film) - director : name@en - - director.film { - starring { - performance.actor { - fraction : math(paths / (num_films/paths)) - actor : name@en - } - } - } - } -} -{{< /runnable >}} - -More examples can be found in two Dgraph blog posts about using variable propagation for recommendation engines ([post 1](https://open.dgraph.io/post/recommendation/), [post 2](https://open.dgraph.io/post/recommendation2/)). - -## Aggregation - -Syntax Example: `AG(val(varName))` - -For `AG` replaced with - -* `min` : select the minimum value in the value variable `varName` -* `max` : select the maximum value -* `sum` : sum all values in value variable `varName` -* `avg` : calculate the average of values in `varName` - -Schema Types: - -| Aggregation | Schema Types | -|:-----------|:--------------| -| `min` / `max` | `int`, `float`, `string`, `dateTime`, `default` | -| `sum` / `avg` | `int`, `float` | - -Aggregation can only be applied to [value variables]({{< relref "#value-variables">}}). An index is not required (the values have already been found and stored in the value variable mapping). - -An aggregation is applied at the query block enclosing the variable definition. As opposed to query variables and value variables, which are global, aggregation is computed locally. For example: -``` -A as predicateA { - ... - B as predicateB { - x as ...some value... - } - min(val(x)) -} -``` -Here, `A` and `B` are the lists of all UIDs that match these blocks. Value variable `x` is a mapping from UIDs in `B` to values. The aggregation `min(val(x))`, however, is computed for each UID in `A`. That is, it has a semantics of: for each UID in `A`, take the slice of `x` that corresponds to `A`'s outgoing `predicateB` edges and compute the aggregation for those values. - -Aggregations can themselves be assigned to value variables, making a UID to aggregation map. - - -### Min - -#### Usage at Root - -Query Example: Get the min initial release date for any Harry Potter movie. - -The release date is assigned to a variable, then it is aggregated and fetched in an empty block. -{{< runnable >}} -{ - var(func: allofterms(name@en, "Harry Potter")) { - d as initial_release_date - } - me() { - min(val(d)) - } -} -{{< /runnable >}} - -#### Usage at other levels - -Query Example: Directors called Steven and the date of release of their first movie, in ascending order of first movie. - -{{< runnable >}} -{ - stevens as var(func: allofterms(name@en, "steven")) { - director.film { - ird as initial_release_date - # ird is a value variable mapping a film UID to its release date - } - minIRD as min(val(ird)) - # minIRD is a value variable mapping a director UID to their first release date - } - - byIRD(func: uid(stevens), orderasc: val(minIRD)) { - name@en - firstRelease: val(minIRD) - } -} -{{< /runnable >}} - -### Max - -#### Usage at Root - -Query Example: Get the max initial release date for any Harry Potter movie. - -The release date is assigned to a variable, then it is aggregated and fetched in an empty block. -{{< runnable >}} -{ - var(func: allofterms(name@en, "Harry Potter")) { - d as initial_release_date - } - me() { - max(val(d)) - } -} -{{< /runnable >}} - -#### Usage at other levels - -Query Example: Quentin Tarantino's movies and date of release of the most recent movie. - -{{< runnable >}} -{ - director(func: allofterms(name@en, "Quentin Tarantino")) { - director.film { - name@en - x as initial_release_date - } - max(val(x)) - } -} -{{< /runnable >}} - -### Sum and Avg - -#### Usage at Root - -Query Example: Get the sum and average of number of count of movies directed by people who have -Steven or Tom in their name. - -{{< runnable >}} -{ - var(func: anyofterms(name@en, "Steven Tom")) { - a as count(director.film) - } - - me() { - avg(val(a)) - sum(val(a)) - } -} -{{< /runnable >}} - -#### Usage at other levels - -Query Example: Steven Spielberg's movies, with the number of recorded genres per movie, and the total number of genres and average genres per movie. - -{{< runnable >}} -{ - director(func: eq(name@en, "Steven Spielberg")) { - name@en - director.film { - name@en - numGenres : g as count(genre) - } - totalGenres : sum(val(g)) - genresPerMovie : avg(val(g)) - } -} -{{< /runnable >}} - - -### Aggregating Aggregates - -Aggregations can be assigned to value variables, and so these variables can in turn be aggregated. - -Query Example: For each actor in a Peter Jackson film, find the number of roles played in any movie. Sum these to find the total number of roles ever played by all actors in the movie. Then sum the lot to find the total number of roles ever played by actors who have appeared in Peter Jackson movies. Note that this demonstrates how to aggregate aggregates; the answer in this case isn't quite precise though, because actors that have appeared in multiple Peter Jackson movies are counted more than once. - -{{< runnable >}} -{ - PJ as var(func:allofterms(name@en, "Peter Jackson")) { - director.film { - starring { # starring an actor - performance.actor { - movies as count(actor.film) - # number of roles for this actor - } - perf_total as sum(val(movies)) - } - movie_total as sum(val(perf_total)) - # total roles for all actors in this movie - } - gt as sum(val(movie_total)) - } - - PJmovies(func: uid(PJ)) { - name@en - director.film (orderdesc: val(movie_total), first: 5) { - name@en - totalRoles : val(movie_total) - } - grandTotal : val(gt) - } -} -{{< /runnable >}} - - -## Math on value variables - -Value variables can be combined using mathematical functions. For example, this could be used to associate a score which is then used to order or perform other operations, such as might be used in building news feeds, simple recommendation systems, and so on. - -Math statements must be enclosed within `math( )` and must be stored to a value variable. - -The supported operators are as follows: - -| Operators | Types accepted | What it does | -| :------------: | :--------------: | :------------------------: | -| `+` `-` `*` `/` `%` | `int`, `float` | performs the corresponding operation | -| `min` `max` | All types except `geo`, `bool` (binary functions) | selects the min/max value among the two | -| `<` `>` `<=` `>=` `==` `!=` | All types except `geo`, `bool` | Returns true or false based on the values | -| `floor` `ceil` `ln` `exp` `sqrt` | `int`, `float` (unary function) | performs the corresponding operation | -| `since` | `dateTime` | Returns the number of seconds in float from the time specified | -| `pow(a, b)` | `int`, `float` | Returns `a to the power b` | -| `logbase(a,b)` | `int`, `float` | Returns `log(a)` to the base `b` | -| `cond(a, b, c)` | first operand must be a boolean | selects `b` if `a` is true else `c` | - - -Query Example: Form a score for each of Steven Spielberg's movies as the sum of number of actors, number of genres and number of countries. List the top five such movies in order of decreasing score. - -{{< runnable >}} -{ - var(func:allofterms(name@en, "steven spielberg")) { - films as director.film { - p as count(starring) - q as count(genre) - r as count(country) - score as math(p + q + r) - } - } - - TopMovies(func: uid(films), orderdesc: val(score), first: 5){ - name@en - val(score) - } -} -{{< /runnable >}} - -Value variables and aggregations of them can be used in filters. - -Query Example: Calculate a score for each Steven Spielberg movie with a condition on release date to penalize movies that are more than 10 years old, filtering on the resulting score. - -{{< runnable >}} -{ - var(func:allofterms(name@en, "steven spielberg")) { - films as director.film { - p as count(starring) - q as count(genre) - date as initial_release_date - years as math(since(date)/(365*24*60*60)) - score as math(cond(years > 10, 0, ln(p)+q-ln(years))) - } - } - - TopMovies(func: uid(films), orderdesc: val(score)) @filter(gt(val(score), 2)){ - name@en - val(score) - val(date) - } -} -{{< /runnable >}} - - -Values calculated with math operations are stored to value variables and so can be aggregated. - -Query Example: Compute a score for each Steven Spielberg movie and then aggregate the score. - -{{< runnable >}} -{ - steven as var(func:eq(name@en, "Steven Spielberg")) @filter(has(director.film)) { - director.film { - p as count(starring) - q as count(genre) - r as count(country) - score as math(p + q + r) - } - directorScore as sum(val(score)) - } - - score(func: uid(steven)){ - name@en - val(directorScore) - } -} -{{< /runnable >}} - - -## GroupBy - -Syntax Examples: - -* `q(func: ...) @groupby(predicate) { min(...) }` -* `predicate @groupby(pred) { count(uid) }`` - - -A `groupby` query aggregates query results given a set of properties on which to group elements. For example, a query containing the block `friend @groupby(age) { count(uid) }`, finds all nodes reachable along the friend edge, partitions these into groups based on age, then counts how many nodes are in each group. The returned result is the grouped edges and the aggregations. - -Inside a `groupby` block, only aggregations are allowed and `count` may only be applied to `uid`. - -If the `groupby` is applied to a `uid` predicate, the resulting aggregations can be saved in a variable (mapping the grouped UIDs to aggregate values) and used elsewhere in the query to extract information other than the grouped or aggregated edges. - -Query Example: For Steven Spielberg movies, count the number of movies in each genre and for each of those genres return the genre name and the count. The name can't be extracted in the `groupby` because it is not an aggregate, but `uid(a)` can be used to extract the UIDs from the UID to value map and thus organize the `byGenre` query by genre UID. - - -{{< runnable >}} -{ - var(func:allofterms(name@en, "steven spielberg")) { - director.film @groupby(genre) { - a as count(uid) - # a is a genre UID to count value variable - } - } - - byGenre(func: uid(a), orderdesc: val(a)) { - name@en - total_movies : val(a) - } -} -{{< /runnable >}} - -Query Example: Actors from Tim Burton movies and how many roles they have played in Tim Burton movies. -{{< runnable >}} -{ - var(func:allofterms(name@en, "Tim Burton")) { - director.film { - starring @groupby(performance.actor) { - a as count(uid) - # a is an actor UID to count value variable - } - } - } - - byActor(func: uid(a), orderdesc: val(a)) { - name@en - val(a) - } -} -{{< /runnable >}} - -## Expand Predicates - -The `expand()` function can be used to expand the predicates out of a node. To -use `expand()`, the [type system]({{< relref "#type-system" >}}) is required. -Refer to the section on the type system to check how to set the types -nodes. The rest of this section assumes familiarity with that section. - -There are two ways to use the `expand` function. - -* Types can be passed to `expand()` to expand all the predicates in the type. - -Query example: List the movies from the Harry Potter series: - -{{< runnable >}} -{ - all(func: eq(name@en, "Harry Potter")) @filter(type(Series)) { - name@en - expand(Series) { - name@en - expand(Film) - } - } -} -{{< /runnable >}} - -* If `_all_` is passed as an argument to `expand()`, the predicates to be -expanded will be the union of fields in the types assigned to a given node. - -The `_all_` keyword requires that the nodes have types. Dgraph will look for all -the types that have been assigned to a node, query the types to check which -attributes they have, and use those to compute the list of predicates to expand. - -For example, consider a node that has types `Animal` and `Pet`, which have -the following definitions: - -``` -type Animal { - name - species - dob -} - -type Pet { - owner - veterinarian -} -``` - -When `expand(_all_)` is called on this node, Dgraph will first check which types -the node has (`Animal` and `Pet`). Then it will get the definitions of `Animal` -and `Pet` and build a list of predicates from their type definitions. - -``` -name -species -dob -owner -veterinarian -``` - -{{% notice "note" %}} -For `string` predicates, `expand` only returns values not tagged with a language -(see [language preference]({{< relref "#language-support" >}})). So it's often -required to add `name@fr` or `name@.` as well to an expand query. -{{% /notice %}} - -### Filtering during expand. - -Expand queries support filters on the type of the outgoing edge. For example, -`expand(_all_) @filter(type(Person))` will expand on all the predicates but will -only include edges whose destination node is of type Person. Since only nodes of -type `uid` can have a type, this query will filter out any scalar values. - -Please note that other type of filters and directives are not currently supported -with the expand function. The filter needs to use the `type` function for the -filter to be allowed. Logical `AND` and `OR` operations are allowed. For -example, `expand(_all_) @filter(type(Person) OR type(Animal))` will only expand -the edges that point to nodes of either type. - -## Cascade Directive - -With the `@cascade` directive, nodes that don't have all predicates specified in the query are removed. This can be useful in cases where some filter was applied or if nodes might not have all listed predicates. - - -Query Example: Harry Potter movies, with each actor and characters played. With `@cascade`, any character not played by an actor called Warwick is removed, as is any Harry Potter movie without any actors called Warwick. Without `@cascade`, every character is returned, but only those played by actors called Warwick also have the actor name. -{{< runnable >}} -{ - HP(func: allofterms(name@en, "Harry Potter")) @cascade { - name@en - starring{ - performance.character { - name@en - } - performance.actor @filter(allofterms(name@en, "Warwick")){ - name@en - } - } - } -} -{{< /runnable >}} - -You can apply `@cascade` on inner query blocks as well. -{{< runnable >}} -{ - HP(func: allofterms(name@en, "Harry Potter")) { - name@en - genre { - name@en - } - starring @cascade { - performance.character { - name@en - } - performance.actor @filter(allofterms(name@en, "Warwick")){ - name@en - } - } - } -} -{{< /runnable >}} - -## Normalize directive - -With the `@normalize` directive, only aliased predicates are returned and the result is flattened to remove nesting. - -Query Example: Film name, country and first two actors (by UID order) of every Steven Spielberg movie, without `initial_release_date` because no alias is given and flattened by `@normalize` -{{< runnable >}} -{ - director(func:allofterms(name@en, "steven spielberg")) @normalize { - director: name@en - director.film { - film: name@en - initial_release_date - starring(first: 2) { - performance.actor { - actor: name@en - } - performance.character { - character: name@en - } - } - country { - country: name@en - } - } - } -} -{{< /runnable >}} - -You can also apply `@normalize` on nested query blocks. It will work similarly but only flatten the result of the nested query block where `@normalize` has been applied. `@normalize` will return a list irrespective of the type of attribute on which it is applied. -{{< runnable >}} -{ - director(func:allofterms(name@en, "steven spielberg")) { - director: name@en - director.film { - film: name@en - initial_release_date - starring(first: 2) @normalize { - performance.actor { - actor: name@en - } - performance.character { - character: name@en - } - } - country { - country: name@en - } - } - } -} -{{< /runnable >}} - - -## IgnoreReflex directive - -The `@ignorereflex` directive forces the removal of child nodes that are reachable from themselves as a parent, through any path in the query result - -Query Example: All the co-actors of Rutger Hauer. Without `@ignorereflex`, the result would also include Rutger Hauer for every movie. - -{{< runnable >}} -{ - coactors(func: eq(name@en, "Rutger Hauer")) @ignorereflex { - actor.film { - performance.film { - starring { - performance.actor { - name@en - } - } - } - } - } -} -{{< /runnable >}} - -## Debug - -For the purposes of debugging, you can attach a query parameter `debug=true` to a query. Attaching this parameter lets you retrieve the `uid` attribute for all the entities along with the `server_latency` and `start_ts` information under the `extensions` key of the response. - -- `parsing_ns`: Latency in nanoseconds to parse the query. -- `processing_ns`: Latency in nanoseconds to process the query. -- `encoding_ns`: Latency in nanoseconds to encode the JSON response. -- `start_ts`: The logical start timestamp of the transaction. - -Query with debug as a query parameter -```sh -curl -H "Content-Type: application/graphql+-" http://localhost:8080/query?debug=true -XPOST -d $'{ - tbl(func: allofterms(name@en, "The Big Lebowski")) { - name@en - } -}' | python -m json.tool | less -``` - -Returns `uid` and `server_latency` -``` -{ - "data": { - "tbl": [ - { - "uid": "0x41434", - "name@en": "The Big Lebowski" - }, - { - "uid": "0x145834", - "name@en": "The Big Lebowski 2" - }, - { - "uid": "0x2c8a40", - "name@en": "Jeffrey \"The Big\" Lebowski" - }, - { - "uid": "0x3454c4", - "name@en": "The Big Lebowski" - } - ], - "extensions": { - "server_latency": { - "parsing_ns": 18559, - "processing_ns": 802990982, - "encoding_ns": 1177565 - }, - "txn": { - "start_ts": 40010 - } - } - } -} -``` - - -## Schema - -For each predicate, the schema specifies the target's type. If a predicate `p` has type `T`, then for all subject-predicate-object triples `s p o` the object `o` is of schema type `T`. - -* On mutations, scalar types are checked and an error thrown if the value cannot be converted to the schema type. - -* On query, value results are returned according to the schema type of the predicate. - -If a schema type isn't specified before a mutation adds triples for a predicate, then the type is inferred from the first mutation. This type is either: - -* type `uid`, if the first mutation for the predicate has nodes for the subject and object, or - -* derived from the [RDF type]({{< relref "#rdf-types" >}}), if the object is a literal and an RDF type is present in the first mutation, or - -* `default` type, otherwise. - - -### Schema Types - -Dgraph supports scalar types and the UID type. - -#### Scalar Types - -For all triples with a predicate of scalar types the object is a literal. - -| Dgraph Type | Go type | -| ------------|:--------| -| `default` | string | -| `int` | int64 | -| `float` | float | -| `string` | string | -| `bool` | bool | -| `dateTime` | time.Time (RFC3339 format [Optional timezone] eg: 2006-01-02T15:04:05.999999999+10:00 or 2006-01-02T15:04:05.999999999) | -| `geo` | [go-geom](https://github.com/twpayne/go-geom) | -| `password` | string (encrypted) | - - -{{% notice "note" %}}Dgraph supports date and time formats for `dateTime` scalar type only if they -are RFC 3339 compatible which is different from ISO 8601(as defined in the RDF spec). You should -convert your values to RFC 3339 format before sending them to Dgraph.{{% /notice %}} - -#### UID Type - -The `uid` type denotes a node-node edge; internally each node is represented as a `uint64` id. - -| Dgraph Type | Go type | -| ------------|:--------| -| `uid` | uint64 | - - -### Adding or Modifying Schema - -Schema mutations add or modify schema. - -Multiple scalar values can also be added for a `S P` by specifying the schema to be of -list type. Occupations in the example below can store a list of strings for each `S P`. - -An index is specified with `@index`, with arguments to specify the tokenizer. When specifying an -index for a predicate it is mandatory to specify the type of the index. For example: - -``` -name: string @index(exact, fulltext) @count . -multiname: string @lang . -age: int @index(int) . -friend: [uid] @count . -dob: dateTime . -location: geo @index(geo) . -occupations: [string] @index(term) . -``` - -If no data has been stored for the predicates, a schema mutation sets up an empty schema ready to receive triples. - -If data is already stored before the mutation, existing values are not checked to conform to the new schema. On query, Dgraph tries to convert existing values to the new schema types, ignoring any that fail conversion. - -If data exists and new indices are specified in a schema mutation, any index not in the updated list is dropped and a new index is created for every new tokenizer specified. - -Reverse edges are also computed if specified by a schema mutation. - - -### Indexes in Background - -Indexes may take long time to compute depending upon the size of the data. -Starting Dgraph version `20.03.0`, indexes can be computed in the background, -and thus indexing may still be running after an Alter operation returns. -This requires that you wait for indexing to complete before running queries -that require newly created indices. Such queries will fail with an error -notifying that a given predicate is not indexed or doesn't have reverse edges. - -An alter operation will also fail if one is already in progress with an error -`schema is already being modified. Please retry`. Though, mutations can -be successfully executed while indexing is going on. - -For example, let's say we execute an Alter operation with the following schema: - -``` -name: string @index(fulltext, term) . -age: int @index(int) @upsert . -friend: [uid] @count @reverse . -``` - -Once the Alter operation returns, Dgraph will report the following schema -and start background tasks to compute all the new indexes: - -``` -name: string . -age: int @upsert . -friend: [uid] . -``` - -When indexes are done computing, Dgraph will start reporting the indexes in the -schema. In a multi-node cluster, it is possible that the alphas will finish -computing indexes at different times. Alphas may return different schema in such -a case until all the indexes are done computing on all the Alphas. - -Background indexing task may fail if an unexpected error occurs while computing -the indexes. You should retry the Alter operation in order to update the schema, -or sync the schema across all the alphas. - -We also plan to add a simpler API soon to check the status of background indexing. -See this [PR](https://github.com/dgraph-io/dgraph/pull/4961) for more details. - -#### HTTP API - -You can specify the flag `runInBackground` to `true` to run -index computation in the background. - -```sh -curl localhost:8080/alter?runInBackground=true -XPOST -d $' - name: string @index(fulltext, term) . - age: int @index(int) @upsert . - friend: [uid] @count @reverse . -' | python -m json.tool | less -``` - -#### Grpc API - -You can set `RunInBackground` field to `true` of the `api.Operation` -struct before passing it to the `Alter` function. - -```go -op := &api.Operation{} -op.Schema = ` - name: string @index(fulltext, term) . - age: int @index(int) @upsert . - friend: [uid] @count @reverse . -` -op.RunInBackground = true -err = dg.Alter(context.Background(), op) -``` - - -### Predicate name rules - -Any alphanumeric combination of a predicate name is permitted. -Dgraph also supports [Internationalized Resource Identifiers](https://en.wikipedia.org/wiki/Internationalized_Resource_Identifier) (IRIs). -You can read more in [Predicates i18n](#predicates-i18n). - -#### Allowed special characters - -Single special characters are not accepted, which includes the special characters from IRIs. -They have to be prefixed/suffixed with alphanumeric characters. - -``` -][&*()_-+=!#$% -``` - -*Note: You are not restricted to use @ suffix, but the suffix character gets ignored.* - -#### Forbidden special characters - -The special characters below are not accepted. - -``` -^}|{`\~ -``` - - -### Predicates i18n - -If your predicate is a URI or has language-specific characters, then enclose -it with angle brackets `<>` when executing the schema mutation. - -{{% notice "note" %}}Dgraph supports [Internationalized Resource Identifiers](https://en.wikipedia.org/wiki/Internationalized_Resource_Identifier) (IRIs) for predicate names and values.{{% /notice %}} - -Schema syntax: -``` -<职业>: string @index(exact) . -<年龄>: int @index(int) . -<地点>: geo @index(geo) . -<公司>: string . -``` - -This syntax allows for internationalized predicate names, but full-text indexing still defaults to English. -To use the right tokenizer for your language, you need to use the `@lang` directive and enter values using your -language tag. - -Schema: -``` -<公司>: string @index(fulltext) @lang . -``` -Mutation: -``` -{ - set { - _:a <公司> "Dgraph Labs Inc"@en . - _:b <公司> "夏新科技有限责任公司"@zh . - _:a "Company" . - } -} -``` -Query: -``` -{ - q(func: alloftext(<公司>@zh, "夏新科技有限责任公司")) { - uid - <公司>@. - } -} -``` - - -### Upsert directive - -To use [upsert operations]({{< relref "howto/index.md#upserts">}}) on a -predicate, specify the `@upsert` directive in the schema. When committing -transactions involving predicates with the `@upsert` directive, Dgraph checks -index keys for conflicts, helping to enforce uniqueness constraints when running -concurrent upserts. - -This is how you specify the upsert directive for a predicate. -``` -email: string @index(exact) @upsert . -``` - -### Noconflict directive - -The NoConflict directive prevents conflict detection at the predicate level. This is an experimental feature and not a -recommended directive but exists to help avoid conflicts for predicates that don't have high -correctness requirements. This can cause data loss, especially when used for predicates with count -index. - -This is how you specify the `@noconflict` directive for a predicate. -``` -email: string @index(exact) @noconflict . -``` - -### RDF Types - -Dgraph supports a number of [RDF types in mutations]({{< relref "mutations/index.md#language-and-rdf-types" >}}). - -As well as implying a schema type for a [first mutation]({{< relref "#schema" >}}), an RDF type can override a schema type for storage. - -If a predicate has a schema type and a mutation has an RDF type with a different underlying Dgraph type, the convertibility to schema type is checked, and an error is thrown if they are incompatible, but the value is stored in the RDF type's corresponding Dgraph type. Query results are always returned in schema type. - -For example, if no schema is set for the `age` predicate. Given the mutation -``` -{ - set { - _:a "15"^^ . - _:b "13" . - _:c "14"^^ . - _:d "14.5"^^ . - _:e "14.5" . - } -} -``` -Dgraph: - -* sets the schema type to `int`, as implied by the first triple, -* converts `"13"` to `int` on storage, -* checks `"14"` can be converted to `int`, but stores as `string`, -* throws an error for the remaining two triples, because `"14.5"` can't be converted to `int`. - -### Extended Types - -The following types are also accepted. - -#### Password type - -A password for an entity is set with setting the schema for the attribute to be of type `password`. Passwords cannot be queried directly, only checked for a match using the `checkpwd` function. -The passwords are encrypted using [bcrypt](https://en.wikipedia.org/wiki/Bcrypt). - -For example: to set a password, first set schema, then the password: -``` -pass: password . -``` - -``` -{ - set { - <0x123> "Password Example" . - <0x123> "ThePassword" . - } -} -``` - -to check a password: -``` -{ - check(func: uid(0x123)) { - name - checkpwd(pass, "ThePassword") - } -} -``` - -output: -``` -{ - "data": { - "check": [ - { - "name": "Password Example", - "checkpwd(pass)": true - } - ] - } -} -``` - -You can also use alias with password type. - -``` -{ - check(func: uid(0x123)) { - name - secret: checkpwd(pass, "ThePassword") - } -} -``` - -output: -``` -{ - "data": { - "check": [ - { - "name": "Password Example", - "secret": true - } - ] - } -} -``` - -### Indexing - -{{% notice "note" %}}Filtering on a predicate by applying a [function]({{< relref "#functions" >}}) requires an index.{{% /notice %}} - -When filtering by applying a function, Dgraph uses the index to make the search through a potentially large dataset efficient. - -All scalar types can be indexed. - -Types `int`, `float`, `bool` and `geo` have only a default index each: with tokenizers named `int`, `float`, `bool` and `geo`. - -Types `string` and `dateTime` have a number of indices. - -#### String Indices -The indices available for strings are as follows. - -| Dgraph function | Required index / tokenizer | Notes | -| :----------------------- | :------------ | :--- | -| `eq` | `hash`, `exact`, `term`, or `fulltext` | The most performant index for `eq` is `hash`. Only use `term` or `fulltext` if you also require term or full-text search. If you're already using `term`, there is no need to use `hash` or `exact` as well. | -| `le`, `ge`, `lt`, `gt` | `exact` | Allows faster sorting. | -| `allofterms`, `anyofterms` | `term` | Allows searching by a term in a sentence. | -| `alloftext`, `anyoftext` | `fulltext` | Matching with language specific stemming and stopwords. | -| `regexp` | `trigram` | Regular expression matching. Can also be used for equality checking. | - -{{% notice "warning" %}} -Incorrect index choice can impose performance penalties and an increased -transaction conflict rate. Use only the minimum number of and simplest indexes -that your application needs. -{{% /notice %}} - - -#### DateTime Indices - -The indices available for `dateTime` are as follows. - -| Index name / Tokenizer | Part of date indexed | -| :----------- | :------------------------------------------------------------------ | -| `year` | index on year (default) | -| `month` | index on year and month | -| `day` | index on year, month and day | -| `hour` | index on year, month, day and hour | - -The choices of `dateTime` index allow selecting the precision of the index. Applications, such as the movies examples in these docs, that require searching over dates but have relatively few nodes per year may prefer the `year` tokenizer; applications that are dependent on fine grained date searches, such as real-time sensor readings, may prefer the `hour` index. - - -All the `dateTime` indices are sortable. - - -#### Sortable Indices - -Not all the indices establish a total order among the values that they index. Sortable indices allow inequality functions and sorting. - -* Indexes `int` and `float` are sortable. -* `string` index `exact` is sortable. -* All `dateTime` indices are sortable. - -For example, given an edge `name` of `string` type, to sort by `name` or perform inequality filtering on names, the `exact` index must have been specified. In which case a schema query would return at least the following tokenizers. - -``` -{ - "predicate": "name", - "type": "string", - "index": true, - "tokenizer": [ - "exact" - ] -} -``` - -#### Count index - -For predicates with the `@count` Dgraph indexes the number of edges out of each node. This enables fast queries of the form: -``` -{ - q(func: gt(count(pred), threshold)) { - ... - } -} -``` - -### List Type - -Predicate with scalar types can also store a list of values if specified in the schema. The scalar -type needs to be enclosed within `[]` to indicate that its a list type. These lists are like an -unordered set. - -``` -occupations: [string] . -score: [int] . -``` - -* A set operation adds to the list of values. The order of the stored values is non-deterministic. -* A delete operation deletes the value from the list. -* Querying for these predicates would return the list in an array. -* Indexes can be applied on predicates which have a list type and you can use [Functions]({{}}) on them. -* Sorting is not allowed using these predicates. - -### Filtering on list - -Dgraph supports filtering based on the list. -Filtering works similarly to how it works on edges and has the same available functions. - -For example, `@filter(eq(occupations, "Teacher"))` at the root of the query or the -parent edge will display all the occupations from a list of each node in an array but -will only include nodes which have `Teacher` as one of the occupations. However, filtering -on value edge is not supported. - -### Reverse Edges - -A graph edge is unidirectional. For node-node edges, sometimes modeling requires reverse edges. If only some subject-predicate-object triples have a reverse, these must be manually added. But if a predicate always has a reverse, Dgraph computes the reverse edges if `@reverse` is specified in the schema. - -The reverse edge of `anEdge` is `~anEdge`. - -For existing data, Dgraph computes all reverse edges. For data added after the schema mutation, Dgraph computes and stores the reverse edge for each added triple. - -### Querying Schema - -A schema query queries for the whole schema: - -``` -schema {} -``` - -{{% notice "note" %}} Unlike regular queries, the schema query is not surrounded -by curly braces. Also, schema queries and regular queries cannot be combined. -{{% /notice %}} - -{{% notice "note" %}} If ACL is enabled, then the schema query returns only the predicates for - which the logged-in ACL user has read access. -{{% /notice %}} - -You can query for particular schema fields in the query body. - -``` -schema { - type - index - reverse - tokenizer - list - count - upsert - lang -} -``` - -You can also query for particular predicates: - -``` -schema(pred: [name, friend]) { - type - index - reverse - tokenizer - list - count - upsert - lang -} -``` - -Types can also be queried. Below are some example queries. - -``` -schema(type: Movie) {} -schema(type: [Person, Animal]) {} -``` - -Note that type queries do not contain anything between the curly braces. The -output will be the entire definition of the requested types. - -## Type System - -Dgraph supports a type system that can be used to categorize nodes and query -them based on their type. The type system is also used during expand queries. - -### Type definition - -Types are defined using a GraphQL-like syntax. For example: - -``` -type Student { - name - dob - home_address - year - friends -} -``` - -Types are declared along with the schema using the Alter endpoint. In order to -properly support the above type, a predicate for each of the attributes -in the type is also needed, such as: - -``` -name: string @index(term) . -dob: datetime . -home_address: string . -year: int . -friends: [uid] . -``` - -Reverse predicates can also be included inside a type definition. For example, the type above -could be expanded to include the parent of the student if there's a predicate `children` with -a reverse edge (the brackets around the predicate name are needed to properly understand the -special character `~`). - -``` -children: [uid] @reverse . - -type Student { - name - dob - home_address - year - friends - <~children> -} -``` - -Edges can be used in multiple types: for example, `name` might be used for both -a person and a pet. Sometimes, however, it's required to use a different -predicate for each type to represent a similar concept. For example, if student -names and book names required different indexes, then the predicates must be -different. - -``` -type Student { - student_name -} - -type Textbook { - textbook_name -} - -student_name: string @index(exact) . -textbook_name: string @lang @index(fulltext) . -``` - -Altering the schema for a type that already exists, overwrites the existing -definition. - -### Setting the type of a node - -Scalar nodes cannot have types since they only have one attribute and its type -is the type of the node. UID nodes can have a type. The type is set by setting -the value of the `dgraph.type` predicate for that node. A node can have multiple -types. Here's an example of how to set the types of a node: - -``` -{ - set { - _:a "Garfield" . - _:a "Pet" . - _:a "Animal" . - } -} -``` - -`dgraph.type` is a reserved predicate and cannot be removed or modified. - -### Using types during queries - -Types can be used as a top level function in the query language. For example: - -``` -{ - q(func: type(Animal)) { - uid - name - } -} -``` - -This query will only return nodes whose type is set to `Animal`. - -Types can also be used to filter results inside a query. For example: - -``` -{ - q(func: has(parent)) { - uid - parent @filter(type(Person)) { - uid - name - } - } -} -``` - -This query will return the nodes that have a parent predicate and only the -`parent`'s of type `Person`. - -### Deleting a type - -Type definitions can be deleted using the Alter endpoint. All that is needed is -to send an operation object with the field `DropOp` (or `drop_op` depending on -the client) to the enum value `TYPE` and the field 'DropValue' (or `drop_value`) -to the type that is meant to be deleted. - -Below is an example deleting the type `Person` using the Go client: -```go -err := c.Alter(context.Background(), &api.Operation{ - DropOp: api.Operation_TYPE, - DropValue: "Person"}) -``` - -### Expand queries and types - -Queries using [expand]({{< relref "#expand-predicates" >}}) (i.e.: -`expand(_all_)`) require that the nodes to be expanded have types. - -## Facets : Edge attributes - -Dgraph supports facets --- **key value pairs on edges** --- as an extension to RDF triples. That is, facets add properties to edges, rather than to nodes. -For example, a `friend` edge between two nodes may have a boolean property of `close` friendship. -Facets can also be used as `weights` for edges. - -Though you may find yourself leaning towards facets many times, they should not be misused. It wouldn't be correct modeling to give the `friend` edge a facet `date_of_birth`. That should be an edge for the friend. However, a facet like `start_of_friendship` might be appropriate. Facets are however not first class citizen in Dgraph like predicates. - -Facet keys are strings and values can be `string`, `bool`, `int`, `float` and `dateTime`. -For `int` and `float`, only 32-bit signed integers and 64-bit floats are accepted. - -The following mutation is used throughout this section on facets. The mutation adds data for some peoples and, for example, records a `since` facet in `mobile` and `car` to record when Alice bought the car and started using the mobile number. - -First we add some schema. -```sh -curl localhost:8080/alter -XPOST -d $' - name: string @index(exact, term) . - rated: [uid] @reverse @count . -' | python -m json.tool | less -``` - -```sh -curl -H "Content-Type: application/rdf" localhost:8080/mutate?commitNow=true -XPOST -d $' -{ - set { - - # -- Facets on scalar predicates - _:alice "Alice" . - _:alice "Person" . - _:alice "040123456" (since=2006-01-02T15:04:05) . - _:alice "MA0123" (since=2006-02-02T13:01:09, first=true) . - - _:bob "Bob" . - _:bob "Person" . - _:bob "MA0134" (since=2006-02-02T13:01:09) . - - _:charlie "Charlie" . - _:charlie "Person" . - _:dave "Dave" . - _:dave "Person" . - - - # -- Facets on UID predicates - _:alice _:bob (close=true, relative=false) . - _:alice _:charlie (close=false, relative=true) . - _:alice _:dave (close=true, relative=true) . - - - # -- Facets for variable propagation - _:movie1 "Movie 1" . - _:movie1 "Movie" . - _:movie2 "Movie 2" . - _:movie2 "Movie" . - _:movie3 "Movie 3" . - _:movie3 "Movie" . - - _:alice _:movie1 (rating=3) . - _:alice _:movie2 (rating=2) . - _:alice _:movie3 (rating=5) . - - _:bob _:movie1 (rating=5) . - _:bob _:movie2 (rating=5) . - _:bob _:movie3 (rating=5) . - - _:charlie _:movie1 (rating=2) . - _:charlie _:movie2 (rating=5) . - _:charlie _:movie3 (rating=1) . - } -}' | python -m json.tool | less -``` - -### Facets on scalar predicates - - -Querying `name`, `mobile` and `car` of Alice gives the same result as without facets. - -{{< runnable >}} -{ - data(func: eq(name, "Alice")) { - name - mobile - car - } -} -{{}} - - -The syntax `@facets(facet-name)` is used to query facet data. For Alice the `since` facet for `mobile` and `car` are queried as follows. - -{{< runnable >}} -{ - data(func: eq(name, "Alice")) { - name - mobile @facets(since) - car @facets(since) - } -} -{{}} - - -Facets are returned at the same level as the corresponding edge and have keys like edge|facet. - -All facets on an edge are queried with `@facets`. - -{{< runnable >}} -{ - data(func: eq(name, "Alice")) { - name - mobile @facets - car @facets - } -} -{{}} - -### Facets i18n - -Facets keys and values can use language-specific characters directly when mutating. But facet keys need to be enclosed in angle brackets `<>` when querying. This is similar to predicates. See [Predicates i18n](#predicates-i18n) for more info. - -{{% notice "note" %}}Dgraph supports [Internationalized Resource Identifiers](https://en.wikipedia.org/wiki/Internationalized_Resource_Identifier) (IRIs) for facet keys when querying.{{% /notice %}} - -Example: -``` -{ - set { - _:person1 "Daniel" (वंश="स्पेनी", ancestry="Español") . - _:person1 "Person" . - _:person2 "Raj" (वंश="हिंदी", ancestry="हिंदी") . - _:person2 "Person" . - _:person3 "Zhang Wei" (वंश="चीनी", ancestry="中文") . - _:person3 "Person" . - } -} -``` -Query, notice the `<>`'s: -``` -{ - q(func: has(name)) { - name @facets(<वंश>) - } -} -``` - -### Alias with facets - -Alias can be specified while requesting specific predicates. Syntax is similar to how would request -alias for other predicates. `orderasc` and `orderdesc` are not allowed as alias as they have special -meaning. Apart from that anything else can be set as alias. - -Here we set `car_since`, `close_friend` alias for `since`, `close` facets respectively. -{{< runnable >}} -{ - data(func: eq(name, "Alice")) { - name - mobile - car @facets(car_since: since) - friend @facets(close_friend: close) { - name - } - } -} -{{}} - - - -### Facets on UID predicates - -Facets on UID edges work similarly to facets on value edges. - -For example, `friend` is an edge with facet `close`. -It was set to true for friendship between Alice and Bob -and false for friendship between Alice and Charlie. - -A query for friends of Alice. - -{{< runnable >}} -{ - data(func: eq(name, "Alice")) { - name - friend { - name - } - } -} -{{}} - -A query for friends and the facet `close` with `@facets(close)`. - -{{< runnable >}} -{ - data(func: eq(name, "Alice")) { - name - friend @facets(close) { - name - } - } -} -{{}} - - -For uid edges like `friend`, facets go to the corresponding child under the key edge|facet. In the above -example you can see that the `close` facet on the edge between Alice and Bob appears with the key `friend|close` -along with Bob's results. - -{{< runnable >}} -{ - data(func: eq(name, "Alice")) { - name - friend @facets { - name - car @facets - } - } -} -{{}} - -Bob has a `car` and it has a facet `since`, which, in the results, is part of the same object as Bob -under the key car|since. -Also, the `close` relationship between Bob and Alice is part of Bob's output object. -Charlie does not have `car` edge and thus only UID facets. - -### Filtering on facets - -Dgraph supports filtering edges based on facets. -Filtering works similarly to how it works on edges without facets and has the same available functions. - - -Find Alice's close friends -{{< runnable >}} -{ - data(func: eq(name, "Alice")) { - friend @facets(eq(close, true)) { - name - } - } -} -{{}} - - -To return facets as well as filter, add another `@facets()` to the query. - -{{< runnable >}} -{ - data(func: eq(name, "Alice")) { - friend @facets(eq(close, true)) @facets(relative) { # filter close friends and give relative status - name - } - } -} -{{}} - - -Facet queries can be composed with `AND`, `OR` and `NOT`. - -{{< runnable >}} -{ - data(func: eq(name, "Alice")) { - friend @facets(eq(close, true) AND eq(relative, true)) @facets(relative) { # filter close friends in my relation - name - } - } -} -{{}} - - -### Sorting using facets - -Sorting is possible for a facet on a uid edge. Here we sort the movies rated by Alice, Bob and -Charlie by their `rating` which is a facet. - -{{< runnable >}} -{ - me(func: anyofterms(name, "Alice Bob Charlie")) { - name - rated @facets(orderdesc: rating) { - name - } - } -} -{{}} - - - -### Assigning Facet values to a variable - -Facets on UID edges can be stored in [value variables]({{< relref "#value-variables" >}}). The variable is a map from the edge target to the facet value. - -Alice's friends reported by variables for `close` and `relative`. -{{< runnable >}} -{ - var(func: eq(name, "Alice")) { - friend @facets(a as close, b as relative) - } - - friend(func: uid(a)) { - name - val(a) - } - - relative(func: uid(b)) { - name - val(b) - } -} -{{}} - - -### Facets and Variable Propagation - -Facet values of `int` and `float` can be assigned to variables and thus the [values propagate]({{< relref "#variable-propagation" >}}). - - -Alice, Bob and Charlie each rated every movie. A value variable on facet `rating` maps movies to ratings. A query that reaches a movie through multiple paths sums the ratings on each path. The following sums Alice, Bob and Charlie's ratings for the three movies. - -{{}} -{ - var(func: anyofterms(name, "Alice Bob Charlie")) { - num_raters as math(1) - rated @facets(r as rating) { - total_rating as math(r) # sum of the 3 ratings - average_rating as math(total_rating / num_raters) - } - } - data(func: uid(total_rating)) { - name - val(total_rating) - val(average_rating) - } - -} -{{}} - - - -### Facets and Aggregation - -Facet values assigned to value variables can be aggregated. - -{{< runnable >}} -{ - data(func: eq(name, "Alice")) { - name - rated @facets(r as rating) { - name - } - avg(val(r)) - } -} -{{}} - - -Note though that `r` is a map from movies to the sum of ratings on edges in the query reaching the movie. Hence, the following does not correctly calculate the average ratings for Alice and Bob individually --- it calculates 2 times the average of both Alice and Bob's ratings. - -{{< runnable >}} - -{ - data(func: anyofterms(name, "Alice Bob")) { - name - rated @facets(r as rating) { - name - } - avg(val(r)) - } -} -{{}} - -Calculating the average ratings of users requires a variable that maps users to the sum of their ratings. - -{{< runnable >}} - -{ - var(func: has(rated)) { - num_rated as math(1) - rated @facets(r as rating) { - avg_rating as math(r / num_rated) - } - } - - data(func: uid(avg_rating)) { - name - val(avg_rating) - } -} -{{}} - -## Shortest Path Queries - -The shortest path between a source (`from`) node and destination (`to`) node can be found using the keyword `shortest` for the query block name. It requires the source node UID, destination node UID and the predicates (at least one) that have to be considered for traversal. A `shortest` query block returns the shortest path under `_path_` in the query response. The path can also be stored in a variable which is used in other query blocks. - -**K-Shortest Path queries:** By default the shortest path is returned. With `numpaths: k`, and `k > 1`, the k-shortest paths are returned. Cyclical paths are pruned out from the result of k-shortest path query. With `depth: n`, the paths up to `n` depth away are returned. - -{{% notice "note" %}} -- If no predicates are specified in the `shortest` block, no path can be fetched as no edge is traversed. -- If you're seeing queries take a long time, you can set a [gRPC deadline](https://grpc.io/blog/deadlines) to stop the query after a certain amount of time. -{{% /notice %}} - -For example: - -```sh -curl localhost:8080/alter -XPOST -d $' - name: string @index(exact) . -' | python -m json.tool | less -``` - -```sh -curl -H "Content-Type: application/rdf" localhost:8080/mutate?commitNow=true -XPOST -d $' -{ - set { - _:a _:b (weight=0.1) . - _:b _:c (weight=0.2) . - _:c _:d (weight=0.3) . - _:a _:d (weight=1) . - _:a "Alice" . - _:a "Person" . - _:b "Bob" . - _:b "Person" . - _:c "Tom" . - _:c "Person" . - _:d "Mallory" . - _:d "Person" . - } -}' | python -m json.tool | less -``` - -The shortest path between Alice and Mallory (assuming UIDs 0x2 and 0x5 respectively) can be found with query: - -```sh -curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $'{ - path as shortest(from: 0x2, to: 0x5) { - friend - } - path(func: uid(path)) { - name - } -}' | python -m json.tool | less -``` - -Which returns the following results. (Note, without considering the `weight` facet, each edges' weight is considered as 1) - -``` -{ - "data": { - "path": [ - { - "name": "Alice" - }, - { - "name": "Mallory" - } - ], - "_path_": [ - { - "uid": "0x2", - "friend": [ - { - "uid": "0x5" - } - ] - } - ] - } -} -``` - -We can return more paths by specifying `numpaths`. Setting `numpaths: 2` returns the shortest two paths: - -```sh -curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $'{ - - A as var(func: eq(name, "Alice")) - M as var(func: eq(name, "Mallory")) - - path as shortest(from: uid(A), to: uid(M), numpaths: 2) { - friend - } - path(func: uid(path)) { - name - } -}' | python -m json.tool | less -``` - -{{% notice "note" %}}In the query above, instead of using UID literals, we query both people using var blocks and the `uid()` function. You can also combine it with [GraphQL Variables]({{< relref "#graphql-variables" >}}).{{% /notice %}} - -Edges weights are included by using facets on the edges as follows. - -{{% notice "note" %}}Only one facet per predicate is allowed in the shortest query block.