What are some effective strategies for async migrations in SQLAlchemy?

What are some effective strategies for async migrations in SQLAlchemy?

When dealing with async migrations in SQLAlchemy, consider using Alembic with async support, leveraging the asyncio library, and ensuring your database connections are properly managed.

Can you explain how Alembic works with async SQLAlchemy?

Alembic is a lightweight database migration tool for SQLAlchemy. With async SQLAlchemy, you can use Alembic's migration scripts while ensuring that your database operations are performed in an async context.

What are the common pitfalls to avoid during async migrations?

Common pitfalls include not properly managing database sessions, failing to handle async context correctly, and not testing migrations in a staging environment before production.

How can I test my async migrations?

You can test async migrations by creating a test database, running migrations in a controlled environment, and using async test frameworks like pytest-asyncio.