[jira] [Commented] (HIVE-15104) Hive on Spark generate more shuffle data than hive on mr

["Rui Li (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/HIVE-15104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16129871#comment-16129871 ] 

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

Hi [~xuefuz], with HIVE-17114 and HIVE-17321 the benchmark results become more stable and the improvement is a little higher. Here's the latest [100GB TPC-DS result|https://docs.google.com/spreadsheets/d/1ba-AbUpJOHNb0_5PZyWQHzrH4wfRljMxQP9vA9JACHg/edit?usp=sharing].
Would you mind share your benchmark tool so that I can look into the perf 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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