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https://issues.apache.org/jira/browse/SPARK-35442?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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XiDuo You updated SPARK-35442:
------------------------------
Description:
The Aggregate in AQE is different with others, the `LogicalQueryStage` looks
like `LogicalQueryStage(Aggregate, BaseAggregate)`. We should handle this case
specially.
Logically, if the Aggregate grouping expression is not empty, we can eliminate
it safely.
was:
If Aggregate and Join have the same output partitioning, the plan will look
like:
{code:java}
SortMergeJoin
Sort
HashAggregate
Shuffle
Sort
xxx{code}
Currently `EliminateUnnecessaryJoin` doesn't support optimize this case.
Logically, if the Aggregate grouping expression is not empty, we can eliminate
it safely.
> Eliminate unnecessary join through Aggregate
> --------------------------------------------
>
> Key: SPARK-35442
> URL: https://issues.apache.org/jira/browse/SPARK-35442
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: XiDuo You
> Priority: Minor
>
> The Aggregate in AQE is different with others, the `LogicalQueryStage` looks
> like `LogicalQueryStage(Aggregate, BaseAggregate)`. We should handle this
> case specially.
> Logically, if the Aggregate grouping expression is not empty, we can
> eliminate it safely.
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