convex-schema-validator

To create a type-safe Convex database schema, model tables with explicit field validators for strings, numbers, booleans, IDs, arrays, objects, records, and unions. This ensures your application data structures remain queryable and consistently validated.

The best way to add search indexes to a Convex schema is to plan single-field, compound, and search indexes that match your specific query patterns. Use descriptive index names to maintain clarity as your application evolves.

To handle optional fields and backfills during a Convex schema migration, use staged migration strategies that preserve existing data. This approach tightens validation safely without breaking production records while columns are updated.

You need explicit field validators in Convex tables when modeling application data structures that contain optional fields, unions, records, or nested objects. Explicit schemas ensure data remains consistent and type-safe during queries.

Yes, you can update an existing column in a Convex table without breaking data by implementing phased migrations. This involves backfilling existing records and tightening validation gradually to preserve production data integrity.