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Web API Development with ASP.NET Core 8

You're reading from   Web API Development with ASP.NET Core 8 Learn techniques, patterns, and tools for building high-performance, robust, and scalable web APIs

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781804610954
Length 804 pages
Edition 1st Edition
Languages
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Author (1):
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Xiaodi Yan Xiaodi Yan
Author Profile Icon Xiaodi Yan
Xiaodi Yan
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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Fundamentals of Web APIs 2. Chapter 2: Getting Started with ASP.NET Core Web APIs FREE CHAPTER 3. Chapter 3: ASP.NET Core Fundamentals (Part 1) 4. Chapter 4: ASP.NET Core Fundamentals (Part 2) 5. Chapter 5: Data Access in ASP.NET Core (Part 1: Entity Framework Core Fundamentals) 6. Chapter 6: Data Access in ASP.NET Core (Part 2 – Entity Relationships) 7. Chapter 7: Data Access in ASP.NET Core (Part 3: Tips) 8. Chapter 8: Security and Identity in ASP.NET Core 9. Chapter 9: Testing in ASP.NET Core (Part 1 – Unit Testing) 10. Chapter 10: Testing in ASP.NET Core (Part 2 – Integration Testing) 11. Chapter 11: Getting Started with gRPC 12. Chapter 12: Getting Started with GraphQL 13. Chapter 13: Getting Started with SignalR 14. Chapter 14: CI/CD for ASP.NET Core Using Azure Pipelines and GitHub Actions 15. Chapter 15: ASP.NET Core Web API Common Practices 16. Chapter 16: Error Handling, Monitoring, and Observability 17. Chapter 17: Cloud-Native Patterns 18. Index 19. Other Books You May Enjoy

Using data loaders

In the previous section, we learned how to integrate HotChocolate with EF Core. We also learned how to use the DbContextPool feature to fetch data in multiple resolvers. However, we found that there are many database queries for each Department object in the Teacher list. That is because the resolvers for each Department object are executed separately, querying the database by each DepartmentId property in the list. This is similar to the N+1 problem we discussed in Chapter 1. The difference is that the N+1 problem occurs on the client side in REST APIs, while it occurs on the server side in GraphQL. To solve this problem, we need to find a way to load the batch data efficiently.

HotChocolate provides a DataLoader mechanism to solve the N+1 problem. The data loader fetches data in batches from the data source. Then, the resolver can retrieve the data from the data loader, rather than querying the data source directly. The data loader will cache the data for the...

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