hadoop-mapreduce-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Arun C Murthy (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAPREDUCE-1030) Reduce tasks are getting starved in capacity scheduler
Date Wed, 23 Sep 2009 16:02:16 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-1030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12758746#action_12758746

Arun C Murthy commented on MAPREDUCE-1030:

bq. This happens when using capacity-scheduler with TTs in the cluster configured with more
number of map slots than reduce slots, for e.g. in 5:2 ratio.

This has more to do with the ratio of maps to reduces in the system and less to do with slot
ratios. If we had 500k maps (across all jobs) versus a few thousand reduces (across all jobs)
this behaviour would be prevalent too.

> Reduce tasks are getting starved in capacity scheduler
> ------------------------------------------------------
>                 Key: MAPREDUCE-1030
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-1030
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: contrib/capacity-sched
>    Affects Versions: 0.21.0
>            Reporter: rahul k singh
>            Assignee: rahul k singh
>            Priority: Blocker
>             Fix For: 0.21.0
> reduce tasks are getting starved in capacity scheduler. 

This message is automatically generated by JIRA.
You can reply to this email to add a comment to the issue online.

View raw message