Question

I am new to multiprocessing

I have run example code for two ‘highly recommended’ multiprocessing examples given in response to other stackoverflow multiprocessing questions. Here is an example of one (which i dare not run again!)

test2.py (running from pydev)

import multiprocessing

class MyFancyClass(object):

    def __init__(self, name):
        self.name = name

    def do_something(self):
        proc_name = multiprocessing.current_process().name
        print(proc_name, self.name)


def worker(q):
    obj = q.get()
    obj.do_something()



queue = multiprocessing.Queue()

p = multiprocessing.Process(target=worker, args=(queue,))
p.start()

queue.put(MyFancyClass('Fancy Dan'))

# Wait for the worker to finish
queue.close()
queue.join_thread()
p.join()

When I run this my computer slows down imminently. It gets incrementally slower. After some time I managed to get into the task manager only to see MANY MANY python.exe under the processes tab. after trying to end process on some, my mouse stopped moving. It was the second time i was forced to reboot.

I am too scared to attempt a third example…

running – Intel(R) Core(TM) i7 CPU 870 @ 2.93GHz (8 CPUs), ~2.9GHz on win7 64

If anyone know what the issue is and can provide a VERY SIMPLE example of multiprocessing (send a string too a multiprocess, alter it and send it back for printing) I would be very grateful.

Answer 1

From the docs:

Make sure that the main module can be safely imported by a new Python
interpreter without causing unintended side effects (such a starting a
new process).

Thus, on Windows, you must wrap your code inside a

if __name__=='__main__':

block.

---

For example, this sends a string to the worker process, the string is reversed and the result is printed by the main process:

import multiprocessing as mp

def worker(inq,outq):
    obj = inq.get()
    obj = obj[::-1]
    outq.put(obj)

if __name__=='__main__':
    inq = mp.Queue()
    outq = mp.Queue()

    p = mp.Process(target=worker, args=(inq,outq))
    p.start()

    inq.put('Fancy Dan')

    # Wait for the worker to finish
    p.join()
    result = outq.get()
    print(result)