How can I improve the performance of SQLAlchemy with async operations?

How can I improve the performance of SQLAlchemy with async operations?

To improve performance, consider using connection pooling, optimizing queries, and reducing the number of round trips to the database.

What are some common pitfalls when using SQLAlchemy async?

Common pitfalls include not using async session correctly, blocking calls in async code, and not handling exceptions properly.

Can you give me an example of a good async query?

Sure! Here's a simple example: async with session.begin(): result = await session.execute(select(User).where(User.id == user_id)).

How does connection pooling work in async SQLAlchemy?

Connection pooling allows multiple async tasks to share a pool of database connections, reducing overhead and improving performance.