如何在 Python 中使用 concurrent.futures

本文介绍了如何在 Python 中使用 concurrent.futures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

我正在努力让多线程在 Python 中工作.我有我想基于参数在 5 个线程上执行的函数.我还需要 2 个对每个线程都相同的参数.这就是我所拥有的:

Im struggling to get multithreading working in Python. I have i function which i want to execute on 5 threads based on a parameter. I also needs 2 parameters that are the same for every thread. This is what i have:

from concurrent.futures import ThreadPoolExecutor def do_something_parallel(sameValue1, sameValue2, differentValue): print(str(sameValue1)) #same everytime print(str(sameValue2)) #same everytime print(str(differentValue)) #different main(): differentValues = ["1000ms", "100ms", "10ms", "20ms", "50ms"] with ThreadPoolExecutor(max_workers=5) as executor: futures = [executor.submit(do_something_parallel, sameValue1, sameValue2, differentValue) for differentValue in differentValues]

但我不知道接下来要做什么

But i don't know what to do next

推荐答案

如果你不关心顺序，现在可以这样做:

If you don't care about the order, you can now do:

from concurrent.futures import as_completed # The rest of your code here for f in as_completed(futures): # Do what you want with f.result(), for example: print(f.result())

否则，如果您关心顺序，使用 ThreadPoolExecutor.map 和 functools.partial 来填充始终相同的参数可能是有意义的:

Otherwise, if you care about order, it might make sense to use ThreadPoolExecutor.map with functools.partial to fill in the arguments that are always the same:

from functools import partial # The rest of your code... with ThreadPoolExecutor(max_workers=5) as executor: results = executor.map( partial(do_something_parallel, sameValue1, sameValue2), differentValues ))