走一走,瞧一瞧,虚拟Dom实现在这里
为什么需要 Virtual Dom
// 假设这⾥模拟⼀个 ul,其中包含了 5 个 li
[1, 2, 3, 4, 5]
// 这⾥替换上⾯的 li
[1, 2, 5, 4]
// 删除第三个 li
ul.childNodes[2].remove()
// 将第四个 li 和第五个交换位置
let fromNode = ul.childNodes[4]
let toNode = node.childNodes[3]
let cloneFromNode = fromNode.cloneNode(true)
let cloenToNode = toNode.cloneNode(true)
ul.replaceChild(cloneFromNode, toNode)
ul.replaceChild(cloenToNode, fromNode)
export default class Element {
/**
* @param {String} tag 'div'
* @param {Object} props { class: 'item' }
* @param {Array} children [ Element1, 'text']
* @param {String} key option
*/
constructor(tag, props, children, key) {
this.tag = tag;
this.props = props;
if (Array.isArray(children)) {
this.children = children;
} else if (isString(children)) {
this.key = children;
this.children = null;
}
if (key) this.key = key;
}
// 渲染
render() {
let root = this._createElement(
this.tag,
this.props,
this.children,
this.key
);
document.body.appendChild(root);
return root;
}
create() {
return this._createElement(this.tag, this.props, this.children, this.key);
}
// 创建节点
_createElement(tag, props, child, key) {
// 通过 tag 创建节点
let el = document.createElement(tag);
// 设置节点属性
for (const key in props) {
if (props.hasOwnProperty(key)) {
const value = props[key];
el.setAttribute(key, value);
}
}
if (key) {
el.setAttribute("key", key);
}
// 递归添加⼦节点
if (child) {
child.forEach(element => {
let child;
if (element instanceof Element) {
child = this._createElement(
element.tag,
element.props,
element.children,
element.key
);
} else {
child = document.createTextNode(element);
}
el.appendChild(child);
});
}
return el;
}
}
Virtual Dom 算法简述
Virtual Dom 算法实现
树的递归
import { StateEnums, isString, move } from "./util";
import Element from "./element";
export default function diff(oldDomTree, newDomTree) {
// ⽤于记录差异
let pathchs = {};
// ⼀开始的索引为 0
dfs(oldDomTree, newDomTree, 0, pathchs);
return pathchs;
}
function dfs(oldNode, newNode, index, patches) {
// ⽤于保存⼦树的更改
let curPatches = [];
// 需要判断三种情况
// 1.没有新的节点,那么什么都不⽤做
// 2.新的节点的 tagName 和 `key` 和旧的不同,就替换
// 3.新的节点的 tagName 和 key(可能都没有) 和旧的相同,开始遍历⼦树
if (!newNode) {
} else if (newNode.tag === oldNode.tag && newNode.key === oldNode.key) {
// 判断属性是否变更
let props = diffProps(oldNode.props, newNode.props);
if (props.length) curPatches.push({ type: StateEnums.ChangeProps, props });
// 遍历⼦树
diffChildren(oldNode.children, newNode.children, index, patches);
} else {
// 节点不同,需要替换
curPatches.push({ type: StateEnums.Replace, node: newNode });
}
if (curPatches.length) {
if (patches[index]) {
patches[index] = patches[index].concat(curPatches);
} else {
patches[index] = curPatches;
}
}
}
判断属性的更改
function diffProps(oldProps, newProps) {
// 判断 Props 分以下三步骤
// 先遍历 oldProps 查看是否存在删除的属性
// 然后遍历 newProps 查看是否有属性值被修改
// 最后查看是否有属性新增
let change = [];
for (const key in oldProps) {
if (oldProps.hasOwnProperty(key) && !newProps[key]) {
change.push({
prop: key
});
}
}
for (const key in newProps) {
if (newProps.hasOwnProperty(key)) {
const prop = newProps[key];
if (oldProps[key] && oldProps[key] !== newProps[key]) {
change.push({
prop: key,
value: newProps[key]
});
} else if (!oldProps[key]) {
change.push({
prop: key,
value: newProps[key]
});
}
}
}
return change;
}
判断列表差异算法实现
function listDiff(oldList, newList, index, patches) {
// 为了遍历⽅便,先取出两个 list 的所有 keys
let oldKeys = getKeys(oldList);
let newKeys = getKeys(newList);
let changes = [];
// ⽤于保存变更后的节点数据
// 使⽤该数组保存有以下好处
// 1.可以正确获得被删除节点索引
// 2.交换节点位置只需要操作⼀遍 DOM
// 3.⽤于 `diffChildren` 函数中的判断,只需要遍历
// 两个树中都存在的节点,⽽对于新增或者删除的节点来说,完全没必要
// 再去判断⼀遍
let list = [];
oldList &&
oldList.forEach(item => {
let key = item.key;
if (isString(item)) {
key = item;
}
// 寻找新的 children 中是否含有当前节点
// 没有的话需要删除
