python 進程池Pool

標籤：

 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 #    pass12 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 i17         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‘

結果（類）：

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

 

python 進程池Pool