java-spring

Structure your Spring Boot 3.2.x project under src/main/java/io/drizzl/platform/{service}/ with modules for config, repository, web, and model. Use @Document and @Field annotations for MongoDB entities, configure Jackson for snake_case naming via property-naming-strategy, and implement REST endpoints with path parameters for database queries to match Violet conventions.

Violet Spring services require Java 21 and Spring Boot 3.2.x with Maven-based builds. Build and run using mvn clean install spring-boot:run. This standardized stack ensures consistency across Violet services handling REST endpoints, MongoDB or PostgreSQL persistence, and snake_case serialization.

Always use path parameters for database queries rather than query strings. Implement proper null-safety checks for nested fields, apply CreatedDate and LastModifiedDate timestamps on domain models, and follow the standard Violet endpoint pattern. These conventions ensure security and consistency across REST APIs and data access layers.

Yes, Violet Spring conventions support both MongoDB (via Spring Data MongoDB with @Document annotations) and PostgreSQL (via Spring Data JPA). Choose your persistence layer based on project requirements; both follow the same project structure, snake_case serialization rules, and REST endpoint patterns.

Add @CreatedDate and @LastModifiedDate annotations to domain models for automatic temporal tracking. Implement null-safety checks for nested object fields to prevent NullPointerException errors. These patterns satisfy Violet's technical requirements for data integrity and audit trails across services.

Snake_case serialization via Jackson ensures consistent field naming across Violet services and external API contracts. This standardization improves interoperability between services, simplifies client integration, and aligns with Violet platform conventions for REST API design and MongoDB document fields.