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From "Arun C Murthy (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (YARN-284) YARN capacity scheduler doesn't spread MR tasks evenly on an underutilized cluster
Date Sat, 22 Dec 2012 00:43:14 GMT

     [ https://issues.apache.org/jira/browse/YARN-284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Arun C Murthy resolved YARN-284.
--------------------------------

    Resolution: Implemented

Is this even valid anymore? Closing this, please re-open if necessary.
                
> YARN capacity scheduler doesn't spread MR tasks evenly on an underutilized cluster
> ----------------------------------------------------------------------------------
>
>                 Key: YARN-284
>                 URL: https://issues.apache.org/jira/browse/YARN-284
>             Project: Hadoop YARN
>          Issue Type: Improvement
>          Components: scheduler
>    Affects Versions: 2.0.0-alpha
>            Reporter: Todd Lipcon
>
> The fair scheduler in MR1 has the behavior that, if a job is submitted to an under-utilized
cluster and the cluster has more open slots than tasks in the job, the tasks are spread evenly
throughout the cluster. This improves job latency since more spindles and NICs are utilized
to complete the job. In MR2 I see this issue causing significantly longer job runtimes when
there is excess capacity in the cluster -- especially on reducers which sometimmes end up
clumping together on a smaller set of nodes which then become disk/network constrained.

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