Benchmark: Array loop vs foreach vs map 275000

Script Preparation code:

   var arr = [];
    for (var i = 0; i < 275000; i++) {
      arr[i] = i;
    }
  
    function someFn(i) {
      return i * 3 * 8;
    }

Tests:

foreach
arr.forEach(function (item){ someFn(item); })
for
for (var i = 0, len = arr.length; i < len; 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:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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I'd be happy to help you understand the provided benchmark.

**Overview**

The benchmark measures the performance of three different approaches for iterating over an array in JavaScript:

1. `forEach` loop
2. Traditional `for` loop
3. `map()` function

**Benchmark Definition JSON**

The benchmark definition json contains the following information:

* `Name`: The name of the benchmark, which is "Array loop vs foreach vs map 275000".
* `Script Preparation Code`: This code creates an array with 275,000 elements and defines a function `someFn(i)` that performs some calculation on each element.
* `Html Preparation Code`: This field is empty, indicating that no HTML preparation is required.

**Individual Test Cases**

The benchmark consists of three individual test cases:

1. **`foreach`**: The `forEach` loop iterates over the array using the `forEach()` method and calls the `someFn(i)` function for each element.
2. **`for`**: The traditional `for` loop iterates over the array using a manual index variable `i`, calculates the length of the array, and calls the `someFn(arr[i])` function for each element.
3. **`map()`**: The `map()` function applies the `someFn(i)` function to each element of the array without modifying the original array.

**Library Used**

None of these test cases use any external libraries.

**JavaScript Features/Syntax**

The benchmark does not use any special JavaScript features or syntax beyond the standard language.

**Options Compared**

The three options are compared in terms of their performance, measured by the number of executions per second (`ExecutionsPerSecond`).

**Pros and Cons of Each Approach**

Here's a brief summary of the pros and cons of each approach:

1. **`forEach` Loop**: This approach is concise and easy to read, but it may not be as efficient as traditional loops because it relies on JavaScript's iteration overhead.
	* Pros: Concise code, easy to understand
	* Cons: May be slower than traditional loops due to iteration overhead
2. **Traditional `for` Loop**: This approach provides more control over the iteration process and can be optimized for performance, but it requires more boilerplate code.
	* Pros: More control over iteration process, can be optimized for performance
	* Cons: Requires more boilerplate code, may be less readable
3. **`map()` Function**: The `map()` function is a concise way to apply a transformation to an array without modifying the original array, but it may not be as efficient as traditional loops.
	* Pros: Concise code, does not modify the original array
	* Cons: May be slower than traditional loops due to creation of a new array

**Other Alternatives**

If you're interested in exploring alternative approaches for iterating over arrays, consider the following:

1. **`reduce()` Function**: Similar to `map()`, but returns an accumulated value instead of creating a new array.
2. **`filter()` Function**: Removes elements from an array based on a predicate function.
3. **Generators and Iterators**: These are alternative ways to iterate over arrays, which can provide more control over the iteration process.

Note that these alternatives may have different performance characteristics and use cases compared to the traditional `for` loop and `map()` function.

Related benchmarks:

Array loop vs foreach vs map 275000 (version: 0)

Comparing performance of: foreach vs for vs map

Created: 6 years ago by: Guest

Jump to the latest result

foreach

for

map

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):