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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-201) CapacityScheduler can take a very long time to schedule containers if requests are off cluster
Date Wed, 07 Nov 2012 19:28:12 GMT

    [ https://issues.apache.org/jira/browse/YARN-201?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13492618#comment-13492618
] 

Hadoop QA commented on YARN-201:
--------------------------------

{color:green}+1 overall{color}.  Here are the results of testing the latest attachment 
  http://issues.apache.org/jira/secure/attachment/12552510/YARN-201.patch
  against trunk revision .

    {color:green}+1 @author{color}.  The patch does not contain any @author tags.

    {color:green}+1 tests included{color}.  The patch appears to include 1 new or modified
test files.

    {color:green}+1 javac{color}.  The applied patch does not increase the total number of
javac compiler warnings.

    {color:green}+1 javadoc{color}.  The javadoc tool did not generate any warning messages.

    {color:green}+1 eclipse:eclipse{color}.  The patch built with eclipse:eclipse.

    {color:green}+1 findbugs{color}.  The patch does not introduce any new Findbugs (version
1.3.9) warnings.

    {color:green}+1 release audit{color}.  The applied patch does not increase the total number
of release audit warnings.

    {color:green}+1 core tests{color}.  The patch passed unit tests in hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager.

    {color:green}+1 contrib tests{color}.  The patch passed contrib unit tests.

Test results: https://builds.apache.org/job/PreCommit-YARN-Build/140//testReport/
Console output: https://builds.apache.org/job/PreCommit-YARN-Build/140//console

This message is automatically generated.
                
> 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
>
>
> 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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