convex-migrations

To add a new field to a Convex database safely, you use schema evolution strategies to introduce the field and backfill data without affecting existing records. This approach maintains data integrity during the migration.

Zero-downtime database migration in Convex is the process of evolving your database schema while keeping the application fully operational. It involves strategies for adding fields, backfilling data, and removing deprecated fields without service interruption.

You backfill data into a new Convex schema field by using Convex mutation patterns to update existing documents. This ensures newly added fields are populated with the correct default or derived data without corrupting the current user data.

Best practices for removing deprecated fields from a Convex database involve guidelines that preserve existing data during the transition. You safely phase out old schema fields without losing historical information or breaking active queries.

Yes, managing schema evolution requires knowledge of Convex schema definition and mutation patterns. Understanding these mechanisms is necessary to safely execute data backfilling and handle zero-downtime deployments.

Index management during Convex schema evolution involves applying best practices for adding and using indexes. This ensures query performance remains optimal as you introduce new fields or modify the existing database structure.