You're reading from Modern API Development with Spring and Spring Boot Design highly scalable and maintainable APIs with REST, gRPC, GraphQL, and the reactive paradigm

Product type Paperback

Published in Jun 2021

Publisher Packt

ISBN-13 9781800562479

Length 582 pages

Edition 1st Edition

Languages

Java

Tools

GraphQL

Concepts

Design

Author (1):

Sourabh Sharma

Preface

1. Section 1: RESTful Web Services

2. Chapter 1: RESTful Web Service Fundamentals FREE CHAPTER

3. Chapter 2: Spring Concepts and REST APIs

4. Chapter 3: API Specifications and Implementation

5. Chapter 4: Writing Business Logic for APIs

6. Chapter 5: Asynchronous API Design

7. Section 2: Security, UI, Testing, and Deployment

8. Chapter 6: Security (Authorization and Authentication)

9. Chapter 7: Designing a User Interface

10. Chapter 8: Testing APIs

11. Chapter 9: Deployment of Web Services

12. Section 3: gRPC, Logging, and Monitoring

13. Chapter 10: gRPC Fundamentals

14. Chapter 11: gRPC-based API Development and Testing

15. Chapter 12: Logging and Tracing

16. Section 4: GraphQL

17. Chapter 13: GraphQL Fundamentals

18. Chapter 14: GraphQL API Development and Testing

19. Assessments

20. Other Books You May Enjoy

Chapter 14 – GraphQL API Development and Testing

You should prefer a framework such as Netflix DGS in place of the graphql-java library to implement the GraphQL APIs because it bootstraps the development and avoids writing boilerplate code.
Apart from the ease of development, the framework uses graphql-java internally, therefore it keeps itself in sync with the GraphQL specification's Java implementation. It also supports developing federated GraphQL services.
It also provides plugins, the Java client, and testing utilities that help you to automate the development. The Netflix DGS framework is well tested and has been used by Netflix in production for quite some time.
A federated GraphQL service contains a single distributed graph exposed using a gateway. Clients call the gateway, which is an entry point to the system. A data graph will be distributed among multiple services and each service can maintain its own development and release cycle independently...