Benchmark: test string1 - MeasureThat.net

HTML Preparation code:

<div></div>

Script Preparation code:

var TOTAL_STRINGS = 100000;
var tags = [];
while (tags.length < TOTAL_STRINGS) {
	tags.push('letter(A1,A)');
	tags.push('letter(A)');
}

Tests:

startsWith
tags.forEach(function (tag) { if (tag.startsWith('letter(') && tag.endsWith(')')) { var res = tag.replace('letter(', '').replace(')', '').split(','); } });
match
tags.forEach(function (tag) { var res = tag.match(/^letter$([a-z]{1}[1-9]?),?([a-z]?)$$/i); if (res) { } });
indexOf
tags.forEach(function (tag) { var i1 = tag.indexOf('letter('); var i2 = tag.indexOf(')'); if (i1 > -1 && i2 > -1) { var res = tag.substring(i1, i2).split(','); } });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
startsWith
match
indexOf

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

I'll break down the provided JSON benchmark definition, test cases, and latest benchmark results to help explain what's being tested.

**Benchmark Definition**

The benchmark definition provides some basic metadata about the test:

* `Name`: The name of the test case, which is "test string1".
* `Description`: An empty field that doesn't provide any additional information.
* `Script Preparation Code`: A JavaScript snippet that generates an array of 100,000 tags in the format "letter(A1,A)" and "letter(A)". This script is executed before running the test. The purpose of this code is to create a large dataset for testing string matching functions.

The `Html Preparation Code` is empty, which means no HTML-related setup is needed for this benchmark.

**Individual Test Cases**

There are three test cases that compare different string matching approaches:

1. **startsWith**
	* The benchmark definition uses the `forEach` loop and checks if a tag starts with "letter(" followed by any characters (including commas) before a closing parenthesis.
	* This approach is simple but might be slower than other methods, especially for large datasets.
	* Pros: Easy to implement and understand. Cons: May not be optimized for performance.
2. **match**
	* The benchmark definition uses the `match` function with a regular expression that matches "letter(" followed by any characters (including commas) before a closing parenthesis.
	* This approach is generally faster than the `startsWith` method, especially for large datasets.
	* Pros: Can be optimized for performance. Cons: Requires understanding of regular expressions and might be less intuitive.
3. **indexOf**
	* The benchmark definition uses the `indexOf` function to find the index of "letter(" and then extracts a substring using `substring`.
	* This approach is similar to the `startsWith` method but uses `indexOf` instead.
	* Pros: Can be optimized for performance. Cons: Requires understanding of string indexing and might be less intuitive.

**Library and Special Features**

In the script preparation code, no libraries are used explicitly. However, the regular expression in the `match` test case uses special features like:

* `^`: Matches the start of a string.
* `$`: Matches the end of a string (not used in this example).
* `\(`: Escapes the opening parenthesis to prevent it from being interpreted as a special character.

These features are part of JavaScript's regular expression syntax, which is widely supported across browsers and platforms.

**Alternatives**

There are other string matching approaches that could be used for benchmarking, such as:

* `includes`: This method checks if a tag includes the specified substring. It might be slower than `startsWith` or `match`.
* `String.prototype.includes()` (if available): Some older browsers might not support this method.

Related benchmarks:

test string1 (version: 0)

Comparing performance of: startsWith vs match vs indexOf

Created: 5 years ago by: Guest

Jump to the latest result

startsWith

match

indexOf

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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