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Posted to yarn-issues@hadoop.apache.org by "Hadoop QA (JIRA)" <ji...@apache.org> on 2014/05/24 02:00:07 UTC
[jira] [Commented] (YARN-1913) With Fair Scheduler, cluster can
logjam when all resources are consumed by AMs
[ https://issues.apache.org/jira/browse/YARN-1913?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14007905#comment-14007905 ]
Hadoop QA commented on YARN-1913:
---------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest attachment
http://issues.apache.org/jira/secure/attachment/12646404/YARN-1913.patch
against trunk revision .
{color:green}+1 @author{color}. The patch does not contain any @author tags.
{color:green}+1 tests included{color}. The patch appears to include 3 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 1.3.9) 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-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager:
org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.TestFairScheduler
{color:green}+1 contrib tests{color}. The patch passed contrib unit tests.
Test results: https://builds.apache.org/job/PreCommit-YARN-Build/3816//testReport/
Console output: https://builds.apache.org/job/PreCommit-YARN-Build/3816//console
This message is automatically generated.
> With Fair Scheduler, cluster can logjam when all resources are consumed by AMs
> ------------------------------------------------------------------------------
>
> Key: YARN-1913
> URL: https://issues.apache.org/jira/browse/YARN-1913
> Project: Hadoop YARN
> Issue Type: Bug
> Components: scheduler
> Affects Versions: 2.3.0
> Reporter: bc Wong
> Assignee: Wei Yan
> Attachments: YARN-1913.patch, YARN-1913.patch
>
>
> It's possible to deadlock a cluster by submitting many applications at once, and have all cluster resources taken up by AMs.
> One solution is for the scheduler to limit resources taken up by AMs, as a percentage of total cluster resources, via a "maxApplicationMasterShare" config.
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