Yes, I think this is the best setup if you have control over your cluster.
And yes, I have already tried that.


On Fri, Feb 7, 2014 at 11:39 AM, Sundara Raghavan Sankaran <
sun...@crayondata.com> wrote:

>
> On Fri, Feb 7, 2014 at 4:00 PM, Claudio Martella <
> claudio.marte...@gmail.com> wrote:
>
>>
>>
>>
>> On Fri, Feb 7, 2014 at 9:44 AM, Alexander Frolov <
>> alexndr.fro...@gmail.com> wrote:
>>
>>>  Thank you, I will try to do this. As I understood I should set number
>>>> of threads manually through Giraph API.
>>>>
>>>> BTW, what is conceptual difference between running multiple workers on
>>>> the TaskTracker and running single worker and multiple threads? In terms of
>>>> vertex fetching, memory sharing etc.
>>>>
>>>
>> Basically, better usage of resources: one single JVM, no duplication of
>> core data structures, less netty threads and communication points, more
>> locality (less messages over the network), less actors accessing zookeeper
>> etc.
>>
>
> So, is it better to have one worker per machine with the number of threads
> as per the core of the machines? Suppose if I have 8 machines with 6 cores
> each, then instead of running 47 Workers (1 thread per Worker) + 1 Master,
> it's better to run 8 Workers (6 threads per Worker) + 1 Master? Have you
> tried this already?
>
>
>>
>>>
>>>>  Also I would like to ask how message transfer between vertices is
>>> implemented in terms of Hadoop primitives? Source code reference will be
>>> enough.
>>>
>>
>> Communication does not happen via Hadoop primitives, but ad-hoc via
>> netty.
>>
>>
>>
>> --
>>    Claudio Martella
>>
>>
>
> --
> *Sundara Raghavan Sankaran*
>
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-- 
   Claudio Martella

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