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https://issues.apache.org/jira/browse/MAPREDUCE-68?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Harsh J resolved MAPREDUCE-68.
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Resolution: Not A Problem
Not a problem with current release schedulers.
> Hadoop reduce scheduler sometimes leaves machines idle
> ------------------------------------------------------
>
> Key: MAPREDUCE-68
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-68
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Reporter: Nathan Marz
>
> I have a MapReduce application with number of reducers equal to the number of
> machines in the cluster (and with speculative execution turned off). However,
> Hadoop schedules multiple reduces to run on single machines and leaves other
> machines idle. This causes contention and seriously slows down the job.
> Hadoop should employ the simple heuristic of utilizing as many machines as
> possible when scheduling reduces.
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