SQLAlchemy ORM Expert

SQLAlchemy ORM lets you build type-safe, declarative models for tickets, users, comments, and attachments using Mapped[] type hints and rich relationship definitions. Define models with clear foreign keys and relationship strategies, then manage them through async sessions for production-scale PostgreSQL backends.

Yes. SQLAlchemy 2.0+ supports async sessions with asyncpg for PostgreSQL. Integrate async sessions as FastAPI dependencies, execute queries with await, and scale request handling without blocking I/O—ideal for high-concurrency support systems.

Use eager-loading strategies like joinedload and selectinload to fetch related objects in a single query or minimal queries. These strategies prevent N+1 problems when accessing relationships on ticket, comment, and user models.

Use Alembic for version-controlled migrations. Create migration scripts that alter tables, add columns, or update constraints, then apply them to PostgreSQL in sequence—keeping your schema in sync across development and production environments.

Pytest with pytest-asyncio fixtures lets you test async ORM operations in isolation. Write fixtures for test databases, mock sessions, and async query execution to validate model relationships, bulk operations, and type safety.

Yes. SQLAlchemy enables bulk writes for high-volume inserts and updates, and event listeners hook into session lifecycle events to enforce business logic, audit trails, or cascading operations on tickets and comments.