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Posted to issues@hive.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/12/03 11:14:00 UTC

[jira] [Work logged] (HIVE-25448) Invalid partition columns when skew with distinct

     [ https://issues.apache.org/jira/browse/HIVE-25448?focusedWorklogId=689917&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-689917 ]

ASF GitHub Bot logged work on HIVE-25448:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 03/Dec/21 11:13
            Start Date: 03/Dec/21 11:13
    Worklog Time Spent: 10m 
      Work Description: dengzhhu653 commented on pull request #2585:
URL: https://github.com/apache/hive/pull/2585#issuecomment-985433461


   > > @dengzhhu653 do you happen to have a testcase for this?
   > 
   > Not yet, I have tested on our environment for the skew table, shows that it can get pretty performance gain(mr).
   
   Hi @kgyrtkirk, what do you think about this? there are also some tests like [groupby11.q](https://github.com/apache/hive/blob/7b3ecf617a6d46f48a3b6f77e0339fd4ad95a420/ql/src/test/queries/clientpositive/groupby11.q) and [groupby8_map_skew.q](https://github.com/apache/hive/blob/7b3ecf617a6d46f48a3b6f77e0339fd4ad95a420/ql/src/test/queries/clientpositive/groupby8_map_skew.q) showing the changes in partition columns after applying the fix. Thank you!


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Issue Time Tracking
-------------------

    Worklog Id:     (was: 689917)
    Time Spent: 1h 20m  (was: 1h 10m)

> Invalid partition columns when skew with distinct
> -------------------------------------------------
>
>                 Key: HIVE-25448
>                 URL: https://issues.apache.org/jira/browse/HIVE-25448
>             Project: Hive
>          Issue Type: Bug
>          Components: Logical Optimizer
>            Reporter: Zhihua Deng
>            Assignee: Zhihua Deng
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 1h 20m
>  Remaining Estimate: 0h
>
> When hive.groupby.skewindata is enabled,  we spray by the grouping key and distinct key if distinct is present in the first reduce sink operator.



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