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