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GraphQL Best Practices

You're reading from   GraphQL Best Practices Gain hands-on experience with schema design, security, and error handling

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835467145
Length 422 pages
Edition 1st Edition
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Author (1):
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Artur Czemiel Artur Czemiel
Author Profile Icon Artur Czemiel
Artur Czemiel
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Table of Contents (23) Chapters Close

Preface 1. Part 1 - Why GraphQL? FREE CHAPTER
2. Chapter 1: Unveiling the Holy Grail of Communication – GraphQL 3. Chapter 2: Applying an AI-Friendly Approach to GraphQL 4. Part 2 - Schema-First Design Patterns
5. Chapter 3: Crafting Effective GraphQL Schemas 6. Chapter 4: Building Pipes 7. Part 3 - Exploring Possible Ways to Use GraphQL
8. Chapter 5: Transitioning from REST to GraphQL 9. Chapter 6: Defining GraphQL Transformers 10. Chapter 7: Understanding GraphQL Federation 11. Part 4 - Advanced GraphQL
12. Chapter 8: Executing Schema-First Systems 13. Chapter 9: Working on the Frontend with GraphQL 14. Chapter 10: Keeping Data Secure 15. Chapter 11: Describing Errors in GraphQL 16. Chapter 12: Documenting your Schema 17. Chapter 13: Tackling Schemas with Visualization 18. Part 5 - From an Idea to a Working Project
19. Chapter 14: From an Idea to a Working Project – Backend Development with GraphQL and TypeScript 20. Chapter 15: From an Idea to a Working Project – Frontend Integration with GraphQL and TypeScript 21. Index 22. Other Books You May Enjoy

Unveiling the Holy Grail of Communication – GraphQL

GraphQL seemed to appear both recently and also a long time ago. We live in such times that it’s hard to define. We can definitely consider the year 2015 as the beginning of GraphQL, as that was when Facebook decided it was the right time to make GraphQL open source and available to everyone. Although GraphQL was primarily created to limit data transfer, as a side effect, it also reduced the need for extensive communication within the development team.

I became deeply interested in GraphQL technology around 2018. Since 2016, I had been trying to solve the communication problem between frontend and backend teams by building a TypeScript-based system that generated a REST application skeleton for backend developers and “enforced” them to implement a system with the appropriate types for each endpoint and return exactly what was specified by the system designer (who worked in a visual graph editor). In...

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