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From "Rajesh Balamohan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-21439) Provide an option to reduce lookup overhead for bucketed tables
Date Wed, 13 Mar 2019 23:00:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-21439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16792172#comment-16792172
] 

Rajesh Balamohan commented on HIVE-21439:
-----------------------------------------

Thanks [~gopalv]. Will check if spark can handle unpopulated buckets as well.

> Provide an option to reduce lookup overhead for bucketed tables
> ---------------------------------------------------------------
>
>                 Key: HIVE-21439
>                 URL: https://issues.apache.org/jira/browse/HIVE-21439
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Rajesh Balamohan
>            Priority: Trivial
>
> If a table is bucketed, `OpTraitsRulesProcFactory::TableScanRule` ends up verifying if
the partitions have got the same number of files as the number of buckets in table. https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/optimizer/metainfo/annotation/OpTraitsRulesProcFactory.java#L185
> In large tables, this turns out to be very time consuming (100s of seconds) operation.
It would be good to have an option to by pass this depending on need basis.



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