Manager类共享数据操作

>>Manager类共享数据操作

# 使用Manager 结合进程池实现生产者消费模式
import time
from multiprocessing import Queue, Process, Pool,Manager
def producter(q, data):
        q.put(data)
def producter_1(q,data1):
        q.put(data1)
def costermer(q):
    while q.qsize() >0:
        coster_data=q.get()
        print('消费者1数据：%s'%coster_data)
    if q.full():
        time.sleep(5)
def costermer_1(q):
    while q.qsize() >0:
        coster_data=q.get()
        print('消费者2数据：%s'%coster_data)
    if q.full():
        time.sleep(5)
def main():
    manager =Manager() # 获取manager对象实例 共享进程
    queue=manager.Queue(maxsize=10)
    pool=Pool(3)
    data = '112n8asdasjfasdasfasdasfasda'
    data1= '12'
    for i in data:
        for j in data1:
            # p1=Process(target=producter,args=(queue,i))
            # p2=Process(target=costermer,args=(queue,))
            # p3 = Process(target=producter_1,args=(queue,data1))
            # p4 = Process(target=costermer_1,args=(queue,))
            # p1.start()
            # p2.start()
            # p3.start()
            # p4.start()
            # p1.join()
            # p2.join()
            # p3.join()
            # p4.join()
            p1=pool.apply_async(func=producter,args=(queue,i))
            p2=pool.apply_async(func=producter_1,args=(queue,j))
            p3=pool.apply_async(func=costermer,args=(queue,))
            p4=pool.apply_async(func=costermer_1,args=(queue,))
    pool.close()
    pool.join()
if __name__ == '__main__':
    main()