Benchmark: lodash uniq vs set qsdfqsdf

HTML Preparation code:


<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>

Tests:

Set
const c = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; var l = new Set(); c.forEach(x => l.add(x)) return Array.from(l);
Array
var c = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; const l = []; c.forEach(x => l.push(x)); return _.uniq(l);

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: 7 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/140.0.0.0 Safari/537.36

Browser/OS: Chrome 140 on Windows

View result in a separate tab

Test name	Executions per second
Set	6671854.0 Ops/sec
Array	11881271.0 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 JavaScript microbenchmarks!

**Benchmark Overview**

The provided JSON represents a benchmark comparison between two approaches: using an array (`Array`) and using a Set (`Set`) to remove duplicates from an array. The benchmark is implemented in JavaScript, utilizing the Lodash library for the `uniq` function.

**Test Case 1: Array Approach**

In this test case, an array `c` is created with duplicate elements, and then the `forEach` method is used to iterate over the array, adding each element to a new array `l`. Finally, the `Array.from(l)` method is called to return the array without duplicates.

**Test Case 2: Set Approach**

In this test case, an array `c` is created with duplicate elements, and then a new Set object `l` is created. The `forEach` method is used to iterate over the array, adding each element to the Set. Finally, the `Array.from(l)` method is called to return the array without duplicates.

**Comparison of Options**

The two approaches are compared in terms of performance:

*   **Array Approach**: This approach uses the `forEach` method to iterate over the array and adds elements to a new array using the `push` method. The resulting array is then returned using the `Array.from(l)` method.
*   **Set Approach**: This approach uses the `forEach` method to iterate over the array, adding each element to a Set object. Finally, the `Array.from(l)` method is called to return the array without duplicates.

**Pros and Cons of Each Approach**

Here are some pros and cons of each approach:

*   **Array Approach**
    *   Pros:
        *   Easier to implement for developers familiar with arrays.
        *   More control over the iteration process.
    *   Cons:
        *   May be slower due to the overhead of creating a new array.
        *   Requires more memory to store the temporary array.
*   **Set Approach**
    *   Pros:
        *   Faster and more efficient for large datasets, as Sets are optimized for fast lookups.
        *   Uses less memory compared to the Array approach.
    *   Cons:
        *   May be harder to implement for developers unfamiliar with Sets.
        *   Less control over the iteration process.

**Lodash Library**

The Lodash library is used in this benchmark, specifically the `uniq` function. The `uniq` function removes duplicates from an array by returning a new array with unique elements.

**Special JavaScript Features/Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark that require specific knowledge to understand.

**Other Alternatives**

If you need alternative approaches for removing duplicates, here are some other options:

*   Using the `filter` method: This approach is similar to the Set approach but uses the `filter` method instead of `forEach`.
*   Using a custom function: You can write your own function using loops or recursion to remove duplicates.
*   Using modern JavaScript features like `reduce` and `map`: These methods provide efficient ways to process arrays and remove duplicates.

By understanding the strengths and weaknesses of each approach, you can choose the most suitable method for your specific use case and performance requirements.

Related benchmarks:

lodash uniq vs set qsdfqsdf (version: 0)

Comparing performance of: Set vs Array

Created: one year ago by: Guest

Jump 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):