mirror of https://github.com/python/cpython
213 lines
5.7 KiB
ReStructuredText
213 lines
5.7 KiB
ReStructuredText
.. currentmodule:: asyncio
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.. _asyncio-queues:
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======
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Queues
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======
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**Source code:** :source:`Lib/asyncio/queues.py`
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------------------------------------------------
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asyncio queues are designed to be similar to classes of the
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:mod:`queue` module. Although asyncio queues are not thread-safe,
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they are designed to be used specifically in async/await code.
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Note that methods of asyncio queues don't have a *timeout* parameter;
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use :func:`asyncio.wait_for` function to do queue operations with a
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timeout.
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See also the `Examples`_ section below.
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Queue
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=====
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.. class:: Queue(maxsize=0)
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A first in, first out (FIFO) queue.
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If *maxsize* is less than or equal to zero, the queue size is
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infinite. If it is an integer greater than ``0``, then
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``await put()`` blocks when the queue reaches *maxsize*
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until an item is removed by :meth:`get`.
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Unlike the standard library threading :mod:`queue`, the size of
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the queue is always known and can be returned by calling the
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:meth:`qsize` method.
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This class is :ref:`not thread safe <asyncio-multithreading>`.
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.. attribute:: maxsize
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Number of items allowed in the queue.
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.. method:: empty()
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Return ``True`` if the queue is empty, ``False`` otherwise.
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.. method:: full()
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Return ``True`` if there are :attr:`maxsize` items in the queue.
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If the queue was initialized with ``maxsize=0`` (the default),
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then :meth:`full()` never returns ``True``.
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.. coroutinemethod:: get()
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Remove and return an item from the queue. If queue is empty,
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wait until an item is available.
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.. method:: get_nowait()
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Return an item if one is immediately available, else raise
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:exc:`QueueEmpty`.
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.. coroutinemethod:: join()
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Block until all items in the queue have been received and processed.
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The count of unfinished tasks goes up whenever an item is added
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to the queue. The count goes down whenever a consumer coroutine calls
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:meth:`task_done` to indicate that the item was retrieved and all
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work on it is complete. When the count of unfinished tasks drops
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to zero, :meth:`join` unblocks.
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.. coroutinemethod:: put(item)
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Put an item into the queue. If the queue is full, wait until a
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free slot is available before adding the item.
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.. method:: put_nowait(item)
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Put an item into the queue without blocking.
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If no free slot is immediately available, raise :exc:`QueueFull`.
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.. method:: qsize()
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Return the number of items in the queue.
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.. method:: task_done()
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Indicate that a formerly enqueued task is complete.
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Used by queue consumers. For each :meth:`~Queue.get` used to
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fetch a task, a subsequent call to :meth:`task_done` tells the
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queue that the processing on the task is complete.
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If a :meth:`join` is currently blocking, it will resume when all
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items have been processed (meaning that a :meth:`task_done`
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call was received for every item that had been :meth:`~Queue.put`
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into the queue).
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Raises :exc:`ValueError` if called more times than there were
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items placed in the queue.
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.. deprecated-removed:: 3.8 3.10
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The ``loop`` parameter. This function has been implicitly getting the
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current running loop since 3.7. See
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:ref:`What's New in 3.10's Removed section <whatsnew310-removed>`
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for more information.
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Priority Queue
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==============
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.. class:: PriorityQueue
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A variant of :class:`Queue`; retrieves entries in priority order
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(lowest first).
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Entries are typically tuples of the form
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``(priority_number, data)``.
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LIFO Queue
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==========
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.. class:: LifoQueue
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A variant of :class:`Queue` that retrieves most recently added
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entries first (last in, first out).
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Exceptions
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==========
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.. exception:: QueueEmpty
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This exception is raised when the :meth:`~Queue.get_nowait` method
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is called on an empty queue.
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.. exception:: QueueFull
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Exception raised when the :meth:`~Queue.put_nowait` method is called
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on a queue that has reached its *maxsize*.
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Examples
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========
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.. _asyncio_example_queue_dist:
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Queues can be used to distribute workload between several
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concurrent tasks::
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import asyncio
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import random
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import time
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async def worker(name, queue):
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while True:
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# Get a "work item" out of the queue.
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sleep_for = await queue.get()
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# Sleep for the "sleep_for" seconds.
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await asyncio.sleep(sleep_for)
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# Notify the queue that the "work item" has been processed.
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queue.task_done()
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print(f'{name} has slept for {sleep_for:.2f} seconds')
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async def main():
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# Create a queue that we will use to store our "workload".
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queue = asyncio.Queue()
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# Generate random timings and put them into the queue.
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total_sleep_time = 0
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for _ in range(20):
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sleep_for = random.uniform(0.05, 1.0)
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total_sleep_time += sleep_for
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queue.put_nowait(sleep_for)
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# Create three worker tasks to process the queue concurrently.
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tasks = []
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for i in range(3):
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task = asyncio.create_task(worker(f'worker-{i}', queue))
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tasks.append(task)
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# Wait until the queue is fully processed.
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started_at = time.monotonic()
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await queue.join()
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total_slept_for = time.monotonic() - started_at
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# Cancel our worker tasks.
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for task in tasks:
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task.cancel()
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# Wait until all worker tasks are cancelled.
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await asyncio.gather(*tasks, return_exceptions=True)
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print('====')
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print(f'3 workers slept in parallel for {total_slept_for:.2f} seconds')
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print(f'total expected sleep time: {total_sleep_time:.2f} seconds')
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asyncio.run(main())
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