Benchmark: lodash difference vs ES6 Set (small data set)

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var arr1 = [];
for(let i = 0; i < 1000; i++) {
  arr1.push('' + i);
}

var arr2 = [];
for(let i = 499; i >= 0; i--) {
  arr2.push('' + i);
}

Tests:

_difference
const finalArray = _.difference(arr2, arr1)
Set/Filter
const outList = new Set([...arr1]); const finalArray = arr2.filter(value => !outList.has(value));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_difference
Set/Filter

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

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

**Benchmark Overview**

The benchmark compares two approaches for finding the difference between two arrays:

1. Using Lodash's `_.difference()` function
2. Using a Set data structure with Array.prototype.filter()

**Lodash _.difference() Function**

The first approach uses Lodash's `_.difference()` function to find the elements present in `arr2` but not in `arr1`. This function returns a new array containing only the unique elements from `arr2`.

Pros:

* Efficient use of Lodash's optimized implementation for set operations
* Easy to read and write, with a clear purpose

Cons:

* Requires an external dependency (Lodash) to be loaded
* May not be as performant as native JavaScript implementations for very large datasets

**Set data structure with Array.prototype.filter()**

The second approach uses a Set data structure in conjunction with Array.prototype.filter() to find the elements present in `arr2` but not in `arr1`. Here's how it works:

1. Create a Set from `arr1` containing only its unique elements.
2. Use Array.prototype.filter() on `arr2` to create a new array containing only the elements that are not present in the Set.

Pros:

* No external dependencies required
* Can be more efficient than Lodash's implementation for very large datasets, as it avoids the overhead of loading an additional library

Cons:

* Requires manual memory management for the Set data structure
* May require more complex code to implement correctly

**Other Considerations**

Both approaches have their trade-offs in terms of performance, readability, and maintainability. The choice between them depends on the specific use case and personal preference.

In general, if you need a fast and efficient solution with minimal overhead, using a Set data structure with Array.prototype.filter() might be the better choice. However, if you prioritize ease of use and don't mind loading an additional library, Lodash's `_.difference()` function is a reliable and well-maintained option.

**Library: Lodash**

Lodash (formerly known as Underscore.js) is a popular JavaScript utility library that provides a wide range of functional programming helpers. The `_.difference()` function is one of these helpers, designed to efficiently find the elements present in two arrays while excluding duplicates.

In this benchmark, we use the `lodash.min.js` file from the CDN, which is a pre-compiled version of Lodash's source code optimized for production use. This allows us to easily load and use Lodash's functionality without modifying our own code.

**Special JS Feature: Arrow Functions**

The benchmark uses arrow functions (`() => { ... }`) in both test cases, which are a modern JavaScript feature introduced in ECMAScript 2015 (ES6). Arrow functions provide a concise way to define small, single-expression functions without the need for `function` declarations.

In this case, using arrow functions simplifies the code and makes it more readable. They're a common pattern in modern JavaScript development, especially when working with functional programming techniques.

Related benchmarks:

lodash difference vs ES6 Set (small data set) (version: 0)

Comparing performance of: _difference vs Set/Filter

Created: 3 years ago by: Guest

Jump to the latest result

_difference

Set/Filter

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):