vue的keep-alive内置组件的使用也是使用了改算法,源码如下:
export default {
name: "keep-alive",
// 抽象组件属性 ,它在组件实例建立父子关系的时候会被忽略,发生在 initLifecycle 的过程中
abstract: true,
props: {
// 被缓存组件
include: patternTypes,
// 不被缓存组件
exclude: patternTypes,
// 指定缓存大小
max: [String, Number]
},
created() {
// 初始化用于存储缓存的 cache 对象
this.cache = Object.create(null);
// 初始化用于存储VNode key值的 keys 数组
this.keys = [];
},
destroyed() {
for (const key in this.cache) {
// 删除所有缓存
pruneCacheEntry(this.cache, key, this.keys);
}
},
mounted() {
// 监听缓存(include)/不缓存(exclude)组件的变化
// 在变化时,重新调整 cache
// pruneCache:遍历 cache,如果缓存的节点名称与传入的规则没有匹配上的话,就把这个节点从缓存中移除
this.$watch("include", val => {
pruneCache(this, name => matches(val, name));
});
this.$watch("exclude", val => {
pruneCache(this, name => !matches(val, name));
});
},
render() {
// 获取第一个子元素的 vnode
const slot = this.$slots.default;
const vnode: VNode = getFirstComponentChild(slot);
const componentOptions: ?VNodeComponentOptions =
vnode && vnode.componentOptions;
if (componentOptions) {
// name 不在 inlcude 中或者在 exlude 中则直接返回 vnode,否则继续进行下一步
// check pattern
const name: ?string = getComponentName(componentOptions);
const { include, exclude } = this;
if (
// not included
(include && (!name || !matches(include, name))) ||
// excluded
(exclude && name && matches(exclude, name))
) {
return vnode;
}
const { cache, keys } = this;
// 获取键,优先获取组件的 name 字段,否则是组件的 tag
const key: ?string =
vnode.key == null
? // same constructor may get registered as different local components
// so cid alone is not enough (#3269)
componentOptions.Ctor.cid +
(componentOptions.tag ? `::${componentOptions.tag}` : "")
: vnode.key;
// --------------------------------------------------
// 下面就是 LRU 算法了,
// 如果在缓存里有则调整,
// 没有则放入(长度超过 max,则淘汰最近没有访问的)
// --------------------------------------------------
// 如果命中缓存,则从缓存中获取 vnode 的组件实例,并且调整 key 的顺序放入 keys 数组的末尾
if (cache[key]) {
vnode.componentInstance = cache[key].componentInstance;
// make current key freshest
remove(keys, key);
keys.push(key);
}
// 如果没有命中缓存,就把 vnode 放进缓存
else {
cache[key] = vnode;
keys.push(key);
// prune oldest entry
// 如果配置了 max 并且缓存的长度超过了 this.max,还要从缓存中删除第一个
if (this.max && keys.length > parseInt(this.max)) {
pruneCacheEntry(cache, keys[0], keys, this._vnode);
}
}
// keepAlive标记位
vnode.data.keepAlive = true;
}
return vnode || (slot && slot[0]);
}
};
// 移除 key 缓存
function pruneCacheEntry (
cache: VNodeCache,
key: string,
keys: Array<string>,
current?: VNode
) {
const cached = cache[key]
if (cached && (!current || cached.tag !== current.tag)) {
cached.componentInstance.$destroy()
}
cache[key] = null
remove(keys, key)
}
// remove 方法(shared/util.js)
export function remove (arr: Array<any>, item: any): Array<any> | void {
if (arr.length) {
const index = arr.indexOf(item)
if (index > -1) {
return arr.splice(index, 1)
}
}
}
实现一个自己的LRU算法
lru算法 的核心api(put get)和一个size最大容器值,本质是类似队列 put实现思路 1 是否存在,存在就先删除,再添加到队头 2 不存在,容量是否满了,删除最后一个队尾,再添加队头 get实现思路: 1.有就返回,同时插入队头 2.没有返回-1 时间复杂度O(1)
class LRU {
constructor(size) {
this.cache = new Map()
this.size = size
}
put (key, val) {
//存在
if (this.cache.has(key)) {
//删除
this.cache.delete(key)
} else {
//不存在,容量是否满了
if (this.size === this.cache.size) {
//删除最后一个
this.cache.delete(this.cache.keys().next().value) //拿到队尾的元素
}
}
//插在队头
this.cache.set(key, val)
}
get (key) {
let val = this.cache.get(key)
if (!val) {
return -1
}
//访问了就需要放在队头
this.put(key, val)
return val
}
}
另一种
//定义节点类
class Node {
constructor(pre, next, value, key){
this.pre = pre;
this.next = next;
this.value = value;
this.key = key;
}
}
//定义双向链表
class DoubleList {
constructor(head, tail){
this.head = head;
this.tail = tail;
}
}
class LRUCache {
//构造函数,传入缓存容量
constructor(max){
this.max = max;
this.map = new Map();
let node = new Node(null, null, null, null);
this.doubleList = new DoubleList(node, node);
}
get(key){
let node = this.map.get(key)
if(!node){
return -1;
}else{
this.moveNode2Tail(key, node);
return node.value;
}
}
put(key, value) {
let node = this.map.get(key);
if(node){
if(!node.next){
node.value = value;
return;
}
node.pre.next = node.next;
node.next.pre = node.pre;
}
let newNode = new Node(null, null, value, key);
newNode.pre = this.doubleList.tail;
this.doubleList.tail.next = newNode;
this.doubleList.tail = newNode;
this.map.set(key, newNode);
if(this.map.size > this.max){
this.map.delete(this.doubleList.head.next.key);
this.doubleList.head.next = this.doubleList.head.next.next;
this.doubleList.head.next.pre = this.doubleList.head;
}
}
//将节点移到尾巴
moveNode2Tail(key,node){
if(!node.next){
return;
}
//删除节点
node.pre.next = node.next;
node.next.pre = node.pre;
this.map.delete(key)
//新增尾巴节点
let newNode = new Node(null, null, node.value, key);
newNode.pre = this.doubleList.tail;
this.doubleList.tail.next = newNode;
this.doubleList.tail = newNode;
this.map.set(key, newNode);
}
}
以上就是LRU算法在Vue内置组件keep-alive中的使用的详细内容,更多关于Vue LRU算法的资料请关注编程网其它相关文章!