add-step

To create a Kotlin pipeline step, implement the step interface patterns for data transformation and input validation, using Result and AppFailure for error handling. This ensures robust validation logic and consistent step implementation across your workflow.

Structure database CRUD operations within a Kotlin pipeline step by using SafeSQL for queries, inserts, updates, and deletes. This approach provides reusable code snippets that ensure safe database interactions and transactional integrity.

Error handling for pipeline steps uses Result and AppFailure to manage failures gracefully. Returning AppFailure details within a Result object allows the pipeline to catch specific validation or database errors without crashing the application.

Yes, you can orchestrate sequential and parallel pipelines by integrating these structured step interfaces. This allows developers to combine transformation, validation, and database steps into complex workflows that execute reliably in sequence or concurrently.

Implement transactional database operations by using the SafeSQL transaction patterns provided for multiple inserts. This ensures that complex database manipulations either commit entirely or roll back, maintaining data consistency across tables.