convex-schema-validator

To safely evolve a Convex schema, you enforce explicit validators and outline a structured backfill strategy. This ensures type-safe changes and preserves data integrity by applying migration-aware upgrades across existing records without disrupting your application.

The best way to add validators and indexes is drafting a migration plan that introduces explicit field validations alongside indexes for recurring query paths. This approach minimizes query impact and maintains backward compatibility during the schema evolution.

Migration-aware schema evolution handles backward compatibility by defining rules for structured upgrades and backfill strategies. It ensures new validations and indexes are applied safely across existing records, preventing disruptions to active data contracts.

You need a backfill strategy for Convex schema changes when data contracts change and existing records require updates to meet new validation rules. This strategy preserves data integrity by ensuring all persisted fields comply with the updated type-safe schema.

Yes, you can update Convex indexes with minimal query impact by applying index planning for recurring query paths within a migration plan. This ensures schema changes are structured to avoid disrupting existing application queries.