Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
FastAPI Cookbook

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

Arrow left icon
Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805127857
Length 358 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Giunio De Luca Giunio De Luca
Author Profile Icon Giunio De Luca
Giunio De Luca
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. Chapter 1: First Steps with FastAPI FREE CHAPTER 2. Chapter 2: Working with Data 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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image