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https://issues.apache.org/jira/browse/SPARK-34980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-34980.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 32084
[https://github.com/apache/spark/pull/32084]
> Support coalesce partition through union
> ----------------------------------------
>
> Key: SPARK-34980
> URL: https://issues.apache.org/jira/browse/SPARK-34980
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: XiDuo You
> Priority: Minor
> Fix For: 3.3.0
>
>
> The rule `CoalesceShufflePartitions` can only coalesce paritition if
> * leaf node is ShuffleQueryStage
> * all shuffle have same partition number
> With `Union`, it might break the assumption. Let's say we have such plan
> {code:java}
> Union
> HashAggregate
> ShuffleQueryStage
> FileScan
> {code}
> `CoalesceShufflePartitions` can not optimize it and the result partition
> would be `shuffle partition + FileScan partition` which can be quite lagre.
> It's better to support partial optimize with `Union`.
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