Benchmark: Lodash slick vs array destructuring assignment

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js'></script>

Script Preparation code:

var arr = ["this", "is", "an", "array", "of", "strings"]

Tests:

Destructuring assignment
const [, ...rest] = arr;
Lodash slice
const rest = _.slice(arr, 1);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Destructuring assignment
Lodash slice

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:93.0) Gecko/20100101 Firefox/93.0

Browser/OS: Firefox 93 on Windows

View result in a separate tab

Test name	Executions per second
Destructuring assignment	7058213.5 Ops/sec
Lodash slice	10465543.0 Ops/sec

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

LLMs can make mistakes. Check important info.

I'd be happy to explain what's being tested in the provided JSON benchmark.

**Benchmark Overview**

The benchmark compares two approaches for manipulating arrays: destructuring assignment and using the `slice()` method from the Lodash library.

**Destructuring Assignment (Test Case 1)**

In this test case, the benchmark measures the execution time of a simple destructuring assignment:

```javascript
const [, ...rest] = arr;
```

This syntax is used to extract all elements except the first one from the `arr` array into the `rest` variable.

**Lodash Slice (Test Case 2)**

In this test case, the benchmark measures the execution time of using the `slice()` method from Lodash to extract a subset of elements from the `arr` array:

```javascript
const rest = _.slice(arr, 1);
```

The `_` symbol refers to the root object of the Lodash library, which provides various utility functions. The `slice()` method returns a new array containing all elements except the first one.

**Comparison and Considerations**

Both approaches achieve the same result, but they differ in their performance characteristics:

* **Destructuring Assignment**: This approach is generally faster because it uses a simpler syntax and avoids the overhead of creating a new array or object. However, it may be less readable for some developers.
* **Lodash Slice**: This approach provides more flexibility and control, as you can specify the number of elements to exclude from the original array. On the other hand, it introduces additional overhead due to the creation of a new array.

**Pros and Cons**

Pros of Destructuring Assignment:

* Faster execution
* Simpler syntax

Cons of Destructuring Assignment:

* Less readable for some developers
* May not be compatible with older browsers or environments that don't support this syntax

Pros of Lodash Slice:

* More flexible and control-oriented
* Compatible with a wider range of browsers and environments

Cons of Lodash Slice:

* Slower execution due to array creation overhead

**Library Considerations**

In this benchmark, the Lodash library is used to provide the `slice()` method. Lodash is a popular utility library that provides various helper functions for tasks like array manipulation, string formatting, and more.

Other alternatives to using Lodash slice could include:

* Using the built-in `slice()` method of the Array prototype
* Creating a custom function to achieve the same result
* Using other array manipulation libraries or frameworks

**Special JavaScript Features or Syntax**

None of the test cases in this benchmark use special JavaScript features or syntax that are not widely supported.

Other alternatives can be considered if you need more control over the performance characteristics of your code, but for most use cases, the built-in `slice()` method or destructuring assignment should suffice.

Related benchmarks:

Lodash slick vs array destructuring assignment (version: 0)

Comparing performance of: Destructuring assignment vs Lodash slice

Created: 3 years ago by: Guest

Jump to the latest result

Destructuring assignment

Lodash slice

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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