convex-migrations

Zero-downtime schema migrations on Convex are executed using a structured migration runner that processes batched backfills, tracks progress in a migrations table, and uses helper mutations to safely add, remove, or rename fields without service interruptions.

Backfilling data in batches in Convex is best handled by a migration runner pattern that processes records incrementally, minimizing timeout risks while tracking status and progress through dedicated helper mutations to ensure safe completion.

A Convex migration runner handles evolving data models by applying idempotent mutations that introduce optional fields before making them required, allowing progressive backfills and index updates without breaking existing application logic.

Yes, you can rename fields and update indexes without downtime in Convex by utilizing a batched migration runner that tracks migration status, enabling progressive schema evolution across production environments with robust error handling.

Convex schema migrations time out during large data backfills because processing massive datasets in a single transaction exceeds limits; implementing batched backfills with progress tracking resolves this by processing smaller data chunks incrementally.

Yes, a migrations table is needed to safely evolve Convex schemas because it tracks the lifecycle state of each operation, supporting idempotent runs, logging progress, and ensuring safe recovery from failures during production backfills.