Beispiel für Parallelisierung von Jobs mit Ergebnis welche als Liste zurückgegeben werden.

#!/usr/bin/env python
# -*- encoding: utf-8; py-indent-offset: 4 -*-

import os
from multiprocessing import Pool


def worker(job):
    x, y = job
    result = x ** y
    return os.getpid(), result
  
if __name__ == '__main__':
    jobs = [(1, 2), (3, 4), (5, 6), (11, 12), (13, 14), (15, 16), (21, 22), (23, 24), (25, 26)]
    
    result_buffer = []
  
    pool = Pool(processes=5)
    
    for job in jobs:
        result_buffer.append(pool.apply_async(worker, args=(job,)))
    
    pool.close()
    pool.join()
  
    results = [r.get() for r in result_buffer]

    print results
  
    for pid, result in results:
        print "working pid was: %s" % pid
        print "result is: %s" % result
        print "---"

Beispiel Ergebnis:

$python mp_with_result.py

[(7992, 1), (7992, 81), (7992, 15625), (7992, 3138428376721L), (7992, 3937376385699289L), (7992, 6568408355712890625L), (7992, 122694327386105632949003612841L), (7992, 480250763996501976790165756943041L), (7992, 2220446049250313080847263336181640625L)]
working pid was: 7992
result is: 1
---
working pid was: 7992
result is: 81
---
working pid was: 7992
result is: 15625
---
working pid was: 7992
result is: 3138428376721
---
working pid was: 7992
result is: 3937376385699289
---
working pid was: 7992
result is: 6568408355712890625
---
working pid was: 7992
result is: 122694327386105632949003612841
---
working pid was: 7992
result is: 480250763996501976790165756943041
---
working pid was: 7992
result is: 2220446049250313080847263336181640625
---

 

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