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https://issues.apache.org/jira/browse/HIVE-14919?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15933440#comment-15933440
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Sahil Takiar commented on HIVE-14919:
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[~lirui], [~Ferd] would it make sense to add HoS integration with Spark's
DataFrame / DataSets API? From the Spark docs it sounds like the DataFrame /
DataSets API could improve performance since the APIs require specifying column
types.
> Improve the performance of Hive on Spark 2.0.0
> ----------------------------------------------
>
> Key: HIVE-14919
> URL: https://issues.apache.org/jira/browse/HIVE-14919
> Project: Hive
> Issue Type: Improvement
> Reporter: Ferdinand Xu
> Assignee: Ferdinand Xu
>
> In HIVE-14029, we have updated Spark dependency to 2.0.0. We use Intel
> BigBench[1] to run benchmark with Spark 2.0 over 1 TB data set comparing with
> Spark 1.6. We can see performance improvments about 5.4% in general and 45%
> for the best case. However, some queries doesn't have significant performance
> improvements. This JIRA is the umbrella ticket addressing those performance
> issues.
> [1] https://github.com/intel-hadoop/Big-Data-Benchmark-for-Big-Bench
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