我曾想过在不同的worker中运行consumer,但据我所知,asyncio的run_in_executor不能用于async函数,而且asyncio.Queue()不是thread-safe。发布于 11 月前 ✅ 最佳回答: 如果消费者做了一个IO-bound工作,您可以扩展它的计数。你不在乎multi-threading,因为asyncio基于non-blockingIO的思想,设计成在单个thread中工作。
catch进行捕获。try…catch不允许存在单独的try块或catch块，可存在多个catch块。try块中存放业务功能代码...
self._scheduled=new_scheduled self._timer_cancelled_count=0else:#Remove delayed calls that were cancelled from head of queue. #定时事件都有一个属性_when,代表事件发生时间,如果超时会被取消whileself._scheduledandself._scheduled[0]._cancelled: self._timer_cancelled_count-= 1handle=heapq.heappop(sel...
https://docs.python.org/3.7/library/asyncio-queue.html asyncio queues are designed to be similar to classes of thequeuemodule. Although asyncio queues are not thread-safe, they are designed to be used specifically in async/await code. Queues can be used to distribute workload between several ...
Using Debug Mode: Thread Safety # Let’s recall Part 4: Synchronous & threaded code in asyncio, particularly in the deceptive consume_sync coroutine in section Making threaded code asyncio-friendly tolerable: def consume_sync(queue, loop): while True: msg = queue.get() logging.info(f"Consum...
thread.start() class Foo: def __init__(self, loop): print("in foo init") self.queue = asyncio.Queue() asyncio.run_coroutine_threadsafe(self.consumer(self.queue), loop) async def consumer(self, queue): print("In consumer") while True: ...
AI for BusinessBig DataCareer ServicesCloudData AnalysisData EngineeringData LiteracyData ScienceData VisualizationDataLabDeep LearningMachine LearningMLOpsNatural Language Processing Browse Courses category Home Tutorials Python Asyncio: An Introduction A short introduction to asynchronous I/O with the asyncio ...
Note that the time.sleep() call is blocking, so this function must be executed in a thread. Place the data onto the Janus queue. This shows the other face of the Janus queue: sync_q, which provides the standard, blocking Queue API. Here’s the output: $ <name> Got 2 off queue ...
Start a background thread with a timer. When this timeout expires and no key was pressed in the meantime, we flush all data in the queue and call the appropriate key binding handlers. """ timeout = get_app().timeoutlen if timeout is None: return counter = self._keys_pressed async...
Thread-safe asyncio-aware queue for Python. Contribute to harpomarx/janus development by creating an account on GitHub.