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Accelerating Server-Side Development with Fastify

You're reading from   Accelerating Server-Side Development with Fastify A comprehensive guide to API development for building a scalable backend for your web apps

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781800563582
Length 406 pages
Edition 1st Edition
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Authors (3):
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Maksim Sinik Maksim Sinik
Author Profile Icon Maksim Sinik
Maksim Sinik
Matteo Collina Matteo Collina
Author Profile Icon Matteo Collina
Matteo Collina
Manuel Spigolon Manuel Spigolon
Author Profile Icon Manuel Spigolon
Manuel Spigolon
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Table of Contents (21) Chapters Close

Preface 1. Part 1:Fastify Basics
2. Chapter 1: What Is Fastify? FREE CHAPTER 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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