update be/CMakeLists.txt, change the way to set some variables #44
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
stdpain
added a commit
to stdpain/incubator-doris
that referenced
this pull request
Jul 5, 2021
* provide status return type
HappenLee
pushed a commit
to HappenLee/incubator-doris
that referenced
this pull request
Jul 15, 2021
* provide status return type
HappenLee
pushed a commit
to HappenLee/incubator-doris
that referenced
this pull request
Sep 7, 2021
* provide status return type
3 tasks
starocean999
pushed a commit
to starocean999/incubator-doris
that referenced
this pull request
Jul 26, 2023
yiguolei
added a commit
that referenced
this pull request
Oct 7, 2023
You can set the level of counters on the backend using ADD_COUNTER_WITH_LEVEL/ADD_TIMER_WITH_LEVEL. The profile can then merge counters with level 1.
set profile_level = 1;
such as
sql
select count(*) from customer join item on c_customer_sk = i_item_sk
profile
Simple profile
PLAN FRAGMENT 0
OUTPUT EXPRS:
count(*)
PARTITION: UNPARTITIONED
VRESULT SINK
MYSQL_PROTOCAL
7:VAGGREGATE (merge finalize)
| output: count(partial_count(*))[#44]
| group by:
| cardinality=1
| TotalTime: avg 725.608us, max 725.608us, min 725.608us
| RowsReturned: 1
|
6:VEXCHANGE
offset: 0
TotalTime: avg 52.411us, max 52.411us, min 52.411us
RowsReturned: 8
PLAN FRAGMENT 1
PARTITION: HASH_PARTITIONED: c_customer_sk
STREAM DATA SINK
EXCHANGE ID: 06
UNPARTITIONED
TotalTime: avg 106.263us, max 118.38us, min 81.403us
BlocksSent: 8
5:VAGGREGATE (update serialize)
| output: partial_count(*)[#43]
| group by:
| cardinality=1
| TotalTime: avg 679.296us, max 739.395us, min 554.904us
| BuildTime: avg 33.198us, max 48.387us, min 28.880us
| ExecTime: avg 27.633us, max 40.278us, min 24.537us
| RowsReturned: 8
|
4:VHASH JOIN
| join op: INNER JOIN(PARTITIONED)[]
| equal join conjunct: c_customer_sk = i_item_sk
| runtime filters: RF000[bloom] <- i_item_sk(18000/16384/1048576)
| cardinality=17,740
| vec output tuple id: 3
| vIntermediate tuple ids: 2
| hash output slot ids: 22
| RowsReturned: 18.0K (18000)
| ProbeRows: 18.0K (18000)
| ProbeTime: avg 862.308us, max 1.576ms, min 666.28us
| BuildRows: 18.0K (18000)
| BuildTime: avg 3.8ms, max 3.860ms, min 2.317ms
|
|----1:VEXCHANGE
| offset: 0
| TotalTime: avg 48.822us, max 67.459us, min 30.380us
| RowsReturned: 18.0K (18000)
|
3:VEXCHANGE
offset: 0
TotalTime: avg 33.162us, max 39.480us, min 28.854us
RowsReturned: 18.0K (18000)
PLAN FRAGMENT 2
PARTITION: HASH_PARTITIONED: c_customer_id
STREAM DATA SINK
EXCHANGE ID: 03
HASH_PARTITIONED: c_customer_sk
TotalTime: avg 753.954us, max 1.210ms, min 499.470us
BlocksSent: 64
2:VOlapScanNode
TABLE: default_cluster:tpcds.customer(customer), PREAGGREGATION: ON
runtime filters: RF000[bloom] -> c_customer_sk
partitions=1/1, tablets=12/12, tabletList=1550745,1550747,1550749 ...
