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Posted to yarn-issues@hadoop.apache.org by "Hadoop QA (JIRA)" <ji...@apache.org> on 2015/03/17 02:26:39 UTC
[jira] [Commented] (YARN-2556) Tool to measure the performance of
the timeline server
[ https://issues.apache.org/jira/browse/YARN-2556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14364374#comment-14364374 ]
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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