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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 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

Integrating FastAPI with Elasticsearch

Elasticsearch is a powerful search engine that provides fast and efficient full-text search, real-time analytics, and more. By integrating Elasticsearch with FastAPI, you can enable advanced search functionality, including keyword search, filtering, and aggregation. We’ll walk through the process of integrating Elasticsearch, indexing data, executing search queries, and handling search results within a FastAPI application.

In this recipe, we will create a specific endpoint for our streaming platform to enable analytics and enhance search capabilities in your web applications. Specifically, we will retrieve the top ten artists based on views from a specified country.

By the end of this recipe, you’ll be equipped with the knowledge and tools to leverage Elasticsearch for robust search functionality in your FastAPI projects.

Getting ready

To follow along with the recipe, you need a running application or to keep on working...

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