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https://issues.apache.org/jira/browse/HADOOP-3581?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12614231#action_12614231
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Vinod Kumar Vavilapalli commented on HADOOP-3581:
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Summarizing all the discussion that went so far ..
- TaskTracker tracks the memory usage of all the tasks and their sub-processes
(irrespective of which user runs which tasks).
- It uses per-task-objects of classes implementing ProcessTree as described
earlier. Currently, we implement ProcfsBasedProcessTree, which works on both
Linux and Cygwin. For other OS' we need classes extending ProcessTree.
- We will have two configuration properties - per-tracker property
mapred.tasktracker.tasks.maxmemory specifying maximum memory usable across all
tasks on a tasktracker; and per-job property mapred.map.memlimit.percent for
specifying memory usable across all maps in terms of percentage of
mapred.tasktracker.tasks.maxmemory. Maximum memory usable by reduce tasks =
(100-mapred.map.memlimit.percent )% of mapred.tasktracker.tasks.maxmemory. All
these are virtual memory limits, not working set. By default, we can set
mapred.tasktracker.tasks.maxmemory to 12GB(4GB RAM + 8GB swap) and
mapred.map.memlimit.percent to 33%. Should be ok?
- After every heartbeat, TT scans through the list of running tasks and finds
if any task trees are transgressing limits and kills them by issuing 'kill
<pid>' (SIGTERM) to each process in each of the concerned process-trees. TT
will monitor if a process-tree is killed successfully. If not, it issues a
subsequent SIGKILL.
- ProcfsBasedProcessTree: Constructs process-tree information from /proc file
system. TT obtains pid from the task via the rpc method getPid and then
constructs the process tree using procfs.
Please put forward your objections to the above proposal, if any.
> Prevent memory intensive user tasks from taking down nodes
> ----------------------------------------------------------
>
> Key: HADOOP-3581
> URL: https://issues.apache.org/jira/browse/HADOOP-3581
> Project: Hadoop Core
> Issue Type: Improvement
> Components: mapred
> Reporter: Hemanth Yamijala
> Assignee: Vinod Kumar Vavilapalli
> Attachments: patch_3581_0.1.txt
>
>
> Sometimes user Map/Reduce applications can get extremely memory intensive,
> maybe due to some inadvertent bugs in the user code, or the amount of data
> processed. When this happens, the user tasks start to interfere with the
> proper execution of other processes on the node, including other Hadoop
> daemons like the DataNode and TaskTracker. Thus, the node would become
> unusable for any Hadoop tasks. There should be a way to prevent such tasks
> from bringing down the node.
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