migration-helper

You can migrate Convex schemas with zero downtime by applying staged additive schema updates, running batch backfills via internal mutations, and verifying migration completeness with queries before enforcing requirements.

The best way to add a required field in Convex is to first add it as optional, run a batch backfill internal mutation to populate all existing records, verify completeness, and then update the schema to make it required.

Splitting nested arrays into relational tables in Convex requires a breaking change pattern that uses dual-write transitions and batch backfills to migrate nested data into new relational structures without losing records.

Yes, you can use cron-driven incremental processing to run batch backfills for Convex schema migrations, allowing scheduled internal mutations to safely populate large datasets over time without downtime.

Renaming a field in a Convex production database requires a staged dual-write transition pattern where you write to both old and new fields, backfill existing data, update queries, and then remove the old field.