Benchmark: Spread Operator vs Lodash with not so many items

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var arr = new Array(169).fill(0);

Tests:

Spread Operator
[...arr];
Lodash Clone
_.clone(arr);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Spread Operator
Lodash Clone

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 4 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36

Browser/OS: Chrome 131 on Windows

View result in a separate tab

Test name	Executions per second
Spread Operator	7965816.0 Ops/sec
Lodash Clone	7989133.5 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 5 months ago):

LLMs can make mistakes. Check important info.

Let's break down the benchmark definition and test cases.

**Benchmark Definition and Preparation Code**

The provided JSON defines a benchmark called "Spread Operator vs Lodash with not so many items". The script preparation code creates an array `arr` filled with 169 zeros using `var arr = new Array(169).fill(0);`. This array will be used to test the performance of the spread operator (`[...arr]`) and Lodash's `clone()` function.

The HTML preparation code includes a reference to Lodash library, specifically version 4.17.5, in a `<script>` tag: `<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>`. This library is used by the `Lodash Clone` test case.

**Individual Test Cases**

The benchmark consists of two individual test cases:

1. **Spread Operator**: The first test case, "Spread Operator", measures the performance of using the spread operator (`[...arr]`) to create a new array from `arr`. This is a built-in JavaScript feature that allows you to expand an iterable (like an array) into individual elements.
2. **Lodash Clone**: The second test case, "Lodash Clone", uses Lodash's `clone()` function to create a deep copy of the original array `arr`. This helps to isolate any differences in performance due to memory allocation or garbage collection.

**Pros and Cons**

Here are some pros and cons of each approach:

* **Spread Operator**:
	+ Pros: Simple, lightweight, and widely supported.
	+ Cons: May not work well for very large arrays, as it creates a new array object that can lead to increased memory usage.
* **Lodash Clone**:
	+ Pros: Provides a more controlled and predictable way of creating a copy of the original array, which can help reduce unexpected side effects.
	+ Cons: Requires an external library (Lodash), adds additional overhead due to function call and parameter passing.

**Library and Purpose**

The `clone()` function in Lodash is designed to create a deep copy of an object or array. It recursively traverses the original data structure, creating new objects and arrays as needed, to ensure that all nested properties are copied accurately. This allows developers to safely modify the original data without affecting other parts of their codebase.

**Special JS Features and Syntax**

None mentioned in this benchmark definition.

**Other Alternatives**

If you want to compare the performance of these two approaches with others, here are some alternatives:

1. **Array.prototype.slice()**: Another method that creates a shallow copy of an array.
2. **Array.from()**: A method that creates a new array from an iterable, similar to the spread operator but might be faster for large arrays due to its use of optimized algorithms.
3. **Array.reduce()**: A method that can create a new array by accumulating elements from an original array.

Keep in mind that each approach has its own trade-offs and may perform better or worse depending on specific use cases, hardware, and software configurations.

Related benchmarks:

Spread Operator vs Lodash with not so many items (version: 0)

Comparing performance of: Spread Operator vs Lodash Clone

Created: 4 years ago by: Guest

Jump to the latest result

Spread Operator

Lodash Clone

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 5 months ago):