比较几种js数组求和的方法

1 执行代码

function sumRun(length) {
  // 创建数组
  var array = new Array();
  for (var i = 0; i < length; i++) {
    array.push(i * 2);
  }

  // 1 for循环 
  console.time('for');
  var sum1 = 0;
  for (var i = 0; i < array.length; i++) {
    sum1 += array[i];
  }
  console.timeEnd('for')

  // 2 forEach 
  console.time('forEach');
  var sum2 = 0;
  array.forEach(el => {
    sum2 += el;
  })
  console.timeEnd('forEach')

  // 3 归并方法reduce()和 reduceRight()
  console.time('reduce');
  var sum31 = array.reduce(function (prev, next, index, array) {
    return prev + next;
  })
  console.timeEnd('reduce')

  console.time('reduceRight');
  var sum32 = array.reduceRight(function (last, before, index, array) {
    return last + before;
  })
  console.timeEnd('reduceRight')

  // 4 eval()
  console.time('eval');
  var sum4 = eval(array.join("+"))
  console.timeEnd('eval');

  // 5 map
  console.time('map');
  var sum5 = 0;
  array.map(item => sum5 += item)
  console.timeEnd('map');

  // sum
  var sumArr = [sum1, sum2, [sum31, sum32], sum4, sum5]
  console.log(' ↓ sum1,sum2,[sum31,sum32],sum4,sum5 ↓ ')
  console.log(JSON.stringify(sumArr))
}
sumRun(10000)

2 执行结果

十位

10

map < for < reduceRight < reduce < forEach < eval

百位

100

reduce < reduceRight < for < map < forEach < eval

千位

1000

reduceRight < reduce < map < for < forEach < eval

万位

10000

forEach < reduceRight < reduce < for < map < eval

十万级

100000

reduceRight < reduce < forEach < for < map < eval

百万级

1000000

reduceRight < reduce < map < forEach < for < eval

千万级

10000000

reduce < reduceRight < forEach < for < map < eval

亿级

100000000

reduceRight < reduce < for < forEach … 浏览器崩溃

2.1 将函数中 eval 和 map 顺序调整一下重试

亿级

100000000

reduceRight < reduce < for < forEach < map … 浏览器崩溃

3 小结

1 reduce表现一直优秀、eval综合表现较差

2 在千万级时: map表现不佳

3 在百万级时:

• map约是for的6~7倍;
  
• forEach约是for的4倍;
  
• reduce约是for的1/10;
  
• eval约是map的4倍
  

4 测试心得

对于js数组求和，我觉得有人对for循环有所偏解，经过我一下午的测试，for循环性能并不比其它的要差；在百万数量级以内for和map差别不大；反而是千万级时map显得有点弱鸡；网上说eval快根本不可信；反复测试发现reduce才是最快的。

5 接下来

得空搞个曲线图表 📈来对比显示各自的性能。