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Posted to mapreduce-issues@hadoop.apache.org by "Ahmed Radwan (JIRA)" <ji...@apache.org> on 2012/08/06 22:47:02 UTC
[jira] [Commented] (MAPREDUCE-4469) Resource calculation in child
tasks is CPU-heavy
[ https://issues.apache.org/jira/browse/MAPREDUCE-4469?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13429409#comment-13429409 ]
Ahmed Radwan commented on MAPREDUCE-4469:
-----------------------------------------
Thanks Todd! I think this is a result of the resource calculation done in the task's updateResourceCounters() which is continuously called to send progress update.
One option is to optionally disable the use of the ResourceCalculatorPlugin in the task, which will get rid of this overhead. Looking into the code, seems that the ResourceCalculatorPlugin is only used in the task to update CPU_MILLISECONDS, PHYSICAL_MEMORY_BYTES and VIRTUAL_MEMORY_BYTES counters which are only referenced in TestTTResourceReporting.
> Resource calculation in child tasks is CPU-heavy
> ------------------------------------------------
>
> Key: MAPREDUCE-4469
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-4469
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: performance, task
> Affects Versions: 1.0.3
> Reporter: Todd Lipcon
>
> In doing some benchmarking on a hadoop-1 derived codebase, I noticed that each of the child tasks was doing a ton of syscalls. Upon stracing, I noticed that it's spending a lot of time looping through all the files in /proc to calculate resource usage.
> As a test, I added a flag to disable use of the ResourceCalculatorPlugin within the tasks. On a CPU-bound 500G-sort workload, this improved total job runtime by about 10% (map slot-seconds by 14%, reduce slot seconds by 8%)
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