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https://issues.apache.org/jira/browse/YARN-2893?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14362026#comment-14362026
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Hadoop QA commented on YARN-2893:
---------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12704616/YARN-2893.001.patch
against trunk revision bd0a9ba.
{color:green}+1 @author{color}. The patch does not contain any @author
tags.
{color:green}+1 tests included{color}. The patch appears to include 1 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:red}-1 findbugs{color}. The patch appears to introduce 5 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-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager.
Test results:
https://builds.apache.org/job/PreCommit-YARN-Build/6962//testReport/
Findbugs warnings:
https://builds.apache.org/job/PreCommit-YARN-Build/6962//artifact/patchprocess/newPatchFindbugsWarningshadoop-yarn-server-resourcemanager.html
Console output: https://builds.apache.org/job/PreCommit-YARN-Build/6962//console
This message is automatically generated.
> AMLaucher: sporadic job failures due to EOFException in readTokenStorageStream
> ------------------------------------------------------------------------------
>
> Key: YARN-2893
> URL: https://issues.apache.org/jira/browse/YARN-2893
> Project: Hadoop YARN
> Issue Type: Bug
> Components: resourcemanager
> Affects Versions: 2.4.0
> Reporter: Gera Shegalov
> Assignee: zhihai xu
> Attachments: YARN-2893.000.patch, YARN-2893.001.patch
>
>
> MapReduce jobs on our clusters experience sporadic failures due to corrupt
> tokens in the AM launch context.
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