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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