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Accelerating Server-Side Development with Fastify

You're reading from  Accelerating Server-Side Development with Fastify

Product type Book
Published in Jun 2023
Publisher Packt
ISBN-13 9781800563582
Pages 406 pages
Edition 1st Edition
Languages
Authors (3):
Manuel Spigolon Manuel Spigolon
Profile icon Manuel Spigolon
Maksim Sinik Maksim Sinik
Profile icon Maksim Sinik
Matteo Collina Matteo Collina
Profile icon Matteo Collina
View More author details

Table of Contents (21) Chapters

Preface 1. Part 1:Fastify Basics
2. Chapter 1: What Is Fastify? 3. Chapter 2: The Plugin System and the Boot Process 4. Chapter 3: Working with Routes 5. Chapter 4: Exploring Hooks 6. Chapter 5: Exploring Validation and Serialization 7. Part 2:Build a Real-World Project
8. Chapter 6: Project Structure and Configuration Management 9. Chapter 7: Building a RESTful API 10. Chapter 8: Authentication, Authorization, and File Handling 11. Chapter 9: Application Testing 12. Chapter 10: Deployment and Process Monitoring for a Healthy Application 13. Chapter 11: Meaningful Application Logging 14. Part 3:Advanced Topics
15. Chapter 12: From a Monolith to Microservices 16. Chapter 13: Performance Assessment and Improvement 17. Chapter 14: Developing a GraphQL API 18. Chapter 15: Type-Safe Fastify 19. Index 20. Other Books You May Enjoy

How to improve resolver performance?

If we log every SQL query hitting our database when we run the GQL request in Figure 14.4, we will count an impressive amount of 18 queries! To do so, you can update the SQLite plugin configuration to the following:

  const app = Fastify({ logger: { level: 'trace' } })
  await app.register(require('fastify-sqlite'), {
    verbose: true,
    promiseApi: true
  })

With the new configuration, you will be able to see all the SQL executions that have been run during the resolution of the GQL request, and you will see a lot of duplicated queries too:

Figure 14.5 – All SQL queries run by the family resolver

Figure 14.5 – All SQL queries run by the family resolver

This issue is called the N+1 problem, which ruins the service performance and wastes many server resources. For sure, a GraphQL server aims to provide simplicity over complexity. It deprecates the writing of big SQL queries...

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