Opened 5 months ago

Closed 5 months ago

#35583 closed Bug (needsinfo)

asgiref.sync.sync_to_async cannot be affected by close_old_connections

Reported by: Alexandr Onufrienko Owned by:
Component: Database layer (models, ORM) Version:
Severity: Normal Keywords:
Cc: Carlton Gibson Triage Stage: Unreviewed
Has patch: no Needs documentation: no
Needs tests: no Patch needs improvement: no
Easy pickings: no UI/UX: no

Description (last modified by Alexandr Onufrienko)

Rel. to https://code.djangoproject.com/ticket/34914#comment:3
partially rel. to this implementation https://github.com/django/channels/blob/main/channels/db.py

  1. Let's assume, that we have django command, that creates a "server" that listening for a message from queue, or periodically do some job.
  2. Second point - our service have async function and requires DB calls (dummy example in _test function)
  3. let's assume. that we have Postgres DB running in docker compose - and to reproduce this bug, we should call docker compose restart db

Similar to Django itself and, for example, to Django channels https://github.com/django/channels/blob/main/channels/db.py we want to be able to close closed connection (simplest way to reproduce - DB was restarted).

Expected behavior: we are assuming, that we do same steps as we can see in Django project examples and we should see success message in logs.
Actual: we will see failure: the connection is closed

What we can see in code itself:

  1. sync_to_async class will use its own isolated ThreadPoolExecutor
  2. django connections will be created withing this ThreadPoolExecutor and will be unavailable for us (this is my assumption)

Found workaround
Calling this code will implicitly have access to hidden DB pool and will close closed connections

asyncio.run(sync_to_async(close_old_connections)())

Notes:

  1. I'm not really sure - is it a feature request or a bug (taking into account, how hard to find theoretical reason of it)
  2. I didn't dive into details of async_to_sync function/class

Code snippet for Django command

import asyncio
import time

from asgiref.sync import sync_to_async
from django.db import close_old_connections
from django.core.management.base import BaseCommand

# This can be any model
from django.contrib.auth.models import User


class Command(BaseCommand):
    def handle(self, *args, **options):
        while True:
            process_message()
            time.sleep(3)


def process_message():
    print("close_old_connections")
    close_old_connections()

    print("run test")
    try:
        test()
        print("success")
    except Exception as e:
        print("failure:", str(e))
    print("done test")


def test():
    asyncio.run(_test())


async def _test():
    """
    Synthetic case - most likely, we will use ``sync_to_async`` as decorator for part of functions
    and will use it directly for other calls ``sync_to_async``.
    """
    await User.objects.afirst()
    await sync_to_async(
        User.objects.first
    )()
    await sync_to_async(
        User.objects.first,
        thread_sensitive=False,
    )()

Change History (2)

comment:1 by Alexandr Onufrienko, 5 months ago

Description: modified (diff)

comment:2 by Natalia Bidart, 5 months ago

Cc: Carlton Gibson added
Component: UncategorizedDatabase layer (models, ORM)
Resolution: needsinfo
Status: newclosed
Type: UncategorizedBug

Hello Alexandr, thank you for your report.

From the provided description, I can't quite understand the exact issue you are reporting. Could you please describe the use case and what you're trying to achieve in detail? This will help us understand the problem better and find the right solution.

There are a few things to consider:

  1. When you said "we have django command, that creates a "server" that listening for a message from queue, or periodically do some job". This is in general against the recommended Django pattern for management commands. If you need to have a long running process, the ideal solution is to use a tool that integrates with Django and also provides the queue functionality such as Celery or any other task queue. See this relevant discussion or or this one in the Forum.
  1. We would also need details about your database configuration (CONN_MAX_AGE specifically), Django version, etc. I have tried the code sample provided with a postgresql database and I don't get the error you have reported (I do get ResourceWarning: connection <psycopg.Connection [IDLE] ...> was deleted while still open. Please use 'with' or '.close()' to close the connection).

Initially I thought this could be similar to #31905 but after some further thinking I don't think it's the case.

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