Benchmark: a native sort of objects by localeCompare vs lodash _.orderBy

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/lodash/4/lodash.min.js"></script>

Script Preparation code:

var users = [
  { 'user': 'joey',  'age': 32 },
  { 'user': 'ross',    'age': 41 },
  { 'user': 'chandler', 'age': 39 }
]

Tests:

native sort of objects by localeCompare
users.sort((a,b) => a.user.localeCompare(b.user));
lodash _.orderBy
_.orderBy(users, 'user', 'asc')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
native sort of objects by localeCompare
lodash _.orderBy

Fastest: N/A

Slowest: N/A

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

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Let's dive into the explanation of the provided benchmark.

**What is tested?**

The benchmark compares two approaches for sorting an array of objects in descending order based on a specific property (`'user'` in this case). The first approach uses JavaScript's built-in `localeCompare()` method, while the second approach relies on the popular utility library Lodash's `_.orderBy()` function.

**Options compared:**

1. **Native sort with localeCompare**: This approach uses JavaScript's built-in `sort()` method to sort the array of objects. The comparison function `(a,b) => a.user.localeCompare(b.user)` is used to determine the order of the elements.
2. **Lodash _.orderBy**: This approach uses Lodash's `_.orderBy()` function to sort the array of objects. The first argument `'user'` specifies the property to sort by, and the second argument `'asc'` indicates that the sorting should be in ascending order (although it can be changed to `'desc'` if needed).

**Pros and Cons:**

* **Native sort with localeCompare**:
	+ Pros:
		- Lightweight and efficient, as it only uses built-in JavaScript methods.
		- No external dependencies or library overhead.
	+ Cons:
		- May have inconsistent behavior across different browsers and locales.
		- Can be slower than Lodash's optimized implementation for large datasets.
* **Lodash _.orderBy**:
	+ Pros:
		- Optimized performance and consistency across different browsers and locales.
		- Easier to read and maintain, as it's a well-documented and tested library function.
	+ Cons:
		- Adds an external dependency (the Lodash library) that needs to be included in the test environment.
		- May have a slightly larger footprint compared to the native approach.

**Library used:**

* **Lodash**: A popular utility library for JavaScript that provides a wide range of functions for tasks such as array manipulation, string manipulation, and more. In this case, the `_.orderBy()` function is used to sort the array of objects.

**Special JS feature or syntax:**

None mentioned in the provided benchmark definition.

**Other alternatives:**

* **Array.prototype.sort() with a custom comparison function**: This approach would use a similar comparison function as the native approach (`(a,b) => a.user.localeCompare(b.user)`). However, it would be slightly less efficient and less readable than using Lodash's optimized implementation.
* **Other sorting libraries or functions**: Depending on the specific requirements of the project, other sorting libraries or functions (e.g., jQuery's `$.sort()`, moment.js's `moment().sortBy()` for dates) might be considered as alternatives.

Overall, the benchmark provides a good comparison between two common approaches for sorting arrays of objects in JavaScript. By using Lodash's optimized implementation, the test environment can ensure consistent and efficient performance across different browsers and locales.

Related benchmarks:

a native sort of objects by localeCompare vs lodash _.orderBy (version: 0)

comparing native sort of objects by localeCompare vs lodash _.orderBy

Comparing performance of: native sort of objects by localeCompare vs lodash _.orderBy

Created: 2 years ago by: Guest

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native sort of objects by localeCompare

lodash _.orderBy

Suite status: <idle, ready to run>

Fastest: N/A

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