Benchmark: Clone deep vs Spread

HTML Preparation code:

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

Script Preparation code:

var MyObject = {
  description: 'Creates a deep copy of source, which should be an object or an array.',
  myNumber: 123456789,
  myBoolean: true,
  jayson: {
    stringify: 'JSON.stringify() method converts a JavaScript value to a JSON string....',
    parse: 'JSON.parse() method parses a JSON string...'
  }
};

var myCopy = null;

Tests:

Lodash
myCopy = _.cloneDeep(MyObject);
Spread
myCopy = { ...MyObject }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Spread

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 benchmark definition and test cases to understand what is being tested.

**Benchmark Definition Json**

The provided JSON represents a benchmarking framework called MeasureThat.net, which allows users to create and run JavaScript microbenchmarks. The benchmark definition includes:

1. **Script Preparation Code**: This section defines the initial script that will be executed before running the benchmarks. It creates an object `MyObject` with various properties, including numbers, booleans, and nested objects.
2. **Html Preparation Code**: This section includes a link to include the Lodash library in the benchmark, which is used for cloning deep copies of objects.

**Individual Test Cases**

There are two test cases:

1. **Lodash**: The first test case uses the `_.cloneDeep` function from Lodash to create a deep copy of the `MyObject`. This approach is commonly used when working with complex data structures, such as nested arrays or objects.
2. **Spread**: The second test case uses the spread operator (`{ ...MyObject }`) to create a shallow copy of the `MyObject`.

**Options Compared**

The two options being compared are:

1. **Lodash's `_.cloneDeep` function**: This approach creates a deep copy of the object, which can be useful when working with complex data structures.
2. **Spread operator (`{ ...MyObject }`)**: This approach creates a shallow copy of the object, which is faster but may not preserve all nested properties.

**Pros and Cons**

1. **Lodash's `_.cloneDeep` function**:
	* Pros: Creates a deep copy of the object, preserving all nested properties.
	* Cons: Adds extra overhead due to the use of a library.
2. **Spread operator (`{ ...MyObject }`)**:
	* Pros: Faster and more lightweight compared to using Lodash's `_.cloneDeep` function.
	* Cons: May not preserve all nested properties, especially if they are objects themselves.

**Other Considerations**

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

* **Performance**: If speed is critical, the spread operator might be a better choice. However, if preserving complex data structures is important, Lodash's `_.cloneDeep` function might be a better option.
* **Library overhead**: If you prefer not to use external libraries, the spread operator could be a more suitable choice.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntax used in this benchmark.

**Alternative Approaches**

Other alternatives for creating copies of objects include:

1. **`Object.assign()` method**: This method creates a shallow copy of an object.
2. **`Array.prototype.slice()` method**: This method creates a shallow copy of an array.
3. **Manual cloning using `JSON.parse(JSON.stringify())`**: This approach can be used to create a deep copy of objects, but it's not as efficient as Lodash's `_.cloneDeep` function.

Keep in mind that these alternatives might have different performance characteristics and may not preserve all nested properties.

Related benchmarks:

Clone deep vs Spread (version: 0)

Comparing performance of: Lodash vs Spread

Created: 6 years ago by: Guest

Jump to the latest result

Lodash

Spread

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):