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https://issues.apache.org/jira/browse/SPARK-32830?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-32830:
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Affects Version/s: (was: 3.1.0)
3.2.0
> Optimize Skewed BroadcastNestedLoopJoin with AE
> -----------------------------------------------
>
> Key: SPARK-32830
> URL: https://issues.apache.org/jira/browse/SPARK-32830
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: angerszhu
> Priority: Major
>
> For BroadcastNestedLoopJoin, we will broadcast boradcast-side child to all
> executor and use stream side partition's data traversal broadcast-side data
> one-by-one.
> We have meet some case that stream side data skew and all success task wait
> for skewed partition to finish.
> We know that the execution time increases exponentially with the amount of
> partition's data.
> If skewd with 100x, skewed partition's data will execute 100x than
> non-skewed part.
> It is a bottleneck， with AE, we can avoid this by split skewed part's data
> to make it more balanced.
>
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