{{% /notice %}} - -```sh -curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $'{ - path as shortest(from: 0x2, to: 0x5) { - friend @facets(weight) - } - - path(func: uid(path)) { - name - } -}' | python -m json.tool | less -``` - -``` -{ - "data": { - "path": [ - { - "name": "Alice" - }, - { - "name": "Bob" - }, - { - "name": "Tom" - }, - { - "name": "Mallory" - } - ], - "_path_": [ - { - "uid": "0x2", - "friend": [ - { - "uid": "0x3", - "friend|weight": 0.1, - "friend": [ - { - "uid": "0x4", - "friend|weight": 0.2, - "friend": [ - { - "uid": "0x5", - "friend|weight": 0.3 - } - ] - } - ] - } - ] - } - ] - } -} -``` - -Constraints can be applied to the intermediate nodes as follows. - -```sh -curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $'{ - path as shortest(from: 0x2, to: 0x5) { - friend @filter(not eq(name, "Bob")) @facets(weight) - relative @facets(liking) - } - - relationship(func: uid(path)) { - name - } -}' | python -m json.tool | less -``` - -The k-shortest path algorithm (used when `numpaths` > 1) also accepts the arguments `minweight` and `maxweight`, which take a float as their value. When they are passed, only paths within the weight range `[minweight, maxweight]` will be considered as valid paths. This can be used, for example, to query the shortest paths that traverse between 2 and 4 nodes. - -```sh -curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $'{ - path as shortest(from: 0x2, to: 0x5, numpaths: 2, minweight: 2, maxweight: 4) { - friend - } - path(func: uid(path)) { - name - } -}' | python -m json.tool | less -``` - -Some points to keep in mind for shortest path queries: - -- Weights must be non-negative. Dijkstra's algorithm is used to calculate the shortest paths. -- Only one facet per predicate in the shortest query block is allowed. -- Only one `shortest` path block is allowed per query. Only one `_path_` is returned in the result. For queries with `numpaths` > 1, `_path_` contains all the paths. -- Cyclical paths are not included in the result of k-shortest path query. -- For k-shortest paths (when `numpaths` > 1), the result of the shortest path query variable will only return a single path which will be the shortest path among the k paths. All k paths are returned in `_path_`. - -## Recurse Query - -`Recurse` queries let you traverse a set of predicates (with filter, facets, etc.) until we reach all leaf nodes or we reach the maximum depth which is specified by the `depth` parameter. - -To get 10 movies from a genre that has more than 30000 films and then get two actors for those movies we'd do something as follows: -{{< runnable >}} -{ - me(func: gt(count(~genre), 30000), first: 1) @recurse(depth: 5, loop: true) { - name@en - ~genre (first:10) @filter(gt(count(starring), 2)) - starring (first: 2) - performance.actor - } -} -{{< /runnable >}} -Some points to keep in mind while using recurse queries are: - -- You can specify only one level of predicates after root. These would be traversed recursively. Both scalar and entity-nodes are treated similarly. -- Only one recurse block is advised per query. -- Be careful as the result size could explode quickly and an error would be returned if the result set gets too large. In such cases use more filters, limit results using pagination, or provide a depth parameter at root as shown in the example above. -- The `loop` parameter can be set to false, in which case paths which lead to a loop would be ignored - while traversing. -- If not specified, the value of the `loop` parameter defaults to false. -- If the value of the `loop` parameter is false and depth is not specified, `depth` will default to `math.MaxUint64`, which means that the entire graph might be traversed until all the leaf nodes are reached. - - -## Fragments - -`fragment` keyword allows you to define new fragments that can be referenced in a query, as per [GraphQL specification](https://facebook.github.io/graphql/#sec-Language.Fragments). The point is that if there are multiple parts which query the same set of fields, you can define a fragment and refer to it multiple times instead. Fragments can be nested inside fragments, but no cycles are allowed. Here is one contrived example. - -```sh -curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $' -query { - debug(func: uid(1)) { - name@en - ...TestFrag - } -} -fragment TestFrag { - initial_release_date - ...TestFragB -} -fragment TestFragB { - country -}' | python -m json.tool | less -``` - -## GraphQL Variables - -`Variables` can be defined and used in queries which helps in query reuse and avoids costly string building in clients at runtime by passing a separate variable map. A variable starts with a `$` symbol. -For **HTTP requests** with GraphQL Variables, we must use `Content-Type: application/json` header and pass data with a JSON object containing `query` and `variables`. - -```sh -curl -H "Content-Type: application/json" localhost:8080/query -XPOST -d $'{ - "query": "query test($a: string) { test(func: eq(name, $a)) { \n uid \n name \n } }", - "variables": { "$a": "Alice" } -}' | python -m json.tool | less -``` - -{{< runnable vars="{\"$a\": \"5\", \"$b\": \"10\", \"$name\": \"Steven Spielberg\"}" >}} -query test($a: int, $b: int, $name: string) { - me(func: allofterms(name@en, $name)) { - name@en - director.film (first: $a, offset: $b) { - name @en - genre(first: $a) { - name@en - } - } - } -} -{{< /runnable >}} - -* Variables can have default values. In the example below, `$a` has a default value of `2`. Since the value for `$a` isn't provided in the variable map, `$a` takes on the default value. -* Variables whose type is suffixed with a `!` can't have a default value but must have a value as part of the variables map. -* The value of the variable must be parsable to the given type, if not, an error is thrown. -* The variable types that are supported as of now are: `int`, `float`, `bool` and `string`. -* Any variable that is being used must be declared in the named query clause in the beginning. - -{{< runnable vars="{\"$b\": \"10\", \"$name\": \"Steven Spielberg\"}" >}} -query test($a: int = 2, $b: int!, $name: string) { - me(func: allofterms(name@en, $name)) { - director.film (first: $a, offset: $b) { - genre(first: $a) { - name@en - } - } - } -} -{{< /runnable >}} - -You can also use array with GraphQL Variables. - -{{< runnable vars="{\"$b\": \"10\", \"$aName\": \"Steven Spielberg\", \"$bName\": \"Quentin Tarantino\"}" >}} -query test($a: int = 2, $b: int!, $aName: string, $bName: string) { - me(func: eq(name@en, [$aName, $bName])) { - director.film (first: $a, offset: $b) { - genre(first: $a) { - name@en - } - } - } -} -{{< /runnable >}} - -We also support variable substituion in facets now. -{{< runnable vars="{\"$name\": \"Alice\"}" >}} -query test($name: string = "Alice") { - data(func: eq(name, $name)) { - friend @facets(eq(close, true)) { - name - } - } -} -{{}} - -{{% notice "note" %}} -If you want to input a list of uids as a GraphQL variable value, you can have the variable as string type and -have the value surrounded by square brackets like `["13", "14"]`. -{{% /notice %}} - -## Indexing with Custom Tokenizers - -Dgraph comes with a large toolkit of builtin indexes, but sometimes for niche -use cases they're not always enough. - -Dgraph allows you to implement custom tokenizers via a plugin system in order -to fill the gaps. - -### Caveats - -The plugin system uses Go's [`pkg/plugin`](https://golang.org/pkg/plugin/). -This brings some restrictions to how plugins can be used. - -- Plugins must be written in Go. - -- As of Go 1.9, `pkg/plugin` only works on Linux. Therefore, plugins will only - work on Dgraph instances deployed in a Linux environment. - -- The version of Go used to compile the plugin should be the same as the version - of Go used to compile Dgraph itself. Dgraph always uses the latest version of -Go (and so should you!). - -### Implementing a plugin - -{{% notice "note" %}} -You should consider Go's [plugin](https://golang.org/pkg/plugin/) documentation -to be supplementary to the documentation provided here. -{{% /notice %}} - -Plugins are implemented as their own main package. They must export a -particular symbol that allows Dgraph to hook into the custom logic the plugin -provides. - -The plugin must export a symbol named `Tokenizer`. The type of the symbol must -be `func() interface{}`. When the function is called the result returned should -be a value that implements the following interface: - -``` -type PluginTokenizer interface { - // Name is the name of the tokenizer. It should be unique among all - // builtin tokenizers and other custom tokenizers. It identifies the - // tokenizer when an index is set in the schema and when search/filter - // is used in queries. - Name() string - - // Identifier is a byte that uniquely identifiers the tokenizer. - // Bytes in the range 0x80 to 0xff (inclusive) are reserved for - // custom tokenizers. - Identifier() byte - - // Type is a string representing the type of data that is to be - // tokenized. This must match the schema type of the predicate - // being indexed. Allowable values are shown in the table below. - Type() string - - // Tokens should implement the tokenization logic. The input is - // the value to be tokenized, and will always have a concrete type - // corresponding to Type(). The return value should be a list of - // the tokens generated. - Tokens(interface{}) ([]string, error) -} -``` - -The return value of `Type()` corresponds to the concrete input type of -`Tokens(interface{})` in the following way: - - `Type()` return value | `Tokens(interface{})` input type ------------------------|---------------------------------- - `"int"` | `int64` - `"float"` | `float64` - `"string"` | `string` - `"bool"` | `bool` - `"datetime"` | `time.Time` - -### Building the plugin - -The plugin has to be built using the `plugin` build mode so that an `.so` file -is produced instead of a regular executable. For example: - -```sh -go build -buildmode=plugin -o myplugin.so ~/go/src/myplugin/main.go -``` - -### Running Dgraph with plugins - -When starting Dgraph, use the `--custom_tokenizers` flag to tell Dgraph which -tokenizers to load. It accepts a comma separated list of plugins. E.g. - -```sh -dgraph ...other-args... --custom_tokenizers=plugin1.so,plugin2.so -``` - -{{% notice "note" %}} -Plugin validation is performed on startup. If a problem is detected, Dgraph -will refuse to initialise. -{{% /notice %}} - -### Adding the index to the schema - -To use a tokenization plugin, an index has to be created in the schema. - -The syntax is the same as adding any built-in index. To add an custom index -using a tokenizer plugin named `foo` to a `string` predicate named -`my_predicate`, use the following in the schema: - -```sh -my_predicate: string @index(foo) . -``` - -### Using the index in queries - -There are two functions that can use custom indexes: - - Mode | Behaviour ---------|------- - `anyof` | Returns nodes that match on *any* of the tokens generated - `allof` | Returns nodes that match on *all* of the tokens generated - -The functions can be used either at the query root or in filters. - -There behaviour here an analogous to `anyofterms`/`allofterms` and -`anyoftext`/`alloftext`. - -### Examples - -The following examples should make the process of writing a tokenization plugin -more concrete. - -#### Unicode Characters - -This example shows the type of tokenization that is similar to term -tokenization of full-text search. Instead of being broken down into terms or -stem words, the text is instead broken down into its constituent unicode -codepoints (in Go terminology these are called *runes*). - -{{% notice "note" %}} -This tokenizer would create a very large index that would be expensive to -manage and store. That's one of the reasons that text indexing usually occurs -at a higher level; stem words for full-text search or terms for term search. -{{% /notice %}} - -The implementation of the plugin looks like this: - -```go -package main - -import "encoding/binary" - -func Tokenizer() interface{} { return RuneTokenizer{} } - -type RuneTokenizer struct{} - -func (RuneTokenizer) Name() string { return "rune" } -func (RuneTokenizer) Type() string { return "string" } -func (RuneTokenizer) Identifier() byte { return 0xfd } - -func (t RuneTokenizer) Tokens(value interface{}) ([]string, error) { - var toks []string - for _, r := range value.(string) { - var buf [binary.MaxVarintLen32]byte - n := binary.PutVarint(buf[:], int64(r)) - tok := string(buf[:n]) - toks = append(toks, tok) - } - return toks, nil -} -``` - -**Hints and tips:** - -- Inside `Tokens`, you can assume that `value` will have concrete type - corresponding to that specified by `Type()`. It's safe to do a type -assertion. - -- Even though the return value is `[]string`, you can always store non-unicode - data inside the string. See [this blogpost](https://blog.golang.org/strings) -for some interesting background how string are implemented in Go and why they -can be used to store non-textual data. By storing arbitrary data in the string, -you can make the index more compact. In this case, varints are stored in the -return values. - -Setting up the indexing and adding data: -``` -name: string @index(rune) . -``` - - -``` -{ - set{ - _:ad "Adam" . - _:ad "Person" . - _:aa "Aaron" . - _:aa "Person" . - _:am "Amy" . - _:am "Person" . - _:ro "Ronald" . - _:ro "Person" . - } -} -``` -Now queries can be performed. - -The only person that has all of the runes `A` and `n` in their `name` is Aaron: -``` -{ - q(func: allof(name, rune, "An")) { - name - } -} -=> -{ - "data": { - "q": [ - { "name": "Aaron" } - ] - } -} -``` -But there are multiple people who have both of the runes `A` and `m`: -``` -{ - q(func: allof(name, rune, "Am")) { - name - } -} -=> -{ - "data": { - "q": [ - { "name": "Amy" }, - { "name": "Adam" } - ] - } -} -``` -Case is taken into account, so if you search for all names containing `"ron"`, -you would find `"Aaron"`, but not `"Ronald"`. But if you were to search for -`"no"`, you would match both `"Aaron"` and `"Ronald"`. The order of the runes in -the strings doesn't matter. - -It's possible to search for people that have *any* of the supplied runes in -their names (rather than *all* of the supplied runes). To do this, use `anyof` -instead of `allof`: -``` -{ - q(func: anyof(name, rune, "mr")) { - name - } -} -=> -{ - "data": { - "q": [ - { "name": "Adam" }, - { "name": "Aaron" }, - { "name": "Amy" } - ] - } -} -``` -`"Ronald"` doesn't contain `m` or `r`, so isn't found by the search. - -{{% notice "note" %}} -Understanding what's going on under the hood can help you intuitively -understand how `Tokens` method should be implemented. - -When Dgraph sees new edges that are to be indexed by your tokenizer, it -will tokenize the value. The resultant tokens are used as keys for posting -lists. The edge subject is then added to the posting list for each token. - -When a query root search occurs, the search value is tokenized. The result of -the search is all of the nodes in the union or intersection of the corresponding -posting lists (depending on whether `anyof` or `allof` was used). -{{% /notice %}} - -#### CIDR Range - -Tokenizers don't always have to be about splitting text up into its constituent -parts. This example indexes [IP addresses into their CIDR -ranges](https://en.wikipedia.org/wiki/Classless_Inter-Domain_Routing). This -allows you to search for all IP addresses that fall into a particular CIDR -range. - -The plugin code is more complicated than the rune example. The input is an IP -address stored as a string, e.g. `"100.55.22.11/32"`. The output are the CIDR -ranges that the IP address could possibly fall into. There could be up to 32 -different outputs (`"100.55.22.11/32"` does indeed have 32 possible ranges, one -for each mask size). - -```go -package main - -import "net" - -func Tokenizer() interface{} { return CIDRTokenizer{} } - -type CIDRTokenizer struct{} - -func (CIDRTokenizer) Name() string { return "cidr" } -func (CIDRTokenizer) Type() string { return "string" } -func (CIDRTokenizer) Identifier() byte { return 0xff } - -func (t CIDRTokenizer) Tokens(value interface{}) ([]string, error) { - _, ipnet, err := net.ParseCIDR(value.(string)) - if err != nil { - return nil, err - } - ones, bits := ipnet.Mask.Size() - var toks []string - for i := ones; i >= 1; i-- { - m := net.CIDRMask(i, bits) - tok := net.IPNet{ - IP: ipnet.IP.Mask(m), - Mask: m, - } - toks = append(toks, tok.String()) - } - return toks, nil -} -``` -An example of using the tokenizer: - -Setting up the indexing and adding data: -``` -ip: string @index(cidr) . - -``` - -``` -{ - set{ - _:a "100.55.22.11/32" . - _:b "100.33.81.19/32" . - _:c "100.49.21.25/32" . - _:d "101.0.0.5/32" . - _:e "100.176.2.1/32" . - } -} -``` -``` -{ - q(func: allof(ip, cidr, "100.48.0.0/12")) { - ip - } -} -=> -{ - "data": { - "q": [ - { "ip": "100.55.22.11/32" }, - { "ip": "100.49.21.25/32" } - ] - } -} -``` -The CIDR ranges of `100.55.22.11/32` and `100.49.21.25/32` are both -`100.48.0.0/12`. The other IP addresses in the database aren't included in the -search result, since they have different CIDR ranges for 12 bit masks -(`100.32.0.0/12`, `101.0.0.0/12`, `100.154.0.0/12` for `100.33.81.19/32`, -`101.0.0.5/32`, and `100.176.2.1/32` respectively). - -Note that we're using `allof` instead of `anyof`. Only `allof` will work -correctly with this index. Remember that the tokenizer generates all possible -CIDR ranges for an IP address. If we were to use `anyof` then the search result -would include all IP addresses under the 1 bit mask (in this case, `0.0.0.0/1`, -which would match all IPs in this dataset). - -#### Anagram - -Tokenizers don't always have to return multiple tokens. If you just want to -index data into groups, have the tokenizer just return an identifying member of -that group. - -In this example, we want to find groups of words that are -[anagrams](https://en.wikipedia.org/wiki/Anagram) of each -other. - -A token to correspond to a group of anagrams could just be the letters in the -anagram in sorted order, as implemented below: - -```go -package main - -import "sort" - -func Tokenizer() interface{} { return AnagramTokenizer{} } - -type AnagramTokenizer struct{} - -func (AnagramTokenizer) Name() string { return "anagram" } -func (AnagramTokenizer) Type() string { return "string" } -func (AnagramTokenizer) Identifier() byte { return 0xfc } - -func (t AnagramTokenizer) Tokens(value interface{}) ([]string, error) { - b := []byte(value.(string)) - sort.Slice(b, func(i, j int) bool { return b[i] < b[j] }) - return []string{string(b)}, nil -} -``` -In action: - -Setting up the indexing and adding data: -``` -word: string @index(anagram) . -``` - -``` -{ - set{ - _:1 "airmen" . - _:2 "marine" . - _:3 "beat" . - _:4 "beta" . - _:5 "race" . - _:6 "care" . - } -} -``` -``` -{ - q(func: allof(word, anagram, "remain")) { - word - } -} -=> -{ - "data": { - "q": [ - { "word": "airmen" }, - { "word": "marine" } - ] - } -} -``` - -Since a single token is only ever generated, it doesn't matter if `anyof` or -`allof` is used. The result will always be the same. - -#### Integer prime factors - -All of the custom tokenizers shown previously have worked with strings. -However, other data types can be used as well. This example is contrived, but -nonetheless shows some advanced usages of custom tokenizers. - -The tokenizer creates a token for each prime factor in the input. - -``` -package main - -import ( - "encoding/binary" - "fmt" -) - -func Tokenizer() interface{} { return FactorTokenizer{} } - -type FactorTokenizer struct{} - -func (FactorTokenizer) Name() string { return "factor" } -func (FactorTokenizer) Type() string { return "int" } -func (FactorTokenizer) Identifier() byte { return 0xfe } - -func (FactorTokenizer) Tokens(value interface{}) ([]string, error) { - x := value.(int64) - if x <= 1 { - return nil, fmt.Errorf("Cannot factor int <= 1: %d", x) - } - var toks []string - for p := int64(2); x > 1; p++ { - if x%p == 0 { - toks = append(toks, encodeInt(p)) - for x%p == 0 { - x /= p - } - } - } - return toks, nil - -} - -func encodeInt(x int64) string { - var buf [binary.MaxVarintLen64]byte - n := binary.PutVarint(buf[:], x) - return string(buf[:n]) -} -``` -{{% notice "note" %}} -Notice that the return of `Type()` is `"int"`, corresponding to the concrete -type of the input to `Tokens` (which is `int64`). -{{% /notice %}} - -This allows you do things like search for all numbers that share prime -factors with a particular number. - -In particular, we search for numbers that contain any of the prime factors of -15, i.e. any numbers that are divisible by either 3 or 5. - -Setting up the indexing and adding data: -``` -num: int @index(factor) . -``` - -``` -{ - set{ - _:2 "2"^^ . - _:3 "3"^^ . - _:4 "4"^^ . - _:5 "5"^^ . - _:6 "6"^^ . - _:7 "7"^^ . - _:8 "8"^^ . - _:9 "9"^^ . - _:10 "10"^^ . - _:11 "11"^^ . - _:12 "12"^^ . - _:13 "13"^^ . - _:14 "14"^^ . - _:15 "15"^^ . - _:16 "16"^^ . - _:17 "17"^^ . - _:18 "18"^^ . - _:19 "19"^^ . - _:20 "20"^^ . - _:21 "21"^^ . - _:22 "22"^^ . - _:23 "23"^^ . - _:24 "24"^^ . - _:25 "25"^^ . - _:26 "26"^^ . - _:27 "27"^^ . - _:28 "28"^^ . - _:29 "29"^^ . - _:30 "30"^^ . - } -} -``` -``` -{ - q(func: anyof(num, factor, 15)) { - num - } -} -=> -{ - "data": { - "q": [ - { "num": 3 }, - { "num": 5 }, - { "num": 6 }, - { "num": 9 }, - { "num": 10 }, - { "num": 12 }, - { "num": 15 }, - { "num": 18 } - { "num": 20 }, - { "num": 21 }, - { "num": 25 }, - { "num": 24 }, - { "num": 27 }, - { "num": 30 }, - ] - } -} -``` diff --git a/wiki/content/query-language/indexing-custom-tokenizers.md b/wiki/content/query-language/indexing-custom-tokenizers.md new file mode 100644 index 00000000000..0bef4a6badd --- /dev/null +++ b/wiki/content/query-language/indexing-custom-tokenizers.md @@ -0,0 +1,572 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Indexing with Custom Tokenizers" +[menu.main] + parent = "query-language" + weight = 27 ++++ + +Dgraph comes with a large toolkit of builtin indexes, but sometimes for niche +use cases they're not always enough. + +Dgraph allows you to implement custom tokenizers via a plugin system in order +to fill the gaps. + +## Caveats + +The plugin system uses Go's [`pkg/plugin`](https://golang.org/pkg/plugin/). +This brings some restrictions to how plugins can be used. + +- Plugins must be written in Go. + +- As of Go 1.9, `pkg/plugin` only works on Linux. Therefore, plugins will only + work on Dgraph instances deployed in a Linux environment. + +- The version of Go used to compile the plugin should be the same as the version + of Go used to compile Dgraph itself. Dgraph always uses the latest version of +Go (and so should you!). + +## Implementing a plugin + +{{% notice "note" %}} +You should consider Go's [plugin](https://golang.org/pkg/plugin/) documentation +to be supplementary to the documentation provided here. +{{% /notice %}} + +Plugins are implemented as their own main package. They must export a +particular symbol that allows Dgraph to hook into the custom logic the plugin +provides. + +The plugin must export a symbol named `Tokenizer`. The type of the symbol must +be `func() interface{}`. When the function is called the result returned should +be a value that implements the following interface: + +``` +type PluginTokenizer interface { + // Name is the name of the tokenizer. It should be unique among all + // builtin tokenizers and other custom tokenizers. It identifies the + // tokenizer when an index is set in the schema and when search/filter + // is used in queries. + Name() string + + // Identifier is a byte that uniquely identifiers the tokenizer. + // Bytes in the range 0x80 to 0xff (inclusive) are reserved for + // custom tokenizers. + Identifier() byte + + // Type is a string representing the type of data that is to be + // tokenized. This must match the schema type of the predicate + // being indexed. Allowable values are shown in the table below. + Type() string + + // Tokens should implement the tokenization logic. The input is + // the value to be tokenized, and will always have a concrete type + // corresponding to Type(). The return value should be a list of + // the tokens generated. + Tokens(interface{}) ([]string, error) +} +``` + +The return value of `Type()` corresponds to the concrete input type of +`Tokens(interface{})` in the following way: + + `Type()` return value | `Tokens(interface{})` input type +-----------------------|---------------------------------- + `"int"` | `int64` + `"float"` | `float64` + `"string"` | `string` + `"bool"` | `bool` + `"datetime"` | `time.Time` + +## Building the plugin + +The plugin has to be built using the `plugin` build mode so that an `.so` file +is produced instead of a regular executable. For example: + +```sh +go build -buildmode=plugin -o myplugin.so ~/go/src/myplugin/main.go +``` + +## Running Dgraph with plugins + +When starting Dgraph, use the `--custom_tokenizers` flag to tell Dgraph which +tokenizers to load. It accepts a comma separated list of plugins. E.g. + +```sh +dgraph ...other-args... --custom_tokenizers=plugin1.so,plugin2.so +``` + +{{% notice "note" %}} +Plugin validation is performed on startup. If a problem is detected, Dgraph +will refuse to initialise. +{{% /notice %}} + +## Adding the index to the schema + +To use a tokenization plugin, an index has to be created in the schema. + +The syntax is the same as adding any built-in index. To add an custom index +using a tokenizer plugin named `foo` to a `string` predicate named +`my_predicate`, use the following in the schema: + +```sh +my_predicate: string @index(foo) . +``` + +## Using the index in queries + +There are two functions that can use custom indexes: + + Mode | Behaviour +--------|------- + `anyof` | Returns nodes that match on *any* of the tokens generated + `allof` | Returns nodes that match on *all* of the tokens generated + +The functions can be used either at the query root or in filters. + +There behaviour here an analogous to `anyofterms`/`allofterms` and +`anyoftext`/`alloftext`. + +## Examples + +The following examples should make the process of writing a tokenization plugin +more concrete. + +### Unicode Characters + +This example shows the type of tokenization that is similar to term +tokenization of full-text search. Instead of being broken down into terms or +stem words, the text is instead broken down into its constituent unicode +codepoints (in Go terminology these are called *runes*). + +{{% notice "note" %}} +This tokenizer would create a very large index that would be expensive to +manage and store. That's one of the reasons that text indexing usually occurs +at a higher level; stem words for full-text search or terms for term search. +{{% /notice %}} + +The implementation of the plugin looks like this: + +```go +package main + +import "encoding/binary" + +func Tokenizer() interface{} { return RuneTokenizer{} } + +type RuneTokenizer struct{} + +func (RuneTokenizer) Name() string { return "rune" } +func (RuneTokenizer) Type() string { return "string" } +func (RuneTokenizer) Identifier() byte { return 0xfd } + +func (t RuneTokenizer) Tokens(value interface{}) ([]string, error) { + var toks []string + for _, r := range value.(string) { + var buf [binary.MaxVarintLen32]byte + n := binary.PutVarint(buf[:], int64(r)) + tok := string(buf[:n]) + toks = append(toks, tok) + } + return toks, nil +} +``` + +**Hints and tips:** + +- Inside `Tokens`, you can assume that `value` will have concrete type + corresponding to that specified by `Type()`. It's safe to do a type +assertion. + +- Even though the return value is `[]string`, you can always store non-unicode + data inside the string. See [this blogpost](https://blog.golang.org/strings) +for some interesting background how string are implemented in Go and why they +can be used to store non-textual data. By storing arbitrary data in the string, +you can make the index more compact. In this case, varints are stored in the +return values. + +Setting up the indexing and adding data: +``` +name: string @index(rune) . +``` + + +``` +{ + set{ + _:ad "Adam" . + _:ad "Person" . + _:aa "Aaron" . + _:aa "Person" . + _:am "Amy" . + _:am "Person" . + _:ro "Ronald" . + _:ro "Person" . + } +} +``` +Now queries can be performed. + +The only person that has all of the runes `A` and `n` in their `name` is Aaron: +``` +{ + q(func: allof(name, rune, "An")) { + name + } +} +=> +{ + "data": { + "q": [ + { "name": "Aaron" } + ] + } +} +``` +But there are multiple people who have both of the runes `A` and `m`: +``` +{ + q(func: allof(name, rune, "Am")) { + name + } +} +=> +{ + "data": { + "q": [ + { "name": "Amy" }, + { "name": "Adam" } + ] + } +} +``` +Case is taken into account, so if you search for all names containing `"ron"`, +you would find `"Aaron"`, but not `"Ronald"`. But if you were to search for +`"no"`, you would match both `"Aaron"` and `"Ronald"`. The order of the runes in +the strings doesn't matter. + +It's possible to search for people that have *any* of the supplied runes in +their names (rather than *all* of the supplied runes). To do this, use `anyof` +instead of `allof`: +``` +{ + q(func: anyof(name, rune, "mr")) { + name + } +} +=> +{ + "data": { + "q": [ + { "name": "Adam" }, + { "name": "Aaron" }, + { "name": "Amy" } + ] + } +} +``` +`"Ronald"` doesn't contain `m` or `r`, so isn't found by the search. + +{{% notice "note" %}} +Understanding what's going on under the hood can help you intuitively +understand how `Tokens` method should be implemented. + +When Dgraph sees new edges that are to be indexed by your tokenizer, it +will tokenize the value. The resultant tokens are used as keys for posting +lists. The edge subject is then added to the posting list for each token. + +When a query root search occurs, the search value is tokenized. The result of +the search is all of the nodes in the union or intersection of the corresponding +posting lists (depending on whether `anyof` or `allof` was used). +{{% /notice %}} + +### CIDR Range + +Tokenizers don't always have to be about splitting text up into its constituent +parts. This example indexes [IP addresses into their CIDR +ranges](https://en.wikipedia.org/wiki/Classless_Inter-Domain_Routing). This +allows you to search for all IP addresses that fall into a particular CIDR +range. + +The plugin code is more complicated than the rune example. The input is an IP +address stored as a string, e.g. `"100.55.22.11/32"`. The output are the CIDR +ranges that the IP address could possibly fall into. There could be up to 32 +different outputs (`"100.55.22.11/32"` does indeed have 32 possible ranges, one +for each mask size). + +```go +package main + +import "net" + +func Tokenizer() interface{} { return CIDRTokenizer{} } + +type CIDRTokenizer struct{} + +func (CIDRTokenizer) Name() string { return "cidr" } +func (CIDRTokenizer) Type() string { return "string" } +func (CIDRTokenizer) Identifier() byte { return 0xff } + +func (t CIDRTokenizer) Tokens(value interface{}) ([]string, error) { + _, ipnet, err := net.ParseCIDR(value.(string)) + if err != nil { + return nil, err + } + ones, bits := ipnet.Mask.Size() + var toks []string + for i := ones; i >= 1; i-- { + m := net.CIDRMask(i, bits) + tok := net.IPNet{ + IP: ipnet.IP.Mask(m), + Mask: m, + } + toks = append(toks, tok.String()) + } + return toks, nil +} +``` +An example of using the tokenizer: + +Setting up the indexing and adding data: +``` +ip: string @index(cidr) . + +``` + +``` +{ + set{ + _:a "100.55.22.11/32" . + _:b "100.33.81.19/32" . + _:c "100.49.21.25/32" . + _:d "101.0.0.5/32" . + _:e "100.176.2.1/32" . + } +} +``` +``` +{ + q(func: allof(ip, cidr, "100.48.0.0/12")) { + ip + } +} +=> +{ + "data": { + "q": [ + { "ip": "100.55.22.11/32" }, + { "ip": "100.49.21.25/32" } + ] + } +} +``` +The CIDR ranges of `100.55.22.11/32` and `100.49.21.25/32` are both +`100.48.0.0/12`. The other IP addresses in the database aren't included in the +search result, since they have different CIDR ranges for 12 bit masks +(`100.32.0.0/12`, `101.0.0.0/12`, `100.154.0.0/12` for `100.33.81.19/32`, +`101.0.0.5/32`, and `100.176.2.1/32` respectively). + +Note that we're using `allof` instead of `anyof`. Only `allof` will work +correctly with this index. Remember that the tokenizer generates all possible +CIDR ranges for an IP address. If we were to use `anyof` then the search result +would include all IP addresses under the 1 bit mask (in this case, `0.0.0.0/1`, +which would match all IPs in this dataset). + +### Anagram + +Tokenizers don't always have to return multiple tokens. If you just want to +index data into groups, have the tokenizer just return an identifying member of +that group. + +In this example, we want to find groups of words that are +[anagrams](https://en.wikipedia.org/wiki/Anagram) of each +other. + +A token to correspond to a group of anagrams could just be the letters in the +anagram in sorted order, as implemented below: + +```go +package main + +import "sort" + +func Tokenizer() interface{} { return AnagramTokenizer{} } + +type AnagramTokenizer struct{} + +func (AnagramTokenizer) Name() string { return "anagram" } +func (AnagramTokenizer) Type() string { return "string" } +func (AnagramTokenizer) Identifier() byte { return 0xfc } + +func (t AnagramTokenizer) Tokens(value interface{}) ([]string, error) { + b := []byte(value.(string)) + sort.Slice(b, func(i, j int) bool { return b[i] < b[j] }) + return []string{string(b)}, nil +} +``` +In action: + +Setting up the indexing and adding data: +``` +word: string @index(anagram) . +``` + +``` +{ + set{ + _:1 "airmen" . + _:2 "marine" . + _:3 "beat" . + _:4 "beta" . + _:5 "race" . + _:6 "care" . + } +} +``` +``` +{ + q(func: allof(word, anagram, "remain")) { + word + } +} +=> +{ + "data": { + "q": [ + { "word": "airmen" }, + { "word": "marine" } + ] + } +} +``` + +Since a single token is only ever generated, it doesn't matter if `anyof` or +`allof` is used. The result will always be the same. + +### Integer prime factors + +All of the custom tokenizers shown previously have worked with strings. +However, other data types can be used as well. This example is contrived, but +nonetheless shows some advanced usages of custom tokenizers. + +The tokenizer creates a token for each prime factor in the input. + +``` +package main + +import ( + "encoding/binary" + "fmt" +) + +func Tokenizer() interface{} { return FactorTokenizer{} } + +type FactorTokenizer struct{} + +func (FactorTokenizer) Name() string { return "factor" } +func (FactorTokenizer) Type() string { return "int" } +func (FactorTokenizer) Identifier() byte { return 0xfe } + +func (FactorTokenizer) Tokens(value interface{}) ([]string, error) { + x := value.(int64) + if x <= 1 { + return nil, fmt.Errorf("Cannot factor int <= 1: %d", x) + } + var toks []string + for p := int64(2); x > 1; p++ { + if x%p == 0 { + toks = append(toks, encodeInt(p)) + for x%p == 0 { + x /= p + } + } + } + return toks, nil + +} + +func encodeInt(x int64) string { + var buf [binary.MaxVarintLen64]byte + n := binary.PutVarint(buf[:], x) + return string(buf[:n]) +} +``` +{{% notice "note" %}} +Notice that the return of `Type()` is `"int"`, corresponding to the concrete +type of the input to `Tokens` (which is `int64`). +{{% /notice %}} + +This allows you do things like search for all numbers that share prime +factors with a particular number. + +In particular, we search for numbers that contain any of the prime factors of +15, i.e. any numbers that are divisible by either 3 or 5. + +Setting up the indexing and adding data: +``` +num: int @index(factor) . +``` + +``` +{ + set{ + _:2 "2"^^ . + _:3 "3"^^ . + _:4 "4"^^ . + _:5 "5"^^ . + _:6 "6"^^ . + _:7 "7"^^ . + _:8 "8"^^ . + _:9 "9"^^ . + _:10 "10"^^ . + _:11 "11"^^ . + _:12 "12"^^ . + _:13 "13"^^ . + _:14 "14"^^ . + _:15 "15"^^ . + _:16 "16"^^ . + _:17 "17"^^ . + _:18 "18"^^ . + _:19 "19"^^ . + _:20 "20"^^ . + _:21 "21"^^ . + _:22 "22"^^ . + _:23 "23"^^ . + _:24 "24"^^ . + _:25 "25"^^ . + _:26 "26"^^ . + _:27 "27"^^ . + _:28 "28"^^ . + _:29 "29"^^ . + _:30 "30"^^ . + } +} +``` +``` +{ + q(func: anyof(num, factor, 15)) { + num + } +} +=> +{ + "data": { + "q": [ + { "num": 3 }, + { "num": 5 }, + { "num": 6 }, + { "num": 9 }, + { "num": 10 }, + { "num": 12 }, + { "num": 15 }, + { "num": 18 } + { "num": 20 }, + { "num": 21 }, + { "num": 25 }, + { "num": 24 }, + { "num": 27 }, + { "num": 30 }, + ] + } +} +``` diff --git a/wiki/content/query-language/kshortest-path-quries.md b/wiki/content/query-language/kshortest-path-quries.md new file mode 100644 index 00000000000..b23603ad418 --- /dev/null +++ b/wiki/content/query-language/kshortest-path-quries.md @@ -0,0 +1,199 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Shortest Path Queries" +[menu.main] + parent = "query-language" + weight = 23 ++++ + +The shortest path between a source (`from`) node and destination (`to`) node can be found using the keyword `shortest` for the query block name. It requires the source node UID, destination node UID and the predicates (at least one) that have to be considered for traversal. A `shortest` query block returns the shortest path under `_path_` in the query response. The path can also be stored in a variable which is used in other query blocks. + +**K-Shortest Path queries:** By default the shortest path is returned. With `numpaths: k`, and `k > 1`, the k-shortest paths are returned. Cyclical paths are pruned out from the result of k-shortest path query. With `depth: n`, the paths up to `n` depth away are returned. + +{{% notice "note" %}} +- If no predicates are specified in the `shortest` block, no path can be fetched as no edge is traversed. +- If you're seeing queries take a long time, you can set a [gRPC deadline](https://grpc.io/blog/deadlines) to stop the query after a certain amount of time. +{{% /notice %}} + +For example: + +```sh +curl localhost:8080/alter -XPOST -d $' + name: string @index(exact) . +' | python -m json.tool | less +``` + +```sh +curl -H "Content-Type: application/rdf" localhost:8080/mutate?commitNow=true -XPOST -d $' +{ + set { + _:a _:b (weight=0.1) . + _:b _:c (weight=0.2) . + _:c _:d (weight=0.3) . + _:a _:d (weight=1) . + _:a "Alice" . + _:a "Person" . + _:b "Bob" . + _:b "Person" . + _:c "Tom" . + _:c "Person" . + _:d "Mallory" . + _:d "Person" . + } +}' | python -m json.tool | less +``` + +The shortest path between Alice and Mallory (assuming UIDs 0x2 and 0x5 respectively) can be found with query: + +```sh +curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $'{ + path as shortest(from: 0x2, to: 0x5) { + friend + } + path(func: uid(path)) { + name + } +}' | python -m json.tool | less +``` + +Which returns the following results. (Note, without considering the `weight` facet, each edges' weight is considered as 1) + +``` +{ + "data": { + "path": [ + { + "name": "Alice" + }, + { + "name": "Mallory" + } + ], + "_path_": [ + { + "uid": "0x2", + "friend": [ + { + "uid": "0x5" + } + ] + } + ] + } +} +``` + +We can return more paths by specifying `numpaths`. Setting `numpaths: 2` returns the shortest two paths: + +```sh +curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $'{ + + A as var(func: eq(name, "Alice")) + M as var(func: eq(name, "Mallory")) + + path as shortest(from: uid(A), to: uid(M), numpaths: 2) { + friend + } + path(func: uid(path)) { + name + } +}' | python -m json.tool | less +``` + +{{% notice "note" %}}In the query above, instead of using UID literals, we query both people using var blocks and the `uid()` function. You can also combine it with [GraphQL Variables]({{< relref "#graphql-variables" >}}).{{% /notice %}} + +Edges weights are included by using facets on the edges as follows. + +{{% notice "note" %}}Only one facet per predicate is allowed in the shortest query block.{{% /notice %}} + +```sh +curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $'{ + path as shortest(from: 0x2, to: 0x5) { + friend @facets(weight) + } + + path(func: uid(path)) { + name + } +}' | python -m json.tool | less +``` + +``` +{ + "data": { + "path": [ + { + "name": "Alice" + }, + { + "name": "Bob" + }, + { + "name": "Tom" + }, + { + "name": "Mallory" + } + ], + "_path_": [ + { + "uid": "0x2", + "friend": [ + { + "uid": "0x3", + "friend|weight": 0.1, + "friend": [ + { + "uid": "0x4", + "friend|weight": 0.2, + "friend": [ + { + "uid": "0x5", + "friend|weight": 0.3 + } + ] + } + ] + } + ] + } + ] + } +} +``` + +Constraints can be applied to the intermediate nodes as follows. + +```sh +curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $'{ + path as shortest(from: 0x2, to: 0x5) { + friend @filter(not eq(name, "Bob")) @facets(weight) + relative @facets(liking) + } + + relationship(func: uid(path)) { + name + } +}' | python -m json.tool | less +``` + +The k-shortest path algorithm (used when `numpaths` > 1) also accepts the arguments `minweight` and `maxweight`, which take a float as their value. When they are passed, only paths within the weight range `[minweight, maxweight]` will be considered as valid paths. This can be used, for example, to query the shortest paths that traverse between 2 and 4 nodes. + +```sh +curl -H "Content-Type: application/graphql+-" localhost:8080/query -XPOST -d $'{ + path as shortest(from: 0x2, to: 0x5, numpaths: 2, minweight: 2, maxweight: 4) { + friend + } + path(func: uid(path)) { + name + } +}' | python -m json.tool | less +``` + +Some points to keep in mind for shortest path queries: + +- Weights must be non-negative. Dijkstra's algorithm is used to calculate the shortest paths. +- Only one facet per predicate in the shortest query block is allowed. +- Only one `shortest` path block is allowed per query. Only one `_path_` is returned in the result. For queries with `numpaths` > 1, `_path_` contains all the paths. +- Cyclical paths are not included in the result of k-shortest path query. +- For k-shortest paths (when `numpaths` > 1), the result of the shortest path query variable will only return a single path which will be the shortest path among the k paths. All k paths are returned in `_path_`. \ No newline at end of file diff --git a/wiki/content/query-language/math-on-value-variables.md b/wiki/content/query-language/math-on-value-variables.md new file mode 100644 index 00000000000..d4cd3cd2a89 --- /dev/null +++ b/wiki/content/query-language/math-on-value-variables.md @@ -0,0 +1,93 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Math on value variables" +[menu.main] + parent = "query-language" + weight = 12 ++++ + +Value variables can be combined using mathematical functions. For example, this could be used to associate a score which is then used to order or perform other operations, such as might be used in building news feeds, simple recommendation systems, and so on. + +Math statements must be enclosed within `math( )` and must be stored to a value variable. + +The supported operators are as follows: + +| Operators | Types accepted | What it does | +| :------------: | :--------------: | :------------------------: | +| `+` `-` `*` `/` `%` | `int`, `float` | performs the corresponding operation | +| `min` `max` | All types except `geo`, `bool` (binary functions) | selects the min/max value among the two | +| `<` `>` `<=` `>=` `==` `!=` | All types except `geo`, `bool` | Returns true or false based on the values | +| `floor` `ceil` `ln` `exp` `sqrt` | `int`, `float` (unary function) | performs the corresponding operation | +| `since` | `dateTime` | Returns the number of seconds in float from the time specified | +| `pow(a, b)` | `int`, `float` | Returns `a to the power b` | +| `logbase(a,b)` | `int`, `float` | Returns `log(a)` to the base `b` | +| `cond(a, b, c)` | first operand must be a boolean | selects `b` if `a` is true else `c` | + + +Query Example: Form a score for each of Steven Spielberg's movies as the sum of number of actors, number of genres and number of countries. List the top five such movies in order of decreasing score. + +{{< runnable >}} +{ + var(func:allofterms(name@en, "steven spielberg")) { + films as director.film { + p as count(starring) + q as count(genre) + r as count(country) + score as math(p + q + r) + } + } + + TopMovies(func: uid(films), orderdesc: val(score), first: 5){ + name@en + val(score) + } +} +{{< /runnable >}} + +Value variables and aggregations of them can be used in filters. + +Query Example: Calculate a score for each Steven Spielberg movie with a condition on release date to penalize movies that are more than 10 years old, filtering on the resulting score. + +{{< runnable >}} +{ + var(func:allofterms(name@en, "steven spielberg")) { + films as director.film { + p as count(starring) + q as count(genre) + date as initial_release_date + years as math(since(date)/(365*24*60*60)) + score as math(cond(years > 10, 0, ln(p)+q-ln(years))) + } + } + + TopMovies(func: uid(films), orderdesc: val(score)) @filter(gt(val(score), 2)){ + name@en + val(score) + val(date) + } +} +{{< /runnable >}} + + +Values calculated with math operations are stored to value variables and so can be aggregated. + +Query Example: Compute a score for each Steven Spielberg movie and then aggregate the score. + +{{< runnable >}} +{ + steven as var(func:eq(name@en, "Steven Spielberg")) @filter(has(director.film)) { + director.film { + p as count(starring) + q as count(genre) + r as count(country) + score as math(p + q + r) + } + directorScore as sum(val(score)) + } + + score(func: uid(steven)){ + name@en + val(directorScore) + } +} +{{< /runnable >}} diff --git a/wiki/content/query-language/multiple-query-blocks.md b/wiki/content/query-language/multiple-query-blocks.md new file mode 100644 index 00000000000..fa358575393 --- /dev/null +++ b/wiki/content/query-language/multiple-query-blocks.md @@ -0,0 +1,101 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Multiple Query Blocks" +[menu.main] + parent = "query-language" + weight = 8 ++++ + +Inside a single query, multiple query blocks are allowed. The result is all blocks with corresponding block names. + +Multiple query blocks are executed in parallel. + +The blocks need not be related in any way. + +Query Example: All of Angelina Jolie's films, with genres, and Peter Jackson's films since 2008. + +{{< runnable >}} +{ + AngelinaInfo(func:allofterms(name@en, "angelina jolie")) { + name@en + actor.film { + performance.film { + genre { + name@en + } + } + } + } + + DirectorInfo(func: eq(name@en, "Peter Jackson")) { + name@en + director.film @filter(ge(initial_release_date, "2008")) { + Release_date: initial_release_date + Name: name@en + } + } +} +{{< /runnable >}} + + +If queries contain some overlap in answers, the result sets are still independent. + +Query Example: The movies Mackenzie Crook has acted in and the movies Jack Davenport has acted in. The results sets overlap because both have acted in the Pirates of the Caribbean movies, but the results are independent and both contain the full answers sets. + +{{< runnable >}} +{ + Mackenzie(func:allofterms(name@en, "Mackenzie Crook")) { + name@en + actor.film { + performance.film { + uid + name@en + } + performance.character { + name@en + } + } + } + + Jack(func:allofterms(name@en, "Jack Davenport")) { + name@en + actor.film { + performance.film { + uid + name@en + } + performance.character { + name@en + } + } + } +} +{{< /runnable >}} + + +## Var Blocks + +Var blocks start with the keyword `var` and are not returned in the query results. + +Query Example: Angelina Jolie's movies ordered by genre. + +{{< runnable >}} +{ + var(func:allofterms(name@en, "angelina jolie")) { + name@en + actor.film { + A AS performance.film { + B AS genre + } + } + } + + films(func: uid(B), orderasc: name@en) { + name@en + ~genre @filter(uid(A)) { + name@en + } + } +} +{{< /runnable >}} + diff --git a/wiki/content/query-language/normalize-directive.md b/wiki/content/query-language/normalize-directive.md new file mode 100644 index 00000000000..a11db8e5451 --- /dev/null +++ b/wiki/content/query-language/normalize-directive.md @@ -0,0 +1,57 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Normalize directive" +[menu.main] + parent = "query-language" + weight = 17 ++++ + +With the `@normalize` directive, only aliased predicates are returned and the result is flattened to remove nesting. + +Query Example: Film name, country and first two actors (by UID order) of every Steven Spielberg movie, without `initial_release_date` because no alias is given and flattened by `@normalize` +{{< runnable >}} +{ + director(func:allofterms(name@en, "steven spielberg")) @normalize { + director: name@en + director.film { + film: name@en + initial_release_date + starring(first: 2) { + performance.actor { + actor: name@en + } + performance.character { + character: name@en + } + } + country { + country: name@en + } + } + } +} +{{< /runnable >}} + +You can also apply `@normalize` on nested query blocks. It will work similarly but only flatten the result of the nested query block where `@normalize` has been applied. `@normalize` will return a list irrespective of the type of attribute on which it is applied. +{{< runnable >}} +{ + director(func:allofterms(name@en, "steven spielberg")) { + director: name@en + director.film { + film: name@en + initial_release_date + starring(first: 2) @normalize { + performance.actor { + actor: name@en + } + performance.character { + character: name@en + } + } + country { + country: name@en + } + } + } +} +{{< /runnable >}} \ No newline at end of file diff --git a/wiki/content/query-language/pagination.md b/wiki/content/query-language/pagination.md new file mode 100644 index 00000000000..2e54da702ee --- /dev/null +++ b/wiki/content/query-language/pagination.md @@ -0,0 +1,132 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Pagination" +[menu.main] + parent = "query-language" + weight = 5 ++++ + +Pagination allows returning only a portion, rather than the whole, result set. This can be useful for top-k style queries as well as to reduce the size of the result set for client side processing or to allow paged access to results. + +Pagination is often used with [sorting]({{< relref "#sorting">}}). + +{{% notice "note" %}}Without a sort order specified, the results are sorted by `uid`, which is assigned randomly. So the ordering, while deterministic, might not be what you expected.