使用 javascript Array reduce() 方法有什么真正的好处吗? [英] Is there any real benefit for using javascript Array reduce() method?

问题描述

reduce() 方法的大多数用例都可以用 for 循环轻松重写.在 JSPerf 上的测试表明，reduce() 通常慢 60%-75%，具体取决于每次迭代中执行的操作.

Most use cases of the reduce() method can be easily rewritten with a for loop. And testing on JSPerf shows that reduce() is usually 60%-75% slower, depending on the operations performed inside each iteration.

那么，除了能够以函数式风格"编写代码之外，还有其他真正的理由使用 reduce() 吗?如果您可以通过编写多一点代码获得 60% 的性能提升，为什么还要使用 reduce()?

Is there any real reason to use reduce() then, other than being able to write code in a 'functional style'? If you can have a 60% performance gain by writing just a little bit more code, why would you ever use reduce()?

事实上，其他函数方法如 forEach() 和 map() 都表现出相似的性能，至少比简单的 for 循环慢 60%.

In fact, other functional methods like forEach() and map() all show similar performance, being at least 60% slower than simple for loops.

这是 JSPerf 测试的链接(带有函数调用):forloop vs forEach

Here's a link to the JSPerf test (with function calls): forloop vs forEach

推荐答案

方法的性能可能会因数据的大小而异.速度还受到编译器优化和数据预热的影响.因此，在小数据上for of 获胜，而在大数据上reduce 微不足道.

The performance of the methods may vary depending on the size of the data. Speed ​​is also affected by compiler optimization and data warm-up. Therefore on small data for of wins, and on big reduce insignificantly wins.

您可以通过运行测试亲自查看:

You can see for yourself by running the test:

const LOOP = 3

test(dataGenerator(5))
test(dataGenerator(500))
test(dataGenerator(50000))
test(dataGenerator(500000))
test(dataGenerator(5000000))

function test(dataSet) {
    let sum

    console.log('Data length:', dataSet.length)

    for (let x = 0; x < LOOP; x++) {
        sum = 0
        console.time(`${x} reduce`)
        sum = dataSet.reduce((s, d) => s += d.data, 0)
        console.timeEnd(`${x} reduce`)
    }

    for (let x = 0; x < LOOP; x++) {
        sum = 0
        console.time(`${x} map`)
        dataSet.map((i) => sum += i.data)
        console.timeEnd(`${x} map`)
    }

    for (let x = 0; x < LOOP; x++) {
        sum = 0
        console.time(`${x} for loop`)
        for (let i = 0; i < dataSet.length; i++) {
            sum += dataSet[i].data
        }
        console.timeEnd(`${x} for loop`)
    }

    for (let x = 0; x < LOOP; x++) {
        sum = 0
        console.time(`${x} for reverse`)
        for (let i = dataSet.length; i--;) {
            sum += dataSet[i].data
        }
        console.timeEnd(`${x} for reverse`)
    }

    for (let x = 0; x < LOOP; x++) {
        sum = 0
        console.time(`${x} for of`)
        for (const item of dataSet) {
            sum += item.data
        }
        console.timeEnd(`${x} for of`)
    }

    for (let x = 0; x < LOOP; x++) {
        sum = 0
        console.time(`${x} for each`)
        dataSet.forEach(element => {
            sum += element.data
        })
        console.timeEnd(`${x} for each`)
    }

    console.log()
}

function dataGenerator(rows) {
    const dataSet = []
    for (let i = 0; i < rows; i++) {
        dataSet.push({id: i, data: Math.floor(100 * Math.random())})
    }
    return dataSet
}

这些是在我的笔记本电脑上进行性能测试的结果.for 循环 不像 for reverse 和 for of 那样工作不稳定.

These are the results of a performance test on my laptop. for loop does not work stably unlike for reverse and for of.

➜  node reduce_vs_for.js 
Data length: 5
0 reduce: 0.127ms
1 reduce: 0.008ms
2 reduce: 0.006ms
0 map: 0.036ms
1 map: 0.007ms
2 map: 0.018ms
0 for loop: 0.005ms
1 for loop: 0.014ms
2 for loop: 0.004ms
0 for reverse: 0.009ms
1 for reverse: 0.005ms
2 for reverse: 0.004ms
0 for of: 0.008ms
1 for of: 0.004ms
2 for of: 0.004ms
0 for each: 0.046ms
1 for each: 0.003ms
2 for each: 0.003ms

Data length: 500
0 reduce: 0.031ms
1 reduce: 0.027ms
2 reduce: 0.026ms
0 map: 0.039ms
1 map: 0.036ms
2 map: 0.033ms
0 for loop: 0.029ms
1 for loop: 0.028ms
2 for loop: 0.028ms
0 for reverse: 0.027ms
1 for reverse: 0.026ms
2 for reverse: 0.026ms
0 for of: 0.051ms
1 for of: 0.063ms
2 for of: 0.051ms
0 for each: 0.030ms
1 for each: 0.030ms
2 for each: 0.027ms

Data length: 50000
0 reduce: 1.986ms
1 reduce: 1.017ms
2 reduce: 1.017ms
0 map: 2.142ms
1 map: 1.352ms
2 map: 1.310ms
0 for loop: 2.407ms
1 for loop: 12.170ms
2 for loop: 0.246ms
0 for reverse: 0.226ms
1 for reverse: 0.225ms
2 for reverse: 0.223ms
0 for of: 0.217ms
1 for of: 0.213ms
2 for of: 0.215ms
0 for each: 0.391ms
1 for each: 0.409ms
2 for each: 1.020ms

Data length: 500000
0 reduce: 1.920ms
1 reduce: 1.837ms
2 reduce: 1.860ms
0 map: 13.140ms
1 map: 12.762ms
2 map: 14.584ms
0 for loop: 15.325ms
1 for loop: 2.295ms
2 for loop: 2.014ms
0 for reverse: 2.163ms
1 for reverse: 2.138ms
2 for reverse: 2.182ms
0 for of: 1.990ms
1 for of: 2.009ms
2 for of: 2.108ms
0 for each: 2.226ms
1 for each: 2.583ms
2 for each: 2.238ms

Data length: 5000000
0 reduce: 18.763ms
1 reduce: 17.155ms
2 reduce: 26.592ms
0 map: 145.415ms
1 map: 135.946ms
2 map: 144.325ms
0 for loop: 29.273ms
1 for loop: 28.365ms
2 for loop: 21.131ms
0 for reverse: 21.301ms
1 for reverse: 27.779ms
2 for reverse: 29.077ms
0 for of: 19.094ms
1 for of: 19.338ms
2 for of: 26.567ms
0 for each: 22.456ms
1 for each: 26.224ms
2 for each: 20.769ms

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