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)

What is a transducer?


Transducers are composable algorithmic transformations; they provide a way to compose your operators to create a new one. They are independent of the input source and the output, and for this reason they can be applied not only to observables, but also to arrays, streams, and collections.

The transducers let you describe the operations you want to apply to an input source, this way you can create a pipeline of operations to be applied to them, without ever creating any intermediate aggregation.

You probably remember from previous chapters that, every time we apply an operator to an observable we create a new observable, so if we apply two operators to an observable we will create two extra observables, if we apply three operators to an observable we will create three extra observables, and so on. This does not happen with transducers, because you first describe all the transformations you want to apply to a source of data, so there is no need to create any intermediate...