Benchmark: JSON.parse vs string.split

Script Preparation code:

var array = new Array(5000).fill('1').map(() => Math.random().toString());
var str = JSON.stringify(array);

Tests:

JSON.parse
JSON.parse(str);
String.split
str.split(',')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
JSON.parse
String.split

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

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

**Benchmark Overview**

The benchmark measures the performance difference between two methods: `JSON.parse()` and `string.split()`. The script preparation code creates an array of 5000 random strings, converts it to a JSON string using `JSON.stringify()`, and then provides two test cases:

1. `JSON.parse(str);`
2. `str.split(',');`

**Options Compared**

The benchmark compares the execution time of two approaches:

* **`JSON.parse()`**: A JavaScript method that parses a JSON string into a JavaScript object.
* **`string.split(',')```**: A string method that splits a string into an array using a specified separator (in this case, a comma).

**Pros and Cons**

Here's a brief analysis of each approach:

* `JSON.parse()`: This method is designed to parse a specific data format, which can lead to:
	+ Better performance for large datasets, as it's optimized for parsing JSON.
	+ Potential security risks if the input string is not validated properly.
* `string.split(',')```**: This method is a general-purpose string splitting technique that can be used with various separators. However, it may lead to:
	+ Poor performance for very large or complex strings, as it uses regular expression matching.

**Library and Special Features**

In this benchmark, the following libraries are not explicitly mentioned, but their use implies:

* `JSON.stringify()` is a built-in JavaScript method that converts a JavaScript object into a JSON string.
* Regular expressions (regex) are used in `string.split(',')```, which is a common feature in JavaScript.

**Other Considerations**

When dealing with large datasets and performance-critical code, consider the following:

* Always validate input data to prevent security risks.
* Optimize data formats for your specific use case, as some formats may be more efficient than others.
* Be mindful of the trade-offs between precision, security, and performance.

**Alternatives**

If you're looking for alternative methods or libraries, consider:

* Using a dedicated JSON parser library, such as `fast-json-parser` or `json-stringify-safe`.
* Implementing custom string splitting algorithms using regex or other techniques.
* Exploring alternative data formats, like CSV or XML, which may offer better performance characteristics.

In summary, the benchmark measures the performance difference between two methods: `JSON.parse()` and `string.split()`. While `JSON.parse()` is optimized for parsing JSON and may lead to better performance, it also introduces security risks. The choice of approach depends on your specific use case, data format, and requirements.

Latest run results:

Run details: (Test run date: 15 hours ago)

User agent: Mozilla/5.0 (iPhone; CPU iPhone OS 18_0_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) CriOS/131.0.6778.73 Mobile/15E148 Safari/604.1

Browser/OS: Chrome Mobile iOS 131 on iOS 18.0.0

View result in a separate tab

Test name	Executions per second
JSON.parse	5095.7 Ops/sec
String.split	6838.7 Ops/sec

Related benchmarks:

JSON.parse vs string.split (version: 1)

Comparing performance of: JSON.parse vs String.split

Created: 4 years ago by: Registered User

Jump to the latest result

JSON.parse

String.split

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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