Benchmark: Matching - MeasureThat.net

Script Preparation code:

var string = "Hello world!";
var arrExcl = ["Hi"];
var setExcl = new Set(arrExcl);
var regex = /Hi/;

Tests:

Set.has
setExcl.has(string)
Array.includes
arrExcl.includes(string)
RegEx.test
regex.test(string)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Set.has
Array.includes
RegEx.test

Fastest: N/A

Slowest: N/A

Latest run results:

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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 JavaScript microbenchmarks.

**Benchmark Definition**

The provided JSON represents a benchmark definition, which outlines the test scenario and setup for the microbenchmark. In this case, the benchmark is focused on comparing three different methods to search for a specific string within an array:

1. `Set.has(string)`: Using a Set data structure to store unique elements.
2. `Array.includes(string)`: Utilizing the `includes()` method in JavaScript arrays.
3. `RegEx.test(string)`: Leveraging regular expressions (RegEx) to match the target string.

**Script Preparation Code**

The script preparation code is responsible for setting up the test environment and variables:
```javascript
var string = "Hello world!";
var arrExcl = ["Hi"];
var setExcl = new Set(arrExcl);
var regex = /Hi/;
```
This code creates a sample array `arrExcl` containing a single element `"Hi"`, converts it to a Set `setExcl`, and defines a regular expression `regex` to match the string `"Hi"`.

**Comparison Options**

The three comparison options are:

1. **Set.has(string)**: Using a Set data structure to search for the target string.
	* Pros:
		+ Fast lookups, especially in large datasets.
		+ Efficient use of memory.
	* Cons:
		+ Sets are ordered, so searching for an element requires iterating through the set, which can be slower than other methods.
2. **Array.includes(string)**: Utilizing the `includes()` method in JavaScript arrays.
	* Pros:
		+ Fast and efficient lookup.
		+ Simple to implement.
	* Cons:
		+ May perform a linear search in large datasets.
3. **RegEx.test(string)**: Leveraging regular expressions to match the target string.
	* Pros:
		+ Flexible pattern matching capabilities.
		+ Can be faster than other methods for specific use cases.

**Library Usage**

In this benchmark, none of the comparison options rely on external libraries. However, if we were to extend the test cases, we might consider using additional libraries or frameworks to improve performance or add more complex functionality.

**Special JavaScript Features/Syntax**

None of the provided benchmark test cases utilize any special JavaScript features or syntax that would require a deeper understanding of modern JavaScript. However, it's worth noting that some browsers may have specific implementations of these methods or regex patterns that could affect performance.

**Other Alternatives**

If you were to create an alternative benchmark, you might consider exploring other comparison options, such as:

* Using a hash table (e.g., `Object.hasOwn()`) instead of a Set.
* Implementing a custom binary search algorithm for searching within arrays.
* Utilizing a more advanced regex engine or pattern matching library.
* Comparing performance using different data structures, such as linked lists or trees.

Keep in mind that the choice of comparison options and libraries ultimately depends on the specific use case and requirements of your benchmark.

Related benchmarks:

Matching (version: 0)

Comparing performance of: Set.has vs Array.includes vs RegEx.test

Created: 3 years ago by: Guest

Jump to the latest result

Set.has

Array.includes

RegEx.test

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):