python生产者和消费者模式实现(三)进程池方式

注意：如果要使用Pool（进程池方式）创建进程，就需要使用multiprocessing.Manager()中的 Queue()，而不是multiprocessing.Queue()

import time
import random
from multiprocessing import Pool, Manager


# 生产者
def producer(q, i):
    food = ‘Spam-%d‘ % i
    time.sleep(random.uniform(1, 2))
    timeVal = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
    print(‘时间：%s\t生产者：%d\t生产了 Spam-%d‘ % (timeVal, i, i))
    q.put(food)


# 消费者
def consumer(q, i):
    while True:
        food = q.get()
        if not food: break
        time.sleep(random.uniform(1, 2))
        timeVal = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
        print(‘时间：%s\t消费者: %d\t吃了 %s‘ % (timeVal, i, food))


if __name__ == ‘__main__‘:
    q = Manager().Queue()

    producterNum = 50
    producterPoolNum = 5
    producterPool = Pool(producterPoolNum)
    for n in range(1, producterNum + 1):
        producterPool.apply_async(producer, (q, n))

    consumerPoolNum = 5
    consumerPool = Pool(consumerPoolNum)
    for n in range(1, consumerPoolNum + 1):
        consumerPool.apply_async(consumer, (q, n))

    producterPool.close()
    producterPool.join()

    for n in range(1, consumerPoolNum + 1):
        q.put(None)

    consumerPool.close()
    consumerPool.join()

    print(‘end‘)

python生产者和消费者模式实现(三)进程池方式

原文：https://www.cnblogs.com/WebLinuxStudy/p/11776832.html