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  • python Queue在两个地方

    其一:

    Source code: Lib/queue.py


    The queue module implements multi-producer, multi-consumer queues. It is especially useful in threaded programming when information must be exchanged safely between multiple threads. The Queue class in this module implements all the required locking semantics. It depends on the availability of thread support in Python; see the threading module.

    The module implements three types of queue, which differ only in the order in which the entries are retrieved. In a FIFO queue, the first tasks added are the first retrieved. In a LIFO queue, the most recently added entry is the first retrieved (operating like a stack). With a priority queue, the entries are kept sorted (using the heapq module) and the lowest valued entry is retrieved first.

    The queue module defines the following classes and exceptions:

    class queue.Queue(maxsize=0)

    Constructor for a FIFO queue. maxsize is an integer that sets the upperbound limit on the number of items that can be placed in the queue. Insertion will block once this size has been reached, until queue items are consumed. If maxsize is less than or equal to zero, the queue size is infinite.

    Queue objects (Queue, LifoQueue, or PriorityQueue) provide the public methods described below.

    Queue.qsize()

    Return the approximate size of the queue. Note, qsize() > 0 doesn’t guarantee that a subsequent get() will not block, nor will qsize() < maxsize guarantee that put() will not block.

    Queue.empty()

    Return True if the queue is empty, False otherwise. If empty() returns True it doesn’t guarantee that a subsequent call to put() will not block. Similarly, if empty() returns False it doesn’t guarantee that a subsequent call to get() will not block.

    Queue.full()

    Return True if the queue is full, False otherwise. If full() returns True it doesn’t guarantee that a subsequent call to get() will not block. Similarly, if full() returns False it doesn’t guarantee that a subsequent call to put() will not block.

    Queue.put(item, block=True, timeout=None)

    Put item into the queue. If optional args block is true and timeout is None (the default), block if necessary until a free slot is available. If timeout is a positive number, it blocks at most timeout seconds and raises the Full exception if no free slot was available within that time. Otherwise (block is false), put an item on the queue if a free slot is immediately available, else raise the Full exception (timeout is ignored in that case).

    Queue.put_nowait(item)

    Equivalent to put(item, False).

    Queue.get(block=True, timeout=None)

    Remove and return an item from the queue. If optional args block is true and timeout is None (the default), block if necessary until an item is available. If timeout is a positive number, it blocks at most timeout seconds and raises the Empty exception if no item was available within that time. Otherwise (block is false), return an item if one is immediately available, else raise the Empty exception (timeout is ignored in that case).

    Queue.get_nowait()

    Equivalent to get(False).

    Two methods are offered to support tracking whether enqueued tasks have been fully processed by daemon consumer threads.

    Queue.task_done()

    Indicate that a formerly enqueued task is complete. Used by queue consumer threads. For each get() used to fetch a task, a subsequent call to task_done() tells the queue that the processing on the task is complete.

    If a join() is currently blocking, it will resume when all items have been processed (meaning that a task_done() call was received for every item that had been put() into the queue).

    Raises a ValueError if called more times than there were items placed in the queue.

    Queue.join()

    Blocks until all items in the queue have been gotten and processed.

    The count of unfinished tasks goes up whenever an item is added to the queue. The count goes down whenever a consumer thread calls task_done() to indicate that the item was retrieved and all work on it is complete. When the count of unfinished tasks drops to zero, join() unblocks.

    Example of how to wait for enqueued tasks to be completed:

    def worker():
        while True:
            item = q.get()
            do_work(item)
            q.task_done()
    
    q = Queue()
    for i in range(num_worker_threads):
         t = Thread(target=worker)
         t.daemon = True
         t.start()
    
    for item in source():
        q.put(item)
    
    q.join()       # block until all tasks are done
    
    其二:
    class multiprocessing.Queue([maxsize])

    Returns a process shared queue implemented using a pipe and a few locks/semaphores. When a process first puts an item on the queue a feeder thread is started which transfers objects from a buffer into the pipe.

    The usual queue.Empty and queue.Full exceptions from the standard library’s queue module are raised to signal timeouts.

    Queue implements all the methods of queue.Queue except for task_done() and join().

    qsize()

    Return the approximate size of the queue. Because of multithreading/multiprocessing semantics, this number is not reliable.

    Note that this may raise NotImplementedError on Unix platforms like Mac OS X where sem_getvalue() is not implemented.

    empty()

    Return True if the queue is empty, False otherwise. Because of multithreading/multiprocessing semantics, this is not reliable.

    full()

    Return True if the queue is full, False otherwise. Because of multithreading/multiprocessing semantics, this is not reliable.

    put(obj[, block[, timeout]])

    Put obj into the queue. If the optional argument block is True (the default) and timeout is None (the default), block if necessary until a free slot is available. If timeout is a positive number, it blocks at most timeout seconds and raises the queue.Full exception if no free slot was available within that time. Otherwise (block is False), put an item on the queue if a free slot is immediately available, else raise the queue.Full exception (timeout is ignored in that case).

    put_nowait(obj)

    Equivalent to put(obj, False).

    get([block[, timeout]])

    Remove and return an item from the queue. If optional args block is True (the default) and timeout is None (the default), block if necessary until an item is available. If timeout is a positive number, it blocks at most timeout seconds and raises the queue.Empty exception if no item was available within that time. Otherwise (block is False), return an item if one is immediately available, else raise the queue.Empty exception (timeout is ignored in that case).

    get_nowait()

    Equivalent to get(False).

    multiprocessing.Queue has a few additional methods not found in queue.Queue. These methods are usually unnecessary for most code:

    close()

    Indicate that no more data will be put on this queue by the current process. The background thread will quit once it has flushed all buffered data to the pipe. This is called automatically when the queue is garbage collected.

    join_thread()

    Join the background thread. This can only be used after close() has been called. It blocks until the background thread exits, ensuring that all data in the buffer has been flushed to the pipe.

    By default if a process is not the creator of the queue then on exit it will attempt to join the queue’s background thread. The process can call cancel_join_thread() to make join_thread() do nothing.

    cancel_join_thread()

    Prevent join_thread() from blocking. In particular, this prevents the background thread from being joined automatically when the process exits – see join_thread().

    A better name for this method might be allow_exit_without_flush(). It is likely to cause enqueued data to lost, and you almost certainly will not need to use it. It is really only there if you need the current process to exit immediately without waiting to flush enqueued data to the underlying pipe, and you don’t care about lost data.

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  • 原文地址:https://www.cnblogs.com/liunnis/p/4615140.html
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