将管道/连接作为上下文arg传递给多处理Pool.apply

本文介绍了将管道/连接作为上下文arg传递给多处理Pool.apply_async()的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我想使用管道与池中的流程实例进行通信，但是出现错误:

I want to use pipes to talk to the process instances in my pool, but I'm getting an error:

让__p成为Pool()的实例:

Let __p be an instance of Pool():

(master_pipe, worker_pipe) = Pipe() self.__p.apply_async(_worker_task, (handler_info, context_info, worker_pipe))

执行此操作时，[显然，对于每个实例]都会出现以下错误:

When I execute this, I get the following error [for every instance, obviously]:

File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/multiprocessing/queues.py", line 376, in get task = get() File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/multiprocessing/queues.py", line 376, in get TypeError: Required argument 'handle' (pos 1) not found self.run() File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/multiprocessing/process.py", line 114, in run return recv() return recv() self._target(*self._args, **self._kwargs) File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/multiprocessing/pool.py", line 102, in worker TypeError: Required argument 'handle' (pos 1) not found TypeError: Required argument 'handle' (pos 1) not found task = get() File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/multiprocessing/queues.py", line 376, in get return recv() TypeError: Required argument 'handle' (pos 1) not found

该错误专门是指我尝试传递的Connection实例.如果我将其设置为无"，则工作人员会毫无错误地进行分叉.

The error is specifically referring to the Connection instance that I'm trying to pass. If I make it "None", the workers fork without error.

我不明白这一点，因为正如该文档通过示例强调的那样，我可以轻松地将相同的参数传递给Process()并使其完美运行:

I don't understand this since, as the document emphasizes through example, I can easily pass the same argument to a Process(), and have it work perfectly:

from multiprocessing import Pipe, Process def call_me(p): print("Here: %s" % (p)) (master, worker) = Pipe() p = Process(target=call_me, args=(worker,)) p.start() Here: <read-write Connection, handle 6> p.join()

推荐答案

这是一个 bug ，其中包含已在Python 3中修复.

This is a bug which has been fixed in Python 3.

最简单的解决方案是按照其他答案中的建议，通过队列的初始化程序传递队列.

Easiest solution is to pass the queue through the Pool's initializer as suggested in the other answer.