`multiprocessing.Pool` is incompatible with `concurrent.interpreters`
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Description
Bug report
Bug description:
Trying to create a mutliprocessing.Pool in a sub-interpreter fails due to the use of daemon threads.
How I ran into it: as an experiment, I was trying to run pytest in a sub-interpreter (on its own test suite). One of the tests is using multiprocessing.Pool and fails. (There are other failures, particularly faulthandler and readline incompatibilities, but those are unrelated to this issue).
If mutliprocessing.Pool and concurrent.interpreters are fundamentally incompatible for some reason, perhaps it can be documented.
from concurrent import interpreters
interp = interpreters.create()
interp.exec("""
import multiprocessing
pool = multiprocessing.Pool()
""")
Traceback:
Traceback (most recent call last):
File "x.py", line 5, in <module>
interp.exec("""
~~~~~~~~~~~^^^^
import multiprocessing
^^^^^^^^^^^^^^^^^^^^^^
pool = multiprocessing.Pool()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
""")
^^^^
File "/home/ran/.local/share/uv/python/cpython-3.14.0-linux-x86_64-gnu/lib/python3.14/concurrent/interpreters/__init__.py", line 212, in exec
raise ExecutionFailed(excinfo)
concurrent.interpreters.ExecutionFailed: RuntimeError: daemon threads are disabled in this interpreter
Uncaught in the interpreter:
Traceback (most recent call last):
File "<script>", line 3, in <module>
File "/home/ran/.local/share/uv/python/cpython-3.14.0-linux-x86_64-gnu/lib/python3.14/multiprocessing/context.py", line 119, in Pool
return Pool(processes, initializer, initargs, maxtasksperchild,
context=self.get_context())
File "/home/ran/.local/share/uv/python/cpython-3.14.0-linux-x86_64-gnu/lib/python3.14/multiprocessing/pool.py", line 233, in __init__
self._worker_handler.daemon = True
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ran/.local/share/uv/python/cpython-3.14.0-linux-x86_64-gnu/lib/python3.14/threading.py", line 1207, in daemon
raise RuntimeError('daemon threads are disabled in this interpreter')
RuntimeError: daemon threads are disabled in this interpreter
Link to relevant code:
I'd also note that multiprocessing.Queue uses daemon thread:
CPython versions tested on:
3.14
Operating systems tested on:
Linux
Linked PRs
- gh-140238
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the example on Python 3.14, then inspect Lib/multiprocessing/pool.py and Lib/multiprocessing/queues.py at the referenced daemon-thread code. Check linked PR gh-140238 and the surrounding concurrent.interpreters behavior before deciding whether the result should be a compatibility change or documentation; done means the incompatibility is resolved or clearly documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100