schema-builder

To design a Convex schema with flat ID-based relationships, you define tables using strict, type-safe validators and reference related documents by their system IDs rather than nesting objects. This approach enforces relational patterns and reduces data migration churn.

Modeling one-to-many and many-to-many relationships in Convex involves storing document IDs in arrays or single fields and applying recommended indexing strategies. This ensures efficient queries and maintains strict type safety across your schema.

You add indexes to a Convex schema by defining index definitions within your schema.ts file for fields frequently queried or used in relationship lookups. Applying the correct index strategy optimizes data retrieval and enforces validation rules.

You can migrate nested data structures to a relational Convex schema by breaking down embedded objects into separate tables and linking them using flat ID-based relationships. This process ensures strict validators and efficient index strategies are applied.

Your Convex schema needs strict type-safe validators for every table to enforce data integrity and prevent runtime errors. Defining explicit types for all fields ensures that your application handles data predictably during creation and updates.

You should update your convex/schema.ts file when creating new data models, adding tables, modifying relationships, or changing index strategies. Keeping your schema validated during these updates prevents structural errors and maintains type safety.