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From "Hudson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (AMBARI-19690) NM Memory can end up being too high on nodes with many components
Date Wed, 25 Jan 2017 18:24:26 GMT

    [ https://issues.apache.org/jira/browse/AMBARI-19690?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15838299#comment-15838299
] 

Hudson commented on AMBARI-19690:
---------------------------------

FAILURE: Integrated in Jenkins build Ambari-trunk-Commit #6544 (See [https://builds.apache.org/job/Ambari-trunk-Commit/6544/])
AMBARI-19690: NM Memory can end up being too high on nodes with many (jluniya: [http://git-wip-us.apache.org/repos/asf?p=ambari.git&a=commit&h=6a8115572b328785532aed27c1dc44a1bac17a01])
* (edit) ambari-server/src/main/resources/stacks/stack_advisor.py
* (edit) ambari-server/src/test/python/stacks/2.5/common/test_stack_advisor.py
* (edit) ambari-server/src/main/resources/stacks/HDP/2.5/services/stack_advisor.py
* (edit) ambari-server/src/test/python/stacks/2.0.6/common/test_stack_advisor.py
* (edit) ambari-server/src/main/resources/stacks/HDP/2.0.6/services/stack_advisor.py


> NM Memory can end up being too high on nodes with many components
> -----------------------------------------------------------------
>
>                 Key: AMBARI-19690
>                 URL: https://issues.apache.org/jira/browse/AMBARI-19690
>             Project: Ambari
>          Issue Type: Improvement
>            Reporter: Jayush Luniya
>            Assignee: Jayush Luniya
>         Attachments: AMBARI-19690.patch
>
>
> Ambari's Stack Advisor has a static method to compute OS/component overheads when computing
the YARN config 'yarn.nodemanager.resource.memory-mb' for NM
> We should add validation to check if there are any NodeManagers that would have high
memory usage based on co-located service components and report a warning. 



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