Benchmark: RegEx vs Include All

Script Preparation code:

var regex_userTags = "freq/4|freq_first/0-10|deny_list";
var regex_includeAll = /^(?=.*deny_list)(?=.*freq_first\/0-10).*$/i;

var arr_userTags = ["freq/4", "freq_first/0-10", "deny_list"];
var arr_includeAll = ['deny_list', 'freq_first/0-10'];

Tests:

RegEx
regex_includeAll.test(regex_userTags);
includeAll
arr_userTags.every(tag => arr_includeAll.includes(tag));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
RegEx
includeAll

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36

Browser/OS: Chrome 145 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
RegEx	14020031.0 Ops/sec
includeAll	105750584.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of MeasureThat.net and analyze the provided benchmark.

**Benchmark Purpose**

The goal of this benchmark is to compare two approaches: using regular expressions (regex) in JavaScript and using an array method (`includes`) to check if an element exists in another array. The benchmark aims to determine which approach is faster for a specific use case.

**Options Compared**

We have two options being compared:

1. **RegEx**: Using regular expressions in JavaScript to match the `regex_userTags` string.
2. **includeAll**: Using the `includes` method on an array (`arr_includeAll`) to check if each element of `arr_userTags` exists in `arr_includeAll`.

**Pros and Cons**

**RegEx**

Pros:

* Can be used for complex pattern matching
* Often faster than simple string comparisons

Cons:

* Can be slower for simple cases due to overhead and complexity
* May not perform well on very large datasets

**includeAll**

Pros:

* Faster for small to medium-sized datasets due to the simplicity of the `includes` method
* More readable and maintainable code

Cons:

* Requires an array to check against, which can be less efficient than a regex
* Less flexible than regex for complex pattern matching

**Other Considerations**

* The use of `i` flag in the `regex_includeAll` regular expression ensures case-insensitive matching.
* The `every` method is used with a callback function to iterate over the `arr_userTags` array and check if each element exists in `arr_includeAll`.
* Both approaches are vulnerable to performance issues if the dataset is extremely large.

**Library/Language Features**

In this benchmark, we don't see any library or language features that require special explanation. The code uses standard JavaScript features like regular expressions, arrays, and methods (e.g., `every`, `includes`).

**Alternatives**

If you're interested in exploring alternative approaches to this benchmark, here are a few options:

1. **Use a different data structure**: Instead of using an array (`arr_includeAll`) to check against, try using an object or a Map.
2. **Experiment with caching**: Implement caching mechanisms to reduce the number of times the `regex_userTags` and `arr_includeAll` values are recalculated.
3. **Try parallel processing**: Use parallel processing techniques (e.g., Web Workers) to execute both test cases concurrently.

Keep in mind that modifying the benchmark can significantly alter its focus and outcome, so it's essential to carefully consider any changes before running the benchmark again.

Related benchmarks:

RegEx vs Include All (version: 0)

Comparing performance of: RegEx vs includeAll

Created: 3 years ago by: Guest

Jump to the latest result

RegEx

includeAll

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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