cardinality=100000, avgRowSize=0.0, numNodes=1
pushAggOp=NONE
TotalTime: avg 18.417us, max 41.319us, min 10.189us
RowsReturned: 18.0K (18000)
---------
Co-authored-by: yiguolei <[email protected]>
vinlee19
pushed a commit
to vinlee19/doris
that referenced
this pull request
Oct 7, 2023
You can set the level of counters on the backend using ADD_COUNTER_WITH_LEVEL/ADD_TIMER_WITH_LEVEL. The profile can then merge counters with level 1.
set profile_level = 1;
such as
sql
select count(*) from customer join item on c_customer_sk = i_item_sk
profile
Simple profile
PLAN FRAGMENT 0
OUTPUT EXPRS:
count(*)
PARTITION: UNPARTITIONED
VRESULT SINK
MYSQL_PROTOCAL
7:VAGGREGATE (merge finalize)
| output: count(partial_count(*))[apache#44]
| group by:
| cardinality=1
| TotalTime: avg 725.608us, max 725.608us, min 725.608us
| RowsReturned: 1
|
6:VEXCHANGE
offset: 0
TotalTime: avg 52.411us, max 52.411us, min 52.411us
RowsReturned: 8
PLAN FRAGMENT 1
PARTITION: HASH_PARTITIONED: c_customer_sk
STREAM DATA SINK
EXCHANGE ID: 06
UNPARTITIONED
TotalTime: avg 106.263us, max 118.38us, min 81.403us
BlocksSent: 8
5:VAGGREGATE (update serialize)
| output: partial_count(*)[apache#43]
| group by:
| cardinality=1
| TotalTime: avg 679.296us, max 739.395us, min 554.904us
| BuildTime: avg 33.198us, max 48.387us, min 28.880us
| ExecTime: avg 27.633us, max 40.278us, min 24.537us
| RowsReturned: 8
|
4:VHASH JOIN
| join op: INNER JOIN(PARTITIONED)[]
| equal join conjunct: c_customer_sk = i_item_sk
| runtime filters: RF000[bloom] <- i_item_sk(18000/16384/1048576)
| cardinality=17,740
| vec output tuple id: 3
| vIntermediate tuple ids: 2
| hash output slot ids: 22
| RowsReturned: 18.0K (18000)
| ProbeRows: 18.0K (18000)
| ProbeTime: avg 862.308us, max 1.576ms, min 666.28us
| BuildRows: 18.0K (18000)
| BuildTime: avg 3.8ms, max 3.860ms, min 2.317ms
|
|----1:VEXCHANGE
| offset: 0
| TotalTime: avg 48.822us, max 67.459us, min 30.380us
| RowsReturned: 18.0K (18000)
|
3:VEXCHANGE
offset: 0
TotalTime: avg 33.162us, max 39.480us, min 28.854us
RowsReturned: 18.0K (18000)
PLAN FRAGMENT 2
PARTITION: HASH_PARTITIONED: c_customer_id
STREAM DATA SINK
EXCHANGE ID: 03
HASH_PARTITIONED: c_customer_sk
TotalTime: avg 753.954us, max 1.210ms, min 499.470us
BlocksSent: 64
2:VOlapScanNode
TABLE: default_cluster:tpcds.customer(customer), PREAGGREGATION: ON
runtime filters: RF000[bloom] -> c_customer_sk
partitions=1/1, tablets=12/12, tabletList=1550745,1550747,1550749 ...
