convex-migrations

Zero-downtime Convex schema migrations are performed by adding new fields, backfilling data in batches, removing deprecated fields, and updating indexes while maintaining backward compatibility throughout the transition.

The best way to backfill data during a Convex schema migration is using batched backfill mutations governed by a migrations table to track progress and ensure safe recovery for large datasets.

Backward compatibility during Convex index migrations requires code changes that handle both old and new schema shapes simultaneously, allowing the application to function safely while data transitions across batches.

Yes, automating Convex data model updates requires a migrations table and internal mutations to accurately track migration progress and manage safe recovery during the backfill process.

Yes, you can rename fields without downtime in Convex by applying backward-compatible migration patterns that support both old and new field names during the batched transition period.

Batched schema migrations for large datasets require careful handling of old and new schema shapes simultaneously, limiting rapid structural changes and necessitating strict migration tracking to prevent data inconsistency.