You are viewing a plain text version of this content. The canonical link for it is here.
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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)