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Schema versioning defines practices for managing and evolving data and interface schemas across a system's lifecycle. It covers version identifiers, migration paths, compatibility rules and governance to protect data integrity and support coordinated upgrades. It also enables safe rollbacks, testing and staged deployments across services.
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Schema versioning deliberately manages different states of a data or API schema and defines how changes are introduced, detected, and adopted by consumers.
Schema versioning became necessary with long-lived data formats and independently deployed services. JSON Schema documents and validates JSON structure; the practical challenge is to handle incompatible contract changes in a controlled way.
Give each schema state a traceable version and assess changes for backward and forward compatibility. Adding optional fields is often compatible, while removing or reinterpreting existing fields usually is not. A version does not migrate data by itself: producers, consumers, validation, transition periods, and retirement must be planned and observed together.
A schema change adds, removes, or alters the structure or meaning of fields.
Backward, forward, and bidirectional compatibility describe which versions can work together.
Versions require migration, coexistence, consumer checks, and a controlled retirement point.
Schema versioning protects data and API contracts from unexpected breaks. It is a change strategy, not a substitute for validation, migration, tests, or clear ownership.
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