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From "stack (JIRA)" <j...@apache.org>
Subject [jira] Updated: (HBASE-987) We need a Hbase Partitioner for TableMapReduceUtil.initTableReduceJob MR Jobs
Date Tue, 11 Nov 2008 06:24:44 GMT

     [ https://issues.apache.org/jira/browse/HBASE-987?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

stack updated HBASE-987:
------------------------

    Resolution: Fixed
        Status: Resolved  (was: Patch Available)

Committed.  Thanks for the patch Billy.  I added a note to the mapred package documentation
that makes mention of the new partitioner.

> We need a Hbase Partitioner for TableMapReduceUtil.initTableReduceJob MR Jobs
> -----------------------------------------------------------------------------
>
>                 Key: HBASE-987
>                 URL: https://issues.apache.org/jira/browse/HBASE-987
>             Project: Hadoop HBase
>          Issue Type: Improvement
>          Components: mapred
>            Reporter: Billy Pearson
>            Assignee: Billy Pearson
>            Priority: Minor
>             Fix For: 0.19.0
>
>         Attachments: 987-2.patch.txt, 987-3.patch.txt, 987.patch.txt
>
>
> When we run say 20 reducers they all get ~1/20th of the data to output to the table.
> The problem for us on large import jobs is the data gets sorted by key and the all Reducers

> pound one region at a time.
> we need to add onto the TableMapReduceUtil.initTableReduceJob method so it can set the
partitioner 
> and set the number of reducers = number of regions as the table map does for maps.
> Then the Partitioner will send all the BatchUpdates for one region to one reducer.
> So we get a more even spread of writers to the regions this would assure that only one
reducer will send 
> updates to one region keeping any one region from getting more overloaded the others.

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