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Posted to issues@hive.apache.org by "Rui Li (JIRA)" <ji...@apache.org> on 2016/05/10 05:54:12 UTC
[jira] [Updated] (HIVE-13293) Query occurs performance degradation
after enabling parallel order by for Hive on Spark
[ https://issues.apache.org/jira/browse/HIVE-13293?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Rui Li updated HIVE-13293:
--------------------------
Attachment: HIVE-13293.1.patch
Upload same patch to trigger tests again. Our benchmark results show that the patch can improve performance for certain queries in TPC-BB by over 30%.
One shortcoming of parallel order by is that we will end up with more files, which can bring some overhead. We should minimize such overhead, e.g. HIVE-13572.
Also pinging [~xuefuz] for review.
> Query occurs performance degradation after enabling parallel order by for Hive on Spark
> ---------------------------------------------------------------------------------------
>
> Key: HIVE-13293
> URL: https://issues.apache.org/jira/browse/HIVE-13293
> Project: Hive
> Issue Type: Bug
> Components: Spark
> Affects Versions: 2.0.0
> Reporter: Lifeng Wang
> Assignee: Rui Li
> Attachments: HIVE-13293.1.patch, HIVE-13293.1.patch
>
>
> I use TPCx-BB to do some performance test on Hive on Spark engine. And found query 10 has performance degradation when enabling parallel order by.
> It seems that sampling cost much time before running the real query.
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