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From "Xuefu Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-9097) Support runtime skew join for more queries [Spark Branch]
Date Wed, 17 Dec 2014 03:21:13 GMT

     [ https://issues.apache.org/jira/browse/HIVE-9097?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xuefu Zhang updated HIVE-9097:
------------------------------
       Resolution: Fixed
    Fix Version/s: spark-branch
           Status: Resolved  (was: Patch Available)

Committed to Spark branch. Thanks, Rui.

> Support runtime skew join for more queries [Spark Branch]
> ---------------------------------------------------------
>
>                 Key: HIVE-9097
>                 URL: https://issues.apache.org/jira/browse/HIVE-9097
>             Project: Hive
>          Issue Type: Improvement
>          Components: Spark
>    Affects Versions: spark-branch
>            Reporter: Rui Li
>            Assignee: Rui Li
>             Fix For: spark-branch
>
>         Attachments: HIVE-9097.1-spark.patch
>
>
> After HIVE-8913, runtime skew join is enabled for spark. But currently the optimization
only supports the simplest case where join is the leaf ReduceWork in a work graph. This is
because the results from the original join and the conditional map join have to be unioned
to feed to downstream works, which can be a little tricky for spark.
> This JIRA is to research and find a way to relax the above restriction. A possible solution
is to break the original task into two tasks on the join work, and insert the conditional
task in between.



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