WHAT - React 学习系列(六)- Managing state

Overview

As your application grows, it helps to be more intentional about how your state is organized and how the data flows between your components.

In this chapter, you'll learn how to structure your state well, how to keep your state update logic maintainable, and how to share state between distant components.

Reacting to input with state

With React, you won't modify the UI from code directly. For example, you won't write commands like "disable the button", "enable the button", "show the success message", etc. Instead, you will describe the UI you want to see for the different visual states of your component ("initial state", "typing state", "success state"), and then trigger the state changes in response to user input.

Choosing the state structure

The most important principle is that state shouldn't contain redundant or duplicated information. If there's unnecessary state, it's easy to forget to update it, and introduce bugs!

For example, this form has a redundant fullName state variable:

javascript 复制代码
  const [firstName, setFirstName] = useState('');
  const [lastName, setLastName] = useState('');
  const [fullName, setFullName] = useState('');

You can remove it and simplify the code by calculating fullName while the component is rendering:

javascript 复制代码
  const [firstName, setFirstName] = useState('');
  const [lastName, setLastName] = useState('');
  const fullName = firstName + ' ' + lastName;

This might seem like a small change, but many bugs in React apps are fixed this way.

Sharing state between components & lifting state up

Sometimes, you want the state of two components to always change together. To do it, remove state from both of them, move it to their closest common parent, and then pass it down to them via props.

This is known as "lifting state up", and it's one of the most common things you will do writing React code.

Preserving and resetting state

When you re-render a component, React needs to decide which parts of the tree to keep (and update), and which parts to discard or re-create from scratch.

By default, React preserves the parts of the tree that "match up" with the previously rendered component tree.

React lets you override the default behavior, and force a component to reset its state by passing it a different key. This tells React that if the recipient is different, it should be considered a different Chat component that needs to be re-created from scratch with the new data (and UI like inputs).

javascript 复制代码
const contacts = [
  { name: 'Taylor', email: 'taylor@mail.com' },
  { name: 'Alice', email: 'alice@mail.com' },
  { name: 'Bob', email: 'bob@mail.com' }
];
const [to, setTo] = useState(contacts[0]);

<Chat contact={to} />: Typing a message and then switching the recipient does not reset the input
<Chat key={to.email} contact={to} />: Now switching between the recipients resets the input field---even though you render the same component.

Extracting state logic into a reducer

Components with many state updates spread across many event handlers can get overwhelming.

For these cases, you can consolidate all the state update logic outside your component in a single function, called "reducer". Your event handlers become concise because they only specify the user "actions"

javascript 复制代码
function tasksReducer(tasks, action) {
  switch (action.type) {
    case 'added': {
      return [...tasks, {
        id: action.id,
        text: action.text,
        done: false
      }];
    }
    case 'changed': {
      return tasks.map(t => {
        if (t.id === action.task.id) {
          return action.task;
        } else {
          return t;
        }
      });
    }
    case 'deleted': {
      return tasks.filter(t => t.id !== action.id);
    }
    default: {
      throw Error('Unknown action: ' + action.type);
    }
  }
}
const initialTasks = [
  { id: 0, text: 'Visit Kafka Museum', done: true },
  { id: 1, text: 'Watch a puppet show', done: false },
  { id: 2, text: 'Lennon Wall pic', done: false }
];

export default function TaskApp() {
  const [tasks, dispatch] = useReducer(
    tasksReducer,
    initialTasks
  );
  function handleAddTask(text) {
    dispatch({
      type: 'added',
      id: nextId++,
      text: text,
    });
  }
  function handleChangeTask(task) {
    dispatch({
      type: 'changed',
      task: task
    });
  }
  function handleDeleteTask(taskId) {
    dispatch({
      type: 'deleted',
      id: taskId
    });
  }
}

Passing data deeply with context

Usually, you will pass information from a parent component to a child component via props. But passing props can become inconvenient if you need to pass some prop through many components, or if many components need the same information.

Context lets the parent component make some information available to any component in the tree below it---no matter how deep it is---without passing it explicitly through props.

Scaling up with reducer and context

Reducers let you consolidate a component's state update logic. Context lets you pass information deep down to other components. You can combine reducers and context together to manage state of a complex screen.

With this approach, a parent component with complex state manages it with a reducer. Other components anywhere deep in the tree can read its state via context. They can also dispatch actions to update that state.

Reacting to input with state

Choosing the state structure

Sharing state between components & lifting state up

Preserving and resetting state

Extracting state logic into a reducer

Passing data deeply with context

Scaling up with reducer and context

相关推荐
●VON21 小时前
可信 AI 认证:从技术承诺到制度信任
人工智能·学习·安全·制造·von
JQLvopkk21 小时前
Vue框架技术详细介绍及阐述
前端·javascript·vue.js
笔COOL创始人21 小时前
requestAnimationFrame 动画优化实践指南
前端·javascript·面试
sophie旭21 小时前
性能监控之首屏性能监控小实践
前端·javascript·性能优化
北辰alk21 小时前
React Consumer 找不到 Provider 的处理方案
react.js
一瞬祈望21 小时前
⭐ 深度学习入门体系(第 11 篇): 卷积神经网络的卷积核是如何学习到特征的?
深度学习·学习·cnn
wdfk_prog21 小时前
[Linux]学习笔记系列 -- 底层CPU与体系结构宏
linux·笔记·学习
Amumu1213821 小时前
React 前端请求
前端·react.js·okhttp
GISer_Jing1 天前
AI Agent:学习与适应、模型上下文协议
人工智能·学习·设计模式·aigc