cardinality=100000, avgRowSize=0.0, numNodes=1
pushAggOp=NONE
TotalTime: avg 18.417us, max 41.319us, min 10.189us
RowsReturned: 18.0K (18000)
---------
Co-authored-by: yiguolei <[email protected]>
3 tasks
morrySnow
pushed a commit
that referenced
this pull request
Apr 21, 2024
…is not enough to provide all the data for the query (#33800) When the materialized view is not enough to provide all the data for the query, if the materialized view is increment update by partition. we can union materialized view and origin query to reponse the query. this depends on #33362 such as materialized view def is as following: > CREATE MATERIALIZED VIEW mv_10086 > BUILD IMMEDIATE REFRESH AUTO ON MANUAL > partition by(l_shipdate) > DISTRIBUTED BY RANDOM BUCKETS 2 > PROPERTIES ('replication_num' = '1') > AS > select l_shipdate, o_orderdate, l_partkey, l_suppkey, sum(o_totalprice) as sum_total > from lineitem > left join orders on lineitem.l_orderkey = orders.o_orderkey and l_shipdate = o_orderdate > group by > l_shipdate, > o_orderdate, > l_partkey, > l_suppkey; the materialized view data is as following: +------------+-------------+-----------+-----------+-----------+ | l_shipdate | o_orderdate | l_partkey | l_suppkey | sum_total | +------------+-------------+-----------+-----------+-----------+ | 2023-10-18 | 2023-10-18 | 2 | 3 | 109.20 | | 2023-10-17 | 2023-10-17 | 2 | 3 | 99.50 | | 2023-10-19 | 2023-10-19 | 2 | 3 | 99.50 | +------------+-------------+-----------+-----------+-----------+ when we insert data to partition `2023-10-17`, if we run query as following ``` select l_shipdate, o_orderdate, l_partkey, l_suppkey, sum(o_totalprice) as sum_total from lineitem left join orders on lineitem.l_orderkey = orders.o_orderkey and l_shipdate = o_orderdate group by l_shipdate, o_orderdate, l_partkey, l_suppkey; ``` query rewrite by materialzied view will fail with message `Check partition query used validation fail` if we turn on the switch `SET enable_materialized_view_union_rewrite = true;` default true we run the query above again, it will success and will use union all materialized view and origin query to response the query correctly. the plan is as following: ``` | Explain String(Nereids Planner) | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | PLAN FRAGMENT 0 | | OUTPUT EXPRS: | | l_shipdate[#52] | | o_orderdate[#53] | | l_partkey[#54] | | l_suppkey[#55] | | sum_total[#56] | | PARTITION: UNPARTITIONED | | | | HAS_COLO_PLAN_NODE: false | | | | VRESULT SINK | | MYSQL_PROTOCAL | | | | 11:VEXCHANGE | | offset: 0 | | distribute expr lists: | | | | PLAN FRAGMENT 1 | | | | PARTITION: HASH_PARTITIONED: l_shipdate[#42], o_orderdate[#43], l_partkey[#44], l_suppkey[#45] | | | | HAS_COLO_PLAN_NODE: false | | | | STREAM DATA SINK | | EXCHANGE ID: 11 | | UNPARTITIONED | | | | 10:VUNION(756) | | | | | |----9:VAGGREGATE (merge finalize)(753) | | | | output: sum(partial_sum(o_totalprice)[#46])[#51] | | | | group by: l_shipdate[#42], o_orderdate[#43], l_partkey[#44], l_suppkey[#45] | | | | cardinality=2 | | | | distribute expr lists: l_shipdate[#42], o_orderdate[#43], l_partkey[#44], l_suppkey[#45] | | | | | | | 8:VEXCHANGE | | | offset: 0 | | | distribute expr lists: l_shipdate[#42] | | | | | 