Lightning Server Development

To build REST endpoints in Kotlin, use ModelRestEndpoints which automatically enforces CRUD permissions and authentication. Define your ServerBuilder with model-based info to expose REST endpoints with lifecycle hooks for intercepting create, change, and delete operations.

Denormalization in server development duplicates related data across tables to optimize read performance. You need cascade signals when denormalized fields must stay synchronized, triggering automatic updates across related tables whenever underlying source data changes.

Generate TypeScript and Kotlin SDKs from your REST API by defining type-safe endpoint structures within the server framework. The Lightning Server automatically produces multi-platform client SDKs, ensuring type consistency across your backend and frontend applications.

Yes, you can run background tasks and WebSockets in a Kotlin server using this framework. It provides native WebSocket support for real-time communication and allows scheduling background tasks alongside your ModelRestEndpoints.

The best way to test Kotlin server logic is to use the framework's built-in testing patterns to validate lifecycle hooks like postCreate and postChange, and verify that denormalization signals correctly cascade updates across related database tables.

Handle data consistency across related tables by leveraging denormalization signals for automatic cascade updates. The framework enforces safe error handling patterns and provides lifecycle hooks to intercept modifications before they commit, ensuring strong data integrity.