Benchmark: deepclone vs assignment

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var max1 = 100000; // 100,000 (100 Thousand)
var max2 = 10000000; // 10,000,000 (10 Million)
var max3 = 100000000; // 100,000,000 (100 Million)

var arr1 = [];
//for (var i = 0; i <= max1; i++) { arr1.push(i); }

var arr2 = [];
for (var i = 0; i <= max2; i++) { arr2.push(i); }

var arr3 = [];
//for (var i = 0; i <= max3; i++) { arr3.push(i); }

Tests:

value type assignment
arr2.forEach(function (element, index) { element = element*2; });
Deepclone assignemnt
arr2.forEach(function (element, index) { element = _.cloneDeep(element) });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
value type assignment
Deepclone assignemnt

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its test cases.

**Benchmark Definition**

The benchmark is designed to compare two approaches: value type assignment and deep cloning.

In the script preparation code, three arrays (`arr1`, `arr2`, and `arr3`) are created with a large number of elements (100,000, 10,000,000, and 100,000,000, respectively). The benchmark aims to measure which approach is faster: assigning new values to existing elements in the array (`value type assignment`) or creating a deep copy of each element using the `_.cloneDeep()` function from Lodash (`deep clone`).

**Options Compared**

The two options being compared are:

1. **Value Type Assignment**: Assigning new values to existing elements in the array, e.g., `element = element * 2;`.
2. **Deep Cloning**: Creating a deep copy of each element using `_.cloneDeep(element)`.

**Pros and Cons of Each Approach**

**Value Type Assignment (Procedural Assignment)**

Pros:

* Faster, as it only requires assigning new values to existing elements.
* May be more efficient for small arrays or arrays with few mutable properties.

Cons:

* Can lead to unexpected behavior if the array contains objects with complex structures that are not properly cloned.
* May result in incorrect results if the assigned value is a reference to another object, causing changes to affect other parts of the array.

**Deep Cloning (Functional Assignment)**

Pros:

* Ensures that each element in the array is a separate, independent copy.
* Can handle complex objects with nested structures without issues.
* Can be useful when working with arrays containing mutable objects.

Cons:

* Slower due to the creation of multiple copies of elements.
* May consume more memory for large arrays or arrays with many elements.

**Lodash Library**

The benchmark uses Lodash, a popular JavaScript utility library. `_.cloneDeep()` is a function that creates a deep copy of an object or value, recursively copying all nested properties.

**Special JS Features/Syntax**

There are no special JavaScript features or syntax used in this benchmark beyond the standard ECMAScript 2015 (ES6) and Lodash functions.

**Other Alternatives**

If you need to create copies of arrays or objects in JavaScript, consider using built-in `Array.prototype.slice()` or `Object.assign()`, which can be faster than deep cloning. However, these methods may not work correctly for complex data structures or large arrays.

For more advanced array manipulation and cloning, libraries like Immer or Ramda provide efficient and safe alternatives to Lodash's `cloneDeep()` function.

Keep in mind that the performance difference between value type assignment and deep cloning will depend on your specific use case and dataset size.

Related benchmarks:

deepclone vs assignment (version: 0)

Comparing performance of: value type assignment vs Deepclone assignemnt

Created: 6 years ago by: Guest

Jump to the latest result

value type assignment

Deepclone assignemnt

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):