Benchmark: JSON.parse vs dataview

Script Preparation code:

var intObj = []

function getRandomArbitrary(min, max) {
  return Math.random() * (max - min) + min;
}

for(let i = 0; i < 250000; i++) {
  intObj.push(getRandomArbitrary(0, 1000000));
}

var buffer = new ArrayBuffer(4 + (intObj.length * 4));
var dv = new DataView(buffer);
dv.setInt32(0, intObj.length);
for(let i = 0; i < intObj.length; i++) {
  dv.setInt32(4 + (i * 4), intObj[i]);
}

var stringy = JSON.stringify(intObj);

Tests:

JSON
let parsed = JSON.parse(stringy); let a; a = parsed;
dataview
let newView = new DataView(dv.buffer); let offset = 0; let count = newView.getInt32(offset); offset += 4; for(let i = 0; i < count; i++) { let value = newView.getInt32(offset); offset += 4; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
JSON
dataview

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 8 months ago)

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:146.0) Gecko/20100101 Firefox/146.0

Browser/OS: Firefox 146 on Linux

View result in a separate tab

dataview

14K/s

JSON

94/s

View exact numbers

Test name	Executions per second
✓ dataview	13,918 Ops/sec
JSON	94 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 provided benchmark and its test cases.

**Benchmark Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided benchmark compares two approaches: `JSON.parse()` and `DataView` (also known as `dataview`). Both methods are used to parse an array of integers, but they differ in how they represent the data.

**Benchmark Definition JSON**

The benchmark definition JSON contains:

* `"Name"`: The name of the benchmark, which is "JSON.parse vs dataview".
* `"Script Preparation Code"`: A JavaScript code snippet that prepares the test data. This code creates an array `intObj` with 250,000 random integers and converts it to a string using `JSON.stringify()`. It also creates a new `ArrayBuffer` and a `DataView` object to store the parsed integer values.
* `"Html Preparation Code"`: An empty string, indicating that no HTML preparation code is required.

**Individual Test Cases**

There are two test cases:

1. **"JSON"`**
	* The benchmark definition contains the line `let parsed = JSON.parse(stringy);`. This line uses `JSON.parse()` to parse the converted integer array.
	* There is no additional code that modifies or manipulates the parsed data.
2. **"dataview"`**
	* The benchmark definition contains a block of code that creates a new `DataView` object, reads the integer values from the buffer, and assigns them to a variable `value`.
	* This code appears to be using the `DataView` API to access the parsed data without parsing it again.

**Pros and Cons**

* **JSON.parse()**:
	+ Pros: Simple, widely supported, and easy to understand.
	+ Cons: May involve additional overhead due to string manipulation and parsing.
* **dataview (DataView)**:
	+ Pros: Can potentially be faster since it avoids the overhead of parsing and string manipulation.
	+ Cons: Requires understanding of the `DataView` API and its limitations.

**Library/Technology Used**

In this benchmark, the following libraries or technologies are used:

* `JSON`: A built-in JavaScript object that provides methods for working with JSON data.
* `DataView`: A browser API that allows reading and writing binary data in a typed array.

**Special JS Feature/Syntax**

There is no special JavaScript feature or syntax mentioned in this benchmark. The focus is on the comparison between two approaches to parse an integer array.

**Alternatives**

If you were to modify this benchmark, some alternatives could be:

* Using `BigInt` instead of integers: This would allow for larger integers and potentially different performance characteristics.
* Adding more test cases: For example, testing with larger or smaller arrays, or using different data types (e.g., floats).
* Using different browsers or environments: This would help to isolate browser-specific issues and provide a more comprehensive understanding of the benchmark's behavior.

JSON.parse vs dataview (version: 0)

Comparing performance of: `JSON vs dataview`

Created: 2 years ago by: Guest

Go to the latest result

JSON

dataview

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

JSON.parse vs dataview (version: 0)

Comparing performance of: JSON vs dataview

Created: 2 years ago by: Guest

Go to the latest result

JSON

dataview

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

Comparing performance of: `JSON vs dataview`