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https://issues.apache.org/jira/browse/HIVE-15104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15631053#comment-15631053
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Rui Li commented on HIVE-15104:
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We need to use HiveKey because it holds the proper hash code to be used for
partitioning. MR also uses HiveKey, but in OutputCollector, seems it only
serializes the BytesWritable part. [~wenli], is this what you mean?
I suspect we'll need help from Spark if we want to do something similar.
> 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: Aihua Xu
>
> 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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