Benchmark: Number extraction - Regex vs split

Script Preparation code:

var str = '1 11 111 1111 11111 11111 1111 22 123 2837 213621 31236 3 61263 366 37631649 11 9846185 6146 1246 4691 264046 046 04 612048 6124 61204 612046 1246 12046 180461 084601246 10 461204 612048 612046 1204 612046 1204 61204 6048 612048 61204612046120461204612046120 4612 461204 612046 1204 61204 612046 1204 612048 612 84612048 612048 61204 61204 612064 102 46120 461204 612046 12046 12046 12046 12046 1204 61204 61204 612046 12046 1204 6184 61846 164 120 6412046 124 612 461204 612046 12064 102 6410246 10246 10264 108246 1846120486108466 410264 12 46120 4614 6120 46120 46120 4612 46120 46120 46120 461204 61246146 1064 12064 01264 1';

Tests:

Regex
str.matchAll(/\d{1,}/g);
Split
str.split(' ');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Regex
Split

Fastest: N/A

Slowest: N/A

Latest run results:

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

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

**Benchmark Definition JSON**

The benchmark measures the performance of two different approaches to extract numbers from a string: regular expressions (Regex) and splitting the string by spaces.

**Options Compared**

1. **Regex**: The `str.matchAll` method uses regular expressions to find all matches of `\d{1,}` in the input string. This approach is used as the baseline for comparison.
2. **Split**: The `str.split(' ')` method splits the input string into an array of substrings using spaces as delimiters. This approach is compared to Regex.

**Pros and Cons**

1. **Regex**:
	* Pros: Can be more flexible and powerful, but also slower due to the complexity of regular expressions.
	* Cons: May have performance issues with large inputs or complex patterns.
2. **Split**:
	* Pros: Generally faster than Regex for simple string splitting tasks.
	* Cons: May not work well with non-space delimiters or mixed data types.

**Other Considerations**

* The benchmark uses a very long input string (`str`) to test the performance of both approaches. This is likely done to ensure that the results are representative of real-world scenarios.
* The `matchAll` method returns an iterator, which may be more efficient than creating an array of matches using `Array.from()`.
* The `split` method returns an array of substrings, which can be useful if you need to process the extracted values further.

**Library and Purpose**

The `String.prototype.matchAll()` method is a modern JavaScript method introduced in ECMAScript 2017 (ES7). It uses regular expressions to find all matches in a string and returns an iterator with match arrays.

**Special JS Feature or Syntax**

There are no special features or syntaxes used in this benchmark. However, it's worth noting that the `matchAll` method is part of the JavaScript Standard Library and is widely supported by modern browsers.

**Other Alternatives**

If you need to extract numbers from a string, other alternatives include:

1. **Using a library like ` numeral.js`**: A lightweight JavaScript library specifically designed for parsing and manipulating numbers.
2. **Using a different regular expression pattern**: Depending on the specific requirements of your use case, you may be able to improve performance by using a more optimized regular expression pattern.
3. **Using a different splitting strategy**: If you need to extract numbers from a string with non-space delimiters, you may want to consider using a different approach, such as using a `forEach` loop or a library like `lodash`.

In conclusion, the benchmark measures the performance of two common approaches for extracting numbers from a string: regular expressions and splitting by spaces. The choice between these approaches depends on your specific requirements and the characteristics of your input data.

Related benchmarks:

Number extraction - Regex vs split (version: 0)

Comparing performance of: Regex vs Split

Created: 5 years ago by: Guest

Jump to the latest result

Regex

Split

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):