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zhoukang edited comment on MAPREDUCE-6302 at 4/12/20, 3:14 AM: --------------------------------------------------------------- Nice catch,we also encountered this problem.Thanks [~shurong.mai] was (Author: cane): Nice catch,we also encounter this problem.Thanks [~shurong.mai] > Preempt reducers after a configurable timeout irrespective of headroom > ---------------------------------------------------------------------- > > Key: MAPREDUCE-6302 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-6302 > Project: Hadoop Map/Reduce > Issue Type: Bug > Affects Versions: 2.6.0 > Reporter: Shurong Mai > Assignee: Karthik Kambatla > Priority: Critical > Fix For: 2.8.0, 2.7.3, 2.6.5, 3.0.0-alpha1 > > Attachments: AM_log_head100000.txt.gz, AM_log_tail100000.txt.gz, > MAPREDUCE-6302.branch-2.6.0001.patch, MAPREDUCE-6302.branch-2.7.0001.patch, > log.txt, mr-6302-1.patch, mr-6302-2.patch, mr-6302-3.patch, mr-6302-4.patch, > mr-6302-5.patch, mr-6302-6.patch, mr-6302-7.patch, mr-6302-prelim.patch, > mr-6302_branch-2.patch, queue_with_max163cores.png, > queue_with_max263cores.png, queue_with_max333cores.png > > > 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 occur. As a result, the > job is blocked, and the later job in the queue cannot run because no > available cores in the queue. > I think there is the similar issue for memory of a queue . -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: mapreduce-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: mapreduce-issues-h...@hadoop.apache.org