{{% /notice %}} +## First + +Syntax Examples: + +* `q(func: ..., first: N)` +* `predicate (first: N) { ... }` +* `predicate @filter(...) (first: N) { ... }` + +For positive `N`, `first: N` retrieves the first `N` results, by sorted or UID order. + +For negative `N`, `first: N` retrieves the last `N` results, by sorted or UID order. Currently, negative is only supported when no order is applied. To achieve the effect of a negative with a sort, reverse the order of the sort and use a positive `N`. + + +Query Example: Last two films, by UID order, directed by Steven Spielberg and the first three genres of those movies, sorted alphabetically by English name. + +{{< runnable >}} +{ + me(func: allofterms(name@en, "Steven Spielberg")) { + director.film (first: -2) { + name@en + initial_release_date + genre (orderasc: name@en) (first: 3) { + name@en + } + } + } +} +{{< /runnable >}} + + + +Query Example: The three directors named Steven who have directed the most actors of all directors named Steven. + +{{< runnable >}} +{ + ID as var(func: allofterms(name@en, "Steven")) @filter(has(director.film)) { + director.film { + stars as count(starring) + } + totalActors as sum(val(stars)) + } + + mostStars(func: uid(ID), orderdesc: val(totalActors), first: 3) { + name@en + stars : val(totalActors) + + director.film { + name@en + } + } +} +{{< /runnable >}} +## Offset + +Syntax Examples: + +* `q(func: ..., offset: N)` +* `predicate (offset: N) { ... }` +* `predicate (first: M, offset: N) { ... }` +* `predicate @filter(...) (offset: N) { ... }` + +With `offset: N` the first `N` results are not returned. Used in combination with first, `first: M, offset: N` skips over `N` results and returns the following `M`. + +Query Example: Order Hark Tsui's films by English title, skip over the first 4 and return the following 6. + +{{< runnable >}} +{ + me(func: allofterms(name@en, "Hark Tsui")) { + name@zh + name@en + director.film (orderasc: name@en) (first:6, offset:4) { + genre { + name@en + } + name@zh + name@en + initial_release_date + } + } +} +{{< /runnable >}} +## After + +Syntax Examples: + +* `q(func: ..., after: UID)` +* `predicate (first: N, after: UID) { ... }` +* `predicate @filter(...) (first: N, after: UID) { ... }` + +Another way to get results after skipping over some results is to use the default UID ordering and skip directly past a node specified by UID. For example, a first query could be of the form `predicate (after: 0x0, first: N)`, or just `predicate (first: N)`, with subsequent queries of the form `predicate(after: , first: N)`. + + +Query Example: The first five of Baz Luhrmann's films, sorted by UID order. + +{{< runnable >}} +{ + me(func: allofterms(name@en, "Baz Luhrmann")) { + name@en + director.film (first:5) { + uid + name@en + } + } +} +{{< /runnable >}} + +The fifth movie is the Australian movie classic Strictly Ballroom. It has UID `0x99e44`. The results after Strictly Ballroom can now be obtained with `after`. + +{{< runnable >}} +{ + me(func: allofterms(name@en, "Baz Luhrmann")) { + name@en + director.film (first:5, after: 0x99e44) { + uid + name@en + } + } +} +{{< /runnable >}} diff --git a/wiki/content/query-language/query-variables.md b/wiki/content/query-language/query-variables.md new file mode 100644 index 00000000000..d33a023c9b6 --- /dev/null +++ b/wiki/content/query-language/query-variables.md @@ -0,0 +1,56 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Query Variables" +[menu.main] + parent = "query-language" + weight = 9 ++++ + +Syntax Examples: + +* `varName as q(func: ...) { ... }` +* `varName as var(func: ...) { ... }` +* `varName as predicate { ... }` +* `varName as predicate @filter(...) { ... }` + +Types : `uid` + +Nodes (UIDs) matched at one place in a query can be stored in a variable and used elsewhere. Query variables can be used in other query blocks or in a child node of the defining block. + +Query variables do not affect the semantics of the query at the point of definition. Query variables are evaluated to all nodes matched by the defining block. + +In general, query blocks are executed in parallel, but variables impose an evaluation order on some blocks. Cycles induced by variable dependence are not permitted. + +If a variable is defined, it must be used elsewhere in the query. + +A query variable is used by extracting the UIDs in it with `uid(var-name)`. + +The syntax `func: uid(A,B)` or `@filter(uid(A,B))` means the union of UIDs for variables `A` and `B`. + +Query Example: The movies of Angelia Jolie and Brad Pitt where both have acted on movies in the same genre. Note that `B` and `D` match all genres for all movies, not genres per movie. +{{< runnable >}} +{ + var(func:allofterms(name@en, "angelina jolie")) { + actor.film { + A AS performance.film { # All films acted in by Angelina Jolie + B As genre # Genres of all the films acted in by Angelina Jolie + } + } + } + + var(func:allofterms(name@en, "brad pitt")) { + actor.film { + C AS performance.film { # All films acted in by Brad Pitt + D as genre # Genres of all the films acted in by Brad Pitt + } + } + } + + films(func: uid(D)) @filter(uid(B)) { # Genres from both Angelina and Brad + name@en + ~genre @filter(uid(A, C)) { # Movies in either A or C. + name@en + } + } +} +{{< /runnable >}} \ No newline at end of file diff --git a/wiki/content/query-language/recurse-query.md b/wiki/content/query-language/recurse-query.md new file mode 100644 index 00000000000..ea5b8f5d86d --- /dev/null +++ b/wiki/content/query-language/recurse-query.md @@ -0,0 +1,31 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Recurse Query" +[menu.main] + parent = "query-language" + weight = 24 ++++ + +`Recurse` queries let you traverse a set of predicates (with filter, facets, etc.) until we reach all leaf nodes or we reach the maximum depth which is specified by the `depth` parameter. + +To get 10 movies from a genre that has more than 30000 films and then get two actors for those movies we'd do something as follows: +{{< runnable >}} +{ + me(func: gt(count(~genre), 30000), first: 1) @recurse(depth: 5, loop: true) { + name@en + ~genre (first:10) @filter(gt(count(starring), 2)) + starring (first: 2) + performance.actor + } +} +{{< /runnable >}} +Some points to keep in mind while using recurse queries are: + +- You can specify only one level of predicates after root. These would be traversed recursively. Both scalar and entity-nodes are treated similarly. +- Only one recurse block is advised per query. +- Be careful as the result size could explode quickly and an error would be returned if the result set gets too large. In such cases use more filters, limit results using pagination, or provide a depth parameter at root as shown in the example above. +- The `loop` parameter can be set to false, in which case paths which lead to a loop would be ignored + while traversing. +- If not specified, the value of the `loop` parameter defaults to false. +- If the value of the `loop` parameter is false and depth is not specified, `depth` will default to `math.MaxUint64`, which means that the entire graph might be traversed until all the leaf nodes are reached. + diff --git a/wiki/content/query-language/schema.md b/wiki/content/query-language/schema.md new file mode 100644 index 00000000000..ee471480957 --- /dev/null +++ b/wiki/content/query-language/schema.md @@ -0,0 +1,517 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Schema" +[menu.main] + parent = "query-language" + weight = 20 ++++ + +For each predicate, the schema specifies the target's type. If a predicate `p` has type `T`, then for all subject-predicate-object triples `s p o` the object `o` is of schema type `T`. + +* On mutations, scalar types are checked and an error thrown if the value cannot be converted to the schema type. + +* On query, value results are returned according to the schema type of the predicate. + +If a schema type isn't specified before a mutation adds triples for a predicate, then the type is inferred from the first mutation. This type is either: + +* type `uid`, if the first mutation for the predicate has nodes for the subject and object, or + +* derived from the [RDF type]({{< relref "#rdf-types" >}}), if the object is a literal and an RDF type is present in the first mutation, or + +* `default` type, otherwise. + + +## Schema Types + +Dgraph supports scalar types and the UID type. + +### Scalar Types + +For all triples with a predicate of scalar types the object is a literal. + +| Dgraph Type | Go type | +| ------------|:--------| +| `default` | string | +| `int` | int64 | +| `float` | float | +| `string` | string | +| `bool` | bool | +| `dateTime` | time.Time (RFC3339 format [Optional timezone] eg: 2006-01-02T15:04:05.999999999+10:00 or 2006-01-02T15:04:05.999999999) | +| `geo` | [go-geom](https://github.com/twpayne/go-geom) | +| `password` | string (encrypted) | + + +{{% notice "note" %}}Dgraph supports date and time formats for `dateTime` scalar type only if they +are RFC 3339 compatible which is different from ISO 8601(as defined in the RDF spec). You should +convert your values to RFC 3339 format before sending them to Dgraph.{{% /notice %}} + +### UID Type + +The `uid` type denotes a node-node edge; internally each node is represented as a `uint64` id. + +| Dgraph Type | Go type | +| ------------|:--------| +| `uid` | uint64 | + + +## Adding or Modifying Schema + +Schema mutations add or modify schema. + +Multiple scalar values can also be added for a `S P` by specifying the schema to be of +list type. Occupations in the example below can store a list of strings for each `S P`. + +An index is specified with `@index`, with arguments to specify the tokenizer. When specifying an +index for a predicate it is mandatory to specify the type of the index. For example: + +``` +name: string @index(exact, fulltext) @count . +multiname: string @lang . +age: int @index(int) . +friend: [uid] @count . +dob: dateTime . +location: geo @index(geo) . +occupations: [string] @index(term) . +``` + +If no data has been stored for the predicates, a schema mutation sets up an empty schema ready to receive triples. + +If data is already stored before the mutation, existing values are not checked to conform to the new schema. On query, Dgraph tries to convert existing values to the new schema types, ignoring any that fail conversion. + +If data exists and new indices are specified in a schema mutation, any index not in the updated list is dropped and a new index is created for every new tokenizer specified. + +Reverse edges are also computed if specified by a schema mutation. + + +## Indexes in Background + +Indexes may take long time to compute depending upon the size of the data. +Starting Dgraph version `20.03.0`, indexes can be computed in the background, +and thus indexing may still be running after an Alter operation returns. +This requires that you wait for indexing to complete before running queries +that require newly created indices. Such queries will fail with an error +notifying that a given predicate is not indexed or doesn't have reverse edges. + +An alter operation will also fail if one is already in progress with an error +`schema is already being modified. Please retry`. Though, mutations can +be successfully executed while indexing is going on. + +For example, let's say we execute an Alter operation with the following schema: + +``` +name: string @index(fulltext, term) . +age: int @index(int) @upsert . +friend: [uid] @count @reverse . +``` + +Once the Alter operation returns, Dgraph will report the following schema +and start background tasks to compute all the new indexes: + +``` +name: string . +age: int @upsert . +friend: [uid] . +``` + +When indexes are done computing, Dgraph will start reporting the indexes in the +schema. In a multi-node cluster, it is possible that the alphas will finish +computing indexes at different times. Alphas may return different schema in such +a case until all the indexes are done computing on all the Alphas. + +Background indexing task may fail if an unexpected error occurs while computing +the indexes. You should retry the Alter operation in order to update the schema, +or sync the schema across all the alphas. + +We also plan to add a simpler API soon to check the status of background indexing. +See this [PR](https://github.com/dgraph-io/dgraph/pull/4961) for more details. + +### HTTP API + +You can specify the flag `runInBackground` to `true` to run +index computation in the background. + +```sh +curl localhost:8080/alter?runInBackground=true -XPOST -d $' + name: string @index(fulltext, term) . + age: int @index(int) @upsert . + friend: [uid] @count @reverse . +' | python -m json.tool | less +``` + +### Grpc API + +You can set `RunInBackground` field to `true` of the `api.Operation` +struct before passing it to the `Alter` function. + +```go +op := &api.Operation{} +op.Schema = ` + name: string @index(fulltext, term) . + age: int @index(int) @upsert . + friend: [uid] @count @reverse . +` +op.RunInBackground = true +err = dg.Alter(context.Background(), op) +``` + + +## Predicate name rules + +Any alphanumeric combination of a predicate name is permitted. +Dgraph also supports [Internationalized Resource Identifiers](https://en.wikipedia.org/wiki/Internationalized_Resource_Identifier) (IRIs). +You can read more in [Predicates i18n](#predicates-i18n). + +### Allowed special characters + +Single special characters are not accepted, which includes the special characters from IRIs. +They have to be prefixed/suffixed with alphanumeric characters. + +``` +][&*()_-+=!#$% +``` + +*Note: You are not restricted to use @ suffix, but the suffix character gets ignored.* + +### Forbidden special characters + +The special characters below are not accepted. + +``` +^}|{`\~ +``` + + +## Predicates i18n + +If your predicate is a URI or has language-specific characters, then enclose +it with angle brackets `<>` when executing the schema mutation. + +{{% notice "note" %}}Dgraph supports [Internationalized Resource Identifiers](https://en.wikipedia.org/wiki/Internationalized_Resource_Identifier) (IRIs) for predicate names and values.{{% /notice %}} + +Schema syntax: +``` +<职业>: string @index(exact) . +<年龄>: int @index(int) . +<地点>: geo @index(geo) . +<公司>: string . +``` + +This syntax allows for internationalized predicate names, but full-text indexing still defaults to English. +To use the right tokenizer for your language, you need to use the `@lang` directive and enter values using your +language tag. + +Schema: +``` +<公司>: string @index(fulltext) @lang . +``` +Mutation: +``` +{ + set { + _:a <公司> "Dgraph Labs Inc"@en . + _:b <公司> "夏新科技有限责任公司"@zh . + _:a "Company" . + } +} +``` +Query: +``` +{ + q(func: alloftext(<公司>@zh, "夏新科技有限责任公司")) { + uid + <公司>@. + } +} +``` + + +## Upsert directive + +To use [upsert operations]({{< relref "howto/upserts.md">}}) on a +predicate, specify the `@upsert` directive in the schema. When committing +transactions involving predicates with the `@upsert` directive, Dgraph checks +index keys for conflicts, helping to enforce uniqueness constraints when running +concurrent upserts. + +This is how you specify the upsert directive for a predicate. +``` +email: string @index(exact) @upsert . +``` + +## Noconflict directive + +The NoConflict directive prevents conflict detection at the predicate level. This is an experimental feature and not a +recommended directive but exists to help avoid conflicts for predicates that don't have high +correctness requirements. This can cause data loss, especially when used for predicates with count +index. + +This is how you specify the `@noconflict` directive for a predicate. +``` +email: string @index(exact) @noconflict . +``` + +## RDF Types + +Dgraph supports a number of [RDF types in mutations]({{< relref "mutations/language-rdf-types.md" >}}). + +As well as implying a schema type for a [first mutation]({{< relref "#schema" >}}), an RDF type can override a schema type for storage. + +If a predicate has a schema type and a mutation has an RDF type with a different underlying Dgraph type, the convertibility to schema type is checked, and an error is thrown if they are incompatible, but the value is stored in the RDF type's corresponding Dgraph type. Query results are always returned in schema type. + +For example, if no schema is set for the `age` predicate. Given the mutation +``` +{ + set { + _:a "15"^^ . + _:b "13" . + _:c "14"^^ . + _:d "14.5"^^ . + _:e "14.5" . + } +} +``` +Dgraph: + +* sets the schema type to `int`, as implied by the first triple, +* converts `"13"` to `int` on storage, +* checks `"14"` can be converted to `int`, but stores as `string`, +* throws an error for the remaining two triples, because `"14.5"` can't be converted to `int`. + +## Extended Types + +The following types are also accepted. + +### Password type + +A password for an entity is set with setting the schema for the attribute to be of type `password`. Passwords cannot be queried directly, only checked for a match using the `checkpwd` function. +The passwords are encrypted using [bcrypt](https://en.wikipedia.org/wiki/Bcrypt). + +For example: to set a password, first set schema, then the password: +``` +pass: password . +``` + +``` +{ + set { + <0x123> "Password Example" . + <0x123> "ThePassword" . + } +} +``` + +to check a password: +``` +{ + check(func: uid(0x123)) { + name + checkpwd(pass, "ThePassword") + } +} +``` + +output: +``` +{ + "data": { + "check": [ + { + "name": "Password Example", + "checkpwd(pass)": true + } + ] + } +} +``` + +You can also use alias with password type. + +``` +{ + check(func: uid(0x123)) { + name + secret: checkpwd(pass, "ThePassword") + } +} +``` + +output: +``` +{ + "data": { + "check": [ + { + "name": "Password Example", + "secret": true + } + ] + } +} +``` + +## Indexing + +{{% notice "note" %}}Filtering on a predicate by applying a [function]({{< relref "#functions" >}}) requires an index.{{% /notice %}} + +When filtering by applying a function, Dgraph uses the index to make the search through a potentially large dataset efficient. + +All scalar types can be indexed. + +Types `int`, `float`, `bool` and `geo` have only a default index each: with tokenizers named `int`, `float`, `bool` and `geo`. + +Types `string` and `dateTime` have a number of indices. + +### String Indices +The indices available for strings are as follows. + +| Dgraph function | Required index / tokenizer | Notes | +| :----------------------- | :------------ | :--- | +| `eq` | `hash`, `exact`, `term`, or `fulltext` | The most performant index for `eq` is `hash`. Only use `term` or `fulltext` if you also require term or full-text search. If you're already using `term`, there is no need to use `hash` or `exact` as well. | +| `le`, `ge`, `lt`, `gt` | `exact` | Allows faster sorting. | +| `allofterms`, `anyofterms` | `term` | Allows searching by a term in a sentence. | +| `alloftext`, `anyoftext` | `fulltext` | Matching with language specific stemming and stopwords. | +| `regexp` | `trigram` | Regular expression matching. Can also be used for equality checking. | + +{{% notice "warning" %}} +Incorrect index choice can impose performance penalties and an increased +transaction conflict rate. Use only the minimum number of and simplest indexes +that your application needs. +{{% /notice %}} + + +### DateTime Indices + +The indices available for `dateTime` are as follows. + +| Index name / Tokenizer | Part of date indexed | +| :----------- | :------------------------------------------------------------------ | +| `year` | index on year (default) | +| `month` | index on year and month | +| `day` | index on year, month and day | +| `hour` | index on year, month, day and hour | + +The choices of `dateTime` index allow selecting the precision of the index. Applications, such as the movies examples in these docs, that require searching over dates but have relatively few nodes per year may prefer the `year` tokenizer; applications that are dependent on fine grained date searches, such as real-time sensor readings, may prefer the `hour` index. + + +All the `dateTime` indices are sortable. + + +### Sortable Indices + +Not all the indices establish a total order among the values that they index. Sortable indices allow inequality functions and sorting. + +* Indexes `int` and `float` are sortable. +* `string` index `exact` is sortable. +* All `dateTime` indices are sortable. + +For example, given an edge `name` of `string` type, to sort by `name` or perform inequality filtering on names, the `exact` index must have been specified. In which case a schema query would return at least the following tokenizers. + +``` +{ + "predicate": "name", + "type": "string", + "index": true, + "tokenizer": [ + "exact" + ] +} +``` + +### Count index + +For predicates with the `@count` Dgraph indexes the number of edges out of each node. This enables fast queries of the form: +``` +{ + q(func: gt(count(pred), threshold)) { + ... + } +} +``` + +## List Type + +Predicate with scalar types can also store a list of values if specified in the schema. The scalar +type needs to be enclosed within `[]` to indicate that its a list type. These lists are like an +unordered set. + +``` +occupations: [string] . +score: [int] . +``` + +* A set operation adds to the list of values. The order of the stored values is non-deterministic. +* A delete operation deletes the value from the list. +* Querying for these predicates would return the list in an array. +* Indexes can be applied on predicates which have a list type and you can use [Functions]({{}}) on them. +* Sorting is not allowed using these predicates. + +## Filtering on list + +Dgraph supports filtering based on the list. +Filtering works similarly to how it works on edges and has the same available functions. + +For example, `@filter(eq(occupations, "Teacher"))` at the root of the query or the +parent edge will display all the occupations from a list of each node in an array but +will only include nodes which have `Teacher` as one of the occupations. However, filtering +on value edge is not supported. + +## Reverse Edges + +A graph edge is unidirectional. For node-node edges, sometimes modeling requires reverse edges. If only some subject-predicate-object triples have a reverse, these must be manually added. But if a predicate always has a reverse, Dgraph computes the reverse edges if `@reverse` is specified in the schema. + +The reverse edge of `anEdge` is `~anEdge`. + +For existing data, Dgraph computes all reverse edges. For data added after the schema mutation, Dgraph computes and stores the reverse edge for each added triple. + +## Querying Schema + +A schema query queries for the whole schema: + +``` +schema {} +``` + +{{% notice "note" %}} Unlike regular queries, the schema query is not surrounded +by curly braces. Also, schema queries and regular queries cannot be combined. +{{% /notice %}} + +You can query for particular schema fields in the query body. + +``` +schema { + type + index + reverse + tokenizer + list + count + upsert + lang +} +``` + +You can also query for particular predicates: + +``` +schema(pred: [name, friend]) { + type + index + reverse + tokenizer + list + count + upsert + lang +} +``` + +Types can also be queried. Below are some example queries. + +``` +schema(type: Movie) {} +schema(type: [Person, Animal]) {} +``` + +Note that type queries do not contain anything between the curly braces. The +output will be the entire definition of the requested types. diff --git a/wiki/content/query-language/sorting.md b/wiki/content/query-language/sorting.md new file mode 100644 index 00000000000..b73f9558e31 --- /dev/null +++ b/wiki/content/query-language/sorting.md @@ -0,0 +1,76 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Sorting" +[menu.main] + parent = "query-language" + weight = 7 ++++ + +Syntax Examples: + +* `q(func: ..., orderasc: predicate)` +* `q(func: ..., orderdesc: val(varName))` +* `predicate (orderdesc: predicate) { ... }` +* `predicate @filter(...) (orderasc: N) { ... }` +* `q(func: ..., orderasc: predicate1, orderdesc: predicate2)` + +Sortable Types: `int`, `float`, `String`, `dateTime`, `default` + +Results can be sorted in ascending order (`orderasc`) or descending order (`orderdesc`) by a predicate or variable. + +For sorting on predicates with [sortable indices]({{< relref "#sortable-indices">}}), Dgraph sorts on the values and with the index in parallel and returns whichever result is computed first. + +Sorted queries retrieve up to 1000 results by default. This can be changed with [first]({{< relref "#first">}}). + + +Query Example: French director Jean-Pierre Jeunet's movies sorted by release date. + +{{< runnable >}} +{ + me(func: allofterms(name@en, "Jean-Pierre Jeunet")) { + name@fr + director.film(orderasc: initial_release_date) { + name@fr + name@en + initial_release_date + } + } +} +{{< /runnable >}} + +Sorting can be performed at root and on value variables. + +Query Example: All genres sorted alphabetically and the five movies in each genre with the most genres. + +{{< runnable >}} +{ + genres as var(func: has(~genre)) { + ~genre { + numGenres as count(genre) + } + } + + genres(func: uid(genres), orderasc: name@en) { + name@en + ~genre (orderdesc: val(numGenres), first: 5) { + name@en + genres : val(numGenres) + } + } +} +{{< /runnable >}} + +Sorting can also be performed by multiple predicates as shown below. If the values are equal for the +first predicate, then they are sorted by the second predicate and so on. + +Query Example: Find all nodes which have type Person, sort them by their first_name and among those +that have the same first_name sort them by last_name in descending order. + +``` +{ + me(func: type("Person"), orderasc: first_name, orderdesc: last_name) { + first_name + last_name + } +} +``` \ No newline at end of file diff --git a/wiki/content/query-language/type-system.md b/wiki/content/query-language/type-system.md new file mode 100644 index 00000000000..c915fc2c957 --- /dev/null +++ b/wiki/content/query-language/type-system.md @@ -0,0 +1,146 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Type System" +[menu.main] + parent = "query-language" + weight = 21 ++++ + +Dgraph supports a type system that can be used to categorize nodes and query +them based on their type. The type system is also used during expand queries. + +## Type definition + +Types are defined using a GraphQL-like syntax. For example: + +``` +type Student { + name + dob + home_address + year + friends +} +``` + +Types are declared along with the schema using the Alter endpoint. In order to +properly support the above type, a predicate for each of the attributes +in the type is also needed, such as: + +``` +name: string @index(term) . +dob: datetime . +home_address: string . +year: int . +friends: [uid] . +``` + +Reverse predicates can also be included inside a type definition. For example, the type above +could be expanded to include the parent of the student if there's a predicate `children` with +a reverse edge (the brackets around the predicate name are needed to properly understand the +special character `~`). + +``` +children: [uid] @reverse . + +type Student { + name + dob + home_address + year + friends + <~children> +} +``` + +Edges can be used in multiple types: for example, `name` might be used for both +a person and a pet. Sometimes, however, it's required to use a different +predicate for each type to represent a similar concept. For example, if student +names and book names required different indexes, then the predicates must be +different. + +``` +type Student { + student_name +} + +type Textbook { + textbook_name +} + +student_name: string @index(exact) . +textbook_name: string @lang @index(fulltext) . +``` + +Altering the schema for a type that already exists, overwrites the existing +definition. + +## Setting the type of a node + +Scalar nodes cannot have types since they only have one attribute and its type +is the type of the node. UID nodes can have a type. The type is set by setting +the value of the `dgraph.type` predicate for that node. A node can have multiple +types. Here's an example of how to set the types of a node: + +``` +{ + set { + _:a "Garfield" . + _:a "Pet" . + _:a "Animal" . + } +} +``` + +`dgraph.type` is a reserved predicate and cannot be removed or modified. + +## Using types during queries + +Types can be used as a top level function in the query language. For example: + +``` +{ + q(func: type(Animal)) { + uid + name + } +} +``` + +This query will only return nodes whose type is set to `Animal`. + +Types can also be used to filter results inside a query. For example: + +``` +{ + q(func: has(parent)) { + uid + parent @filter(type(Person)) { + uid + name + } + } +} +``` + +This query will return the nodes that have a parent predicate and only the +`parent`'s of type `Person`. + +## Deleting a type + +Type definitions can be deleted using the Alter endpoint. All that is needed is +to send an operation object with the field `DropOp` (or `drop_op` depending on +the client) to the enum value `TYPE` and the field 'DropValue' (or `drop_value`) +to the type that is meant to be deleted. + +Below is an example deleting the type `Person` using the Go client: +```go +err := c.Alter(context.Background(), &api.Operation{ + DropOp: api.Operation_TYPE, + DropValue: "Person"}) +``` + +## Expand queries and types + +Queries using [expand]({{< relref "#expand-predicates" >}}) (i.e.: +`expand(_all_)`) require that the nodes to be expanded have types. \ No newline at end of file diff --git a/wiki/content/query-language/value-variables.md b/wiki/content/query-language/value-variables.md new file mode 100644 index 00000000000..37158511751 --- /dev/null +++ b/wiki/content/query-language/value-variables.md @@ -0,0 +1,135 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Value Variables" +[menu.main] + parent = "query-language" + weight = 10 ++++ + + +Syntax Examples: + +* `varName as scalarPredicate` +* `varName as count(predicate)` +* `varName as avg(...)` +* `varName as math(...)` + +Types : `int`, `float`, `String`, `dateTime`, `default`, `geo`, `bool` + +Value variables store scalar values. Value variables are a map from the UIDs of the enclosing block to the corresponding values. + +It therefore only makes sense to use the values from a value variable in a context that matches the same UIDs - if used in a block matching different UIDs the value variable is undefined. + +It is an error to define a value variable but not use it elsewhere in the query. + +Value variables are used by extracting the values with `val(var-name)`, or by extracting the UIDs with `uid(var-name)`. + +[Facet]({{< relref "#facets-edge-attributes">}}) values can be stored in value variables. + +Query Example: The number of movie roles played by the actors of the 80's classic "The Princess Bride". Query variable `pbActors` matches the UIDs of all actors from the movie. Value variable `roles` is thus a map from actor UID to number of roles. Value variable `roles` can be used in the `totalRoles` query block because that query block also matches the `pbActors` UIDs, so the actor to number of roles map is available. + +{{< runnable >}} +{ + var(func:allofterms(name@en, "The Princess Bride")) { + starring { + pbActors as performance.actor { + roles as count(actor.film) + } + } + } + totalRoles(func: uid(pbActors), orderasc: val(roles)) { + name@en + numRoles : val(roles) + } +} +{{< /runnable >}} + + +Value variables can be used in place of UID variables by extracting the UID list from the map. + +Query Example: The same query as the previous example, but using value variable `roles` for matching UIDs in the `totalRoles` query block. + +{{< runnable >}} +{ + var(func:allofterms(name@en, "The Princess Bride")) { + starring { + performance.actor { + roles as count(actor.film) + } + } + } + totalRoles(func: uid(roles), orderasc: val(roles)) { + name@en + numRoles : val(roles) + } +} +{{< /runnable >}} + + +## Variable Propagation + +Like query variables, value variables can be used in other query blocks and in blocks nested within the defining block. When used in a block nested within the block that defines the variable, the value is computed as a sum of the variable for parent nodes along all paths to the point of use. This is called variable propagation. + +For example: +``` +{ + q(func: uid(0x01)) { + myscore as math(1) # A + friends { # B + friends { # C + ...myscore... + } + } + } +} +``` +At line A, a value variable `myscore` is defined as mapping node with UID `0x01` to value 1. At B, the value for each friend is still 1: there is only one path to each friend. Traversing the friend edge twice reaches the friends of friends. The variable `myscore` gets propagated such that each friend of friend will receive the sum of its parents values: if a friend of a friend is reachable from only one friend, the value is still 1, if they are reachable from two friends, the value is two and so on. That is, the value of `myscore` for each friend of friends inside the block marked C will be the number of paths to them. + +**The value that a node receives for a propagated variable is the sum of the values of all its parent nodes.** + +This propagation is useful, for example, in normalizing a sum across users, finding the number of paths between nodes and accumulating a sum through a graph. + + + +Query Example: For each Harry Potter movie, the number of roles played by actor Warwick Davis. +{{< runnable >}} +{ + num_roles(func: eq(name@en, "Warwick Davis")) @cascade @normalize { + + paths as math(1) # records number of paths to each character + + actor : name@en + + actor.film { + performance.film @filter(allofterms(name@en, "Harry Potter")) { + film_name : name@en + characters : math(paths) # how many paths (i.e. characters) reach this film + } + } + } +} +{{< /runnable >}} + + +Query Example: Each actor who has been in a Peter Jackson movie and the fraction of Peter Jackson movies they have appeared in. +{{< runnable >}} +{ + movie_fraction(func:eq(name@en, "Peter Jackson")) @normalize { + + paths as math(1) + total_films : num_films as count(director.film) + director : name@en + + director.film { + starring { + performance.actor { + fraction : math(paths / (num_films/paths)) + actor : name@en + } + } + } + } +} +{{< /runnable >}} + +More examples can be found in two Dgraph blog posts about using variable propagation for recommendation engines ([post 1](https://open.dgraph.io/post/recommendation/), [post 2](https://open.dgraph.io/post/recommendation2/)). \ No newline at end of file diff --git a/wiki/content/releases/_index.md b/wiki/content/releases/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/releases/index.md b/wiki/content/releases/index.md index 8dc6124c7a6..4d2819c4c1f 100644 --- a/wiki/content/releases/index.md +++ b/wiki/content/releases/index.md @@ -1,5 +1,10 @@ +++ title = "Dgraph Releases" +[menu.main] + url = "/releases/" + name = "Releases" + identifier = "releases" + weight = 14 +++ Dgraph releases starting with v20.03 follow [calendar versioning](https://calver.org). diff --git a/wiki/content/tips/_index.md b/wiki/content/tips/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/tips/index.md b/wiki/content/tips/index.md index 96320febc72..86792d64732 100644 --- a/wiki/content/tips/index.md +++ b/wiki/content/tips/index.md @@ -1,5 +1,9 @@ +++ title = "GraphQL+-: Tips and Tricks" +[menu.main] + url = "/tips/" + identifier = "tips" + weight = 5 +++ ## Get Sample Data @@ -58,9 +62,9 @@ Use the `has` function among the value variables to search on non-indexed predic ## Sort edge by nested node values -Dgraph [sorting]({{< relref "query-language/index.md#sorting" >}}) is based on a single +Dgraph [sorting]({{< relref "query-language/sorting.md" >}}) is based on a single level of the subgraph. To sort a level by the values of a deeper level, use -[query variables]({{< relref "query-language/index.md#query-variables" >}}) to bring +[query variables]({{< relref "query-language/query-variables.md" >}}) to bring nested values up to the level of the edge to be sorted. Example: Get all actors from a Steven Spielberg movie sorted alphabetically. diff --git a/wiki/content/tutorial-1/_index.md b/wiki/content/tutorial-1/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/tutorial-2/_index.md b/wiki/content/tutorial-2/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/tutorial-3/_index.md b/wiki/content/tutorial-3/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/tutorial-4/_index.md b/wiki/content/tutorial-4/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/tutorial-5/_index.md b/wiki/content/tutorial-5/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/tutorial-6/_index.md b/wiki/content/tutorial-6/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/tutorial-7/_index.md b/wiki/content/tutorial-7/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/tutorial-8/_index.md b/wiki/content/tutorial-8/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/tutorial-8/index.md b/wiki/content/tutorial-8/index.md index d252a8a8400..4e116eeaa13 100644 --- a/wiki/content/tutorial-8/index.md +++ b/wiki/content/tutorial-8/index.md @@ -1667,11 +1667,11 @@ our newsletter to get the latest tutorial right into your inbox. ## What's Next? -- Go to [Clients]({{< relref "clients/index.md" >}}) to see how to communicate +- Go to [Clients]({{< relref "clients/_index.md" >}}) to see how to communicate with Dgraph from your application. - Take the [Tour](https://dgraph.io/tour/) for a guided tour of how to write queries in Dgraph. -- A wider range of queries can also be found in the [Query Language]({{< relref "query-language/index.md" >}}) reference. -- See [Deploy]({{< relref "deploy/index.md" >}}) if you wish to run Dgraph +- A wider range of queries can also be found in the [Query Language]({{< relref "query-language/_index.md" >}}) reference. +- See [Deploy]({{< relref "deploy/_index.md" >}}) if you wish to run Dgraph in a cluster. ## Need Help diff --git a/wiki/content/tutorials/_index.md b/wiki/content/tutorials/_index.md deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/wiki/content/tutorials/index.md b/wiki/content/tutorials/index.md index 35a0e7aaa7e..c138ec3b1b8 100644 --- a/wiki/content/tutorials/index.md +++ b/wiki/content/tutorials/index.md @@ -1,5 +1,10 @@ +++ title = "Tutorials - Get Started with Dgraph series" +[menu.main] + url = "/tutorials" + name = "Tutorials" + identifier = "tutorials" + weight = 3 +++ {{% notice "note" %}} @@ -114,11 +119,11 @@ single page quickstart guide [here]({{< relref "get-started/index.md" >}}). ## Where to go from here -- Go to [Clients]({{< relref "clients/index.md" >}}) to see how to communicate +- Go to [Clients]({{< relref "clients/_index.md" >}}) to see how to communicate with Dgraph from your application. - Take the [Tour](https://dgraph.io/tour/) for a guided tour of how to write queries in Dgraph. -- A wider range of queries can also be found in the [Query Language]({{< relref "query-language/index.md" >}}) reference. -- See [Deploy]({{< relref "deploy/index.md" >}}) if you wish to run Dgraph +- A wider range of queries can also be found in the [Query Language]({{< relref "query-language/_index.md" >}}) reference. +- See [Deploy]({{< relref "deploy/_index.md" >}}) if you wish to run Dgraph in a cluster. ## Need Help diff --git a/wiki/docker-compose.yml b/wiki/docker-compose.yml new file mode 100644 index 00000000000..dedccee1977 --- /dev/null +++ b/wiki/docker-compose.yml @@ -0,0 +1,9 @@ +version: "3.8" +services: + nginx: + image: nginx:1.19.0 + volumes: + - "./public:/home/ubuntu/dgraph/wiki/public:ro" + - "./nginx/docs.conf:/etc/nginx/conf.d/default.conf:ro" + ports: + - 80:80 diff --git a/wiki/nginx/docs.conf b/wiki/nginx/docs.conf index 875793edf7d..2f061683327 100644 --- a/wiki/nginx/docs.conf +++ b/wiki/nginx/docs.conf @@ -1,6 +1,5 @@ server { listen 80; - server_name docs.dgraph.io; # TODO: Need to check if we still need this - if so, need to change to dgraph.io/docs/ root /home/ubuntu/dgraph/wiki/public; add_header Cache-Control "no-cache"; rewrite ^/v0.7.4/deploy$ https://dgraph.io/docs/deploy permanent; @@ -12,6 +11,19 @@ server { rewrite ^/v0.7.6/query-language$ https://dgraph.io/docs/query-language permanent; rewrite ^/v0.7.7/query-language$ https://dgraph.io/docs/query-language permanent; rewrite ^/v0.8.3/query-language$ https://dgraph.io/docs/query-language permanent; + + rewrite ^(/v20.03.4/((query-language)|(mutations)|(clients)|(deploy)|(enterprise-features)|(howto)|(design-concepts)))/(.*)$ $1 redirect; + + rewrite ^(/v20.03.3/((query-language)|(mutations)|(clients)|(deploy)|(enterprise-features)|(howto)|(design-concepts)))/(.*)$ $1 redirect; + + rewrite ^(/v20.03.2/((query-language)|(mutations)|(clients)|(deploy)|(enterprise-features)|(howto)|(design-concepts)))/(.*)$ $1 redirect; + + rewrite ^(/v20.03.1/((query-language)|(mutations)|(clients)|(deploy)|(enterprise-features)|(howto)|(design-concepts)))/(.*)$ $1 redirect; + + rewrite ^(/v20.03.0/((query-language)|(mutations)|(clients)|(deploy)|(enterprise-features)|(howto)|(design-concepts)))/(.*)$ $1 redirect; + + rewrite ^(/v1.*/((query-language)|(mutations)|(clients)|(deploy)|(enterprise-features)|(howto)|(design-concepts)))/(.*)$ $1 redirect; + location / { try_files $uri $uri/index.html /404.html; } diff --git a/wiki/scripts/build.sh b/wiki/scripts/build.sh index 21b66e9fda9..f9b858e109f 100755 --- a/wiki/scripts/build.sh +++ b/wiki/scripts/build.sh @@ -18,6 +18,8 @@ PUBLIC="${PUBLIC:-public}" LOOP="${LOOP:-true}" # Binary of hugo command to run. HUGO="${HUGO:-hugo}" +OLD_THEME="old-theme" +NEW_THEME="master" # TODO - Maybe get list of released versions from Github API and filter # those which have docs. @@ -26,9 +28,16 @@ HUGO="${HUGO:-hugo}" # append '(latest)' to the version string, followed by the master version, # and then the older versions in descending order, such that the # build script can place the artifact in an appropriate location. -VERSIONS_ARRAY=( - 'v20.03.4' + + +# these versions use new theme +NEW_VERSIONS=( 'master' +) + +# these versions use old theme +OLD_VERSIONS=( + 'v20.03.4' 'v20.03.3' 'v20.03.1' 'v20.03.0' @@ -52,6 +61,8 @@ VERSIONS_ARRAY=( 'v1.0.6' ) +VERSIONS_ARRAY=("${NEW_VERSIONS[@]}" "${OLD_VERSIONS[@]}") + joinVersions() { versions=$(printf ",%s" "${VERSIONS_ARRAY[@]}") echo "${versions:1}" @@ -139,21 +150,42 @@ while true; do currentBranch=$(git rev-parse --abbrev-ref HEAD) - # Lets check if the theme was updated. + if [ "$firstRun" = 1 ]; + then + # clone the hugo-docs theme if not already there + [ ! -d 'themes/hugo-docs' ] && git clone https://github.com/dgraph-io/hugo-docs themes/hugo-docs + fi + + # Lets check if the new theme was updated. pushd themes/hugo-docs > /dev/null git remote update > /dev/null themeUpdated=1 - if branchUpdated "master" ; then + if branchUpdated "${NEW_THEME}" ; then echo -e "$(date) $GREEN Theme has been updated. Now will update the docs.$RESET" themeUpdated=0 fi popd > /dev/null - # Now lets check the theme. echo -e "$(date) Starting to check branches." git remote update > /dev/null - for version in "${VERSIONS_ARRAY[@]}" + for version in "${NEW_VERSIONS[@]}" + do + checkAndUpdate "$version" + done + + # Lets check if the old theme was updated. + pushd themes/hugo-docs > /dev/null + themeUpdated=1 + if branchUpdated "${OLD_THEME}" ; then + echo -e "$(date) $GREEN Theme has been updated. Now will update the docs.$RESET" + themeUpdated=0 + fi + popd > /dev/null + + git remote update > /dev/null + + for version in "${OLD_VERSIONS[@]}" do checkAndUpdate "$version" done diff --git a/wiki/scripts/docker.sh b/wiki/scripts/docker.sh new file mode 100755 index 00000000000..19cd4efaae4 --- /dev/null +++ b/wiki/scripts/docker.sh @@ -0,0 +1,11 @@ +#!/bin/bash +cd "$(dirname "$0")" || exit + +export HUGO_CANONIFYURLS=false +HOST="http://localhost/docs" \ + PUBLIC="./public/docs" \ + LOOP=false \ + ./build.sh + +cd .. +docker-compose up From 665a54507fccdeebc013c0e938bed2d0c53521d2 Mon Sep 17 00:00:00 2001 From: Daniel Mai Date: Tue, 4 Aug 2020 13:34:31 -0700 Subject: [PATCH 039/151] docs(build): Set v20.07 docs as latest. (#6132) --- wiki/scripts/build.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/wiki/scripts/build.sh b/wiki/scripts/build.sh index f9b858e109f..b568d417b3b 100755 --- a/wiki/scripts/build.sh +++ b/wiki/scripts/build.sh @@ -29,9 +29,9 @@ NEW_THEME="master" # and then the older versions in descending order, such that the # build script can place the artifact in an appropriate location. - # these versions use new theme NEW_VERSIONS=( + 'v20.07' 'master' ) From 9d7fc94c4c1e712cf6090581e7d35290c77b6d18 Mon Sep 17 00:00:00 2001 From: Martin Martinez Rivera Date: Tue, 4 Aug 2020 14:51:36 -0700 Subject: [PATCH 040/151] fix(Dgraph): Don't store start_ts in postings. (#6127) Clear out the start_ts field in the postings of deltas before they are marshalled to avoid storing that field in disk. This field is only meant to be used during in-memory processing. Related to https://discuss.dgraph.io/t/start-ts-not-being-cleared-before-postings-are-written-to-disk/9146 --- posting/list.go | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/posting/list.go b/posting/list.go index 22599176133..f3eca17c2a2 100644 --- a/posting/list.go +++ b/posting/list.go @@ -521,6 +521,9 @@ func (l *List) getMutation(startTs uint64) []byte { l.RLock() defer l.RUnlock() if pl, ok := l.mutationMap[startTs]; ok { + for _, p := range pl.GetPostings() { + p.StartTs = 0 + } data, err := pl.Marshal() x.Check(err) return data @@ -588,6 +591,7 @@ func (l *List) pickPostings(readTs uint64) (uint64, []*pb.Posting) { deleteBelowTs = effectiveTs continue } + mpost.StartTs = startTs posts = append(posts, mpost) } } From aca09216f0cfa5a125a81235127285d45e2fe546 Mon Sep 17 00:00:00 2001 From: parasssh Date: Tue, 4 Aug 2020 15:28:17 -0700 Subject: [PATCH 041/151] fix(rollups): rollup a batch if more than 2 seconds elapsed since last batch (#6118) --- posting/mvcc.go | 46 ++++++++++++++++++++++++++++++---------------- 1 file changed, 30 insertions(+), 16 deletions(-) diff --git a/posting/mvcc.go b/posting/mvcc.go index c15b8744618..2f5b3d0a9d1 100644 --- a/posting/mvcc.go +++ b/posting/mvcc.go @@ -112,6 +112,28 @@ func (ir *incrRollupi) Process(closer *y.Closer) { defer limiter.Stop() cleanupTick := time.NewTicker(5 * time.Minute) defer cleanupTick.Stop() + forceRollupTick := time.NewTicker(2 * time.Second) + defer forceRollupTick.Stop() + + var batch *[][]byte + + doRollup := func() { + currTs := time.Now().Unix() + for _, key := range *batch { + hash := z.MemHash(key) + if elem := m[hash]; currTs-elem >= 10 { + // Key not present or Key present but last roll up was more than 10 sec ago. + // Add/Update map and rollup. + m[hash] = currTs + if err := ir.rollUpKey(writer, key); err != nil { + glog.Warningf("Error %v rolling up key %v\n", err, key) + } + } + } + // clear the batch and put it back in Sync keysPool + *batch = (*batch)[:0] + ir.keysPool.Put(batch) + } for { select { @@ -125,23 +147,15 @@ func (ir *incrRollupi) Process(closer *y.Closer) { delete(m, hash) } } - case batch := <-ir.keysCh: - currTs := time.Now().Unix() - for _, key := range *batch { - hash := z.MemHash(key) - if elem := m[hash]; currTs-elem >= 10 { - // Key not present or Key present but last roll up was more than 10 sec ago. - // Add/Update map and rollup. - m[hash] = currTs - if err := ir.rollUpKey(writer, key); err != nil { - glog.Warningf("Error %v rolling up key %v\n", err, key) - } - } + case <-forceRollupTick.C: + batch = ir.keysPool.Get().