Benchmark: Immutable to Mutable

Tests:

With Serialization
const data = [ { name: "David", age: 16000, }, { name: "David", age: 16000, }, { name: "David", age: 16000, }, { name: "David", age: 16000, }, { name: "David", age: 16000, }, { name: "David", age: 16000, }, { name: "David", age: 16000, } ]; const newData = JSON.parse(JSON.stringify(data));
Spread
const data = [ { name: "David", age: 16000, }, { name: "David", age: 16000, }, { name: "David", age: 16000, }, { name: "David", age: 16000, }, { name: "David", age: 16000, }, { name: "David", age: 16000, }, { name: "David", age: 16000, } ]; const newData = [...data];

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
With Serialization
Spread

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 11_2_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.128 Safari/537.36

Browser/OS: Chrome 89 on Mac OS X 11.2.3

View result in a separate tab

Test name	Executions per second
With Serialization	195752.6 Ops/sec
Spread	15518216.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Overview**

The provided benchmark measures the performance difference between two approaches: using the spread operator (`...`) and serializing an array using `JSON.parse(JSON.stringify())`. The test creates an array with a large number of identical objects, and then creates a new copy of this array using both methods.

**Options Compared**

There are two options being compared:

1. **Spread Operator (`...`)**: This method creates a new array by spreading the original array's elements.
2. **Serialization using `JSON.parse(JSON.stringify())`**: This method serializes the original array, converts it to a string, and then parses it back into an array.

**Pros and Cons of Each Approach**

1. **Spread Operator (`...`)**
	* Pros:
		+ Creates a new copy of the array without modifying the original.
		+ Efficient, as it only creates a new reference to each element.
	* Cons:
		+ May not work as expected if the elements are mutable objects (e.g., arrays or dates).
2. **Serialization using `JSON.parse(JSON.stringify())`**
	* Pros:
		+ Works with all types of objects, including mutable ones.
	* Cons:
		+ Creates a deep copy of the array, which can be slower and more memory-intensive than the spread operator.

**Library Used**

There is no explicit library mentioned in the benchmark definition. However, it's worth noting that `JSON.parse(JSON.stringify())` relies on the `JSON` object, which is part of the JavaScript standard library.

**Special JS Feature/Syntax**

The benchmark uses a syntax feature called "template literals" (`\r\n  \t{\r\n ... \t}`), which allows for multiline strings and template interpolation. This feature was introduced in ECMAScript 2015 (ES6) and is now widely supported by modern JavaScript engines.

**Other Alternatives**

There are other ways to create a copy of an array, such as using the `Array.prototype.slice()` method or the `Array.from()` method with the spread operator (`...`). For example:

* `const newData = [...data];` (uses `Array.from()` and the spread operator)
* `const newData = data.slice();` (uses `Array.prototype.slice()`)
* `const newData = new Array(data.length);` (uses constructor-based approach)

These alternatives may have different performance characteristics or trade-offs, depending on the specific use case.

Related benchmarks:

Immutable to Mutable (version: 0)

Comparing performance of: With Serialization vs Spread

Created: 3 years ago by: Guest

Jump to the latest result

With Serialization

Spread

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):