Book Image

Mastering Reactive JavaScript

By : Erich de Souza Oliveira
Book Image

Mastering Reactive JavaScript

By: Erich de Souza Oliveira

Overview of this book

If you’re struggling to handle a large amount of data and don’t know how to improve your code readability, then reactive programming is the right solution for you. It lets you describe how your code behaves when changes happen and makes it easier to deal with real-time data. This book will teach you what reactive programming is, and how you can use it to write better applications. The book starts with the basics of reactive programming, what Reactive Extensions is, and how can you use it in JavaScript along with some reactive code using Bacon. Next, you’ll discover what an Observable and an Observer are and when to use them.You'll also find out how you can query data through operators, and how to use schedulers to react to changes. Moving on, you’ll explore the RxJs API, be introduced to the problem of data traffic (backpressure), and see how you can mitigate it. You’ll also learn about other important operators that can help improve your code readability, and you’ll see how to use transducers to compose operators. At the end of the book, you’ll get hands-on experience of using RxJs, and will create a real-time web chat using RxJs on the client and server, providing you with the complete package to master RxJs.
Table of Contents (11 chapters)

Summary


In this chapter, we learned how to apply operators to observables. This helps decouple our code and improve its testability and readability. This is the first time we used the following operators in RxJS such as map(), flatMap(), filter(), and reduce().

These are the most widely used operators in RxJS, and for this reason, they are also the most important ones. We used some of them in bacon.js, but in this chapter, we were able to have a more in-depth look at each one of them; diagrams and examples only helped us understand their usage better.

In the next chapter, we will talk about the problem of backpressure on observables and which actions we can take to mitigate this problem. We will also learn more about operators to filter data from observables.