Benchmark: Array loop vs foreach vs map forsk

Script Preparation code:

   var arr = [];
    for (var i = 0; i < 1000; i++) {
      arr[i] = i;
    }
  
    function someFn(i) {
      return i * 3 * 8;
    }

Tests:

foreach
const arrayResult = [] arr.forEach(function (item){ arrayResult.push(someFn(item)); })
for
const arrayResult = [] for (var i = 0, len = arr.length; i < len; i++) { arrayResult.push(someFn(arr[i])); }
map
const arrayResult = arr.map(item => someFn(item))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
foreach
for
map

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36

Browser/OS: Chrome 117 on Linux

View result in a separate tab

Test name	Executions per second
foreach	1610.0 Ops/sec
for	1133.1 Ops/sec
map	2147.5 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and test cases.

**Benchmark Definition**

The provided JSON represents a JavaScript microbenchmark, which measures the performance of different approaches to perform an operation on an array. The benchmark is defined by two scripts:

1. **Script Preparation Code**: This code creates an empty array `arr` with 1000 elements and populates it with numbers from 0 to 999 using a `for` loop. Additionally, a function `someFn(i)` is defined that takes an integer `i` as input and returns the result of `i * 3 * 8`.
2. **Html Preparation Code**: This code is empty, which means no HTML content needs to be generated for this benchmark.

**Test Cases**

The benchmark has three test cases:

1. **foreach**
	* The script definition uses `forEach` to iterate over the array and apply the `someFn` function to each element.
2. **for**
	* The script definition uses a traditional `for` loop to iterate over the array and apply the `someFn` function to each element.
3. **map**
	* The script definition uses the `Array.prototype.map()` method to create a new array with the result of applying the `someFn` function to each element in the original array.

**Options Compared**

The benchmark is comparing three different approaches:

1. **forEach**: Uses the `forEach` method to iterate over the array.
2. **for**: Uses a traditional `for` loop to iterate over the array.
3. **map**: Uses the `Array.prototype.map()` method to create a new array with the transformed elements.

**Pros and Cons of Each Approach**

1. **forEach**:
	* Pros: Easy to read, concise syntax, can be used for both iteration and callback functions.
	* Cons: May not be as optimized as traditional loops, can lead to slower performance due to function call overhead.
2. **for**:
	* Pros: More control over loop iterations, can be faster than `forEach` due to reduced function call overhead.
	* Cons: More verbose syntax, requires manual index management.
3. **map**:
	* Pros: Concise syntax, can create new arrays more efficiently than traditional loops.
	* Cons: May lead to slower performance due to additional array creation and copying, can be less intuitive for developers unfamiliar with the method.

**Libraries Used**

None of the provided benchmark definitions use external libraries. The `Array.prototype.map()` method is a built-in JavaScript method.

**Special JS Features or Syntax**

The benchmark uses standard JavaScript features:

* Arrow functions (`=>`)
* Function expressions
* Looping constructs ( `for`, `forEach` )
* Array methods (`map()`)

Related benchmarks:

Array loop vs foreach vs map forsk (version: 0)

Comparing performance of: foreach vs for vs map

Created: one year ago by: Guest

Jump to the latest result

foreach

for

map

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):