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https://issues.apache.org/jira/browse/HIVE-15104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16133290#comment-16133290
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Xuefu Zhang commented on HIVE-15104:
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[~lirui], I found it difficulty to backport HIVE-17114 to our code base, so I
had to give up. However, since you have a configuration to turn this on/off, I
think it's find to have this and postpone the verification on my side later
until we upgrade our Hive.
I need some time to review your latest patch as it's different from the
previous has some low-level class/jar manipulations.
> 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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