Three Principles of Redux JS

Three Principles of Redux JS

Did you know that Redux has three principles? before we discuss the three principles that are owned by Redux, we must know first what is Redux?

Redux is a framework for JavaScript and Redux is created by Dan Abramov around June 2015.

 

Redux offers a solution to store all status in an application in one place or we call it “store”. The store is referred to as an “intermediary” for all status changes in the app. By using Redux, components can not communicate directly with each other, but all changes must go through one source which is store.

By using Redux, all components get their state. Redux makes data streams that can be more easily thought out and the components that initiate a change only relate to the shipping of their country changes with its store.

The concept of is derrived from Flux pattern, which is a design pattern that can complement with ReactJS.

Redux is Flux-like

Flux is a design pattern and not a framework,which is different from Redux, because Redux is a framework. Redux is inspired by the Flux pattern. Many people who suspect Redux are Flux or Flux-like.

You should know that Redux has three main principles:

Single Sourch of Truth

All apps are stored in a single store. This is done to facilitate the creation of universal applications, as well as to facilitate debug examination of this application and can allow to maintain the status of applications in the development process that cycle can be faster.
 

State is Read-Only

One thing that can be done to change things is by doing an action where an object can describe what happened. This can ensure that the display or the network callback can not write directly to the state. All changes are centered together. One of the actions is the ordinary object can only login, serial, save and replay the test.
 

Change are made with Pure Functions

In determining how a state tree can be changed by action, you must write a pure functions in Reducer. Reducer serves to take the previous action and restore the next state. The thing to remember is to return the object in a new state. Reducer only serves to control the order of calls and forward additional data.

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