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https://issues.apache.org/jira/browse/SPARK-34593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17293575#comment-17293575
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Apache Spark commented on SPARK-34593:
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User 'c21' has created a pull request for this issue:
https://github.com/apache/spark/pull/31708
> Preserve broadcast nested loop join output partitioning and ordering
> --------------------------------------------------------------------
>
> Key: SPARK-34593
> URL: https://issues.apache.org/jira/browse/SPARK-34593
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Cheng Su
> Priority: Minor
>
> `BroadcastNestedLoopJoinExec` does not preserve `outputPartitioning` and
> `outputOrdering` right now. But it can preserve the streamed side
> partitioning and ordering when possible. This can help avoid shuffle and sort
> in later stage, if there's join and aggregation in the query.
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