[ https://issues.apache.org/jira/browse/YARN-3416?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
mai shurong updated YARN-3416: ------------------------------ Description: I submit a big job, which has 500 maps and 350 reduce, to a queue(fairscheduler) with 300 max cores. When the big mapreduce job is running 100% maps, the 300 reduces have occupied 300 max cores in the queue. And then, a map fails and retry, waiting for a core, while the 300 reduces are waiting for failed map to finish. So a deadlock accur, the job is blocked, and the later job in the queue cannot run because no available cores in the queue. > deadlock in a job between map and reduce cores allocation > ---------------------------------------------------------- > > Key: YARN-3416 > URL: https://issues.apache.org/jira/browse/YARN-3416 > Project: Hadoop YARN > Issue Type: Bug > Components: fairscheduler > Affects Versions: 2.6.0 > Reporter: mai shurong > > I submit a big job, which has 500 maps and 350 reduce, to a > queue(fairscheduler) with 300 max cores. When the big mapreduce job is > running 100% maps, the 300 reduces have occupied 300 max cores in the queue. > And then, a map fails and retry, waiting for a core, while the 300 reduces > are waiting for failed map to finish. So a deadlock accur, the job is > blocked, and the later job in the queue cannot run because no available cores > in the queue. -- This message was sent by Atlassian JIRA (v6.3.4#6332)