将 multiprocessing.queue 转储到列表中-百家乐凯发k8

问题描述

我希望将 multiprocessing.queue 转储到列表中.对于该任务，我编写了以下函数:

i wish to dump a multiprocessing.queue into a list. for that task i've written the following function:

import queue
def dump_queue(queue):
    """
    empties all pending items in a queue and returns them in a list.
    """
    result = []
    # start debug code
    initial_size = queue.qsize()
    print("queue has %s items initially." % initial_size)
    # end debug code
    while true:
        try:
            thing = queue.get(block=false)
            result.append(thing)
        except queue.empty:
            # start debug code
            current_size = queue.qsize()
            total_size = current_size   len(result)
            print("dumping complete:")
            if current_size == initial_size:
                print("no items were added to the queue.")
            else:
                print("%s items were added to the queue." % 
                      (total_size - initial_size))
            print("extracted %s items from the queue, queue has %s items 
            left" % (len(result), current_size))
            # end debug code
            return result

但由于某种原因它不起作用.

but for some reason it doesn't work.

观察以下 shell 会话:

observe the following shell session:

>>> import multiprocessing
>>> q = multiprocessing.queue()
>>> for i in range(100):
...     q.put([range(200) for j in range(100)])
... 
>>> q.qsize()
100
>>> l=dump_queue(q)
queue has 100 items initially.
dumping complete:
0 items were added to the queue.
extracted 1 items from the queue, queue has 99 items left
>>> l=dump_queue(q)
queue has 99 items initially.
dumping complete:
0 items were added to the queue.
extracted 3 items from the queue, queue has 96 items left
>>> l=dump_queue(q)
queue has 96 items initially.
dumping complete:
0 items were added to the queue.
extracted 1 items from the queue, queue has 95 items left
>>> 

这里发生了什么?为什么不是所有的物品都被倾倒了?

what's happening here? why aren't all the items being dumped?

推荐答案

试试这个:

import queue
import time
def dump_queue(queue):
    """
    empties all pending items in a queue and returns them in a list.
    """
    result = []
    for i in iter(queue.get, 'stop'):
        result.append(i)
    time.sleep(.1)
    return result
import multiprocessing
q = multiprocessing.queue()
for i in range(100):
    q.put([range(200) for j in range(100)])
q.put('stop')
l=dump_queue(q)
print len(l)

多处理队列有一个内部缓冲区，该缓冲区有一个馈线线程，该线程从缓冲区中提取工作并将其刷新到管道中.如果不是所有的对象都被刷新，我可以看到 empty 过早引发的情况.使用哨兵来指示队列的结束是安全的(可靠的).此外，使用 iter(get, sentinel) 习惯用法比依赖 empty 更好.

multiprocessing queues have an internal buffer which has a feeder thread which pulls work off a buffer and flushes it to the pipe. if not all of the objects have been flushed, i could see a case where empty is raised prematurely. using a sentinel to indicate the end of the queue is safe (and reliable). also, using the iter(get, sentinel) idiom is just better than relying on empty.

我不喜欢它可能由于刷新时间而升空(我添加了 time.sleep(.1) 以允许上下文切换到馈线线程，您可能不需要它，没有它它也可以工作 - 它是释放 gil 的习惯).

i don't like that it could raise empty due to flushing timing (i added the time.sleep(.1) to allow a context switch to the feeder thread, you may not need it, it works without it - it's a habit to release the gil).