What should I do if the multiprocessing.pool in Python cannot terminate normally?

If the multiprocessing pool doesn’t terminate properly, there are several possible solutions.

1. Stop the pool.

from multiprocessing import Pool

def func(x):
    # 任务函数

if __name__ == "__main__":
    pool = Pool()
    try:
        # 执行任务
        pool.map(func, range(10))
    finally:
        # 强制终止进程池
        pool.terminate()

1. Close the pool.
2. Wait for all processes in the Pool to finish their tasks.

from multiprocessing import Pool

def func(x):
    # 任务函数

if __name__ == "__main__":
    pool = Pool()
    try:
        # 执行任务
        pool.map(func, range(10))
    finally:
        # 关闭进程池
        pool.close()
        # 等待所有工作进程完成
        pool.join()

1. Check if the task function may potentially result in an infinite loop or deadlock situation. If such issues exist in the task function, it is necessary to fix them to ensure that the process can terminate properly.
2. Check to see if there is any other code blocking the main process from ending properly. Make sure all child processes have finished before continuing with the execution of the main process code.

The above are some common solutions, the specific method chosen depends on the specific situation.