Js极客之路 - 优化操作（性能优化）

1．因为每次For循环都会计算一次arr.length，所以有必要存储数组长度以减少计算。针对这篇文章（http://www.crimx.com/2015/04/21/should-array-length-be-cached-or-not/），V8引擎好像已经帮我们做了不变数据的缓存，不过个人认为还是很有必要的，像他说的，假若只有V8引擎做了此事（V8开发者有这样说吗？），我们做缓存，对于V8就当帮它咯，对于其他就是优化咯。

    //bad
    var arr=[1,2,3,...];

    for(var i=0; i<arr.length; i++){
        ...code
    }

    //good
    var arr=[1,2,3,...],
        len=arr.length,
        i=0;

    for(; i<len; i++){
        ...code
    }

2．将字符串转变成数字的几种方法。

    //第一种：
    var a='12';
    console.log(typeof a);        //string
    a=parseInt(a);                //parseInt()、Math.floor()等
    console.log(typeof a);        //number

    //第二种：
    var a='12';
    a=a-0;        //-、*、/等
    console.log(typeof a);        //number

    //第三种（参考地址-http://www.w3school.com.cn/js/pro_js_operators_unary.asp）：
    var a='12';
    a = +a ;        //+、-、~等
    console.log(typeof a);        //number

    //第四种：
    var a='12';
    a = a >> 0 ;        //>>、>>>等
    console.log(typeof a);        //number

    听说第二种和第三种是性能快点，或许可以参照《将数字转变成字符串的几种方法》下别人的话。
    第四种：按位操作是在数值表示的最底层执行操作，因此速度更快。计算过程参考：
        ①：https://msdn.microsoft.com/zh-cn/library/5s9e947e(v=vs.94).aspx
        ②：http://zhidao.baidu.com/link?url=lHM_2XsAX2N3zmaDwhA8IUivdkjhBO-9RLYg-qLRfTuh7qo2wJYaEZXi5mlu4VWPMSNtBL404448uJBxrrfK_Y-E4WDdhSgg31ofHAj72nC
    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alt="" />

3．将数字转变成字符串的几种方法。

    //第一种：
    var a=100;
    console.log(typeof a);        //number
    a=a.toString();                //toString()、toFixed()等
    console.log(typeof a);        //string

    //第二种：
    var a=100;
    a=''+a;
    console.log(typeof a);        //string

    别人的话：从性能上来看，将数字转换成字符时，有如下公式：("" +) > String() > .toString() > new String()。String()属于内部函数，所以速度很快。而.toString()要查询原型中的函数，所以速度逊色一些，new String()需要重新创建一个字符串对象，速度最慢。

4．选择作用域链最短的方法：Javascript的变量采用链式作用域；读取变量的时候，先在当前作用域寻找该变量，如果找不到，就前往上一层的作用域寻找该变量；这样的设计，使得读取局部变量比读取全局变量快得多。

    //bad，假设num只在a函数里被使用
    var num=10;
    function a(){
        num++;
        ...code
    }
    a();

    //good
    function a(){
        var num=10;
        num++;
        ...code
    }
    a();

5．多个if-else执行的时候，其会顺序检索每一个条件，直到所有条件检索完或检索到匹配的条件，所以我们可以通过树的形式组织if语句（正常人应该不会这样做）。

    //bad?
    if(con === 1) {return result1;}
    else if(con === 2) {return result2;}
    else if(con === 3) {return result3;}
    else if(con === 4) {return result4;}
    else if(con === 5) {return result5;}
    else if(con === 6) {return result6;}
    else if(con === 7) {return result7;}
    else if(con === 8) {return result8;}
    else if(con === 9) {return result9;}
    这段代码就会依次判断con是否等于1,2,3,4,5,6,7,8,9，如果是9的话，就会判断9次。

    //good?
    if (con <= 3){
        if(con === 1) {return result1;}
        else if(con === 2) {return result2;}
        else {return result3;}
    } else if(con > 3 && con <= 6){
        if(con === 4) {return result4;}
        else if(con === 5) {return result5;}
        else {return result6;}
    } else if(con <= 9){
        if(con === 7) {return result7;}
        else if(con === 8) {return result8;}
        else {return result9;}
    }
    这样我们通过三叉树的形式，就可以减少查找次数了，比如这里查找9次，分别判断 0~3,3~6,6~9,7,8,9，只需要6次。
    if-else除了通过这种树形组织编码以外，还有一个优化的地方。由于其顺序判断的逻辑，我们可以根据概率来，将概率比较大的判断放在前面，概率较小的放在后面，这样也可以减少平均查找长度（这个才是人可以做的）。

6．不要在循环体中包含函数表达式，事先将函数提取到循环体外。因为循环体中的函数表达式，运行过程中会生成循环次数个函数对象。这个跟【1】是一样的道理。

    // good
    function clicker() {
        // ......
    }

    for (var i = 0, len = elements.length; i < len; i++) {
        var element = elements[i];
        addListener(element, 'click', clicker);
    }

    // bad
    for (var i = 0, len = elements.length; i < len; i++) {
        var element = elements[i];
        addListener(element, 'click', function () {});
    }

7．ECMAScript 5方法的使用。

　　ES5提供了很多新的方法，虽然老式的浏览器不支持，但现在都是HTML5时代了，所以能用ES5的方法的时候就大胆的用；有句话好像说的好：浏览器自带的方法怎么都比你用js写出来的方法高效，因为它用的更加底层的语言写的。

DOM优化：

　　1．使用DocumentFragment优化多次append？

　　也许对于老的浏览器有效（http://ejohn.org/blog/dom-documentfragments/），但是现代浏览器都优化的很好了，所以此方式已显得不为重要，过时（http://www.zhihu.com/question/30498056#answer-14749261）。

