Heroku - Python / Django R14 - 超出内存配额

Question

I am unable to delete model instances in the Django admin. When I try I get an application error with the following logs:

2017-06-01T16:49:52.582763+00:00 app[web.1]: [2017-06-01 16:49:52 +0000] [4] [CRITICAL] WORKER TIMEOUT (pid:27)
2017-06-01T16:49:53.966027+00:00 app[web.1]: [2017-06-01 16:49:53 +0000] [54] [INFO] Booting worker with pid: 54
2017-06-01T16:50:12.048171+00:00 heroku[web.1]: Process running mem=642M(125.4%)
2017-06-01T16:50:12.048339+00:00 heroku[web.1]: Error R14 (Memory quota exceeded)
2017-06-01T16:50:22.371199+00:00 heroku[router]: at=error code=H12 desc="Request timeout" method=POST path="/admin/auth/user/" request_id=e850ec27-3452-4e05-9077-00107a6dbd08 fwd="69.250.203.83" dyno=web.1 connect=1ms service=30000ms status=503 bytes=0 protocol=http
2017-06-01T16:50:23.409859+00:00 app[web.1]: [2017-06-01 16:50:23 +0000] [4] [CRITICAL] WORKER TIMEOUT (pid:45)
2017-06-01T16:50:23.676154+00:00 app[web.1]: [2017-06-01 12:50:23 +0000] [45] [INFO] Worker exiting (pid: 45)
2017-06-01T16:50:24.927345+00:00 app[web.1]: [2017-06-01 16:50:24 +0000] [63] [INFO] Booting worker with pid: 63

This is my procfile:

web: gunicorn djangoall.wsgi
worker: celery -A djangoall worker --autoscale=10,3
beat: celery -A djangoall beat -S django

Performing this action works fine in my local environment. The Heroku documentation references memory errors are language specific and does not include a Python guide.

I have looked at the number of SO questions but did not have success when I lowered workers by one (by changing --autoscale=10,3 to --autoscale=10,2) per this answer I am getting Error R14 (Memory quota exceeded) in heroku with a Django app .

Answer 1

As you said in your question, you are trying to delete model instances from your app's admin panel. Let's assume you achieve that with no memory-quota errors from Heroku, that would free up database storage space.

The error you're getting has to do with your traffic. Try spinning up another web dyno, as this is running out of memory.

Answer 2

heroku restart为我解决了这个问题。