Benchmark: testingelad - MeasureThat.net

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/immutable/3.8.2/immutable.min.js"></script>
<section id="section">
</section>

Tests:

Immutable
const obj = [1, 2, 3, 4, 5, 6] const obj2 = Immutable.List(obj) const obj3 = obj2.push(7)
Spread
const obj = [1, 2, 3, 4, 5, 6] const obj2 = [...obj] obj2.push(7)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Immutable
Spread

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.135 Safari/537.36

Browser/OS: Chrome 84 on Mac OS X 10.14.6

View result in a separate tab

Test name	Executions per second
Immutable	3041363.8 Ops/sec
Spread	27382902.0 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll explain the benchmark being tested, the options being compared, and their pros and cons.

**Benchmark Definition**

The provided JSON represents a JavaScript microbenchmark named "testingelad". The benchmark tests two approaches to creating a new list by modifying an existing array.

1. **Immutable**: This approach uses the Immutable.js library to create a new immutable list (`obj2 = Immutable.List(obj)`). Immutable.js provides a way to work with data in a predictable, thread-safe manner.
2. **Spread** (also known as "Array Destructuring"): This approach creates a new array by spreading an existing array and then pushing a new element onto it (`obj2 = [...obj]`).

**Options Being Compared**

The two options being compared are:

1. **Immutable**: Uses the Immutable.js library to create a new immutable list.
	* Pros:
		+ Thread-safe, which can improve performance in multi-threaded environments.
		+ Predictable behavior, which can help catch bugs earlier.
	* Cons:
		+ Overhead due to the creation of an additional object (the immutable list).
		+ May not be suitable for simple, one-time operations.
2. **Spread**: Uses array destructuring to create a new array and then pushes a new element onto it.
	* Pros:
		+ Lightweight, as it only creates a new array reference without the overhead of an additional object.
		+ Suitable for most use cases where predictability is not necessary.
	* Cons:
		+ May introduce performance issues if the operation is done in a loop or in a multi-threaded environment.

**Library: Immutable.js**

Immutable.js is a JavaScript library that provides a way to work with data in a predictable, thread-safe manner. It allows you to create immutable data structures and perform operations on them without side effects. In this benchmark, Immutable.js is used to create an immutable list (`obj2 = Immutable.List(obj)`).

**Special JS Feature/Syntax: None**

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

**Other Alternatives**

If you're interested in exploring other alternatives for creating new lists in JavaScript, consider the following:

1. **Array.prototype.push()**: This is a built-in method that creates a new array reference by pushing an element onto the end of the original array.
2. **Array.prototype.concat()**: This method creates a new array by concatenating multiple arrays together.

While these alternatives are more lightweight than using Immutable.js, they may not provide the same level of predictability or thread-safety as the Immutable.js approach.

I hope this explanation helps!

Related benchmarks:

testingelad (version: 0)

test

Comparing performance of: Immutable vs Spread

Created: 4 years ago by: Guest

Jump to the latest result

Immutable

Spread

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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