• python 进程池Pool


     1 #-*- coding:utf-8 -*-
     2 from multiprocessing import Pool
     3 import os,time,random
     4 
     5 def long_time_task(name):
     6     print 'Run task name %s and pid : %s..'%(name,os.getpid())
     7     start = time.time()
     8     time.sleep(random.random()*3)
     9     end = time.time()
    10     print 'Task %s betwine %s '%(name,(end-start))
    11 #    pass
    12 if __name__ == '__main__':
    13     print 'Parent process %s.'%os.getpid()
    14     p=Pool()
    15     for i in range(5):
    16         print 'now I is ' and i
    17         print 'Parent process %s.'%os.getpid()
    18         p.apply_async(long_time_task,args=(i,))
    19     print 'Wait for all subprocesses done...'
    20     print (i,)
    21     p.close()
    22     p.join()
    23     print 'All over'

    结果(类):

    Parent process 3896.
    0
    Parent process 3896.
    1
    Parent process 3896.
    2
    Parent process 3896.
    3
    Parent process 3896.
    4
    Parent process 3896.
    Wait for all subprocesses done...
    (4,)
    Run task name 0 and pid : 4300..
    Run task name 1 and pid : 4596..
    Task 1 betwine 1.32100009918
    Run task name 2 and pid : 4596..
    Task 0 betwine 2.61500000954
    Run task name 3 and pid : 4300..
    Task 2 betwine 2.65400004387
    Run task name 4 and pid : 4596..
    Task 4 betwine 0.599999904633
    Task 3 betwine 2.77799987793
    All over



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  • 原文地址:https://www.cnblogs.com/liunnis/p/4626114.html
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