crud-completeness

Soft delete and restore API design requires marking resources as inactive rather than permanently removing them, plus dedicated endpoints to reverse the deletion. This approach maintains referential integrity and supports audit logging requirements.

Optimistic concurrency control uses version identifiers like ETags and If-Match headers to detect concurrent modifications during API updates. If the resource version changed since the client read it, the API rejects the update with a conflict error.

Consistent pagination, filtering, and sorting across CRUD endpoints requires standardized query parameter conventions and uniform response metadata. This approach ensures predictable list behavior and supports scalable bulk operations.

Production CRUD APIs need schema validation for inputs, business-rule validation for domain logic, and standardized error response formats. Using consistent error codes across all operations enables reliable client-side error handling.

Bulk CRUD operations require dedicated batch endpoints that accept array payloads for create, update, and delete actions. Responses should include per-item success or error statuses using standardized error codes.

Optimistic concurrency control is needed when multiple clients update shared resources concurrently. It prevents lost updates by detecting version conflicts and returning conflict errors when stale data is submitted.