1:VEXCHANGE | | offset: 0 | | distribute expr lists: | | | | PLAN FRAGMENT 2 | | | | PARTITION: HASH_PARTITIONED: o_orderkey[#21], o_orderdate[#25] | | | | HAS_COLO_PLAN_NODE: false | | | | STREAM DATA SINK | | EXCHANGE ID: 08 | | HASH_PARTITIONED: l_shipdate[#42], o_orderdate[#43], l_partkey[#44], l_suppkey[#45] | | | | 7:VAGGREGATE (update serialize)(747) | | | STREAMING | | | output: partial_sum(o_totalprice[#41])[#46] | | | group by: l_shipdate[#37], o_orderdate[#38], l_partkey[#39], l_suppkey[#40] | | | cardinality=2 | | | distribute expr lists: l_shipdate[#37] | | | | | 6:VHASH JOIN(741) | | | join op: RIGHT OUTER JOIN(PARTITIONED)[] | | | equal join conjunct: (o_orderkey[#21] = l_orderkey[#5]) | | | equal join conjunct: (o_orderdate[#25] = l_shipdate[#15]) | | | runtime filters: RF000[min_max] <- l_orderkey[#5](2/2/2048), RF001[bloom] <- l_orderkey[#5](2/2/2048), RF002[min_max] <- l_shipdate[#15](1/1/2048), RF003[bloom] <- l_shipdate[#15](1/1/2048) | | | cardinality=2 | | | vec output tuple id: 4 | | | output tuple id: 4 | | | vIntermediate tuple ids: 3 | | | hash output slot ids: 6 7 24 25 15 | | | final projections: l_shipdate[#36], o_orderdate[#32], l_partkey[#34], l_suppkey[#35], o_totalprice[#31] | | | final project output tuple id: 4 | | | distribute expr lists: o_orderkey[#21], o_orderdate[#25] | | | distribute expr lists: l_orderkey[#5], l_shipdate[#15] | | | | | |----3:VEXCHANGE | | | offset: 0 | | | distribute expr lists: l_orderkey[#5] | | | | | 5:VEXCHANGE | | offset: 0 | | distribute expr lists: | | | | PLAN FRAGMENT 3 | | | | PARTITION: RANDOM | | | | HAS_COLO_PLAN_NODE: false | | | | STREAM DATA SINK | | EXCHANGE ID: 05 | | HASH_PARTITIONED: o_orderkey[#21], o_orderdate[#25] | | | | 4:VOlapScanNode(722) | | TABLE: union_db.orders(orders), PREAGGREGATION: ON | | runtime filters: RF000[min_max] -> o_orderkey[#21], RF001[bloom] -> o_orderkey[#21], RF002[min_max] -> o_orderdate[#25], RF003[bloom] -> o_orderdate[#25] | | partitions=3/3 (p_20231017,p_20231018,p_20231019), tablets=9/9, tabletList=161188,161190,161192 ... | | cardinality=3, avgRowSize=0.0, numNodes=1 | | pushAggOp=NONE | | | | PLAN FRAGMENT 4 | | | | PARTITION: HASH_PARTITIONED: l_orderkey[#5] | | | | HAS_COLO_PLAN_NODE: false | | | | STREAM DATA SINK | | EXCHANGE ID: 03 | | HASH_PARTITIONED: l_orderkey[#5], l_shipdate[#15] | | | | 2:VOlapScanNode(729) | | TABLE: union_db.lineitem(lineitem), PREAGGREGATION: ON | | PREDICATES: (l_shipdate[#15] >= '2023-10-17') AND (l_shipdate[#15] < '2023-10-18') | | partitions=1/3 (p_20231017), tablets=3/3, tabletList=161223,161225,161227 | | cardinality=2, avgRowSize=0.0, numNodes=1 | | pushAggOp=NONE | | | | PLAN FRAGMENT 5 | | | | PARTITION: RANDOM | | | | HAS_COLO_PLAN_NODE: false | | | | STREAM DATA SINK | | EXCHANGE ID: 01 | | RANDOM | | | | 0:VOlapScanNode(718) | | TABLE: union_db.mv_10086(mv_10086), PREAGGREGATION: ON | | partitions=2/3 (p_20231018_20231019,p_20231019_20231020), tablets=4/4, tabletList=161251,161253,161265 ... | | cardinality=2, avgRowSize=0.0, numNodes=1 | | pushAggOp=NONE | | | | MaterializedView | | MaterializedViewRewriteSuccessAndChose: | | Names: mv_10086 | | MaterializedViewRewriteSuccessButNotChose: | | | | MaterializedViewRewriteFail: | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ ```
