schema-compatibility-review

To check protobuf schema compatibility, analyze code changes for removed fields, added required fields, changed field types, and enum value changes that break wire contracts. This review identifies backward and forward compatibility issues across serializers and deserializers prior to deployment.

Schema compatibility review is the process of analyzing data persistence and service interoperability impacts during schema changes. You need it when modifying protobuf, JSON DTOs, Orleans grains, or database migrations to prevent silent data loss and functional breakages.

Review database migrations by analyzing change patterns for rollout sequencing and public surface impacts. This detects schema incompatibilities like removed fields or type changes that break deserializer symmetry, ensuring data persistence is maintained during deployment.

Yes, you can detect JSON DTO contract breaking changes by analyzing nine specific change patterns. This analysis flags added required fields, removed fields, and changed types that impact forward and backward compatibility, preventing functional breakages.

Automated schema compatibility checks require knowledge of schema evolution rules specific to protobuf, JSON, Orleans, and database migrations. Limitations include the inability to detect business logic failures and reliance on accurate serializer and deserializer symmetry analysis across public surfaces.