Run results for: Unique Array: Lodash vs spread new Set vs reduce vs for v2

Run details:

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36

Browser: Chrome 120

Operating system: Windows

Device Platform: Desktop

Date tested: 2 years ago

Benchmark engine: Benchmark.js

Array Unique

1.2M/s

Array from Set

913K/s

Lodash Uniq

476K/s

For Loop

133K/s

View exact numbers

Test name	Executions per second
✓ Array Unique	1,199,610 Ops/sec
Array from Set	912,753 Ops/sec
Lodash Uniq	475,937 Ops/sec
For Loop	133,214 Ops/sec

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var testArr = "JRQ, SCTS, KKC, KKC, KKC, RGC, PDA, PDA, RGC, KKC, PDA, PDA, PDA, SCTS, KKC, DAH, JRM, JRM, RGC, RGC, DAMB, DAMB, KKC, SCTS, RGC, PAC, KKC, KKC, SCTS, SCTS, SCTS, SCTS, KKC, KKC, MIDK, MIDK, KKC, RGC, CHTS, CHTS, CHTS, CHTS, JRQ, JRQ, SCTS, DAH, DAH, AEWC, DQQL, PAC, DQQL, DQQL, AEWC, KIS, AEWC, DQQL, AEWC, PAC, RHN, RHN, KIS, KIS, RHN, RHN, RHN, KIS, KIS, KIS, KIS, KIS, JRQ, RGC, SCTS, RGC, SCTS, KKC, SCTS, SCTS, SCTS, SCTS, SCTS, SCTS, SCTS, SCTS, SCTS, SCTS, DGJ, DGJ, RGC, KKC, KKC, MIDK, MIDK, RGC, KKC, RGC, RGC, RGC, RGC, DGJ, DGJ, PDA, RGC, JRQ, PDA, SCTS, RGC, RGC, SCTS, DXJM, JRQ, PDA, PDA, PDA, SCTS, DAH, DAH, RGC, RGC,".split(', ');

Tests:

Array from Set
[...new Set(testArr)]
Lodash Uniq
_.uniq(testArr)
Array Unique
const { resultArray } = testArr.reduce((result, item) => { if(!result.resultMap[item]){ result.resultMap[item] = true; result.resultArray.push(item) } return result; }, {resultArray: [], resultMap: {}}); return resultArray;
For Loop
const resultArray = []; const resultMap = {}; for(let i=0; i < testArr.length; i++ ) { const item = testArr[i]; if(resultMap[item]){ continue; } resultMap[item] = true; resultArray.push(item) } return resultArray;