[jira] [Commented] (SPARK-34980) Support coalesce partition through union

["Apache Spark (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-34980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17316833#comment-17316833 ] 

Apache Spark commented on SPARK-34980:
--------------------------------------

User 'ulysses-you' has created a pull request for this issue:
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: Improvement
>          Components: SQL
>    Affects Versions: 3.2.0
>            Reporter: ulysses you
>            Priority: Minor
>
> 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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