I think no good solution. You can try to run a java application by using 
FileInputFormat.getSplits to get the size of the array, which number you can 
set to giraph workers.
Or run a simple map-reduce job by using IdentityMapper to see how many mappers 
there.

Thanks,
Zhang, David (Paypal Risk)
From: Charith Wickramarachchi [mailto:charith.dhanus...@gmail.com]
Sent: 2014年10月24日 5:37
To: user
Subject: Re: Resource Allocation Model Of Apache Giraph

Thanks  Claudio and Avery,

I find a way way to configure hadoop to have desired number of mappers per 
machine as Claudio mentioned.

Avery,
Could you please tell me how I can configure giraph to make each worker handle 
only a single partition?

Thanks,
Charith

On Thu, Oct 23, 2014 at 2:26 PM, Avery Ching 
<ach...@apache.org<mailto:ach...@apache.org>> wrote:
Regarding your second point, partitions are decoupled from workers.  A worker 
can handle zero or more partitions.  You can make each worker handle one 
partition, but we typically like multiple partitions since we can use 
multi-threading per machine.


On 10/23/14, 9:04 AM, Claudio Martella wrote:
the way mappers (or containers) and hence workers are assigned to machines is 
not under the control of giraph, but of the underlying hadoop environment (with 
different responsibilities that depend on the hadoop version, e.g. YARN). 
You'll have to tweak your hadoop configuration to control the maximum number of 
workers assigned to one machine (optimally one with multiple threads).

On Thu, Oct 23, 2014 at 5:53 PM, Charith Wickramarachchi 
<charith.dhanus...@gmail.com<mailto:charith.dhanus...@gmail.com>> wrote:
Hi Folks,

I'm wondering what is the resource allocation model for Apache Giraph.

As I understand each worker is one to one Mapped with a Mapper and a worker can 
process multiple partitions with a user defined number of threads.

Is it possible to make sure that one worker, only process a single partition? 
Also is it possible to control the worker assignment in the cluster nodes? (Ex: 
Make sure only N  workers runs on a single machine, assuming we have enough 
resources)

Thanks,
Charith








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   Claudio Martella





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