convex-migration-helper

To execute breaking schema changes in a Convex database without downtime, use a multi-deploy migration strategy following a widen-migrate-narrow workflow to ensure production stability and data integrity.

The best way to backfill large datasets during a Convex migration is leveraging the @convex-dev/migrations component with cursor-based batch processing to handle thousands of production documents safely.

You need a multi-step migration workflow for renaming fields, splitting tables, or adding required fields to existing tables containing thousands of production documents to prevent data corruption.

Yes, the Convex migration helper supports automated verification of data consistency by providing structured patterns for zero-downtime updates and ensuring data integrity throughout the transition.

Yes, you can use batch processing with TypeScript to handle complex Convex schema migrations via cursor-based pagination, allowing asynchronous data backfills between old and new data structures.

The widen-migrate-narrow workflow requires managing multiple deployments and asynchronous batch processing, meaning limitations include coordinating schema widening and narrowing phases without disrupting production stability.