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From "Jason Lowe (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (YARN-201) CapacityScheduler can take a very long time to schedule containers if requests are off cluster
Date Wed, 07 Nov 2012 21:04:14 GMT

     [ https://issues.apache.org/jira/browse/YARN-201?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Jason Lowe updated YARN-201:
----------------------------

    Attachment: YARN-201.patch

Patch updated with a more verbose comment on why we're not resetting scheduling opportunities
when assigning non-local containers.
                
> CapacityScheduler can take a very long time to schedule containers if requests are off
cluster
> ----------------------------------------------------------------------------------------------
>
>                 Key: YARN-201
>                 URL: https://issues.apache.org/jira/browse/YARN-201
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: capacityscheduler
>    Affects Versions: 0.23.3, 2.0.1-alpha
>            Reporter: Jason Lowe
>            Assignee: Jason Lowe
>            Priority: Critical
>         Attachments: YARN-201.patch, YARN-201.patch
>
>
> When a user runs a job where one of the input files is a large file on another cluster,
the job can create many splits on nodes which are unreachable for computation from the current
cluster.  The off-switch delay logic in LeafQueue can cause the ResourceManager to allocate
containers for the job very slowly.  In one case the job was only getting one container every
23 seconds, and the queue had plenty of spare capacity.

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