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Hadoop QA commented on MAPREDUCE-5279: -------------------------------------- {color:green}+1 overall{color}. Here are the results of testing the latest attachment http://issues.apache.org/jira/secure/attachment/12585385/MAPREDUCE-5279.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 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}. The javadoc tool did not generate any 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:green}+1 core tests{color}. The patch passed unit tests in hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager. {color:green}+1 contrib tests{color}. The patch passed contrib unit tests. Test results: https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/3695//testReport/ Console output: https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/3695//console This message is automatically generated. > mapreduce scheduling deadlock > ----------------------------- > > Key: MAPREDUCE-5279 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-5279 > Project: Hadoop Map/Reduce > Issue Type: Bug > Components: mrv2, scheduler > Affects Versions: 2.0.3-alpha > Reporter: PengZhang > Fix For: trunk > > Attachments: MAPREDUCE-5279.patch > > > YARN-2 imported cpu dimension scheduling, but MR RMContainerAllocator doesn't > take into account virtual cores while scheduling reduce tasks. > This may cause more reduce tasks to be scheduled because memory is enough. > And on a small cluster, this will end with deadlock, all running containers > are reduce tasks but map phase is not finished. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira