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From Nathan Leung <ncle...@gmail.com>
Subject Re: Need Help regarding topology with numWorker>1
Date Thu, 11 Feb 2016 20:07:38 GMT
Any situation where you require more CPU than 1 server can provide for you
- there are tuning parameters (e.g. localOrShuffleGrouping) that you can
use to reduce the amount of data sent over the network too.

Any situation where you need to have tolerance in case of machine failure.



On Thu, Feb 11, 2016 at 2:58 PM, Rudraneel chakraborty <
rudraneel.chakraborty@gmail.com> wrote:

> Topology param numWorkers i meant
>
>
> On Thursday, 11 February 2016, Rudraneel chakraborty <
> rudraneel.chakraborty@gmail.com> wrote:
>
>> More specifically , i have seen a topology performs better if it is
>> assigned a single worker compared to more than one worker.
>>
>> I want a situation where a topology performs better with more than one
>> worker.
>>
>> And it doesnt matter if both workers are on same supervisor or different
>> supervisor
>>
>> On Thursday, 11 February 2016, Matthias J. Sax <mjsax@apache.org> wrote:
>>
>>> I am not sure what you mean:
>>>
>>>   - number of worker slots per supervisor
>>> or
>>>   - topology parameter "number of workers"
>>>
>>> Can you clarify?
>>>
>>> -Matthias
>>>
>>> On 02/11/2016 05:14 AM, anshu shukla wrote:
>>> > Not  like that..  But i have used workers equal to number of cores.
>>> Each
>>> > vm with 8 corea.
>>> >
>>> > On 11 Feb 2016 9:07 am, "Rudraneel chakraborty"
>>> > <rudraneel.chakraborty@gmail.com
>>> > <mailto:rudraneel.chakraborty@gmail.com>> wrote:
>>> >
>>> >     more than one worker on same node ? Did u use custom schedule r?
>>> >     because by default, the workers would be spread throughout the
>>> cluster
>>> >
>>>
>>>
>>
>> --
>> Rudraneel Chakraborty
>> Carleton University Real Time and Distributed Systems Reserach
>>
>>
>
> --
> Rudraneel Chakraborty
> Carleton University Real Time and Distributed Systems Reserach
>
>

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