[vibebench] feat: implement GroupJoin optimization (Moerkotte & Neumann, VLDB 2011)#21015
Open
Dandandan wants to merge 5 commits intoapache:mainfrom
Open
[vibebench] feat: implement GroupJoin optimization (Moerkotte & Neumann, VLDB 2011)#21015Dandandan wants to merge 5 commits intoapache:mainfrom
Dandandan wants to merge 5 commits intoapache:mainfrom
Conversation
Fuses AggregateExec(Partial) on top of HashJoinExec into a single GroupJoinExec operator, avoiding materialization of the large intermediate join result when GROUP BY columns come from the left side and aggregate arguments come from the right side. GroupJoinExec builds a hash table on the right (build) side by collecting all right partitions, then for each left (probe) row looks up matches and accumulates them directly into GroupsAccumulators via the existing GroupValues machinery. The optimizer rule (`GroupJoinOptimization`) matches: - AggregateExec → HashJoinExec - AggregateExec → ProjectionExec → HashJoinExec Preconditions: INNER join only, no join filter, non-empty GROUP BY, no GROUPING SETS / DISTINCT / ORDER BY / per-agg FILTER, group-by refs left side, agg args ref right side. TPC-H Q12 now uses GroupJoinExec. All sqllogictest plan expectations updated accordingly. All query result tests pass. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Contributor
Author
|
run benchmarks |
|
🤖 Benchmark completed (GKE) | trigger Details
Resource Usagetpch — base (merge-base)
tpch — branch
|
|
🤖 Benchmark completed (GKE) | trigger Details
Resource Usagetpcds — base (merge-base)
tpcds — branch
|
|
🤖 Benchmark completed (GKE) | trigger Details
Resource Usageclickbench_partitioned — base (merge-base)
clickbench_partitioned — branch
|
Contributor
Author
|
run benchmarks |
|
🤖 Benchmark completed (GKE) | trigger Details
Resource Usagetpch — base (merge-base)
tpch — branch
|
|
🤖 Benchmark completed (GKE) | trigger Details
Resource Usagetpcds — base (merge-base)
tpcds — branch
|
|
🤖 Benchmark completed (GKE) | trigger Details
Resource Usageclickbench_partitioned — base (merge-base)
clickbench_partitioned — branch
|
This file contains hidden or 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
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.
Fuses AggregateExec(Partial) on top of HashJoinExec into a single GroupJoinExec operator, avoiding materialization of the large intermediate join result when GROUP BY columns come from the left side and aggregate arguments come from the right side.
GroupJoinExec builds a hash table on the right (build) side by collecting all right partitions, then for each left (probe) row looks up matches and accumulates them directly into GroupsAccumulators via the existing GroupValues machinery.
The optimizer rule (
GroupJoinOptimization) matches:Preconditions: INNER join only, no join filter, non-empty GROUP BY, no GROUPING SETS / DISTINCT / ORDER BY / per-agg FILTER, group-by refs left side, agg args ref right side.
TPC-H Q12 now uses GroupJoinExec. All sqllogictest plan expectations updated accordingly. All query result tests pass.
Which issue does this PR close?
Rationale for this change
What changes are included in this PR?
Are these changes tested?
Are there any user-facing changes?