[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=16201405#comment-16201405 ] 

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

Hi [~xuefuz], sorry for taking so long to update. I tried out your proposal. The idea is to build the trivial package and add it with the {{--jars}} config when we launch the Spark app. So we need to locate the jar at runtime. To locate the jar, we can use reflection to get the class and call {{SparkContext.jarOfClass}} to get the URI. But since kryo is shaded, we don't have {{com.esotericsoftware.kryo.Kryo}} in our class path on Hive side. When I try to get the registrator class, I get a {{NoClassDefFoundError}} for {{com.esotericsoftware.kryo.Kryo}}.
I guess one workaround is to let user specify the path to the jar, but that seems not very friendly. Any suggestions?

> 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, HIVE-15104.5.patch, HIVE-15104.5.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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