Run results for: arr.include vs binary search on sorted array vs Map.has() vs Set.has() vs Object[]

Run details:

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36

Browser: Chrome 129

Operating system: Mac OS X 10.15.7

Device Platform: Desktop

Date tested: one year ago

Map.has()

29.6M/s

Set.has()

29.3M/s

Obj[]

29.2M/s

binary search

12.8M/s

Includes

2.4M/s

View exact numbers

Test name	Executions per second
✓ Map.has()	29,584,158 Ops/sec
Set.has()	29,335,066 Ops/sec
Obj[]	29,216,676 Ops/sec
binary search	12,806,155 Ops/sec
Includes	2,367,206 Ops/sec

Script Preparation code:

var arr = []
var map = new Map()
var set = new Set()
var obj = {}

for (var i = 0; i < 2000; i++) {
  arr.push(Math.random())
  map.set(i, true)
  set.add(i)
  obj[i] = true
}
arr = arr.sort()

function binaryIndexOf(searchElement) {
  var minIndex = 0
  var maxIndex = this.length - 1
  var currentIndex
  var currentElement

  while (minIndex <= maxIndex) {
    currentIndex = (minIndex + maxIndex) >>> 1
    currentElement = this[currentIndex]

    if (currentElement < searchElement) {
      minIndex = currentIndex + 1
    }
    else if (currentElement > searchElement) {
      maxIndex = currentIndex - 1
    }
    else {
      return currentIndex
    }
  }

  return -1
}

Tests:

Includes
arr.includes(5)
binary search
binaryIndexOf.call(arr, 5)
Map.has()
map.has(5)
Set.has()
set.has(5)
Obj[]
obj[5]