convex-schema-validator

You validate a Convex schema by running a validation pass against your defined model to enforce strict type definitions and catch migration issues early. This ensures proper index configurations and reduces runtime errors.

Convex schema validation does support complex types including optional fields, unions, arrays, and objects. It also handles discriminated unions for polymorphic data to ensure strict typing across your database schema.

The best way to manage Convex migrations and index configurations is by validating schemas against a defined model. This provides structured guidance for common migration paths and ensures index configurations remain consistent across schema versions.

Schema drift in Convex projects happens when database structures diverge from application expectations over time. You prevent it by applying structured schema validation to enforce strict type definitions and consistent migration strategies.

You can use strict type definitions for polymorphic data in a Convex schema by leveraging discriminated unions. The validator enforces these strict types to maintain data consistency and prevent runtime type errors.