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Reactive Patterns with RxJS for Angular

You're reading from   Reactive Patterns with RxJS for Angular A practical guide to managing your Angular application's data reactively and efficiently using RxJS 7

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801811514
Length 224 pages
Edition 1st Edition
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Author (1):
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Lamis Chebbi Lamis Chebbi
Author Profile Icon Lamis Chebbi
Lamis Chebbi
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Table of Contents (19) Chapters Close

Preface 1. Part 1 – Introduction
2. Chapter 1: The Power of the Reactive Paradigm FREE CHAPTER 3. Chapter 2: RxJS 7 – The Major Features 4. Chapter 3: A Walkthrough of the Application 5. Part 2 – A Trip into Reactive Patterns
6. Chapter 4: Fetching Data as Streams 7. Chapter 5: Error Handling 8. Chapter 6: Combining Streams 9. Chapter 7: Transforming Streams 10. Part 3 – Multicasting Takes You to New Places
11. Chapter 8: Multicasting Essentials 12. Chapter 9: Caching Streams 13. Chapter 10: Sharing Data between Components 14. Chapter 11: Bulk Operations 15. Chapter 12: Processing Real-Time Updates 16. Part 4 – Final Touch
17. Chapter 13: Testing RxJS Observables 18. Other Books You May Enjoy

Chapter 6: Combining Streams

Now that we have learned about how to use the reactive pattern to fetch data as streams and have covered the error handling patterns, let's start playing with streams. One of the most powerful utilities provided by RxJS that I have found extremely useful is the combination of streams, and this is the heart of this chapter.

This chapter revolves around a common use case, filtering data, that we will resolve by combining streams. We will start by explaining the requirement, and then we will explore the imperative, classic pattern that can be used to implement this requirement followed by a look at the declarative, reactive pattern for it.

In this chapter, we're going to cover the following main topics:

  • Defining the requirement
  • Exploring the imperative pattern for filtering data
  • Exploring the declarative pattern for filtering data
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