(*[][]byte) + if len(*batch) > 0 { + doRollup() + } else { + ir.keysPool.Put(batch) } - // clear the batch and put it back in Sync keysPool - *batch = (*batch)[:0] - ir.keysPool.Put(batch) - + case batch = <-ir.keysCh: + doRollup() // throttle to 1 batch = 64 rollups per 100 ms. <-limiter.C } From e199e55066802ecfb3b9adf9a9f3285e5d45defb Mon Sep 17 00:00:00 2001 From: ahsanbarkati Date: Thu, 6 Aug 2020 17:08:30 +0530 Subject: [PATCH 042/151] fix(dgraph): Fixes misleading error about invalid hostname (#6037) The issue was that when starting alpha with `--my` option and the port is not specified, or the port is invalid, or in general if there is any issue with the format of `hostname:port` then the same error was logged as "hostname is not valid" This change improves this error log by logging the exact reason about why the hostname:port is not accepted. --- go.sum | 1 + worker/groups.go | 3 +-- x/x.go | 15 +++++++++------ x/x_test.go | 40 ++++++++++++++++++++++++---------------- 4 files changed, 35 insertions(+), 24 deletions(-) diff --git a/go.sum b/go.sum index 59a58118f0d..41a2b47a67f 100644 --- a/go.sum +++ b/go.sum @@ -401,6 +401,7 @@ github.com/spf13/pflag v1.0.3/go.mod h1:DYY7MBk1bdzusC3SYhjObp+wFpr4gzcvqqNjLnIn github.com/spf13/viper v1.3.2 h1:VUFqw5KcqRf7i70GOzW7N+Q7+gxVBkSSqiXB12+JQ4M= github.com/spf13/viper v1.3.2/go.mod h1:ZiWeW+zYFKm7srdB9IoDzzZXaJaI5eL9QjNiN/DMA2s= github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME= +github.com/stretchr/objx v0.1.1 h1:2vfRuCMp5sSVIDSqO8oNnWJq7mPa6KVP3iPIwFBuy8A= github.com/stretchr/objx v0.1.1/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME= github.com/stretchr/testify v1.2.1/go.mod h1:a8OnRcib4nhh0OaRAV+Yts87kKdq0PP7pXfy6kDkUVs= github.com/stretchr/testify v1.2.2/go.mod h1:a8OnRcib4nhh0OaRAV+Yts87kKdq0PP7pXfy6kDkUVs= diff --git a/worker/groups.go b/worker/groups.go index 690c702c6c2..ac4f4b0156c 100644 --- a/worker/groups.go +++ b/worker/groups.go @@ -79,8 +79,7 @@ func StartRaftNodes(walStore *badger.DB, bindall bool) { x.WorkerConfig.MyAddr = fmt.Sprintf("localhost:%d", workerPort()) } else { // check if address is valid or not - ok := x.ValidateAddress(x.WorkerConfig.MyAddr) - x.AssertTruef(ok, "%s is not valid address", x.WorkerConfig.MyAddr) + x.Check(x.ValidateAddress(x.WorkerConfig.MyAddr)) if !bindall { glog.Errorln("--my flag is provided without bindall, Did you forget to specify bindall?") } diff --git a/x/x.go b/x/x.go index 53db9638dee..affbc1167da 100644 --- a/x/x.go +++ b/x/x.go @@ -572,22 +572,25 @@ func PageRange(count, offset, n int) (int, int) { } // ValidateAddress checks whether given address can be used with grpc dial function -func ValidateAddress(addr string) bool { +func ValidateAddress(addr string) error { host, port, err := net.SplitHostPort(addr) if err != nil { - return false + return err } if p, err := strconv.Atoi(port); err != nil || p <= 0 || p >= 65536 { - return false + return errors.Errorf("Invalid port: %v", p) } if ip := net.ParseIP(host); ip != nil { - return true + return nil } // try to parse as hostname as per hostname RFC if len(strings.Replace(host, ".", "", -1)) > 255 { - return false + return errors.Errorf("Hostname should be less than or equal to 255 characters") + } + if !regExpHostName.MatchString(host) { + return errors.Errorf("Invalid hostname: %v", host) } - return regExpHostName.MatchString(host) + return nil } // RemoveDuplicates sorts the slice of strings and removes duplicates. changes the input slice. diff --git a/x/x_test.go b/x/x_test.go index b5d49a15084..90bf0e9052c 100644 --- a/x/x_test.go +++ b/x/x_test.go @@ -66,19 +66,23 @@ func TestValidateAddress(t *testing.T) { testData := []struct { name string address string - isValid bool + err string }{ - {"Valid without port", "190.0.0.1", false}, - {"Valid with port", "192.5.32.1:333", true}, - {"Invalid without port", "12.0.0", false}, + {"Valid without port", "190.0.0.1", "address 190.0.0.1: missing port in address"}, + {"Valid with port", "192.5.32.1:333", ""}, + {"Invalid without port", "12.0.0", "address 12.0.0: missing port in address"}, // the following test returns true because 12.0.0 is considered as valid // hostname - {"Invalid with port", "12.0.0:3333", true}, + {"Valid with port", "12.0.0:3333", ""}, + {"Invalid port", "190.0.0.1:222222", "Invalid port: 222222"}, } - for _, subtest := range testData { - st := subtest + for _, st := range testData { t.Run(st.name, func(t *testing.T) { - require.Equal(t, st.isValid, ValidateAddress(st.address)) + if len(st.err) != 0 { + require.EqualError(t, ValidateAddress(st.address), st.err) + } else { + require.NoError(t, ValidateAddress(st.address)) + } }) } @@ -87,17 +91,21 @@ func TestValidateAddress(t *testing.T) { testData := []struct { name string address string - isValid bool + err string }{ - {"Valid without port", "[2001:db8::1]", false}, - {"Valid with port", "[2001:db8::1]:8888", true}, - {"Invalid without port", "[2001:db8]", false}, - {"Invalid with port", "[2001:db8]:2222", false}, + {"Valid without port", "[2001:db8::1]", "address [2001:db8::1]: missing port in address"}, + {"Valid with port", "[2001:db8::1]:8888", ""}, + {"Invalid without port", "[2001:db8]", "address [2001:db8]: missing port in address"}, + {"Invalid with port", "[2001:db8]:2222", "Invalid hostname: 2001:db8"}, + {"Invalid port", "[2001:db8::1]:222222", "Invalid port: 222222"}, } - for _, subtest := range testData { - st := subtest + for _, st := range testData { t.Run(st.name, func(t *testing.T) { - require.Equal(t, st.isValid, ValidateAddress(st.address)) + if len(st.err) != 0 { + require.EqualError(t, ValidateAddress(st.address), st.err) + } else { + require.NoError(t, ValidateAddress(st.address)) + } }) } }) From bb8e4b9d5456cc05a1abd15933b95881ca8e156b Mon Sep 17 00:00:00 2001 From: Pawan Rawal Date: Thu, 6 Aug 2020 17:50:07 +0530 Subject: [PATCH 043/151] fix(GraphQL): Fix getType queries when id was used as a name for types other than ID (#6130) For the schema type Tweets { id: String! @id score: Int } getTweets query was not being properly re-written. This is because we were using the name id to signify that a field is of type ID instead of the type ID itself. That has been fixed now. So getTweets would work if the field was named anything. query MyQuery { getTweets(id: "1286891968727982081") { score id } } --- graphql/resolve/query_test.yaml | 20 ++++++++++++++++++-- graphql/resolve/schema.graphql | 5 +++++ graphql/schema/wrappers.go | 16 ++++++++++++---- 3 files changed, 35 insertions(+), 6 deletions(-) diff --git a/graphql/resolve/query_test.yaml b/graphql/resolve/query_test.yaml index 001198bc580..1912632b74b 100644 --- a/graphql/resolve/query_test.yaml +++ b/graphql/resolve/query_test.yaml @@ -1326,7 +1326,7 @@ } } } - dgquery: | + dgquery: |- query { getPost(func: uid(0x1)) @filter(type(Post)) { postID : uid @@ -1338,4 +1338,20 @@ url : Comment.url } } - } \ No newline at end of file + } +- name: "getType by id should work" + gqlquery: |- + query { + getTweets(id: "1286891968727982081") { + score + id + } + } + dgquery: |- + query { + getTweets(func: eq(Tweets.id, "1286891968727982081")) @filter(type(Tweets)) { + score : Tweets.score + id : Tweets.id + dgraph.uid : uid + } + } diff --git a/graphql/resolve/schema.graphql b/graphql/resolve/schema.graphql index 806b2cf47bc..c3e0797565f 100644 --- a/graphql/resolve/schema.graphql +++ b/graphql/resolve/schema.graphql @@ -239,3 +239,8 @@ type Y implements X @auth( ){ userRole: String @search(by: [hash]) } + +type Tweets { + id: String! @id + score: Int +} \ No newline at end of file diff --git a/graphql/schema/wrappers.go b/graphql/schema/wrappers.go index 9cecae14236..fb5d402fdb2 100644 --- a/graphql/schema/wrappers.go +++ b/graphql/schema/wrappers.go @@ -88,7 +88,6 @@ const ( HTTPMutation MutationType = "http" NotSupportedMutation MutationType = "notsupported" IDType = "ID" - IDArgName = "id" InputArgName = "input" FilterArgName = "filter" ) @@ -742,8 +741,17 @@ func (f *field) HasCustomDirective() (bool, map[string]bool) { func (f *field) XIDArg() string { xidArgName := "" passwordField := f.Type().PasswordField() - for _, arg := range f.field.Arguments { - if arg.Name != IDArgName && (passwordField == nil || + + args := f.field.Definition.Arguments + if len(f.field.Definition.Arguments) == 0 { + // For acl endpoints like getCurrentUser which redirects to getUser resolver, the field + // definition doesn't change and hence we can't find the arguments for getUser. As a + // fallback, we get the args from the query field arguments in that case. + args = f.op.inSchema.schema.Query.Fields.ForName(f.Name()).Arguments + } + + for _, arg := range args { + if arg.Type.Name() != IDType && (passwordField == nil || arg.Name != passwordField.Name()) { xidArgName = arg.Name } @@ -1639,7 +1647,7 @@ func (t *astType) Interfaces() []string { // satisfy a valid post. func (t *astType) EnsureNonNulls(obj map[string]interface{}, exclusion string) error { for _, fld := range t.inSchema.schema.Types[t.Name()].Fields { - if fld.Type.NonNull && !isID(fld) && !(fld.Name == exclusion) { + if fld.Type.NonNull && !isID(fld) && fld.Name != exclusion { if val, ok := obj[fld.Name]; !ok || val == nil { return errors.Errorf( "type %s requires a value for field %s, but no value present", From 885ef676fb3b6ab3ab1005ff539a1002e638c802 Mon Sep 17 00:00:00 2001 From: Ibrahim Jarif Date: Thu, 6 Aug 2020 22:36:14 +0530 Subject: [PATCH 044/151] fix(bulk loader): Remove redundant option set (#6119) The compression level is set in the `setBadgerOptions` function and setting `compressionLevel` before calling that function is a no-op since we will overwrite the value in the `setBadgerOptions` function. This PR removes the redundant setting of the option. --- dgraph/cmd/bulk/reduce.go | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dgraph/cmd/bulk/reduce.go b/dgraph/cmd/bulk/reduce.go index 880f3242699..82cabbcdea0 100644 --- a/dgraph/cmd/bulk/reduce.go +++ b/dgraph/cmd/bulk/reduce.go @@ -131,7 +131,7 @@ func (r *reducer) createBadgerInternal(dir string, compression bool) *badger.DB opt := badger.DefaultOptions(dir).WithSyncWrites(false). WithTableLoadingMode(bo.MemoryMap).WithValueThreshold(1 << 10 /* 1 KB */). WithLogger(nil).WithMaxCacheSize(1 << 20). - WithEncryptionKey(r.opt.EncryptionKey).WithCompression(bo.None) + WithEncryptionKey(r.opt.EncryptionKey) // Overwrite badger options based on the options provided by the user. r.setBadgerOptions(&opt, compression) From fa013db935cdc64ca5eb31139057528d83751a3b Mon Sep 17 00:00:00 2001 From: Martin Martinez Rivera Date: Thu, 6 Aug 2020 16:05:28 -0700 Subject: [PATCH 045/151] fix(Dgraph): Perform rollups more aggresively. (#6143) - Reduce batch size to 16. - Force a rollup to happen every 500ms instead of 2s. Related to DGRAPH-2202 --- posting/mvcc.go | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/posting/mvcc.go b/posting/mvcc.go index 2f5b3d0a9d1..cc575e5d31c 100644 --- a/posting/mvcc.go +++ b/posting/mvcc.go @@ -86,7 +86,7 @@ func (ir *incrRollupi) rollUpKey(writer *TxnWriter, key []byte) error { func (ir *incrRollupi) addKeyToBatch(key []byte) { batch := ir.keysPool.Get().(*[][]byte) *batch = append(*batch, key) - if len(*batch) < 64 { + if len(*batch) < 16 { ir.keysPool.Put(batch) return } @@ -112,7 +112,7 @@ func (ir *incrRollupi) Process(closer *y.Closer) { defer limiter.Stop() cleanupTick := time.NewTicker(5 * time.Minute) defer cleanupTick.Stop() - forceRollupTick := time.NewTicker(2 * time.Second) + forceRollupTick := time.NewTicker(500 * time.Millisecond) defer forceRollupTick.Stop() var batch *[][]byte From 898a8f32527a8a2726ea9f9e803c519b153a052d Mon Sep 17 00:00:00 2001 From: Balaji Jinnah Date: Fri, 7 Aug 2020 12:44:15 +0530 Subject: [PATCH 046/151] feat(dgraph): Add suport for RDF query. (#6038) --- edgraph/server.go | 2 + go.mod | 2 +- go.sum | 4 +- query/common_test.go | 14 +++ query/outputrdf.go | 236 +++++++++++++++++++++++++++++++++++++++ query/rdf_result_test.go | 205 ++++++++++++++++++++++++++++++++++ 6 files changed, 460 insertions(+), 3 deletions(-) create mode 100644 query/outputrdf.go create mode 100644 query/rdf_result_test.go diff --git a/edgraph/server.go b/edgraph/server.go index b46494c89bc..f683cb861fb 100644 --- a/edgraph/server.go +++ b/edgraph/server.go @@ -1074,6 +1074,8 @@ func processQuery(ctx context.Context, qc *queryContext) (*api.Response, error) respMap["types"] = formatTypes(er.Types) } resp.Json, err = json.Marshal(respMap) + } else if qc.req.RespFormat == api.Request_RDF { + resp.Rdf, err = query.ToRDF(qc.latency, er.Subgraphs) } else { resp.Json, err = query.ToJson(qc.latency, er.Subgraphs) } diff --git a/go.mod b/go.mod index a3d0573f9f6..ea3143419af 100644 --- a/go.mod +++ b/go.mod @@ -17,7 +17,7 @@ require ( github.com/blevesearch/snowballstem v0.0.0-20180110192139-26b06a2c243d // indirect github.com/codahale/hdrhistogram v0.0.0-20161010025455-3a0bb77429bd github.com/dgraph-io/badger/v2 v2.0.1-rc1.0.20200718033852-37ee16d8ad1c - github.com/dgraph-io/dgo/v200 v200.0.0-20200401175452-e463f9234453 + github.com/dgraph-io/dgo/v200 v200.0.0-20200805103119-a3544c464dd6 github.com/dgraph-io/graphql-transport-ws v0.0.0-20200715131837-c0460019ead2 github.com/dgraph-io/ristretto v0.0.3-0.20200630154024-f66de99634de github.com/dgrijalva/jwt-go v3.2.0+incompatible diff --git a/go.sum b/go.sum index 41a2b47a67f..572c96d067d 100644 --- a/go.sum +++ b/go.sum @@ -80,8 +80,8 @@ github.com/dgraph-io/badger v1.6.0 h1:DshxFxZWXUcO0xX476VJC07Xsr6ZCBVRHKZ93Oh7Ev github.com/dgraph-io/badger v1.6.0/go.mod h1:zwt7syl517jmP8s94KqSxTlM6IMsdhYy6psNgSztDR4= github.com/dgraph-io/badger/v2 v2.0.1-rc1.0.20200718033852-37ee16d8ad1c h1:LoEZfU53r3H1et4WY9M0h1c3fuCljBnn3pk/7TB5eWY= github.com/dgraph-io/badger/v2 v2.0.1-rc1.0.20200718033852-37ee16d8ad1c/go.mod h1:26P/7fbL4kUZVEVKLAKXkBXKOydDmM2p1e+NhhnBCAE= -github.com/dgraph-io/dgo/v200 v200.0.0-20200401175452-e463f9234453 h1:DTgOrw91nMIukDm/WEvdobPLl0LgeDd/JE66+24jBks= -github.com/dgraph-io/dgo/v200 v200.0.0-20200401175452-e463f9234453/go.mod h1:Co+FwJrnndSrPORO8Gdn20dR7FPTfmXr0W/su0Ve/Ig= +github.com/dgraph-io/dgo/v200 v200.0.0-20200805103119-a3544c464dd6 h1:toHzMCdCUgYsjM0cW9+wafnKFXfp1HizIJUyzihN+vk= +github.com/dgraph-io/dgo/v200 v200.0.0-20200805103119-a3544c464dd6/go.mod h1:rHa+h3kI4M8ASOirxyIyNeXBfHFgeskVUum2OrDMN3U= github.com/dgraph-io/graphql-transport-ws v0.0.0-20200715131837-c0460019ead2 h1:NSl3XXyON9bgmBJSAvr5FPrgILAovtoTs7FwdtaZZq0= github.com/dgraph-io/graphql-transport-ws v0.0.0-20200715131837-c0460019ead2/go.mod h1:7z3c/5w0sMYYZF5bHsrh8IH4fKwG5O5Y70cPH1ZLLRQ= github.com/dgraph-io/ristretto v0.0.3-0.20200630154024-f66de99634de h1:t0UHb5vdojIDUqktM6+xJAfScFBsVpXZmqC9dsgJmeA= diff --git a/query/common_test.go b/query/common_test.go index dbcffd0eeae..65ab6b00081 100644 --- a/query/common_test.go +++ b/query/common_test.go @@ -69,6 +69,20 @@ func processQuery(ctx context.Context, t *testing.T, query string) (string, erro return string(jsonResponse), err } +func processQueryRDF(ctx context.Context, t *testing.T, query string) (string, error) { + txn := client.NewTxn() + defer txn.Discard(ctx) + + res, err := txn.Do(ctx, &api.Request{ + Query: query, + RespFormat: api.Request_RDF, + }) + if err != nil { + return "", err + } + return string(res.Rdf), err +} + func processQueryNoErr(t *testing.T, query string) string { res, err := processQuery(context.Background(), t, query) require.NoError(t, err) diff --git a/query/outputrdf.go b/query/outputrdf.go new file mode 100644 index 00000000000..6fc364aaeec --- /dev/null +++ b/query/outputrdf.go @@ -0,0 +1,236 @@ +/* + * Copyright 2017-2020 Dgraph Labs, Inc. and Contributors + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package query + +import ( + "bytes" + "fmt" + "strconv" + + "github.com/dgraph-io/dgraph/algo" + "github.com/dgraph-io/dgraph/protos/pb" + "github.com/dgraph-io/dgraph/types" + "github.com/dgraph-io/dgraph/x" + "github.com/pkg/errors" +) + +// rdfBuilder is used to generate RDF from subgraph. +type rdfBuilder struct { + buf *bytes.Buffer +} + +// ToRDF converts the given subgraph list into rdf format. +func ToRDF(l *Latency, sgl []*SubGraph) ([]byte, error) { + b := &rdfBuilder{ + buf: &bytes.Buffer{}, + } + for _, sg := range sgl { + if err := validateSubGraphForRDF(sg); err != nil { + return nil, err + } + // Skip parent graph. we don't want parent values. + for _, child := range sg.Children { + if err := b.castToRDF(child); err != nil { + return nil, err + } + } + } + return b.buf.Bytes(), nil +} + +// castToRDF converts the given subgraph to RDF and appends to the +// output string. +func (b *rdfBuilder) castToRDF(sg *SubGraph) error { + if err := validateSubGraphForRDF(sg); err != nil { + return err + } + if sg.SrcUIDs != nil { + // Get RDF for the given subgraph. + if err := b.rdfForSubgraph(sg); err != nil { + return err + } + } + // Recursively cnvert RDF for the children graph. + for _, child := range sg.Children { + if err := b.castToRDF(child); err != nil { + return err + } + } + return nil +} + +// rdfForSubgraph generates RDF and appends to the output parameter. +func (b *rdfBuilder) rdfForSubgraph(sg *SubGraph) error { + for i, uid := range sg.SrcUIDs.Uids { + if sg.Params.IgnoreResult { + // Skip ignored values. + continue + } + if sg.IsInternal() { + if sg.Params.Expand != "" { + continue + } + // Check if we have val for the given uid. If you got uid then populate + // the rdf. + val, ok := sg.Params.UidToVal[uid] + if !ok && val.Value == nil { + continue + } + outputval, err := getObjectVal(val) + if err != nil { + continue + } + b.writeRDF(uid, []byte(sg.aggWithVarFieldName()), outputval) + continue + } + switch { + case len(sg.counts) > 0: + // Add count rdf. + b.rdfForCount(uid, sg.counts[i], sg) + case i < len(sg.uidMatrix) && len(sg.uidMatrix[i].Uids) != 0: + // Add posting list relation. + b.rdfForUIDList(uid, sg.uidMatrix[i], sg) + case i < len(sg.valueMatrix): + b.rdfForValueList(uid, sg.valueMatrix[i], sg.fieldName()) + } + } + return nil +} + +func (b *rdfBuilder) writeRDF(subject uint64, predicate []byte, object []byte) { + // add subject + b.writeTriple([]byte(fmt.Sprintf("%#x", subject))) + x.Check(b.buf.WriteByte(' ')) + // add predicate + b.writeTriple(predicate) + x.Check(b.buf.WriteByte(' ')) + // add object + x.Check2(b.buf.Write(object)) + x.Check(b.buf.WriteByte(' ')) + x.Check(b.buf.WriteByte('.')) + x.Check(b.buf.WriteByte('\n')) +} + +func (b *rdfBuilder) writeTriple(val []byte) { + x.Check(b.buf.WriteByte('<')) + x.Check2(b.buf.Write(val)) + x.Check(b.buf.WriteByte('>')) +} + +// rdfForCount returns rdf for count fucntion. +func (b *rdfBuilder) rdfForCount(subject uint64, count uint32, sg *SubGraph) { + fieldName := sg.Params.Alias + if fieldName == "" { + fieldName = fmt.Sprintf("count(%s)", sg.Attr) + } + b.writeRDF(subject, []byte(fieldName), + quotedNumber([]byte(strconv.FormatUint(uint64(count), 10)))) +} + +// rdfForUIDList returns rdf for uid list. +func (b *rdfBuilder) rdfForUIDList(subject uint64, list *pb.List, sg *SubGraph) { + for _, destUID := range list.Uids { + if algo.IndexOf(sg.DestUIDs, destUID) < 0 { + // This uid is filtered. + continue + } + // Build object. + b.writeRDF( + subject, + []byte(sg.fieldName()), + buildTriple([]byte(fmt.Sprintf("%#x", destUID)))) + } +} + +// rdfForValueList returns rdf for the value list. +func (b *rdfBuilder) rdfForValueList(subject uint64, valueList *pb.ValueList, attr string) { + if attr == "uid" { + b.writeRDF(subject, + []byte(attr), + buildTriple([]byte(fmt.Sprintf("%#x", subject)))) + return + } + for _, destValue := range valueList.Values { + val, err := convertWithBestEffort(destValue, attr) + if err != nil { + continue + } + outputval, err := getObjectVal(val) + if err != nil { + continue + } + b.writeRDF(subject, []byte(attr), outputval) + } +} + +func getObjectVal(v types.Val) ([]byte, error) { + outputval, err := valToBytes(v) + if err != nil { + return nil, err + } + switch v.Tid { + case types.UidID: + return buildTriple(outputval), nil + case types.IntID: + return quotedNumber(outputval), nil + case types.FloatID: + return quotedNumber(outputval), nil + case types.GeoID: + return nil, errors.New("Geo id is not supported in rdf output") + default: + return outputval, nil + } +} + +func buildTriple(val []byte) []byte { + buf := make([]byte, 0, 2+len(val)) + buf = append(buf, '<') + buf = append(buf, val...) + buf = append(buf, '>') + return buf +} + +func validateSubGraphForRDF(sg *SubGraph) error { + if sg.IsGroupBy() { + return errors.New("groupby is not supported in rdf output format") + } + uidCount := sg.Attr == "uid" && sg.Params.DoCount && sg.IsInternal() + if uidCount { + return errors.New("uid count is not supported in the rdf output format") + } + if sg.Params.Normalize { + return errors.New("normalize directive is not supported in the rdf output format") + } + if sg.Params.IgnoreReflex { + return errors.New("ignorereflex directive is not supported in the rdf output format") + } + if sg.SrcFunc != nil && sg.SrcFunc.Name == "checkpwd" { + return errors.New("chkpwd function is not supported in the rdf output format") + } + if sg.Params.Facet != nil && !sg.Params.ExpandAll { + return errors.New("facets are not supported in the rdf output format") + } + return nil +} + +func quotedNumber(val []byte) []byte { + tmpVal := make([]byte, 0, len(val)+2) + tmpVal = append(tmpVal, '"') + tmpVal = append(tmpVal, val...) + tmpVal = append(tmpVal, '"') + return tmpVal +} diff --git a/query/rdf_result_test.go b/query/rdf_result_test.go new file mode 100644 index 00000000000..e91b5effff6 --- /dev/null +++ b/query/rdf_result_test.go @@ -0,0 +1,205 @@ +/* + * Copyright 2020 Dgraph Labs, Inc. and Contributors + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package query + +import ( + "context" + "testing" + + "github.com/stretchr/testify/require" +) + +func TestRDFResult(t *testing.T) { + query := `{ + friends_15_and_19(func: uid(1)) { + name + friend @filter(ge(age, 15) AND lt(age, 19)) { + name + age + } + } + }` + + rdf, err := processQueryRDF(context.Background(), t, query) + require.NoError(t, err) + require.Equal(t, rdf, `<0x1> "Michonne" . +<0x1> <0x17> . +<0x1> <0x18> . +<0x1> <0x19> . +<0x17> "Rick Grimes" . +<0x18> "Glenn Rhee" . +<0x19> "Daryl Dixon" . +<0x17> "15" . +<0x18> "15" . +<0x19> "17" . +`) +} + +func TestRDFNormalize(t *testing.T) { + query := ` + { + me(func: uid(0x01)) @normalize { + mn: name + gender + friend { + n: name + d: dob + friend { + fn : name + } + } + son { + sn: name + } + } + }` + _, err := processQueryRDF(context.Background(), t, query) + require.Error(t, err, "normalize directive is not supported in the rdf output format") +} + +func TestRDFGroupBy(t *testing.T) { + query := ` + { + me(func: uid(1, 23, 24, 25, 31)) @groupby(age) { + count(uid) + } + }` + _, err := processQueryRDF(context.Background(), t, query) + require.Contains(t, err.Error(), "groupby is not supported in rdf output format") +} + +func TestRDFUidCount(t *testing.T) { + query := ` + { + me(func: gt(count(friend), 0)) { + count(uid) + } + }` + _, err := processQueryRDF(context.Background(), t, query) + require.Contains(t, err.Error(), "uid count is not supported in the rdf output format") +} + +func TestRDFIngoreReflex(t *testing.T) { + query := ` + { + me(func:anyofterms(name, "Michonne Rick Daryl")) @ignoreReflex { + name + friend { + name + friend { + name + } + } + } + }` + _, err := processQueryRDF(context.Background(), t, query) + require.Contains(t, err.Error(), + "ignorereflex directive is not supported in the rdf output format") +} + +func TestRDFCheckPwd(t *testing.T) { + query := ` + { + me(func: uid(0x01)) { + expand(_all_) + checkpwd(password, "12345") + } + } + ` + _, err := processQueryRDF(context.Background(), t, query) + require.Contains(t, err.Error(), + "chkpwd function is not supported in the rdf output format") +} + +func TestRDFPredicateCount(t *testing.T) { + query := ` + { + me(func:anyofterms(name, "Michonne Rick Daryl")) { + name + count(friend) + friend { + name + } + } + } + ` + + rdf, err := processQueryRDF(context.Background(), t, query) + require.NoError(t, err) + require.Equal(t, `<0x1> "Michonne" . +<0x17> "Rick Grimes" . +<0x19> "Daryl Dixon" . +<0x1> "5" . +<0x17> "1" . +<0x19> "0" . +<0x1> <0x17> . +<0x1> <0x18> . +<0x1> <0x19> . +<0x1> <0x1f> . +<0x1> <0x65> . +<0x17> <0x1> . +<0x1> "Michonne" . +<0x17> "Rick Grimes" . +<0x18> "Glenn Rhee" . +<0x19> "Daryl Dixon" . +<0x1f> "Andrea" . +`, rdf) +} + +func TestRDFFacets(t *testing.T) { + query := ` + { + shortest(from: 1, to:1001, numpaths: 4) { + path @facets(weight) + } + }` + _, err := processQueryRDF(context.Background(), t, query) + require.Contains(t, err.Error(), + "facets are not supported in the rdf output format") +} + +func TestDateRDF(t *testing.T) { + query := ` + { + me(func: uid(0x01)) { + name + gender + friend(orderdesc: film.film.initial_release_date) { + name + film.film.initial_release_date + } + } + } + ` + rdf, err := processQueryRDF(context.Background(), t, query) + require.NoError(t, err) + require.Equal(t, rdf, `<0x1> "Michonne" . +<0x1> "female" . +<0x1> <0x19> . +<0x1> <0x18> . +<0x1> <0x17> . +<0x1> <0x1f> . +<0x17> "Rick Grimes" . +<0x18> "Glenn Rhee" . +<0x19> "Daryl Dixon" . +<0x1f> "Andrea" . +<0x17> "1900-01-02T00:00:00Z" . +<0x18> "1909-05-05T00:00:00Z" . +<0x19> "1929-01-10T00:00:00Z" . +<0x1f> "1801-01-15T00:00:00Z" . +`) +} From 37823e9153506f244a89630071253a55b6d4305b Mon Sep 17 00:00:00 2001 From: Jatin Dev <64803093+JatinDevDG@users.noreply.github.com> Date: Fri, 7 Aug 2020 15:12:46 +0530 Subject: [PATCH 047/151] fix(GraphQl): Panic fix when subscription expiry is not present in jwt. (#6129) This PR fixes panic error when expiry is not given in jwt for subscriptions using authorization. --- graphql/e2e/subscription/subscription_test.go | 74 +++++++++++++++++++ graphql/web/http.go | 19 ++--- testutil/graphql.go | 6 +- 3 files changed, 88 insertions(+), 11 deletions(-) diff --git a/graphql/e2e/subscription/subscription_test.go b/graphql/e2e/subscription/subscription_test.go index 5da20a20f12..40ea867520f 100644 --- a/graphql/e2e/subscription/subscription_test.go +++ b/graphql/e2e/subscription/subscription_test.go @@ -427,6 +427,80 @@ func TestSubscriptionWithAuthShouldExpireWithJWT(t *testing.T) { require.Nil(t, res) } +func TestSubscriptionAuthWithoutExpiry(t *testing.T) { + dg, err := testutil.DgraphClient(groupOnegRPC) + require.NoError(t, err) + testutil.DropAll(t, dg) + + add := &common.GraphQLParams{ + Query: `mutation updateGQLSchema($sch: String!) { + updateGQLSchema(input: { set: { schema: $sch }}) { + gqlSchema { + schema + } + } + }`, + Variables: map[string]interface{}{"sch": schAuth}, + } + addResult := add.ExecuteAsPost(t, adminEndpoint) + require.Nil(t, addResult.Errors) + time.Sleep(time.Second * 2) + + metaInfo := &testutil.AuthMeta{ + PublicKey: "secret", + Namespace: "https://dgraph.io", + Algo: "HS256", + Header: "Authorization", + } + metaInfo.AuthVars = map[string]interface{}{ + "USER": "jatin", + "ROLE": "USER", + } + + add = &common.GraphQLParams{ + Query: `mutation{ + addTodo(input: [ + {text : "GraphQL is exciting!!", + owner : "jatin"} + ]) + { + todo{ + text + owner + } + } + }`, + } + + addResult = add.ExecuteAsPost(t, graphQLEndpoint) + require.Nil(t, addResult.Errors) + + jwtToken, err := metaInfo.GetSignedToken("secret", -1) + require.NoError(t, err) + + payload := fmt.Sprintf(`{"Authorization": "%s"}`, jwtToken) + subscriptionClient, err := common.NewGraphQLSubscription(subscriptionEndpoint, &schema.Request{ + Query: `subscription{ + queryTodo{ + owner + text + } + }`, + }, payload) + require.Nil(t, err) + + res, err := subscriptionClient.RecvMsg() + require.NoError(t, err) + + var resp common.GraphQLResponse + err = json.Unmarshal(res, &resp) + require.NoError(t, err) + + require.Nil(t, resp.Errors) + require.JSONEq(t, `{"queryTodo":[{"owner":"jatin","text":"GraphQL is exciting!!"}]}`, + string(resp.Data)) +} + func TestSubscriptionAuth_SameQueryAndClaimsButDifferentExpiry_ShouldExpireIndependently(t *testing.T) { t.Skip() dg, err := testutil.DgraphClient(groupOnegRPC) diff --git a/graphql/web/http.go b/graphql/web/http.go index b53f76b6d6c..7409d5080f5 100644 --- a/graphql/web/http.go +++ b/graphql/web/http.go @@ -20,11 +20,10 @@ import ( "compress/gzip" "context" "encoding/json" - "strconv" - "time" - "github.com/dgrijalva/jwt-go/v4" "google.golang.org/grpc/metadata" + "strconv" + "time" "io" "io/ioutil" @@ -127,13 +126,11 @@ func (gs *graphqlSubscription) Subscribe( // library (graphql-transport-ws) passes the headers which are part of the INIT payload to us in the context. // And we are extracting the Auth JWT from those and passing them along. - - header, _ := ctx.Value("Header").(json.RawMessage) customClaims := &authorization.CustomClaims{ - StandardClaims: jwt.StandardClaims{ - ExpiresAt: jwt.At(time.Time{}), - }, + StandardClaims: jwt.StandardClaims{}, } + header, _ := ctx.Value("Header").(json.RawMessage) + if len(header) > 0 { payload := make(map[string]interface{}) if err := json.Unmarshal(header, &payload); err != nil { @@ -155,7 +152,11 @@ func (gs *graphqlSubscription) Subscribe( } } } - + // for the cases when no expiry is given in jwt or subscription doesn't have any authorization, + // we set their expiry to zero time + if customClaims.StandardClaims.ExpiresAt == nil { + customClaims.StandardClaims.ExpiresAt = jwt.At(time.Time{}) + } req := &schema.Request{ OperationName: operationName, Query: document, diff --git a/testutil/graphql.go b/testutil/graphql.go index 1c17260046c..009f9c81b45 100644 --- a/testutil/graphql.go +++ b/testutil/graphql.go @@ -158,10 +158,12 @@ func (a *AuthMeta) GetSignedToken(privateKeyFile string, a.Namespace, a.AuthVars, jwt.StandardClaims{ - ExpiresAt: jwt.At(time.Now().Add(expireAfter)), - Issuer: "test", + Issuer: "test", }, } + if expireAfter != -1 { + claims.ExpiresAt = jwt.At(time.Now().Add(expireAfter)) + } var signedString string var err error From 3ea5efe5bd94936fcbcc402a330b49e4a6870a2a Mon Sep 17 00:00:00 2001 From: Martin Martinez Rivera Date: Fri, 7 Aug 2020 11:43:08 -0700 Subject: [PATCH 048/151] Queue keys for rollup during mutation. (#6145) Right now, keys are only added for rollups during queries. Keys that only receive queries will not be rolled up until they are queried, which can cause issues and slowness. Fixes DGRAPH-2202 --- posting/list.go | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/posting/list.go b/posting/list.go index f3eca17c2a2..6e0b19ebc39 100644 --- a/posting/list.go +++ b/posting/list.go @@ -326,6 +326,14 @@ func (l *List) updateMutationLayer(mpost *pb.Posting, singleUidUpdate bool) erro l.AssertLock() x.AssertTrue(mpost.Op == Set || mpost.Op == Del) + // Keys are added to the rollup batches here instead of at the point at which the + // transaction is committed because the transaction context does not keep track + // of the badger keys touched by mutations. It's useful to roll up lists even if + // the transaction is eventually aborted. + if len(l.mutationMap) > 0 { + IncrRollup.addKeyToBatch(l.key) + } + // If we have a delete all, then we replace the map entry with just one. if hasDeleteAll(mpost) { plist := &pb.PostingList{} From 223238a2bebaef547d432b72f2192297426ac059 Mon Sep 17 00:00:00 2001 From: Joaquin Menchaca Date: Fri, 7 Aug 2020 12:28:27 -0700 Subject: [PATCH 049/151] chore(compose): Set multiple Zero addresses in Alpha. (#6144) --- compose/compose.go | 39 +++++++++++++++++++++++++++++++++++++-- go.mod | 1 + go.sum | 3 +++ 3 files changed, 41 insertions(+), 2 deletions(-) diff --git a/compose/compose.go b/compose/compose.go index 7f518e8340a..a673b46a7a2 100644 --- a/compose/compose.go +++ b/compose/compose.go @@ -21,7 +21,9 @@ import ( "io/ioutil" "os" "os/user" + "strings" + sv "github.com/Masterminds/semver/v3" "github.com/pkg/errors" "github.com/spf13/cobra" "github.com/spf13/pflag" @@ -198,17 +200,36 @@ func getAlpha(idx int) service { basename := "alpha" internalPort := alphaBasePort + opts.PortOffset + getOffset(idx) grpcPort := internalPort + 1000 - svc := initService(basename, idx, grpcPort) if opts.TmpFS { svc.TmpFS = append(svc.TmpFS, fmt.Sprintf("/data/%s/w", svc.name)) } + isMultiZeros := true + var isInvalidVersion, err = semverCompare("< 1.2.3 || 20.03.0", opts.Tag) + if err != nil || isInvalidVersion { + isMultiZeros = false + } + + maxZeros := 1 + if isMultiZeros { + maxZeros = opts.NumZeros + } + + zeroHostAddr := fmt.Sprintf("zero%d:%d", 1, zeroBasePort+opts.PortOffset) + zeros := []string{zeroHostAddr} + for i := 2; i <= maxZeros; i++ { + zeroHostAddr = fmt.Sprintf("zero%d:%d", i, zeroBasePort+opts.PortOffset+i) + zeros = append(zeros, zeroHostAddr) + } + + zerosOpt := strings.Join(zeros, ",") + svc.Command += fmt.Sprintf(" -o %d", opts.PortOffset+getOffset(idx)) svc.Command += fmt.Sprintf(" --my=%s:%d", svc.name, internalPort) svc.Command += fmt.Sprintf(" --lru_mb=%d", opts.LruSizeMB) - svc.Command += fmt.Sprintf(" --zero=zero1:%d", zeroBasePort+opts.PortOffset) + svc.Command += fmt.Sprintf(" --zero=%s", zerosOpt) svc.Command += fmt.Sprintf(" --logtostderr -v=%d", opts.Verbosity) svc.Command += fmt.Sprintf(" --idx=%d", idx) if opts.WhiteList { @@ -321,6 +342,20 @@ func addMetrics(cfg *composeConfig) { } } +func semverCompare(constraint, version string) (bool, error) { + c, err := sv.NewConstraint(constraint) + if err != nil { + return false, err + } + + v, err := sv.NewVersion(version) + if err != nil { + return false, err + } + + return c.Check(v), nil +} + func fatal(err error) { fmt.Fprintf(os.Stderr, "compose: %v\n", err) os.Exit(1) diff --git a/go.mod b/go.mod index ea3143419af..f9c68deb013 100644 --- a/go.mod +++ b/go.mod @@ -9,6 +9,7 @@ require ( github.com/DataDog/datadog-go v0.0.0-20190425163447-40bafcb5f6c1 // indirect github.com/DataDog/opencensus-go-exporter-datadog v0.0.0-20190503082300-0f32ad59ab08 github.com/DataDog/zstd v1.4.5 // indirect + github.com/Masterminds/semver/v3 v3.1.0 github.com/OneOfOne/xxhash v1.2.5 // indirect github.com/beorn7/perks v1.0.0 // indirect github.com/blevesearch/bleve v0.0.0-20181114232033-e1f5e6cdcd76 diff --git a/go.sum b/go.sum index 572c96d067d..5c0326931ad 100644 --- a/go.sum +++ b/go.sum @@ -22,6 +22,9 @@ github.com/DataDog/zstd v1.4.5 h1:EndNeuB0l9syBZhut0wns3gV1hL8zX8LIu6ZiVHWLIQ= github.com/DataDog/zstd v1.4.5/go.mod h1:1jcaCB/ufaK+sKp1NBhlGmpz41jOoPQ35bpF36t7BBo= github.com/Joker/hpp v1.0.0/go.mod h1:8x5n+M1Hp5hC0g8okX3sR3vFQwynaX/UgSOM9MeBKzY= github.com/Joker/jade v1.0.1-0.20190614124447-d475f43051e7/go.mod h1:6E6s8o2AE4KhCrqr6GRJjdC/gNfTdxkIXvuGZZda2VM= +github.com/Masterminds/semver v1.5.0 h1:H65muMkzWKEuNDnfl9d70GUjFniHKHRbFPGBuZ3QEww= +github.com/Masterminds/semver/v3 v3.1.0 h1:Y2lUDsFKVRSYGojLJ1yLxSXdMmMYTYls0rCvoqmMUQk= +github.com/Masterminds/semver/v3 v3.1.0/go.mod h1:VPu/7SZ7ePZ3QOrcuXROw5FAcLl4a0cBrbBpGY/8hQs= github.com/Nvveen/Gotty v0.0.0-20120604004816-cd527374f1e5/go.mod h1:lmUJ/7eu/Q8D7ML55dXQrVaamCz2vxCfdQBasLZfHKk= github.com/OneOfOne/xxhash v1.2.2/go.mod h1:HSdplMjZKSmBqAxg5vPj2TmRDmfkzw+cTzAElWljhcU= github.com/OneOfOne/xxhash v1.2.5 h1:zl/OfRA6nftbBK9qTohYBJ5xvw6C/oNKizR7cZGl3cI= From d1c3cd751bdf0184dc98cabed1e99c73243e7799 Mon Sep 17 00:00:00 2001 From: Balaji Jinnah Date: Mon, 10 Aug 2020 10:01:19 +0530 Subject: [PATCH 050/151] feat: add metrics cost to grpc and http header (#6148) --- dgraph/cmd/alpha/http.go | 5 ++ dgraph/cmd/alpha/http_test.go | 119 ++++++++++++++++++++++++++++++++++ edgraph/server.go | 9 ++- x/x.go | 1 + 4 files changed, 133 insertions(+), 1 deletion(-) diff --git a/dgraph/cmd/alpha/http.go b/dgraph/cmd/alpha/http.go index 2e64e6f14de..263a4b8277e 100644 --- a/dgraph/cmd/alpha/http.go +++ b/dgraph/cmd/alpha/http.go @@ -21,6 +21,7 @@ import ( "compress/gzip" "context" "encoding/json" + "fmt" "io" "io/ioutil" "net/http" @@ -239,6 +240,8 @@ func queryHandler(w http.ResponseWriter, r *http.Request) { x.SetStatusWithData(w, x.ErrorInvalidRequest, err.Error()) return } + // Add cost to the header. + w.Header().Set(x.DgraphCostHeader, fmt.Sprint(resp.Metrics.NumUids["_total"])) e := query.Extensions{ Txn: resp.Txn, @@ -391,6 +394,8 @@ func mutationHandler(w http.ResponseWriter, r *http.Request) { x.SetStatusWithData(w, x.ErrorInvalidRequest, err.Error()) return } + // Add cost to the header. + w.Header().Set(x.DgraphCostHeader, fmt.Sprint(resp.Metrics.NumUids["_total"])) resp.Latency.ParsingNs = uint64(parseEnd.Sub(parseStart).Nanoseconds()) e := query.Extensions{ diff --git a/dgraph/cmd/alpha/http_test.go b/dgraph/cmd/alpha/http_test.go index b39446a05d3..8d5316fbd9e 100644 --- a/dgraph/cmd/alpha/http_test.go +++ b/dgraph/cmd/alpha/http_test.go @@ -196,6 +196,38 @@ func queryWithTs(queryText, contentType, debug string, ts uint64) (string, uint6 return string(output), startTs, err } +// queryWithTsForResp query the dgraph and returns it's http response and result. +func queryWithTsForResp(queryText, contentType, debug string, ts uint64) (string, + uint64, *http.Response, error) { + params := make([]string, 0, 2) + if debug != "" { + params = append(params, "debug="+debug) + } + if ts != 0 { + params = append(params, fmt.Sprintf("startTs=%v", strconv.FormatUint(ts, 10))) + } + url := addr + "/query?" + strings.Join(params, "&") + + _, body, resp, err := runWithRetriesForResp("POST", contentType, url, queryText) + if err != nil { + return "", 0, resp, err + } + + var r res + if err := json.Unmarshal(body, &r); err != nil { + return "", 0, resp, err + } + startTs := r.Extensions.Txn.StartTs + + // Remove the extensions. + r2 := res{ + Data: r.Data, + } + output, err := json.Marshal(r2) + + return string(output), startTs, resp, err +} + type mutationResponse struct { keys []string preds []string @@ -314,6 +346,61 @@ func runRequest(req *http.Request) (*x.QueryResWithData, []byte, error) { return qr, body, nil } +func runWithRetriesForResp(method, contentType, url string, body string) ( + *x.QueryResWithData, []byte, *http.Response, error) { + + req, err := createRequest(method, contentType, url, body) + if err != nil { + return nil, nil, nil, err + } + + qr, respBody, resp, err := runRequestForResp(req) + if err != nil && strings.Contains(err.Error(), "Token is expired") { + grootAccessJwt, grootRefreshJwt, err = testutil.HttpLogin(&testutil.LoginParams{ + Endpoint: addr + "/admin", + RefreshJwt: grootRefreshJwt, + }) + if err != nil { + return nil, nil, nil, err + } + + // create a new request since the previous request would have been closed upon the err + retryReq, err := createRequest(method, contentType, url, body) + if err != nil { + return nil, nil, resp, err + } + + return runRequestForResp(retryReq) + } + return qr, respBody, resp, err +} + +// attach the grootAccessJWT to the request and sends the http request +func runRequestForResp(req *http.Request) (*x.QueryResWithData, []byte, *http.Response, error) { + client := &http.Client{} + req.Header.Set("X-Dgraph-AccessToken", grootAccessJwt) + resp, err := client.Do(req) + if err != nil { + return nil, nil, resp, err + } + if status := resp.StatusCode; status != http.StatusOK { + return nil, nil, resp, errors.Errorf("Unexpected status code: %v", status) + } + + defer resp.Body.Close() + body, err := ioutil.ReadAll(resp.Body) + if err != nil { + return nil, nil, resp, errors.Errorf("unable to read from body: %v", err) + } + + qr := new(x.QueryResWithData) + json.Unmarshal(body, qr) // Don't check error. + if len(qr.Errors) > 0 { + return nil, nil, resp, errors.New(qr.Errors[0].Message) + } + return qr, body, resp, nil +} + func commitWithTs(keys, preds []string, ts uint64) error { url := addr + "/commit" if ts != 0 { @@ -452,6 +539,38 @@ func TestTransactionBasicNoPreds(t *testing.T) { require.NoError(t, err) require.Equal(t, `{"data":{"balances":[{"name":"Bob","balance":"110"}]}}`, data) } +func TestTransactionForCost(t *testing.T) { + require.NoError(t, dropAll()) + require.NoError(t, alterSchema(`name: string @index(term) .`)) + + q1 := ` + { + balances(func: anyofterms(name, "Alice Bob")) { + name + balance + } + } + ` + _, _, err := queryWithTs(q1, "application/graphql+-", "", 0) + require.NoError(t, err) + + m1 := ` + { + set { + _:alice "Bob" . + _:alice "110" . + _:bob "60" . + } + } + ` + + _, err = mutationWithTs(m1, "application/rdf", false, true, 0) + require.NoError(t, err) + + _, _, resp, err := queryWithTsForResp(q1, "application/graphql+-", "", 0) + require.NoError(t, err) + require.Equal(t, "2", resp.Header.Get(x.DgraphCostHeader)) +} func TestTransactionBasicOldCommitFormat(t *testing.T) { require.NoError(t, dropAll()) diff --git a/edgraph/server.go b/edgraph/server.go index f683cb861fb..1130852ec53 100644 --- a/edgraph/server.go +++ b/edgraph/server.go @@ -20,6 +20,7 @@ import ( "bytes" "context" "encoding/json" + "fmt" "math" "net" "sort" @@ -36,6 +37,7 @@ import ( "go.opencensus.io/tag" "go.opencensus.io/trace" otrace "go.opencensus.io/trace" + "google.golang.org/grpc" "google.golang.org/grpc/codes" "google.golang.org/grpc/metadata" "google.golang.org/grpc/status" @@ -997,13 +999,18 @@ func (s *Server) doQuery(ctx context.Context, req *api.Request, doAuth AuthMode) EncodingNs: uint64(l.Json.Nanoseconds()), TotalNs: uint64((time.Since(l.Start)).Nanoseconds()), } - + md := metadata.Pairs(x.DgraphCostHeader, fmt.Sprint(resp.Metrics.NumUids["_total"])) + grpc.SendHeader(ctx, md) return resp, nil } func processQuery(ctx context.Context, qc *queryContext) (*api.Response, error) { resp := &api.Response{} if len(qc.req.Query) == 0 { + // No query, so make the query cost 0. + resp.Metrics = &api.Metrics{ + NumUids: map[string]uint64{"_total": 0}, + } return resp, nil } if ctx.Err() != nil { diff --git a/x/x.go b/x/x.go index affbc1167da..7174e7aa8b8 100644 --- a/x/x.go +++ b/x/x.go @@ -146,6 +146,7 @@ const ( AccessControlAllowedHeaders = "X-Dgraph-AccessToken, " + "Content-Type, Content-Length, Accept-Encoding, Cache-Control, " + "X-CSRF-Token, X-Auth-Token, X-Requested-With" + DgraphCostHeader = "Dgraph-TouchedUids" // GraphqlPredicates is the json representation of the predicate reserved for graphql system. GraphqlPredicates = ` From 0b4cd73c09c586fe643e4d54caa1424eb3178aaf Mon Sep 17 00:00:00 2001 From: Abhimanyu Singh Gaur <12651351+abhimanyusinghgaur@users.noreply.github.com> Date: Wed, 12 Aug 2020 10:42:38 +0530 Subject: [PATCH 051/151] docs: document upgrade and internal type/predicate namespace (#6149) Fixes DGRAPH-1714. This PR adds documentation for upgrading from `v20.03.x` to `v20.07.0`. It also adds documentation for the reserved `dgraph.` namespace for internal types and predicates. --- wiki/content/deploy/dgraph-administration.md | 24 ++++++++++++++++++++ wiki/content/query-language/schema.md | 4 ++++ wiki/content/query-language/type-system.md | 4 ++++ 3 files changed, 32 insertions(+) diff --git a/wiki/content/deploy/dgraph-administration.md b/wiki/content/deploy/dgraph-administration.md index 321e8636f6d..6fbae894f40 100644 --- a/wiki/content/deploy/dgraph-administration.md +++ b/wiki/content/deploy/dgraph-administration.md @@ -200,6 +200,30 @@ When the new cluster (that uses the upgraded version of Dgraph) is up and runnin dgraph upgrade --acl -a localhost:9080 -u groot -p password ``` +### Upgrading from v20.03.0 to v20.07.0 for Enterprise Customers +1. Use [binary]({{< relref "enterprise-features/binary-backups.md">}}) backup to export data from old cluster +2. Ensure it is successful +3. [Shutdown Dgraph]({{< relref "#shutting-down-database" >}}) and wait for all writes to complete +4. Upgrade `dgraph` binary to `v20.07.0` +5. [Restore]({{< relref "enterprise-features/binary-backups.md#restore-from-backup">}}) from the backups using upgraded `dgraph` binary +6. Start a new Dgraph cluster using the restored data directories +7. Upgrade ACL data using the following command: + ``` + dgraph upgrade --acl -a localhost:9080 -u groot -p password -f v20.03.0 -t v20.07.0 + ``` + This is required because previously the type-names `User`, `Group` and `Rule` were used by ACL. + They have now been renamed as `dgraph.type.User`, `dgraph.type.Group` and `dgraph.type.Rule`, to + keep them in dgraph's internal namespace. This upgrade just changes the type-names for the ACL + nodes to the new type-names. + + You can use `--dry-run` option in `dgraph upgrade` command to see a dry run of what the upgrade + command will do. +8. If you have types or predicates in your schema whose names start with `dgraph.`, then +you would need to manually alter schema to change their names to something else which isn't +prefixed with `dgraph.`, and also do mutations to change the value of `dgraph.type` edge to the +new type name and copy data from old predicate name to new predicate name for all the nodes which +are affected. Then, you can drop the old types and predicates from DB. + {{% notice "note" %}} If you are upgrading from v1.0, please make sure you follow the schema migration steps described in [this section](/howto/#schema-types-scalar-uid-and-list-uid). {{% /notice %}} diff --git a/wiki/content/query-language/schema.md b/wiki/content/query-language/schema.md index ee471480957..66cd59f7b68 100644 --- a/wiki/content/query-language/schema.md +++ b/wiki/content/query-language/schema.md @@ -82,6 +82,10 @@ If data exists and new indices are specified in a schema mutation, any index not Reverse edges are also computed if specified by a schema mutation. +{{% notice "note" %}}You can't define predicate names starting with `dgraph.`, it is reserved as the +namespace for Dgraph's internal types/predicates. For example, defining `dgraph.name` as a +predicate is invalid.{{% /notice %}} + ## Indexes in Background diff --git a/wiki/content/query-language/type-system.md b/wiki/content/query-language/type-system.md index c915fc2c957..5f26deb8210 100644 --- a/wiki/content/query-language/type-system.md +++ b/wiki/content/query-language/type-system.md @@ -23,6 +23,10 @@ type Student { } ``` +{{% notice "note" %}}You can't define type names starting with `dgraph.`, it is reserved as the +namespace for Dgraph's internal types/predicates. For example, defining `dgraph.Student` as a +type is invalid.{{% /notice %}} + Types are declared along with the schema using the Alter endpoint. In order to properly support the above type, a predicate for each of the attributes in the type is also needed, such as: From d807eb7d00f61b62c4cd67e8dbaa1f7d45512135 Mon Sep 17 00:00:00 2001 From: Jatin Dev <64803093+JatinDevDG@users.noreply.github.com> Date: Wed, 12 Aug 2020 12:45:16 +0530 Subject: [PATCH 052/151] fix(GraphQl): Allow case insensitive auth header for graphql subscriptions. (#6141) This PR allows case insensitive auth header for graphql subscriptions. --- graphql/e2e/subscription/subscription_test.go | 74 +++++++++++++++++++ graphql/web/http.go | 22 +++--- 2 files changed, 86 insertions(+), 10 deletions(-) diff --git a/graphql/e2e/subscription/subscription_test.go b/graphql/e2e/subscription/subscription_test.go index 40ea867520f..4a3742247cf 100644 --- a/graphql/e2e/subscription/subscription_test.go +++ b/graphql/e2e/subscription/subscription_test.go @@ -864,3 +864,77 @@ func TestSubscriptionAuth_SameQueryDifferentClaimsAndExpiry_ShouldExpireIndepend require.NoError(t, err) require.Nil(t, res) } + +func TestSubscriptionAuthHeaderCaseInsensitive(t *testing.T) { + dg, err := testutil.DgraphClient(groupOnegRPC) + require.NoError(t, err) + testutil.DropAll(t, dg) + + add := &common.GraphQLParams{ + Query: `mutation updateGQLSchema($sch: String!) { + updateGQLSchema(input: { set: { schema: $sch }}) { + gqlSchema { + schema + } + } + }`, + Variables: map[string]interface{}{"sch": schAuth}, + } + addResult := add.ExecuteAsPost(t, adminEndpoint) + require.Nil(t, addResult.Errors) + time.Sleep(time.Second * 2) + + metaInfo := &testutil.AuthMeta{ + PublicKey: "secret", + Namespace: "https://dgraph.io", + Algo: "HS256", + Header: "authorization", + } + metaInfo.AuthVars = map[string]interface{}{ + "USER": "jatin", + "ROLE": "USER", + } + + add = &common.GraphQLParams{ + Query: `mutation{ + addTodo(input: [ + {text : "GraphQL is exciting!!", + owner : "jatin"} + ]) + { + todo{ + text + owner + } + } + }`, + } + + addResult = add.ExecuteAsPost(t, graphQLEndpoint) + require.Nil(t, addResult.Errors) + + jwtToken, err := metaInfo.GetSignedToken("secret", 10*time.Second) + require.NoError(t, err) + + payload := fmt.Sprintf(`{"Authorization": "%s"}`, jwtToken) + subscriptionClient, err := common.NewGraphQLSubscription(subscriptionEndpoint, &schema.Request{ + Query: `subscription{ + queryTodo{ + owner + text + } + }`, + }, payload) + require.Nil(t, err) + + res, err := subscriptionClient.RecvMsg() + require.NoError(t, err) + + var resp common.GraphQLResponse + err = json.Unmarshal(res, &resp) + require.NoError(t, err) + + require.Nil(t, resp.Errors) + require.JSONEq(t, `{"queryTodo":[{"owner":"jatin","text":"GraphQL is exciting!!"}]}`, + string(resp.Data)) +} diff --git a/graphql/web/http.go b/graphql/web/http.go index 7409d5080f5..53c89a32811 100644 --- a/graphql/web/http.go +++ b/graphql/web/http.go @@ -20,16 +20,13 @@ import ( "compress/gzip" "context" "encoding/json" - "github.com/dgrijalva/jwt-go/v4" - "google.golang.org/grpc/metadata" - "strconv" - "time" - "io" "io/ioutil" "mime" "net/http" + "strconv" "strings" + "time" "github.com/dgraph-io/dgraph/graphql/api" "github.com/dgraph-io/dgraph/graphql/authorization" @@ -38,9 +35,11 @@ import ( "github.com/dgraph-io/dgraph/graphql/subscription" "github.com/dgraph-io/dgraph/x" "github.com/dgraph-io/graphql-transport-ws/graphqlws" + "github.com/dgrijalva/jwt-go/v4" "github.com/golang/glog" "github.com/pkg/errors" "go.opencensus.io/trace" + "google.golang.org/grpc/metadata" ) type Headerkey string @@ -119,7 +118,7 @@ type graphqlSubscription struct { func (gs *graphqlSubscription) Subscribe( ctx context.Context, - document string, + document, operationName string, variableValues map[string]interface{}) (payloads <-chan interface{}, err error) { @@ -138,19 +137,22 @@ func (gs *graphqlSubscription) Subscribe( } name := authorization.GetHeader() - val, ok := payload[name].(string) - if ok { + for key, val := range payload { + if !strings.EqualFold(key, name) { + continue + } md := metadata.New(map[string]string{ - "authorizationJwt": val, + "authorizationJwt": val.(string), }) ctx = metadata.NewIncomingContext(ctx, md) - customClaims, err = authorization.ExtractCustomClaims(ctx) if err != nil { return nil, err } + break } + } // for the cases when no expiry is given in jwt or subscription doesn't have any authorization, // we set their expiry to zero time From 0d49e10dc166d059c1e262b1e1d1e1c455273275 Mon Sep 17 00:00:00 2001 From: Abhimanyu Singh Gaur <12651351+abhimanyusinghgaur@users.noreply.github.com> Date: Wed, 12 Aug 2020 12:55:31 +0530 Subject: [PATCH 053/151] feat(GraphQL): @custom HTTP body now supports hardcoded scalars (#6157) Fixes #5641 Fixes GRAPHQL-508 Fixes [Discuss Issue](https://discuss.dgraph.io/t/custom-mutation-underscores-within-post-body/8622) This PR adds support for parsing hardcoded scalar values in `@custom` HTTP body. This also adds support for allowing `_` in key names in the body template. --- graphql/e2e/custom_logic/cmd/main.go | 2 +- graphql/e2e/custom_logic/custom_logic_test.go | 2 +- graphql/resolve/resolver.go | 8 +- graphql/schema/gqlschema_test.yml | 22 +- graphql/schema/rules.go | 8 +- graphql/schema/wrappers.go | 240 +++++++++--------- graphql/schema/wrappers_test.go | 136 +++++++--- 7 files changed, 242 insertions(+), 176 deletions(-) diff --git a/graphql/e2e/custom_logic/cmd/main.go b/graphql/e2e/custom_logic/cmd/main.go index 14d3819cbca..480ed15357d 100644 --- a/graphql/e2e/custom_logic/cmd/main.go +++ b/graphql/e2e/custom_logic/cmd/main.go @@ -281,7 +281,7 @@ func postFavMoviesWithBodyHandler(w http.ResponseWriter, r *http.Request) { err := verifyRequest(r, expectedRequest{ method: http.MethodPost, urlSuffix: "/0x123?name=Author", - body: `{"id":"0x123","name":"Author"}`, + body: `{"id":"0x123","movie_type":"space","name":"Author"}`, headers: nil, }) if err != nil { diff --git a/graphql/e2e/custom_logic/custom_logic_test.go b/graphql/e2e/custom_logic/custom_logic_test.go index b70c44f9a2d..89eb17cf347 100644 --- a/graphql/e2e/custom_logic/custom_logic_test.go +++ b/graphql/e2e/custom_logic/custom_logic_test.go @@ -165,7 +165,7 @@ func TestCustomPostQueryWithBody(t *testing.T) { type Query { myFavoriteMoviesPost(id: ID!, name: String!, num: Int): [Movie] @custom(http: { url: "http://mock:8888/favMoviesPostWithBody/$id?name=$name", - body:"{id:$id,name:$name,num:$num}" + body:"{id:$id,name:$name,num:$num,movie_type:\"space\"}" method: "POST" }) }` diff --git a/graphql/resolve/resolver.go b/graphql/resolve/resolver.go index e9cfb1d26e2..91773e87a37 100644 --- a/graphql/resolve/resolver.go +++ b/graphql/resolve/resolver.go @@ -852,13 +852,7 @@ func resolveCustomField(f schema.Field, vals []interface{}, mu *sync.RWMutex, er } mu.RLock() - if err := schema.SubstituteVarsInBody(&temp, vals[i].(map[string]interface{})); err != nil { - errCh <- x.GqlErrorf("Evaluation of custom field failed while substituting "+ - "variables into body for remote endpoint with an error: %s for field: %s "+ - "within type: %s.", err, f.Name(), f.GetObjectName()).WithLocations(f.Location()) - mu.RUnlock() - return - } + schema.SubstituteVarsInBody(&temp, vals[i].