convex-migration-helper

Execute zero-downtime Convex migrations by applying the widen-migrate-narrow workflow and leveraging the @convex-dev/migrations component to coordinate batched, resumable data processing. This minimizes downtime and data risk during schema changes.

The best way to backfill data during a Convex schema change is to use a cohesive migration plan that integrates batched operations. This ensures data is safely populated across existing records without causing deployment validation failures.

Handle Convex deployment validation failures by planning a structured migration for field additions, removals, or type changes. The widen-migrate-narrow pattern allows you to progressively adjust schemas and data to meet validation requirements safely.

Yes, you can split or merge Convex tables without downtime by coordinating the restructuring through a planned migration. Using the widen-migrate-narrow workflow ensures data consistency while the table structure is progressively updated.

You need the widen-migrate-narrow pattern for Convex migrations when you are adding or removing fields, changing data types, or performing table splits and merges. It allows you to widen the schema, migrate the data, and then narrow the schema safely.

Yes, the @convex-dev/migrations component supports resumable batched operations. This allows you to process large datasets safely, pause and resume progress, and verify data integrity throughout the migration execution.