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Python 进程池或者线程池 mul 如果任务出错，那么该线程或者进程就结束了，不会有任何提示？
wuwukai007 · 2019-09-03 14:16:23 +08:00 · 1494 次点击这是一个创建于 1897 天前的主题，其中的信息可能已经有所发展或是发生改变。
```python
from concurrent.futures import ThreadPoolExecutor as Pool
def run():
1/0
pool = Pool(max_workers=3)
for i in range(3):
pool.submit(run)
from multiprocessing import Pool, freeze_support
if __name__ == '__main__':
freeze_support()
pool = Pool(3)
for i in range(3):
pool.apply_async(run,)
pool.close()
pool.join()
```
但是如果用传统的 multiprocessing,就会在主进程中抛出错误，为什么呢？
from concurrent.futures import ThreadPoolExecutor as Pool
def run():
1/0
pool = Pool(max_workers=3)
for i in range(3):
pool.submit(run)
from multiprocessing import Pool, freeze_support
if __name__ == '__main__':
freeze_support()
pool = Pool(3)
for i in range(3):
pool.apply_async(run,)
pool.close()
pool.join()
```
但是如果用传统的 multiprocessing,就会在主进程中抛出错误，为什么呢？
 |
1
arrow8899 2019-09-03 15:25:11 +08:00
线程和进程报错都不会影响主线程
|
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