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https://issues.apache.org/jira/browse/MAPREDUCE-4304?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13475367#comment-13475367
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Alejandro Abdelnur commented on MAPREDUCE-4304:
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A way to avoid deadlocks is to use a dedicated queue for the oozie action
launcher jobs, different that the queue used for the oozie action jobs
themselves.
Also, launcher jobs could be configured to use little memory for the case of
map-reduce actions (the launchers only submit the real job). For other action
types, ie pig & hive, the launcher runs the actual client invocation (pig or
hive), so launcher memory may have to higher than for map-reduce launcher
action.
A more longer term approach (in combination with the above) would be to use a
OozieLauncherAM thus reducing the number of containers for each launchers from
2 to 1.
> Deadlock where all containers are held by ApplicationMasters should be
> prevented
> --------------------------------------------------------------------------------
>
> Key: MAPREDUCE-4304
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-4304
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: mrv2, resourcemanager
> Affects Versions: 0.23.1
> Reporter: Herman Chen
>
> In my test cluster with 4 NodeManagers, each with only ~1.6G container
> memory, when a burst of jobs, e.g. >10, are concurrently submitted, it is
> likely that 4 jobs are accepted, with 4 ApplicationMasters allocated, but
> then the jobs block each other indefinitely because they're all waiting to
> allocate more containers.
> Note that the problem is not limited to tiny cluster like this. As long as
> the number of jobs being submitted is greater than the rate jobs finish, it
> may run into a vicious cycle where more and more containers are locked up by
> ApplicationMasters.
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