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https://issues.apache.org/jira/browse/MAPREDUCE-3205?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Arun C Murthy updated MAPREDUCE-3205:
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Status: Open (was: Patch Available)
Todd, the patch looks good.
Some comments:
# vmem.to.pmem.limit.ratio should we vmem-pmem-limit-ratio (better
vmem-pmem-ratio :) ) to be more consistent with our current naming scheme.
# Should we default the ratio to 1.0 to be compatible with current CS in 0.20?
# Do you want to make resource.memory-gb as resource.memory-mb i.e. incorporate
MAPREDUCE-3266?
# The 80% limit on available RAM needs to be more conservative? I shudder to
think it probably should be configurable...
# Might be helpful to add both pmem and vmem in error msgs for both exceptional
conditions for users?
> MR2 memory limits should be pmem, not vmem
> ------------------------------------------
>
> Key: MAPREDUCE-3205
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3205
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: mrv2, nodemanager
> Affects Versions: 0.23.0
> Reporter: Todd Lipcon
> Assignee: Todd Lipcon
> Attachments: mr-3205.txt, mr-3205.txt, mr-3205.txt, mr-3205.txt,
> mr-3205.txt
>
>
> Currently, the memory resources requested for a container limit the amount of
> virtual memory used by the container. On my test clusters, at least, Java
> processes take up nearly twice as much vmem as pmem - a Java process running
> with -Xmx500m uses 935m of vmem and only about 560m of pmem.
> This will force admins to either under-utilize available physical memory, or
> oversubscribe it by configuring the available resources on a TT to be larger
> than the true amount of physical RAM.
> Instead, I would propose that the resource limit apply to pmem, and allow the
> admin to configure a "vmem overcommit ratio" which sets the vmem limit as a
> function of pmem limit.
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