You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@hive.apache.org by "Laljo John Pullokkaran (JIRA)" <ji...@apache.org> on 2013/08/19 20:40:47 UTC
[jira] [Created] (HIVE-5119) MapJoin & Partition Pruning (MapJoin
can take advantage of materialized data to prune partitions of big table)
Laljo John Pullokkaran created HIVE-5119:
--------------------------------------------
Summary: MapJoin & Partition Pruning (MapJoin can take advantage of materialized data to prune partitions of big table)
Key: HIVE-5119
URL: https://issues.apache.org/jira/browse/HIVE-5119
Project: Hive
Issue Type: Improvement
Components: Query Processor
Affects Versions: 0.11.0
Reporter: Laljo John Pullokkaran
Assignee: Laljo John Pullokkaran
Map-Join predicates where the joining columns from big table (streamed table) are partition columns and corresponding columns from small table is not partitioned, the join would not prune the unnecessary partitions from big table. Since data for all small tables is materialized before big table is streamed, theoretically it would be possible to prune the unnecessary partitions from big table.
--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators
For more information on JIRA, see: http://www.atlassian.com/software/jira