yiguolei
pushed a commit
that referenced
this pull request
Apr 21, 2024
…is not enough to provide all the data for the query (#33800) When the materialized view is not enough to provide all the data for the query, if the materialized view is increment update by partition. we can union materialized view and origin query to reponse the query. this depends on #33362 such as materialized view def is as following: > CREATE MATERIALIZED VIEW mv_10086 > BUILD IMMEDIATE REFRESH AUTO ON MANUAL > partition by(l_shipdate) > DISTRIBUTED BY RANDOM BUCKETS 2 > PROPERTIES ('replication_num' = '1') > AS > select l_shipdate, o_orderdate, l_partkey, l_suppkey, sum(o_totalprice) as sum_total > from lineitem > left join orders on lineitem.l_orderkey = orders.o_orderkey and l_shipdate = o_orderdate > group by > l_shipdate, > o_orderdate, > l_partkey, > l_suppkey; the materialized view data is as following: +------------+-------------+-----------+-----------+-----------+ | l_shipdate | o_orderdate | l_partkey | l_suppkey | sum_total | +------------+-------------+-----------+-----------+-----------+ | 2023-10-18 | 2023-10-18 | 2 | 3 | 109.20 | | 2023-10-17 | 2023-10-17 | 2 | 3 | 99.50 | | 2023-10-19 | 2023-10-19 | 2 | 3 | 99.50 | +------------+-------------+-----------+-----------+-----------+ when we insert data to partition `2023-10-17`, if we run query as following ``` select l_shipdate, o_orderdate, l_partkey, l_suppkey, sum(o_totalprice) as sum_total from lineitem left join orders on lineitem.l_orderkey = orders.o_orderkey and l_shipdate = o_orderdate group by l_shipdate, o_orderdate, l_partkey, l_suppkey; ``` query rewrite by materialzied view will fail with message `Check partition query used validation fail` if we turn on the switch `SET enable_materialized_view_union_rewrite = true;` default true we run the query above again, it will success and will use union all materialized view and origin query to response the query correctly. the plan is as following: ``` | Explain String(Nereids Planner) | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | PLAN FRAGMENT 0 | | OUTPUT EXPRS: | | l_shipdate[#52] | | o_orderdate[#53] | | l_partkey[#54] | | l_suppkey[#55] | | sum_total[#56] | | PARTITION: UNPARTITIONED | | | | HAS_COLO_PLAN_NODE: false | | | | VRESULT SINK | | MYSQL_PROTOCAL | | | | 11:VEXCHANGE | | offset: 0 | | distribute expr lists: | | | | PLAN FRAGMENT 1 | | | | PARTITION: HASH_PARTITIONED: l_shipdate[#42], o_orderdate[#43], l_partkey[#44], l_suppkey[#45] | | | | HAS_COLO_PLAN_NODE: false | | | | STREAM DATA SINK | | EXCHANGE ID: 11 | | UNPARTITIONED | | | | 10:VUNION(756) | | | | | |----9:VAGGREGATE (merge finalize)(753) | | | | output: sum(partial_sum(o_totalprice)[#46])[#51] | | | | group by: l_shipdate[#42], o_orderdate[#43], l_partkey[#44], l_suppkey[#45] | | | | cardinality=2 | | | | distribute expr lists: l_shipdate[#42], o_orderdate[#43], l_partkey[#44], l_suppkey[#45] | | | | | | | 8:VEXCHANGE | | | offset: 0 | | | distribute expr lists: l_shipdate[#42] | | | | | 1:VEXCHANGE | | offset: 0 | | distribute expr lists: | | | | PLAN FRAGMENT 2 | | | | PARTITION: HASH_PARTITIONED: