Benchmark: Filter & Map vs Reduce 2021 v2

Script Preparation code:

var data = Array(10 ** 4).fill(null).map((_, i) => {
  return {
    checked: Math.random() < 0.5,
    val: Math.floor(Math.random() * 10000)
  }
})

function someFn(i) {
  return (i * 3 * 8 / 1200 * 0.002 / 40 * 0.2);
}

Tests:

Filter & Map case 1
data.filter(el => el.checked).map(el => someFn(el.val))
Reduce case 1
data.reduce((prev, curr) => { return curr.checked ? (prev.push(someFn(curr.val)), prev) : prev }, [])
Reduce case 2
data.reduce((prev, curr) => { return curr.checked ? [...prev, someFn(curr.val)] : prev }, [])

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Filter & Map case 1
Reduce case 1
Reduce case 2

Fastest: N/A

Slowest: N/A

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Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36 OPR/73.0.3856.284

Browser/OS: Opera 73 on Windows

View result in a separate tab

Test name	Executions per second
Filter & Map case 1	1338.3 Ops/sec
Reduce case 1	1401.0 Ops/sec
Reduce case 2	32.7 Ops/sec

Filter & Map vs Reduce 2021 v2 (version: 1)

Comparing performance of: Filter & Map case 1 vs Reduce case 1 vs Reduce case 2

Created: 3 years ago by: Registered User

Jump to the latest result

Filter & Map case 1

Reduce case 1

Reduce case 2

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A