Benchmark: test split vs match regex

Script Preparation code:

var cookie = "_ga=GA1.1.12345678.87654321"

Tests:

split + split
cookie.split("_ga=")[1].split(";");
match + regex
cookie.match(/_ga=GA1\.[0-9]{1}\.([^;]+)/);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
split + split
match + regex

Fastest: N/A

Slowest: N/A

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/100.0.4896.75 Safari/537.36

Browser/OS: Chrome 100 on Windows

View result in a separate tab

Test name	Executions per second
split + split	4455877.0 Ops/sec
match + regex	8546470.0 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 benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark is designed to compare two approaches for extracting data from a string: splitting vs using regular expressions (regex). The test cases are focused on extracting a specific cookie value from a string that contains the "_ga" parameter.

**Options Compared**

Two options are compared:

1. **Splitting**: This approach uses the `split()` method to split the input string into an array of substrings, and then extracts the desired cookie value from one of those substrings.
2. **Regex**: This approach uses regular expressions (regex) to match a pattern in the input string and extract the desired cookie value.

**Pros and Cons of Each Approach**

**Splitting:**

Pros:

* Easy to understand and implement
* Fast execution, especially for simple cases

Cons:

* May not work correctly if the input string is malformed or contains unexpected characters
* Can be slow for large input strings or complex patterns

**Regex:**

Pros:

* Flexible and powerful pattern matching capabilities
* Can handle complex patterns and edge cases

Cons:

* Steeper learning curve due to the complexity of regex syntax
* May be slower than splitting for simple cases, but can be faster for more complex cases

**Library Used**

The `match()` method is used in one of the test cases. The `match()` method is a built-in JavaScript method that returns an array containing the matched text and any captured groups (if present).

In this case, the regex pattern `/_ga=GA1\.[0-9]{1}\.([^;]+)/` is used to match the desired cookie value. This pattern uses:

* `_ga=GA1`: a literal string
* `.`: matches any single character
* `[0-9]{1}`: matches exactly one digit (the first of two digits in the cookie value)
* `[^;]+`: matches any characters except semicolon (`;`) until the end of the string

**Special JS Feature or Syntax**

None are explicitly mentioned in this benchmark.

**Other Alternatives**

If you need to extract data from strings, other approaches might include:

1. Using a dedicated library like `js-cookie` for handling cookies
2. Using a templating engine like Handlebars or Mustache
3. Implementing custom logic using JavaScript functions

In summary, the benchmark is designed to compare two simple approaches for extracting data from strings: splitting vs regex. The test cases cover common use cases and highlight the pros and cons of each approach, as well as the flexibility and power of regex in handling complex patterns.

Related benchmarks:

test split vs match regex (version: 0)

Comparing performance of: split + split vs match + regex

Created: 2 years ago by: Guest

Jump to the latest result

split + split

match + regex

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):