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opt: support locality optimized anti join #63044
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Wonderful @rytaft !
The release note make it sound as if locality_optimized_partitioned_index_scan
is not on by default. You think there's good reason for this?
Reviewable status: complete! 0 of 0 LGTMs obtained (waiting on @mgartner and @RaduBerinde)
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locality_optimized_partitioned_index_scan is on by default -- I'll take it out of the release note to avoid confusion. Thanks! |
This commit fixes a few omissions where locality optimized search was not included when it should have been. These omissions only have a small impact on the cost so they were not noticeable. Release note: None
This commit refactors some functions previously in xform/scan_funcs.go for GenerateLocalityOptimizedScan and moves them to xform/general_funcs.go so they can be used to generate locality optimized anti joins in a future commit. Release note: None
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Very nice!!
Reviewed 1 of 4 files at r1, 4 of 4 files at r2, 14 of 14 files at r3.
Reviewable status: complete! 1 of 0 LGTMs obtained (waiting on @mgartner and @rytaft)
pkg/sql/opt/exec/factory.opt, line 227 at r3 (raw file):
# If LocalityOptimized is true, we are performing a locality optimized search. # In order for this to work correctly, the execution engine must create a local # DistSQL plan for the main query (subqueries and postqueries need not be local).
A bit unclear to me why it has to be a local plan.. Lookup joins are planned on whatever nodes their input is. If the table we are reading from is in our region, it would be planned in our region anyway.
In any case, this can be part of a postquery so this is a bit confusing, maybe just say more generically that it needs to be part of a local plan.
Also [nit] this would be better as a comment on the field itself.
pkg/sql/opt/xform/join_funcs.go, line 1132 at r3 (raw file):
// rule to hold two sets of filters: one targeting local partitions and one // targeting remote partitions. type LocalAndRemoteLookupExprs struct {
We can't get @mgartner's multi-var syntax soon enough :)
pkg/sql/opt/xform/join_funcs.go, line 1289 at r3 (raw file):
continue } col, _ := props.OuterCols.Next(0)
[nit] you can use .SingleColumn()
pkg/sql/opt/xform/rules/join.opt, line 403 at r3 (raw file):
# one of the other regions, the first plan would be slightly faster. [GenerateLocalityOptimizedAntiJoin, Explore] (LookupJoin
This is a very clean rule, nicely done!
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TFTR! Updated.
Reviewable status: complete! 0 of 0 LGTMs obtained (and 1 stale) (waiting on @mgartner and @RaduBerinde)
pkg/sql/opt/exec/factory.opt, line 227 at r3 (raw file):
Previously, RaduBerinde wrote…
A bit unclear to me why it has to be a local plan.. Lookup joins are planned on whatever nodes their input is. If the table we are reading from is in our region, it would be planned in our region anyway.
In any case, this can be part of a postquery so this is a bit confusing, maybe just say more generically that it needs to be part of a local plan.
Also [nit] this would be better as a comment on the field itself.
Hmm I see what you're saying. I'm a bit torn since the optimization isn't useful if it's not planned in the local region, but if we have to fetch data from a remote region for a local scan that's also not ideal.... I guess it's better to minimize the number of changes needed on the execution side, so I've removed this.
pkg/sql/opt/xform/join_funcs.go, line 1132 at r3 (raw file):
Previously, RaduBerinde wrote…
We can't get @mgartner's multi-var syntax soon enough :)
+1!
pkg/sql/opt/xform/join_funcs.go, line 1289 at r3 (raw file):
Previously, RaduBerinde wrote…
[nit] you can use
.SingleColumn()
Done.
pkg/sql/opt/xform/rules/join.opt, line 403 at r3 (raw file):
Previously, RaduBerinde wrote…
This is a very clean rule, nicely done!
Thanks!
This commit adds a new transformation rule, GenerateLocalityOptimizedAntiJoin. GenerateLocalityOptimizedAntiJoin converts an anti join into a locality optimized anti join if possible. A locality optimized anti join is implemented as a nested pair of anti lookup joins and is designed to avoid communicating with remote nodes (relative to the gateway region) if at all possible. A locality optimized anti join can be planned under the following conditions: - The anti join can be planned as a lookup join. - The lookup join scans multiple spans in the lookup index for each input row, with some spans targeting partitions on local nodes (relative to the gateway region), and some targeting partitions on remote nodes. It is not known which span(s) will contain the matching row(s). The result of GenerateLocalityOptimizedAntiJoin will be a nested pair of anti lookup joins in which the first lookup join is an anti join targeting the local values from the original join, and the second lookup join is an anti join targeting the remote values. Because of the way anti join is defined, a row will only be returned by the first anti join if a match is *not* found locally. If a match is found, no row will be returned and therefore the second lookup join will not need to search the remote nodes. This nested pair of anti joins is logically equivalent to the original, single anti join. This is a useful optimization if there is locality of access in the workload, such that rows tend to be accessed from the region where they are located. If there is no locality of access, using a locality optimized anti join could be a slight pessimization, since rows residing in remote regions will be found slightly more slowly than they would be otherwise. For example, suppose we have a multi-region database with regions 'us-east1', 'us-west1' and 'europe-west1', and we have the following tables and query, issued from 'us-east1': CREATE TABLE parent ( p_id INT PRIMARY KEY ) LOCALITY REGIONAL BY ROW; CREATE TABLE child ( c_id INT PRIMARY KEY, c_p_id INT REFERENCES parent (p_id) ) LOCALITY REGIONAL BY ROW; SELECT * FROM child WHERE NOT EXISTS ( SELECT * FROM parent WHERE p_id = c_p_id ) AND c_id = 10; Normally, this would produce the following