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Posted to dev@hive.apache.org by "Laljo John Pullokkaran (JIRA)" <ji...@apache.org> on 2013/08/19 21:07:47 UTC

[jira] [Updated] (HIVE-5119) MapJoin & Partition Pruning (MapJoin can take advantage of materialized data to prune partitions of big table)

     [ https://issues.apache.org/jira/browse/HIVE-5119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Laljo John Pullokkaran updated HIVE-5119:
-----------------------------------------

    Description: 
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.

Proposal document is at https://cwiki.apache.org/confluence/x/sgkHAg

  was: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.

    
> 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.
> Proposal document is at https://cwiki.apache.org/confluence/x/sgkHAg

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