Benchmark: Lodash vs. Native Union

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 = new Array(10000)
for (var i = 0; i < 10000; i++) arr1[i] = _.random(0, 100, false)
var arr2 = new Array(10000)
for (var i = 0; i < 10000; i++) arr2[i] = _.random(0, 100, false)

Tests:

Native
var arr3 = [...new Set([...arr1, ...arr2])]
Lodash
var arr3 = _.union(arr1, arr2)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native
Lodash

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

I'd be happy to explain the benchmark and its results.

**Benchmark Overview**

The benchmark is designed to compare the performance of two approaches: native JavaScript's `Set` data structure and Lodash's `union` function. The test creates two arrays, `arr1` and `arr2`, with 10,000 random elements each. Then, it uses the `Set` object or Lodash's `union` function to combine the two arrays into a single set.

**Options Compared**

There are two options compared in this benchmark:

1. **Native JavaScript's Set**: This approach uses the built-in `Set` data structure in JavaScript to combine the two arrays. The `Set` object automatically removes duplicates and provides fast lookup times.
2. **Lodash's Union Function**: This approach uses Lodash's `union` function, which is a higher-order function that takes multiple arrays as arguments and returns a new array with unique elements.

**Pros and Cons of Each Approach**

1. **Native JavaScript's Set**:
	* Pros: Fast execution time, no dependencies or additional libraries needed.
	* Cons: Requires JavaScript 1.8+ for `Set` support, can be slower for very large datasets due to object creation overhead.
2. **Lodash's Union Function**:
	* Pros: Can handle very large datasets and provides a convenient, one-line solution.
	* Cons: Slower execution time compared to native `Set`, requires Lodash library dependency.

**Library Used**

In this benchmark, Lodash is used as the library for its `union` function. The library provides a convenient way to perform set operations without requiring low-level JavaScript expertise.

**Special JS Feature or Syntax**

None of the code snippets use any special JavaScript features or syntax that would require additional explanation.

**Other Considerations**

When choosing between these two approaches, consider the following factors:

* **Performance**: If speed is critical and you're working with very large datasets, native `Set` might be a better choice.
* **Convenience**: If you need a simple, one-line solution for set operations, Lodash's `union` function might be more convenient.

**Alternative Approaches**

Other alternatives to these two approaches include:

1. **Array.prototype.concat() + Array.prototype.filter()**: This approach can also handle large datasets but is slower than native `Set`.
2. **Using a library like Ramda or Underscore.js**: These libraries provide set operations functions that can be used instead of Lodash's `union` function.

Keep in mind that the choice of approach depends on your specific use case, performance requirements, and personal preference.

Related benchmarks:

Lodash vs. Native Union (version: 0)

Lodash vs. Native Union

Comparing performance of: Native vs Lodash

Created: 4 years ago by: Guest

Jump to the latest result

Native

Lodash

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):