python multiprocessing apply_async only uses one process

Question

I have a script that includes opening a file from a list and then doing something to the text within that file. I\'m using python multiprocessing and Pool to try to parallel

Answer 1

Maybe in this case you should use map_async:

import os
from multiprocessing import Pool

results = []
def testFunc(file):
    message =  ("Working in Process #%d" % (os.getpid()))
    #This is just an illustration of some logic. This is not what I'm actually doing.
    for line in file:
        if 'dog' in line:
            results.append(line)
    return message

if __name__=="__main__":
    print("saddsf")
    p = Pool(processes=2)
    files = ['/path/to/file1.txt', '/path/to/file2.txt']
    results = p.map_async(testFunc, files)
    print(results.get())