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https://issues.apache.org/jira/browse/MAPREDUCE-4867?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13527994#comment-13527994
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Vincent Behar commented on MAPREDUCE-4867:
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yes it is a duplicate of MAPREDUCE-2129 (sorry I didn't find it)
The fix has been applied to branch-1 and branch-1.1, but not branch-1.0.
Merging r1358233 (from branch-1) in branch-1.0 should be enough.
Thanks
> reduces tasks won't start in certain circumstances
> ---------------------------------------------------
>
> Key: MAPREDUCE-4867
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-4867
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: scheduler
> Affects Versions: 1.0.4
> Reporter: Vincent Behar
>
> Reduce tasks start are conditioned by the value of
> "mapred.reduce.slowstart.completed.maps". However, if the number of completed
> map tasks never reached the configured value (for example because
> "mapred.max.map.failures.percent" has been set to a high value, to permit a
> job to have a lot of failed tasks), then the reduce tasks won't start.
> The job is still running, all map tasks are finished (either successful or
> not), and all reduce tasks are still pending. The only thing one can do is to
> kill the job.
> There are 2 things that could be done :
> - document the relation between "mapred.max.map.failures.percent" and
> "mapred.reduce.slowstart.completed.maps" : we can say that the rule to follow
> if you want to be sure that your reduce tasks will start is :
> "mapred.reduce.slowstart.completed.maps * 100 < 100 -
> mapred.max.map.failures.percent"
> - fix JobInProgress.scheduleReduces() to return true if all map tasks are
> finished
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