1 import multiprocessing
2 import os
3 import time
4
5
6 def get_html(n):
7 time.sleep(n)
8 print('sub_progress success')
9 return n
10
11
12 if __name__ == '__main__':
13 # progress = multiprocessing.Process(target=get_html,args=(2,))
14 # progress.start()
15 # progress.join()
16 # print('main progress end')
17
18
19 pool = multiprocessing.Pool(multiprocessing.cpu_count())
20 result = pool.apply_async(get_html, args=(3,))
21
22 #等待所有任务完成
23 pool.close()
24 pool.join()
25 print(result.get())
26 import time
27 from concurrent.futures import ThreadPoolExecutor, as_completed
28 from concurrent.futures import ProcessPoolExecutor
29
30 def fib(n):
31 if n<=2:
32 return 1
33 return fib(n-1)+fib(n-2)
34
35
36 with ProcessPoolExecutor(3) as executor:
37 all_task = [executor.submit(fib,num) for num in range(25,35)]
38 start_time = time.time()
39 for future in as_completed(all_task):
40 data = future.result()
41 print('get {} page'.format(data))
42
43 print('last time is:{}'.format(time.time()-start_time))
