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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?
2. Chapter 1: Unveiling the Holy Grail of Communication – GraphQL FREE CHAPTER 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

The rise and fall of transformers

In this rather short section, I will try to explain why most transformer technologies are gone these days.

Transformers were a pattern that created gravity around the GraphQL ecosystem – they showed people that with GraphQL, you could define your system and execute it. Giving users the technology to write the schema, attach directives, and have the backend with the database and authorization ready was a really good feature that made GraphQL popular.

But while it was advertised that with the use of transformers, you could create your backend with GraphQL only, this was not without drawbacks. If the backend was just for really simple database operations, then you could make it with transformers, but when complexity was needed, users were forced to migrate to another technology – repelling them from transformers.

Unfortunately, some transformers failed to meet the requirements of complex use cases. They often lacked the necessary...

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