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https://issues.apache.org/jira/browse/YARN-3348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14483424#comment-14483424
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Hadoop QA commented on YARN-3348:
---------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12723653/apache-yarn-3348.1.patch
against trunk revision 19a4fea.
{color:green}+1 @author{color}. The patch does not contain any @author
tags.
{color:green}+1 tests included{color}. The patch appears to include 4 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}. There were no new javadoc warning messages.
{color:red}-1 eclipse:eclipse{color}. The patch failed to build with
eclipse:eclipse.
{color:green}+1 findbugs{color}. The patch does not introduce any new
Findbugs (version 2.0.3) 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 .
Test results:
https://builds.apache.org/job/PreCommit-YARN-Build/7240//testReport/
Console output: https://builds.apache.org/job/PreCommit-YARN-Build/7240//console
This message is automatically generated.
> Add a 'yarn top' tool to help understand cluster usage
> ------------------------------------------------------
>
> Key: YARN-3348
> URL: https://issues.apache.org/jira/browse/YARN-3348
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: resourcemanager
> Reporter: Varun Vasudev
> Assignee: Varun Vasudev
> Attachments: apache-yarn-3348.0.patch, apache-yarn-3348.1.patch
>
>
> It would be helpful to have a 'yarn top' tool that would allow administrators
> to understand which apps are consuming resources.
> Ideally the tool would allow you to filter by queue, user, maybe labels, etc
> and show you statistics on container allocation across the cluster to find
> out which apps are consuming the most resources on the cluster.
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