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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