(map[string]interface{})) mu.RUnlock() inputs[i] = temp } diff --git a/graphql/schema/gqlschema_test.yml b/graphql/schema/gqlschema_test.yml index 300e9f4d529..4dd3cf74281 100644 --- a/graphql/schema/gqlschema_test.yml +++ b/graphql/schema/gqlschema_test.yml @@ -1175,11 +1175,11 @@ invalid_schemas: getAuthor1(id: ID): Author! @custom(http: { url: "http://google.com/", method: "POST", - body: "{id: $id, name: \"name\"}", + body: "{id: $id, name: name}", }) } errlist: [ - {"message": "Type Query; Field getAuthor1; body template inside @custom directive could not be parsed.", + {"message": "Type Query; Field getAuthor1; body template inside @custom directive could not be parsed: found unexpected value: name", "locations":[{"line":10, "column":12}]}, ] @@ -2636,7 +2636,7 @@ valid_schemas: } - - name: "Query, Mutation in initial schema with @custom directive" + name: "initial schema with @custom directive" input: | type Author { id: ID! @@ -2645,9 +2645,25 @@ valid_schemas: input AuthorUpdate { id: ID! } + type Country { + country_code: String! @id + authors: [Author] @custom(http: { + url: "http://blah.com", + method: "POST" + graphql: "query ($input: [AuthorInput]) { authors(input: $input) }" + body: "{country_code: $country_code, version: ONE}" + mode: BATCH + skipIntrospection: true + }) + } type Query { getMyAuthor(id: ID): Author! @custom(http: {url: "http://blah.com", method: "GET"}) + getAuthorsForCountry(country_code: String!): [Author] @custom(http: { + url: "http://blah.com" + method: "POST" + body: "{country_code: $country_code, version: 1, tag: \"temp\"}" + }) } type Mutation { updateMyAuthor(input: AuthorUpdate!): Author! @custom(http: {url: "http://blah.com", diff --git a/graphql/schema/rules.go b/graphql/schema/rules.go index 7ff9273bb85..d38a6fce691 100644 --- a/graphql/schema/rules.go +++ b/graphql/schema/rules.go @@ -1418,11 +1418,11 @@ func customDirectiveValidation(sch *ast.Schema, // 8. Validating body var requiredFields map[string]bool if body != nil { - _, requiredFields, err = parseBodyTemplate(body.Raw) + _, requiredFields, err = parseBodyTemplate(body.Raw, graphql == nil) if err != nil { errs = append(errs, gqlerror.ErrorPosf(body.Position, - "Type %s; Field %s; body template inside @custom directive could not be parsed.", - typ.Name, field.Name)) + "Type %s; Field %s; body template inside @custom directive could not be parsed: %s", + typ.Name, field.Name, err.Error())) } // Validating params to body template for Query/Mutation types. For other types the // validation is performed later along with graphql. @@ -1564,7 +1564,7 @@ func customDirectiveValidation(sch *ast.Schema, bodyBuilder.WriteString(comma) } bodyBuilder.WriteString("}") - _, requiredVars, err := parseBodyTemplate(bodyBuilder.String()) + _, requiredVars, err := parseBodyTemplate(bodyBuilder.String(), false) if err != nil { errs = append(errs, gqlerror.ErrorPosf(graphql.Position, "Type %s; Field %s: inside graphql in @custom directive, "+ diff --git a/graphql/schema/wrappers.go b/graphql/schema/wrappers.go index fb5d402fdb2..fffd01d06b3 100644 --- a/graphql/schema/wrappers.go +++ b/graphql/schema/wrappers.go @@ -18,7 +18,6 @@ package schema import ( "bytes" - "encoding/json" "fmt" "net/http" "net/url" @@ -26,7 +25,6 @@ import ( "sort" "strconv" "strings" - "text/scanner" "github.com/vektah/gqlparser/v2/parser" @@ -689,9 +687,10 @@ func (f *field) HasCustomDirective() (bool, map[string]bool) { httpArg := custom.Arguments.ForName("http") bodyArg := httpArg.Value.Children.ForName("body") + graphqlArg := httpArg.Value.Children.ForName("graphql") if bodyArg != nil { bodyTemplate := bodyArg.Raw - _, rf, _ = parseBodyTemplate(bodyTemplate) + _, rf, _ = parseBodyTemplate(bodyTemplate, graphqlArg == nil) } if rf == nil { @@ -715,7 +714,6 @@ func (f *field) HasCustomDirective() (bool, map[string]bool) { } } - graphqlArg := httpArg.Value.Children.ForName("graphql") if graphqlArg == nil { return true, rf } @@ -852,7 +850,7 @@ func getCustomHTTPConfig(f *field, isQueryOrMutation bool) (FieldHTTPConfig, err } // bodyTemplate will be empty if there was no body or graphql, like the case of a simple GET req if bodyTemplate != "" { - bt, rf, err := parseBodyTemplate(bodyTemplate) + bt, rf, err := parseBodyTemplate(bodyTemplate, true) if err != nil { return fconf, err } @@ -930,11 +928,7 @@ func getCustomHTTPConfig(f *field, isQueryOrMutation bool) (FieldHTTPConfig, err bodyVars["query"] = fconf.RemoteGqlQuery bodyVars["variables"] = argMap } - if fconf.Template != nil { - if err = SubstituteVarsInBody(fconf.Template, bodyVars); err != nil { - return fconf, errors.Wrapf(err, "while substituting vars in Body") - } - } + SubstituteVarsInBody(fconf.Template, bodyVars) } return fconf, nil } @@ -1802,170 +1796,166 @@ func SubstituteVarsInURL(rawURL string, vars map[string]interface{}) (string, return u.String(), nil } -func isName(s string) bool { - for _, r := range s { - switch { - case r >= 'a' && r <= 'z': - continue - case r >= 'A' && r <= 'Z': - continue - default: - return false +func parseAsGraphQLArg(bodyTemplate string) (*ast.Value, error) { + // bodyTemplate is always formed like { k1: 3.4, k2: $var, k3: "string", ...}, + // so the `input` arg here will have an object value after parsing + doc, err := parser.ParseQuery(&ast.Source{Input: `query { dummy(input:` + bodyTemplate + `) }`}) + if err != nil { + return nil, err + } + return doc.Operations[0].SelectionSet[0].(*ast.Field).Arguments[0].Value, nil +} + +func parseAsJSONTemplate(value *ast.Value, vars map[string]bool, strictJSON bool) (interface{}, error) { + switch value.Kind { + case ast.ObjectValue: + m := make(map[string]interface{}) + for _, elem := range value.Children { + elemVal, err := parseAsJSONTemplate(elem.Value, vars, strictJSON) + if err != nil { + return nil, err + } + m[elem.Name] = elemVal } + return m, nil + case ast.ListValue: + var l []interface{} + for _, elem := range value.Children { + elemVal, err := parseAsJSONTemplate(elem.Value, vars, strictJSON) + if err != nil { + return nil, err + } + l = append(l, elemVal) + } + return l, nil + case ast.Variable: + vars[value.Raw] = true + return value.String(), nil + case ast.IntValue: + return strconv.ParseInt(value.Raw, 10, 64) + case ast.FloatValue: + return strconv.ParseFloat(value.Raw, 64) + case ast.BooleanValue: + return strconv.ParseBool(value.Raw) + case ast.StringValue: + return value.Raw, nil + case ast.BlockValue, ast.EnumValue: + if strictJSON { + return nil, fmt.Errorf("found unexpected value: %s", value.String()) + } + return value.Raw, nil + case ast.NullValue: + return nil, nil + default: + return nil, fmt.Errorf("unknown value kind: %d, for value: %s", value.Kind, value.String()) } - return true } // Given a template for a body with variables defined, this function parses the body -// and converts it into a JSON representation and returns that. It also returns a list of the field -// names that are required by this template. +// and converts it into a JSON representation and returns that. It also returns a list of the +// variable names that are required by this template. // for e.g. // { author: $id, post: { id: $postID }} // would return // { "author" : "$id", "post": { "id": "$postID" }} and { "id": true, "postID": true} // If the final result is not a valid JSON, then an error is returned. -func parseBodyTemplate(body string) (*interface{}, map[string]bool, error) { - var s scanner.Scanner - s.Init(strings.NewReader(body)) - - result := new(bytes.Buffer) - parsingVariable := false - depth := 0 - requiredFields := make(map[string]bool) - for tok := s.Scan(); tok != scanner.EOF; tok = s.Scan() { - text := s.TokenText() - switch { - case text == "{": - result.WriteString(text) - depth++ - case text == "}": - depth-- - result.WriteString(text) - case text == ":" || text == "," || text == "[" || text == "]": - result.WriteString(text) - case text == "$": - parsingVariable = true - case isName(text): - // Name could either be a key or be part of a variable after dollar. - if !parsingVariable { - result.WriteString(fmt.Sprintf(`"%s"`, text)) - continue - } - requiredFields[text] = true - variable := "$" + text - fmt.Fprintf(result, `"%s"`, variable) - parsingVariable = false - - default: - return nil, nil, errors.Errorf("invalid character: %s while parsing body template", - text) - } - } - if depth != 0 { - return nil, nil, errors.New("found unmatched curly braces while parsing body template") - } - - if result.Len() == 0 { +// +// In strictJSON mode block strings and enums are invalid and throw an error. +// strictJSON should be false when the body template is being used for custom graphql arg parsing, +// otherwise it should be true. +func parseBodyTemplate(body string, strictJSON bool) (*interface{}, map[string]bool, error) { + if strings.TrimSpace(body) == "" { return nil, nil, nil } - var m interface{} - if err := json.Unmarshal(result.Bytes(), &m); err != nil { - return nil, nil, errors.Errorf("couldn't unmarshal HTTP body: %s as JSON", result.Bytes()) + parsedBodyTemplate, err := parseAsGraphQLArg(body) + if err != nil { + return nil, nil, err } - return &m, requiredFields, nil -} -func getVar(key string, variables map[string]interface{}) (interface{}, error, bool) { - if !strings.HasPrefix(key, "$") { - return nil, errors.Errorf("expected a variable to start with $. Found: %s", key), true + requiredVariables := make(map[string]bool) + jsonTemplate, err := parseAsJSONTemplate(parsedBodyTemplate, requiredVariables, strictJSON) + if err != nil { + return nil, nil, err } - val, ok := variables[key[1:]] - return val, nil, ok + + return &jsonTemplate, requiredVariables, nil } -func substituteSingleVarInBody(key string, valPtr *interface{}, - variables map[string]interface{}) error { - // Look it up in the map and replace. - val, err, _ := getVar(key, variables) - if err != nil { - return err - } - *valPtr = val - return nil +func isVar(key string) bool { + return strings.HasPrefix(key, "$") } -func substituteVarInMapInBody(object, variables map[string]interface{}) error { +func substituteVarInMapInBody(object, variables map[string]interface{}) { for k, v := range object { switch val := v.(type) { case string: - vval, err, ok := getVar(val, variables) - if err != nil { - return err - } - if ok { - object[k] = vval - } else { - delete(object, k) + if isVar(val) { + vval, ok := variables[val[1:]] + if ok { + object[k] = vval + } else { + delete(object, k) + } } case map[string]interface{}: - if err := substituteVarInMapInBody(val, variables); err != nil { - return err - } + substituteVarInMapInBody(val, variables) case []interface{}: - if err := substituteVarInSliceInBody(val, variables); err != nil { - return err - } - default: - return errors.Errorf("got unexpected type value in map: %+v", v) + substituteVarInSliceInBody(val, variables) } } - return nil } -func substituteVarInSliceInBody(slice []interface{}, variables map[string]interface{}) error { +func substituteVarInSliceInBody(slice []interface{}, variables map[string]interface{}) { for k, v := range slice { switch val := v.(type) { case string: - vval, err, _ := getVar(val, variables) - if err != nil { - return err + if isVar(val) { + slice[k] = variables[val[1:]] } - slice[k] = vval case map[string]interface{}: - if err := substituteVarInMapInBody(val, variables); err != nil { - return err - } + substituteVarInMapInBody(val, variables) case []interface{}: - if err := substituteVarInSliceInBody(val, variables); err != nil { - return err - } - default: - return errors.Errorf("got unexpected type value in array: %+v", v) + substituteVarInSliceInBody(val, variables) } } - return nil } // Given a JSON representation for a body with variables defined, this function substitutes // the variables and returns the final JSON. // for e.g. -// { "author" : "$id", "post": { "id": "$postID" }} with variables {"id": "0x3", postID: "0x9"} -// should return { "author" : "0x3", "post": { "id": "0x9" }} -func SubstituteVarsInBody(jsonTemplate *interface{}, variables map[string]interface{}) error { +// { +// "author" : "$id", +// "name" : "Jerry", +// "age" : 23, +// "post": { +// "id": "$postID" +// } +// } +// with variables {"id": "0x3", postID: "0x9"} +// should return +// { +// "author" : "0x3", +// "name" : "Jerry", +// "age" : 23, +// "post": { +// "id": "0x9" +// } +// } +func SubstituteVarsInBody(jsonTemplate *interface{}, variables map[string]interface{}) { if jsonTemplate == nil { - return nil + return } switch val := (*jsonTemplate).(type) { case string: - return substituteSingleVarInBody(val, jsonTemplate, variables) + if isVar(val) { + *jsonTemplate = variables[val[1:]] + } case map[string]interface{}: - return substituteVarInMapInBody(val, variables) + substituteVarInMapInBody(val, variables) case []interface{}: - return substituteVarInSliceInBody(val, variables) - default: - return errors.Errorf("got unexpected type value in jsonTemplate: %+v", val) + substituteVarInSliceInBody(val, variables) } } @@ -2046,6 +2036,6 @@ func parseRequiredArgsFromGQLRequest(req string) (map[string]bool, error) { bracket := strings.Index(req, "{") req = req[bracket:] args := req[strings.Index(req, "(")+1 : strings.LastIndex(req, ")")] - _, rf, err := parseBodyTemplate("{" + args + "}") + _, rf, err := parseBodyTemplate("{"+args+"}", false) return rf, err } diff --git a/graphql/schema/wrappers_test.go b/graphql/schema/wrappers_test.go index bffeb40b707..fb6250ecd3b 100644 --- a/graphql/schema/wrappers_test.go +++ b/graphql/schema/wrappers_test.go @@ -331,39 +331,34 @@ func TestCheckNonNulls(t *testing.T) { func TestSubstituteVarsInBody(t *testing.T) { tcases := []struct { - name string - variables map[string]interface{} - template interface{} - expected interface{} - expectedErr error + name string + variables map[string]interface{} + template interface{} + expected interface{} }{ { "handle nil template correctly", map[string]interface{}{"id": "0x3", "postID": "0x9"}, nil, nil, - nil, }, { "handle empty object template correctly", map[string]interface{}{"id": "0x3", "postID": "0x9"}, map[string]interface{}{}, map[string]interface{}{}, - nil, }, { "substitutes variables correctly", map[string]interface{}{"id": "0x3", "postID": "0x9"}, map[string]interface{}{"author": "$id", "post": map[string]interface{}{"id": "$postID"}}, map[string]interface{}{"author": "0x3", "post": map[string]interface{}{"id": "0x9"}}, - nil, }, { "substitutes nil variables correctly", map[string]interface{}{"id": nil}, map[string]interface{}{"author": "$id"}, map[string]interface{}{"author": nil}, - nil, }, { "substitutes variables with an array in template correctly", @@ -375,7 +370,6 @@ func TestSubstituteVarsInBody(t *testing.T) { map[string]interface{}{"author": "0x3", "admin": false, "post": map[string]interface{}{"id": "0x9", "comments": []interface{}{"Random comment", 28}}, "age": 28}, - nil, }, { "substitutes variables with an array of object in template correctly", @@ -387,7 +381,6 @@ func TestSubstituteVarsInBody(t *testing.T) { map[string]interface{}{"author": "0x3", "admin": false, "post": map[string]interface{}{"id": "0x9", "comments": []interface{}{map[string]interface{}{"text": "Random comment"}}}, "age": 28}, - nil, }, { "substitutes array variables correctly", @@ -396,14 +389,12 @@ func TestSubstituteVarsInBody(t *testing.T) { map[string]interface{}{"ids": "$ids", "names": "$names", "check": "$check"}, map[string]interface{}{"ids": []int{1, 2, 3}, "names": []string{"M1", "M2"}, "check": []interface{}{1, 3.14, "test"}}, - nil, }, { "substitutes object variables correctly", map[string]interface{}{"author": map[string]interface{}{"id": 1, "name": "George"}}, map[string]interface{}{"author": "$author"}, map[string]interface{}{"author": map[string]interface{}{"id": 1, "name": "George"}}, - nil, }, { "substitutes array of object variables correctly", @@ -412,7 +403,6 @@ func TestSubstituteVarsInBody(t *testing.T) { map[string]interface{}{"authors": "$authors"}, map[string]interface{}{"authors": []interface{}{map[string]interface{}{"id": 1, "name": "George"}, map[string]interface{}{"id": 2, "name": "Jerry"}}}, - nil, }, { "substitutes direct body variable correctly", @@ -421,21 +411,47 @@ func TestSubstituteVarsInBody(t *testing.T) { "$authors", []interface{}{map[string]interface{}{"id": 1, "name": "George"}, map[string]interface{}{"id": 2, "name": "Jerry"}}, - nil, + }, + { + "keep direct hardcoded string as is", + map[string]interface{}{"authors": []interface{}{map[string]interface{}{"id": 1, + "name": "George"}, map[string]interface{}{"id": 2, "name": "Jerry"}}}, + "authors", + "authors", + }, + { + "keep direct hardcoded int as is", + map[string]interface{}{"authors": []interface{}{map[string]interface{}{"id": 1, + "name": "George"}, map[string]interface{}{"id": 2, "name": "Jerry"}}}, + 3, + 3, + }, + { + "substitute only variables and keep deep hardcoded values as is", + map[string]interface{}{"id": "0x3", "admin": false, "postID": "0x9", + "text": "Random comment", "age": 28}, + map[string]interface{}{"author": "$id", "admin": true, + "post": map[string]interface{}{"id": "$postID", "rating": 4.5, + "comments": []interface{}{map[string]interface{}{"text": "$text", + "type": "hidden"}}}, + "age": int64(23), "meta": nil}, + map[string]interface{}{"author": "0x3", "admin": true, + "post": map[string]interface{}{"id": "0x9", "rating": 4.5, + "comments": []interface{}{map[string]interface{}{"text": "Random comment", + "type": "hidden"}}}, + "age": int64(23), "meta": nil}, }, { "Skip one missing variable in the HTTP body", map[string]interface{}{"postID": "0x9"}, map[string]interface{}{"author": "$id", "post": map[string]interface{}{"id": "$postID"}}, map[string]interface{}{"post": map[string]interface{}{"id": "0x9"}}, - nil, }, { "Skip all missing variables in the HTTP body", map[string]interface{}{}, map[string]interface{}{"author": "$id", "post": map[string]interface{}{"id": "$postID"}}, map[string]interface{}{"post": map[string]interface{}{}}, - nil, }, } @@ -447,13 +463,8 @@ func TestSubstituteVarsInBody(t *testing.T) { } else { templatePtr = &test.template } - err := SubstituteVarsInBody(templatePtr, test.variables) - if test.expectedErr == nil { - require.NoError(t, err) - require.Equal(t, test.expected, test.template) - } else { - require.EqualError(t, err, test.expectedErr.Error()) - } + SubstituteVarsInBody(templatePtr, test.variables) + require.Equal(t, test.expected, test.template) }) } } @@ -480,6 +491,48 @@ func TestParseBodyTemplate(t *testing.T) { nil, nil, }, + { + "parses body template with direct variable correctly", + `$authors`, + "$authors", + map[string]bool{"authors": true}, + nil, + }, + { + "parses body template with direct hardcoded int correctly", + `67`, + int64(67), + map[string]bool{}, + nil, + }, + { + "parses body template with direct hardcoded float correctly", + `67.23`, + 67.23, + map[string]bool{}, + nil, + }, + { + "parses body template with direct hardcoded boolean correctly", + `true`, + true, + map[string]bool{}, + nil, + }, + { + "parses body template with direct hardcoded string correctly", + `"alice"`, + "alice", + map[string]bool{}, + nil, + }, + { + "parses body template with direct hardcoded null correctly", + `null`, + nil, + map[string]bool{}, + nil, + }, { "parses empty object body template correctly", `{}`, @@ -490,10 +543,19 @@ func TestParseBodyTemplate(t *testing.T) { { "parses body template correctly", `{ author: $id, post: { id: $postID }}`, - map[string]interface{}{"author": "$id", "post": map[string]interface{}{"id": "$postID"}}, + map[string]interface{}{"author": "$id", + "post": map[string]interface{}{"id": "$postID"}}, map[string]bool{"id": true, "postID": true}, nil, }, + { + "parses body template with underscores correctly", + `{ author_name: $author_name, post: { id: $postID }}`, + map[string]interface{}{"author_name": "$author_name", + "post": map[string]interface{}{"id": "$postID"}}, + map[string]bool{"author_name": true, "postID": true}, + nil, + }, { "parses body template with an array correctly", `{ author: $id, admin: $admin, post: { id: $postID, comments: [$text] }, @@ -515,39 +577,43 @@ func TestParseBodyTemplate(t *testing.T) { nil, }, { - "parses body template with direct variable correctly", - `$authors`, - "$authors", - map[string]bool{"authors": true}, + "parses body template with an array of object and hardcoded scalars correctly", + `{ author: $id, admin: false, post: { id: $postID, rating: 4.5, + comments: [{ text: $text, type: "hidden" }] }, age: 23, meta: null}`, + map[string]interface{}{"author": "$id", "admin": false, + "post": map[string]interface{}{"id": "$postID", "rating": 4.5, + "comments": []interface{}{map[string]interface{}{"text": "$text", + "type": "hidden"}}}, + "age": int64(23), "meta": nil}, + map[string]bool{"id": true, "postID": true, "text": true}, nil, }, { - "json unmarshal error", + "bad template error", `{ author: $id, post: { id $postID }}`, nil, nil, - errors.New("couldn't unmarshal HTTP body: {\"author\":\"$id\",\"post\":{\"id\"\"$postID\"}}" + - " as JSON"), + errors.New("input:1: Expected :, found $"), }, { "unmatched brackets error", `{{ author: $id, post: { id: $postID }}`, nil, nil, - errors.New("found unmatched curly braces while parsing body template"), + errors.New("input:1: Expected Name, found {"), }, { "invalid character error", `(author: $id, post: { id: $postID }}`, nil, nil, - errors.New("invalid character: ( while parsing body template"), + errors.New("input:1: Unexpected ("), }, } for _, test := range tcases { t.Run(test.name, func(t *testing.T) { - b, requiredFields, err := parseBodyTemplate(test.template) + b, requiredFields, err := parseBodyTemplate(test.template, true) if test.expectedErr == nil { require.NoError(t, err) require.Equal(t, test.requiredFields, requiredFields) From ccbc89cd46c0787e2b3d19a610c4ca52f36248fa Mon Sep 17 00:00:00 2001 From: parasssh Date: Thu, 13 Aug 2020 09:45:44 -0700 Subject: [PATCH 054/151] docs(vault): Vault docs (#6163) --- wiki/content/deploy/fast-data-loading.md | 23 +++++++++++----- .../enterprise-features/binary-backups.md | 15 ++++++----- .../enterprise-features/encryption-at-rest.md | 27 ++++++++++++++++++- 3 files changed, 52 insertions(+), 13 deletions(-) diff --git a/wiki/content/deploy/fast-data-loading.md b/wiki/content/deploy/fast-data-loading.md index 0669bec72c2..bd4b269e887 100644 --- a/wiki/content/deploy/fast-data-loading.md +++ b/wiki/content/deploy/fast-data-loading.md @@ -43,16 +43,17 @@ $ dgraph live -C -f $ dgraph live -f -s -a -z ``` -### Encrypted imports via Live Loader +### Encrypted imports via Live Loader (Enterprise Feature) -A new flag keyfile is added to the Live Loader. This option is required to decrypt the encrypted export data and schema files. Once the export files are decrypted, the Live Loader streams the data to a live Alpha instance. +A new flag `--encryption_key_file` is added to the Live Loader. This option is required to decrypt the encrypted export data and schema files. Once the export files are decrypted, the Live Loader streams the data to a live Alpha instance. +Alternatively, starting with v20.07.0, the `vault_*` options can be used to decrypt the encrypted export and schema files. {{% notice "note" %}} If the live Alpha instance has encryption turned on, the `p` directory will be encrypted. Otherwise, the `p` directory is unencrypted. {{% /notice %}} -### Encrypted RDF/JSON file and schema via Live Loader -`dgraph live -f -s -keyfile ` +#### Encrypted RDF/JSON file and schema via Live Loader +`dgraph live -f -s --encryption_keyfile ` ### Other Live Loader options @@ -79,6 +80,9 @@ Alpha server. `-x, --xidmap` (default: disabled. Need a path): Store xid to uid mapping to a directory. Dgraph will save all identifiers used in the load for later use in other data ingest operations. The mapping will be saved in the path you provide and you must indicate that same path in the next load. It is recommended to use this flag if you have full control over your identifiers (Blank-nodes). Because the identifier will be mapped to a specific UID. +`--vault_*` flags specifies the Vault server address, role id, secret id and +field that contains the encryption key that can be used to decrypt the encrypted export. + ## Bulk Loader {{% notice "note" %}} @@ -215,7 +219,7 @@ $ dgraph bulk -f ... ``` -### Encryption at rest with Bulk Loader +### Encryption at rest with Bulk Loader (Enterprise Feature) Even before the Dgraph cluster starts, we can load data using Bulk Loader with the encryption feature turned on. Later we can point the generated `p` directory to a new Alpha server. @@ -224,8 +228,10 @@ Here's an example to run Bulk Loader with a key used to write encrypted data: ```bash dgraph bulk --encryption_key_file ./enc_key_file -f data.json.gz -s data.schema --map_shards=1 --reduce_shards=1 --http localhost:8000 --zero=localhost:5080 ``` +Alternatively, starting with v20.07.0, the `vault_*` options can be used to decrypt the encrypted export. + -### Encrypting imports via Bulk Loader +### Encrypting imports via Bulk Loader (Enterprise Feature) The Bulk Loader’s `encryption_key_file` option was previously used to encrypt the output `p ` directory. This same option will also be used to decrypt the encrypted export data and schema files. @@ -249,6 +255,8 @@ Input is not encrypted and the output `p` dir is also not encrypted. Input is not encrypted but the output is encrypted. (This is the migration use case mentioned above). +Alternatively, starting with v20.07.0, the `vault_*` options can be used instead of the `--encryption_key_file` option above to achieve the same effect except that the keys are sitting in a Vault server. + ### Other Bulk Loader options `--new_uids` (default: false): Assign new UIDs instead of using the existing @@ -266,6 +274,9 @@ filenames. This is useful if you need to define a strict format manually. `--xidmap` (default: disabled. Need a path): Store xid to uid mapping to a directory. Dgraph will save all identifiers used in the load for later use in other data ingest operations. The mapping will be saved in the path you provide and you must indicate that same path in the next load. It is recommended to use this flag if you have full control over your identifiers (Blank-nodes). Because the identifier will be mapped to a specific UID. +`--vault_*` flags specifies the Vault server address, role id, secret id and +field that contains the encryption key that can be used to decrypt the encrypted export. + ### Tuning & monitoring #### Performance Tuning diff --git a/wiki/content/enterprise-features/binary-backups.md b/wiki/content/enterprise-features/binary-backups.md index 68f86935146..9a3c2b9a572 100644 --- a/wiki/content/enterprise-features/binary-backups.md +++ b/wiki/content/enterprise-features/binary-backups.md @@ -213,7 +213,8 @@ mutation { ## Encrypted Backups -Encrypted backups are a Enterprise feature that are available from v20.03.1 and v1.2.3 and allow you to encrypt your backups and restore them. This documentation describes how to implement encryption into your binary backups +Encrypted backups are a Enterprise feature that are available from v20.03.1 and v1.2.3 and allow you to encrypt your backups and restore them. This documentation describes how to implement encryption into your binary backups. +Starting with v20.07.0, we also added support for Encrypted Backups using encryption keys sitting on Vault. ## New flag “Encrypted” in manifest.json @@ -232,16 +233,15 @@ During **backup**: the 16 bytes IV is prepended to the Cipher-text data after en ## Backup -Backup is an online tool, meaning it is available when alpha is running. For encrypted backups, the alpha must be configured with the “encryption_key_file”. +Backup is an online tool, meaning it is available when alpha is running. For encrypted backups, the alpha must be configured with the “encryption_key_file”. Starting with v20.07.0, the alpha can alternatively be configured to interface with Vault server to obtain keys. {{% notice "note" %}} -encryption_key_file was used for encryption-at-rest and will now also be used for encrypted backups. +`encryption_key_file` or `vault_*` options was used for encryption-at-rest and will now also be used for encrypted backups. {{% /notice %}} -The restore utility is a standalone tool today. Hence, a new flag “keyfile” is added to the restore utility so it can decrypt the backup. This keyfile must be the same key that was used for encryption during backup. - - ## Restore from Backup +The restore utility is a standalone tool today. A new flag `--encryption_key_file` is added to the restore utility so it can decrypt the backup. This file must contain the same key that was used for encryption during backup. +Alternatively, starting with v20.07.0, the `vault_*` options can be used to restore a backup. The `dgraph restore` command restores the postings directory from a previously created backup to a directory in the local filesystem. Restore is intended to @@ -272,6 +272,9 @@ The `--encryption_key_file` flag is required if you took the backup in an encrypted cluster and should point to the location of the same key used to run the cluster. +The `--vault_*` flags specifies the Vault server address, role id, secret id and +field that contains the encryption key that was used to encrypt the backup. + The restore feature will create a cluster with as many groups as the original cluster had at the time of the last backup. For each group, `dgraph restore` creates a posting directory `p` corresponding to the backup group ID. For diff --git a/wiki/content/enterprise-features/encryption-at-rest.md b/wiki/content/enterprise-features/encryption-at-rest.md index b0f5d744c8a..479849f0ac8 100644 --- a/wiki/content/enterprise-features/encryption-at-rest.md +++ b/wiki/content/enterprise-features/encryption-at-rest.md @@ -20,6 +20,11 @@ encryption at rest as an enterprise feature. If encryption is enabled, Dgraph us [Advanced Encryption Standard (AES)](https://en.wikipedia.org/wiki/Advanced_Encryption_Standard) algorithm to encrypt the data and secure it. +Prior to v20.07.0, the encryption key file must be present on the local file system. +Starting with [v20.07.0] (https://github.com/dgraph-io/dgraph/releases/tag/v20.07.0), +we have added support for encryption keys sitting on Vault servers. This allows an alternate +way to configure the encryption keys needed for encrypting the data at rest. + ## Set up Encryption To enable encryption, we need to pass a file that stores the data encryption key with the option @@ -33,6 +38,8 @@ desired key size): dd if=/dev/random bs=1 count=32 of=enc_key_file ``` +Alternatively, you can use the `--vault_*` options to enable encrption as explained below. + ## Turn on Encryption Here is an example that starts one Zero server and one Alpha server with the encryption feature turned on: @@ -49,6 +56,24 @@ Once an Alpha has encryption enabled, the encryption key must be provided in ord If the Alpha server restarts, the `--encryption_key_file` option must be set along with the key in order to restart successfully. +Alternatively, for encryption keys sitting on Vault server, here is an example. To use Vault, there are some pre-requisites. +1. Vault Server URL of the form `http://fqdn[ip]:port`. This will be used for the options `--vault_addr`. +2. Vault Server must be configued with an approle auth. A `secret-id` and `role-id` must be generated and copied over to local files. This will be needed for the options `--vault_secretid_file` and `vault_roleid_file`. +3. Vault Server must instantiate a KV store containing a K/V for Dgraph. The `--vault_field` option must be the KV-v1 or KV-v2 format. The vaule of this key is the encryption key that Dgraph will use. This key must be 16,24 or 32 bytes as explained above. + +Next, here is an example of using Dgraph with a Vault server that holds the encryption key. +```bash +dgraph zero --my=localhost:5080 --replicas 1 --idx 1 +dgraph alpha --vault_addr https://localhost:8200 --vault_roleid_file ./roleid --vault_secretid_file ./secretid --vault_field enc_key_name --my=localhost:7080 --lru_mb=1024 --zero=localhost:5080 +``` + +If multiple Alpha nodes are part of the cluster, you will need to pass the `--encryption_key_file` option or the `--vault_*` options to +each of the Alphas. + +Once an Alpha has encryption enabled, the encryption key must be provided in order to start the Alpha server. +If the Alpha server restarts, the `--encryption_key_file` or the `--vault_*` option must be set along with the key in order to +restart successfully. + ## Turn off Encryption If you wish to turn off encryption from an existing Alpha, then you can export your data and import it @@ -56,7 +81,7 @@ into a new Dgraph instance without encryption enabled. ## Change Encryption Key -The master encryption key set by the `--encryption_key_file` option does not change automatically. The master +The master encryption key set by the `--encryption_key_file` option (or one used in Vault KV store) does not change automatically. The master encryption key encrypts underlying *data keys* which are changed on a regular basis automatically (more info about this is covered on the encryption-at-rest [blog][encblog] post). From 5ecef43c70e60435099c426ef1d7ff6b20ddbbd1 Mon Sep 17 00:00:00 2001 From: Rahul Gurnani Date: Thu, 13 Aug 2020 23:53:04 +0530 Subject: [PATCH 055/151] Revert "fix(Dgraph): Don't store start_ts in postings. (#6127)" (#6181) This reverts commit 9d7fc94c4c1e712cf6090581e7d35290c77b6d18. --- posting/list.go | 4 ---- 1 file changed, 4 deletions(-) diff --git a/posting/list.go b/posting/list.go index 6e0b19ebc39..5c841971afa 100644 --- a/posting/list.go +++ b/posting/list.go @@ -529,9 +529,6 @@ func (l *List) getMutation(startTs uint64) []byte { l.RLock() defer l.RUnlock() if pl, ok := l.mutationMap[startTs]; ok { - for _, p := range pl.GetPostings() { - p.StartTs = 0 - } data, err := pl.Marshal() x.Check(err) return data @@ -599,7 +596,6 @@ func (l *List) pickPostings(readTs uint64) (uint64, []*pb.Posting) { deleteBelowTs = effectiveTs continue } - mpost.StartTs = startTs posts = append(posts, mpost) } } From 54907b83bb3fbbbbe12d7d995b410693eac550f8 Mon Sep 17 00:00:00 2001 From: Rahul Gurnani Date: Fri, 14 Aug 2020 10:04:11 +0530 Subject: [PATCH 056/151] fix: Don't allow idx flag to be set to 0 on dgraph zero (#6156) * Fix DGRAPH-2185 * Update the help message for idx flag in dgraph zero --- dgraph/cmd/zero/run.go | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/dgraph/cmd/zero/run.go b/dgraph/cmd/zero/run.go index c420f185c10..bda8a491692 100644 --- a/dgraph/cmd/zero/run.go +++ b/dgraph/cmd/zero/run.go @@ -83,7 +83,7 @@ instances to achieve high-availability. "addr:port of this server, so other Dgraph alphas can talk to this.") flag.IntP("port_offset", "o", 0, "Value added to all listening port numbers. [Grpc=5080, HTTP=6080]") - flag.Uint64("idx", 1, "Unique node index for this server.") + flag.Uint64("idx", 1, "Unique node index for this server. idx cannot be 0.") flag.Int("replicas", 1, "How many replicas to run per data shard."+ " The count includes the original shard.") flag.String("peer", "", "Address of another dgraphzero server.") @@ -186,6 +186,10 @@ func run() { } glog.Infof("Setting Config to: %+v", opts) + if opts.nodeId == 0 { + log.Fatalf("ERROR: Cannot idx flag cannot be 0. Please try again with idx as a positive integer") + } + x.WorkerConfig = x.WorkerOptions{ LudicrousMode: Zero.Conf.GetBool("ludicrous_mode"), } From d6975fd1060a3c372b3362ac064c55d8d95fcef4 Mon Sep 17 00:00:00 2001 From: Arijit Das Date: Fri, 14 Aug 2020 15:36:14 +0530 Subject: [PATCH 057/151] Prevent empty values in fields having `id` directive. (#6177) --- graphql/resolve/add_mutation_test.yaml | 46 +++++++++++++++++++++++ graphql/resolve/mutation_rewriter.go | 7 ++++ graphql/resolve/update_mutation_test.yaml | 24 ++++++++++++ graphql/schema/wrappers.go | 8 ++++ 4 files changed, 85 insertions(+) diff --git a/graphql/resolve/add_mutation_test.yaml b/graphql/resolve/add_mutation_test.yaml index cbd82479d0b..0904519dc7f 100644 --- a/graphql/resolve/add_mutation_test.yaml +++ b/graphql/resolve/add_mutation_test.yaml @@ -2213,3 +2213,49 @@ uid } } + +- + name: "Add mutation error on @id field for empty value" + gqlmutation: | + mutation addState($input: AddStateInput!) { + addState(input: [$input]) { + state { + name + } + } + } + gqlvariables: | + { "input": + { + "code": "", + "name": "NSW", + "country": { "id": "0x12" } + } + } + explanation: "The add mutation should not be allowed since value of @id field is empty." + error: + { "message": "failed to rewrite mutation payload because encountered an empty value for @id field `State.code`" } + +- + name: "Add mutation error on @id field for empty value (Nested)" + gqlmutation: | + mutation addCountry($input: AddCountryInput!) { + addCountry(input: [$input]) { + country { + name + } + } + } + gqlvariables: | + { "input": + { + "name": "Dgraph Land", + "states": [ { + "code": "", + "name": "Dgraph" + } ] + } + } + explanation: "The add mutation should not be allowed since value of @id field is empty." + error: + { "message": "failed to rewrite mutation payload because encountered an empty value for @id field `State.code`" } \ No newline at end of file diff --git a/graphql/resolve/mutation_rewriter.go b/graphql/resolve/mutation_rewriter.go index 275a0b4db73..fc521f31e4e 100644 --- a/graphql/resolve/mutation_rewriter.go +++ b/graphql/resolve/mutation_rewriter.go @@ -1154,6 +1154,13 @@ func rewriteObject( // e.g. to remove the text or // { "friends": null, ... } // to remove all friends + + // Fields with `id` directive cannot have empty values. + if fieldDef.HasIDDirective() && val == "" { + errFrag := newFragment(nil) + errFrag.err = fmt.Errorf("encountered an empty value for @id field `%s`", fieldName) + return &mutationRes{secondPass: []*mutationFragment{errFrag}} + } frags = &mutationRes{secondPass: []*mutationFragment{newFragment(val)}} } diff --git a/graphql/resolve/update_mutation_test.yaml b/graphql/resolve/update_mutation_test.yaml index e2d997a1a95..93b9fc276bb 100644 --- a/graphql/resolve/update_mutation_test.yaml +++ b/graphql/resolve/update_mutation_test.yaml @@ -1348,6 +1348,30 @@ } } +- name: "Update mutation error on @id field for empty value" + gqlmutation: | + mutation updateCountry($patch: UpdateCountryInput!) { + updateCountry(input: $patch) { + country { + id + } + } + } + gqlvariables: | + { + "patch": { + "filter": { + "id": ["0x123"] + }, + "set": { + "states": [ { "code": "", "name": "Alphabet" } ] + } + } + } + explanation: "The update mutation should not be allowed since value of @id field is empty." + error: + { "message": "failed to rewrite mutation payload because encountered an empty value for @id field `State.code`" } + - name: "Additional Deletes - Update references existing node by XID (updt single edge)" gqlmutation: | mutation updateComputerOwner($patch: UpdateComputerOwnerInput!) { diff --git a/graphql/schema/wrappers.go b/graphql/schema/wrappers.go index fffd01d06b3..41b722a8223 100644 --- a/graphql/schema/wrappers.go +++ b/graphql/schema/wrappers.go @@ -185,6 +185,7 @@ type FieldDefinition interface { Name() string Type() Type IsID() bool + HasIDDirective() bool Inverse() FieldDefinition // TODO - It might be possible to get rid of ForwardEdge and just use Inverse() always. ForwardEdge() FieldDefinition @@ -1358,6 +1359,13 @@ func (fd *fieldDefinition) IsID() bool { return isID(fd.fieldDef) } +func (fd *fieldDefinition) HasIDDirective() bool { + if fd.fieldDef == nil { + return false + } + return hasIDDirective(fd.fieldDef) +} + func hasIDDirective(fd *ast.FieldDefinition) bool { id := fd.Directives.ForName("id") return id != nil From fd0b4ad482c1446d4e15005b75dea06e4c44300a Mon Sep 17 00:00:00 2001 From: Apoorv Vardhan Date: Fri, 14 Aug 2020 16:42:19 +0530 Subject: [PATCH 058/151] feat(docs): Merge GraphQL docs (#6169) This PR adds GraphQL docs under Dgraph docs. --- wiki/config.toml | 20 +- wiki/content/_index.md | 24 ++ wiki/content/dql/_index.md | 7 + wiki/content/get-started/index.md | 1 + wiki/content/graphql/_index.md | 7 + wiki/content/graphql/admin/index.md | 140 +++++++ wiki/content/graphql/api/_index.md | 8 + wiki/content/graphql/api/api-overview.md | 23 ++ wiki/content/graphql/api/errors.md | 24 ++ wiki/content/graphql/api/fragments.md | 22 ++ wiki/content/graphql/api/multiples.md | 150 +++++++ wiki/content/graphql/api/requests.md | 205 ++++++++++ wiki/content/graphql/api/variables.md | 10 + wiki/content/graphql/authorization/_index.md | 8 + .../authorization/authorization-overview.md | 56 +++ .../graphql/authorization/directive.md | 204 ++++++++++ .../graphql/authorization/mutations.md | 112 ++++++ wiki/content/graphql/custom/_index.md | 8 + .../content/graphql/custom/custom-overview.md | 56 +++ wiki/content/graphql/custom/directive.md | 365 ++++++++++++++++++ wiki/content/graphql/custom/field.md | 82 ++++ wiki/content/graphql/custom/graphqlpm.md | 102 +++++ wiki/content/graphql/custom/mutation.md | 47 +++ wiki/content/graphql/custom/query.md | 69 ++++ wiki/content/graphql/dgraph/index.md | 111 ++++++ wiki/content/graphql/directives/index.md | 73 ++++ .../graphql/how-dgraph-graphql-works/index.md | 79 ++++ wiki/content/graphql/mutations/_index.md | 8 + wiki/content/graphql/mutations/add.md | 81 ++++ wiki/content/graphql/mutations/deep.md | 89 +++++ wiki/content/graphql/mutations/delete.md | 64 +++ .../graphql/mutations/mutations-overview.md | 147 +++++++ wiki/content/graphql/mutations/update.md | 98 +++++ wiki/content/graphql/overview/index.md | 74 ++++ wiki/content/graphql/queries/_index.md | 8 + wiki/content/graphql/queries/and-or-not.md | 53 +++ wiki/content/graphql/queries/cascade.md | 43 +++ wiki/content/graphql/queries/order-page.md | 30 ++ .../graphql/queries/queries-overview.md | 46 +++ .../graphql/queries/search-filtering.md | 173 +++++++++ wiki/content/graphql/queries/skip-include.md | 63 +++ wiki/content/graphql/quick-start/index.md | 259 +++++++++++++ wiki/content/graphql/schema/_index.md | 8 + wiki/content/graphql/schema/deprecated.md | 10 + wiki/content/graphql/schema/dgraph-schema.md | 76 ++++ wiki/content/graphql/schema/documentation.md | 14 + wiki/content/graphql/schema/graph-links.md | 126 ++++++ wiki/content/graphql/schema/ids.md | 52 +++ wiki/content/graphql/schema/reserved.md | 10 + .../content/graphql/schema/schema-overview.md | 15 + wiki/content/graphql/schema/search.md | 303 +++++++++++++++ wiki/content/graphql/schema/types.md | 131 +++++++ wiki/content/graphql/subscriptions/index.md | 38 ++ .../graphql/todo-app-tutorial/_index.md | 8 + .../graphql/todo-app-tutorial/deploy.md | 72 ++++ .../graphql/todo-app-tutorial/todo-UI.md | 330 ++++++++++++++++ .../todo-app-tutorial/todo-auth-rules.md | 57 +++ .../todo-app-tutorial/todo-auth0-jwt.md | 214 ++++++++++ .../todo-app-tutorial/todo-overview.md | 19 + .../todo-app-tutorial/todo-schema-design.md | 251 ++++++++++++ wiki/content/mutations/_index.md | 1 + wiki/content/query-language/_index.md | 2 +- wiki/content/slash-graphql/_index.md | 7 + wiki/content/slash-graphql/admin/_index.md | 8 + .../slash-graphql/admin/authentication.md | 17 + wiki/content/slash-graphql/admin/drop-data.md | 34 ++ .../slash-graphql/admin/import-export.md | 47 +++ wiki/content/slash-graphql/admin/overview.md | 22 ++ wiki/content/slash-graphql/admin/schema.md | 38 ++ .../content/slash-graphql/advanced-queries.md | 130 +++++++ wiki/content/slash-graphql/introduction.md | 22 ++ .../slash-graphql/slash-quick-start.md | 141 +++++++ wiki/content/tips/index.md | 1 + wiki/content/tutorials/index.md | 1 + .../images/graphql/subscription_example.gif | Bin 0 -> 4955576 bytes .../images/graphql/subscription_flow.png | Bin 0 -> 35787 bytes .../graphql/tutorial/todo/certificate.png | Bin 0 -> 133883 bytes .../graphql/tutorial/todo/dashboard.png | Bin 0 -> 103876 bytes .../images/graphql/tutorial/todo/jwt.png | Bin 0 -> 176110 bytes .../images/graphql/tutorial/todo/rule.png | Bin 0 -> 111884 bytes .../graphql/tutorial/todo/slash-graphql-1.png | Bin 0 -> 97094 bytes .../graphql/tutorial/todo/slash-graphql-2.png | Bin 0 -> 114358 bytes .../graphql/tutorial/todo/slash-graphql-3.png | Bin 0 -> 134480 bytes .../graphql/tutorial/todo/todo-graph-2.png | Bin 0 -> 20507 bytes .../graphql/tutorial/todo/todo-graph.png | Bin 0 -> 13789 bytes .../images/graphql/tutorial/todo/token.png | Bin 0 -> 63687 bytes 86 files changed, 5447 insertions(+), 7 deletions(-) create mode 100644 wiki/content/dql/_index.md create mode 100644 wiki/content/graphql/_index.md create mode 100644 wiki/content/graphql/admin/index.md create mode 100644 wiki/content/graphql/api/_index.md create mode 100644 wiki/content/graphql/api/api-overview.md create mode 100644 wiki/content/graphql/api/errors.md create mode 100644 wiki/content/graphql/api/fragments.md create mode 100644 wiki/content/graphql/api/multiples.md create mode 100644 wiki/content/graphql/api/requests.md create mode 100644 wiki/content/graphql/api/variables.md create mode 100644 wiki/content/graphql/authorization/_index.md create mode 100644 wiki/content/graphql/authorization/authorization-overview.md create mode 100644 wiki/content/graphql/authorization/directive.md create mode 100644 wiki/content/graphql/authorization/mutations.md create mode 100644 wiki/content/graphql/custom/_index.md create mode 100644 wiki/content/graphql/custom/custom-overview.md create mode 100644 wiki/content/graphql/custom/directive.md create mode 100644 wiki/content/graphql/custom/field.md create mode 100644 wiki/content/graphql/custom/graphqlpm.md create mode 100644 wiki/content/graphql/custom/mutation.md create mode 100644 wiki/content/graphql/custom/query.md create mode 100644 wiki/content/graphql/dgraph/index.md create mode 100644 wiki/content/graphql/directives/index.md create mode 100644 wiki/content/graphql/how-dgraph-graphql-works/index.md create mode 100644 wiki/content/graphql/mutations/_index.md create mode 100644 wiki/content/graphql/mutations/add.md create mode 100644 wiki/content/graphql/mutations/deep.md create mode 100644 wiki/content/graphql/mutations/delete.md create mode 100644 wiki/content/graphql/mutations/mutations-overview.md create mode 100644 wiki/content/graphql/mutations/update.md create mode 100644 wiki/content/graphql/overview/index.md create mode 100644 wiki/content/graphql/queries/_index.md create mode 100644 wiki/content/graphql/queries/and-or-not.md create mode 100644 wiki/content/graphql/queries/cascade.md create mode 100644 wiki/content/graphql/queries/order-page.md create mode 100644 wiki/content/graphql/queries/queries-overview.md create mode 100644 wiki/content/graphql/queries/search-filtering.md create mode 100644 wiki/content/graphql/queries/skip-include.md create mode 100644 wiki/content/graphql/quick-start/index.md create mode 100644 wiki/content/graphql/schema/_index.md create mode 100644 wiki/content/graphql/schema/deprecated.md create mode 100644 wiki/content/graphql/schema/dgraph-schema.md create mode 100644 wiki/content/graphql/schema/documentation.md create mode 100644 wiki/content/graphql/schema/graph-links.md create mode 100644 wiki/content/graphql/schema/ids.md create mode 100644 wiki/content/graphql/schema/reserved.md create mode 100644 wiki/content/graphql/schema/schema-overview.md create mode 100644 wiki/content/graphql/schema/search.md create mode 100644 wiki/content/graphql/schema/types.md create mode 100644 wiki/content/graphql/subscriptions/index.md create mode 100644 wiki/content/graphql/todo-app-tutorial/_index.md create mode 100644 wiki/content/graphql/todo-app-tutorial/deploy.md create mode 100644 wiki/content/graphql/todo-app-tutorial/todo-UI.md create mode 100644 wiki/content/graphql/todo-app-tutorial/todo-auth-rules.md create mode 100644 wiki/content/graphql/todo-app-tutorial/todo-auth0-jwt.md create mode 100644 wiki/content/graphql/todo-app-tutorial/todo-overview.md create mode 100644 wiki/content/graphql/todo-app-tutorial/todo-schema-design.md create mode 100644 wiki/content/slash-graphql/_index.md create mode 100644 wiki/content/slash-graphql/admin/_index.md create mode 100644 wiki/content/slash-graphql/admin/authentication.md create mode 100644 wiki/content/slash-graphql/admin/drop-data.md create mode 100644 wiki/content/slash-graphql/admin/import-export.md create mode 100644 wiki/content/slash-graphql/admin/overview.md create mode 100644 wiki/content/slash-graphql/admin/schema.md create mode 100644 wiki/content/slash-graphql/advanced-queries.md create mode 100644 wiki/content/slash-graphql/introduction.md create mode 100644 wiki/content/slash-graphql/slash-quick-start.md create mode 100644 wiki/static/images/graphql/subscription_example.gif create mode 100644 wiki/static/images/graphql/subscription_flow.png create mode 100644 wiki/static/images/graphql/tutorial/todo/certificate.png create mode 100644 wiki/static/images/graphql/tutorial/todo/dashboard.png create mode 100644 wiki/static/images/graphql/tutorial/todo/jwt.png create mode 100644 wiki/static/images/graphql/tutorial/todo/rule.png create mode 100644 wiki/static/images/graphql/tutorial/todo/slash-graphql-1.png create mode 100644 wiki/static/images/graphql/tutorial/todo/slash-graphql-2.png create mode 100644 wiki/static/images/graphql/tutorial/todo/slash-graphql-3.png create mode 100644 wiki/static/images/graphql/tutorial/todo/todo-graph-2.png create mode 100644 wiki/static/images/graphql/tutorial/todo/todo-graph.png create mode 100644 wiki/static/images/graphql/tutorial/todo/token.png diff --git a/wiki/config.toml b/wiki/config.toml index 275d2255766..bda030d40ad 100644 --- a/wiki/config.toml +++ b/wiki/config.toml @@ -1,17 +1,25 @@ +canonifyURLs = true languageCode = "en-us" theme = "hugo-docs" -canonifyURLs = true [markup.goldmark.renderer] unsafe = true [markup.highlight] -noClasses = false +codeFences = true +guessSyntax = false +hl_Lines = "" +lineNoStart = 1 +lineNos = false +lineNumbersInTable = true +noClasses = true +style = "vs" +tabWidth = 4 [markup.tableOfContents] - endLevel = 3 - ordered = false - startLevel = 2 +endLevel = 3 +ordered = false +startLevel = 2 # set by build script: title, baseurl -title = "Dgraph Documentation" \ No newline at end of file +title = "Dgraph Documentation" diff --git a/wiki/content/_index.md b/wiki/content/_index.md index edb33bd52ab..10bef7a2d57 100644 --- a/wiki/content/_index.md +++ b/wiki/content/_index.md @@ -17,6 +17,30 @@ Designed from the ground up to be run in production, Dgraph is the native GraphQ
+
+
+
+ }}"> + GraphQL + +
+

