What is the different between the get logger functions from celery.utils.log and logging?

Question

I have been trying to figure out the difference between the python logger and the celery logger, specifically the difference between the commands below, but cannot find a good answer.

I am using celery v3, with django 1.10.

from celery.utils.log import get_task_logger
logger = get_logger(__name__)
...
from celery.utils.log import get_task_logger
logger = get_task_logger(__name__)
...
import logging
logger = logging.get_logger(__name__)

The celery documentation (latest, v3.1) is very lacking on this topic. I have looked at similar questions such as this one, but it is still it unclear which to use, why to use that one, and specifically what the differences are. I am looking for a clear, concise answer.

I am also using sentry in my production environment. How does this choice affect your sentry logs? i.e. these common settings

Answer 1

From experience using get_task_logger seems to get you a few things of importance, especially with Sentry.

• Auto prepending task names to your log output
• The ability to set log handling rules at a higher level than just module (I believe it's actually setting the logger name to celery.task)
• Probably, most importantly for Sentry setup, is it hooks the logging into their log handlers which Sentry makes use of.

Important: There is a bit of extra config that needs to go into Celery registration for Sentry:

https://docs.sentry.io/clients/python/integrations/celery/

You may be able to get errors to flow into Sentry without some of this setup, but I think this will give you the best traces and details + ensure that things like expected exceptions declared via throws are properly ignored.