plan: anti-join (lookup parent) ├── lookup columns are key ├── lookup expr: (p_id = c_p_id) AND (crdb_region IN ('europe-west1', 'us-east1', 'us-west1')) ├── scan child │ └── constraint: /7/5 │ ├── [/'europe-west1'/10 - /'europe-west1'/10] │ ├── [/'us-east1'/10 - /'us-east1'/10] │ └── [/'us-west1'/10 - /'us-west1'/10] └── filters (true) but if the session setting locality_optimized_partitioned_index_scan is enabled, the optimizer will produce this plan, using locality optimized search, both for the scan of child and for the lookup join with parent. See the rule GenerateLocalityOptimizedScan for details about how the optimization is applied for scans. anti-join (lookup parent) ├── lookup columns are key ├── lookup expr: (p_id = c_p_id) AND (crdb_region IN ('europe-west1', 'us-west1')) ├── anti-join (lookup parent) │ ├── lookup columns are key │ ├── lookup expr: (p_id = c_p_id) AND (crdb_region = 'us-east1') │ ├── locality-optimized-search │ │ ├── scan child │ │ │ └── constraint: /13/11: [/'us-east1'/10 - /'us-east1'/10] │ │ └── scan child │ │ └── constraint: /18/16 │ │ ├── [/'europe-west1'/10 - /'europe-west1'/10] │ │ └── [/'us-west1'/10 - /'us-west1'/10] │ └── filters (true) └── filters (true) As long as child.c_id = 10 and the matching row in parent are both located in 'us-east1', the second plan will be much faster. But if they are located in one of the other regions, the first plan would be slightly faster. Informs cockroachdb#55185 Release note (performance improvement): The optimizer will now try to plan anti lookup joins using "locality optimized search". This optimization applies for anti lookup joins into REGIONAL BY ROW tables (i.e., the right side of the join is a REGIONAL BY ROW table), and if enabled, it means that the execution engine will first search locally for matching rows before searching remote nodes. If a matching row is found in a local node, remote nodes will not be searched. This optimization may improve the performance of foreign key checks when rows are inserted or updated in a table that references a foreign key in a REGIONAL BY ROW table.
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bors r+ |
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🎉 Very cool!
Reviewed 4 of 4 files at r1, 4 of 4 files at r2, 12 of 14 files at r3, 10 of 10 files at r4.
Reviewable status: complete! 0 of 0 LGTMs obtained (and 1 stale)
pkg/sql/opt/xform/join_funcs.go, line 1132 at r3 (raw file):
Previously, rytaft (Rebecca Taft) wrote…
+1!
👀 The catalyst for me starting that work was @rytaft's "watch me work" stream when she started working on LOS anti-joins :)
opt: fix a few omissions for locality optimized search
This commit fixes a few omissions where locality optimized search was
not included when it should have been. These omissions only have a small
impact on the cost so they were not noticeable.
opt: refactor and move some functions for locality optimized search
This commit refactors some functions previously in
xform/scan_funcs.go
for
GenerateLocalityOptimizedScan
and moves them toxform/general_funcs.go
so they can be used to generate locality optimized anti joins in a future
commit.
opt: support locality optimized anti join
Shout out to @RaduBerinde for this idea!
This commit adds a new transformation rule,
GenerateLocalityOptimizedAntiJoin
.GenerateLocalityOptimizedAntiJoin
converts an anti join into a localityoptimized anti join if possible. A locality optimized anti join is implemented
as a nested pair of anti lookup joins and is designed to avoid communicating
with remote nodes (relative to the gateway region) if at all possible.
A locality optimized anti join can be planned under the following conditions:
row, with some spans targeting partitions on local nodes (relative to the
gateway region), and some targeting partitions on remote nodes. It is not
known which span(s) will contain the matching row(s).
The result of
GenerateLocalityOptimizedAntiJoin
will be a nested pair of antilookup joins in which the first lookup join is an anti join targeting the
local values from the original join, and the second lookup join is an anti
join targeting the remote values. Because of the way anti join is defined, a
row will only be returned by the first anti join if a match is not found
locally. If a match is found, no row will be returned and therefore the second
lookup join will not need to search the remote nodes. This nested pair of anti
joins is logically equivalent to the original, single anti join.
This is a useful optimization if there is locality of access in the workload,
such that rows tend to be accessed from the region where they are located. If
there is no locality of access, using a locality optimized anti join could be
a slight pessimization, since rows residing in remote regions will be found
slightly more slowly than they would be otherwise.
For example, suppose we have a multi-region database with regions 'us-east1',
'us-west1' and 'europe-west1', and we have the following tables and query,
issued from 'us-east1':
Normally, this would produce the following plan:
but if the session setting
locality_optimized_partitioned_index_scan
is enabled,the optimizer will produce this plan, using locality optimized search, both for
the scan of
child
and for the lookup join withparent
. See the ruleGenerateLocalityOptimizedScan
for details about how the optimization is appliedfor scans.
As long as
child.c_id = 10
and the matching row inparent
are both located in'us-east1', the second plan will be much faster. But if they are located in
one of the other regions, the first plan would be slightly faster.
Informs #55185
Release note (performance improvement): The optimizer will now try
to plan anti lookup joins using "locality optimized search". This optimization
applies for anti lookup joins into
REGIONAL BY ROW
tables (i.e., the right sideof the join is a
REGIONAL BY ROW
table), and if enabled, it means that theexecution engine will first search locally for matching rows before searching
remote nodes. If a matching row is found in a local node, remote nodes will not
be searched. This optimization may improve the performance of foreign key
checks when rows are inserted or updated in a table that references a foreign
key in a
REGIONAL BY ROW
table.