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From "M. C. Srivas" <mcsri...@gmail.com>
Subject Re: Restricting the number of slave nodes used for a given job (regardless of the # of map/reduce tasks involved)
Date Sun, 23 Sep 2012 01:31:37 GMT
What you are asking for (and much more sophisticated "slicing/dicing" of
the cluster) is possible with MapR's distro. Please contact me offline if
you are interested, or try it for yourself at www.mapr.com/download

On Mon, Sep 10, 2012 at 2:06 AM, Safdar Kureishy

> Hi,
> I need to run some benchmarking tests for a given mapreduce job on a
> *subset
> *of a 10-node Hadoop cluster. Not that it matters, but the current cluster
> settings allow for ~20 map slots and 10 reduce slots per node.
> Without loss of generalization, let's say I want a job with these
> constraints below:
> - to use only *5* out of the 10 nodes for running the mappers,
> - to use only *5* out of the 10 nodes for running the reducers.
> Is there any other way of achieving this through Hadoop property overrides
> during job-submission time? I understand that the Fair Scheduler can
> potentially be used to create pools of a proportionate # of mappers and
> reducers, to achieve a similar outcome, but the problem is that I still
> cannot tie such a pool to a fixed # of machines (right?). Essentially,
> regardless of the # of map/reduce tasks involved, I only want a *fixed # of
> machines* to handle the job.
> Any tips on how I can go about achieving this?
> Thanks,
> Safdar

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