convex-migrations

Zero-downtime schema migrations in Convex are executed by planning end-to-end staged transitions, adding optional fields first, progressively backfilling data, and using a migration runner to coordinate batched work safely.

To backfill data without downtime, you can use a reusable migration runner pattern that processes updates in batches, tracks progress, and ensures idempotence to preserve data integrity across releases.

Yes, you can safely remove or rename fields by executing staged transitions with rollback safety, ensuring that deprecated fields are only removed after confirming all dependent application logic has been updated.

You can create and apply indexes as part of your Convex schema migration to optimize queries and maintain consistency, coordinating the index creation within your batched migration runner workflow.

The Convex migration approach supports rollback safety and progress tracking by utilizing a reusable migration runner that ensures idempotence, tracks batched work steps, and integrates with the internal migrations API.

You need a migration runner when evolving user data models, adding or removing fields, backfilling values, or creating indexes, ensuring that batched work is coordinated and progress is tracked for safe deployments.