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From "Rui Li (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-15104) Hive on Spark generate more shuffle data than hive on mr
Date Mon, 15 May 2017 11:30:04 GMT

     [ https://issues.apache.org/jira/browse/HIVE-15104?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Rui Li updated HIVE-15104:
--------------------------
    Attachment: HIVE-15104.2.patch

The CNF is due to how kryo is loaded in {{KryoMessageCodec}}. W/ relocation, kryo is in package
{{org.apache.hive.com.esotericsoftware}}. So it's loaded from hive-exec.jar. Spark adds hive-exec.jar
at runtime with some URL class loader. W/o relocation, we're using same kryo as Spark. Kryo's
class loader is by default the one that loads it - therefore the AppClassLoader. However,
AppClassLoader cannot load classes from hive-exec.jar and thus the CNF.
To solve it, we can make {{KryoMessageCodec}} use the current context loader.

> 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
>
>
> 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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