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Posted to issues@hive.apache.org by "Lin Liu (JIRA)" <ji...@apache.org> on 2016/03/30 08:31:25 UTC
[jira] [Updated] (HIVE-13382) Dynamic partitioning for INSERT
OVERWRITE Query is slow
[ https://issues.apache.org/jira/browse/HIVE-13382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Lin Liu updated HIVE-13382:
---------------------------
Description:
Recently we upgraded Hive from 0.13.1 to Hive 1.2.1.
Then we found that one of our production queries that updates the data for a multi-level partitioned table using INSERT OVERWRITE becomes dramatically slower than in Hive0.13.1 version (e.g. from 2 hours to more than 14 hours and slower and slower).
Note that the MR jobs finished pretty quickly, but the move stage took a very long time.
Currently we are using Hive 1.2.1 and HIVE-11940 has been applied.
was:
In our case we execute a query to update the data for a multi-level partitioned table. The MR jobs are finished pretty quickly, but the move stage took a very long time.
Currently we are using Hive 1.2.1 and HIVE-11940 has been applied.
> Dynamic partitioning for INSERT OVERWRITE Query is slow
> -------------------------------------------------------
>
> Key: HIVE-13382
> URL: https://issues.apache.org/jira/browse/HIVE-13382
> Project: Hive
> Issue Type: Bug
> Components: Hive
> Reporter: Lin Liu
> Priority: Blocker
>
> Recently we upgraded Hive from 0.13.1 to Hive 1.2.1.
> Then we found that one of our production queries that updates the data for a multi-level partitioned table using INSERT OVERWRITE becomes dramatically slower than in Hive0.13.1 version (e.g. from 2 hours to more than 14 hours and slower and slower).
> Note that the MR jobs finished pretty quickly, but the move stage took a very long time.
> Currently we are using Hive 1.2.1 and HIVE-11940 has been applied.
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