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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 transactions and concurrency

In the realm of database management, two critical aspects govern the reliability and performance of applications: handling transactions and managing concurrency.

Transactions, encapsulating a series of database operations, are fundamental for maintaining data consistency by ensuring that changes occur as a single unit of work. Concurrency, on the other hand, addresses the challenge of managing simultaneous access to shared resources by multiple users or processes.

The relationship between transactions and concurrency becomes apparent when considering scenarios where multiple transactions may attempt to access or modify the same data concurrently. Without proper concurrency control mechanisms such as locking, transactions could interfere with each other, potentially leading to data corruption or inconsistencies.

The recipe will show how to manage transactions and concurrency with FastAPI and SQLAlchemy by emulating the process of selling...

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