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https://issues.apache.org/jira/browse/TEZ-2076?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14336442#comment-14336442
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Hadoop QA commented on TEZ-2076:
--------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12700740/TEZ-2076.3.patch
against master revision 088f92d.
{color:green}+1 @author{color}. The patch does not contain any @author
tags.
{color:red}-1 tests included{color}. The patch doesn't appear to include
any new or modified tests.
Please justify why no new tests are needed for this
patch.
Also please list what manual steps were performed to
verify this patch.
{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 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-TEZ-Build/225//testReport/
Console output: https://builds.apache.org/job/PreCommit-TEZ-Build/225//console
This message is automatically generated.
> Tez framework to extract/analyze data stored in ATS for specific dag
> --------------------------------------------------------------------
>
> Key: TEZ-2076
> URL: https://issues.apache.org/jira/browse/TEZ-2076
> Project: Apache Tez
> Issue Type: Improvement
> Reporter: Rajesh Balamohan
> Assignee: Rajesh Balamohan
> Attachments: TEZ-2076.1.patch, TEZ-2076.2.patch, TEZ-2076.3.patch,
> TEZ-2076.WIP.2.patch, TEZ-2076.WIP.3.patch, TEZ-2076.WIP.patch
>
>
> - Users should be able to download ATS data pertaining to a DAG from Tez-UI
> (more like a zip file containing DAG/Vertex/Task/TaskAttempt info).
> - This can be plugged to an analyzer which parses the data, adds semantics
> and provides an in-memory representation for further analysis.
> - This will enable to write different analyzer rules, which can be run on top
> of this in-memory representation to come up with analysis on the DAG.
> - Results of this analyzer rules can be rendered on to UI (standalone webapp)
> later point in time.
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