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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/09/29 11:44:22 UTC

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

     [ https://issues.apache.org/jira/browse/SPARK-9862?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-9862:
-----------------------------------

    Assignee:     (was: Apache Spark)

> 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
>
> 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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