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)


In this chapter, we started a review of the most important concepts we have learned so far and also revisited some common misconceptions about functional reactive programming and reactive extensions.

In our review, we learned the difference between map() and flatMap(),the power of the flatMap()operator, filtering data and falsy/truthy values, aggregating data, strategies to deal with backpressure, and combining observables.

Elsewhere in this chapter, we learned some new operators such as flatMapLatest(), flatMapFirst(), finally(), groupBy(), and do().

We have already learned how to combine observables; in the next chapter we will learn a new concept called a transducer. Transducers let us combine operators, which improves readability and reuse, helping us to write clearer and more concise applications using functional reactive programming.