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Reactive Patterns with RxJS for Angular

Reactive Patterns with RxJS for Angular

By : Lamis Chebbi
4.1 (16)
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Reactive Patterns with RxJS for Angular

Reactive Patterns with RxJS for Angular

4.1 (16)
By: Lamis Chebbi

Overview of this book

RxJS is a fast, reliable, and compact library for handling asynchronous and event-based programs. It is a first-class citizen in Angular and enables web developers to enhance application performance, code quality, and user experience, so using reactive patterns in your Angular web development projects can improve user interaction on your apps, which will significantly improve the ROI of your applications. This book is a step-by-step guide to learning everything about RxJS and reactivity. You'll begin by understanding the importance of the reactive paradigm and the new features of RxJS 7. Next, you'll discover various reactive patterns, based on real-world use cases, for managing your application’s data efficiently and implementing common features using the fewest lines of code. As you build a complete application progressively throughout the book, you'll learn how to handle your app data reactively and explore different patterns that enhance the user experience and code quality, while also improving the maintainability of Angular apps and the developer's productivity. Finally, you'll test your asynchronous streams and enhance the performance and quality of your applications by following best practices. By the end of this RxJS Angular book, you'll be able to develop Angular applications by implementing reactive patterns.
Table of Contents (19 chapters)
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1
Part 1 – Introduction
5
Part 2 – A Trip into Reactive Patterns
10
Part 3 – Multicasting Takes You to New Places
16
Part 4 – Final Touch

Learning about the reactive pattern for bulk operations

We have to consider as usual our tasks as streams. The task that we are going to perform is uploading the recipe image in the backend. So, let's imagine a stream called uploadRecipeImage$ that will take the file and the recipe identifier as input and perform an HTTP request. If we have N files to be uploaded, then we will create N streams.

We want to subscribe to all those streams together, but we are not interested in the values emitted from each stream through the process; we only care about the final result (the last emission), whether the file is uploaded successfully, or whether something wrong happens and the upload fails.

Is there an RxJS operator that gathers a list of Observables together to get a cumulative result? Yes, thankfully, we have forkJoin. Let's understand the role and behavior of this operator.

The forkJoin operator

The forkJoin operator falls under the category of combination operators...

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