convex-migration-helper

To add a required field to existing Convex tables without downtime, use a widen-migrate-narrow workflow. This multi-deploy pattern safely handles breaking schema changes by widening validation first, backfilling existing documents, then narrowing the schema.

Convex schema validation blocks deployments with breaking changes because it strictly enforces type checking to prevent production data corruption. You must use a multi-deploy workflow to transition field types safely without triggering validation errors.

The best way to backfill large production data in Convex is using the @convex-dev/migrations component. It provides batched, resumable, and fault-tolerant data backfills to ensure existing documents update safely without interrupting active production services.

Yes, you can split nested data into separate Convex tables without service interruption by using zero-downtime dual-read and dual-write strategies. This allows the application to query both structures simultaneously while data backfills complete in the background.

To clean up orphaned documents during a Convex schema migration, use pre-built migration patterns. These patterns integrate batched backfill processes to identify and remove isolated data safely while maintaining zero-downtime production operations.