Streamlining Product Management in Master-Spring-Boot-3-web-apps

In our current work on the Ryuu-no-Mi/Master-Spring-Boot-3-web-apps project, we have been focusing on hardening the backend services that handle our product catalog. While utility classes and basic CRUD operations often seem trivial, keeping them clean is essential for long-term project health.

The Challenge of Growing Services

As a project scales, the ProductService layer often becomes a dumping ground for logic that should ideally reside in the repository or within distinct domain models. We found that our service layer was becoming cluttered with redundant boilerplate, making it harder to maintain as we added more complex features.

Refactoring the Service Layer

To address this, we transitioned to a more robust implementation of the Repository Pattern. By strictly separating our business logic from our persistence logic, we ensure that the ProductService acts only as an orchestrator.

Here is a simple example of the pattern we implemented using Spring and Hibernate:

@Service
public class ProductService {
    @Autowired
    private ProductRepository repository;

    public Product create(Product product) {
        return repository.save(product);
    }

    public Product update(Long id, Product details) {
        return repository.findById(id)
            .map(p -> {
                p.setName(details.getName());
                return repository.save(p);
            }).orElseThrow();
    }
}

This approach encapsulates persistence logic. The service doesn't need to know how Hibernate saves the entity; it only knows that it must call the repository to perform the task.

Lessons Learned

1. Encapsulation is Key: By moving data access into the repository layer, we kept the service layer thin.
2. Consistency Matters: Using standard create and update naming conventions allows new team members to intuitively find logic within the service.
3. Maintainability: When the database schema changes, we only need to update the repository rather than hunting through the service logic.

By keeping our services focused, we reduce the cognitive load for developers and make the codebase significantly easier to navigate during future sprints.

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