Gunicorn worker terminated with signal 9

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Gunicorn worker terminated with signal 9

  1. 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)

  2. 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.

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I am an Information Technology Engineer. I have Completed my MCA And I have 4 Year Plus Experience, I am a web developer with knowledge of multiple back-end platforms Like PHP, Node.js, Python and frontend JavaScript frameworks Like Angular, React, and Vue.

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