+ Get Started with GraphQL +

+
+
+
+
+
+ }}"> + Slash GraphQL + +
+

+ Slash GraphQL Provides /graphql Backend for Your App +

+
+
diff --git a/wiki/content/dql/_index.md b/wiki/content/dql/_index.md new file mode 100644 index 00000000000..50d0160cc03 --- /dev/null +++ b/wiki/content/dql/_index.md @@ -0,0 +1,7 @@ ++++ +title = "DQL" +[menu.main] + url = "/dql/" + identifier = "dql" + weight = 4 ++++ \ No newline at end of file diff --git a/wiki/content/get-started/index.md b/wiki/content/get-started/index.md index a496d02629e..a7672c9e61b 100644 --- a/wiki/content/get-started/index.md +++ b/wiki/content/get-started/index.md @@ -5,6 +5,7 @@ aliases = ["/get-started-old"] url = "/get-started" name = "Get Started" identifier = "get-started" + parent = "dql" weight = 2 +++ diff --git a/wiki/content/graphql/_index.md b/wiki/content/graphql/_index.md new file mode 100644 index 00000000000..700780eaecb --- /dev/null +++ b/wiki/content/graphql/_index.md @@ -0,0 +1,7 @@ ++++ +title = "GraphQL" +[menu.main] + url = "/graphql/" + identifier = "graphql" + weight = 3 ++++ diff --git a/wiki/content/graphql/admin/index.md b/wiki/content/graphql/admin/index.md new file mode 100644 index 00000000000..6bdeb6ffa63 --- /dev/null +++ b/wiki/content/graphql/admin/index.md @@ -0,0 +1,140 @@ ++++ +title = "Admin" +[menu.main] + url = "/graphql/admin/" + name = "Admin" + identifier = "graphql-admin" + parent = "graphql" + weight = 12 ++++ + +The admin API and how to run Dgraph with GraphQL. + +## Running + +The simplest way to start with Dgraph GraphQL is to run the all-in-one Docker image. + +``` +docker run -it -p 8080:8080 dgraph/standalone:master +``` + +That brings up GraphQL at `localhost:8080/graphql` and `localhost:8080/admin`, but is intended for quickstart and doesn't persist data. + +## Advanced Options + +Once you've tried out Dgraph GraphQL, you'll need to move past the `dgraph/standalone` and run and deploy Dgraph instances. + +Dgraph is a distributed graph database. It can scale to huge data and shard that data across a cluster of Dgraph instances. GraphQL is built into Dgraph in its Alpha nodes. To learn how to manage and deploy a Dgraph cluster to build an App check Dgraph's [Dgraph docs](https://docs.dgraph.io/), and, in particular, the [deployment guide](https://docs.dgraph.io/deploy/). + +GraphQL schema introspection is enabled by default, but can be disabled with the `--graphql_introspection=false` when starting the Dgraph alpha nodes. + +## Dgraph's schema + +Dgraph's GraphQL runs in Dgraph and presents a GraphQL schema where the queries and mutations are executed in the Dgraph cluster. So the GraphQL schema is backed by Dgraph's schema. + +**Warning: this means if you have a Dgraph instance and change its GraphQL schema, the schema of the underlying Dgraph will also be changed!** + +## /admin + +When you start Dgraph with GraphQL, two GraphQL endpoints are served. + +At `/graphql` you'll find the GraphQL API for the types you've added. That's what your app would access and is the GraphQL entry point to Dgraph. If you need to know more about this, see the quick start, example and schema docs. + +At `/admin` you'll find an admin API for administering your GraphQL instance. The admin API is a GraphQL API that serves POST and GET as well as compressed data, much like the `/graphql` endpoint. + +Here are the important types, queries, and mutations from the admin schema. + +```graphql +type GQLSchema { + id: ID! + schema: String! + generatedSchema: String! +} + +type UpdateGQLSchemaPayload { + gqlSchema: GQLSchema +} + +input UpdateGQLSchemaInput { + set: GQLSchemaPatch! +} + +input GQLSchemaPatch { + schema: String! +} + +type Query { + getGQLSchema: GQLSchema + health: Health +} + +type Mutation { + updateGQLSchema(input: UpdateGQLSchemaInput!) : UpdateGQLSchemaPayload +} +``` + +You'll notice that the /admin schema is very much the same as the schemas generated by Dgraph GraphQL. + +* The `health` query lets you know if everything is connected and if there's a schema currently being served at `/graphql`. +* The `getGQLSchema` query gets the current GraphQL schema served at `/graphql`, or returns null if there's no such schema. +* The `updateGQLSchema` mutation allows you to change the schema currently served at `/graphql`. + +## First Start + +On first starting with a blank database: + +* There's no schema served at `/graphql`. +* Querying the `/admin` endpoint for `getGQLSchema` returns `"getGQLSchema": null`. +* Querying the `/admin` endpoint for `health` lets you know that no schema has been added. + +## Adding Schema + +Given a blank database, running the `/admin` mutation: + +```graphql +mutation { + updateGQLSchema( + input: { set: { schema: "type Person { name: String }"}}) + { + gqlSchema { + schema + generatedSchema + } + } +} +``` + +would cause the following. + +* The `/graphql` endpoint would refresh and now serves the GraphQL schema generated from type `type Person { name: String }`: that's Dgraph type `Person` and predicate `Person.name: string .`; see [here](/graphql/dgraph) for how to customize the generated schema. +* The schema of the underlying Dgraph instance would be altered to allow for the new `Person` type and `name` predicate. +* The `/admin` endpoint for `health` would return that a schema is being served. +* The mutation returns `"schema": "type Person { name: String }"` and the generated GraphQL schema for `generatedSchema` (this is the schema served at `/graphql`). +* Querying the `/admin` endpoint for `getGQLSchema` would return the new schema. + +## Migrating Schema + +Given an instance serving the schema from the previous section, running an `updateGQLSchema` mutation with the following input + +```graphql +type Person { + name: String @search(by: [regexp]) + dob: DateTime +} +``` + +changes the GraphQL definition of `Person` and results in the following. + +* The `/graphql` endpoint would refresh and now serves the GraphQL schema generated from the new type. +* The schema of the underlying Dgraph instance would be altered to allow for `dob` (predicate `Person.dob: datetime .` is added, and `Person.name` becomes `Person.name: string @index(regexp).`) and indexes are rebuilt to allow the regexp search. +* The `health` is unchanged. +* Querying the `/admin` endpoint for `getGQLSchema` now returns the updated schema. + +## Removing from Schema + +Adding a schema through GraphQL doesn't remove existing data (it would remove indexes). For example, starting from the schema in the previous section and running `updateGQLSchema` with the initial `type Person { name: String }` would have the following effects. + +* The `/graphql` endpoint would refresh to serve the schema built from this type. +* Thus field `dob` would no longer be accessible and there'd be no search available on `name`. +* The search index on `name` in Dgraph would be removed. +* The predicate `dob` in Dgraph is left untouched - the predicate remains and no data is deleted. diff --git a/wiki/content/graphql/api/_index.md b/wiki/content/graphql/api/_index.md new file mode 100644 index 00000000000..fbb4fc17d8c --- /dev/null +++ b/wiki/content/graphql/api/_index.md @@ -0,0 +1,8 @@ ++++ +title = "The API" +[menu.main] + url = "/graphql/api/" + identifier = "api" + parent = "graphql" + weight = 5 ++++ \ No newline at end of file diff --git a/wiki/content/graphql/api/api-overview.md b/wiki/content/graphql/api/api-overview.md new file mode 100644 index 00000000000..7b977b9911b --- /dev/null +++ b/wiki/content/graphql/api/api-overview.md @@ -0,0 +1,23 @@ ++++ +title = "Overview" +[menu.main] + parent = "api" + identifier = "api-overview" + weight = 1 ++++ + +How to use the GraphQL API. + +Dgraph serves [spec-compliant +GraphQL](https://graphql.github.io/graphql-spec/June2018/) over HTTP to two endpoints: `/graphql` and `/admin`. + + +In Slash GraphQL `/graphql` and `/admin` are served from the domain of your backend, which will be something like `https://YOUR-SUBDOMAIN.REGION.aws.cloud.dgraph.io`. If you are running a self-hosted Dgraph instance that will be at the alpha port and url (which defaults to `http://localhost:8080` if you aren't changing any settings). + +In each case, both GET and POST requests are served. + +- `/graphql` is where you'll find the GraphQL API for the types you've added. That is the single GraphQL entry point for your apps to Dgraph. + +- `/admin` is where you'll find an admin API for administering your GraphQL instance. That's where you can update your GraphQL schema, perform health checks of your backend, and more. + +This section covers the API served at `/graphql`. See [Admin](/graphql/admin) to learn more about the admin API. diff --git a/wiki/content/graphql/api/errors.md b/wiki/content/graphql/api/errors.md new file mode 100644 index 00000000000..074981811bf --- /dev/null +++ b/wiki/content/graphql/api/errors.md @@ -0,0 +1,24 @@ ++++ +title = "GraphQL Error Propagation" +[menu.main] + parent = "api" + name = "GraphQL Errors" + weight = 6 ++++ + + + +Before returning query and mutation results, Dgraph uses the types in the schema to apply GraphQL [value completion](https://graphql.github.io/graphql-spec/June2018/#sec-Value-Completion) and [error handling](https://graphql.github.io/graphql-spec/June2018/#sec-Errors-and-Non-Nullability). That is, `null` values for non-nullable fields, e.g. `String!`, cause error propagation to parent fields. + +In short, the GraphQL value completion and error propagation mean the following. + +* Fields marked as nullable (i.e. without `!`) can return `null` in the json response. +* For fields marked as non-nullable (i.e. with `!`) Dgraph never returns null for that field. +* If an instance of type has a non-nullable field that has evaluated to null, the whole instance results in null. +* Reducing an object to null might cause further error propagation. For example, querying for a post that has an author with a null name results in null: the null name (`name: String!`) causes the author to result in null, and a null author causes the post (`author: Author!`) to result in null. +* Error propagation for lists with nullable elements, e.g. `friends [Author]`, can result in nulls inside the result list. +* Error propagation for lists with non-nullable elements results in null for `friends [Author!]` and would cause further error propagation for `friends [Author!]!`. + +Note that, a query that results in no values for a list will always return the empty list `[]`, not `null`, regardless of the nullability. For example, given a schema for an author with `posts: [Post!]!`, if an author has not posted anything and we queried for that author, the result for the posts field would be `posts: []`. + +A list can, however, result in null due to GraphQL error propagation. For example, if the definition is `posts: [Post!]`, and we queried for an author who has a list of posts. If one of those posts happened to have a null title (title is non-nullable `title: String!`), then that post would evaluate to null, the `posts` list can't contain nulls and so the list reduces to null. diff --git a/wiki/content/graphql/api/fragments.md b/wiki/content/graphql/api/fragments.md new file mode 100644 index 00000000000..8e4d9f05253 --- /dev/null +++ b/wiki/content/graphql/api/fragments.md @@ -0,0 +1,22 @@ ++++ +title = "GraphQL Fragements" +[menu.main] + parent = "api" + name = "GraphQL Fragements" + weight = 4 ++++ + +Documentation on GraphQL fragments is coming soon. + + \ No newline at end of file diff --git a/wiki/content/graphql/api/multiples.md b/wiki/content/graphql/api/multiples.md new file mode 100644 index 00000000000..9a587f95d0f --- /dev/null +++ b/wiki/content/graphql/api/multiples.md @@ -0,0 +1,150 @@ ++++ +title = "Multiple GraphQL Operations in a Request" +[menu.main] + parent = "api" + name = "Multiple GraphQL Operations in a Request" + weight = 5 ++++ + +GraphQL requests can contain one or more operations. Operations are one of `query`, `mutation`, or `subscription`. If a request only has one operation, then it can be unnamed like the following: + +## Single Operation + +The most basic request contains a single anonymous (unnamed) operation. Each operation can have one or more queries within in. For example, the following query has `query` operation running the queries "getTask" and "getUser": + +```graphql +query { + getTask(id: "0x3") { + id + title + completed + } + getUser(username: "dgraphlabs") { + username + } +} +``` + +Response: + +```json +{ + "data": { + "getTask": { + "id": "0x3", + "title": "GraphQL docs example", + "completed": true + }, + "getUser": { + "username": "dgraphlabs" + } + } +} +``` + +You can optionally name the operation as well, though it's not required if the request only has one operation as it's clear what needs to be executed. + +### Query Shorthand + +If a request only has a single query operation, then you can use the short-hand form of omitting the "query" keyword: + +```graphql +{ + getTask(id: "0x3") { + id + title + completed + } + getUser(username: "dgraphlabs") { + username + } +} +``` + +This simplfies queries when a query doesn't require an operation name or [variables](../variables). + +## Multiple Operations + +If a request has two or more operations, then each operation must have a name. A request can only execute one operation, so you must also include the operation name to execute in the request (see the "operations" field for [requests](../requests)). Every operation name in a request must be unique. + +For example, in the following request has the operation names "getTaskAndUser" and "completedTasks". + +```graphql +query getTaskAndUser { + getTask(id: "0x3") { + id + title + completed + } + queryUser(filter: {username: {eq: "dgraphlabs"}}) { + username + name + } +} + +query completedTasks { + queryTask(filter: {completed: true}) { + title + completed + } +} +``` + +When executing the following request (as an HTTP POST request in JSON format), specifying the "getTaskAndUser" operation executes the first query: + +```json +{ + "query": "query getTaskAndUser { getTask(id: \"0x3\") { id title completed } queryUser(filter: {username: {eq: \"dgraphlabs\"}}) { username name }\n}\n\nquery completedTasks { queryTask(filter: {completed: true}) { title completed }}", + "operationName": "getTaskAndUser" +} +``` + +```json +{ + "data": { + "getTask": { + "id": "0x3", + "title": "GraphQL docs example", + "completed": true + }, + "queryUser": [ + { + "username": "dgraphlabs", + "name": "Dgraph Labs" + } + ] + } +} +``` + +And specifying the "completedTasks" operation executes the second query: + +```json +{ + "query": "query getTaskAndUser { getTask(id: \"0x3\") { id title completed } queryUser(filter: {username: {eq: \"dgraphlabs\"}}) { username name }\n}\n\nquery completedTasks { queryTask(filter: {completed: true}) { title completed }}", + "operationName": "completedTasks" +} +``` + +```json +{ + "data": { + "queryTask": [ + { + "title": "GraphQL docs example", + "completed": true + }, + { + "title": "Show second operation", + "completed": true + } + ] + } +} +``` + +## Additional Details + +When an operation contains multiple queries, they are run concurrently and independently in a Dgraph readonly transaction per query. + +When an operation contains multiple mutations, they are run serially, in the order listed in the request, and in a transaction per mutation. If a mutation fails, the following mutations are not executed, and previous mutations are not rolled back. diff --git a/wiki/content/graphql/api/requests.md b/wiki/content/graphql/api/requests.md new file mode 100644 index 00000000000..0e1e71c75e9 --- /dev/null +++ b/wiki/content/graphql/api/requests.md @@ -0,0 +1,205 @@ ++++ +title = "Requests and Responses" +[menu.main] + parent = "api" + name = "Requests and Responses" + weight = 2 ++++ + +In this section, we'll cover the structure for GraphQL requests and responses, how to enable compression for them, and configuration options for extensions. + +## Requests + +GraphQL requests can be sent via HTTP POST or HTTP GET requests. + +POST requests sent with the Content-Type header `application/graphql` must have a POST body content as a GraphQL query string. For example, the following is a valid POST body for a query: + +```graphql +query { + getTask(id: "0x3") { + id + title + completed + user { + username + name + } + } +} +``` + +POST requests sent with the Content-Type header `application/json` must have a POST body in the following JSON format: + +```json +{ + "query": "...", + "operationName": "...", + "variables": { "var": "val", ... } +} +``` + +GET requests must be sent in the following format. The query, variables, and operation are sent as URL-encoded query parameters in the URL. + +``` +http://localhost:8080/graphql?query={...}&variables={...}&operation=... +``` + +In either request method (POST or GET), only `query` is required. `variables` is only required if the query contains GraphQL variables: i.e. the query starts like `query myQuery($var: String)`. `operationName` is only required if there are multiple operations in the query; in which case, operations must also be named. + +## Responses + +GraphQL responses are in JSON. Every response is a JSON map, and will include JSON keys for `"data"`, `"errors"`, or `"extensions"` following the GraphQL specification. They follow the following formats. + +Successful queries are in the following format: + +```json +{ + "data": { ... }, + "extensions": { ... } +} +``` + +Queries that have errors are in the following format. + +```json +{ + "errors": [ ... ], +} +``` + +All responses, including errors, always return HTTP 200 OK status codes. An error response will contain an `"errors"` field. + +### "data" field + +The "data" field contains the result of your GraphQL request. The response has exactly the same shape as the result. For example, notice that for the following query, the response includes the data in the exact shape as the query. + +Query: + +```graphql +query { + getTask(id: "0x3") { + id + title + completed + user { + username + name + } + } +} +``` + +Response: + +```json +{ + "data": { + "getTask": { + "id": "0x3", + "title": "GraphQL docs example", + "completed": true, + "user": { + "username": "dgraphlabs", + "name": "Dgraph Labs" + } + } + } +} +``` + +### "errors" field + +The "errors" field is a JSON list where each entry has a `"message"` field that describes the error and optionally has a `"locations"` array to list the specific line and column number of the request that points to the error described. For example, here's a possible error for the following query, where `getTask` needs to have an `id` specified as input: + +Query: +```graphql +query { + getTask() { + id + } +} +``` + +Response: +```json +{ + "errors": [ + { + "message": "Field \"getTask\" argument \"id\" of type \"ID!\" is required but not provided.", + "locations": [ + { + "line": 2, + "column": 3 + } + ] + } + ] +} +``` + +### "extensions" field + +The "extensions" field contains extra metadata for the request with metrics and trace information for the request. + +- `"touched_uids"`: The number of nodes that were touched to satisfy the request. This is a good metric to gauge the complexity of the query. +- `"tracing"`: Displays performance tracing data in [Apollo Tracing][apollo-tracing] format. This includes the duration of the whole query and the duration of each operation. + +[apollo-tracing]: https://github.com/apollographql/apollo-tracing + +Here's an example of a query response with the extensions field: + +```json +{ + "data": { + "getTask": { + "id": "0x3", + "title": "GraphQL docs example", + "completed": true, + "user": { + "username": "dgraphlabs", + "name": "Dgraph Labs" + } + } + }, + "extensions": { + "touched_uids": 9, + "tracing": { + "version": 1, + "startTime": "2020-07-29T05:54:27.784837196Z", + "endTime": "2020-07-29T05:54:27.787239465Z", + "duration": 2402299, + "execution": { + "resolvers": [ + { + "path": [ + "getTask" + ], + "parentType": "Query", + "fieldName": "getTask", + "returnType": "Task", + "startOffset": 122073, + "duration": 2255955, + "dgraph": [ + { + "label": "query", + "startOffset": 171684, + "duration": 2154290 + } + ] + } + ] + } + } + } +} +``` + +### Turn off extensions + +Extensions are returned in every response. These are completely optional. If you'd like to turn off extensions, you can set the config option `--graphql_extensions=false` in Dgraph Alpha. + +## Compression + +By default, requests and responses are not compressed. Typically, enabling compression saves from sending additional data to and from the backend while using a bit of extra processing time to do the compression. + +You can turn on compression for requests and responses by setting the standard HTTP headers. To send compressed requests, set HTTP header `Content-Encoding` to `gzip` to POST gzip-compressed data. To receive compressed responses, set the HTTP header `Accept-Encoding` to `gzip` in your request. diff --git a/wiki/content/graphql/api/variables.md b/wiki/content/graphql/api/variables.md new file mode 100644 index 00000000000..79e9333a330 --- /dev/null +++ b/wiki/content/graphql/api/variables.md @@ -0,0 +1,10 @@ ++++ +title = "GraphQL Variables" +[menu.main] + parent = "api" + name = "GraphQL Variables" + identifier = "graphql-variables" + weight = 3 ++++ + +Docs on using GraphQL variables in queries and mutations is coming soon. \ No newline at end of file diff --git a/wiki/content/graphql/authorization/_index.md b/wiki/content/graphql/authorization/_index.md new file mode 100644 index 00000000000..452cb49a5bc --- /dev/null +++ b/wiki/content/graphql/authorization/_index.md @@ -0,0 +1,8 @@ ++++ +title = "Authorization" +[menu.main] + url = "/graphql/authorization/" + identifier = "authorization" + parent = "graphql" + weight = 10 ++++ \ No newline at end of file diff --git a/wiki/content/graphql/authorization/authorization-overview.md b/wiki/content/graphql/authorization/authorization-overview.md new file mode 100644 index 00000000000..1a0305a5205 --- /dev/null +++ b/wiki/content/graphql/authorization/authorization-overview.md @@ -0,0 +1,56 @@ ++++ +title = "Overview" +[menu.main] + parent = "authorization" + identifier = "authorization-overview" + weight = 1 ++++ + +Dgraph GraphQL comes with inbuilt authorization. It allows you to annotate your schema with rules that determine who can access or mutate what data. + +Firstly, let's get some concepts defined. There are two important concepts in what's often called 'auth'. + +* authentication : who are you; and +* authorization : what are you allowed to do. + +Dgraph GraphQL deals with authorization, but is completely flexible about how your app does authentication. You could authenticate your users with a cloud service like OneGraph or Auth0, use some social sign in options, or write bespoke code. The connection between Dgraph and your authentication mechanism is a signed JWT - you tell Dgraph, for example, the public key of the JWT signer and Dgraph trusts JWTs signed by the corresponding private key. + +With an authentication mechanism set up, you then annotate your schema with the `@auth` directive to define your authorization rules, attach details of your authentication provider to the last line of the schema, and pass the schema to Dgraph. So your schema will follow this pattern. + +```graphql +type A @auth(...) { + ... +} + +type B @auth(...) { + ... +} + +# Dgraph.Authorization {"VerificationKey":"","Header":"","Namespace":"","Algo":"","Audience":[]} +``` + +* `Header` is the header in which requests will send the signed JWT +* `Namespace` is the key inside the JWT that contains the claims relevant to Dgraph auth +* `Algo` is JWT verification algorithm which can be either `HS256` or `RS256`, and +* `VerificationKey` is the string value of the key (newlines replaced with `\n`) wrapped in `""` +* `Audience` is used to verify `aud` field of JWT which might be set by certain providers. It indicates the intended audience for the JWT. This is an optional field. + +Valid examples look like + +`# Dgraph.Authorization {"VerificationKey":"verificationkey","Header":"X-My-App-Auth","Namespace":"https://my.app.io/jwt/claims","Algo":"HS256","Audience":["aud1","aud5"]}` + +Without audience field + +`# Dgraph.Authorization {"VerificationKey":"secretkey","Header":"X-My-App-Auth","Namespace":"https://my.app.io/jwt/claims","Algo":"HS256"}` + +for HMAC-SHA256 JWT with symmetric cryptography (the signing key and verification key are the same), and like + +`# Dgraph.Authorization {"VerificationKey":"-----BEGIN PUBLIC KEY-----\n...\n-----END PUBLIC KEY-----","Header":"X-My-App-Auth","Namespace":"https://my.app.io/jwt/claims","Algo":"RS256"}` + +for RSA Signature with SHA-256 asymmetric cryptography (the JWT is signed with the private key and Dgraph checks with the public key). + +Both cases expect the JWT to be in a header `X-My-App-Auth` and expect the JWT to contain custom claims object `"https://my.app.io/jwt/claims": { ... }` with the claims used in authorization rules. + +Note: authorization is in beta and some aspects may change - for example, it's possible that the method to specify the header, key, etc. will move into the /admin `updateGQLSchema` mutation that sets the schema. Some features are also in active improvement and development - for example, auth is supported an on types, but interfaces (and the types that implement them) don't correctly support auth in the current beta. + +--- diff --git a/wiki/content/graphql/authorization/directive.md b/wiki/content/graphql/authorization/directive.md new file mode 100644 index 00000000000..0e84a8faca4 --- /dev/null +++ b/wiki/content/graphql/authorization/directive.md @@ -0,0 +1,204 @@ ++++ +title = "The `@auth` directive" +[menu.main] + parent = "authorization" + weight = 2 ++++ + +Given an authentication mechanism and signed JWT, it's the `@auth` directive that tells Dgraph how to apply authorization. The directive can be used on any type (that isn't a `@remote` type) and specifies the authorization for `query` as well as `add`, `update` and `delete` mutations. + +In each case, `@auth` specifies rules that Dgraph applies during queries and mutations. Those rules are expressed in exactly the same syntax as GraphQL queries. Why? Because the authorization you add to your app is about the graph of your application, so graph rules make sense. It's also the syntax you already know about, you get syntax help from GraphQL tools in writing such rules, and it turns out to be exactly the kinds of rules Dgraph already knows how to evaluate. + +Here's how the rules work. + +## Authorization rules + +A valid type and rule looks like the following. + +```graphql +type Todo @auth( + query: { rule: """ + query ($USER: String!) { + queryTodo(filter: { owner: { eq: $USER } } ) { + id + } + }""" + } +){ + id: ID! + text: String! @search(by: [term]) + owner: String! +} +``` + +Here we define a type `Todo`, that's got an `id`, the `text` of the todo and the username of the `owner` of the todo. What todos can a user query? Any `Todo` that the `query` rule would also return. + +The `query` rule in this case expects the JWT to contain a claim `"USER": "..."` giving the username of the logged in user, and says: you can query any todo that has your username as the owner. + +In this example we use the `queryTodo` query that will be auto generated after uploading this schema. When using a query in a rule, you can only use the `queryTypeName` query. Where `TypeName` matches the name of where the `@auth` directive is attached. In other words, we could not have used the `getTodo` query in our rule above to query by id only. + +This rule is applied automatically at query time. For example, the query + +```graphql +query { + queryTodo { + id + text + } +} +``` + +will return only the todo's where `owner` equals `amit`, when Amit is logged in and only the todos owned by `nancy` when she's logged into your app. + +Similarly, + +```graphql +query { + queryTodo(filter: { text: { anyofterms: "graphql"}}, first: 10, order: { asc: text }) { + id + text + } +} +``` + +will return the first ten todos, ordered ascending by title of the user that made the query. + +This means your frontend doesn't need to be sensitive to the auth rules. Your app can simply query for the todos and that query behaves properly depending on who's logged in. + +In general, an auth rule should select a field that's expected to exist at the inner most field, often that's the `ID` or `@id` field. Auth rules are run in a mode that requires all fields in the rule to find a value in order to succeed. + +## Graph traversal in auth rules + +Often authorization depends not on the object being queried, but on the connections in the graph that object has or doesn't have. Because the auth rules are graph queries, they can express very powerful graph search and traversal. + +For a simple todo app, it's more likely that you'll have types like this: + +```graphql +type User { + username: String! @id + todos: [Todo] +} + +type Todo { + id: ID! + text: String! + owner: User +} +``` + +This means your auth rule for todos will depend not on a value in the todo, but on checking which owner it's linked to. This means our auth rule must make a step further into the graph to check who the owner is. + +```graphql +query ($USER: String!) { + queryTodo { + owner(filter: { username: { eq: $USER } } ) { + username + } + } +} +``` + +You can express a lot with these kinds of graph traversals. For example, multitenancy rules can express that you can only see an object if it's linked (through what ever graph search you define) to the organization you were authenticated from. That means your app can split data per customer easily. + +You can also express rules that can be administered by the app itself. You might define type `Role` and enum `Privileges` that can have values like `VIEW`, `ADD`, etc. and state in your auth rules that a user needs to have a role with particular privileges to query/add/update/delete and those roles can then be allocated inside the app. For example, in an app about project management, when a project is created the admin can decide which users have view or edit permission, etc. + +## Role Based Access Control + +As well as rules that relate a user's claims to a graph traversal, role based access control rules are also possible. These rules relate a claim in the JWT to a known value. + +For example, perhaps only someone logged in with the `ADMIN` role is allowed to delete users. For that, we might expect the JWT to contain a claim `"ROLE": "ADMIN"`, and can thus express a rule that only allows users with the `ADMIN` claim to delete. + +```graphql +type User @auth( + delete: { rule: "{$ROLE: { eq: \"ADMIN\" } }"} +) { + username: String! @id + todos: [Todo] +} +``` + +Not all claims need to be present in all JWTs. For example, if the `ROLE` claim isn't present in a JWT, any rule that relies on `ROLE` simply evaluates to false. As well as simplifying your JWTs (e.g. not all users need a role if it doesn't make sense to do so), this means you can also simply disallow some queries and mutations. If you know that your JWTs never contain the claim `DENIED`, then a rule such as + +```graphql +type User @auth( + delete: { rule: "{$DENIED: { eq: \"DENIED\" } }"} +) { + ... +} +``` + +can never be true and this would prevent users ever being deleted. + +## and, or & not + +Rules can be combined with the logical connectives and, or and not, so a permission can be a mixture of graph traversals and role based rules. + +In the todo app, you can express, for example, that you can delete a `Todo` if you are the author, or are the site admin. + +```graphql +type Todo @auth( + delete: { or: [ + { rule: "query ($USER: String!) { ... }" }, # you are the author graph query + { rule: "{$ROLE: { eq: \"ADMIN\" } }" } + ]} +) +``` + +## Public Data + +Many apps have data that can be accessed by anyone, logged in or not. That also works nicely with Dgraph auth rules. + +For example, in Twitter, StackOverflow, etc. you can see authors and posts without being signed it - but you'd need to be signed in to add a post. With Dgraph auth rules, if a type doesn't have, for example, a `query` auth rule or the auth rule doesn't depend on a JWT value, then the data can be accessed without a signed JWT. + +For example, the todo app might allow anyone, logged in or not, to view any author, but not make any mutations unless logged in as the author or an admin. That would be achieved by rules like the following. + +```graphql +type User @auth( + # no query rule + add: { rule: "{$ROLE: { eq: \"ADMIN\" } }" }, + update: ... + delete: ... +) { + username: String! @id + todos: [Todo] +} +``` + +Maybe some todos can be marked as public and users you aren't logged in can see those. + +```graphql +type Todo @auth( + query: { or: [ + # you are the author + { rule: ... }, + # or, the todo is marked as public + { rule: """query { + queryTodo(filter: { isPublic: { eq: true } } ) { + id + } + }"""} + ]} +) { + ... + isPublic: Boolean +} + +``` + +Because the rule doesn't depend on a JWT value, it can be successfully evaluated for users who aren't logged in. + +Ensuring that requests are from an authenticated JWT, and no further restrictions, can be done by arranging the JWT to contain a value like `"isAuthenticated": "true"`. For example, + + +```graphql +type User @auth( + query: { rule: "{$isAuthenticated: { eq: \"true\" } }" }, +) { + username: String! @id + todos: [Todo] +} +``` + +specifies that only authenticated users can query other users. + +--- diff --git a/wiki/content/graphql/authorization/mutations.md b/wiki/content/graphql/authorization/mutations.md new file mode 100644 index 00000000000..9ad219712ab --- /dev/null +++ b/wiki/content/graphql/authorization/mutations.md @@ -0,0 +1,112 @@ ++++ +title = "Mutations" +[menu.main] + parent = "authorization" + weight = 3 ++++ + +Mutations with auth work similarly to query. However, mutations involve a state change in the database, so it's important to understand when the rules are applied and what they mean. + +## Add + +Rules for `add` authorization state that the rule must hold of nodes created by the mutation data once committed to the database. + +For example, a rule such as: + +```graphql +type Todo @auth( + add: { rule: """ + query ($USER: String!) { + queryTodo { + owner(filter: { username: { eq: $USER } } ) { + username + } + } + }""" + } +){{ + id: ID! + text: String! + owner: User +} + +type User { + username: String! @id + todos: [Todo] +} +``` + +states that if you add a new todo, then that new todo must be a todo that satisfies the `add` rule, in this case saying that you can only add todos with yourself as the author. + +## Delete + +Delete rules filter the nodes that can be deleted. A user can only ever delete a subset of the nodes that the `delete` rules allow. + +For example, this rule states that a user can delete a todo if they own it, or they have the `ADMIN` role. + +```graphql +type Todo @auth( + delete: { or: [ + { rule: """ + query ($USER: String!) { + queryTodo { + owner(filter: { username: { eq: $USER } } ) { + username + } + } + }""" + }, + { rule: "{$ROLE: { eq: \"ADMIN\" } }"} + ]} +){{ + id: ID! + text: String! @search(by: [term]) + owner: User +} + +type User { + username: String! @id + todos: [Todo] +} +``` + +So a mutation like: + +```graphql +mutation { + deleteTodo(filter: { text: { anyofterms: "graphql" } }) { + numUids + } +} +``` + +for most users would delete their own posts that contain the term "graphql", but wouldn't affect any other user's todos; for an admin, it would delete any users posts that contain "graphql" + +For add, what matters is the resulting state of the database, for delete it's the state before the delete occurs. + +## Update + +Updates have both a before and after state that can be important for auth. + +For example, consider a rule stating that you can only update your own todos. If evaluated in the database before the mutation, like the delete rules, it would prevent you updating anyone elses todos, but does it stop you updating your own todo to have a different `owner`. If evaluated in the database after the mutation occurs, like for add rules, it would stop setting the `owner` to another user, but would it prevent editing other's posts. + +Currently, Dgraph evaluates `update` rules _before_ the mutation. Our auth support is still in beta and we may extend this for example to make the `update` rule an invariant of the mutation, or enforce pre and post conditions, or even allow custom logic to validate the update data. + +## Update and Add + +Update mutations can also insert new data. For example, you might allow a mutation that runs an update mutation to add a new todo. + +```graphql +mutation { + updateUser(input: { + filter: { username: { eq: "aUser" }}, + set: { todos: [ { text: "do this new todo"} ] } + }) { + ... + } +} +``` + +Such a mutation updates a user's todo list by inserting a new todo. It would have to satisfy the rules to update the author _and_ the rules to add a todo. If either fail, the mutation has no effect. + +--- \ No newline at end of file diff --git a/wiki/content/graphql/custom/_index.md b/wiki/content/graphql/custom/_index.md new file mode 100644 index 00000000000..08c6e0a7c61 --- /dev/null +++ b/wiki/content/graphql/custom/_index.md @@ -0,0 +1,8 @@ ++++ +title = "Custom Resolvers" +[menu.main] + url = "/graphql/custom/" + identifier = "custom" + parent = "graphql" + weight = 9 ++++ \ No newline at end of file diff --git a/wiki/content/graphql/custom/custom-overview.md b/wiki/content/graphql/custom/custom-overview.md new file mode 100644 index 00000000000..ebc71b08c38 --- /dev/null +++ b/wiki/content/graphql/custom/custom-overview.md @@ -0,0 +1,56 @@ ++++ +title = "Overview" +[menu.main] + parent = "custom" + identifier = "custom-resolvers-overview" + weight = 1 ++++ + +Dgraph creates a GraphQL API from nothing more than GraphQL types. That's great, and gets you moving fast from an idea to a running app. However, at some point, as your app develops, you might want to customize the behaviour of your schema. + +In Dgraph, you do that with code (in any language you like) that implements custom resolvers. + +Dgraph doesn't execute your custom logic itself. It makes external HTTP requests. That means, you can deploy your custom logic into the same Kubernetes cluster as your Dgraph instance, deploy and call, for example, AWS Lambda functions, or even make calls to existing HTTP and GraphQL endpoints. + +## The `@custom` directive + +There are three places you can use the `@custom` directive and thus tell Dgraph where to apply custom logic. + +1) You can add custom queries to the Query type + +```graphql +type Query { + myCustomQuery(...): QueryResultType @custom(...) +} +``` + +2) You can add custom mutations to the Mutation type + +```graphql +type Mutation { + myCustomMutation(...): MutationResult @custom(...) +} +``` + +3) You can add custom fields to your types + +```graphql +type MyType { + ... + customField: FieldType @custom(...) + ... +} +``` + +## Learn more + +Find out more about the `@custom` directive [here](../directive), or check out: + +* [custom query examples](../query) +* [custom mutation examples](../mutation), or +* [custom field examples](../field) + + + + +--- diff --git a/wiki/content/graphql/custom/directive.md b/wiki/content/graphql/custom/directive.md new file mode 100644 index 00000000000..355063e927b --- /dev/null +++ b/wiki/content/graphql/custom/directive.md @@ -0,0 +1,365 @@ ++++ +title = "The `@custom` directive" +[menu.main] + parent = "custom" + weight = 2 ++++ + +The `@custom` directive is used to define custom queries, mutations and fields. + +In all cases, the result type (of the query, mutation or field) can be either: + +* a type that's stored in Dgraph (that's any type you've defined in your schema), or +* a type that's not stored in Dgraph and is marked with the `@remote` directive. + +Because the result types can be local or remote, you can call other HTTP endpoints, call remote GraphQL, or even call back to your Dgraph instance to add extra logic on top of Dgraph's graph search or mutations. + +Here's the GraphQL definition of the directives: + +```graphql +directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @remote on OBJECT | INTERFACE + +input CustomHTTP { + url: String! + method: HTTPMethod! + body: String + graphql: String + mode: Mode + forwardHeaders: [String!] + secretHeaders: [String!] + introspectionHeaders: [String!] + skipIntrospection: Boolean +} + +enum HTTPMethod { GET POST PUT PATCH DELETE } +enum Mode { SINGLE BATCH } +``` + +Each definition of custom logic must include: + +* the `url` where the custom logic is called. This can include a path and parameters that depend on query/mutation arguments or other fields. +* the HTTP `method` to use in the call. For example, when calling a REST endpoint with `GET`, `POST`, etc. + +Optionally, the custom logic definition can also include: + +* a `body` definition that can be used to construct a HTTP body from from arguments or fields. +* a list of `forwardHeaders` to take from the incoming request and add to the outgoing HTTP call. +Used, for example, if the incoming request contains an auth token that must be passed to the custom logic. +* a list of `secretHeaders` to take from the `Dgraph.Secret` defined in the schema file and add to the outgoing HTTP call. +Used, for example, for a server side API key and other static value that must be passed to the custom logic. +* the `graphql` query/mutation to call if the custom logic is a GraphQL server and whether to introspect or not (`skipIntrospection`) the remote GraphQL endpoint. +* `mode` which is used for resolving fields by calling an external GraphQL query/mutation. It can either be `BATCH` or `SINGLE`. +* a list of `introspectionHeaders` to take from the `Dgraph.Secret` defined in the schema file and added to the +introspection requests sent to the `graphql` query/mutation. + + +The result type of custom queries and mutations can be any object type in your schema, including `@remote` types. For custom fields the type can be object types or scalar types. + +The `method` can be any of the HTTP methods: `GET`, `POST`, `PUT`, `PATCH`, or `DELETE`, and `forwardHeaders` is a list of headers that should be passed from the incoming request to the outgoing HTTP custom request. Let's look at each of the other `http` arguments in detail. + +## Dgraph.Secret + +Sometimes you might want to forward some static headers to your custom API which can't be exposed +to the client. This could be an API key from a payment processor or an auth token for your organization +on GitHub. These secrets can be specified as comments in the schema file and then can be used in +`secretHeaders` and `introspectionHeaders` while defining the custom directive for a field/query. + + +```graphql + type Query { + getTopUsers(id: ID!): [User] @custom(http: { + url: "http://api.github.com/topUsers", + method: "POST", + introspectionHeaders: ["Github-Api-Token"], + secretHeaders: ["Authorization:Github-Api-Token"], + graphql: "..." + }) +} + +# Dgraph.Secret Github-Api-Token "long-token" +``` + +In the above request, `Github-Api-Token` would be sent as a header with value `long-token` for +the introspection request. For the actual request, the value `Authorization` would be sent along with +the value `long-token`. Note `Authorization:Github-Api-Token` syntax tells us to use the value for the +`Github-Api-Token` dgraph secret but to forward it to the custom API with the header key as `Authorization`. + + +## The URL and method + +The URL can be as simple as a fixed URL string, or include details drawn from the arguments or fields. + +A simple string might look like: + +```graphql +type Query { + myCustomQuery: MyResult @custom(http: { + url: "https://my.api.com/theQuery", + method: GET + }) +} +``` + +While, in more complex cases, the arguments of the query/mutation can be used as a pattern for the URL: + +```graphql +type Query { + myGetPerson(id: ID!): Person @custom(http: { + url: "https://my.api.com/person/$id", + method: GET + }) + + getPosts(authorID: ID!, numToFetch: Int!): [Post] @custom(http: { + url: "https://my.api.com/person/$authorID/posts?limit=$numToFetch", + method: GET + }) +} +``` + +In this case, a query like + +```graphql +query { + getPosts(authorID: "auth123", numToFetch: 10) { + title + } +} +``` + +gets transformed to an outgoing HTTP GET request to the URL `https://my.api.com/person/auth123/posts?limit=10`. + +When using custom logic on fields, the URL can draw from other fields in the type. For example: + +```graphql +type User { + username: String! @id + ... + posts: [Post] @custom(http: { + url: "https://my.api.com/person/$username/posts", + method: GET + }) +} +``` + +Note that: + +* Fields or arguments used in the path of a URL, such as `username` or `authorID` in the exapmles above, must be marked as non-nullable (have `!` in their type); whereas, those used in parameters, such as `numToFetch`, can be nullable. +* Currently, only scalar fields or arguments are allowed to be used in URLs or bodies; though, see body below, this doesn't restrict the objects you can construct and pass to custom logic functions. +* Currently, the body can only contain alphanumeric characters in the key and other characters like `_` are not yet supported. +* Currently, constant values are not also not allowed in the body template. This would soon be supported. + +## The body + +Many HTTP requests, such as add and update operations on REST APIs, require a JSON formatted body to supply the data. In a similar way to how `url` allows specifying a url pattern to use in resolving the custom request, Dgraph allows a `body` pattern that is used to build HTTP request bodies. + +For example, this body can be structured JSON that relates a mutation's arguments to the JSON structure required by the remote endpoint. + +```graphql +type Mutation { + newMovie(title: String!, desc: String, dir: ID, imdb: ID): Movie @custom(http: { + url: "http://myapi.com/movies", + method: "POST", + body: "{ title: $title, imdbID: $imdb, storyLine: $desc, director: { id: $dir }}", + }) +``` + +A request with `newMovie(title: "...", desc: "...", dir: "dir123", imdb: "tt0120316")` is transformed into a `POST` request to `http://myapi.com/movies` with a JSON body of: + +```json +{ + "title": "...", + "imdbID": "tt0120316", + "storyLine": "...", + "director": { + "id": "dir123" + } +} +``` + +`url` and `body` templates can be used together in a single custom definition. + +For both `url` and `body` templates, any non-null arguments or fields must be present to evaluate the custom logic. And the following rules are applied when building the request from the template for nullable arguments or fields. + +* If the value of a nullable argument is present, it's used in the template. +* If a nullable argument is present, but null, then in a body `null` is inserted, while in a url nothing is added. For example, if the `desc` argument above is null then `{ ..., storyLine: null, ...}` is constructed for the body. Whereas, in a URL pattern like `https://a.b.c/endpoint?arg=$gqlArg`, if `gqlArg` is present, but null, the generated URL is `https://a.b.c/endpoint?arg=`. +* If a nullable argument is not present, nothing is added to the URL/body. That would mean the constructed body would not contain `storyLine` if the `desc` argument is missing, and in `https://a.b.c/endpoint?arg=$gqlArg` the result would be `https://a.b.c/endpoint` if `gqlArg` were not present in the request arguments. + +## Calling GraphQL custom resolvers + +Custom queries, mutations and fields can be implemented by custom GraphQL resolvers. In this case, use the `graphql` argument to specify which query/mutation on the remote server to call. The syntax includes if the call is a query or mutation, the arguments, and what query/mutation to use on the remote endpoint. + +For example, you can pass arguments to queries onward as arguments to remote GraphQL endpoints: + +```graphql +type Query { + getPosts(authorID: ID!, numToFetch: Int!): [Post] @custom(http: { + url: "https://my.api.com/graphql", + method: POST, + graphql: "query($authorID: ID!, $numToFetch: Int!) { posts(auth: $authorID, first: $numToFetch) }" + }) +} +``` + +You can also define your own inputs and pass those to the remote GraphQL endpoint. + +```graphql +input NewMovieInput { ... } + +type Mutation { + newMovie(input: NewMovieInput!): Movie @custom(http: { + url: "http://movies.com/graphql", + method: "POST", + graphql: "mutation($input: NewMovieInput!) { addMovie(data: $input) }", + }) +``` + +When a schema is uploaded, Dgraph will try to introspect the remote GraphQL endpoints on any custom logic that uses the `graphql` argument. From the results of introspection, it tries to match up arguments, input and object types to ensure that the calls to and expected responses from the remote GraphQL make sense. + +If that introspection isn't possible, set `skipIntrospection: true` in the custom definition and Dgraph won't perform GraphQL schema introspection for this custom definition. + +## Remote types + +Any type annotated with the `@remote` directive is not stored in Dgraph. This allows your Dgraph GraphQL instance to serve an API that includes both data stored locally and data stored or generated elsewhere. You can also use custom fields, for example, to join data from disparate datasets. + +Remote types can only be returned by custom resolvers and Dgraph won't generate any search or CRUD operations for remote types. + +The schema definition used to define your Dgraph GraphQL API must include definitions of all the types used. If a custom logic call returns a type not stored in Dgraph, then that type must be added to the Dgraph schema with the `@remote` directive. + +For example, you api might use custom logic to integrate with GitHub, using either `https://api.github.com` or the GitHub GraphQL api `https://api.github.com/graphql` and calling the `user` query. Either way, your GraphQL schema will need to include the type you expect back from that remote call. That could be linking a `User` as stored in your Dgraph instance with the `Repository` data from GitHub. With `@remote` types, that's as simple as adding the type and custom call to your schema. + +```graphql +# GitHub's repository type +type Respository @remote { ... } + +# Dgraph user type +type User { + # local user name = GitHub id + username: String! @id + + # ... + # other data stored in Dgraph + # ... + + # join local data with remote + repositories: [Repository] @custom(http: { + url: "https://api.github.com/users/$username/repos", + method: GET + }) +} +``` + +Just defining the connection is all it takes and then you can ask a single GraphQL query that performs a local query and joins with (potentialy many) remote data sources. + +## How Dgraph processes custom results + +Given types like + +```graphql +type Post @remote { + id: ID! + title: String! + datePublished: DateTime + author: Author +} + +type Author { ... } +``` + +and a custom query + +```graphql +type Query { + getCustomPost(id: ID!): Post @custom(http: { + url: "https://my.api.com/post/$id", + method: GET + }) + + getPosts(authorID: ID!, numToFetch: Int!): [Post] @custom(http: { + url: "https://my.api.com/person/$authorID/posts?limit=$numToFetch", + method: GET + }) +} +``` + +Dgraph turns the `getCustomPost` query into a HTTP request to `https://my.api.com/post/$id` and expects a single JSON object with fields `id`, `title`, `datePublished` and `author` as result. Any additional fields are ignored, while if non-nullable fields (like `id` and `title`) are missing, GraphQL error propagation will be triggered. + +For `getPosts`, Dgraph expects the HTTP call to `https://my.api.com/person/$authorID/posts?limit=$numToFetch` to return a JSON array of JSON objects, with each object matching the `Post` type as described above. + +If the custom resolvers are GraphQL calls, like: + +```graphql +type Query { + getCustomPost(id: ID!): Post @custom(http: { + url: "https://my.api.com/graphql", + method: POST, + graphql: "query(id: ID) { post(postID: $id) }" + }) + + getPosts(authorID: ID!, numToFetch: Int!): [Post] @custom(http: { + url: "https://my.api.com/graphql", + method: POST, + graphql: "query(id: ID) { postByAuthor(authorID: $id, first: $numToFetch) }" + }) +} +``` + +then Dgraph expects a GraphQL call to `post` to return a valid GraphQL result like `{ "data": { "post": {...} } }` and will use the JSON object that is the value of `post` as the data resolved by the request. + +Similarly, Dgraph expects `postByAuthor` to return data like `{ "data": { "postByAuthor": [ {...}, ... ] } }` and will use the array value of `postByAuthor` to build its array of posts result. + + +## How custom fields are resolved + +When evaluating a request that includes custom fields, Dgraph might run multiple resolution stages to resolve all the fields. Dgraph must also ensure it requests enough data to forfull the custom fields. For example, given the `User` type defined as: + +```graphql +type User { + username: String! @id + ... + posts: [Post] @custom(http: { + url: "https://my.api.com/person/$username/posts", + method: GET + }) +} +``` + +a query such as: + +```graphql +query { + queryUser { + username + posts + } +} +``` + +is executed by first querying in Dgraph for `username` and then using the result to resolve the custom field `posts` (which relies on `username`). For a request like: + +```graphql +query { + queryUser { + posts + } +} +``` + +Dgraph works out that it must first get `username` so it can run the custom field `posts`, even though `username` isn't part of the original query. So Dgraph retrieves enough data to satisfy the custom request, even if that involves data that isn't asked for in the query. + +There are currently a few limitations on custom fields: + +* each custom call must include either an `ID` or `@id` field +* arguments are not allowed (soon custom field arguments will be allowed and will be used in the `@custom` directive in the same manner as for custom queries and mutations), and +* a custom field can't depend on another custom field (longer term, we intend to lift this restriction). + +## Restrictions / Roadmap + +Our custom logic is still in beta and we are improving it quickly. Here's a few points that we plan to work on soon: + +* adding arguments to custom fields +* relaxing the restrictions on custom fields using id values +* iterative evaluation of `@custom` and `@remote` - in the current version you can't have `@custom` inside an `@remote` type once we add this, you'll be able to extend remote types with custom fields, and +* allowing fine tuning of the generated API, for example removing of customizing the generated CRUD mutations. + +--- diff --git a/wiki/content/graphql/custom/field.md b/wiki/content/graphql/custom/field.md new file mode 100644 index 00000000000..3c77d1109fc --- /dev/null +++ b/wiki/content/graphql/custom/field.md @@ -0,0 +1,82 @@ ++++ +title = "Custom Fields" +[menu.main] + parent = "custom" + weight = 5 ++++ + +Custom fields allow you to extend your types with custom logic as well as make joins between your local data and remote data. + +Let's say we are building an app for managing projects. Users will login with their GitHub id and we want to connect some data about their work stored in Dgraph with say their GitHub profile, issues, etc. + +Our first version of our users might start out with just their GitHub username and some data about what projects they are working on. + +```graphql +type User { + username: String! @id + projects: [Project] + tickets: [Ticket] +} +``` + +We can then add their GitHub repositories by just extending the definitions with the types and custom field needed to make the remote call. + +```graphql +# GitHub's repository type +type Repository @remote { ... } + +# Dgraph user type +type User { + # local user name = GitHub id + username: String! @id + + # join local data with remote + repositories: [Repository] @custom(http: { + url: "https://api.github.com/users/$username/repos", + method: GET + }) +} +``` + +We could similarly join with say the GitHub user details, or open pull requests, to further fill out the join between GitHub and our local data. Instead of the REST API, let's use the GitHub GraphQL endpoint + + +```graphql +# GitHub's User type +type GitHubUser @remote { ... } + +# Dgraph user type +type User { + # local user name = GitHub id + username: String! @id + + # join local data with remote + gitDetails: GitHubUser @custom(http: { + url: "https://api.github.com/graphql", + method: POST, + graphql: "query(username: String!) { user(login: $username) }", + skipIntrospection: true + }) +} +``` + +Perhaps our app has some measure of their volocity that's calculated by a custom function that looks at both their GitHub commits and some other places where work is added. Soon we'll have a schema where we can render a user's home page, the projects they work on, their open tickets, their GitHub details, etc. in a single request that queries across multiple sources and can mix Dgraph filtering with external calls. + +```graphql +query { + getUser(id: "aUser") { + username + projects(order: { asc: lastUpdate }, first: 10) { + projectName + } + tickets { + connectedGitIssue { ... } + } + velocityMeasure + gitDetails { ... } + repositories { ... } + } +} +``` + +--- diff --git a/wiki/content/graphql/custom/graphqlpm.md b/wiki/content/graphql/custom/graphqlpm.md new file mode 100644 index 00000000000..8a5fbf0a67b --- /dev/null +++ b/wiki/content/graphql/custom/graphqlpm.md @@ -0,0 +1,102 @@ ++++ +title = "Custom DQL" +[menu.main] + parent = "custom" + weight = 6 ++++ + +At present, it is an experimental feature in master. You can specify the DQL (aka GraphQL+-) query you want to execute +while running a custom GraphQL query, and Dgraph's GraphQL API will execute that for you. + +It helps to build logic that you can't do with the current GraphQL CRUD API. + +For example, lets say you had following schema: +```graphql +type Tweets { + id: ID! + text: String! @search(by: [fulltext]) + author: User + timestamp: DateTime! @search +} +type User { + screen_name: String! @id + followers: Int @search + tweets: [Tweets] @hasInverse(field: author) +} +``` + +and you wanted to query tweets containing some particular text sorted by the number of followers their author has. Then, +this is not possible with the automatically generated CRUD API. Similarly, let's say you have a table sort of UI +component in your application which displays only a user's name and the number of tweets done by that user. Doing this +with the auto-generated CRUD API would require you to fetch unnecessary data at client side, and then employ client side +logic to find the count. Instead, all this could simply be achieved by specifying a DQL query for such custom use-cases. + +So, you would need to modify your schema like this: +```graphql +type Tweets { + id: ID! + text: String! @search(by: [fulltext]) + author: User + timestamp: DateTime! @search +} +type User { + screen_name: String! @id + followers: Int @search + tweets: [Tweets] @hasInverse(field: author) +} +type UserTweetCount @remote { + screen_name: String + tweetCount: Int +} + +type Query { + queryTweetsSortedByAuthorFollowers(search: String!): [Tweets] @custom(dql: """ + query q($search: string) { + var(func: type(Tweets)) @filter(anyoftext(Tweets.text, $search)) { + Tweets.author { + followers as User.followers + } + authorFollowerCount as sum(val(followers)) + } + queryTweetsSortedByAuthorFollowers(func: uid(authorFollowerCount), orderdesc: val(authorFollowerCount)) { + id: uid + text: Tweets.text + author: Tweets.author { + screen_name: User.screen_name + followers: User.followers + } + timestamp: Tweets.timestamp + } + } + """) + + queryUserTweetCounts: [UserTweetCount] @custom(dql: """ + query { + queryUserTweetCounts(func: type(User)) { + screen_name: User.screen_name + tweetCount: count(User.tweets) + } + } + """) +} + +``` + +Now, if you run following query, it would fetch you the tweets containing "GraphQL" in their text, sorted by the number +of followers their author has: +```graphql +query { + queryTweetsSortedByAuthorFollowers(search: "GraphQL") { + text + } +} +``` + +There are following points to note while specifying the DQL query for such custom resolvers: +* The name of the DQL query that you want to map to the GraphQL response, should be same as the name of the GraphQL query. +* You must use proper aliases inside DQL queries to map them to the GraphQL response. +* If you are using variables in DQL queries, their names should be same as the name of the arguments for the GrapqhQL query. +* For variables, only scalar GraphQL arguments like Boolean, Int, Float etc are allowed. Lists and Object types are not allowed to be used as variables with DQL queries. +* You would be able to query only those many levels with GraphQL which you have mapped with the DQL query. For instance, in the first custom query above, we haven't mapped an author's tweets to GraphQL alias, so, we won't be able to fetch author's tweets using that query. + +--- \ No newline at end of file diff --git a/wiki/content/graphql/custom/mutation.md b/wiki/content/graphql/custom/mutation.md new file mode 100644 index 00000000000..413fcf7d755 --- /dev/null +++ b/wiki/content/graphql/custom/mutation.md @@ -0,0 +1,47 @@ ++++ +title = "Custom Mutations" +[menu.main] + parent = "custom" + weight = 4 ++++ + +Let's say we have an application about authors and posts. Logged in authors can add posts, but we want to do some input validation and add extra value when a post is added. The key types might be as follows. + +```graphql +type Author { ... } + +type Post { + id: ID: + title: String + text: String + datePublished: DateTime + author: Author + ... +} +``` + +Dgraph generates an `addPost` mutation from those types, but we want to do something extra. We don't want the `author` to come in with the mutation, that should get filled in from the JWT of the logged in user. Also, the `datePublished` shouldn't be in the input; it should be set as the current time at point of mutation. Maybe we also have some community guidelines about what might constitute an offensive `title` or `text` in a post. Maybe users can only post if they have enough community credit. + +We'll need custom code to do all that, so we can write a custom function that takes in only the title and text of the new post. Internally, it can check that the title and text satisfy the guidelines and that this user has enough credit to make a post. If those checks pass, it then builds a full post object by adding the current time as the `datePublished` and adding the `author` from the JWT information it gets from the forward header. It can then call the `addPost` mutation constructed by Dgraph to add the post into Dgraph and returns the resulting post as its GraphQL output. + +So as well as the types above, we need a custom mutation: + +```graphql +type Mutation { + newPost(title: String!, text: String): Post @custom(http:{ + url: "https://my.api.com/addPost" + method: "POST", + body: "{ postText: $text, postTitle: $title }" + forwardHeaders: ["AuthHdr"] + }) +} +``` + +## Learn more + +Find out more about how to turn off generated mutations and protecting mutations with authorization rules at: + +* [Remote Types - Turning off Generated Mutations with `@remote` Directive](../directive) +* [Securing Mutations with the `@auth` Directive](/graphql/authorization/mutations) + +--- diff --git a/wiki/content/graphql/custom/query.md b/wiki/content/graphql/custom/query.md new file mode 100644 index 00000000000..8cb012bbbe0 --- /dev/null +++ b/wiki/content/graphql/custom/query.md @@ -0,0 +1,69 @@ ++++ +title = "Custom Queries" +[menu.main] + parent = "custom" + weight = 3 ++++ + +Let's say we want to integrate our app with an existing external REST API. There's a few things we need to know: + +* the URL of the API, the path and any parameters required +* the shape of the resulting JSON data +* the method (GET, POST, etc.), and +* what authorization we need to pass to the external endpoint + +The custom query can take any number of scalar arguments and use those to construct the path, parameters and body (we'll see an example of that in the custom mutation section) of the request that gets sent to the remote endpoint. + +In an app, you'd deploy an endpoint that does some custom work and returns data that's used in your UI, or you'd wrap some logic or call around an existing endpoint. So that we can walk through a whole example, let's use the Twitter API. + +To integrate a call that returns the data of Twitter user with our app, all we need to do is add the expected result type `TwitterUser` and set up a custom query: + +```graphql +type TwitterUser @remote { + id: ID! + name: String + screen_name: String + location: String + description: String + followers_count: Int + ... +} + +type Query{ + getCustomTwitterUser(name: String!): TwitterUser @custom(http:{ + url: "https://api.twitter.com/1.1/users/show.json?screen_name=$name" + method: "GET", + forwardHeaders: ["Authorization"] + }) +} +``` + +Dgraph will then be able to accept a GraphQL query like + +```graphql +query { + getCustomTwitterUser(name: "dgraphlabs") { + location + description + followers_count + } +} +``` + +construct a HTTP GET request to `https://api.twitter.com/1.1/users/show.json?screen_name=dgraphlabs`, attach header `Authorization` from the incoming GraphQL request to the outgoing HTTP, and make the call and return a GraphQL result. + +The result JSON of the actual HTTP call will contain the whole object from the REST endpoint (you can see how much is in the Twitter user object [here](https://developer.twitter.com/en/docs/tweets/data-dictionary/overview/user-object)). But, the GraphQL query only asked for some of that, so Dgraph filters out any returned values that weren't asked for in the GraphQL query and builds a valid GraphQL response to the query and returns GraphQL. + +```json +{ + "data": { + "getCustomTwitterUser": { "location": ..., "description": ..., "followers_count": ... } + } +} +``` + +Your version of the remote type doesn't have to be equal to the remote type. For example, if you don't want to allow users to query the full Twitter user, you include in the type definition only the fields that can be queried. + +All the usual options for custom queries are allowed; for example, you can have multiple queries in a single GraphQL request and a mix of custom and Dgraph generated queries, you can get the result compressed by setting `Accept-Encoding` to `gzip`, etc. + +--- diff --git a/wiki/content/graphql/dgraph/index.md b/wiki/content/graphql/dgraph/index.md new file mode 100644 index 00000000000..69c373b8883 --- /dev/null +++ b/wiki/content/graphql/dgraph/index.md @@ -0,0 +1,111 @@ ++++ +title = "GraphQL on Existing Dgraph" +[menu.main] + url = "/graphql/dgraph/" + identifier = "dgraph" + parent = "graphql" + weight = 13 ++++ + + + +How to use GraphQL on an existing Dgraph instance. + +If you have an existing Dgraph instance and want to also expose GraphQL, you need to add a GraphQL schema that maps to your Dgraph schema. You don't need to expose your entire Dgraph schema as GraphQL, but do note that adding a GraphQL schema can alter the Dgraph schema. + +Dgraph also allows type and edge names that aren't valid in GraphQL, so, often, you'll need to expose valid GraphQL names. Dgraph admits special characters and even different languages (see [here](https://docs.dgraph.io/query-language/#predicate-name-rules)), while the GraphQL Spec requires that type and field (predicate) names are generated from `/[_A-Za-z][_0-9A-Za-z]*/`. + +# Mapping GraphQL to a Dgraph schema + +By default, Dgraph generates a new predicate for each field in a GraphQL type. The name of the generated predicate is composed of the type name followed by a dot `.` and ending with the field name. Therefore, two different types with fields of the same name will turn out to be different Dgraph predicates and can have different indexes. For example, the types: + +```graphql +type Person { + name: String @search(by: [hash]) + age: Int +} + +type Movie { + name: String @search(by: [term]) +} +``` + +generate a Dgraph schema like: + +```graphql +type Person { + Person.name + Person.age +} + +type Movie { + Movie.name +} + +Person.name: string @index(hash) . +Person.age: int . +Movie.name: string @index(term) . +``` + +This behavior can be customized with the `@dgraph` directive. + +* `type T @dgraph(type: "DgraphType")` controls what Dgraph type is used for a GraphQL type. +* `field: SomeType @dgraph(pred: "DgraphPredicate")` controls what Dgraph predicate is mapped to a GraphQL field. + +For example, if you have existing types that don't match GraphQL requirements, you can create a schema like the following. + +```graphql +type Person @dgraph(type: "Human-Person") { + name: String @search(by: [hash]) @dgraph(pred: "name") + age: Int +} + +type Movie @dgraph(type: "film") { + name: String @search(by: [term]) @dgraph(pred: "film.name") +} +``` + +Which maps to the Dgraph schema: + +```graphql +type Human-Person { + name + Person.age +} + +type film { + film.name +} + +name string @index(hash) . +Person.age: int . +film.name string @index(term) . +``` + +You might also have the situation where you have used `name` for both movie names and people's names. In this case you can map fields in two different GraphQL types to the one Dgraph predicate. + +```graphql +type Person { + name: String @dgraph(pred: "name") + ... +} + +type Movie { + name: String @dgraph(pred: "name") + ... +} +``` + +*Note: the current behavior requires that when two fields are mapped to the same Dgraph predicate both should have the same `@search` directive. This is likely to change in a future release where the underlying Dgraph indexes will be the union of the `@search` directives, while the generated GraphQL API will expose only the search given for the particular field. Allowing, for example, dgraph predicate name to have `term` and `hash` indexes, but exposing only term search for GraphQL movies and hash search for GraphQL people.* + +# Roadmap + +Be careful with mapping to an existing Dgraph instance. Updating the GraphQL schema updates the underlying Dgraph schema. We understand that exposing a GraphQL API on an existing Dgraph instance is a delicate process and we plan on adding multiple checks to ensure the validity of schema changes to avoid issues caused by detectable mistakes. + +Future features are likely to include: + +* Generating a first pass GraphQL schema from an existing dgraph schema. +* A way to show what schema diff will happen when you apply a new GraphQL schema. +* Better handling of `@dgraph` with `@search` + +We look forward to you letting us know what features you'd like, so please join us on [discuss](https://discuss.dgraph.io/) or [GitHub](https://github.com/dgraph-io/dgraph). diff --git a/wiki/content/graphql/directives/index.md b/wiki/content/graphql/directives/index.md new file mode 100644 index 00000000000..618f18d9d72 --- /dev/null +++ b/wiki/content/graphql/directives/index.md @@ -0,0 +1,73 @@ ++++ +title = "Index of Directives" +[menu.main] + url = "/graphql/directives/" + name = "Directives" + identifier = "directives" + parent = "graphql" + weight = 11 ++++ + +The list of all directives supported by Dgraph. + +### @hasInverse + +`@hasInverse` is used to setup up two way edges such that adding a edge in +one direction automically adds the one in the inverse direction. + +Reference: [Linking nodes in the graph](/graphql/schema/graph-links) + +### @search + +`@search` allows you to perform filtering on a field while querying for nodes. + +Reference: [Search](/graphql/schema/search) + +### @dgraph + +`@dgraph` directive tells us how to map fields within a type to existing predicates inside Dgraph. + +Reference: [GraphQL on Existing Dgraph](/graphql/dgraph/) + + +### @id + +`@id` directive is used to annotate a field which represents a unique identifier coming from outside + of Dgraph. + +Reference: [Identity](/graphql/schema/ids) + +### @withSubscription + +`@withSubscription` directive when applied on a type, generates subsciption queries for it. + +Reference: [Subscriptions](/graphql/subscriptions) + +### @secret + +TODO - After adding docs for password type. + +### @auth + +`@auth` allows you to define how to apply authorization rules on the queries/mutation for a type. + +Reference: [Auth directive](/graphql/authorization/directive) + +### @custom + +`@custom` directive is used to define custom queries, mutations and fields. + +Reference: [Custom directive](/graphql/custom/directive) + +### @remote + +`@remote` directive is used to annotate types for which data is not stored in Dgraph. These types +are typically used with custom queries and mutations. + +Reference: [Remote directive](/graphql/custom/directive) + +### @cascade + +`@cascade` allows you to filter out certain nodes within a query. + +Reference: [Cascade](/graphql/queries/cascade) \ No newline at end of file diff --git a/wiki/content/graphql/how-dgraph-graphql-works/index.md b/wiki/content/graphql/how-dgraph-graphql-works/index.md new file mode 100644 index 00000000000..9987587e18a --- /dev/null +++ b/wiki/content/graphql/how-dgraph-graphql-works/index.md @@ -0,0 +1,79 @@ ++++ +title = "How GraphQL works within Dgraph" +[menu.main] + url = "/graphql/how-dgraph-graphql-works/" + name = "How GraphQL works within Dgraph" + identifier = "how-dgraph-graphql-works" + parent = "graphql" + weight = 2 ++++ + +Dgraph is a GraphQL database. That means, with Dgraph, you design your application in GraphQL, you iterate on your app in GraphQL and, when you need it, you scale with GraphQL. + +You design a set of GraphQL types that describes your requirements. Dgraph takes those types, prepares graph storage for them and generates a GraphQL API with queries and mutations. + +You design a graph, store a graph and query a graph. You think and design in terms of the graph that your app is based around. + +Let's look at how that might work a simple Twitter clone. + +## The app building process + +You'll have an idea for your app, maybe you've sketched out the basic UI, or maybe you've worked out the basic things in your app and their relationships. From that, you can derive a first version of your schema. + +```graphql +type User { + username: String! @id + tweets: [Tweet] +} + +type Tweet { + text: String! +} +``` + +Load that into Dgraph, and you'll have a working GraphQL API. You can start doing example queries and mutations with a tool like GraphQL Playground or Insomnia, you can even jump straight in and start building a UI with, say, Apollo Client. That's how quickly you can get started. + +Soon, you'll need to iterate while you are developing, or need to produce the next version of your idea. Either way, Dgraph makes it easy to iterate on your app. Add extra fields, add search, and Dgraph adjusts. + +```graphql +type User { + username: String! @id + tweets: [Tweet] +} + +type Tweet { + text: String! @search(by: [fulltext]) + datePosted: DateTime +} +``` + +You can even do data migrations in GraphQL, so you never have to think about anything other than GraphQL. + +Eventually, you'll need custom business logic and bespoke code to enhance your GraphQL server. You can write that code however works best for your app and then integrate it directly into your GraphQL schema. + +```graphql +type User { + ... +} + +type Tweet { + ... + myCustomField @custom(...) +} + +type Query { + MyCustomQuery @custom(...) +} +``` + +Again, Dgraph adjusts, and you keep working on your app, not on translating another data format into a graph. + +## GraphQL, Dgraph and Graphs + +You might be familiar with GraphQL types, fields and resolvers. Perhaps you've written an app that adds GraphQL over a REST endpoint or maybe over a relational database. If so, you know how GraphQL sits over those sources and issues many queries to translate the REST/relational data into something that looks like a graph. + +There's a cognitive jump in that process because your app is about a graph, but you've got to design a relational schema and work out how that translates as a graph. You'll be thinking about the app in terms of the graph, but have to mentally translate back and forth between the relational and graph models. There are engineering challenges around the translation as well as the efficiency of the queries. + +There's none of that with Dgraph. + +Dgraph GraphQL is part of Dgraph, which stores a graph - it's a database of nodes and edges. So it's efficient to store, query and traverse as a graph. Your data will get stored just like you design it in the schema, and the queries are a single graph query that does just what the GraphQL query says. diff --git a/wiki/content/graphql/mutations/_index.md b/wiki/content/graphql/mutations/_index.md new file mode 100644 index 00000000000..64326a2e864 --- /dev/null +++ b/wiki/content/graphql/mutations/_index.md @@ -0,0 +1,8 @@ ++++ +title = "Mutations" +[menu.main] + url = "/graphql/mutations/" + identifier = "graphql-mutations" + parent = "graphql" + weight = 7 ++++ diff --git a/wiki/content/graphql/mutations/add.md b/wiki/content/graphql/mutations/add.md new file mode 100644 index 00000000000..c743bd6b432 --- /dev/null +++ b/wiki/content/graphql/mutations/add.md @@ -0,0 +1,81 @@ ++++ +title = "Add Mutations" +[menu.main] + parent = "graphql-mutations" + name = "Add" + weight = 2 ++++ + +Add Mutations allows you to add new objects of a particular type. + +We use the following schema to demonstrate some examples. + +**Schema**: +```graphql +type Author { + id: ID! + name: String! @search(by: [hash]) + dob: DateTime + posts: [Post] +} + +type Post { + postID: ID! + title: String! @search(by: [term, fulltext]) + text: String @search(by: [fulltext, term]) + datePublished: DateTime +} +``` + +Dgraph automatically generates input and return type in the schema for the add mutation. +```graphql +addPost(input: [AddPostInput!]!): AddPostPayload + +input AddPostInput { + title: String! + text: String + datePublished: DateTime +} + +type AddPostPayload { + post(filter: PostFilter, order: PostOrder, first: Int, offset: Int): [Post] + numUids: Int +} +``` + +**Example**: Add mutation on single type with embedded value +```graphql +mutation { + addAuthor(input: [{ name: "A.N. Author", posts: []}]) { + author { + id + name + } + } +} +``` + +**Example**: Add mutation on single type using variables +```graphql +mutation addAuthor($author: [AddAuthorInput!]!) { + addAuthor(input: $author) { + author { + id + name + } + } +} +``` +Variables: +```json +{ "auth": + { "name": "A.N. Author", + "dob": "2000-01-01", + "posts": [] + } +} +``` + +## Examples + +You can refer to the following [link](https://github.com/dgraph-io/dgraph/blob/master/graphql/resolve/add_mutation_test.yaml) for more examples. diff --git a/wiki/content/graphql/mutations/deep.md b/wiki/content/graphql/mutations/deep.md new file mode 100644 index 00000000000..b9414782e6d --- /dev/null +++ b/wiki/content/graphql/mutations/deep.md @@ -0,0 +1,89 @@ ++++ +title = "Deep Mutations" +[menu.main] + parent = "graphql-mutations" + name = "Deep" + weight = 5 ++++ + +Mutations also allows to perform deep mutation at multiple levels. + +We use the following schema to demonstrate some examples. + +## **Schema**: +```graphql +type Author { + id: ID! + name: String! @search(by: [hash]) + dob: DateTime + posts: [Post] +} + +type Post { + postID: ID! + title: String! @search(by: [term, fulltext]) + text: String @search(by: [fulltext, term]) + datePublished: DateTime +} +``` + +### **Example**: Deep Deep mutation using variables +```graphql +mutation DeepAuthor($author: DeepAuthorInput!) { + DeepAuthor(input: [$author]) { + author { + id + name + post { + title + text + } + } + } +} +``` +Variables: +```json +{ "author": + { "name": "A.N. Author", + "dob": "2000-01-01", + "posts": [ + { + "title": "New post", + "text": "A really new post" + } + ] + } +} +``` + +### **Example**: Deep update mutation using variables +```graphql +mutation updateAuthor($patch: UpdateAuthorInput!) { + updateAuthor(input: $patch) { + author { + id + post { + title + text + } + } + } +} +``` +Variables: +```json +{ "patch": + { "filter": { + "id": ["0x123"] + }, + "set": { + "posts": [ { + "postID": "0x456", + "title": "A new title", + "text": "Some edited text" + } ] + } + } +} +``` diff --git a/wiki/content/graphql/mutations/delete.md b/wiki/content/graphql/mutations/delete.md new file mode 100644 index 00000000000..3894215038a --- /dev/null +++ b/wiki/content/graphql/mutations/delete.md @@ -0,0 +1,64 @@ ++++ +title = "Delete Mutations" +[menu.main] + parent = "graphql-mutations" + name = "Delete" + identifier = "graphql-delete" + weight = 4 ++++ + +Delete Mutations allows you to delete objects of a particular type. + +We use the following schema to demonstrate some examples. + +**Schema**: +```graphql +type Author { + id: ID! + name: String! @search(by: [hash]) + dob: DateTime + posts: [Post] +} + +type Post { + postID: ID! + title: String! @search(by: [term, fulltext]) + text: String @search(by: [fulltext, term]) + datePublished: DateTime +} +``` + +Dgraph automatically generates input and return type in the schema for the delete mutation. +Delete Mutations takes filter as an input to select specific objects and returns the state of the objects before deletion. +```graphql +deleteAuthor(filter: AuthorFilter!): DeleteAuthorPayload + +type DeleteAuthorPayload { + author(filter: AuthorFilter, order: AuthorOrder, first: Int, offset: Int): [Author] + msg: String + numUids: Int +} +``` + +**Example**: Delete mutation using variables +```graphql +mutation deleteAuthor($filter: AuthorFilter!) { + deleteAuthor(filter: $filter) { + msg + author { + name + dob + } + } +} +``` +Variables: +```json +{ "filter": + { "name": { "eq": "A.N. Author" } } +} +``` + +## Examples + +You can refer to the following [link](https://github.com/dgraph-io/dgraph/blob/master/graphql/resolve/delete_mutation_test.yaml) for more examples. diff --git a/wiki/content/graphql/mutations/mutations-overview.md b/wiki/content/graphql/mutations/mutations-overview.md new file mode 100644 index 00000000000..29c0fdde114 --- /dev/null +++ b/wiki/content/graphql/mutations/mutations-overview.md @@ -0,0 +1,147 @@ ++++ +title = "Overview" +[menu.main] + parent = "graphql-mutations" + identifier = "mutations-overview" + weight = 1 ++++ + +Mutation allows us to modify server-side data, and it also returns an object based on the operation performed. It can be used to insert, update, or delete data. Dgraph automatically generates GraphQL mutation for each type that you define in your schema. The mutation field returns an object type that allows you to query for nested fields. This can be useful for fetching an object's new state after an add/update or get the old state of an object before a delete. + +**Example** + +```graphql +type Author { + id: ID! + name: String! @search(by: [hash]) + dob: DateTime + posts: [Post] +} + +type Post { + postID: ID! + title: String! @search(by: [term, fulltext]) + text: String @search(by: [fulltext, term]) + datePublished: DateTime +} +``` + +The following mutations would be generated from the above schema. + +```graphql +type Mutation { + addAuthor(input: [AddAuthorInput!]!): AddAuthorPayload + updateAuthor(input: UpdateAuthorInput!): UpdateAuthorPayload + deleteAuthor(filter: AuthorFilter!): DeleteAuthorPayload + addPost(input: [AddPostInput!]!): AddPostPayload + updatePost(input: UpdatePostInput!): UpdatePostPayload + deletePost(filter: PostFilter!): DeletePostPayload +} + +type AddAuthorPayload { + author(filter: AuthorFilter, order: AuthorOrder, first: Int, offset: Int): [Author] + numUids: Int +} + +type AddPostPayload { + post(filter: PostFilter, order: PostOrder, first: Int, offset: Int): [Post] + numUids: Int +} + +type DeleteAuthorPayload { + author(filter: AuthorFilter, order: AuthorOrder, first: Int, offset: Int): [Author] + msg: String + numUids: Int +} + +type DeletePostPayload { + post(filter: PostFilter, order: PostOrder, first: Int, offset: Int): [Post] + msg: String + numUids: Int +} + +type UpdateAuthorPayload { + author(filter: AuthorFilter, order: AuthorOrder, first: Int, offset: Int): [Author] + numUids: Int +} + +type UpdatePostPayload { + post(filter: PostFilter, order: PostOrder, first: Int, offset: Int): [Post] + numUids: Int +} +``` + +## Input objects +Mutations require input data, such as the data, to create a new object or an object's ID to delete. Dgraph auto-generates the input object type for every type in the schema. + +```graphql +input AddAuthorInput { + name: String! + dob: DateTime + posts: [PostRef] +} + +mutation { + addAuthor( + input: { + name: "A.N. Author", + lastName: "2000-01-01", + } + ) + { + ... + } +} +``` + +## Return fields +Each mutation provides a set of fields that can be returned in the response. Dgraph auto-generates the return payload object type for every type in the schema. + +```graphql +type AddAuthorPayload { + author(filter: AuthorFilter, order: AuthorOrder, first: Int, offset: Int): [Author] + numUids: Int +} +``` + +## Multiple fields in mutations +A mutation can contain multiple fields, just like a query. While query fields are executed in parallel, mutation fields run in series, one after the other. This means that if we send two `updateAuthor` mutations in one request, the first is guaranteed to finish before the second begins. This ensures that we don't end up with a race condition with ourselves. If one of the mutations is aborted due error like transaction conflict, we continue performing the next mutations. + +**Example**: Mutation on multiple types +```graphql +mutation ($post: AddPostInput!, $author: AddAuthorInput!) { + addAuthor(input: [$author]) { + author { + name + } + } + addPost(input: [$post]) { + post { + postID + title + text + } + } +} +``` +Variables: +```json +{ + "author": { + "name": "A.N. Author", + "dob": "2000-01-01", + "posts": [] + }, + "post": { + "title": "Exciting post", + "text": "A really good post", + "author": { + "name": "A.N. Author" + } + } +} +``` + +## Examples + +You can refer to the following [link](https://github.com/dgraph-io/dgraph/tree/master/graphql/schema/testdata/schemagen) for more examples. diff --git a/wiki/content/graphql/mutations/update.md b/wiki/content/graphql/mutations/update.md new file mode 100644 index 00000000000..bae512f5048 --- /dev/null +++ b/wiki/content/graphql/mutations/update.md @@ -0,0 +1,98 @@ ++++ +title = "Update Mutations" +[menu.main] + parent = "graphql-mutations" + name = "Update" + weight = 3 ++++ + +Update Mutations allows you to update existing objects of a particular type. It allows to filter nodes and, set and remove any field belonging to a type. + +We use the following schema to demonstrate some examples. + +**Schema**: +```graphql +type Author { + id: ID! + name: String! @search(by: [hash]) + dob: DateTime + posts: [Post] +} + +type Post { + postID: ID! + title: String! @search(by: [term, fulltext]) + text: String @search(by: [fulltext, term]) + datePublished: DateTime +} +``` + +Dgraph automatically generates input and return type in the schema for the update mutation. Update mutation takes filter as an input to select specific objects. You can specify set and remove operation on fields belonging to the filtered objects. It returns the state of the objects after updation. +```graphql +updatePost(input: UpdatePostInput!): UpdatePostPayload + +input UpdatePostInput { + filter: PostFilter! + set: PostPatch + remove: PostPatch +} + +type UpdatePostPayload { + post(filter: PostFilter, order: PostOrder, first: Int, offset: Int): [Post] + numUids: Int +} +``` + +**Example**: Update set mutation using variables +```graphql +mutation updatePost($patch: UpdatePostInput!) { + updatePost(input: $patch) { + post { + postID + title + text + } + } +} +``` +Variables: +```json +{ "patch": + { "filter": { + "postID": ["0x123", "0x124"] + }, + "set": { + "text": "updated text" + } + } +} +``` + +**Example**: Update remove mutation using variables +```graphql +mutation updatePost($patch: UpdatePostInput!) { + updatePost(input: $patch) { + post { + postID + title + text + } + } +} +``` +Variables: +```json +{ "patch": + { "filter": { + "postID": ["0x123", "0x124"] + }, + "remove": { + "text": "delete this text" + } + } +} +``` + +## Examples + +You can refer to the following [link](https://github.com/dgraph-io/dgraph/blob/master/graphql/resolve/update_mutation_test.yaml) for more examples. diff --git a/wiki/content/graphql/overview/index.md b/wiki/content/graphql/overview/index.md new file mode 100644 index 00000000000..403a176136d --- /dev/null +++ b/wiki/content/graphql/overview/index.md @@ -0,0 +1,74 @@ ++++ +title = "Overview" +[menu.main] + url = "/graphql/overview/" + name = "Overview" + identifier = "graphql-overview" + parent = "graphql" + weight = 1 ++++ + +**Welcome to the official GraphQL documentation for Dgraph.** + +Designed from the ground up to be run in production, Dgraph is the native GraphQL database with a graph backend. It is open-source, scalable, distributed, highly available and lightning fast. + +* These docs tell you all the details. If you are looking for a walk through tutorial, then head over to our [tutorials section](/graphql/todo-app-tutorial/todo-overview). + +Dgraph gives you GraphQL. You're always working with GraphQL, not a translation layer. When you build an app with Dgraph, Dgraph is your GraphQL database. + +## Exploring the docs + +* How it Works - Once you've got yourself started with [tutorials](/graphql/todo-app-tutorial/todo-overview), you might need to review [how it works](/graphql/how-dgraph-graphql-works). +* [Schema](/graphql/schema/schema-overview) - You'll need the schema reference to find out about all the options of what can be in your schema. +* [The API](/graphql/api/api-overview) - The API section tells you about how the GraphQL API is served and how you can access it. +* [Queries](/graphql/queries/queries-overview) - Everything you need to know about writing GraphQL queries. +* [Mutations](/graphql/mutations/mutations-overview) - Everything you need to know about writing GraphQL mutations with Dgraph. +* [Subscriptions](/graphql/subscriptions) - GraphQL subscriptions help you make your APP more responsive or, for example, add live feeds. Dgraph can generate subscriptions for you. +* [Custom Logic](/graphql/custom/custom-overview) - Dgraph's auto generated GraphQL API is fantastic, but as your app gets more complicated, you'll need to add custom business logic to your API. +* [Authorization](/graphql/authorization/authorization-overview) - Find out how Dgraph can add automated authorization to your GraphQL API. +* [Local Administration](/graphql/admin) - Once you're up and running you might also need to know a few details about administering your Dgraph instance if you are running locally. +* [Slash GraphQL](/slash-graphql/admin/overview) - If you are using hosted Dgraph on Slash GraphQL, then head over here to learn about administering your backend. + +## Contribute + +
+
+
+
+
+
+ + Contribute to Dgraph + +
+

