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From "Robert Chansler (JIRA)" <j...@apache.org>
Subject [jira] Updated: (HADOOP-3702) add support for chaining Maps in a single Map and after a Reduce [M*/RM*]
Date Tue, 21 Oct 2008 22:42:44 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-3702?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Robert Chansler updated HADOOP-3702:
------------------------------------

    Release Note: 
Introduced ChainMapper and the ChainReducer classes to allow composing chains of Maps and
Reduces in a single Map/Reduce job, something like MAP+ REDUCE MAP*.


  was:
The ChainMapper and the ChainReducer classes allow composing chains of Maps and Reduces in
a single Map/Reduce job, something like MAP+ / REDUCE MAP*. An immediate benefit of this pattern
is reduction in disk IO as many Maps can be club together in a single job.



> add support for chaining Maps in a single Map and after a Reduce [M*/RM*]
> -------------------------------------------------------------------------
>
>                 Key: HADOOP-3702
>                 URL: https://issues.apache.org/jira/browse/HADOOP-3702
>             Project: Hadoop Core
>          Issue Type: New Feature
>          Components: mapred
>         Environment: all
>            Reporter: Alejandro Abdelnur
>            Assignee: Alejandro Abdelnur
>             Fix For: 0.19.0
>
>         Attachments: Hadoop-3702.patch, patch3702.txt, patch3702.txt, patch3702.txt,
patch3702.txt, patch3702.txt, patch3702.txt, patch3702.txt, patch3702.txt, patch3702.txt,
patch3702.txt, patch3702.txt, patch3702.txt, patch3702.txt
>
>
> On the same input, we usually need to run multiple Maps one after the other without no
Reduce. We also have to run multiple Maps after the Reduce.
> If all pre-Reduce Maps are chained together and run as a single Map a significant amount
of Disk I/O will be avoided. 
> Similarly all post-Reduce Maps can be chained together and run in the Reduce phase after
the Reduce.

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