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Modern API Development with Spring 6 and Spring Boot 3

You're reading from   Modern API Development with Spring 6 and Spring Boot 3 Design scalable, viable, and reactive APIs with REST, gRPC, and GraphQL using Java 17 and Spring Boot 3

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781804613276
Length 494 pages
Edition 2nd Edition
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Author (1):
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Sourabh Sharma Sourabh Sharma
Author Profile Icon Sourabh Sharma
Sourabh Sharma
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Table of Contents (21) Chapters Close

Preface 1. Part 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. Part 2 – Security, UI, Testing, and Deployment
8. Chapter 6: Securing REST Endpoints Using Authorization and Authentication 9. Chapter 7: Designing a User Interface 10. Chapter 8: Testing APIs 11. Chapter 9: Deployment of Web Services 12. Part 3 – gRPC, Logging, and Monitoring
13. Chapter 10: Getting Started with gRPC 14. Chapter 11: gRPC API Development and Testing 15. Chapter 12: Adding Logging and Tracing to Services 16. Part 4 – GraphQL
17. Chapter 13: Getting Started with GraphQL 18. Chapter 14: GraphQL API Development and Testing 19. Index 20. Other Books You May Enjoy

Instrumenting the GraphQL APIs

The GraphQL Java library supports the instrumentation of the GraphQL APIs. This can be used to support metrics, tracing, and logging. The DGS framework also uses it. You just must mark the instrumentation class with the Spring @Component annotation.

The instrumentation bean can be implemented using the graphql.execution. instrumentation.Instumentation interface. Here, you have to write boilerplate code, which may increase the unit test automation code for you. Another way that is much easier is to extend the SimpleInstrumentation class, which does the simple implementation for you. However, you can override the methods for custom implementation.

Let’s add instrumentation that will record the time taken by the data fetcher and complete GraphQL request processing. This metric may help you to fine-tune the performance and identify the fields that take more time to resolve.

Before adding the tracing, let’s add the custom header in the...

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