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WorkerLostError billiard.pool in mark_as_worker_lost SIGNAL 11 #8952
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It's really helpful when you provide as much detail as possible. You left the dependency version information blank and gave no details about your setup. That makes it really hard for others who are unfamiliar with your particular setup to help or diagnose the issue. Are you running on Linux or windows? Are you using recent versions of celery, kombu, etc? Is this running directly on the machine or in docker/docker compose? Help others help you. From what I've read about this issue, it's typically caused by system resource issues (e.g.: using too much memory) If you are running your workers in docker/docker compose, try running If you temporarily adjust your settings/initialization to limit resource usage (for instance, use concurrency of 1, 1 worker, and no autoscaling if you were using autoscaling), does the problem persist? |
Hi @jacklinke,
|
Experiencing the same issue in python 3.8.2 and celery 4.4.7 |
Seems like this issue might be related #7007 |
From time to time Sentry reports the exception below. I'm not sure how to replicate it and which one could be the issue.
There are some mentions that the issue could be related to
psycopg2
andpsycopg-binary2
but I do not havepsycopg2-binary
as part of the libraries installed on the server.Environment & Settings
Celery version:
celery report
Output:Steps to Reproduce
Required Dependencies
Python Packages
pip freeze
Output:Other Dependencies
N/A
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