Benchmark: lodash uniq vs set my 2

HTML Preparation code:

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

Script Preparation code:

var myArr = Array.from({
    length: 60000
}, () => (Math.floor(Math.random() * 1000)));

Tests:

Set
var l = new Set(myArr); return [...l];
Array
return _.uniq(myArr);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Set
Array

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/126.0.0.0 Safari/537.36 Edg/126.0.0.0

Browser/OS: Chrome 126 on Windows

View result in a separate tab

Set

1K/s

Array

965/s

View exact numbers

Test name	Executions per second
✓ Set	1,010 Ops/sec
Array	965 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of MeasureThat.net and analyze the provided benchmark.

**What is being tested?**

The provided benchmark measures the performance difference between two approaches for removing duplicates from an array:

1. Using a `Set` data structure (Benchmark Definition: `var l = new Set(myArr); return [...l];`)
2. Using the `uniq` function from the Lodash library (Benchmark Definition: `return _.uniq(myArr);`)

**Options being compared**

The benchmark compares two approaches, both of which aim to remove duplicates from an array. The main difference between them is:

* `Set`: This approach uses a mutable data structure (`Set`) to store unique values. It iterates over the input array and adds each value to the set. Since sets only allow unique values, this approach automatically removes duplicates. Finally, it returns an array containing all values in the set.
* Lodash's `uniq` function: This approach uses a library function that implements a stable sort and then filters out duplicates.

**Pros and Cons**

1. `Set` approach:
	* Pros:
		+ Simple to understand and implement
		+ No additional dependencies required (native JavaScript implementation)
	* Cons:
		+ Creates an additional object, potentially affecting performance in memory-constrained environments
		+ May be slower due to the overhead of creating a set and iterating over it
2. Lodash's `uniq` function:
	* Pros:
		+ Provides a stable sort, which can help maintain the original order of elements
		+ Often optimized for performance
	* Cons:
		+ Requires an external library (Lodash), adding an extra dependency
		+ May be slower due to the overhead of loading the library and executing its functions

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides various functions for tasks like string manipulation, array and object manipulation, and more. The `uniq` function is one of the many useful utilities provided by Lodash.

**Special JS feature or syntax**

There are no special JavaScript features or syntax used in this benchmark. Both approaches use standard JavaScript syntax and data structures.

**Other alternatives**

If you wanted to implement a custom duplicate removal approach without using a library like Lodash, you could consider:

* Using an `Array.prototype.filter()` combination with the `includes()` method
* Utilizing a hash-based approach, such as using a `Map` or an object with a single key

However, these alternatives would likely be less efficient and more verbose than the approaches used in this benchmark.

I hope this explanation helps you understand what's being tested on MeasureThat.net!

lodash uniq vs set my 2 (version: 0)

Comparing performance of: `Set vs Array`

Created: 2 years ago by: Guest

Go to the latest result

Set

Array

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

lodash uniq vs set my 2 (version: 0)

Comparing performance of: Set vs Array

Created: 2 years ago by: Guest

Go to the latest result

Set

Array

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

Comparing performance of: `Set vs Array`