　　2．使用一次innerHTML赋值代替多次向DOM结构里添加新节点，减少DOM与JS的交互。

    //bad
    for(var i=0; i<1000; i++){
        var elem=document.createElement('p');
            elem.innerHTML=i;
        document.body.appendChild( elem );
    }

    //good
    var html=[],
        i=0;
    for(; i<1000; i++){
        html.push( '<p>'+i+'</p>' )
    }
    document.body.innerHTML+=html.join('');

　　3．减少回流或重绘(http://www.css88.com/archives/4996)。

　　　　　▊ 使用更改className的方式替换style.xxx=xxx的方式。

　　　　　▊ 使用style.cssText = '';一次写入样式。

    //bad
    var oDiv=document.getElementById('test');
    oDiv.onclick=function(){
        this.style.background='red';
        this.style.fontSize='12px';
        this.style.border='1px solid #ccc';
    }

    //good
    var oDiv=document.getElementById('test');
    oDiv.onclick=function(){
        this.className='xxx'
    }
    或者
    oDiv.onclick=function(){
        this.style.cssText='background: red; font-size: 12px; border: 1px solid #ccc;'
    }

　　4．使用事件委托的方式替代给每个元素添加事件，既可以减少子元素的事件绑定，动态添加的元素又相当于获得了相应的事件。

    例：页面有一个div(id="wrap")，div下面有100个span，现在需求是点击每个span，弹出span里的文本内容。
    //bad
    var aSpan=document.getElementById('wrap').getElementsByTagName('span'),
        len=aSpan.length,
        i=0;
    for(; i<len; i++){
        aSpan[i].onclick=function(){
            alert( this.textContent )
        }
    }

    //good
    document.getElementById('wrap').onclick=function(e){
        alert( e.target.textContent )
    }

SVG优化：

　　1．给组添加样式替代给多个子元素添加样式（引：这是一种无损优化，既可以减少文件大小又可以提高渲染速度）。

    //bad
    <rect width="20" height="20" fill="#F15C80" ></rect>
    <circle cx="40" cy="10" r="10" fill="#F15C80" ></circle>
    ...more    

    //good
    <g fill="#F15C80">
        <rect width="20" height="20" ></rect>
        <circle cx="40" cy="10" r="10" ></circle>
        ...more
    </g>

　　2．缩小精度（引：过度的准确性常见于自动生成的SVG文件中，缩放小数精度的优化效果是显而易见的，但是除去1位小数是对于文件而言是没有太大区别的。这是一个有损耗的方法来减少文件大小，加快加载速度），这个对于画图其实是有必要的，计算值往往小数位很多，而实际为了让图形显示得不模糊，我们会取整后±0.5。

    //bad
    <path d="M165.381249999999994 -.5v400" stroke="#90ED7D" stroke-width="1.2"></path>

    //good
    <path d="M165.5 -.5v400" stroke="#90ED7D" stroke-width="1.2"></path>

　　　3．创建SVG DOM元素时先设置其样式，再将其添加到父级。因为FF（开发者版本好像可以），IE不支持innerHTML添加的SVG DOM元素，所以只能用appendChild添加，此时先设置样式可以减少回流或重绘。

    //bad
    var oRect=document.createElementNS('http://www.w3.org/2000/svg','rect');
    oSvg.appendChild(oRect);
    oRect.setAttribute('width',30);
    oRect.setAttribute('height',30);

    //good
    var oRect=document.createElementNS('http://www.w3.org/2000/svg','rect');
    oRect.setAttribute('width',30);
    oRect.setAttribute('height',30);
    oSvg.appendChild(oRect);

jQuery优化：

　　　　1．缓存重复使用的jQuery对象减少查询。

    //bad
    var oP=$('#test').find('p'),
        oEm=$('#test').find('em');

    //good
    var oBox=$('#test'),
        oP=oBox.find('p'),
        oEm=oBox.find('em');

　　2．jQuery最佳实践：http://www.ruanyifeng.com/blog/2011/08/jquery_best_practices.html

逻辑优化：

　　1．函数节流，减少事件交互次数（学习地址->http://www.alloyteam.com/2012/11/javascript-throttle/）。

　　2．单例模式（学习地址->http://www.alloyteam.com/2012/10/common-javascript-design-patterns/）。

　　3．Ajax缓存。

　　4．具体场景具体分析。

性能优化总结：

　　以上内容基本是经过测试，或者说得很有道理（不知道该怎么测试），期待指正，教导。

　　性能优化，对于一些小程序或者高配置来说几乎用肉眼是感受不到的，但是对于大数据可视化、低配置、热爱极致完美的人来说，优化还是非常必要的，Perfect的感觉非“强迫症”的人不懂！

　　对于类似A && B || C 与 A ? B : C【还比如 arr.length 与 arr[0] 判断数组为空】 谁的效率更高这样的问题，做为正常人就不要去纠结咯（原文地址->http://www.zhihu.com/question/20293486）：

　　aaarticlea/png;base64,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" alt="" />

　　不同的浏览器解析方式未必相同，所以：适合自己的才是最好的。

参考：

　　http://www.codeceo.com/article/javascript-guide.html

　　http://web.jobbole.com/82381/

　　http://www.csdn.net/article/2015-01-27/2823722

　　http://segmentfault.com/a/1190000000490326#articleHeader31

　　https://github.com/ecomfe/spec/blob/master/javascript-style-guide.md

　　其他资源

相关阅读：

　　http://segmentfault.com/a/1190000000490324

　　http://blog.csdn.net/lfsf802/article/details/40628453

--继续进步，继续添加

--分享知识，铸就大我，等你指导

最后修改时间：2015-09-16