python - 进程池 multiprocessing.Pool的简单使用_multiprocessing.pool qq

import multiprocessing
import time
from queue import Queue
 
qurl = Queue()
 
 
def func(msg):
    print("msg:", msg)
    time.sleep(3)
    print("end")
 
 
def make_data():
    for i in range(10):
        qurl.put(i)
    print('------ qurl.qsize() = ', qurl.qsize())
 
 
def custom():
    pool = multiprocessing.Pool(processes=5)
    while not qurl.empty():
        data = qurl.get()
        print('--- data = ', data)
        pool.apply_async(func, (data,))  # 维持执行的进程总数为processes，当一个进程执行完毕后会添加新的进程进去
    pool.close()
    pool.join()  # 调用join之前，先调用close函数，否则会出错。执行完close后不会有新的进程加入到pool,join函数等待所有子进程结束
 
 
if __name__ == "__main__":
    start_time = time.time()
    make_data()
    print('make_data_end')
    custom()
    print('all task consum time = ', time.time() - start_time)
 
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