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https://issues.apache.org/jira/browse/YARN-2556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14364374#comment-14364374
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Hadoop QA commented on YARN-2556:
---------------------------------

{color:green}+1 overall{color}.  Here are the results of testing the latest 
attachment 
  http://issues.apache.org/jira/secure/attachment/12704923/YARN-2556.1.patch
  against trunk revision 2681ed9.

    {color:green}+1 @author{color}.  The patch does not contain any @author 
tags.

    {color:green}+1 tests included{color}.  The patch appears to include 2 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:green}+1 eclipse:eclipse{color}.  The patch built 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 
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient.

Test results: 
https://builds.apache.org/job/PreCommit-YARN-Build/6988//testReport/
Console output: https://builds.apache.org/job/PreCommit-YARN-Build/6988//console

This message is automatically generated.

> Tool to measure the performance of the timeline server
> ------------------------------------------------------
>
>                 Key: YARN-2556
>                 URL: https://issues.apache.org/jira/browse/YARN-2556
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: timelineserver
>            Reporter: Jonathan Eagles
>            Assignee: Chang Li
>         Attachments: YARN-2556-WIP.patch, YARN-2556-WIP.patch, 
> YARN-2556.1.patch, YARN-2556.patch, yarn2556.patch, yarn2556.patch, 
> yarn2556_wip.patch
>
>
> We need to be able to understand the capacity model for the timeline server 
> to give users the tools they need to deploy a timeline server with the 
> correct capacity.
> I propose we create a mapreduce job that can measure timeline server write 
> and read performance. Transactions per second, I/O for both read and write 
> would be a good start.
> This could be done as an example or test job that could be tied into gridmix.



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