IMapIterator stuck?
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 25/100
Research direction
Start in billiard/pool.py around line 1957 and trace IMapIterator.next(), including the condition wait and lost_worker_timeout handling. Compare the behavior with the related Celery issue 4185; done means establishing whether the iterator can remain blocked and identifying the relevant behavior to report or correct.
Written by the indexing model from the issue text.
Description
I review billiard/pool.py line 1957, and I found:
self._cond = threading.Condition(threading.Lock())
......
self._lost_worker_timeout = lost_worker_timeout
......
def next(self, timeout=None):
with self._cond:
......
self._cond.wait(timeout)
......
self._cond.wait not set timeout. Is it stuck in this place ?
maybe related https://github.com/celery/celery/issues/4185
- Dominant language
- Python
- Stars
- 436
- Forks
- 273
- Avg merge
- 4d 19h
- Merged PRs (30d)
- 5
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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