[
https://issues.apache.org/jira/browse/SPARK-33832?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17291221#comment-17291221
]
Apache Spark commented on SPARK-33832:
--------------------------------------
User 'ekoifman' has created a pull request for this issue:
https://github.com/apache/spark/pull/31653
> Add an option in AQE to mitigate skew even if it causes an new shuffle
> ----------------------------------------------------------------------
>
> Key: SPARK-33832
> URL: https://issues.apache.org/jira/browse/SPARK-33832
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Eugene Koifman
> Priority: Major
>
> Currently {{OptimizeSkewedJoin}} will not apply if skew mitigation causes a
> new shuffle.
> There are situations where it's better to mitigate skew even if it means a
> new shuffle is added, for example if the join outputs small amount of data.
> As a first step I propose adding a SQLConf option to enable this.
> I'll open a PR shortly to get feedback on the approach.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
