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Apache Spark commented on SPARK-34593: -------------------------------------- User 'cloud-fan' has created a pull request for this issue: https://github.com/apache/spark/pull/32132 > 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: Sub-task > Components: SQL > Affects Versions: 3.2.0 > Reporter: Cheng Su > Assignee: Cheng Su > Priority: Minor > Fix For: 3.2.0 > > > `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. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org