Benchmark: fastest way to convert set to array

Script Preparation code:

var set = new Set([1,41,23,12321,-3, .13, () => {}, {}, []]);
var arrFrom = Array.from;

Tests:

spread operator
[...set];
cached array.from
arrFrom(set);
uncached array.from
Array.from(set);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
spread operator
cached array.from
uncached array.from

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36

Browser/OS: Chrome 126 on Windows

View result in a separate tab

Test name	Executions per second
spread operator	6533459.0 Ops/sec
cached array.from	770969.0 Ops/sec
uncached array.from	2731311.8 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark definition is a JSON object that provides information about the test case:
```json
{
  "Name": "fastest way to convert set to array",
  "Description": null,
  "Script Preparation Code": "var set = new Set([1,41,23,12321,-3, .13, () => {}, {}, []]);\r\nvar arrFrom = Array.from;",
  "Html Preparation Code": null
}
```
Here's what's happening:

* A `Set` object is created with some elements.
* The `Array.from()` method is assigned to the variable `arrFrom`.
* This sets up the test case by preparing the input data and defining the function to convert the Set to an array.

**Individual Test Cases**

There are three individual test cases:
```json
[
  {
    "Benchmark Definition": "[...set];",
    "Test Name": "spread operator"
  },
  {
    "Benchmark Definition": "arrFrom(set);",
    "Test Name": "cached array.from"
  },
  {
    "Benchmark Definition": "Array.from(set);",
    "Test Name": "uncached array.from"
  }
]
```
Each test case defines a different way to convert the Set to an array:

1. `spread operator`: This uses the spread operator (`[...set]`) to create a new array from the Set.
2. `cached array.from`: This uses the cached version of `Array.from()` (since it was previously assigned to the `arrFrom` variable).
3. `uncached array.from`: This uses the default, uncached version of `Array.from()`.

**Options Compared**

The benchmark is comparing three different approaches:

1. Spread operator (`[...set]`)
2. Cached `array.from()`
3. Uncached `array.from()`

Each approach has its pros and cons:

* **Spread Operator**: Pros:
	+ Simple to use
	+ Works for any Set.
Cons:
	+ May have performance overhead due to the spread operator creation.
* **Cached array.from()**: Pros:
	+ Can be faster since the result is cached.
Cons:
	+ Requires an initial assignment of `array.from()` before using it, which may incur some overhead.
* **Uncached array.from()**: Pros:
	+ Simple and straightforward.
Cons:
	+ May have performance overhead due to repeated function calls.

**Other Considerations**

The benchmark is likely running on a variety of browsers and platforms, so the results may vary depending on the specific environment. Additionally, the use of `new Set()` creates an immutable Set object, which can affect performance.

**Libraries Used**

None are explicitly mentioned in this benchmark definition.

**Special JavaScript Features/Syntax**

The spread operator (`[...set]`) is a new feature introduced in ECMAScript 2015 (ES6). It allows creating a new array from an iterable source. This feature was not available in earlier versions of JavaScript and may require specific browser support.

That's a summary of the benchmark!

Related benchmarks:

fastest way to convert set to array (version: 0)

Comparing performance of: spread operator vs cached array.from vs uncached array.from

Created: 3 years ago by: Guest

Jump to the latest result

spread operator

cached array.from

uncached array.from

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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