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https://issues.apache.org/jira/browse/AMBARI-14679?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15103439#comment-15103439
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Hudson commented on AMBARI-14679:
---------------------------------

FAILURE: Integrated in Ambari-branch-2.2 #211 (See 
[https://builds.apache.org/job/Ambari-branch-2.2/211/])
AMBARI-14679. When Spark is added later to a cluster with YARN deployed 
(smohanty: 
[http://git-wip-us.apache.org/repos/asf?p=ambari.git&a=commit&h=302c58caeaf91896abcd54f9e4e75a864f285a3d])
* ambari-server/src/main/resources/stacks/HDP/2.4/services/stack_advisor.py
* 
ambari-server/src/main/resources/stacks/HDP/2.4/services/YARN/configuration/yarn-site.xml


> When Spark is added later to a cluster with YARN deployed then yarn-site is 
> not modified
> ----------------------------------------------------------------------------------------
>
>                 Key: AMBARI-14679
>                 URL: https://issues.apache.org/jira/browse/AMBARI-14679
>             Project: Ambari
>          Issue Type: Bug
>          Components: ambari-server
>    Affects Versions: 2.2.1
>            Reporter: Swapan Shridhar
>            Assignee: Swapan Shridhar
>            Priority: Critical
>             Fix For: 2.2.1
>
>         Attachments: AMBARI-14679.patch
>
>
> If Spark is added to an existing cluster with YARN using HDP 2.4, then 
> yarn-site:yarn.nodemanager.aux-services is not modified to include 
> spark_shuffle.
> Recommendation show is :
> {code}
> Recommendations: 
> {'yarn.timeline-service.entity-group-fs-store.group-id-plugin-classes': '', 
> 'yarn.nodemanager.container-executor.class': 
> 'org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor', 
> 'yarn.nodemanager.aux-services.spark_shuffle.class': 
> 'org.apache.spark.network.yarn.YarnShuffleService', 
> 'yarn.scheduler.minimum-allocation-vcores': '1', 
> 'yarn.scheduler.maximum-allocation-vcores': '1', 
> 'yarn.nodemanager.resource.memory-mb': '1024', 
> 'yarn.scheduler.minimum-allocation-mb': '341', 
> 'yarn.nodemanager.resource.cpu-vcores': '1', 'yarn.nodemanager.aux-services': 
> 'mapreduce_shuffle, 'yarn.scheduler.maximum-allocation-mb': '1024', 
> 'yarn.nodemanager.linux-container-executor.group': 'hadoop'}
> {code}
> But with SPARK added, it should be :
> {code}
>  'yarn.nodemanager.aux-services': 'mapreduce_shuffle,spark_shuffle'
> {code}



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