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Posted to issues@spark.apache.org by "ulysses you (Jira)" <ji...@apache.org> on 2021/04/07 09:54:00 UTC

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

ulysses you created SPARK-34980:
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             Summary: 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


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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