Async Orm | Asynchronous Support

Introduction

Asynchronous ORM (Object-Relational Mapping) in Django allows developers to interact with the database asynchronously. This enables better performance and scalability, especially for applications that handle a large number of concurrent operations. In this tutorial, we will cover the basics of setting up and using Async ORM in Django.

Setting Up Django

First, ensure you have Django installed. If not, you can install it using pip:

pip install django

Next, create a new Django project and navigate to the project directory:

django-admin startproject async_project

cd async_project

Creating a Django App

Create a new app within your project:

python manage.py startapp async_app

Don't forget to add your new app to the INSTALLED_APPS setting in settings.py:

INSTALLED_APPS = [
    'django.contrib.admin',
    'django.contrib.auth',
    // other apps
    'async_app',
]

Defining Models

Define your models as usual in models.py:

from django.db import models

class Item(models.Model):
    name = models.CharField(max_length=100)
    description = models.TextField()

    def __str__(self):
        return self.name

Run migrations to create the database schema:

python manage.py makemigrations

python manage.py migrate

Using Async ORM

Django provides asynchronous methods to interact with the database. These methods are prefixed with async and can be used to perform CRUD operations asynchronously.

Creating Records

To create a record asynchronously, use the create method:

from async_app.models import Item
import asyncio

async def create_item():
item = await Item.objects.acreate(name='Sample Item', description='This is a sample item.')
print(item)

asyncio.run(create_item())

Reading Records

To read records asynchronously, use the aget or aall methods:

async def get_item():
item = await Item.objects.aget(id=1)
print(item)

asyncio.run(get_item())

Updating Records

To update a record asynchronously, fetch the record and then save it:

async def update_item():
    item = await Item.objects.aget(id=1)
    item.name = 'Updated Item'
    await item.asave()

asyncio.run(update_item())

Deleting Records

To delete a record asynchronously, fetch the record and then delete it:

async def delete_item():
item = await Item.objects.aget(id=1)
await item.adelete()

asyncio.run(delete_item())

Conclusion

Using Async ORM in Django can significantly improve the performance and scalability of your applications. By performing database operations asynchronously, you can handle a larger number of concurrent operations more efficiently. We hope this tutorial has provided you with a solid foundation to start using Async ORM in your Django projects.