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.Vevb.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-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