Benchmark: remove vs filter

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js"></script>

Script Preparation code:

const limit = 10000000;
var array = [];

for (let i = 0; i < limit; i++) {
  array.push(i);
}

function getRandomIndex() {
  return Math.floor(Math.random() * array.length)
}

var element = array[getRandomIndex()];

Tests:

Filter
_.filter(array, x => x != element);
Remove
_.remove(array, x => x === element);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Filter
Remove

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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Let's break down the benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark is designed to compare the performance of two JavaScript methods: `_.filter()` and `_.remove()`, both from the Lodash library, on an array of 10 million elements. The array is populated with random numbers, and a specific element is randomly selected as the target element to be filtered or removed.

**Library and Its Purpose**

The Lodash library is a popular utility library for JavaScript that provides a wide range of functions for tasks such as string manipulation, array manipulation, and more. In this benchmark, two functions from Lodash are used:

1. `_.filter()`: This function returns a new array containing only the elements that pass the test implemented by the provided function.
2. `_.remove()`: This function removes all occurrences of an element in an array.

**Options Compared**

The benchmark compares the performance of two options for removing or filtering the target element:

1. **Lodash `_filter()`**: This method creates a new array with only the elements that pass the test implemented by the provided function.
2. **Lodash `_remove()`**: This method removes all occurrences of an element in the original array.

**Pros and Cons**

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

1. **Lodash `_filter()`**:
	* Pros: Creates a new array, which can be more efficient for large datasets since it avoids modifying the original array.
	* Cons: May incur additional memory allocation overhead.
2. **Lodash `_remove()`**:
	* Pros: Modifies the original array in place, which can be more efficient for small to medium-sized datasets.
	* Cons: Modifies the original array, which may not be desirable if the original data needs to remain intact.

**Special JS Feature/Syntax**

The benchmark uses a special JavaScript feature: **arrow functions**. The `x => x != element` and `x === element` expressions use arrow functions to define small anonymous functions. Arrow functions are a concise way to define small, single-expression functions in JavaScript.

**Other Alternatives**

If you're interested in exploring alternative approaches, here are some options:

1. **Vanilla JavaScript**: You could implement the filter and remove methods using vanilla JavaScript loops and conditional statements.
2. **ES6 `filter()`` and `reduce()``: You could use the built-in `Array.prototype.filter()` method to create a new array with filtered elements, and then use `Array.prototype.reduce()` to find the index of the target element in the original array.

Keep in mind that these alternatives may not be as efficient or concise as using Lodash functions.

Related benchmarks:

remove vs filter (version: 0)

Comparing performance of: Filter vs Remove

Created: 3 years ago by: Guest

Jump to the latest result

Filter

Remove

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):