convex-schema-validator

You can validate a Convex schema by checking table definitions, fields, and relationships against strict typing rules. This process ensures correct index configurations and safe migration strategies, preventing data integrity issues across your application.

Yes, schema validation supports optional fields, unions, arrays, and discriminated unions. Defining these complex structures formally allows the validator to enforce strict typing and maintain data model consistency as your project evolves.

You enforce index configurations and migration strategies by providing detailed schema bodies and migration scripts for validation. This approach targets schema design tasks to ensure correct tables and relationships are safely migrated without data loss.

TypeScript schema validation is designed for use in CI pipelines to audit migrations and validate schemas. It requires detailed schema bodies and reports errors formally, keeping your data model consistent during continuous integration.

Validation requires comprehensive schema bodies and migration scripts to function correctly. Without detailed definitions of tables, fields, and relationships, the validator cannot enforce migration strategies or report errors effectively.