convex-migrations

To perform a zero-downtime schema migration in Convex, you plan and implement safe migration steps that add, rename, or backfill fields while maintaining data integrity and service availability during deployment.

Backfilling large Convex datasets without downtime involves using migration workflows with progress tracking and rollback capabilities, ensuring data is updated safely without interrupting active services.

Yes, you can rename fields and apply index migrations across large Convex datasets by following enforced safe migration steps, ensuring type changes and index introductions occur without service interruption.

Convex schema migrations support optional rollback handling, allowing you to manage and revert migration workflows safely to maintain data integrity if issues arise during deployment.

You need a zero-downtime migration process when evolving data models require adding or renaming fields, backfilling data, or introducing indexes across large datasets while avoiding data loss and deployment downtime.

Progress tracking during a Convex migration works by monitoring the migration workflow as it applies safe type changes and backfills data, ensuring the process completes while maintaining data integrity.