Benchmark: Test immutables data for map operation with Object.values()

HTML Preparation code:

<script type='text/javascript' src='https://cdnjs.cloudflare.com/ajax/libs/immutable/3.8.2/immutable.min.js'></script>

Script Preparation code:

var output = [
    {
        'key': 1
    },
    {
        'key': 1
    }
]

Tests:

Native map
var result = output.map(v => Object.values(v))
Immutable
var immutableData = Immutable.Seq(output) var result = immutableData.map(v => Object.values(v))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native map
Immutable

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 28 days 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 measure the performance of two approaches: native map operation using JavaScript's built-in `Object.values()` method, and immutable data structure approach using the Immutable.js library.

The benchmark definition json contains two scripts:

1. **Native Map**: The first script defines a variable `output` as an array of objects with a single property `key` set to 1. It then uses the native `map()` function to apply the transformation `v => Object.values(v)` to each element in the array.
2. **Immutable**: The second script imports the Immutable.js library and creates an immutable data structure from the original `output` array using `Immutable.Seq()`. It then applies the same transformation as the native map operation, but using the Immutable.js `map()` function.

**Options Compared**

The benchmark is comparing two approaches:

* **Native Map**: Using JavaScript's built-in `Object.values()` method to transform the data.
* **Immutable**: Using the Immutable.js library to create an immutable data structure and apply transformations to it.

**Pros and Cons of Each Approach**

**Native Map:**

Pros:

* Lighter weight and easier to implement, as it only requires a single function call.
* May be more familiar to developers who are used to working with native JavaScript data structures.

Cons:

* May not provide the same level of immutability and thread-safety guarantees as an immutable library like Immutable.js.
* Can lead to unexpected side effects if not implemented carefully, as it modifies the original array in place.

**Immutable:**

Pros:

* Provides a higher level of immutability and thread-safety guarantees, which can improve the overall reliability and stability of the code.
* Can help avoid common issues related to mutable state and side effects.

Cons:

* Heavier weight and more complex implementation, as it requires an additional library and setup.
* May require more boilerplate code and setup to achieve the same results as a native map operation.

**Library: Immutable.js**

The Immutable.js library is used to create immutable data structures and provide a way to apply transformations to them in a thread-safe manner. The `Immutable.Seq()` function is used to create an immutable sequence from the original array, and the `map()` function is used to apply the transformation to each element.

**Special JS Feature/ Syntax**

None mentioned explicitly in this benchmark.

**Other Considerations**

When considering performance-critical code or applications where immutability is crucial, it's essential to weigh the trade-offs between lightweight native solutions and more robust immutable libraries like Immutable.js. In general:

* If you need light weight and ease of implementation, a native map operation may be sufficient.
* However, if you require higher levels of immutability, thread-safety guarantees, and reliability, an immutable library like Immutable.js is likely a better choice.

**Alternatives**

Some alternative approaches to consider when working with arrays and data transformations in JavaScript include:

* Using `Array.prototype.reduce()` instead of `map()`
* Implementing custom iteration mechanisms using callbacks or promises
* Leveraging libraries like Lodash or Ramda for functional programming utilities
* Using Web Workers or worker threads for parallel processing

Latest run results:

Run details: (Test run date: 5 years ago)

User agent: Mozilla/5.0 (Linux; U; Android 8.1.0; ru-ru; Redmi 5 Plus Build/OPM1.171019.019) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/61.0.3163.128 Mobile Safari/537.36 XiaoMi/MiuiBrowser/10.4.3-g

Browser/OS: Chrome Mobile 61 on Android 8.1.0

View result in a separate tab

Test name	Executions per second
Native map	194129.1 Ops/sec
Immutable	121202.0 Ops/sec

Related benchmarks:

Test immutables data for map operation with Object.values() (version: 0)

Test immutables data for map operation with Object.values()

Comparing performance of: Native map vs Immutable

Created: 5 years ago by: Guest

Jump to the latest result

Native map

Immutable

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 28 days ago):