convex-migration-helper

You can execute zero-downtime Convex schema migrations by implementing dual write and dual read approaches. This Skill plans these rollout strategies to ensure smooth transitions without downtime during field type changes or table merges.

The widen-migrate-narrow pattern for Convex data migrations involves widening the schema, backfilling existing records, and narrowing the schema. It utilizes the @convex-dev/migrations component to handle batching and pagination safely during the transition.

Yes, you can use the @convex-dev/migrations component for batching large data rollouts in Convex. It provides built-in pagination and state tracking to manage data backfills and schema changes efficiently without overwhelming the database.

The best way to plan Convex schema changes like splitting or merging tables is to map out the data migration workflow first. This Skill identifies required schema modifications and structures the execution to maintain data integrity throughout the process.

To handle field type changes in Convex without breaking queries, implement a zero-downtime dual read approach where both old and new field types are supported. This strategy allows gradual data backfilling while existing queries continue functioning normally.