Benchmark: JSON.parse vs string.split.map(Number)

Script Preparation code:

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

Tests:

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

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
String.split.map(Number)
JSON.parse

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 what's being tested in the provided JSON.

**Benchmark Definition**

The benchmark is comparing two approaches:

1. **String Split and Map**: This approach splits a string into an array using `str.split(',')` and then maps each element to a number using `map(Number)`. The purpose of this test seems to be evaluating the performance of JavaScript's built-in string manipulation functions.
2. **JSON Parse**: This approach parses a JSON-formatted string into a JavaScript object using `JSON.parse(str)`.

**Comparison Options**

The two approaches differ in how they process the input data:

* String Split and Map: This approach splits the input array into individual elements, converts each element to a number, and then returns an array of numbers. This approach can be slow for large arrays because it involves multiple iterations over the data.
* JSON Parse: This approach parses the entire string at once, converting all elements to numbers in a single step. This approach is likely faster for large arrays because it minimizes the number of iterations over the data.

**Pros and Cons**

Here are some pros and cons of each approach:

String Split and Map:
Pros:

* Easy to understand and implement
* Can be used with any type of string

Cons:

* Slow for large arrays due to multiple iterations
* May not be as efficient as other approaches that process the data in a single step

JSON Parse:
Pros:

* Fast for large arrays because it minimizes iterations
* Efficiently processes JSON-formatted strings

Cons:

* Limited to parsing JSON-formatted strings only
* Requires additional libraries or modifications for non-JSON data

**Library and Purpose**

In this benchmark, the `JSON` library is used to parse JSON-formatted strings. The purpose of this library is to provide a standardized way of representing and manipulating JSON data in JavaScript.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark that require specific handling or optimization. However, it's worth noting that the `map` method is used with the `Number` function, which is a built-in JavaScript function for converting strings to numbers.

**Other Alternatives**

If you need to compare other string manipulation approaches, some alternatives might include:

* Using regular expressions to split and extract data
* Using array methods like `forEach`, `reduce`, or `every`
* Using optimized library functions like `lodash`'s `at` method

Keep in mind that these alternatives may have different performance characteristics depending on the specific use case.

I hope this explanation helps!

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.110 Safari/537.36

Browser/OS: Chrome 96 on Windows

View result in a separate tab

Test name	Executions per second
String.split.map(Number)	2145.0 Ops/sec
JSON.parse	4725.6 Ops/sec

Related benchmarks:

JSON.parse vs string.split.map(Number) (version: 0)

Comparing performance of: String.split.map(Number) vs JSON.parse

Created: 2 years ago by: Guest

Jump to the latest result

String.split.map(Number)

JSON.parse

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):