let index = newKeys.indexOf(key);
if (index === -1) {
list.push(null);
} else list.push(key);
});
// 遍历变更后的数组
let length = list.length;
// 因为删除数组元素是会更改索引的
// 所有从后往前删可以保证索引不变
for (let i = length - 1; i >= 0; i--) {
// 判断当前元素是否为空,为空表示需要删除
if (!list[i]) {
list.splice(i, 1);
changes.push({
type: StateEnums.Remove,
index: i
});
}
}
// 遍历新的 list,判断是否有节点新增或移动
// 同时也对 `list` 做节点新增和移动节点的操作
newList &&
newList.forEach((item, i) => {
let key = item.key;
if (isString(item)) {
key = item;
}
// 寻找旧的 children 中是否含有当前节点
let index = list.indexOf(key);
// 没找到代表新节点,需要插⼊
if (index === -1 || key == null) {
changes.push({
type: StateEnums.Insert,
node: item,
index: i
});
list.splice(i, 0, key);
} else {
// 找到了,需要判断是否需要移动
if (index !== i) {
changes.push({
type: StateEnums.Move,
from: index,
to: i
});
move(list, index, i);
}
}
});
return { changes, list };
}
function getKeys(list) {
let keys = [];
let text;
list &&
list.forEach(item => {
let key;
if (isString(item)) {
key = [item];
} else if (item instanceof Element) {
key = item.key;
}
keys.push(key);
});
return keys;
}
遍历⼦元素打标识
function diffChildren(oldChild, newChild, index, patches) {
let { changes, list } = listDiff(oldChild, newChild, index, patches);
if (changes.length) {
if (patches[index]) {
patches[index] = patches[index].concat(changes);
} else {
patches[index] = changes;
}
}
// 记录上⼀个遍历过的节点
let last = null;
oldChild &&
oldChild.forEach((item, i) => {
let child = item && item.children;
if (child) {
index =
last && last.children ? index + last.children.length + 1 : index;
let keyIndex = list.indexOf(item.key);
let node = newChild[keyIndex];
// 只遍历新旧中都存在的节点,其他新增或者删除的没必要遍历
if (node) {
dfs(item, node, index, patches);
}
} else index += 1;
last = item;
});
}
渲染差异
let index = 0;
export default function patch(node, patchs) {
let changes = patchs[index];
let childNodes = node && node.childNodes;
// 这⾥的深度遍历和 diff 中是⼀样的
if (!childNodes) index += 1;
if (changes && changes.length && patchs[index]) {
changeDom(node, changes);
}
let last = null;
if (childNodes && childNodes.length) {
childNodes.forEach((item, i) => {
index =
last && last.children
? index + last.children.length + 1
: index + patch(item, patchs);
last = item;
});
}
}
function changeDom(node, changes, noChild) {
changes &&
changes.forEach(change => {
let { type } = change;
switch (type) {
case StateEnums.ChangeProps:
let { props } = change;
props.forEach(item => {
if (item.value) {
node.setAttribute(item.prop, item.value);
} else {
node.removeAttribute(item.prop);
}
});
break;
case StateEnums.Remove:
node.childNodes[change.index].remove();
break;
case StateEnums.Insert:
let dom;
if (isString(change.node)) {
dom = document.createTextNode(change.node);
} else if (change.node instanceof Element) {
dom = change.node.create();
}
node.insertBefore(dom, node.childNodes[change.index]);
break;
case StateEnums.Replace:
node.parentNode.replaceChild(change.node.create(), node);
break;
case StateEnums.Move:
let fromNode = node.childNodes[change.from];
let toNode = node.childNodes[change.to];
let cloneFromNode = fromNode.cloneNode(true);
let cloenToNode = toNode.cloneNode(true);
node.replaceChild(cloneFromNode, toNode);
node.replaceChild(cloenToNode, fromNode);
break;
default:
break;
}
});
}
Virtual Dom 算法的实现也就是以下三步
let test4 = new Element('div', { class: 'my-div' }, ['test4'])
let test5 = new Element('ul', { class: 'my-div' }, ['test5'])
let test1 = new Element('div', { class: 'my-div' }, [test4])
let test2 = new Element('div', { id: '11' }, [test5, test4])
let root = test1.render()
let pathchs = diff(test1, test2)
console.log(pathchs)
setTimeout(() => {
console.log('开始更新')
patch(root, pathchs)
console.log('结束更新') }, 1000)