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https://issues.apache.org/jira/browse/SPARK-36747?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17419365#comment-17419365
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Apache Spark commented on SPARK-36747:
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User 'allisonwang-db' has created a pull request for this issue:
https://github.com/apache/spark/pull/34081
> Do not collapse Project with Aggregate when correlated subqueries are present
> in the project list
> -------------------------------------------------------------------------------------------------
>
> Key: SPARK-36747
> URL: https://issues.apache.org/jira/browse/SPARK-36747
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Allison Wang
> Priority: Major
>
> Currently CollapseProject combines Project with Aggregate when the shared
> attributes are deterministic. But if there are correlated scalar subqueries
> in the project list that uses the output of the aggregate, they cannot be
> combined. Otherwise, the plan after rewrite will not be valid:
> {code}
> select (select sum(c2) from t where c1 = cast(s as int)) from (select sum(c2)
> s from t)
> == Optimized Logical Plan ==
> Aggregate [sum(c2)#10L AS scalarsubquery(s)#11L]
> +- Project [sum(c2)#10L]
> +- Join LeftOuter, (c1#2 = cast(sum(c2#3) as int))
> :- LocalRelation [c2#3]
> +- Aggregate [c1#2], [sum(c2#3) AS sum(c2)#10L, c1#2]
> +- LocalRelation [c1#2, c2#3]
> java.lang.UnsupportedOperationException: Cannot generate code for expression:
> sum(input[0, int, false])
> {code}
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