[ https://issues.apache.org/jira/browse/SPARK-34980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-34980. --------------------------------- Fix Version/s: 3.3.0 Resolution: Fixed Issue resolved by pull request 32084 [https://github.com/apache/spark/pull/32084] > Support coalesce partition through union > ---------------------------------------- > > Key: SPARK-34980 > URL: https://issues.apache.org/jira/browse/SPARK-34980 > Project: Spark > Issue Type: Sub-task > Components: SQL > Affects Versions: 3.2.0 > Reporter: XiDuo You > Priority: Minor > Fix For: 3.3.0 > > > 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`. -- 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