Inconsistent KeyboardInterrupt Handling in multiprocessing due to Context Manager Order
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- 主要語言
- Python
- 星號
- 77.2k
- 分支
- 35.9k
- PR 合併指標
- PR 指標待擷取
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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研究方向
首先,使用提供的 ProcessPoolExecutor 和 multiprocessing.Manager 範例重現兩種內容管理器順序,然後檢查 multiprocessing.managers.py 中的 serve_forever 以及相關的關閉路徑。完成的標準是:有問題的順序在 KeyboardInterrupt 後不再掛起,且兩種順序都能一致地終止;issue 中沒有指定測試檔案。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- python
- 領域
- distributed-systems
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 基本清楚
- 新手友好度
- 35/100