Benchmark: Array loop vs foreach vs map sdadasdsa 2

Script Preparation code:

   var arr = [];
    for (var i = 0; i < 10000; i++) {
      arr[i] = i;
    }
  
    function someFn(i) {
      return i * 3 * 8;
    }

Tests:

foreach
arr.forEach(function (item){ someFn(item); })
for
for (let i = 0; i < arr.lenght; i++) { someFn(arr[i]); }
map
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: 2 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.127 Safari/537.36

Browser/OS: Chrome 100 on Windows

View result in a separate tab

Test name	Executions per second
foreach	1079.4 Ops/sec
for	11775325.0 Ops/sec
map	1026.5 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 and explain what's being tested, the options compared, their pros and cons, and other considerations.

**Benchmark Overview**

The benchmark measures the performance of three different approaches to iterate over an array: `forEach`, `for` loop, and `map`. The test case uses a simple JavaScript function `someFn` that takes an integer as input and returns the result multiplied by 3 and 8. The input array is created with 10,000 elements using a for loop.

**Options Compared**

1. **forEach**: Iterates over the array using the `forEach` method, which calls the provided callback function on each element.
2. **For Loop**: Uses a traditional `for` loop to iterate over the array, accessing each element by its index.
3. **Map**: Applies the `someFn` function to each element of the array using the `map` method.

**Pros and Cons**

1. **forEach**:
	* Pros: Simple, concise, and efficient for small arrays or tasks that don't require direct access to elements.
	* Cons: May incur overhead due to callback function creation and iteration.
2. **For Loop**:
	* Pros: Allows direct access to array elements, can be more cache-friendly, and often faster than `forEach`.
	* Cons: Can be verbose for large arrays or complex iterations.
3. **Map**:
	* Pros: Concise and efficient for creating a new array with transformed elements, as it avoids the need for manual iteration.
	* Cons: May incur overhead due to function creation and iteration, can be less cache-friendly than traditional loops.

**Library Usage**

The `someFn` function is not part of any library; it's a custom function defined in the benchmark script. The `map` method uses the Array.prototype.map() function from the ECMAScript standard, which is built-in to modern JavaScript engines.

**Special JS Feature or Syntax**

There are no special features or syntax used in this benchmark that would require additional explanation.

**Other Considerations**

* Cache locality: For loops can be more cache-friendly than `forEach` and `map`, as they allow direct access to array elements.
* Overhead: `forEach` and `map` may incur overhead due to callback function creation and iteration, while traditional for loops tend to have less overhead.
* Array size: The benchmark uses a large array (10,000 elements), which can affect the performance of each approach.

**Alternatives**

Other approaches to iterate over arrays include:

1. **Lodash's `each`**: A functional programming alternative to `forEach`.
2. **Ramda's `map` and `forEach`**: Functional programming libraries that provide more concise and expressive iteration methods.
3. **Closures**: Using a closure to encapsulate the iteration logic can be an alternative to traditional for loops.

Keep in mind that the choice of iteration method depends on the specific use case, performance requirements, and personal preference.

Related benchmarks:

Array loop vs foreach vs map sdadasdsa 2 (version: 0)

Comparing performance of: foreach vs for vs map

Created: 2 years 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):