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Philip Zeyliger commented on MAPREDUCE-220:
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Hi Scott,
You could also "reset" the counters to 0 when the new task is started (sort of like a "tare"
button on a scale). If resourceCalculator.getProcCumulativeCpuTime() was rather resourceCalculator.getCumulativeCpuTimeDelta()
[cumulative CPU time since last call], you could use counter.incr() for the CPU usage.
It's also worth mentioning that the memory usage here is the last-known memory usage value.
It's not byte-seconds (which wouldn't be that useful), nor is it maximum memory. That seems
useful, but it's a bit unintuitive.
{noformat}
+ long cpuTime = resourceCalculator.getProcCumulativeCpuTime();
+ long pMem = resourceCalculator.getProcPhysicalMemorySize();
+ long vMem = resourceCalculator.getProcVirtualMemorySize();
+ counters.findCounter(TaskCounter.CPU_MILLISECONDS).setValue(cpuTime);
+ counters.findCounter(TaskCounter.PHYSICAL_MEMORY_BYTES).setValue(pMem);
+ counters.findCounter(TaskCounter.VIRTUAL_MEMORY_BYTES).setValue(vMem);
{noformat}
> Collecting cpu and memory usage for MapReduce tasks
> ---------------------------------------------------
>
> Key: MAPREDUCE-220
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-220
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Components: task, tasktracker
> Reporter: Hong Tang
> Assignee: Scott Chen
> Fix For: 0.22.0
>
> Attachments: MAPREDUCE-220-20100616.txt, MAPREDUCE-220-v1.txt, MAPREDUCE-220.txt
>
>
> It would be nice for TaskTracker to collect cpu and memory usage for individual Map or
Reduce tasks over time.
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