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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. -- This message was sent by Atlassian JIRA (v6.3.4#6332)