o_orderkey[#21], o_orderdate[#25] | | | | HAS_COLO_PLAN_NODE: false | | | | STREAM DATA SINK | | EXCHANGE ID: 08 | | HASH_PARTITIONED: l_shipdate[#42], o_orderdate[#43], l_partkey[#44], l_suppkey[#45] | | | | 7:VAGGREGATE (update serialize)(747) | | | STREAMING | | | output: partial_sum(o_totalprice[#41])[#46] | | | group by: l_shipdate[#37], o_orderdate[#38], l_partkey[#39], l_suppkey[#40] | | | cardinality=2 | | | distribute expr lists: l_shipdate[#37] | | | | | 6:VHASH JOIN(741) | | | join op: RIGHT OUTER JOIN(PARTITIONED)[] | | | equal join conjunct: (o_orderkey[#21] = l_orderkey[#5]) | | | equal join conjunct: (o_orderdate[#25] = l_shipdate[#15]) | | | runtime filters: RF000[min_max] <- l_orderkey[#5](2/2/2048), RF001[bloom] <- l_orderkey[#5](2/2/2048), RF002[min_max] <- l_shipdate[#15](1/1/2048), RF003[bloom] <- l_shipdate[#15](1/1/2048) | | | cardinality=2 | | | vec output tuple id: 4 | | | output tuple id: 4 | | | vIntermediate tuple ids: 3 | | | hash output slot ids: 6 7 24 25 15 | | | final projections: l_shipdate[#36], o_orderdate[#32], l_partkey[#34], l_suppkey[#35], o_totalprice[#31] | | | final project output tuple id: 4 | | | distribute expr lists: o_orderkey[#21], o_orderdate[#25] | | | distribute expr lists: l_orderkey[#5], l_shipdate[#15] | | | | | |----3:VEXCHANGE | | | offset: 0 | | | distribute expr lists: l_orderkey[#5] | | | | | 5:VEXCHANGE | | offset: 0 | | distribute expr lists: | | | | PLAN FRAGMENT 3 | | | | PARTITION: RANDOM | | | | HAS_COLO_PLAN_NODE: false | | | | STREAM DATA SINK | | EXCHANGE ID: 05 | | HASH_PARTITIONED: o_orderkey[#21], o_orderdate[#25] | | | | 4:VOlapScanNode(722) | | TABLE: union_db.orders(orders), PREAGGREGATION: ON | | runtime filters: RF000[min_max] -> o_orderkey[#21], RF001[bloom] -> o_orderkey[#21], RF002[min_max] -> o_orderdate[#25], RF003[bloom] -> o_orderdate[#25] | | partitions=3/3 (p_20231017,p_20231018,p_20231019), tablets=9/9, tabletList=161188,161190,161192 ... | | cardinality=3, avgRowSize=0.0, numNodes=1 | | pushAggOp=NONE | | | | PLAN FRAGMENT 4 | | | | PARTITION: HASH_PARTITIONED: l_orderkey[#5] | | | | HAS_COLO_PLAN_NODE: false | | | | STREAM DATA SINK | | EXCHANGE ID: 03 | | HASH_PARTITIONED: l_orderkey[#5], l_shipdate[#15] | | | | 2:VOlapScanNode(729) | | TABLE: union_db.lineitem(lineitem), PREAGGREGATION: ON | | PREDICATES: (l_shipdate[#15] >= '2023-10-17') AND (l_shipdate[#15] < '2023-10-18') | | partitions=1/3 (p_20231017), tablets=3/3, tabletList=161223,161225,161227 | | cardinality=2, avgRowSize=0.0, numNodes=1 | | pushAggOp=NONE | | | | PLAN FRAGMENT 5 | | | | PARTITION: RANDOM | | | | HAS_COLO_PLAN_NODE: false | | | | STREAM DATA SINK | | EXCHANGE ID: 01 | | RANDOM | | | | 0:VOlapScanNode(718) | | TABLE: union_db.mv_10086(mv_10086), PREAGGREGATION: ON | | partitions=2/3 (p_20231018_20231019,p_20231019_20231020), tablets=4/4, tabletList=161251,161253,161265 ... | | cardinality=2, avgRowSize=0.0, numNodes=1 | | pushAggOp=NONE | | | | MaterializedView | | MaterializedViewRewriteSuccessAndChose: | | Names: mv_10086 | | MaterializedViewRewriteSuccessButNotChose: | | | | MaterializedViewRewriteFail: | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ ```
3 tasks
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.