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https://issues.apache.org/jira/browse/HIVE-15104?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rui Li updated HIVE-15104:
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Attachment: TPC-H 100G.xlsx
Attaching TPC-H benchmark result. It shows the improvement is more obvious for
long queries when we need to shuffle a lot of data. And it's better to use with
groupBy shuffle disabled.
> 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, 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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