Inconsistent KeyboardInterrupt Handling in multiprocessing due to Context Manager Order
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- Python
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描述
Bug report
Bug description:
When using multiprocessing.Manager with concurrent.futures.ProcessPoolExecutor, there is a particular ordering of the context managers that results in multiprocessing.managers.py hanging in the method serve_forever, forever. This can be triggered by raising a KeyboardInterrupt while the child process(es), here something, are busy. The ordering that leads to the bug is: Manager first, then ProcessPoolExecutor inside.
import multiprocessing
from concurrent.futures import ProcessPoolExecutor
from time import sleep
def something():
sleep(10)
# Uncomment one of the following blocks
### Works correctly:
# # Interrupt with CTRL+C while `something` is busy
# # Takes just one KeyboardInterrupts to terminate fully
# with ProcessPoolExecutor() as executor:
# futures = []
# with multiprocessing.Manager() as manager:
# futures.append(executor.submit(something))
#
# for f in futures:
# f.result()
### Doesn't work correctly, will hang often, try it a few times:
# # Interrupt with CTRL+C while `something` is busy
# # Takes one KeyboardInterrupts to get stuck, and another to terminate fully
# with multiprocessing.Manager() as manager:
# with ProcessPoolExecutor() as executor:
# futures = [executor.submit(something)]
#
# for f in futures:
# f.result()
I am not too familiar with the exact inner workings of these two context managers, but as a user, there was at least nothing to make me aware that the 2nd example is bad. If it's not a bug, and just incorrect ordering, perhaps ProcessPoolExecutor could raise an exception or print a warning that it shouldn't be used inside a Manager context in such a way.
CPython versions tested on:
3.9, 3.10, 3.11, 3.12
Operating systems tested on:
Linux
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- Fork 仓库,在一个分支上完成修改。
- 提交 Pull Request,并在描述里引用这个 Issue 编号。
调研方向
首先,使用提供的 ProcessPoolExecutor 和 multiprocessing.Manager 示例复现两种上下文管理器顺序,然后检查 multiprocessing.managers.py 中的 serve_forever 以及相关的关闭路径。完成的标准是:有问题的顺序在 KeyboardInterrupt 后不再挂起,并且两种顺序都能一致地终止;issue 中没有指定测试文件。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- python
- 领域
- distributed-systems
- Issue 类型
- 缺陷
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 35/100