线程池类似于多处理池? [英] Threading pool similar to the multiprocessing Pool?

问题描述

是否存在用于工作程序线程的Pool类，类似于多处理模块的

Is there a Pool class for worker threads, similar to the multiprocessing module's Pool class?

例如，我喜欢并行化地图函数的简单方法

I like for example the easy way to parallelize a map function

def long_running_func(p):
    c_func_no_gil(p)

p = multiprocessing.Pool(4)
xs = p.map(long_running_func, range(100))

但是我希望这样做而又不增加创建新进程的开销.

however I would like to do it without the overhead of creating new processes.

我知道GIL.但是，在我的用例中，该函数将是一个IO绑定的C函数，python包装器将在实际函数调用之前为其释放GIL.

I know about the GIL. However, in my usecase, the function will be an IO-bound C function for which the python wrapper will release the GIL before the actual function call.

我必须编写自己的线程池吗?

Do I have to write my own threading pool?

推荐答案

我刚刚发现在multiprocessing模块中实际上是 一个基于线程的Pool接口，但是有些隐藏并且没有正确记录.

I just found out that there actually is a thread-based Pool interface in the multiprocessing module, however it is hidden somewhat and not properly documented.

可以通过

from multiprocessing.pool import ThreadPool

它是使用包装Python线程的虚拟Process类实现的.可以在 multiprocessing.dummy中找到此基于线程的Process类. 在文档.该虚拟模块应该提供基于线程的整个多处理接口.

It is implemented using a dummy Process class wrapping a python thread. This thread-based Process class can be found in multiprocessing.dummy which is mentioned briefly in the docs. This dummy module supposedly provides the whole multiprocessing interface based on threads.

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