进程间通信

import time
from multiprocessing import Process, Queue, Pool, Manager, Pipe


# def producer(queue):
#     queue.put("a")
#     time.sleep(2)
#
# def consumer(queue):
#     time.sleep(2)
#     data = queue.get()
#     print(data)
#
# if __name__ == "__main__":
#     queue = Queue(10)
#     my_producer = Process(target=producer, args=(queue,))
#     my_consumer = Process(target=consumer, args=(queue,))
#     my_producer.start()
#     my_consumer.start()
#     my_producer.join()
#     my_consumer.join()

#共享全局变量通信
#共享全局变量不能适用于多进程编程，可以适用于多线程


# def producer(a):
#     a += 100
#     time.sleep(2)
#
# def consumer(a):
#     time.sleep(2)
#     print(a)
#
# if __name__ == "__main__":
#     a = 1
#     my_producer = Process(target=producer, args=(a,))
#     my_consumer = Process(target=consumer, args=(a,))
#     my_producer.start()
#     my_consumer.start()
#     my_producer.join()
#     my_consumer.join()

#multiprocessing中的queue不能用于pool进程池
#pool中的进程间通信需要使用manager中的queue

# def producer(queue):
#     queue.put("a")
#     time.sleep(2)
#
# def consumer(queue):
#     time.sleep(2)
#     data = queue.get()
#     print(data)
#
# if __name__ == "__main__":
#     queue = Manager().Queue(10)
#     pool = Pool(2)
#
#     pool.apply_async(producer, args=(queue,))
#     pool.apply_async(consumer, args=(queue,))
#
#     pool.close()
#     pool.join()

#通过pipe实现进程间通信
#pipe的性能高于queue

# def producer(pipe):
#     pipe.send("bobby")
#
# def consumer(pipe):
#     print(pipe.recv())
#
# if __name__ == "__main__":
#     recevie_pipe, send_pipe = Pipe()
#     #pipe只能适用于两个进程
#     my_producer= Process(target=producer, args=(send_pipe, ))
#     my_consumer = Process(target=consumer, args=(recevie_pipe,))
#
#     my_producer.start()
#     my_consumer.start()
#     my_producer.join()
#     my_consumer.join()

def add_data(p_dict, key, value):
    p_dict[key] = value

if __name__ == "__main__":
    progress_dict = Manager().dict()
    from queue import PriorityQueue

    first_progress = Process(target=add_data, args=(progress_dict, "bobby1", 22))
    second_progress = Process(target=add_data, args=(progress_dict, "bobby2", 23))

    first_progress.start()
    second_progress.start()
    first_progress.join()
    second_progress.join()

    print(progress_dict)