Benchmark: test object perfomance

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/immutable/3.8.2/immutable.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/immutability-helper@2.7.0/index.min.js"></script>

Tests:

object spread
let obj = {}; for(i=0;i<100;i++){ const key = 'key'+i const value = 'value'+i obj[key]={key, value} }
immutable-js
let obj = Immutable.Map(); for(i=0;i<100;i++){ const key = 'key'+i const value = 'value'+i obj = obj.set(key, {key, value}) }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
object spread
immutable-js

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4826.0 Safari/537.36 Edg/99.0.1141.0

Browser/OS: Chrome 99 on Windows

View result in a separate tab

Test name	Executions per second
object spread	56345.3 Ops/sec
immutable-js	32654.9 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and test cases to understand what's being tested.

**What is being tested?**

The provided benchmark measures the performance of two approaches:

1. **Object spread**: This involves creating an empty object, then repeatedly adding properties to it using a loop. The benchmark aims to compare the execution time of this process in different JavaScript environments.
2. **Immutable.js**: This approach uses the Immutable.js library to create and manipulate immutable data structures. Specifically, it creates an empty Immutable.Map instance and then repeatedly sets new key-value pairs on it.

**Options compared**

In the "Object spread" test case:

* The only option being compared is the execution time of adding properties to an object using a loop.
* There are no other factors or options being tested, such as different object types, sizes, or complexity levels.

In the "Immutable.js" test case:

* The Immutable.js library is used to create and manipulate immutable data structures.
* The main option being compared is the execution time of setting new key-value pairs on an Immutable.Map instance using the `set` method.

**Pros and cons**

For the Object spread approach:

* Pros:
	+ Simple and straightforward implementation
	+ Easy to understand and optimize for performance
* Cons:
	+ May not be suitable for large or complex objects, as it can lead to inefficient memory allocation and deallocation

For the Immutable.js approach:

* Pros:
	+ Provides a more efficient and predictable way of working with immutable data structures
	+ Can help prevent common issues like object mutations and unexpected side effects
* Cons:
	+ May require additional setup and learning for developers who are not familiar with Immutable.js
	+ Can add overhead due to the creation and garbage collection of immutable objects

**Library: Immutable.js**

Immutable.js is a popular JavaScript library that provides a way to work with immutable data structures. It allows developers to create and manipulate data structures without modifying them directly, which can help prevent common issues like object mutations and unexpected side effects.

The library provides various data structure types, including Map, List, Set, and Record. In the provided benchmark, Immutable.Map is used to create a map-like data structure that can be updated by setting new key-value pairs using the `set` method.

**Special JS feature or syntax**

There are no special JavaScript features or syntaxes mentioned in the provided benchmark definition. However, it's worth noting that Immutable.js uses some advanced concepts like immutable data structures and the `set` method, which may not be familiar to all developers.

**Alternatives**

Some alternative approaches for comparing object spread and Immutable.js performance might include:

* Using a different library or framework for working with immutable data structures, such as Redux or MobX
* Comparing the performance of different object creation strategies, such as using constructors or instantiating objects directly
* Incorporating additional factors into the benchmark, such as memory allocation, garbage collection, or concurrent execution

Related benchmarks:

test object perfomance (version: 0)

Comparing performance of: object spread vs immutable-js

Created: 2 years ago by: Guest

Jump to the latest result

object spread

immutable-js

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):