astro-db-patterns

Astro DB schemas are defined using the defineTable helper with type-safe column definitions. You specify columns with appropriate types (string, number, boolean, date, JSON), set primary keys, and establish relationships between tables. The Skill provides ready-made schema patterns for common domains like blogs and e-commerce to accelerate setup.

Yes, Drizzle ORM is the primary query interface for Astro DB. It provides type-safe syntax for selecting, filtering, joining, inserting, updating, and deleting data. The Skill covers Drizzle patterns for common query operations and complex scenarios with clear, ready-to-use examples.

API endpoints interact with Astro DB through Drizzle ORM queries. The Skill provides ready-made patterns for RESTful endpoints (GET, POST, PUT, DELETE) that connect your database operations to HTTP handlers, enabling seamless data retrieval and mutation through your Astro project.

Astro DB supports standard column types including string, number, boolean, and date. It also provides JSON column type for flexible data structures and specialized support for common patterns. The Skill demonstrates how to choose appropriate types for different data domains and use cases.

Development data seeding uses Drizzle ORM insert operations within seed scripts. The Skill covers patterns for populating your database with test data during project setup, enabling consistent local development environments and reliable testing workflows.

No, Astro DB abstracts SQL through Drizzle ORM's type-safe interface. The Skill teaches query patterns through Drizzle syntax rather than raw SQL, making it accessible to developers unfamiliar with traditional database query languages while maintaining type safety and clarity.