What are some performance tips for using Async SQLAlchemy?

What are some performance tips for using Async SQLAlchemy?

To optimize performance with Async SQLAlchemy, consider using connection pooling, minimizing round trips, and leveraging batch operations.

Can you explain how connection pooling works?

Connection pooling allows you to reuse database connections instead of creating a new one for each request, reducing overhead.

What are batch operations and how do they help?

Batch operations let you execute multiple SQL statements in a single request, which can significantly reduce latency.

Are there any specific configurations I should be aware of?

Yes, ensure your database settings are optimized for async operations, such as increasing the max connections and timeout settings.