sqlalchemy-orm

Define async SQLAlchemy ORM models for FastAPI using declarative base mappings with type hints and manage connections via AsyncSession. This approach streamlines building reliable relational data models and integrates smoothly with modern async web frameworks.

Handle database migrations with SQLAlchemy models by integrating Alembic to evolve database schemas safely. This allows you to apply and rollback relational database changes without manually writing SQL migration scripts.

Yes, you can use SQLAlchemy ORM to configure one-to-many and many-to-many relationships. It provides declarative model definitions with explicit relationship mappings to create clear, maintainable schemas for relational databases like PostgreSQL and MySQL.

SQLAlchemy ORM works with both sync and async database access patterns. You can use standard sessions for traditional Flask or Django projects, and AsyncSession for modern async frameworks like FastAPI to query relational data.

Query relational data using the modern SQLAlchemy select() statement to build type-safe queries. This method replaces legacy Query API calls, providing a cleaner interface to retrieve and filter records across your declared ORM models.