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Django extension providing async capabilities for database and other components

Project description

Django Async Backend

🚀 Installation & Django Integration

1. Install the package

pip install django-async-backend

The current packages depend heavily on the Django version, because a large part of them is autogenerated. The goal is to stay in sync with Django's major and minor versions, for example 6.0.x, tracking whatever Django version is in use.

2. Django settings

In your settings.py, set the database engine to use the async backend

DATABASES = {
    "default": {
        "ENGINE": "django_async_backend.db.backends.postgresql",
        ...
    },
}

Make sure your Django app (and any other required apps) are listed in INSTALLED_APPS

INSTALLED_APPS = [
    ...
    "django_async_backend",
    ...
]

Connection Pooling

⚠️ Connection pooling is not supported when running under a WSGI server (including the Django development server), because WSGI creates a new event loop for each request. This prevents reliable management of connection pool state. To disable the warning, set ASYNC_BACKEND_DISABLE_POOL_WARNING=True


Middleware

When running under ASGI, add close_async_connections to MIDDLEWARE so connections are returned to the pool at the end of each request. Django's request_finished signal only closes sync connections.

MIDDLEWARE = [
    "django_async_backend.middleware.close_async_connections",
    ...
]

Connection Handler

The connection handler manages database connections for your async backend.

from django_async_backend.db import async_connections

connection = async_connections['default']

async with await connection.cursor() as cursor:
    await cursor.execute("SELECT ...")
    rows = await cursor.fetchall()

await connection.close()
  • Connections are reused and managed automatically.
  • Use await connection.close() to manually close a connection if needed.

Cursor

Async cursors provide the following methods:

  • execute
  • executemany
  • fetchone
  • fetchmany
  • fetchall
async with await connection.cursor() as cursor:
    await cursor.execute("SELECT 1")
    row = await cursor.fetchone()

Async Transactions with async_atomic

Basic Usage

Use async_atomic to run async database operations atomically. All changes inside the block are committed together; if an error occurs, all changes are rolled back.

from django_async_backend.db.transaction import async_atomic

async with async_atomic():
    await create_instance(1)
    # If no error, changes are committed
    # If error, changes are rolled back

Rollback on Error

If an exception is raised inside the block, all changes are rolled back:

async with async_atomic():
    await create_instance(1)
    raise Exception("fail")  # Nothing is committed

Nested Transactions (Savepoints)

You can nest async_atomic blocks. Each inner block creates a savepoint. If an error occurs in the inner block, only its changes are rolled back; outer changes remain.

async with async_atomic():
    await create_instance(1)
    try:
        async with async_atomic():
            await create_instance(2)
            raise Exception("fail inner")  # Only instance 2 is rolled back
    except Exception:
        pass
# Only instance 1 is in the database

Using on_commit with async transactions

You can register a callback to run after a successful transaction commit using connection.on_commit.

connection = async_connections[DEFAULT_DB_ALIAS]

async with async_atomic():
    await connection.on_commit(callback)

Writing Async Tests

AsyncioTestCase

Use for async tests that do not require database transactions.

from django_async_backend.test import AsyncioTestCase


class MyAsyncTests(AsyncioTestCase):
    async def asyncSetUp(self):
        # Setup code

    async def asyncTearDown(self):
        # Cleanup code

    async def test_something(self):
        # Your async test logic
        await do_async_stuff()

AsyncioTransactionTestCase

Use for async tests that need database transaction support (rollbacks, atomic blocks).

from django_async_backend.test import AsyncioTransactionTestCase


class MyTransactionTests(AsyncioTransactionTestCase):
    async def asyncSetUp(self):
        # Setup database

    async def asyncTearDown(self):
        # Cleanup database

    async def test_something(self):
        async with async_atomic():
            # DB operations here
            await do_db_stuff()

ORM support:

Manager:

from django.db import models, DEFAULT_DB_ALIAS
from django_async_backend.db import async_connections
from django_async_backend.db.models.manager import AsyncManager

class Book(models.Model):
    id = models.AutoField(primary_key=True)
    name = models.CharField(max_length=100)

    async_object = AsyncManager()

    class Meta:
        db_table = "books"


async def main():
    async for i in Book.async_object.all():
        print(i.id)

    await async_connections[DEFAULT_DB_ALIAS].close()
methods supported comments
Model.objects.aget
Model.objects.acreate
Model.objects.acount
Model.objects.none
Model.objects.abulk_create
Model.objects.abulk_update
Model.objects.aget_or_create
Model.objects.aupdate_or_create
Model.objects.aearliest
Model.objects.alatest
Model.objects.afirst
Model.objects.alast
Model.objects.ain_bulk
Model.objects.adelete
Model.objects.aupdate
Model.objects.aexists
Model.objects.acontains
Model.objects.aexplain
Model.objects.araw
Model.objects.all
Model.objects.filter
Model.objects.exclude
Model.objects.complex_filter
Model.objects.union
Model.objects.intersection
Model.objects.difference
Model.objects.select_related
Model.objects.select_for_update
Model.objects.prefetch_related
Model.objects.annotate
Model.objects.order_by
Model.objects.distinct
Model.objects.extra
Model.objects.reverse
Model.objects.defer
Model.objects.only
Model.objects.using
Model.objects.resolve_expression
Model.objects.ordered
Model.objects.values
Model.objects.values_list
Model.objects.dates
Model.objects.datetimes
Model.objects.alias
__aiter__
__repr__
__len__
__and__
__or__
__xor__
__getitem__
Model.objects.aiterator

RawQuerySet

Not supported ❌

Model:

methods supported comments
Model.asave
Model.aupdate
Model.adelete
...

User Model / Manager

methods supported comments
User.is_authenticated
User.is_super_user
User.objects.acreate_user
...

⚙️ Development Setup

Install pre-commit hooks:

pip install pre-commit
pre-commit install

Install dependencies:

poetry install --with dev

🧪 Running Tests

This project uses a comprehensive test suite powered by unittest.

To run tests:

docker-compose up postgres -d
DJANGO_SETTINGS_MODULE=settings poetry run python -m unittest discover -s tests

Integration tests run locally.

The django_async_backend.db.backends.postgresql backend is fully compatible with Django's default django.db.backends.postgresql backend, as it leverages the default implementation under the hood. To confirm this compatibility, run Django's test suite using the custom backend.

DATABASES = {
    "default": {
        "ENGINE": "django_async_backend.db.backends.postgresql",
        ...
    },
    "other": {
        "ENGINE": "django_async_backend.db.backends.postgresql",
        ...
    },
}

To execute them:

cd tests_django
docker-compose run --build --rm test_django_integration

DEP 0009

https://github.com/django/deps/blob/main/accepted/0009-async.rst

Whenever a new_connections() block is entered, Django sets a new context with new database connections.

To show show an example how it might looks like with a current implementation we have the independent_connection context manager.

import asyncio
from django_async_backend.db import async_connections

async def run_query():
    async with async_connections._independent_connection():
        conn = await async_connections['default']
        async with conn.cursor() as cursor:
            await cursor.execute("SELECT ...")
            return await cursor.fetchall()

results = await asyncio.gather(run_query(), run_query(), run_query())

It's just a concept that is not ready for production usage.

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