Benchmark: String compare VS regex

Script Preparation code:

a = ['some_string', 'some_strings', 'other_string', 'end_other_string']

Tests:

Compare
for (let item of a) { console.log(item === 'some_strings' || item === 'some_string') }
Regex
const regex = new RegExp(/some_strings?/i); for (let item of a) { console.log(regex.test(item)); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Compare
Regex

Fastest: N/A

Slowest: N/A

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/135.0.0.0 Safari/537.36

Browser/OS: Chrome 135 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Compare	61890.0 Ops/sec
Regex	57190.6 Ops/sec

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

LLMs can make mistakes. Check important info.

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

**Benchmark Definition**

The benchmark is defined in two parts: Script Preparation Code and Html Preparation Code (which is empty). The Script Preparation Code defines an array `a` containing four string values: `'some_string'`, `'some_strings'`, `'other_string'`, and `'end_other_string'`. This array will be used as input for the benchmark.

**Individual Test Cases**

There are two test cases:

1. **Compare**: This test case uses a simple comparison operator (`===`) to check if each string in the `a` array matches either `'some_strings'` or `'some_string'`.
2. **Regex**: This test case uses a regular expression (regex) to match strings against a pattern (`/some_strings?/i`). The regex pattern `/some_strings?/i` is used with the `i` flag, which makes the matching case-insensitive.

**Options Compared**

In this benchmark, two approaches are compared:

* **Compare**: uses simple string comparison using the `===` operator.
* **Regex**: uses a regular expression to match strings against a pattern.

**Pros and Cons of Each Approach**

* **Compare**:
	+ Pros: Simple to implement, fast (no overhead from regex parsing).
	+ Cons: May not be case-insensitive (since it relies on the `===` operator), may have performance issues for large datasets.
* **Regex**:
	+ Pros: Can handle complex patterns, can be case-insensitive with the `i` flag, can perform searching and matching efficiently.
	+ Cons: Requires more overhead from regex parsing, may be slower than simple string comparison.

**Libraries Used**

There is no library explicitly mentioned in the benchmark definition. However, it's likely that the test cases use built-in JavaScript features, such as regular expressions (`RegExp`), to implement the `Regex` test case.

**Special JS Features or Syntax**

The benchmark uses a few special features:

* **Template literals**: The Script Preparation Code uses template literals (e.g., `'some_string'`) to define string values.
* **Arrow functions**: The Benchmark Definition code uses arrow functions (e.g., `(let item of a) { ... }`).
* **Regular expressions**: The Regex test case uses regular expressions with the `i` flag for case-insensitive matching.

**Other Alternatives**

If you were to rewrite this benchmark, you could consider alternatives such as:

* Using a library like `regex-test` or `regex-comparison` to simplify regex testing and comparison.
* Using a different string comparison approach, such as using the `String.prototype.includes()` method or a custom implementation of a Levenshtein distance algorithm.
* Adding more test cases with varying inputs (e.g., strings with punctuation, special characters) to make the benchmark more comprehensive.

Overall, this benchmark is designed to compare the performance of simple string comparison against regular expression matching for a specific use case.

Related benchmarks:

String compare VS regex (version: 0)

Comparing performance of: Compare vs Regex

Created: 5 years ago by: Guest

Jump to the latest result

Compare

Regex

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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