Book Image

Flux Architecture

By : Adam Boduch
Book Image

Flux Architecture

By: Adam Boduch

Overview of this book

Whilst React has become Facebook’s poster-child for clean, complex, and modern web development, it has quietly been underpinned by its simplicity. It’s just a view. The real beauty in React is actually the architectural pattern that handles data in and out of React applications: Flux. With Flux, you’re able to build data-rich applications that engage your users, and scale to meet every demand. It is a key part of the Facebook technology stack that serves billions of users every day. This book will start by introducing the Flux pattern and help you get an understanding of what it is and how it works. After this, we’ll build real-world React applications that highlight the power and simplicity of Flux in action. Finally, we look at the landscape of Flux and explore the Alt and Redux libraries that make React and Flux developments easier. Filled with fully-worked examples and code-first explanations, by the end of the book, you'll not only have a rock solid understanding of the architecture, but will be ready to implement Flux architecture in anger.
Table of Contents (21 chapters)
Flux Architecture
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Summary


This chapter introduced you to immutability—both in the general sense of the term and from a Flux architecture viewpoint. We began the chapter with a discussion on the various ways that mutable data can break Flux. In particular, this breaks the crown jewel of any Flux architecture—unidirectional data-flow. Next, we looked at the different types of data-flow that emerge when we start mutating data outside of stores, as these are good things to look for when troubleshooting Flux architectures.

There are several ways that our code can enforce immutable data in our Flux stores, and we explored many of them. Immutable data comes at a cost—because the garbage collector constantly needs to run, blocking other JavaScript code from running, to collect all these extra copies of objects. We looked at how to minimize these extra memory allocations and how to offset the overall cost of using immutable data.

We closed the chapter by implementing several stores that used Immutable.js data structures...