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Designing Hexagonal Architecture with Java

You're reading from   Designing Hexagonal Architecture with Java An architect's guide to building maintainable and change-tolerant applications with Java and Quarkus

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801816489
Length 460 pages
Edition 1st Edition
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Davi Vieira Davi Vieira
Author Profile Icon Davi Vieira
Davi Vieira
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Architecture Fundamentals
2. Chapter 1: Why Hexagonal Architecture? FREE CHAPTER 3. Chapter 2: Wrapping Business Rules inside Domain Hexagon 4. Chapter 3: Handling Behavior with Ports and Use Cases 5. Chapter 4: Creating Adapters to Interact with the Outside World 6. Chapter 5: Exploring the Nature of Driving and Driven Operations 7. Section 2: Using Hexagons to Create a Solid Foundation
8. Chapter 6: Building the Domain Hexagon 9. Chapter 7: Building the Application Hexagon 10. Chapter 8: Building the Framework Hexagon 11. Chapter 9: Applying Dependency Inversion with Java Modules 12. Section 3: Becoming Cloud-Native
13. Chapter 10: Adding Quarkus to a Modularized Hexagonal Application 14. Chapter 11: Leveraging CDI Beans to Manage Ports and Use Cases 15. Chapter 12: Using RESTEasy Reactive to Implement Input Adapters 16. Chapter 13: Persisting Data with Output Adapters and Hibernate Reactive 17. Chapter 14: Setting Up Dockerfile and Kubernetes Objects for Cloud Deployment 18. Chapter 15: Good Design Practices for Your Hexagonal Application 19. Assessments 20. Other Books You May Enjoy

Enhancing descriptiveness with value objects

Implementing Domain-Driven Design pointed out quite well that we should use value objects to measure, quantify, or describe things from our problem domain. For example, you can describe an ID attribute with a value object instead of a long or integer value. You can wrap a double or big decimal attribute into a specific value object to express quantification more clearly.

We're not fully satisfied with just using the built-in language types to model a problem domain. To make the system more explicit about its nature and purposes, we wrap those built-in language data types—and even our own created types—into well-defined value objects.

This effort to convey meaning is based on the following two fundamental characteristics about value objects:

  • They are immutable.
  • They don't have an identity.

Suppose you have painted a picture. Imagine how strange would it be if, for some reason, after you&apos...

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