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From "Hong Tang (JIRA)" <j...@apache.org>
Subject [jira] Created: (MAPREDUCE-2038) Making reduce tasks locality-aware
Date Fri, 27 Aug 2010 21:36:54 GMT
Making reduce tasks locality-aware
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                 Key: MAPREDUCE-2038
                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-2038
             Project: Hadoop Map/Reduce
          Issue Type: New Feature
            Reporter: Hong Tang


Currently Hadoop MapReduce framework does not take into consideration of data locality when
it decides to launch reduce tasks. There are several cases where it could become sub-optimal.
- The map output data for a particular reduce task are not distributed evenly across different
racks. This could happen when the job does not have many maps, or when there is heavy skew
in map output data.
- A reduce task may need to access some side file (e.g. Pig fragmented join, or incremental
merge of unsorted smaller dataset with an already sorted large dataset). It'd be useful to
place reduce tasks based on the location of the side files they need to access.

This jira is created for the purpose of soliciting ideas on how we can make it better.

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