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

Latest run results:

Run details: (Test run date: one month 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

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months 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.

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 2 months ago):