Benchmark: str.match vs str.Split filter

Script Preparation code:

string = "This is a benchmark to test if matching a regex is faster that splitting a string";
regex = /\S+/gi;

Tests:

String.split
string.split(" ").map((x) => x.trim()).filter(Boolean)
Regex.match
string.match(regex)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
String.split
Regex.match

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 break down what's being tested in this benchmark and explain the options, pros, cons, and other considerations.

**What is being tested?**

The benchmark compares the performance of two approaches: string splitting using `String.split()` and regular expression matching using `string.match()`. Specifically, it tests the `map()` and `filter()` methods after splitting a string at spaces.

**Options compared:**

1. **String.split()**: This method splits a string into an array of substrings using a specified separator (in this case, a single space). The resulting array is then processed using `map()` to trim each element and `filter()` to remove empty strings.
2. **Regex.match()**: This method tests if a string matches a given regular expression. In this benchmark, it's used with the `/\\S+/gi` regex pattern, which matches one or more non-space characters (equivalent to splitting at spaces) in a case-insensitive manner.

**Pros and Cons:**

1. **String.split()**:
	* Pros:
		+ Efficient for exact string splits.
		+ Easy to understand and implement.
	* Cons:
		+ May not work as expected with edge cases (e.g., split on an empty separator).
2. **Regex.match()**:
	* Pros:
		+ Flexible for various splitting scenarios (e.g., non-space characters, case-insensitive).
	* Cons:
		+ Generally slower than `String.split()` due to the overhead of regular expression processing.
		+ May be more error-prone if not used correctly.

**Library:**

The benchmark doesn't explicitly mention a library, but it uses the built-in `String` and `RegExp` objects in JavaScript. These are part of the ECMAScript standard and don't require any external libraries.

**Special JS feature or syntax:**

There's no special JavaScript feature or syntax used in this benchmark that would be unfamiliar to most software engineers. However, if you're not familiar with regular expressions, it might take some time to understand the `/\\S+/gi` pattern used in `Regex.match()`.

**Other considerations:**

1. **Browser differences**: The benchmark is executed on a specific Chrome browser version (113), which may not be representative of other browsers.
2. **Device and platform variations**: The benchmark runs on desktop devices with Windows operating systems, which might affect the results due to system-specific factors.

**Alternatives:**

If you need more control over string splitting or regular expression processing, consider using libraries like:

1. **Lodash**: Provides a range of utility functions for string manipulation, including `string.prototype.split()` and regex-based matching.
2. **Regexp**: A lightweight JavaScript library specifically designed for regular expressions.

Keep in mind that using external libraries might introduce additional overhead and dependencies to your project.

In summary, the benchmark compares the performance of two approaches: string splitting using `String.split()` and regular expression matching using `string.match()`. While `String.split()` is generally faster and more efficient, `Regex.match()` offers flexibility for various splitting scenarios.

Related benchmarks:

str.match vs str.Split filter (version: 0)

Test String.match with regex against String.split with string. We are splitting a string at the spaces.

Comparing performance of: String.split vs Regex.match

Created: 2 years ago by: Guest

Jump to the latest result

String.split

Regex.match

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):