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https://issues.apache.org/jira/browse/SPARK-51203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-51203:
-----------------------------------
Labels: pull-request-available (was: )
> ForceOptimizeSkewedJoin does not take effect for child aggregations in skewed
> join
> ----------------------------------------------------------------------------------
>
> Key: SPARK-51203
> URL: https://issues.apache.org/jira/browse/SPARK-51203
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 4.0.0
> Reporter: Zhen Wang
> Priority: Major
> Labels: pull-request-available
>
> ForceOptimizeSkewedJoin allows optimizing skewed join even if
> introduce extra shuffle, but currently it only works for aggregation after
> join, not for aggregations in children of join. Like:
> {code:java}
> HashAggregate
> |
> Exchange
> |
> HashAggregate Exchange (skewed side)
> | |
> Sort Sort
> \ /
> SortMergeJoin(isSkewJoin = true) {code}
> When we enable ForceOptimizeSkewedJoin, can we introduce extra shuffle for
> join child so as to optimize skewed join? Like:
> {code:java}
> HashAggregate
> |
> Exchange
> |
> HashAggregate
> |
> Exchange
> (froce extra shuffle) Exchange (skewed side)
> | |
> Sort Sort
> \ /
> SortMergeJoin(isSkewJoin = true) {code}
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