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Django Async Views and Database Connection Pooling guide with PostgreSQL

👀 Views: 66 đŸ’Ŧ Answers: 1 📅 Created: 2025-06-08
django asyncio postgresql Python

Could someone explain I've been struggling with this for a few days now and could really use some help. I'm working on a Django 4.2 application that utilizes async views to improve performance, but I'm working with a question when interacting with a PostgreSQL database using the async capabilities... When I execute an async view that performs multiple database queries, I often receive an behavior: `django.db.utils.InterfaceError: connection already closed`. This behavior occurs inconsistently, usually after several requests, leading me to suspect a connection pooling scenario. I've tried using `async with database_sync_to_async` to wrap my database calls, but the question continues. Here's a simplified version of my async view: ```python from django.http import JsonResponse from asgiref.sync import database_sync_to_async from .models import MyModel async def my_async_view(request): data = await database_sync_to_async(get_data)() return JsonResponse(data) @database_sync_to_async def get_data(): return list(MyModel.objects.all().values()) ``` I've also checked my PostgreSQL settings in `settings.py`, and I'm using `psycopg2` version 2.9.3 with the default connection pool settings. Furthermore, I've verified that my database connections are being closed properly after each request. Is there something specific I'm missing with the async setup or connection handling in Django? I've tried adjusting the `CONN_MAX_AGE` setting to 60, thinking it might help, but it didn't change the behavior. Any guidance on how to resolve this would be greatly appreciated! My development environment is Windows. What am I doing wrong? My development environment is Linux. Any help would be greatly appreciated! This is for a application running on Windows 10. Is there a better approach? I recently upgraded to Python 3.10.