+ Get started with contributing fixes and enhancements to Dgraph and related software. +

+
+
+
+
+
+ +## Our Community + +**Dgraph is made better every day by the growing community and the contributors all over the world.** + +
+
+
+
+
+
+ + Community + +
+

+ Discuss Dgraph on the official community. +

+
+
+
+
+
\ No newline at end of file diff --git a/wiki/content/graphql/queries/_index.md b/wiki/content/graphql/queries/_index.md new file mode 100644 index 00000000000..c19923f4019 --- /dev/null +++ b/wiki/content/graphql/queries/_index.md @@ -0,0 +1,8 @@ ++++ +title = "Queries" +[menu.main] + url = "/graphql/queries/" + identifier = "graphql-queries" + parent = "graphql" + weight = 6 ++++ \ No newline at end of file diff --git a/wiki/content/graphql/queries/and-or-not.md b/wiki/content/graphql/queries/and-or-not.md new file mode 100644 index 00000000000..83abe4f7a13 --- /dev/null +++ b/wiki/content/graphql/queries/and-or-not.md @@ -0,0 +1,53 @@ ++++ +title = "And, Or and Not" +[menu.main] + parent = "graphql-queries" + name = "And, Or and Not" + weight = 3 ++++ + +Every search filter contains `and`, `or` and `not`. + +GraphQL's syntax is used to write these infix style, so "a and b" is written `a, and: { b }`, and "a or b or c" is written `a, or: { b, or: c }`. Not is written prefix. + +The posts that do not have "GraphQL" in the title. + +```graphql +queryPost(filter: { not: { title: { allofterms: "GraphQL"} } } ) { ... } +``` + +The posts that have "GraphQL" or "Dgraph" in the title. + +```graphql +queryPost(filter: { + title: { allofterms: "GraphQL"}, + or: { title: { allofterms: "Dgraph" } } + } ) { ... } +``` + +The posts that have "GraphQL" and "Dgraph" in the title. + +```graphql +queryPost(filter: { + title: { allofterms: "GraphQL"}, + and: { title: { allofterms: "Dgraph" } } + } ) { ... } +``` + +The and is implicit for a single filter object, if the fields don't overlap. For example, above the `and` is required because `title` is in both filters, where as below, `and` is not required. + +```graphql +queryPost(filter: { + title: { allofterms: "GraphQL" }, + datePublished: { ge: "2020-06-15" } + } ) { ... } +``` + +The posts that have "GraphQL" in the title, or have the tag "GraphQL" and mention "Dgraph" in the title + +```graphql +queryPost(filter: { + title: { allofterms: "GraphQL"}, + or: { title: { allofterms: "Dgraph" }, tags: { eg: "GraphQL" } } + } ) { ... } +``` \ No newline at end of file diff --git a/wiki/content/graphql/queries/cascade.md b/wiki/content/graphql/queries/cascade.md new file mode 100644 index 00000000000..49b2c0e0990 --- /dev/null +++ b/wiki/content/graphql/queries/cascade.md @@ -0,0 +1,43 @@ ++++ +title = "Cascade" +[menu.main] + parent = "graphql-queries" + name = "Cascade" + weight = 5 ++++ + +`@cascade` is available as a directive which can be applied on fields. With the @cascade +directive, nodes that don’t have all fields specified in the query are removed. +This can be useful in cases where some filter was applied and some nodes might not +have all listed fields. + +For example, the query below would only return the authors which have both reputation +and posts and where posts have text. Note that `@cascade` trickles down so it would +automatically be applied at the `posts` level as well if its applied at the `queryAuthor` +level. + +```graphql +{ + queryAuthor @cascade { + reputation + posts { + text + } + } +} +``` + +`@cascade` can also be used at nested levels, so the query below would return all authors +but only those posts which have both `text` and `id`. + +```graphql +{ + queryAuthor { + reputation + posts @cascade { + id + text + } + } +} +``` \ No newline at end of file diff --git a/wiki/content/graphql/queries/order-page.md b/wiki/content/graphql/queries/order-page.md new file mode 100644 index 00000000000..075cdf4d1c8 --- /dev/null +++ b/wiki/content/graphql/queries/order-page.md @@ -0,0 +1,30 @@ ++++ +title = "Order and Pagination" +[menu.main] + parent = "graphql-queries" + name = "Order and Pagination" + weight = 4 ++++ + +Every type with fields whose types can be ordered (`Int`, `Float`, `String`, `DateTime`) gets +ordering built into the query and any list fields of that type. Every query and list field +gets pagination with `first` and `offset` and ordering with `order` parameter. + +For example, find the most recent 5 posts. + +```graphql +queryPost(order: { desc: datePublished }, first: 5) { ... } +``` + +Skip the first five recent posts and then get the next 10. + +```graphql +queryPost(order: { desc: datePublished }, offset: 5, first: 10) { ... } +``` + +It's also possible to give multiple orders. For example, sort by date and within each +date order the posts by number of likes. + +```graphql +queryPost(order: { desc: datePublished, then: { desc: numLikes } }, first: 5) { ... } +``` \ No newline at end of file diff --git a/wiki/content/graphql/queries/queries-overview.md b/wiki/content/graphql/queries/queries-overview.md new file mode 100644 index 00000000000..9efc382c1e3 --- /dev/null +++ b/wiki/content/graphql/queries/queries-overview.md @@ -0,0 +1,46 @@ ++++ +title = "Overview" +[menu.main] + parent = "graphql-queries" + identifier = "queries-overview" + weight = 1 ++++ + +How to use queries to fetch data from Dgraph. + +Dgraph automatically generates GraphQL queries for each type that you define in +your schema. There are two types of of queries generated for each type. + +Example + +```graphql +type Post { + id: ID! + title: String! @search + text: String + score: Float @search + completed: Boolean @search + datePublished: DateTime @search(by: [year]) + author: Author! +} + +type Author { + id: ID! + name: String! @search + posts: [Post!] + friends: [Author] +} +``` + +With the above schema, there would be two queries generated for Post and two +for Author. Here are the queries that are generated for the Post type: + +```graphql +getPost(postID: ID!): Post +queryPost(filter: PostFilter, order: PostOrder, first: Int, offset: Int): [Post] +``` + +The first query allows you to fetch a post and its related fields given an ID. +The second query allows you to fetch a list of posts based on some filters, sorting and +pagination parameters. You can look at all the queries that are generated by using any +GraphQL client such as Insomnia or GraphQL playground. \ No newline at end of file diff --git a/wiki/content/graphql/queries/search-filtering.md b/wiki/content/graphql/queries/search-filtering.md new file mode 100644 index 00000000000..5b6b8e8f517 --- /dev/null +++ b/wiki/content/graphql/queries/search-filtering.md @@ -0,0 +1,173 @@ ++++ +title = "Search and Filtering" +[menu.main] + parent = "graphql-queries" + name = "Search and Filtering" + weight = 2 ++++ + +Queries generated for a GraphQL type allow you to generate a single of list of +objects for a type. + +### Get a single object + +Fetch the title, text and datePublished for a post with id `0x1`. + +```graphql +query { + getPost(id: "0x1") { + title + text + datePublished + } +} +``` + +Fetching nested linked objects, while using get queries is also easy. This is how +you would fetch the authors for a post and their friends. + +```graphql +query { + getPost(id: "0x1") { + id + title + text + datePublished + author { + name + friends { + name + } + } + } +} +``` + +While fetching nested linked objects, you can also apply a filter on them. + +Example - Fetching author with id 0x1 and their posts about GraphQL. + +```graphql +query { + getAuthor(id: "0x1") { + name + posts(filter: { + title: { + allofterms: "GraphQL" + } + }) { + title + text + datePublished + } + } +} +``` + +If your type has a field with `@id` directive on it, you can also fetch objects using that. + +Example: To fetch a user's name and age by userID which has @id directive. + +Schema + +```graphql +type User { + userID: String! @id + name: String! + age: String +} +``` + +Query + +```graphql +query { + getUser(userID: "0x2") { + name + age + } +} +``` + +### Query list of objects + +Fetch the title, text and and datePublished for all the posts. + +```graphql +query { + queryPost { + id + title + text + datePublished + } +} +``` + +Fetching a list of posts by their ids. + +```graphql +query { + queryPost(filter: { + id: ["0x1", "0x2", "0x3", "0x4"], + }) { + id + title + text + datePublished + } +} +``` + +You also filter the posts by different fields in the Post type which have a +`@search` directive on them. To only fetch posts which `GraphQL` in their title +and have a `score > 100`, you can run the following query. + +```graphql +query { + queryPost(filter: { + title: { + anyofterms: "GraphQL" + }, + and: { + score: { + gt: 100 + } + } + }) { + id + title + text + datePublished + } +} +``` + +You can also filter nested objects while querying for a list of objects. + +Example - To fetch all the authors whose name have `Lee` in them and their`completed` posts +with score greater than 10. + +```graphql +query { + queryAuthor(filter: { + name: { + anyofterms: "Lee" + } + }) { + name + posts(filter: { + score: { + gt: 10 + }, + and: { + completed: true + } + }) { + title + text + datePublished + } + } +} +``` \ No newline at end of file diff --git a/wiki/content/graphql/queries/skip-include.md b/wiki/content/graphql/queries/skip-include.md new file mode 100644 index 00000000000..3d1609a075f --- /dev/null +++ b/wiki/content/graphql/queries/skip-include.md @@ -0,0 +1,63 @@ ++++ +title = "Skip and Include" +[menu.main] + parent = "graphql-queries" + name = "Skip and Include" + weight = 6 ++++ + +`@skip` and `@include` are directives which can be applied on a field while querying. +They allow you to skip or include a field based on the value of the `if` argument +that is passed to the directive. + +## @skip + +In the query below, we fetch posts and decide whether to fetch the title for them or not +based on the `skipTitle` GraphQL variable. + +GraphQL query + +```graphql +query ($skipTitle: Boolean!) { + queryPost { + id + title @skip(if: $skipTitle) + text + } +} +``` + +GraphQL variables +```json +{ + "skipTitle": true +} +``` + +## @include + +Similarly, the `@include` directive can be used to include a field based on the value of +the `if` argument. The query below would only include the authors for a post if `includeAuthor` +GraphQL variable has value true. + +GraphQL Query +```graphql +query ($includeAuthor: Boolean!) { + queryPost { + id + title + text + author @include(if: $includeAuthor) { + id + name + } + } +} +``` + +GraphQL variables +```json +{ + "includeAuthor": false +} +``` \ No newline at end of file diff --git a/wiki/content/graphql/quick-start/index.md b/wiki/content/graphql/quick-start/index.md new file mode 100644 index 00000000000..f473b98278b --- /dev/null +++ b/wiki/content/graphql/quick-start/index.md @@ -0,0 +1,259 @@ ++++ +title = "Quick Start" +[menu.main] + url = "/graphql/quick-start/" + name = "Quick Start" + identifier = "graphql-quick-start" + parent = "graphql" + weight = 1 ++++ + +Let's go from nothing to a running GraphQL API in just two steps. + +For GraphQL in Dgraph, you just concentrate on defining the schema of your graph and how you'd like to search that graph; Dgraph does the rest. You work only with GraphQL and, think in terms of the graph that matters for your app. + +This example is for an app about customers, products and reviews. That's a pretty simple graph, with just three types of objects, but it has some interesting connections for us to explore. + +Here's a schema of GraphQL types for that: + +```graphql +type Product { + productID: ID! + name: String @search(by: [term]) + reviews: [Review] @hasInverse(field: about) +} + +type Customer { + username: String! @id @search(by: [hash, regexp]) + reviews: [Review] @hasInverse(field: by) +} + +type Review { + id: ID! + about: Product! + by: Customer! + comment: String @search(by: [fulltext]) + rating: Int @search +} +``` + +With Dgraph you can turn that schema into a running GraphQL API in just two steps. + +## Step 1 - Start Dgraph GraphQL + +It's a one-liner to bring up Dgraph with GraphQL. *Note: The Dgraph standalone image is great for quick start and exploring, but it's not meant for production use. Once you want to build an App or persist your data for restarts, you'll need to review the [admin docs](../admin).* + +``` +docker run -it -p 8080:8080 dgraph/standalone:master +``` + +With that, GraphQL has started at localhost:8080/graphql, but it doesn't have a schema to serve yet. + +## Step 2 - Add a GraphQL Schema + +Dgraph will run your GraphQL API at `/graphql` and an admin interface at `/admin`. The `/admin` interface lets you add and update the GraphQL schema served at `/graphql`. The quickest way to reset the schema is just to post it to `/admin` with curl. + +Take the schema above, cut-and-paste it into a file called `schema.graphql` and run the following curl command. + +``` +curl -X POST localhost:8080/admin/schema --data-binary '@schema.graphql' +``` + +It'll post back the types it's currently serving a schema for, which should be the same as the input schema. + +That's it, now you've got a GraphQL API up and running. + +No, really, that's all; nothing else to do; it's there, serving GraphQL --- let's go use it. + +## GraphQL Mutations + +If you've followed the steps above, there's a GraphQL server up and running. You can access that GraphQL endpoint with any of the great GraphQL developer tools. Good choices include [GraphQL Playground](https://github.com/prisma-labs/graphql-playground), [Insomnia](https://insomnia.rest/), [GraphiQL](https://github.com/graphql/graphiql) and [Altair](https://github.com/imolorhe/altair). + +Fire one of those up and point it at `http://localhost:8080/graphql`. If you know lots about GraphQL, you might want to explore the schema, queries and mutations that were generated from the input. + +We'll begin by adding some products and an author. GraphQL can accept multiple mutations at a time, so it's one request. Neither the products nor the author will have any reviews yet, so all we need is the names. + +```graphql +mutation { + addProduct(input: [ + { name: "GraphQL on Dgraph"}, + { name: "Dgraph: The GraphQL Database"} + ]) { + product { + productID + name + } + } + addCustomer(input: [{ username: "Michael"}]) { + customer { + username + } + } +} +``` + +The GraphQL server will return a json response like: + +```json +{ + "data": { + "addProduct": { + "product": [ + { + "productID": "0x2", + "name": "GraphQL on Dgraph" + }, + { + "productID": "0x3", + "name": "Dgraph: The GraphQL Database" + } + ] + }, + "addCustomer": { + "customer": [ + { + "username": "Michael" + } + ] + } + }, + "extensions": { + "requestID": "b155867e-4241-4cfb-a564-802f2d3808a6" + } +} +``` + +And, of course, our author bought "GraphQL on Dgraph", loved it, and added a glowing review with the following mutation. + +Because the schema defined Customer with the field `username: String! @id`, the `username` field acts like an ID, so we can identify customers just with their names. Products, on the other hand, had `productID: ID!`, so they'll get an auto-generated ID. Your ID for the product might be different. Make sure you check the result of adding the products and use the right ID - it's no different to linking primary/foreign keys correctly in a relational DB. + +```graphql +mutation { + addReview(input: [{ + by: {username: "Michael"}, + about: { productID: "0x2"}, + comment: "Fantastic, easy to install, worked great. Best GraphQL server available", + rating: 10}]) + { + review { + comment + rating + by { username } + about { name } + } + } +} +``` + +This time, the mutation result queries for the author making the review and the product being reviewed, so it's gone deeper into the graph to get the result than just the mutation data. + +```json +{ + "data": { + "addReview": { + "review": [ + { + "comment": "Fantastic, easy to install, worked great. Best GraphQL server available", + "rating": 10, + "by": { + "username": "Michael" + }, + "about": { + "name": "GraphQL on Dgraph" + } + } + ] + } + }, + "extensions": { + "requestID": "11bc2841-8c19-45a6-bb31-7c37c9b027c9" + } +} +``` + +Already we have a running GraphQL API and can add data using any GraphQL tool. You could write a GraphQL/React app with a nice UI. It's GraphQL, so you can do anything GraphQL with your new server. + +Go ahead, add some more customers, products and reviews and then move on to querying data back out. + +## GraphQL Queries + +Mutations are one thing, but query is where GraphQL really shines. With GraphQL, you get just the data you want, in a format that's suitable for your app. + +With Dgraph, you get powerful graph search built into your GraphQL API. The schema for search is generated from the schema document that we started with and automatically added to the GraphQL API for you. + +Remember the definition of a review. + +```graphql +type Review { + ... + comment: String @search(by: [fulltext]) + ... +} +``` + +The directive `@search(by: [fulltext])` tells Dgraph we want to be able to search for comments with full-text search. That's Google-style search like 'best buy' and 'loved the color'. Dgraph took that, and the other information in the schema, and built queries and search into the API. + +Let's find all the products that were easy to install. + +```graphql +query { + queryReview(filter: { comment: {alloftext: "easy to install"}}) { + comment + by { + username + } + about { + name + } + } +} +``` + +What reviews did you get back? It'll depend on the data you added, but you'll at least get the initial review we added. + +Maybe you want to find reviews that describe best GraphQL products and give a high rating. + +```graphql +query { + queryReview(filter: { comment: {alloftext: "best GraphQL"}, rating: { ge: 10 }}) { + comment + by { + username + } + about { + name + } + } +} +``` + +How about we find the customers with names starting with "Mich" and the five products that each of those liked the most. + +```graphql +query { + queryCustomer(filter: { username: { regexp: "/Mich.*/" } }) { + username + reviews(order: { asc: rating }, first: 5) { + comment + rating + about { + name + } + } + } +} +``` + +We started with nothing more than the definition of three GraphQL types, yet already we have a running GraphQL API that keeps usernames unique, can run queries and mutations, and we are on our way for an e-commerce app. + +There's much more that could be done: we can build in more types, more powerful search, build in queries that work through the graph like a recommendation system, and more. Keep learning about GraphQL with Dgraph to find out about great things you can do. + +## Where Next + +Depending on if you need a bit more of a walkthrough or if you're off and running, you should checkout the worked example or the sample React app. + +The worked example builds through similar material to this quick start, but also works through what's allowed in your input schema and what happens to what you put in there. + +The React app is a UI for a simple social media example that's built on top of a Dgraph GraphQL instance. + +Later, as you're building your app, you'll need the reference materials on schema and server administration. \ No newline at end of file diff --git a/wiki/content/graphql/schema/_index.md b/wiki/content/graphql/schema/_index.md new file mode 100644 index 00000000000..bd8d1e29ca7 --- /dev/null +++ b/wiki/content/graphql/schema/_index.md @@ -0,0 +1,8 @@ ++++ +title = "Schema" +[menu.main] + url = "/graphql/schema/" + identifier = "schema" + parent = "graphql" + weight = 4 ++++ \ No newline at end of file diff --git a/wiki/content/graphql/schema/deprecated.md b/wiki/content/graphql/schema/deprecated.md new file mode 100644 index 00000000000..677f089e1e8 --- /dev/null +++ b/wiki/content/graphql/schema/deprecated.md @@ -0,0 +1,10 @@ ++++ +title = "Deprecation" +[menu.main] + parent = "schema" + weight = 7 ++++ + +Documentation about `@deprecated` directive coming soon. + + \ No newline at end of file diff --git a/wiki/content/graphql/schema/dgraph-schema.md b/wiki/content/graphql/schema/dgraph-schema.md new file mode 100644 index 00000000000..a20e5847ad0 --- /dev/null +++ b/wiki/content/graphql/schema/dgraph-schema.md @@ -0,0 +1,76 @@ ++++ +title = "Dgraph Schema Fragment" +[menu.main] + parent = "schema" + weight = 8 ++++ + +While editing your schema, you might find it useful to include this GraphQL schema fragment. It sets up the definitions of the directives, etc. (like `@search`) that you'll use in your schema. If your editor is GraphQL aware, it may give you errors if you don't have this available and context sensitive help if you do. + +Don't include it in your input schema to Dgraph - use your editing environment to set it up as an import. The details will depend on your setup. + +```graphql +scalar DateTime + +enum DgraphIndex { + int + float + bool + hash + exact + term + fulltext + trigram + regexp + year + month + day + hour +} + +input AuthRule { + and: [AuthRule] + or: [AuthRule] + not: AuthRule + rule: String +} + +enum HTTPMethod { + GET + POST + PUT + PATCH + DELETE +} + +enum Mode { + BATCH + SINGLE +} + +input CustomHTTP { + url: String! + method: HTTPMethod! + body: String + graphql: String + mode: Mode + forwardHeaders: [String!] + secretHeaders: [String!] + introspectionHeaders: [String!] + skipIntrospection: Boolean +} + +directive @hasInverse(field: String!) on FIELD_DEFINITION +directive @search(by: [DgraphIndex!]) on FIELD_DEFINITION +directive @dgraph(type: String, pred: String) on OBJECT | INTERFACE | FIELD_DEFINITION +directive @id on FIELD_DEFINITION +directive @withSubscription on OBJECT | INTERFACE +directive @secret(field: String!, pred: String) on OBJECT | INTERFACE +directive @auth( + query: AuthRule, + add: AuthRule, + update: AuthRule, + delete: AuthRule) on OBJECT +directive @custom(http: CustomHTTP) on FIELD_DEFINITION +directive @remote on OBJECT | INTERFACE +``` diff --git a/wiki/content/graphql/schema/documentation.md b/wiki/content/graphql/schema/documentation.md new file mode 100644 index 00000000000..837a47cbbde --- /dev/null +++ b/wiki/content/graphql/schema/documentation.md @@ -0,0 +1,14 @@ ++++ +title = "Documentation and Comments" +[menu.main] + parent = "schema" + weight = 6 ++++ + +More documentation about documentation comments coming soon :-) + +Dgraph accepts GraphQL documentation comments `"""..."""` that gets passed through to the generated API and thus shown as documentation in GraphQL tools like GraphiQL, GraphQL Playground, Insomnia etc. + +You can also add `# ...` comments where ever you like. Those are just like code comments in the input schema and get dropped. + +Any comment starting with `# Dgraph.` is reserved and shouldn't be used to document your input schema. diff --git a/wiki/content/graphql/schema/graph-links.md b/wiki/content/graphql/schema/graph-links.md new file mode 100644 index 00000000000..54cf5e96d0f --- /dev/null +++ b/wiki/content/graphql/schema/graph-links.md @@ -0,0 +1,126 @@ ++++ +title = "Links in the Graph" +[menu.main] + parent = "schema" + weight = 4 ++++ + +All the data in your app forms a GraphQL data graph. That graph has nodes of particular types (the types you define in your schema) and links between the nodes to form the data graph. + +Dgraph uses the types and fields in the schema to work out how to link that graph, what to accept for mutations and what shape responses should take. + +Edges in that graph are directed: either pointing in one direction or two. You use the `@hasInverse` directive to tell Dgraph how to handle two-way edges. + +### One-way Edges + +If you only ever need to traverse the graph between nodes in a particular direction, then your schema can simply contain the types and the link. + +In this schema, posts have an author - each post in the graph is linked to its author - but that edge is one-way. + +```graphql +type Author { + ... +} + +type Post { + ... + author: Author +} +``` + +You'll be able to traverse the graph from a Post to its author, but not able to traverse from an author to all their posts. Sometimes that's the right choice, but mostly, you'll want two way edges. + +Note: Dgraph won't store the reverse direction, so if you change your schema to include a `@hasInverse`, you'll need to migrate the data to add the reverse edges. + +### Two-way edges - edges with an inverse + +GraphQL schemas are always under-specified in that if we extended our schema to: + +```graphql +type Author { + ... + posts: [Post] +} + +type Post { + ... + author: Author +} +``` + +Then, the schema says that an author has a list of posts and a post has an author. But, that GraphQL schema doesn't doesn't say that every post in the list of posts for an author has the same author as their `author`. For example, it's perfectly valid for author `a1` to have a `posts` edge to post `p1`, that has an `author` edge to author `a2`. Here, we'd expect an author to be the author of all their posts, but that's not what GraphQL enforces. In GraphQL, it's left up to the implementation to make two-way connections in cases that make sense. That's just part of how GraphQL works. + +In Dgraph, the directive `@hasInverse` is used to create a two-way edge. + +```graphql +type Author { + ... + posts: [Post] @hasInverse(field: author) +} + +type Post { + ... + author: Author +} +``` + +With that, `posts` and `author` are just two directions of the same link in the graph. For example, adding a new post with + +```graphql +mutation { + addPost(input: [ + { ..., author: { username: "diggy" }} + ]) { + ... + } +} +``` + +will automatically add it to Diggy's list of `posts`. Deleting the post will remove it from Diggy's `posts`. Similarly, using an update mutation on an author to insert a new post will automatically add Diggy as the author the author + +```graphql +mutation { + updateAuthor(input: { + filter: { username: { eq: "diggy "}}, + set: { posts: [ {... new post ...}]} + }) { + ... + } +} +``` + +### Many edges + +It's not really possible to auto-detect what a schema designer meant for two-way edges. There's not even only one possible relationship between two types. Consider, for example, if an app recorded the posts an `Author` had recently liked (so it can suggest interesting material) and just a tally of all likes on a post. + +```graphql +type Author { + ... + posts: [Post] + recentlyLiked: [Post] +} + +type Post { + ... + author: Author + numLikes: Int +} +``` + +It's not possible to detect what is meant here as a one-way edge, or which edges are linked as a two-way connection. That's why `@hasInverse` is needed - so you can enforce the semantics your app needs. + +```graphql +type Author { + ... + posts: [Post] @hasInverse(field: author) + recentlyLiked: [Post] +} + +type Post { + ... + author: Author + numLikes: Int +} +``` + +Now, Dgraph will manage the connection between posts and authors and you can get on with concentrating on what your app needs to to - suggesting them interesting content. \ No newline at end of file diff --git a/wiki/content/graphql/schema/ids.md b/wiki/content/graphql/schema/ids.md new file mode 100644 index 00000000000..1f07c65b210 --- /dev/null +++ b/wiki/content/graphql/schema/ids.md @@ -0,0 +1,52 @@ ++++ +title = "IDs" +[menu.main] + parent = "schema" + weight = 3 ++++ + +There's two types of identity built into Dgraph. Those are accessed via the `ID` scalar type and the `@id` directive. + +### The ID type + +In Dgraph, every node has a unique 64 bit identifier. You can, but don't have to, expose that in GraphQL via the `ID` type. `ID`s are auto-generated, immutable and never reused. Each type can have at most one `ID` field. + +The `ID` type works great for things that you'll want to refer to via an id, but don't need to set the identifier externally. Examples are things like posts, comments, tweets, etc. + +For example, you might set the following type in a schema. + +```graphql +type Post { + id: ID! + ... +} +``` + +In a single page app, you'll want to render the page for `http://.../posts/0x123` when a user clicks to view the post with id `0x123`. You app can then use a `getPost(id: "0x123") { ... }` GraphQL query to fetch the data to generate the page. + +You'll also be able to update and delete posts by id. + +### The @id directive + +For some types, you'll need a unique identifier set from outside Dgraph. A common example is a username. + +The `@id` directive tells Dgraph to keep values of that field unique and to use them as identifiers. + +For example, you might set the following type in a schema. + +```graphql +type User { + username: String! @id + ... +} +``` + +Dgraph will then require a unique username when creating a new user --- it'll generate the input type for `addUser` with `username: String!` so you can't make an add mutation without setting a username, and when processing the mutation, Dgraph will ensure that the username isn't already set for another node of the `User` type. + +Identities created with `@id` are reusable - if you delete an existing user, you can reuse the username. + +As with `ID` types, Dgraph will generate queries and mutations so you'll also be able to query, update and delete by id. + +### More to come + +We are currently considering expanding uniqueness to include composite ids and multiple unique fields (e.g. [this](https://discuss.dgraph.io/t/support-multiple-unique-fields-in-dgraph-graphql/8512) issue). diff --git a/wiki/content/graphql/schema/reserved.md b/wiki/content/graphql/schema/reserved.md new file mode 100644 index 00000000000..84228f5819f --- /dev/null +++ b/wiki/content/graphql/schema/reserved.md @@ -0,0 +1,10 @@ ++++ +title = "Reserved Names" +[menu.main] + parent = "schema" + weight = 1 ++++ + +Names `Int`, `Float`, `Boolean`, `String`, `DateTime` and `ID` are reserved and cannot be used to define any other identifiers. + +For each type, Dgraph generates a number of GraphQL types needed to operate the GraphQL API, these generated type names also can't be present in the input schema. For example, for a type `Author`, Dgraph generates `AuthorFilter`, `AuthorOrderable`, `AuthorOrder`, `AuthorRef`, `AddAuthorInput`, `UpdateAuthorInput`, `AuthorPatch`, `AddAuthorPayload`, `DeleteAuthorPayload` and `UpdateAuthorPayload`. Thus if `Author` is present in the input schema, all of those become reserved type names. \ No newline at end of file diff --git a/wiki/content/graphql/schema/schema-overview.md b/wiki/content/graphql/schema/schema-overview.md new file mode 100644 index 00000000000..84d9ef406f5 --- /dev/null +++ b/wiki/content/graphql/schema/schema-overview.md @@ -0,0 +1,15 @@ ++++ +title = "Overview" +[menu.main] + parent = "schema" + identifier = "schema-overview" + weight = 1 ++++ + +This section describes all the things you can put in your input GraphQL schema, and what gets generated from that. + +The process for serving GraphQL with Dgraph is to add a set of GraphQL type definitions using the `/admin` endpoint. Dgraph takes those definitions, generates queries and mutations, and serves the generated GraphQL schema. + +The input schema may contain interfaces, types and enums that follow the usual GraphQL syntax and validation rules. + +If you want to make your schema editing experience nicer, you should use an editor that does syntax highlighting for GraphQL. With that, you may also want to include the definitions [here](../dgraph-schema) as an import. diff --git a/wiki/content/graphql/schema/search.md b/wiki/content/graphql/schema/search.md new file mode 100644 index 00000000000..c4a668f4bf3 --- /dev/null +++ b/wiki/content/graphql/schema/search.md @@ -0,0 +1,303 @@ ++++ +title = "Search and Filtering" +[menu.main] + parent = "schema" + identifier = "schema-search" + weight = 5 ++++ + +The `@search` directive tells Dgraph what search to build into your GraphQL API. + +When a type contains an `@search` directive, Dgraph constructs a search input type and a query in the GraphQL `Query` type. For example, if the schema contains + +```graphql +type Post { + ... +} +``` + +then Dgraph constructs a `queryPost` GraphQL query for querying posts. The `@search` directives in the `Post` type control how Dgraph builds indexes and what kinds of search it builds into `queryPost`. If the type contains + +```graphql +type Post { + ... + datePublished: DateTime @search +} +``` + +then it's possible to filter posts with a date-time search like: + +```graphql +query { + queryPost(filter: { datePublished: { ge: "2020-06-15" }}) { + ... + } +} +``` + +If the type tells Dgraph to build search capability based on a term (word) index for the `title` field + +```graphql +type Post { + ... + title: String @search(by: [term]) +} +``` + +then, the generated GraphQL API will allow search by terms in the title. + +```graphql +query { + queryPost(filter: { title: { anyofterms: "GraphQL" }}) { + ... + } +} +``` + +Dgraph also builds search into the fields of each type, so searching is available at deep levels in a query. For example, if the schema contained these types + +```graphql +type Post { + ... + title: String @search(by: [term]) +} + +type Author { + name: String @search(by: [hash]) + posts: [Post] +} +``` + +then Dgraph builds GraphQL search such that a query can, for example, find an author by name (from the hash search on `name`) and return only their posts that contain the term "GraphQL". + +```graphql +queryAuthor(filter: { name: { eq: "Diggy" } } ) { + posts(filter: { title: { anyofterms: "GraphQL" }}) { + title + } +} +``` + +There's different search possible for each type as explained below. + +### Int, Float and DateTime + +| argument | constructed filter | +|----------|----------------------| +| none | `lt`, `le`, `eq`, `ge` and `gt` | + +Search for fields of types `Int`, `Float` and `DateTime` is enabled by adding `@search` to the field with no arguments. For example, if a schema contains: + +```graphql +type Post { + ... + numLikes: Int @search +} +``` + +Dgraph generates search into the API for `numLikes` in two ways: a query for posts and field search on any post list. + +A field `queryPost` is added to the `Query` type of the schema. + +```graphql +type Query { + ... + queryPost(filter: PostFilter, order: PostOrder, first: Int, offset: Int): [Post] +} +``` + +`PostFilter` will contain less than `lt`, less than or equal to `le`, equal `eq`, greater than or equal to `ge` and greater than `gt` search on `numLikes`. Allowing for example: + +```graphql +query { + queryPost(filter: { numLikes: { gt: 50 }}) { + ... + } +} +``` + +Also, any field with a type of list of posts has search options added to it. For example, if the input schema also contained: + +```graphql +type Author { + ... + posts: [Post] +} +``` + +Dgraph would insert search into `posts`, with + +```graphql +type Author { + ... + posts(filter: PostFilter, order: PostOrder, first: Int, offset: Int): [Post] +} +``` + +That allows search within the GraphQL query. For example, to find Diggy's posts with more than 50 likes. + +```graphql +queryAuthor(filter: { name: { eq: "Diggy" } } ) { + ... + posts(filter: { numLikes: { gt: 50 }}) { + title + text + } +} +``` + +### DateTime + +| argument | constructed filters | +|----------|----------------------| +| `year`, `month`, `day`, or `hour` | `lt`, `le`, `eq`, `ge` and `gt` | + +As well as `@search` with no arguments, `DateTime` also allows specifying how the search index should be built: by year, month, day or hour. `@search` defaults to year, but once you understand your data and query patterns, you might want to changes that like `@search(by: [day])`. + +### Boolean + +| argument | constructed filter | +|----------|----------------------| +| none | `true` and `false` | + +Booleans can only be tested for true or false. If `isPublished: Boolean @search` is in the schema, then the search allows + +```graphql +filter: { isPublished: true } +``` + +and + +```graphql +filter: { isPublished: false } +``` + +### String + +Strings allow a wider variety of search options than other types. For strings, you have the following options as arguments to `@search`. + +| argument | constructed searches | +|----------|----------------------| +| `hash` | `eq` | +| `exact` | `lt`, `le`, `eq`, `ge` and `gt` (lexicographically) | +| `regexp` | `regexp` (regular expressions) | +| `term` | `allofterms` and `anyofterms` | +| `fulltext` | `alloftext` and `anyoftext` | + +* *Schema rule*: `hash` and `exact` can't be used together. + +#### String exact and hash search + +Exact and hash search has the standard lexicographic meaning. + +```graphql +query { + queryAuthor(filter: { name: { eq: "Diggy" } }) { ... } +} +``` + +And for exact search + +```graphql +query { + queryAuthor(filter: { name: { gt: "Diggy" } }) { ... } +} +``` + +to find users with names lexicographically after "Diggy". + +#### String regular expression search + +Search by regular expression requires bracketing the expression with `/` and `/`. For example, query for "Diggy" and anyone else with "iggy" in their name: + +```graphql +query { + queryAuthor(filter: { name: { regexp: "/.*iggy.*/" } }) { ... } +} +``` + +#### String term and fulltext search + +If the schema has + +```graphql +type Post { + title: String @search(by: [term]) + text: String @search(by: [fulltext]) + ... +} +``` + +then + +```graphql +query { + queryPost(filter: { title: { `allofterms: "GraphQL tutorial"` } } ) { ... } +} +``` + +will match all posts with both "GraphQL and "tutorial" in the title, while `anyofterms: "GraphQL tutorial"` would match posts with either "GraphQL" or "tutorial". + +`fulltext` search is Google-stye text search with stop words, stemming. etc. So `alloftext: "run woman"` would match "run" as well as "running", etc. For example, to find posts that talk about fantastic GraphQL tutorials: + +```graphql +query { + queryPost(filter: { title: { `alloftext: "fantastic GraphQL tutorials"` } } ) { ... } +} +``` + +#### Strings with multiple searches + +It's possible to add multiple string indexes to a field. For example to search for authors by `eq` and regular expressions, add both options to the type definition, as follows. + +```graphql +type Author { + ... + name: String! @search(by: [hash, regexp]) +} +``` + +### Enums + +| argument | constructed searches | +|----------|----------------------| +| none | `eq` | +| `hash` | `eq` | +| `exact` | `lt`, `le`, `eq`, `ge` and `gt` (lexicographically) | +| `regexp` | `regexp` (regular expressions) | + +Enums are serialized in Dgraph as strings. `@search` with no arguments is the same as `@search(by: [hash])` and provides only `eq` search. Also available for enums are `exact` and `regexp`. For hash and exact search on enums, the literal enum value, without quotes `"..."`, is used, for regexp, strings are required. For example: + +```graphql +enum Tag { + GraphQL + Database + Question + ... +} + +type Post { + ... + tags: [Tag!]! @search +} +``` + +would allow + +```graphql +query { + queryPost(filter: { tags: { eq: GraphQL } } ) { ... } +} +``` + +Which would find any post with the `GraphQL` tag. + +While `@search(by: [exact, regexp]` would also admit `lt` etc. and + +```graphql +query { + queryPost(filter: { tags: { regexp: "/.*aph.*/" } } ) { ... } +} +``` + +which is helpful for example if the enums are something like product codes where regular expressions can match a number of values. diff --git a/wiki/content/graphql/schema/types.md b/wiki/content/graphql/schema/types.md new file mode 100644 index 00000000000..6374eaa77e4 --- /dev/null +++ b/wiki/content/graphql/schema/types.md @@ -0,0 +1,131 @@ ++++ +title = "Types" +[menu.main] + parent = "schema" + weight = 2 ++++ + +This page describes how you use GraphQL types to set the Dgraph GraphQL schema. + +### Scalars + +Dgraph GraphQL comes with the standard GraphQL scalars: `Int`, `Float`, `String`, `Boolean` and `ID`. There's also a `DateTime` scalar - represented as a string in RFC3339 format. + +Scalars `Int`, `Float`, `String` and `DateTime` can be used in lists. All scalars may be nullable or non-nullable. + +The `ID` type is special. IDs are auto-generated, immutable, and can be treated as strings. Fields of type `ID` can be listed as nullable in a schema, but Dgraph will never return null. + +* *Schema rule*: `ID` lists aren't allowed - e.g. `tags: [String]` is valid, but `ids: [ID]` is not. +* *Schema rule*: Each type you define can have at most one field with type `ID`. That includes IDs implemented through interfaces. + +It's not possible to define further scalars - you'll receive an error if the input schema contains the definition of a new scalar. + +For example, the following GraphQL type uses all of the available scalars. + +```graphql +type User { + userID: ID! + name: String! + lastSignIn: DateTime + recentScores: [Float] + reputation: Int + active: Boolean +} +``` + +Scalar lists in Dgraph act more like sets, so `tags: [String]` would always contain unique tags. Similarly, `recentScores: [Float]` could never contain duplicate scores. + +### Enums + +You can define enums in your input schema. For example: + +```graphql +enum Tag { + GraphQL + Database + Question + ... +} + +type Post { + ... + tags: [Tag!]! +} +``` + +### Types + +From the built-in scalars and the enums you add, you can generate types in the usual way for GraphQL. For example: + +```graphql +enum Tag { + GraphQL + Database + Dgraph +} + +type Post { + id: ID! + title: String! + text: String + datePublished: DateTime + tags: [Tag!]! + author: Author! +} + +type Author { + id: ID! + name: String! + posts: [Post!] + friends: [Author] +} +``` + +* *Schema rule*: Lists of lists aren't accepted. For example: `multiTags: [[Tag!]]` isn't valid. +* *Schema rule*: Fields with arguments are not accepted in the input schema unless the field is implemented using the `@custom` directive. + +### Interfaces + +GraphQL interfaces allow you to define a generic pattern that multiple types follow. When a type implements an interface, that means it has all fields of the interface and some extras. + +When a type implements an interface, GraphQL requires that the type repeats all the fields from the interface, but that's just boilerplate and a maintenance problem, so Dgraph doesn't need that repetition in the input schema and will generate the correct GraphQL for you. + +For example, the following defines the schema for posts with comment threads; Dgraph will fill in the `Question` and `Comment` types to make the full GraphQL types. + +```graphql +interface Post { + id: ID! + text: String + datePublished: DateTime +} + +type Question implements Post { + title: String! +} + +type Comment implements Post { + commentsOn: Post! +} +``` + +The generated GraphQL will contain the full types, for example, `Question` gets expanded as: + +```graphql +type Question implements Post { + id: ID! + text: String + datePublished: DateTime + title: String! +} +``` + +while `Comment` gets expanded as: + +```graphql +type Comment implements Post { + id: ID! + text: String + datePublished: DateTime + commentsOn: Post! +} +``` diff --git a/wiki/content/graphql/subscriptions/index.md b/wiki/content/graphql/subscriptions/index.md new file mode 100644 index 00000000000..9553de76c24 --- /dev/null +++ b/wiki/content/graphql/subscriptions/index.md @@ -0,0 +1,38 @@ ++++ +title = "GraphQL Subscriptions" +[menu.main] + url = "/graphql/subscriptions/" + name = "Subscriptions" + identifier = "subscriptions" + parent = "graphql" + weight = 8 ++++ + +Subscriptions allow clients to listen to real-time messages from the server. The client connects to the server via a bi-directional communication channel using WebSocket and sends a subscription query that specifies which event it is interested in. When an event is triggered, the server executes the stored GraphQL query, and the result is sent through the same communication channel back to the client. + +The client can unsubscribe by sending a message to the server. The server can also unsubscribe at any time due to errors or timeout. Another significant difference between queries/mutations and a subscription is that subscriptions are stateful and require maintaining the GraphQL document, variables, and context over the lifetime of the subscription. + +![Subscription](/images/graphql/subscription_flow.png "Subscription in GraphQL") + +## Enable Subscriptions + +In GraphQL, it's straightforward to enable subscriptions on any type. We add the directive `@withSubscription` in the schema along with the type definition. + +```graphql +type Todo @withSubscription { + id: ID! + title: String! + description: String! + completed: Boolean! +} +``` + +## Example + +Once the schema is added, you can fire a subscription query, and we receive updates when the subscription query result is updated. + +![Subscription](/images/graphql/subscription_example.gif "Subscription Example") + +## Apollo Client Setup + +Here is an excellent blog explaining in detail on [how to set up GraphQL Subscriptions using Apollo client](https://dgraph.io/blog/post/how-does-graphql-subscription/). diff --git a/wiki/content/graphql/todo-app-tutorial/_index.md b/wiki/content/graphql/todo-app-tutorial/_index.md new file mode 100644 index 00000000000..8de6f4ae05f --- /dev/null +++ b/wiki/content/graphql/todo-app-tutorial/_index.md @@ -0,0 +1,8 @@ ++++ +title = "Todo Tutorial" +[menu.main] + url = "/graphql/todo-app-tutorial/" + identifier = "todo-app-tutorial" + parent = "graphql" + weight = 10 ++++ \ No newline at end of file diff --git a/wiki/content/graphql/todo-app-tutorial/deploy.md b/wiki/content/graphql/todo-app-tutorial/deploy.md new file mode 100644 index 00000000000..d60fc41d5d3 --- /dev/null +++ b/wiki/content/graphql/todo-app-tutorial/deploy.md @@ -0,0 +1,72 @@ ++++ +title = "Deploying on Slash GraphQL" +[menu.main] + parent = "todo-app-tutorial" + weight = 6 ++++ + +*You can join the waitlist for Slash GraphQL [here](https://dgraph.io/slash-graphql).* + +Let's now deploy our fully functional app on Slash GraphQL [slash.dgraph.io](https://slash.dgraph.io). + +### Create a deployment + +After successfully logging into the site for the first time, your dashboard should look something like this. + +![Slash-GraphQL: Get Started](/images/graphql/tutorial/todo/slash-graphql-1.png) + +Let's go ahead and create a new deployment. + +![Slash-GraphQL: Create deployment](/images/graphql/tutorial/todo/slash-graphql-2.png) + +We named our deployment `todo-app-deployment` and set the optional subdomain as +`todo-app`, using which the deployment will be accessible. We can choose any +subdomain here as long as it is available. + +Let's set it up in AWS, in the US region, and click on the *Create Deployment* button. + +![Slash-GraphQL: Deployment created ](/images/graphql/tutorial/todo/slash-graphql-3.png) + +While the deployment is spinning up, remember to copy the API key, as the same API key +won't be visible again. Though, you don't need to worry too much about it since you can +create and revoke API keys from the setting page. + +Let's also copy the endpoint, which is our GraphQL API endpoint. + +Once the deployment is ready, let's add our schema there (insert your public key) by going to the schema tab. + +```graphql +type Task @auth( + query: { rule: """ + query($USER: String!) { + queryTask { + user(filter: { username: { eq: $USER } }) { + __typename + } + } + }"""}), { + id: ID! + title: String! @search(by: [fulltext]) + completed: Boolean! @search + user: User! +} +type User { + username: String! @id @search(by: [hash]) + name: String + tasks: [Task] @hasInverse(field: user) +} +# Dgraph.Authorization X-Auth0-Token https://dgraph.io/jwt/claims RS256 "" +``` + +Once the schema is submitted successfully, we can use the GraphQL API endpoint. + +Let's update our frontend to use this URL instead of localhost. Open `src/config.json` and update the `graphqlUrl` field with your GraphQL API endpoint. + +```json +{ + ... + "graphqlUrl": "" +} +``` + +That's it! Just in two steps on Slash GraphQL (deployment & schema), we got a GraphQL API that we can now easily use in any application! diff --git a/wiki/content/graphql/todo-app-tutorial/todo-UI.md b/wiki/content/graphql/todo-app-tutorial/todo-UI.md new file mode 100644 index 00000000000..ba6583ffb9d --- /dev/null +++ b/wiki/content/graphql/todo-app-tutorial/todo-UI.md @@ -0,0 +1,330 @@ ++++ +title = "Creating basic UI" +[menu.main] + parent = "todo-app-tutorial" + weight = 3 ++++ + +In this step, we will create a simple todo app (React) and integrate it with Auth0. + +## Create React app + +Let's start by creating a React app using the `create-react-app` command. + +``` +npx create-react-app todo-react-app +``` + +To verify navigate to the folder, start the dev server, and visit [http://localhost:3000](http://localhost:3000). + +``` +cd todo-react-app +npm start +``` + +Refer this step in [GitHub](https://github.com/dgraph-io/graphql-sample-apps/commit/bc235fda6e7557fc9204dd886c67f7eec7bdcadb). + +## Install dependencies + +Now, let's install the various dependencies that we will need in the app. + +``` +npm install todomvc-app-css classnames graphql-tag history react-router-dom +``` + +Refer this step in [GitHub](https://github.com/dgraph-io/graphql-sample-apps/commit/fc7ed70fdde368179e9d7310202b1a0952d2c5c1). + +## Setup Apollo Client + +Let's start with installing the Apollo dependencies and then create a setup. + +``` +npm install @apollo/react-hooks apollo-cache-inmemory apollo-client apollo-link-http graphql apollo-link-context +``` + +Now, let's update our `src/App.js` with the below content to include the Apollo client setup. + +```javascript +import React from "react" + +import ApolloClient from "apollo-client" +import { InMemoryCache } from "apollo-cache-inmemory" +import { ApolloProvider } from "@apollo/react-hooks" +import { createHttpLink } from "apollo-link-http" + +import "./App.css" + +const createApolloClient = () => { + const httpLink = createHttpLink({ + uri: "http://localhost:8080/graphql", + options: { + reconnect: true, + }, + }) + + return new ApolloClient({ + link: httpLink, + cache: new InMemoryCache(), + }) +} + +const App = () => { + const client = createApolloClient() + return ( + +
+

