Book Image

Micro State Management with React Hooks

By : Daishi Kato
Book Image

Micro State Management with React Hooks

By: Daishi Kato

Overview of this book

State management is one of the most complex concepts in React. Traditionally, developers have used monolithic state management solutions. Thanks to React Hooks, micro state management is something tuned for moving your application from a monolith to a microservice. This book provides a hands-on approach to the implementation of micro state management that will have you up and running and productive in no time. You’ll learn basic patterns for state management in React and understand how to overcome the challenges encountered when you need to make the state global. Later chapters will show you how slicing a state into pieces is the way to overcome limitations. Using hooks, you'll see how you can easily reuse logic and have several solutions for specific domains, such as form state and server cache state. Finally, you'll explore how to use libraries such as Zustand, Jotai, and Valtio to organize state and manage development efficiently. By the end of this React book, you'll have learned how to choose the right global state management solution for your app requirement.
Table of Contents (16 chapters)
1
Part 1: React Hooks and Micro State Management
3
Part 2: Basic Approaches to the Global State
8
Part 3: Library Implementations and Their Uses

Chapter 8: Use Case Scenario 2 – Jotai

Jotai (https://github.com/pmndrs/jotai) is a small library for the global state. It's modeled after useState/useReducer and with what are called atoms, which are usually small pieces of state. Unlike Zustand, it is a component state, and like Zustand, it is an immutable update model. The implementation is based on the Context and Subscription patterns we learned about in Chapter 5, Sharing Component State with Context and Subscription.

In this chapter, we will learn about the basic usage of the Jotai library and how it deals with optimizing re-renders. With atoms, the library can track dependencies and trigger re-renders based on the dependencies. Because Jotai internally uses Context and atoms themselves do not hold values, atom definitions are reusable, unlike the module state. We will also discuss a novel pattern with atoms, called Atoms-in-Atom, which is a technique to optimize re-renders with an array structure.

In this...