python3 使用线程池、进程池完成多线程、多进程任务

 

python3 使用线程池、进程池完成多线程、多进程任务

2018-12-22 20:55:57 raylu666 阅读数 1876更多

分类专栏： Python

 

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本文链接：https://blog.csdn.net/java_raylu/article/details/85217892

1.  
   from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor #线程池，进程池
2.  
   import threading,time
3.  
    
4.  
   def test(arg):
5.  
   print(arg,threading.current_thread().name)
6.  
   time.sleep(1)
7.  
    
8.  
   if __name__ == "__main__":
9.  
   thread_pool = ThreadPoolExecutor(5) #定义5个线程执行此任务
10.  
    process_pool = ProcessPoolExecutor(5) #定义5个进程
11.  
    for i in range(20):
12.  
    thread_pool.submit(test,i)
13.  
    #process_pool.submit(test,i)

执行结果，可以看到任务按计划完成，所有线程顺序基本随机：

1.  
   C:\Python37\python.exe C:/Users/mayn/PycharmProjects/test11/线程池进程池.py
2.  
   0 ThreadPoolExecutor-0_0
3.  
   1 ThreadPoolExecutor-0_1
4.  
   2 ThreadPoolExecutor-0_2
5.  
   3 ThreadPoolExecutor-0_3
6.  
   4 ThreadPoolExecutor-0_4
7.  
   5 ThreadPoolExecutor-0_0
8.  
   6 ThreadPoolExecutor-0_3
9.  
   7 ThreadPoolExecutor-0_4
10.  
    89 ThreadPoolExecutor-0_2
11.  
    ThreadPoolExecutor-0_1
12.  
    10 ThreadPoolExecutor-0_0
13.  
    11 ThreadPoolExecutor-0_4
14.  
    12 ThreadPoolExecutor-0_1
15.  
    13 ThreadPoolExecutor-0_3
16.  
    14 ThreadPoolExecutor-0_2
17.  
    15 ThreadPoolExecutor-0_0
18.  
    16 ThreadPoolExecutor-0_2
19.  
    17 ThreadPoolExecutor-0_4
20.  
    18 ThreadPoolExecutor-0_1
21.