todos

+ +
+ + ) +} + +export default App +``` + +Here we have created a simple instance of the Apollo client and passed the URL of our GraphQL API. Then we have passed the client to `ApolloProvider` and wrapped our `App` so that its accessible throughout the app. + +Refer this step in [GitHub](https://github.com/dgraph-io/graphql-sample-apps/commit/f3fedc663e75d2f8ce933432b15db5d5d080ccc2). + +## Queries and Mutations + +Now, let's add some queries and mutations. + +First, let's see how we can add a todo and get todos. Create a file `src/GraphQLData.js` and add the following. + +```javascript +import gql from "graphql-tag"; + +export const ADD_TODO = gql` + mutation addTask($task: [AddTaskInput!]!) { + addTask(input: $task) { + task { + id + title + } + } + } +` +export const GET_TODOS = gql` + query { + queryTask { + id + title + completed + } + } +` +``` + +Refer to the complete set of queries and mutations [here](https://github.com/dgraph-io/graphql-sample-apps/blob/948e9a8626b1f0c1e40de02485a1110b45f53b89/todo-app-react/src/GraphQLData.js). + +Now, let's see how to use that to add a todo. +Let's import the dependencies first in `src/TodoApp.js` + +```javascript +import { useQuery, useMutation } from "@apollo/react-hooks" +import { GET_TODOS, ADD_TODO } from "./GraphQLData" +``` + +Let's now create the functions to add a todo and get todos. + +```javascript +const TodoApp = () => { + +... +const [addTodo] = useMutation(ADD_TODO); + +const { loading, error, data } = useQuery(GET_TODOS); + const getData = () => { + if (loading) { + return null; + } + if (error) { + console.error(`GET_TODOS error: ${error}`); + return `Error: ${error.message}`; + } + if (data.queryTask) { + setShownTodos(data.queryTask) + } + } + + ... + +const add = (title) => + addTodo({ + variables: { task: [ + { title: title, completed: false, user: { username: "email@example.com" } } + ]}, + refetchQueries: [{ + query: GET_TODOS + }] + }); + ... + +``` + +Refer the complete set of functions [here](https://github.com/dgraph-io/graphql-sample-apps/blob/948e9a8626b1f0c1e40de02485a1110b45f53b89/todo-app-react/src/TodoApp.js). + +Also, check the other files updated in this step and make those changes as well. + +Refer this step in [GitHub](https://github.com/dgraph-io/graphql-sample-apps/commit/948e9a8626b1f0c1e40de02485a1110b45f53b89). + +## Auth0 Integration + +Now, let's integrate Auth0 in our application and use that to add the logged-in user. Let's first create an app in Auth0. + +- Head over to Auth0 and create an account. Click 'sign up' [here](https://auth0.com/) +- Once the signup is done, click "Create Application" in "Integrate Auth0 into your application". +- Give your app a name and select "Single Page Web App" application type +- Select React as the technology +- No need to do the sample app, scroll down to "Configure Auth0" and select "Application Settings". +- Select your app and add the values of `domain` and `clientid` in the file `src/auth_template.json`. Check this [link](https://auth0.com/docs/quickstart/spa/react/01-login#configure-auth0) for more information. +- Add `http://localhost:3000` to "Allowed Callback URLs", "Allowed Web Origins" and "Allowed Logout URLs". + +Check the commit [here](https://github.com/dgraph-io/graphql-sample-apps/commit/4c9c42e1ae64545cb10a24922623a196288d061c) for verifying the Auth0 setup you did after following the above steps. + +Let's also add definitions for getting a user and adding it to `src/GraphQLData.js`. + +```javascript +import gql from "graphql-tag"; + +export const GET_USER = gql` + query getUser($username: String!) { + getUser(username: $username) { + username + name + tasks { + id + title + completed + } + } + } +` + +export const ADD_USER = gql` + mutation addUser($user: AddUserInput!) { + addUser(input: [$user]) { + user { + username + } + } + } +` +``` + +Check the updated file [here](https://github.com/dgraph-io/graphql-sample-apps/blob/4c9c42e1ae64545cb10a24922623a196288d061c/todo-app-react/src/GraphQLData.js) + +Now, let's also add functions for these in `src/TodoApp.js`. + +```javascript +... +import { GET_USER, GET_TODOS, ADD_USER, ADD_TODO, DELETE_TODO, TOGGLE_TODO, UPDATE_TODO, CLEAR_COMPLETED_TODO, TOGGLE_ALL_TODO } from "./GraphQLData"; +import { useAuth0 } from "./react-auth0-spa"; + +... + +const useImperativeQuery = (query) => { + const { refetch } = useQuery(query, { skip: true }); + const imperativelyCallQuery = (variables) => { + return refetch(variables); + }; + return imperativelyCallQuery; +}; + +const TodoApp = () => { + + ... + const [newTodo, setNewTodo] = useState(""); + const [shownTodos, setShownTodos] = useState([]); + + const [addUser] = useMutation(ADD_USER); + + ... + + const [updateTodo] = useMutation(UPDATE_TODO); + const [clearCompletedTodo] = useMutation(CLEAR_COMPLETED_TODO); + const getUsers = useImperativeQuery(GET_USER) + + const { user } = useAuth0(); + + const createUser = () => { + if (user === undefined) { + return null; + } + const { data: getUser } = getUsers({ + username: user.email + }); + if (getUser && getUser.getUser === null) { + const newUser = { + username: user.email, + name: user.nickname, + }; + addUser({ + variables: { + user: newUser + } + }) + } + } +} + +... + +``` + +Check all the changes for the file [here](https://github.com/dgraph-io/graphql-sample-apps/blob/4c9c42e1ae64545cb10a24922623a196288d061c/todo-app-react/src/TodoApp.js) + +Let's create a short profile page to display user details. Add files `src/Profile.js` and `src/Profile.css`. + +```javascript +import React from "react"; +import { useAuth0 } from "./react-auth0-spa"; +import './Profile.css'; + +const Profile = () => { + const { loading, user } = useAuth0(); + + if (loading || !user) { + return
Loading...
; + } + + return ( +
+ Profile +

Name: {user.nickname}

+

Email: {user.email}

+
+ ); +}; + +export default Profile; +``` + +```css +.profile { + padding: 15px; +} +.profile-img { + display: block; + margin: 0 auto; + border-radius: 50%; +} +``` + +Also, check the other files updated in this step and make those changes as well. + +Refer this step in [GitHub](https://github.com/dgraph-io/graphql-sample-apps/commit/4c9c42e1ae64545cb10a24922623a196288d061c). + +Let's now start the app. + +``` +npm start +``` + +Now you should have an app running! diff --git a/wiki/content/graphql/todo-app-tutorial/todo-auth-rules.md b/wiki/content/graphql/todo-app-tutorial/todo-auth-rules.md new file mode 100644 index 00000000000..03cecd024e1 --- /dev/null +++ b/wiki/content/graphql/todo-app-tutorial/todo-auth-rules.md @@ -0,0 +1,57 @@ ++++ +title = "Auth Rules" +[menu.main] + parent = "todo-app-tutorial" + weight = 4 ++++ + +In the current state of the app, we can view anyone's todos, but we want our todos to be private to us. Let's do that using the `auth` directive to limit that to the user's todos. + +We want to limit the user to its own todos, so we will define the query in `auth` to filter depending on the user's username. + +Let's update the schema to include that, and then let's understand what is happening there - + +```graphql +type Task @auth( + query: { rule: """ + query($USER: String!) { + queryTask { + user(filter: { username: { eq: $USER } }) { + __typename + } + } + }"""}){ + id: ID! + title: String! @search(by: [fulltext]) + completed: Boolean! @search + user: User! +} +type User { + username: String! @id @search(by: [hash]) + name: String + tasks: [Task] @hasInverse(field: user) +} +``` + +Resubmit the updated schema - +``` +curl -X POST localhost:8080/admin/schema --data-binary '@schema.graphql' +``` + +Now let's see what does the definition inside the `auth` directive means. Firstly, we can see that this rule applies to `query` (similarly we can define rules on `add`, `update` etc.). + +```graphql + query ($USER: String!) { + queryTask { + user(filter: {username: {eq: $USER}}) { + __typename + } + } +} +``` + +The rule contains a parameter `USER` which we will use to filter the todos by a user. As we know `queryTask` returns an array of `task` that contains the `user` also and we want to filter it by `user`, so we compare the `username` of the user with the `USER` passed to the auth rule (logged in user). + +Now the next thing you would be wondering is that how do we pass a value for the `USER` parameter in the auth rule since its not something that you can call, the answer is pretty simple actually that value will be extracted from the JWT token which we pass to our GraphQL API as a header and then it will execute the rule. + +Let's see how we can do that in the next step using Auth0 as an example. diff --git a/wiki/content/graphql/todo-app-tutorial/todo-auth0-jwt.md b/wiki/content/graphql/todo-app-tutorial/todo-auth0-jwt.md new file mode 100644 index 00000000000..2ed2f11e5a6 --- /dev/null +++ b/wiki/content/graphql/todo-app-tutorial/todo-auth0-jwt.md @@ -0,0 +1,214 @@ ++++ +title = "Using Auth0" +[menu.main] + parent = "todo-app-tutorial" + weight = 5 ++++ + +Let's start by going to our Auth0 dashboard where we can see the application which we have already created and used in our frontend-application. + +![Dashboard](/images/graphql/tutorial/todo/dashboard.png) + +Now we want to use the JWT that Auth0 generates, but we also need to add custom claims to that token which will be used by our auth rules. +So we can use something known as "Rules" (left sidebar on dashboard page) to add custom claims to a token. Let's create a new empty rule. + +![Rule](/images/graphql/tutorial/todo/rule.png) + +Replace the content with the the following - +```javascript +function (user, context, callback) { + const namespace = "https://dgraph.io/jwt/claims"; + context.idToken[namespace] = + { + 'USER': user.email, + }; + + return callback(null, user, context); +} +``` + +In the above function, we are only just adding the custom claim to the token with a field as `USER` which if you recall from the last step is used in our auth rules, so it needs to match exactly with that name. + +Now let's go to `Settings` of our Auth0 application and then go down to view the `Advanced Settings` to check the JWT signature algorithm (OAuth tab) and then get the certificate (Certificates tab). We will be using `RS256` in this example so let's make sure it's set to that and then copy the certificate which we will use to get the public key. Use the download certificate button there to get the certificate in `PEM`. + +![Certificate](/images/graphql/tutorial/todo/certificate.png) + +Now let's run a command to get the public key from it, which we will add to our schema. Just change the `file_name` and run the command. + +``` +openssl x509 -pubkey -noout -in file_name.pem +``` + +Copy the public key and now let's add it to our schema. For doing that we will add something like this, to the bottom of our schema file - + +``` +# Dgraph.Authorization X-Auth0-Token https://dgraph.io/jwt/claims RS256 "" +``` + +Let me just quickly explain what each thing means in that, so firstly we start the line with a `# Dgraph.Authorization`, next is the name of the header `X-Auth0-Token` (can be anything) which will be used to send the value of the JWT. Next is the custom-claim name `https://dgraph.io/jwt/claims` (again can be anything, just needs to match with the name specified in Auth0). Then next is the `RS256` the JWT signature algorithm (another option is `HS256` but remember to use the same algorithm in Auth0) and lastly, update `` with your public key within the quotes and make sure to have it in a single line and add `\n` where ever needed. The updated schema will look something like this (update the public key with your key) - + +```graphql +type Task @auth( + query: { rule: """ + query($USER: String!) { + queryTask { + user(filter: { username: { eq: $USER } }) { + __typename + } + } + }"""}), { + id: ID! + title: String! @search(by: [fulltext]) + completed: Boolean! @search + user: User! +} +type User { + username: String! @id @search(by: [hash]) + name: String + tasks: [Task] @hasInverse(field: user) +} +# Dgraph.Authorization X-Auth0-Token https://dgraph.io/jwt/claims RS256 "" +``` + +Resubmit the updated schema - +``` +curl -X POST localhost:8080/admin/schema --data-binary '@schema.graphql' +``` + +Let's get that token and see what all it contains, then update the frontend accordingly. For doing this, let's start our app again. + +``` +npm start +``` + +Now open a browser window, navigate to [http://localhost:3000](http://localhost:3000) and open the developer tools, go to the `network` tab and find a call called `token` to get your JWT from its response JSON (field `id_token`). + +![Token](/images/graphql/tutorial/todo/token.png) + +Now go to [jwt.io](https://jwt.io) and paste your token there. + +![jwt](/images/graphql/tutorial/todo/jwt.png) + +The token also includes our custom claim like below. + +```json +{ +"https://dgraph.io/jwt/claims": { + "USER": "vardhanapoorv" + }, + ... +} + ``` + +Now, you can check if the auth rule that we added is working as expected or not. Open the GraphQL tool (Insomnia, GraphQL Playground) add the URL along with the header `X-Auth0-Token` and its value as the JWT. Let's try the query to see the todos and only the todos the logged-in user created should be visible. +```graphql +query { + queryTask { + title + completed + user { + username + } + } +} +``` + +The above should give you only your todos and verifies that our auth rule worked! + +Now let's update our frontend application to include the `X-Auth0-Token` header with value as JWT from Auth0 when sending a request. + +To do this, we need to update the Apollo client setup to include the header while sending the request, and we need to get the JWT from Auth0. + +The value we want is in the field `idToken` from Auth0. We get that by quickly updating `react-auth0-spa.js` to get `idToken` and pass it as a prop to our `App`. + +```javascript +... + +const [popupOpen, setPopupOpen] = useState(false); +const [idToken, setIdToken] = useState(""); + +... + +if (isAuthenticated) { + const user = await auth0FromHook.getUser(); + setUser(user); + const idTokenClaims = await auth0FromHook.getIdTokenClaims(); + setIdToken(idTokenClaims.__raw); +} + +... + +const user = await auth0Client.getUser(); +const idTokenClaims = await auth0Client.getIdTokenClaims(); + +setIdToken(idTokenClaims.__raw); + +... + +{children} + + + +... + +``` + +Check the updated file [here](https://github.com/dgraph-io/graphql-sample-apps/blob/c94b6eb1cec051238b81482a049100b1cd15bbf7/todo-app-react/src/react-auth0-spa.js) + + Now let's use that token while creating an Apollo client instance and give it to a header `X-Auth0-Token` in our case. Let's update our `src/App.js` file. + +```javascript +... + +import { useAuth0 } from "./react-auth0-spa"; +import { setContext } from "apollo-link-context"; + +// Updated to take token +const createApolloClient = token => { + const httpLink = createHttpLink({ + uri: config.graphqlUrl, + options: { + reconnect: true, + }, +}); + +// Add header +const authLink = setContext((_, { headers }) => { + // return the headers to the context so httpLink can read them + return { + headers: { + ...headers, + "X-Auth-Token": token, + }, + }; +}); + +// Include header +return new ApolloClient({ + link: httpLink, + link: authLink.concat(httpLink), + cache: new InMemoryCache() +}); + +// Get token from props and pass to function +const App = ({idToken}) => { + const { loading } = useAuth0(); + if (loading) { + return
Loading...
; + } +const client = createApolloClient(idToken); + +... +``` + +Check the updated file [here](https://github.com/dgraph-io/graphql-sample-apps/blob/c94b6eb1cec051238b81482a049100b1cd15bbf7/todo-app-react/src/App.js). + +Refer this step in [GitHub](https://github.com/dgraph-io/graphql-sample-apps/commit/c94b6eb1cec051238b81482a049100b1cd15bbf7). + +Let's now start the app. + +``` +npm start +``` + +Now you should have an app running with Auth0! diff --git a/wiki/content/graphql/todo-app-tutorial/todo-overview.md b/wiki/content/graphql/todo-app-tutorial/todo-overview.md new file mode 100644 index 00000000000..bc425599238 --- /dev/null +++ b/wiki/content/graphql/todo-app-tutorial/todo-overview.md @@ -0,0 +1,19 @@ ++++ +title = "Overview" +[menu.main] + parent = "todo-app-tutorial" + identifier = "todo-overview" + weight = 1 ++++ + +This is a simple tutorial which will take you through making a basic todo app using Dgraph's GraphQL API and integrating it with Auth0. + +### Steps + +- [Schema Design](../todo-schema-design) +- [Basic UI](../todo-ui) +- [Add Auth Rules](../todo-auth-rules) +- [Use Auth0's JWT](../todo-auth0-jwt) +- [Deploy on Slash GraphQL](../deploy) + +--- diff --git a/wiki/content/graphql/todo-app-tutorial/todo-schema-design.md b/wiki/content/graphql/todo-app-tutorial/todo-schema-design.md new file mode 100644 index 00000000000..14e042d3c89 --- /dev/null +++ b/wiki/content/graphql/todo-app-tutorial/todo-schema-design.md @@ -0,0 +1,251 @@ ++++ +title = "Schema Design" +[menu.main] + parent = "todo-app-tutorial" + weight = 2 ++++ + +Let's start with listing down the entities that are involved in a basic todo app. +- Task +- User + +![Todo Graph](/images/graphql/tutorial/todo/todo-graph.png) + +Equivalent GraphQL schema for the graph above would be as follow: + +```graphql +type Task { + ... +} + +type User { + ... +} +``` + +What are the fields that these two simple entities contain? + +We have a title and a status to check if it was completed or not in the `Task` type. +Then the `User` type has a username (unique identifier), name and the tasks. + +So each user can have many tasks. + +![Todo Graph complete](/images/graphql/tutorial/todo/todo-graph-2.png) +*Note - ' \* ' signifies one-to-many relationship + +Now let's add `@id` directive to `username ` which makes it the unique key & also add `@hasInverse` directive to enable the above relationship between tasks and user. +We represent that in the GraphQL schema shown below: + +```graphql +type Task { + id: ID! + title: String! + completed: Boolean! + user: User! +} + +type User { + username: String! @id + name: String + tasks: [Task] @hasInverse(field: user) +} +``` + +Save the content in a file `schema.graphql`. + +## Running + +Before we begin, make sure that you have [Docker](https://docs.docker.com/install/) +installed on your machine. + +Let's begin by starting Dgraph standalone by running the command below: + +``` +docker run -it -p 8080:8080 dgraph/standalone:master +``` + +Let's load up the GraphQL schema file to Dgraph: + +``` +curl -X POST localhost:8080/admin/schema --data-binary '@schema.graphql' +``` + +You can access that GraphQL endpoint with any of the great GraphQL developer tools. +Good choices include GraphQL Playground, Insomnia, GraphiQL and Altair. + +Set up any of them and point it at `http://localhost:8080/graphql`. If you know lots about GraphQL, you might want to explore the schema, queries and mutations that were generated from the schema. + +## Mutating Data + +Let's add a user and some todos in our Todo App. + +```graphql +mutation { + addUser(input: [ + { + username: "alice@dgraph.io", + name: "Alice", + tasks: [ + { + title: "Avoid touching your face", + completed: false, + }, + { + title: "Stay safe", + completed: false + }, + { + title: "Avoid crowd", + completed: true, + }, + { + title: "Wash your hands often", + completed: true + } + ] + } + ]) { + user { + username + name + tasks { + id + title + } + } + } +} +``` + +## Querying Data + +Let's fetch the todos to list in our Todo App: + +```graphql +query { + queryTask { + id + title + completed + user { + username + } + } +} +``` + +Running the query above should return JSON response as shown below: + +```json +{ + "data": { + "queryTask": [ + { + "id": "0x3", + "title": "Avoid touching your face", + "completed": false, + "user": { + "username": "alice@dgraph.io" + } + }, + { + "id": "0x4", + "title": "Stay safe", + "completed": false, + "user": { + "username": "alice@dgraph.io" + } + }, + { + "id": "0x5", + "title": "Avoid crowd", + "completed": true, + "user": { + "username": "alice@dgraph.io" + } + }, + { + "id": "0x6", + "title": "Wash your hands often", + "completed": true, + "user": { + "username": "alice@dgraph.io" + } + } + ] + } +} +``` + +## Querying Data with Filters + +Before we get into querying data with filters, we will be required +to define search indexes to the specific fields. + +Let's say we have to run a query on the _completed_ field, for which +we add `@search` directive to the field, as shown in the schema below: + +```graphql +type Task { + id: ID! + title: String! + completed: Boolean! @search + user: User! +} +``` + +The `@search` directive is added to support the native search indexes of **Dgraph**. + +Resubmit the updated schema - +``` +curl -X POST localhost:8080/admin/schema --data-binary '@schema.graphql' +``` + +Now, let's fetch all todos which are completed : + +```graphql +query { + queryTask(filter: { + completed: true + }) { + title + completed + } +} +``` + +Next, let's say we have to run a query on the _title_ field, for which +we add another `@search` directive to the field, as shown in the schema below: + +```graphql +type Task { + id: ID! + title: String! @search(by: [fulltext]) + completed: Boolean! @search + user: User! +} +``` + +The `fulltext` search index provides the advanced search capability to perform equality +comparison as well as matching with language-specific stemming and stopwords. + +Resubmit the updated schema - +``` +curl -X POST localhost:8080/admin/schema --data-binary '@schema.graphql' +``` + +Now, let's try to fetch todos whose title has the word _"avoid"_ : + +```graphql +query { + queryTask(filter: { + title: { + alloftext: "avoid" + } + }) { + id + title + completed + } +} +``` diff --git a/wiki/content/mutations/_index.md b/wiki/content/mutations/_index.md index 23c79d346b7..6c111fb5b4e 100644 --- a/wiki/content/mutations/_index.md +++ b/wiki/content/mutations/_index.md @@ -4,6 +4,7 @@ title = "Mutations" [menu.main] url = "/mutations/" identifier = "mutations" + parent = "dql" weight = 6 +++ diff --git a/wiki/content/query-language/_index.md b/wiki/content/query-language/_index.md index f9ad229f3f1..65464bcca4f 100644 --- a/wiki/content/query-language/_index.md +++ b/wiki/content/query-language/_index.md @@ -4,6 +4,6 @@ title = "Query Language" [menu.main] url = "/query-language/" identifier = "query-language" + parent = "dql" weight = 4 +++ - diff --git a/wiki/content/slash-graphql/_index.md b/wiki/content/slash-graphql/_index.md new file mode 100644 index 00000000000..800347f47f7 --- /dev/null +++ b/wiki/content/slash-graphql/_index.md @@ -0,0 +1,7 @@ ++++ +title = "Slash GraphQL" +[menu.main] + url = "/slash-graphql/" + identifier = "slash-graphql" + weight = 4 ++++ \ No newline at end of file diff --git a/wiki/content/slash-graphql/admin/_index.md b/wiki/content/slash-graphql/admin/_index.md new file mode 100644 index 00000000000..b9553a765d8 --- /dev/null +++ b/wiki/content/slash-graphql/admin/_index.md @@ -0,0 +1,8 @@ ++++ +title = "Administering Your Slash GraphQL Backend" +[menu.main] + url = "/slash-graphql/admin/" + identifier = "slash-graphql-admin" + parent = "slash-graphql" + weight = 15 ++++ \ No newline at end of file diff --git a/wiki/content/slash-graphql/admin/authentication.md b/wiki/content/slash-graphql/admin/authentication.md new file mode 100644 index 00000000000..24c54b4f687 --- /dev/null +++ b/wiki/content/slash-graphql/admin/authentication.md @@ -0,0 +1,17 @@ ++++ +title = "Authentication" +[menu.main] + parent = "slash-graphql-admin" + weight = 2 ++++ + +All the APIs documented here require an API token for access. A new API token can be generated from Slash GraphQL by selecting the ["Settings" button](https://slash.dgraph.io/_/settings) from the sidebar, then clicking the Add API Key button. Keep your API key safe, it will not be accessible once you leave the page. + +All admin API requests must be authenticated by passing the API token as the 'X-Auth-Token' header to every HTTP request. You can verify that your API token works by using the following HTTP example. + +``` +curl 'https:///admin' \ + -H 'X-Auth-Token: ' \ + -H 'Content-Type: application/json' \ + --data-binary '{"query":"{ getGQLSchema { schema } }"}' +``` diff --git a/wiki/content/slash-graphql/admin/drop-data.md b/wiki/content/slash-graphql/admin/drop-data.md new file mode 100644 index 00000000000..9a4b952ea5b --- /dev/null +++ b/wiki/content/slash-graphql/admin/drop-data.md @@ -0,0 +1,34 @@ ++++ +title = "Dropping Data from your Backend" +[menu.main] + parent = "slash-graphql-admin" + weight = 5 ++++ + +It is possible to drop all data from your Slash GraphQL backend, and start afresh while retaining the same endpoint. Be careful, as this operation is not reversible, and all data will be lost. It is highly recommended that you [export](../import-export) your data before you drop your data. + +In order to drop all data while retaining the schema, please click the `Drop Data` button under the [Settings](https://slash.dgraph.io/_/settings) tab in the sidebar. + +### Dropping Data Programatically + +In order to do this, call the `dropData` mutation on `/admin/slash`. As an example, if your graphql endpoint is `https://frozen-mango-42.us-west-2.aws.cloud.dgraph.io/graphql`, then the admin endpoint for schema will be at `https://frozen-mango.us-west-2.aws.cloud.dgraph.io/admin/slash`. + +Please note that this endpoint requires [Authentication](../authentication). + +Please see the following curl as an example. + +``` +curl 'https:///admin/slash' \ + -H 'X-Auth-Token: ' \ + -H 'Content-Type: application/graphql' \ + --data-binary 'mutation { dropData(allData: true) { response { code message } } }' +``` + +If you would like to drop the schema along with the data, then you can set the `allDataAndSchema` flag. + +``` +curl 'https:///admin/slash' \ + -H 'X-Auth-Token: ' \ + -H 'Content-Type: application/graphql' \ + --data-binary 'mutation { dropData(allDataAndSchema: true) { response { code message } } }' +``` diff --git a/wiki/content/slash-graphql/admin/import-export.md b/wiki/content/slash-graphql/admin/import-export.md new file mode 100644 index 00000000000..e112a601761 --- /dev/null +++ b/wiki/content/slash-graphql/admin/import-export.md @@ -0,0 +1,47 @@ ++++ +title = "Importing and Exporting data from Slash GraphQL" +[menu.main] + parent = "slash-graphql-admin" + weight = 4 ++++ + +It is possible to export your data from one slash backend, and then import this data back into another Dgraph instance or Slash Backend. + +## Exporting Data + +It is possible to export your data via a JSON format. In order to do this, call the `export` mutation on `/admin/slash`. As an example, if your graphql endpoint is `https://frozen-mango-42.us-west-2.aws.cloud.dgraph.io/graphql`, then the admin endpoint for schema will be at `https://frozen-mango.us-west-2.aws.cloud.dgraph.io/admin/slash`. + +Please note that this endpoint requires [Authentication](../authentication). + +Below is a sample GraphQL body to export data to JSON. + +```graphql +{ + mutation { + export { + response { code message } + signedUrls + } + } +} +``` + +The `signedUrls` output field contains a list of URLs which can be downloaded. The URLs will expire after 48 hours. + +Export will usually return 3 files: +* g01.gql_schema.gz - The GraphQL schema file. This file can be reimported via the [Schema APIs](../schema) +* g01.json.gz - the data from your instance, which can be imported via live loader +* g01.schema.gz - This file is the internal Dgraph schema. If you have set up your backend with a GraphQL schema, then you should be able to ignore this file. + +## Importing data with Live Loader + +It is possible to import data into a Slash GraphQL backend using [live loader](https://dgraph.io/docs/deploy/#live-loader). In order to import data, do the following steps + +1. First import your schema into your Slash GraphQL backend, using either the [Schema API](../schema) or via [the Schema Page](https://slash.dgraph.io/_/schema). +2. Find the gRPC endpoint for your cluster, as described in the [advanced queries](/slash-graphql/advanced-queries) section. This will look like frozen-mango-42.grpc.us-west-1.aws.cloud.dgraph.io:443 +3. Run the live loader as follows. Do note that running this via docker requires you to use an unreleased tag (either master or v20.07-slash) + +``` +docker run -it --rm -v /path/to/g01.json.gz:/tmp/g01.json.gz dgraph/dgraph:v20.07-slash \ + dgraph live --slash_grpc_endpoint=:443 -f /tmp/g01.json.gz -t +``` diff --git a/wiki/content/slash-graphql/admin/overview.md b/wiki/content/slash-graphql/admin/overview.md new file mode 100644 index 00000000000..18fa060f956 --- /dev/null +++ b/wiki/content/slash-graphql/admin/overview.md @@ -0,0 +1,22 @@ ++++ +date = "2017-03-20T22:25:17+11:00" +title = "Overview" +[menu.main] + parent = "slash-graphql-admin" + name = "Overview" + identifier = "slash-overview" + weight = 1 ++++ + +*These are draft docs for Slash GraphQL, which is currently in beta* + +Here is a guide to programatically administering your Slash GraphQL backend. + +Wherever possible, we have maintained compatibility with the corresponding Dgraph API, with the additional step of requiring authentication via the 'X-Auth-Token' header. + +Please see the following topics: + +* [Authentication](../authentication) will guide you in creating a API token. Since all admin APIs require an auth token, this is a good place to start. +* [Schema](../schema) describes how to programatically query and update your GraphQL schema. +* [Import and Exporting Data](../import-export) is a guide for exporting your data from a Slash GraphQL backend, and how to import it into another cluster +* [Dropping Data](../drop-data) will guide you through dropping all data from your Slash GraphQL backend. diff --git a/wiki/content/slash-graphql/admin/schema.md b/wiki/content/slash-graphql/admin/schema.md new file mode 100644 index 00000000000..88da412a231 --- /dev/null +++ b/wiki/content/slash-graphql/admin/schema.md @@ -0,0 +1,38 @@ ++++ +title = "Fetching and Updating Your Schema" +[menu.main] + parent = "slash-graphql-admin" + weight = 3 ++++ + +Your GraphQL schema can be fetched and updated using the `/admin` endpoint of your cluster. As an example, if your graphql endpoint is `https://frozen-mango-42.us-west-2.aws.cloud.dgraph.io/graphql`, then the admin endpoint for schema will be at `https://frozen-mango.us-west-2.aws.cloud.dgraph.io/admin`. + +This endpoint works in a similar way to the [/admin](/graphql/admin) endpoint of Dgraph, with the additional constraint of [requiring authentication](../authentication). + +### Fetching the Current Schema + +It is possible to fetch your current schema using the `getGQLSchema` query on `/admin`. Below is a sample GraphQL query which will fetch this schema. + +```graphql +{ + getGQLSchema { + schema + } +} +``` + +### Setting a New Schema + +You can save a new schema using the `updateGQLSchema` mutation on `/admin`. Below is an example GraphQL body, with a variable called sch which must be passed in as a [variable](https://graphql.org/graphql-js/passing-arguments/) + +```graphql +mutation($sch: String!) { + updateGQLSchema(input: { set: { schema: $sch}}) + { + gqlSchema { + schema + generatedSchema + } + } +} +``` diff --git a/wiki/content/slash-graphql/advanced-queries.md b/wiki/content/slash-graphql/advanced-queries.md new file mode 100644 index 00000000000..fc73cd58c68 --- /dev/null +++ b/wiki/content/slash-graphql/advanced-queries.md @@ -0,0 +1,130 @@ ++++ +title = "Advanced Queries with GraphQL+-" +[menu.main] + parent = "slash-graphql" + weight = 2 ++++ + +*It is now possible to [embed GraphQL+- queries inside your GraphQL schema](/graphql/custom/graphqlpm), which is recommended for most use cases. The rest of this document covers how to connect to connect to your Slash GraphQL backend with existing Dgraph clients.* + +Slash GraphQL also supports running advanced queries with `GraphQL+-`, a query language that is unique to Dgraph. GraphQL+- should be used by advanced users who wish to make queries and mutations using existing Dgraph client libraries, either via the HTTP or gRPC endpoints. You can learn more about existing client libraries by following this [documentation](https://dgraph.io/docs/clients/). + +If you are getting started with Slash GraphQL, you might want to consider using our [GraphQL APIs](/graphql/overview) instead. It will get you quickly started on the basics of using Slash GraphQL before you go into advanced topics. + +Please note that Slash GraphQL does not allow you to alter the schema or create new predicates via GraphQL+-. You will also not be able ta access the /alter endpoint or it's gRPC equivalent. Please add your schema through the GraphQL endpoint (either via the UI or via the Admin API), before accessing the data with GraphQL+-. + +## Authentication + +All the APIs documented here require an API token for access. Please see [Authentication](/slash-graphql/admin/authentication) if you would like to create a new API token. + +### HTTP + +You can query your backend with GraphQL+- using the `/query` endpoint of your cluster. As an example, if your graphql endpoint is `https://frozen-mango-42.us-west-2.aws.cloud.dgraph.io/graphql`, then the admin endpoint for schema will be at `https://frozen-mango.us-west-2.aws.cloud.dgraph.io/query`. + +This endpoint works identically to to the [/query](https://dgraph.io/docs/query-language/) endpoint of Dgraph, with the additional constraint of requiring authentication, as described in the Authentication section above. + +You may also access the [`/mutate`](https://dgraph.io/docs/mutations/) and `/commit` endpoints. + +For the given GraphQL Schema: +```graphql +type Person { + name: String! @search(by: [fulltext]) + age: Int + country: String +} +``` + +Here is an example of a cURL for `/mutate` endpoint: +``` +curl -H "Content-Type: application/rdf" -H "x-auth-token: " -X POST "/mutate?commitNow=true" -d $' +{ + set { + _:x "John" . + _:x "30" . + _:x "US" . + } +}' +``` +Here is an example of a cURL for `/query` endpoint: +``` +curl -H "Content-Type: application/graphql+-" -H "x-auth-token: " -XPOST "/query" -d '{ + queryPerson(func: type(Person)) { + Person.name + Person.age + Person.country + } +}' +``` + +### gRPC + +The gRPC endpoint works identically to Dgraph's gRPC endpoint, with the additional constraint of requiring authentication on every gRPC call. The Slash API token must be passed in the "Authorization" metadata to every gRPC call. This may be achieved by using [Metadata Call Credentials](https://godoc.org/google.golang.org/grpc/credentials#PerRPCCredentials) or the equivalent in your language. + +For example, if your GraphQL Endpoint is `https://frozen-mango-42.eu-central-1.aws.cloud.dgraph.io/graphql`, your gRPC endpoint will be `frozen-mango-42.grpc.eu-central-1.aws.cloud.dgraph.io:443`. + +Here is an example which uses the [pydgraph client](https://github.com/dgraph-io/pydgraph) to make gRPC requests. + +For initial setup, make sure you import the right packages and setup your `HOST` and `PORT` correctly. + +```python +import grpc +import sys +import json +from operator import itemgetter + +import pydgraph + + +GRPC_HOST = "frozen-mango-42.grpc.eu-central-1.aws.cloud.dgraph.io" +GRPC_PORT = "443" +``` + +You will then need to pass your API key as follows: +```python +creds = grpc.ssl_channel_credentials() +call_credentials = grpc.metadata_call_credentials(lambda context, callback: callback((("Authorization", ""),), None)) +composite_credentials = grpc.composite_channel_credentials(creds, call_credentials) +client_stub = pydgraph.DgraphClientStub('{host}:{port}'.format(host=GRPC_HOST, port=GRPC_PORT), composite_credentials) +client = pydgraph.DgraphClient(client_stub) +``` + +For mutations, you can use the following example: +```python +mut = { + "Person.name": "John Doe", + "Person.age": "32", + "Person.country": "US" +} + +txn = client.txn() +try: + res = txn.mutate(set_obj=mut) + print(ppl) +finally: + txn.discard() +``` + +And for a query you can use the following example: +```python +query = """ +{ + queryPerson(func: type(Person)) { + Person.name + Person.age + Person.country + } +}""" +txn = client.txn() +try: + res = txn.query(query) + ppl = json.loads(res.json) + print(ppl) +finally: + txn.discard() +``` + +## Limitations + +It should be possible to use most GRPC based libraries to access your Slash GraphQL backend. + +We will be adding support to ratel and dgraph-js-http soon. Please join our [community](https://discuss.dgraph.io) for [release announcements](https://discuss.dgraph.io/tags/c/user/slash/33/release). diff --git a/wiki/content/slash-graphql/introduction.md b/wiki/content/slash-graphql/introduction.md new file mode 100644 index 00000000000..85fbf8c0fe4 --- /dev/null +++ b/wiki/content/slash-graphql/introduction.md @@ -0,0 +1,22 @@ ++++ +title = "Introduction" +[menu.main] + parent = "slash-graphql" + weight = 1 ++++ + +

Slash GraphQL Provides /graphql Backend for Your App

+ +Please see the following topics: + +* The [QuickStart](../slash-quick-start) will help you get started with a Slash GraphQL Schema, starting with a multi tenant todo app +* [Administering your Backend](/slash-graphql/admin/overview) covers topics such as how to programatically set your schema, and import or export your data + * [Authentication](/slash-graphql/admin/authentication) will guide you in creating a API token. Since all admin APIs require an auth token, this is a good place to start. + * [Schema](/slash-graphql/admin/schema) describes how to programatically query and update your GraphQL schema. + * [Import and Exporting Data](/slash-graphql/admin/import-export) is a guide for exporting your data from a Slash GraphQL backend, and how to import it into another cluster + * [Dropping Data](/slash-graphql/admin/drop-data) will guide you through dropping all data from your Slash GraphQL backend. +* [Advanced Queries With GraphQL+-](../advanced-queries) speaks about how to interact with your database via the gRPC endpoint. + +You might also be interested in: +* [Dgraph GraphQL Schema Reference](/graphql/schema/schema-overview), which lists all the types and directives supported by Dgraph +* [Dgraph GraphQL API Reference](/graphql/api/api-overview), which serves as a guide to using your new `/graphql` endpoint diff --git a/wiki/content/slash-graphql/slash-quick-start.md b/wiki/content/slash-graphql/slash-quick-start.md new file mode 100644 index 00000000000..c671bad6049 --- /dev/null +++ b/wiki/content/slash-graphql/slash-quick-start.md @@ -0,0 +1,141 @@ ++++ +title = "Slash Quick Start" +[menu.main] + parent = "slash-graphql" + weight = 1 ++++ + +*These are draft docs for Slash GraphQL, which is currently in beta* + +Welcome to Slash GraphQL. By now, you should have created your first deployment, and are looking for a schema to test out. Don't worry, we've got you covered. + +This example is for todo app that can support multiple users. We just have two types: Tasks and Users. + +Here's a schema that works with Slash GraphQL: + +```graphql +type Task { + id: ID! + title: String! @search(by: [fulltext]) + completed: Boolean! @search + user: User! +} + +type User { + username: String! @id @search(by: [hash]) + name: String @search(by: [exact]) + tasks: [Task] @hasInverse(field: user) +} +``` + +Let's paste that into the schema tab of Slash GraphQL and hit submit. You now have a fully functional GraphQL API that allows you to create, query and modify records of these two types. + +No, really, that's all; nothing else to do; it's there, serving GraphQL --- let's go use it. + +## The Schema + +The schema itself was pretty simple. It was just a standard GraphQL schema, with a few directives (like `@search`), which are specific to Slash GraphQL. + +The task type has four fields: id, title, completed and the user. The title has the `@search` directive on it, which tells Slash Graphql that this field can be used in full text search queries. + +The User type uses the username field as an ID, and we will put the email address into that field. + +Let's go ahead and populate some data into this fresh database. + +## GraphQL Mutations + +If you head over to the API explorer tab, you should see the docs tab, which tells you the queries and mutations that your new database supports. Lets create a bunch of tasks, for a few of our users + +```graphql +mutation AddTasks { + addTask(input: [ + {title: "Create a database", completed: false, user: {username: "your-email@example.com"}}, + {title: "Write A Schema", completed: false, user: {username: "your-email@example.com"}}, + {title: "Put Data In", completed: false, user: {username: "your-email@example.com"}}, + {title: "Complete Tasks with UI", completed: false, user: {username: "your-email@example.com"}}, + {title: "Profit!", completed: false, user: {username: "your-email@example.com"}}, + + {title: "Walking", completed: false, user: {username: "frodo@dgraph.io"}}, + {title: "More Walking", completed: false, user: {username: "frodo@dgraph.io"}}, + {title: "Discard Jewelery", completed: false, user: {username: "frodo@dgraph.io"}}, + + {title: "Meet Dad", completed: false, user: {username: "skywalker@dgraph.io"}}, + {title: "Dismantle Empire", completed: false, user: {username: "skywalker@dgraph.io"}} + ]) { + numUids + task { + title + user { + username + } + } + } +} +``` + +Let's also query back the users and their tasks +```graphql +{ + queryUser { + username, + tasks { + title + } + } +} +``` + +You'll see that Slash figured out that users are unique by their username, and so you only see a single record for each user. + +## Auth + +Now that we have a schema working, let's update that schema to add some authorization. We'll update the schema so that users can only read their own tasks back. + +```graphql +type Task @auth( + query: { rule: """ + query($USER: String!) { + queryTask { + user(filter: { username: { eq: $USER } }) { + __typename + } + } + }"""}), { + id: ID! + title: String! @search(by: [fulltext]) + completed: Boolean! @search + user: User! +} + +type User { + username: String! @id @search(by: [hash]) + name: String @search(by: [exact]) + tasks: [Task] @hasInverse(field: user) +} + +# Dgraph.Authorization {"Header":"X-Auth-Token","Namespace":"https://dgraph.io/jwt/claims","Algo":"RS256","Audience":["Q1nC2kLsN6KQTX1UPdiBS6AhXRx9KwKl"],"VerificationKey":"-----BEGIN PUBLIC KEY-----\nMIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAp/qw/KXH23bpOuhXzsDp\ndo9bGNqjd/OkH2LkCT0PKFx5i/lmvFXdd04fhJD0Z0K3pUe7xHcRn1pIbZWlhwOR\n7siaCh9L729OQjnrxU/aPOKwsD19YmLWwTeVpE7vhDejhnRaJ7Pz8GImX/z/Xo50\nPFSYdX28Fb3kssfo+cMBz2+7h1prKeLZyDk30ItK9MMj9S5y+UKHDwfLV/ZHSd8m\nVVEYRXUNNzLsxD2XaEC5ym2gCjEP1QTgago0iw3Bm2rNAMBePgo4OMgYjH9wOOuS\nVnyvHhZdwiZAd1XtJSehORzpErgDuV2ym3mw1G9mrDXDzX9vr5l5CuBc3BjnvcFC\nFwIDAQAB\n-----END PUBLIC KEY-----"} +``` + +Slash GraphQL allows you to pass JWT with custom claims as a header, and will apply rules to control who can query or modify the data in your database. The `@auth` directive controls how these rules are applied, as filters that are generated from the JWT token. + +In our schema, we specify that one can only query tasks if the tasks's user has a username that matches `$USER`, a field in the JWT token. + +The Authorization magic comment specifies the header the JWT comes from, the domain, and the key that's signed it. In this example, the key is tied to our dev Auth0 account. + +More information on how this works in [the documentation](/graphql/authorization/authorization-overview). + +Let's try querying back the tasks. We should be getting empty results here, since you no longer have access. + +```graphql +{ + queryTask { + title + } +} +``` + +## Testing it out with a Simple UI + +We've built a todo app with react that you can use to close these todos off. Let's head over to our sample react app, deployed at [https://relaxed-brahmagupta-f8020f.netlify.app/](https://relaxed-brahmagupta-f8020f.netlify.app/). + +You can try creating an account with your email, or logging in with frodo / skywalker. Like the first death star, Luke wasn't big on security, his password is `password`. 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