convex-migrations

Zero-downtime schema migrations in a Convex backend are executed through batched processing, optional fields, and a tracking table with start, update, complete, and fail mutations to apply changes without service disruption.

Backfilling data when adding new fields is best handled by a batch migration runner that processes records progressively, persists progress, and maintains safe fallbacks to ensure robust rollback capabilities if failures occur.

Yes, you can migrate indexes and evolve data models without downtime by applying progressive rollout patterns with continuous monitoring, ensuring index changes deploy instantly alongside active production traffic.

Migration failures during schema evolution are handled using an end-to-end runner pattern that tracks progress, triggers fail mutations, and ensures idempotence so batched processing can safely resume or rollback without data corruption.

Yes, a migrations tracking table is required to manage batched schema changes in Convex, providing the persistent state needed to record progress, handle failures, and ensure idempotent execution across processing batches.