Benchmark: json performance

Script Preparation code:

var data =  {
	"id": "0001",
	"type": "donut",
	"name": "Cake",
	"ppu": 0.55,
	"batters":
		{
			"batter":
				[
					{ "id": "1001", "type": "Regular" },
					{ "id": "1002", "type": "Chocolate" },
					{ "id": "1003", "type": "Blueberry" },
					{ "id": "1004", "type": "Devil's Food" }
				]
		},
	"topping":
		[
			{ "id": "5001", "type": "None" },
			{ "id": "5002", "type": "Glazed" },
			{ "id": "5005", "type": "Sugar" },
			{ "id": "5007", "type": "Powdered Sugar" },
			{ "id": "5006", "type": "Chocolate with Sprinkles" },
			{ "id": "5003", "type": "Chocolate" },
			{ "id": "5004", "type": "Maple" }
		]
}

Tests:

Simple json
let receivedData = data;
JSON.parse
let receivedDataParsed = JSON.parse(JSON.stringify(data));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Simple json
JSON.parse

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what's being tested, compared, and their pros and cons.

**Benchmark Definition**

The `json performance` benchmark is comparing two approaches to process JSON data: using the `JSON.parse()` method and using a simple assignment (`let receivedData = data;`).

**Test Case 1: Simple json**

This test case uses no library or special JavaScript feature. It simply assigns the entire `data` object to a variable named `receivedData`. This approach is straightforward and efficient, as it doesn't involve parsing or manipulating the JSON data.

Pros:

* Fast execution times
* No additional overhead from parsing or manipulation

Cons:

* Doesn't take advantage of any built-in optimization in JavaScript for handling large JSON objects
* May not be suitable for cases where the JSON data needs to be manipulated or processed further

**Test Case 2: JSON.parse**

This test case uses the `JSON.parse()` method to parse the JSON data. The `JSON.stringify()` function is used as a workaround, similar to how it's used in Test Case 1.

Pros:

* Can handle large JSON objects efficiently
* Allows for more control over the parsing process

Cons:

* Slower execution times compared to Test Case 1
* May involve additional overhead from parsing and manipulation

**Library Used: None**

The `JSON` library is a built-in JavaScript library that provides functions for working with JSON data. In this benchmark, it's used to parse the JSON string using `JSON.parse()`.

**Special JavaScript Feature: None**

There are no special JavaScript features or syntaxes being tested in this benchmark.

**Other Alternatives**

Other alternatives for processing JSON data include:

* Using a dedicated JSON parsing library like FastJSON or json5
* Utilizing Web Workers to parallelize the JSON parsing process
* Leveraging browser-specific optimization techniques, such as Firefox's built-in JSON parser

Keep in mind that these alternatives might not be relevant for this specific benchmark, and their pros and cons may vary depending on the use case.

Latest run results:

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

User agent: Mozilla/5.0 (Linux; Android 14; Pixel 7 Build/AP2A.240805.005; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/133.0.6835.0 Mobile Safari/537.36

Browser/OS: Chrome Mobile 133 on Android

View result in a separate tab

Test name	Executions per second
Simple json	9460470.0 Ops/sec
JSON.parse	242712.9 Ops/sec

Related benchmarks:

json performance (version: 0)

json vs json.parse

Comparing performance of: Simple json vs JSON.parse

Created: 4 years ago by: Registered User

Jump to the latest result

Simple json

JSON.parse

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):