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前言

本文主要給大家介紹了關(guān)于python用隊(duì)列asyncio.Queue通訊的相關(guān)內(nèi)容，分享出來供大家參考學(xué)習(xí)，下面話不多說了，來一起看看詳細(xì)的介紹吧。

asyncio.Queue與其它隊(duì)列是一樣的，都是先進(jìn)先出，它是為協(xié)程定義的

例子如下：

									import asyncio 

									async def consumer(n, q): 

									 print('consumer {}: starting'.format(n)) 

									 while True: 

									  print('consumer {}: waiting for item'.format(n)) 

									  item = await q.get() 

									  print('consumer {}: has item {}'.format(n, item)) 

									  if item is None: 

									   # None is the signal to stop. 

									   q.task_done() 

									   break

									  else: 

									   await asyncio.sleep(0.01 * item) 

									   q.task_done() 

									 print('consumer {}: ending'.format(n)) 

									async def producer(q, num_workers): 

									 print('producer: starting') 

									 # Add some numbers to the queue to simulate jobs 

									 for i in range(num_workers * 3): 

									  await q.put(i) 

									  print('producer: added task {} to the queue'.format(i)) 

									 # Add None entries in the queue 

									 # to signal the consumers to exit 

									 print('producer: adding stop signals to the queue') 

									 for i in range(num_workers): 

									  await q.put(None) 

									 print('producer: waiting for queue to empty') 

									 await q.join() 

									 print('producer: ending') 

									async def main(loop, num_consumers): 

									 # Create the queue with a fixed size so the producer 

									 # will block until the consumers pull some items out. 

									 q = asyncio.Queue(maxsize=num_consumers) 

									 # Scheduled the consumer tasks. 

									 consumers = [ 

									  loop.create_task(consumer(i, q)) 

									  for i in range(num_consumers) 

									 ] 

									 # Schedule the producer task. 

									 prod = loop.create_task(producer(q, num_consumers)) 

									 # Wait for all of the coroutines to finish. 

									 await asyncio.wait(consumers + [prod]) 

									event_loop = asyncio.get_event_loop() 

									try: 

									 event_loop.run_until_complete(main(event_loop, 2)) 

									finally: 

									 event_loop.close()

輸出如下：

									consumer 0: starting

									consumer 0: waiting for item

									consumer 1: starting

									consumer 1: waiting for item

									producer: starting

									producer: added task 0 to the queue

									producer: added task 1 to the queue

									consumer 0: has item 0

									consumer 1: has item 1

									producer: added task 2 to the queue

									producer: added task 3 to the queue

									consumer 0: waiting for item

									consumer 0: has item 2

									producer: added task 4 to the queue

									consumer 1: waiting for item

									consumer 1: has item 3

									producer: added task 5 to the queue

									producer: adding stop signals to the queue

									consumer 0: waiting for item

									consumer 0: has item 4

									consumer 1: waiting for item

									consumer 1: has item 5

									producer: waiting for queue to empty

									consumer 0: waiting for item

									consumer 0: has item None

									consumer 0: ending

									consumer 1: waiting for item

									consumer 1: has item None

									consumer 1: ending

									producer: ending