How can I optimize Django's async ORM for better performance?

How can I optimize Django's async ORM for better performance?

To optimize Django's async ORM, consider using database connection pooling, optimizing queries, and leveraging caching.

What are some specific query optimizations I can implement?

You can use select_related and prefetch_related to reduce the number of queries, and filter your queries to fetch only necessary data.

Is there a way to measure the performance improvements?

Yes, you can use Django's built-in query logging or third-party tools like Django Debug Toolbar to measure query performance.

Are there any common pitfalls to avoid when using async ORM?

Common pitfalls include not using async views properly, blocking calls in async code, and not managing database connections efficiently.