如何在 Python 中使用 concurrent.futures [英] How to use concurrent.futures in Python

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
    ))

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