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https://issues.apache.org/jira/browse/YARN-1090?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13787611#comment-13787611
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Hudson commented on YARN-1090:
------------------------------
FAILURE: Integrated in Hadoop-Mapreduce-trunk #1570 (See
[https://builds.apache.org/job/Hadoop-Mapreduce-trunk/1570/])
YARN-1090. Fixed CS UI to better reflect applications as non-schedulable and
not as pending. Contributed by Jian He. (acmurthy:
http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1529538)
* /hadoop/common/trunk/hadoop-yarn-project/CHANGES.txt
*
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/QueueMetrics.java
*
/hadoop/common/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/webapp/CapacitySchedulerPage.java
> Job does not get into Pending State
> -----------------------------------
>
> Key: YARN-1090
> URL: https://issues.apache.org/jira/browse/YARN-1090
> Project: Hadoop YARN
> Issue Type: Bug
> Reporter: Yesha Vora
> Assignee: Jian He
> Fix For: 2.1.2-beta
>
> Attachments: YARN-1090.1.patch, YARN-1090.2.patch, YARN-1090.3.patch,
> YARN-1090.patch
>
>
> When there is no resource available to run a job, next job should go in
> pending state. RM UI should show next job as pending app and the counter for
> the pending app should be incremented.
> But Currently. Next job stays in ACCEPTED state and No AM has been assigned
> to this job.Though Pending App count is not incremented.
> Running 'job status <nextjob>' shows job state=PREP.
> $ mapred job -status job_1377122233385_0002
> 13/08/21 21:59:23 INFO client.RMProxy: Connecting to ResourceManager at
> host1/ip1
> Job: job_1377122233385_0002
> Job File: /ABC/.staging/job_1377122233385_0002/job.xml
> Job Tracking URL : http://host1:port1/application_1377122233385_0002/
> Uber job : false
> Number of maps: 0
> Number of reduces: 0
> map() completion: 0.0
> reduce() completion: 0.0
> Job state: PREP
> retired: false
> reason for failure:
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