What are the best practices for using Django REST with async ORM?

What are the best practices for using Django REST with async ORM?

When using Django REST with async ORM, consider the following best practices: 1. Use async views for better performance. 2. Leverage Django's async capabilities for database queries. 3. Ensure proper error handling in async functions. 4. Optimize database connections to avoid bottlenecks.

Can you explain how to implement async views in Django REST?

To implement async views in Django REST, you can define your view functions using the async def syntax. Make sure to use await for any database queries or asynchronous tasks within these views.

What are some common pitfalls to avoid when using async ORM?

Common pitfalls include not properly managing database connections, failing to handle exceptions in async code, and mixing sync and async code, which can lead to performance issues.

How does async ORM improve performance in Django applications?

Async ORM improves performance by allowing non-blocking database operations, which means your application can handle more requests concurrently without waiting for each database call to complete.