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From "Namit Jain (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HIVE-1307) More generic and efficient merge method
Date Wed, 25 Aug 2010 16:34:18 GMT

    [ https://issues.apache.org/jira/browse/HIVE-1307?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12902504#action_12902504

Namit Jain commented on HIVE-1307:

Committed in 0.6 - Thanks Ning

> More generic and efficient merge method
> ---------------------------------------
>                 Key: HIVE-1307
>                 URL: https://issues.apache.org/jira/browse/HIVE-1307
>             Project: Hadoop Hive
>          Issue Type: New Feature
>    Affects Versions: 0.6.0
>            Reporter: Ning Zhang
>            Assignee: Ning Zhang
>             Fix For: 0.7.0
>         Attachments: HIVE-1307.0.patch, HIVE-1307.2.patch, HIVE-1307.3.patch, HIVE-1307.3_java.patch,
HIVE-1307.4.patch, HIVE-1307.5.patch, HIVE-1307.6.patch, HIVE-1307.7.patch, HIVE-1307.8.patch,
HIVE-1307.9.patch, HIVE-1307.patch, HIVE-1307_2_branch_0.6.patch, HIVE-1307_branch_0.6.patch,
> Currently if hive.merge.mapfiles/mapredfiles=true, a new mapreduce job is create to read
the input files and output to one reducer for merging. This MR job is created at compile time
and one MR job for one partition. In the case of dynamic partition case, multiple partitions
could be created at execution time and generating merging MR job at compile time is impossible.

> We should generalize the merge framework to allow multiple partitions and most of the
time a map-only job should be sufficient if we use CombineHiveInputFormat. 

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