Python通过4种方式实现进程数据通信

 from multiprocessing import Process, Queue, Pool, Manager, Pipe # 注意线程间的通信,使用的queue.Queue # from queue import Queue import time # 1. 使用multiprocessing.Queue可以在进程间通信 # 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) #   p = Process(target=producer, args=(queue,)) #   c = Process(target=consumer, args=(queue,)) #   p.start() #   c.start() #   p.join() #   c.join() # 2. 使用共享全局变量,在多进程间通信(结论: 不行) # def producer(a): #   a += 1 #   time.sleep(2) # # # def consumer(a): #   time.sleep<a style="color:transparent">来源gao($daima.com搞@代@#码(网</a>(2) #   print(a) # # if __name__ == '__main__': #   a = 1 #   p = Process(target=producer, args=(a,)) #   c = Process(target=consumer, args=(a,)) #   p.start() #   c.start() #   p.join() #   c.join() # 3. multiprocessing.Queue不能用于multiprocessing.Pool进程池创建的进程间进行通信 # def producer(queue): #   queue.put('A') #   time.sleep(2) # # # def consumer(queue): #   time.sleep(2) #   data = queue.get() #   print("consumer:%s" % data) # # # if __name__ == '__main__': #   # queue = Queue(10) # 这个是使用multiprocessing.Queue,无效 #   queue = Manager().Queue(10) # 这个是使用multiprocessing.Manager.Queue, 可以 #   pool = Pool(2) #   pool.apply_async(producer, args=(queue,)) #   pool.apply_async(consumer, args=(queue,)) #   pool.close() #   pool.join() # 4.通过Pipe进行线程间的通信, pipe进程间通信的性能高于Queue # def producer(pipe): #   pipe.send('admin') # # # def consumer(pipe): #   data = pipe.recv() #   print("consumer:%s" % data) # # # if __name__ == '__main__': #   receive_pipe, send_pipe = Pipe() #   """Pipe只能适应于两个进程间的通信""" #   p = Process(target=producer, args=(send_pipe,)) #   c = Process(target=consumer, args=(receive_pipe,)) #   p.start() #   c.start() #   p.join() #   c.join() # 5. 进程间通信的其它方式 def add_data(p_dict, key, value): p_dict[key] = value if __name__ == '__main__': progress_dict = Manager().dict() #Manager()类中提供的数据结构都能够做到进程的通信 first_progress = Process(target=add_data, args=(progress_dict, 'name', 'admin',)) second_progress = Process(target=add_data, args=(progress_dict, 'age', 45,)) first_progress.start() second_progress.start() first_progress.join() second_progress.join() print(progress_dict) #{'age': 45, 'name': 'admin'}