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FastAPI Cookbook

You're reading from   FastAPI Cookbook Develop high-performance APIs and web applications with Python

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805127857
Length 358 pages
Edition 1st Edition
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Author (1):
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Giunio De Luca Giunio De Luca
Author Profile Icon Giunio De Luca
Giunio De Luca
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Table of Contents (15) Chapters Close

Preface 1. Chapter 1: First Steps with FastAPI 2. Chapter 2: Working with Data FREE CHAPTER 3. Chapter 3: Building RESTful APIs with FastAPI 4. Chapter 4: Authentication and Authorization 5. Chapter 5: Testing and Debugging FastAPI Applications 6. Chapter 6: Integrating FastAPI with SQL Databases 7. Chapter 7: Integrating FastAPI with NoSQL Databases 8. Chapter 8: Advanced Features and Best Practices 9. Chapter 9: Working with WebSocket 10. Chapter 10: Integrating FastAPI with other Python Libraries 11. Chapter 11: Middleware and Webhooks 12. Chapter 12: Deploying and Managing FastAPI Applications 13. Index 14. Other Books You May Enjoy

Handling relationships in NoSQL databases

Unlike relational databases, NoSQL databases do not support joins or foreign keys for defining relationships between collections.

Schema-less databases, such as MongoDB, do not enforce relationships like traditional relational databases. Instead, two primary approaches can be used for handling relationships: embedding and referencing.

Embedding involves storing related data within a single document. This approach is suitable for all types of relationships, provided that the embedded data is closely tied to the parent document. This technique is good for read performance for frequently accessed data and atomic updates with a single document. However, it can easily lead to size limitation problems with data duplication and potential inconsistencies if the embedded data changes frequently.

Referencing involves storing references to related documents using their object ID or other unique identifiers. This approach is suitable for many...

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