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Gunicorn worker terminated with signal 9
- How to solve Gunicorn worker terminated with signal 9
I encountered the same warning message.
[WARNING] Worker with pid 71 was terminated due to signal 9
I came across this faq, which says that “A common cause of SIGKILL is when OOM killer terminates a process due to low memory condition.”
I used dmesg realized that indeed it was killed because it was running out of memory.Out of memory: Killed process 776660 (gunicorn) - Gunicorn worker terminated with signal 9
I encountered the same warning message.
[WARNING] Worker with pid 71 was terminated due to signal 9
I came across this faq, which says that “A common cause of SIGKILL is when OOM killer terminates a process due to low memory condition.”
I used dmesg realized that indeed it was killed because it was running out of memory.Out of memory: Killed process 776660 (gunicorn)
Solution 1
I encountered the same warning message.
[WARNING] Worker with pid 71 was terminated due to signal 9
I came across this faq, which says that “A common cause of SIGKILL is when OOM killer terminates a process due to low memory condition.”
I used dmesg realized that indeed it was killed because it was running out of memory.
Out of memory: Killed process 776660 (gunicorn)
Original Author Simon Of This Content
Solution 2
In our case application was taking around 5-7 minutes to load ML models and dictionaries into memory. So adding timeout period of 600 seconds solved the problem for us.
gunicorn main:app --workers 1 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:8443 --timeout 600
Original Author ACL Of This Content
Solution 3
I encountered the same warning message when I limit the docker’s memory, use like -m 3000m.
see docker-memory
and
gunicorn-Why are Workers Silently Killed?
The simple way to avoid this is set a high memory for docker or not set.
Original Author hstk Of This Content
Solution 4
I was using AWS Beanstalk to deploy my flask application and I had a similar error.
- In the log I saw:
- web: MemoryError
- [CRITICAL] WORKER TIMEOUT
- [WARNING] Worker with pid XXXXX was terminated due to signal 9
I was using the t2.micro instance and when I changed it to t2.medium my app worked fine. In addition to this I changed to the timeout in my nginx config file.
Original Author Vkey Of This Content
Conclusion
So This is all About This Tutorial. Hope This Tutorial Helped You. Thank You.
