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Mastering Immutable.js

You're reading from   Mastering Immutable.js Better JavaScript development using immutable data

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781788395113
Length 216 pages
Edition 1st Edition
Languages
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Author (1):
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Adam Boduch Adam Boduch
Author Profile Icon Adam Boduch
Adam Boduch
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Table of Contents (17) Chapters Close

Preface 1. Why Immutable.js? FREE CHAPTER 2. Creating Immutable Data 3. Persistent Changes 4. Filtering Collections and Finding Items 5. Sequences and Side-Effects 6. Sorting Collections 7. Mapping and Reducing 8. Zipping and Flattening 9. Persistent Change Detection 10. Working with Sets 11. Comparing Collections 12. Combining Collections 13. Declarative Decision Making 14. Side-Effects in User Interfaces 15. Side-Effects in Node.js 16. Immutable Architecture

Flattening collections


Collections in Immutable.js can have simple values, or they can have complex values such as other collections. These collections can in turn contain other collections, and so on. These deep structures are necessary to reflect the model of your application data. However, traversing nested hierarchies is error prone.

Avoiding recursion

When you're dealing with hierarchical data, recursion is inevitable. We write a function that calls itself when a new level in the hierarchy is discovered. This is difficult to do because these types of functions often end up being highly specialized, applying to only one situation. With Immutable.js and its persistent-change/transformation/side-effect pattern, writing recursive functions is often a dead end.

When traversing nested collections, you don't often care where you are in the hierarchy. So, if all you need is to locate a particular value, it's much simpler to traverse a flat collection.

Note

The downside to flattening collections...

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