Python的进程池和线程池

线程池

• 都在一个进程内 GIL 不适合密集型计算
• 共享进程资源，存在不安全的线程

from concurrent.futures import ThreadPoolExecutor


def task(n):
    return n * 2

if __name__ == '__main__':

    with ThreadPoolExecutor(max_workers=4) as executor:
        results = list(executor.map(task, range(10)))
        print(results)

进程池

• 相互隔离 资源开销较大
• 可以避开 GIL
• 进程通讯比较麻烦，线程安全

from concurrent.futures import ProcessPoolExecutor

def task(n):
    return n * 2


if __name__ == '__main__':

    with ProcessPoolExecutor(max_workers=4) as executor:
        results = list(executor.map(task, range(10)))
        print(results)