Benchmark: test array filter vs object destructure

HTML Preparation code:

..

Script Preparation code:

    var ka = ['id', 'token', 'family', 'grade', 'hex'];
    var ko = {
      id: undefined,
      token: undefined,
      family: undefined,
      grade: undefined,
      hex: undefined
    };

    var k = 'token';

Tests:

fn arr
const fl = function(e) { return e !== k }; const fna = function(ka) { return ka.filter(fl) }; fna(ka);
fn obj
const fno = function(ko) { const {[k]: _, ...rest} = ko; return Object.keys(rest); }; fno(ko);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
fn arr
fn obj

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36

Browser/OS: Chrome 131 on Windows

View result in a separate tab

Test name	Executions per second
fn arr	10688915.0 Ops/sec
fn obj	6513593.5 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its components.

**Benchmark Definition**

The benchmark definition represents a test case that compares two approaches:

1. **Array filter**: This approach uses the `filter()` method to remove elements from an array based on a condition.
2. **Object destructure**: This approach uses object destructuring syntax (also known as "rest parameter" or "splat operator") to extract properties from an object.

The benchmark definition provides:

* A sample data set (`ka` and `ko`) for testing
* Script preparation code that sets up the test environment
* HTML preparation code (not shown) that likely includes a `<div>` element with an ID (`k`) used as a reference in the script

**Options compared**

The two options being compared are:

1. **Array filter**: This method is efficient for array-based operations.
2. **Object destructure**: This method is concise and readable, but might be less efficient than `filter()`.

**Pros and Cons of each approach:**

* **Array filter**:
	+ Pros:
		- Widely supported across browsers
		- Easy to implement
		- Efficient for array-based operations
	+ Cons:
		- Can be slower due to the need to create a callback function
		- Might not be as concise as object destructuring syntax
* **Object destructure** (rest parameter):
	+ Pros:
		- Concise and readable syntax
		- Can be faster than `filter()` for small datasets
	+ Cons:
		- Less widely supported across browsers (Chrome, Firefox, and Edge)
		- Might not be suitable for large datasets or complex operations

**Library/Script**

The script uses two JavaScript features:

* **`filter()` method**: a built-in array method that filters elements based on a condition.
* **Object destructuring syntax** (rest parameter): a feature introduced in ECMAScript 2015 (ES6) that allows extracting properties from an object using the syntax `const { [property]: _, ...rest } = obj;`.

Note: The script does not use any external libraries.

**Device and Browser**

The benchmark was run on:

* **Chrome 113**: a specific browser version
* **Desktop Linux**: a specific operating system and device platform

**Other alternatives**

Alternative approaches to the two options being compared could include:

* Using `forEach()` method instead of `filter()`
* Using `map()` method instead of object destructuring syntax (rest parameter)
* Implementing custom loops or recursive functions
* Using libraries like Lodash for utility functions

However, these alternatives might not be suitable for a benchmarking scenario, as they may introduce additional complexity and dependencies.

Related benchmarks:

test array filter vs object destructure (version: 0)

test array filter vs object destructure

Comparing performance of: fn arr vs fn obj

Created: 2 years ago by: Guest

Jump to the latest result

fn arr

fn obj

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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