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Posted to issues@spark.apache.org by "Nicholas Chammas (JIRA)" <ji...@apache.org> on 2017/05/22 19:15:05 UTC

[jira] [Commented] (SPARK-9862) Join: Handling data skew

    [ https://issues.apache.org/jira/browse/SPARK-9862?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16020030#comment-16020030 ] 

Nicholas Chammas commented on SPARK-9862:
-----------------------------------------

Is this issue meant to be a SQL-equivalent of SPARK-4644 (as suggested by [~rxin] in the comments)?

> Join: Handling data skew
> ------------------------
>
>                 Key: SPARK-9862
>                 URL: https://issues.apache.org/jira/browse/SPARK-9862
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Yin Huai
>         Attachments: Handling skew data in join.pdf
>
>
> For a two way shuffle join, if one or multiple groups are skewed in one table (say left table) but having a relative small number of rows in another table (say right table), we can use broadcast join for these skewed groups and use shuffle join for other groups.



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