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From "Rui Li (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-15104) Hive on Spark generate more shuffle data than hive on mr
Date Thu, 13 Jul 2017 08:42:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-15104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16085384#comment-16085384
] 

Rui Li commented on HIVE-15104:
-------------------------------

Hi [~xuefuz], I can't reproduce the perf degradation on my side. Some case runs slower with
the patch which I think is just variations. The overall perf (total time taken to run the
benchmark) is still slightly improved. I don't have physical nodes to run the benchmark so
it's done on VMs. It'd be great if you could rerun your benchmark, and we can take a closer
look at the degradation. Thanks.

> Hive on Spark generate more shuffle data than hive on mr
> --------------------------------------------------------
>
>                 Key: HIVE-15104
>                 URL: https://issues.apache.org/jira/browse/HIVE-15104
>             Project: Hive
>          Issue Type: Bug
>          Components: Spark
>    Affects Versions: 1.2.1
>            Reporter: wangwenli
>            Assignee: Rui Li
>         Attachments: HIVE-15104.1.patch, HIVE-15104.2.patch, HIVE-15104.3.patch, HIVE-15104.4.patch,
TPC-H 100G.xlsx
>
>
> the same sql,  running on spark  and mr engine, will generate different size of shuffle
data.
> i think it is because of hive on mr just serialize part of HiveKey, but hive on spark
which using kryo will serialize full of Hivekey object.  
> what is your opionion?



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