Benchmark: split1 vs regex - MeasureThat.net

Script Preparation code:

var date = "2023-10-10T10:02:54.959-12:12"

Tests:

test1
var regex = /^([+-]?\d{6}|\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\d|3[01])T([01]\d|2[0-3]):[0-5]\d:[0-5]\d\.\d{1,3}([+-]([01]\d|2[0-3]):[0-5]\d|Z)$/; var result = regex.test(date); console.log(result);
test2
var split = date.split("\s:+-") console.log(split)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
test1
test2

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.

**What is being tested?**

The benchmark compares the performance of two approaches to parse and manipulate a date string:

1. **Regex (Regular Expression) approach**: The first test case uses a regular expression to extract the year, month, day, hour, minute, second, and timezone from the input date string.
2. **Split function approach**: The second test case splits the input date string into substrings using a specific delimiter.

**Options being compared**

The benchmark is comparing the performance of these two approaches on the same input data.

**Pros and Cons of each approach:**

1. **Regex approach**:
	* Pros: Can be more flexible and powerful for complex parsing tasks, can handle various date formats.
	* Cons: Can be slower due to the overhead of compiling regular expressions, may require more CPU resources.
2. **Split function approach**:
	* Pros: Faster execution speed, as it's a built-in JavaScript function optimized for performance.
	* Cons: Limited flexibility and may not work well with complex date formats.

**Other considerations**

Both approaches have their own strengths and weaknesses:

* Regex approach can be more suitable when dealing with complex or non-standard date formats.
* Split function approach is generally faster and more lightweight, making it a good choice for simple date manipulation tasks.

**Libraries used (if any)**

In this benchmark, there are no external libraries explicitly mentioned. However, the `Date` object is being used to parse the date string, which is part of the JavaScript standard library.

**Special JS feature or syntax**

There doesn't seem to be any special JS features or syntax being used in these test cases. The focus is on comparing the performance of two approaches.

**Other alternatives**

Some alternative approaches that might be considered for parsing and manipulating dates include:

* Using a dedicated date parsing library, such as Moment.js
* Utilizing a JavaScript implementation of the International Organization for Standardization (ISO) 8601 standard for date and time representation.
* Leveraging browser-specific APIs or functions, like `Date.parse()` or `Intl.DateTimeFormat`

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36

Browser/OS: Chrome 105 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
test1	340993.8 Ops/sec
test2	320010.8 Ops/sec

Related benchmarks:

split1 vs regex (version: 0)

Testing regex speed against split speed on a given string

Comparing performance of: test1 vs test2

Created: one year ago by: Guest

Jump to the latest result

test1

test2

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):