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From "Todd Lipcon (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-3278) 0.20: avoid a busy-loop in ReduceTask scheduling
Date Thu, 27 Oct 2011 04:45:33 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-3278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13136769#comment-13136769

Todd Lipcon commented on MAPREDUCE-3278:

AFAIK this only applies to the 0.20 code. The Shuffle was substantially rewritten for 0.21
by MAPREDUCE-318, which also did a big refactor. This JIRA is for a more targeted bug fix
on the stable branch.
> 0.20: avoid a busy-loop in ReduceTask scheduling
> ------------------------------------------------
>                 Key: MAPREDUCE-3278
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-3278
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: mrv1, performance, task
>    Affects Versions:
>            Reporter: Todd Lipcon
>            Assignee: Todd Lipcon
> Looking at profiling results, it became clear that the ReduceTask has the following busy-loop
which was causing it to suck up 100% of CPU in the fetch phase in some configurations:
> - the number of reduce fetcher threads is configured to more than the number of hosts
> - therefore "busyEnough()" never returns true
> - the "scheduling" portion of the code can't schedule any new fetches, since all of the
pending fetches in the mapLocations buffer correspond to hosts that are already being fetched
(the hosts are in the {{uniqueHosts}} map)
> - {{getCopyResult()}} immediately returns null, since there are no completed maps.
> Hence ReduceTask spins back and forth between trying to schedule things (and failing),
and trying to grab completed results (of which there are none), with no waits.

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