Created
February 19, 2014 01:35
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require 'rinda/tuplespace' | |
# Workers will be initialized a Rinda::TupleSpace | |
# (which we can use as a stand-in for Redis | |
class MapReduceWorker | |
def initialize(tuplespace) | |
@ts = tuplespace | |
@name = "MapReduceJob" | |
end | |
def work | |
return if @ts.read([@name, nil]) | |
job = @ts.take([@name, nil]).last | |
puts "Performing a MapReduceJob!" | |
result = job[:data].inject(&job[:method]) | |
puts "computed result: #{result}" | |
end | |
end | |
# bin/caribou is responsible for initializing workers,managing the TupleSpace | |
URI = "druby://localhost:7777" | |
ts = Rinda::TupleSpace.new | |
# initialize all the workers, three steps: | |
# 1. create a worker | |
m = MapReduceWorker.new(ts) | |
# 2. create an observer which will fire when | |
# a compatible item is added to the TupleSpace | |
observer = ts.notify 'write', ['MapReduceJob', nil] | |
# 3. kick off a thread with a block to call worker.work, when something published to TupleSpace | |
Thread.start do | |
observer.each { |t| m.work } | |
end | |
DRb.start_service(URI, ts) | |
DRb.thread.join | |
# then another process has to write Jobs to the tuplespace | |
# | |
Caribou.connect("druby://localhost:7777") | |
def some_controller | |
#... | |
Caribou.enqueue([MapReduceWorker, {data: [1,2,3,4,5], method: :+ }]) | |
end |
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