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https://issues.apache.org/jira/browse/YARN-2556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14211664#comment-14211664
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Hadoop QA commented on YARN-2556:
---------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12681427/yarn2556.patch
against trunk revision 1a2e5cb.
{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:red}-1 core tests{color}. The patch failed these unit tests in
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient:
org.apache.hadoop.conf.TestNoDefaultsJobConf
org.apache.hadoop.fs.slive.TestSlive
org.apache.hadoop.mapred.TestJobSysDirWithDFS
{color:green}+1 contrib tests{color}. The patch passed contrib unit tests.
Test results:
https://builds.apache.org/job/PreCommit-YARN-Build/5840//testReport/
Console output: https://builds.apache.org/job/PreCommit-YARN-Build/5840//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,
> 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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