Benchmark: match vs split multiple test string

Script Preparation code:

string = "This benchmark is to {{teststring}} ask the ageold question, will it fast? We are s{{teststring}}plitting a string at spaces with two methods.";

Tests:

match
const count = (string.match(/{{teststring}}/g) || []).length
split
const count = string.split("{{teststring}}").length - 1;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
match
split

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark and explain what's being tested, compared, and their pros and cons.

**Benchmark Definition**

The benchmark defines two test cases: `match` and `split`. The script preparation code is a string that includes placeholders for template literals (`{{teststring}}`). This suggests that the benchmark aims to compare the performance of JavaScript's built-in regular expression method `match()` with the string splitting method `split()`.

**Test Cases**

1. **Match**: This test case uses the `match()` method to find all occurrences of a pattern in the string, replacing it with `{teststring}`. The resulting array length is then counted.
2. **Split**: This test case splits the input string into substrings at each occurrence of `{teststring}`, and then subtracts 1 from the total count of substrings.

**Library: String.prototype.match()**

The `match()` method uses a regular expression engine to find matches in the string. The regular expression `/{{teststring}}/g` is used, which:

* `/`: starts the pattern
* `{{teststring}}`: the actual pattern to match (template literal)
* `g`: global flag, causing the function to return all non-overlapping matches, or null if no match was found

**Library: String.prototype.split()**

The `split()` method splits a string into an array of substrings based on a specified separator. In this case, the separator is `{teststring}`.

**Special JS feature: Template literals**

Template literals (`{{teststring}}`) are used to create strings with placeholders that can be replaced at runtime. This feature allows for more concise and readable code compared to traditional string concatenation or interpolation methods.

**Pros and Cons**

* **Match()**
	+ Pros:
		- Can be used to extract data from a string using regular expressions
		- More flexible than simple substring replacement
	+ Cons:
		- May be slower due to the overhead of compiling the regular expression engine
		- May not be suitable for all types of data or patterns
* **Split()**
	+ Pros:
		- Generally faster and more efficient than `match()`
		- More straightforward and predictable behavior compared to regular expressions
	+ Cons:
		- Limited to splitting strings at a specified separator; may not work for complex patterns

**Other alternatives**

In addition to the built-in methods, other approaches could be used to achieve similar results, such as:

* Using a third-party library like `regex-escape` or `pattern-matching` for regular expression manipulation
* Implementing custom substring replacement or splitting logic using loops and string manipulation functions (e.g., `indexOf()`, `substr()`)

Keep in mind that the choice of approach depends on the specific requirements and constraints of your project.

Latest run results:

Run details: (Test run date: 3 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36 Edg/127.0.0.0

Browser/OS: Chrome 127 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
match	9012734.0 Ops/sec
split	15440789.0 Ops/sec

Related benchmarks:

match vs split multiple test string (version: 0)

Comparing performance of: match vs split

Created: 3 months ago by: Guest

Jump to the latest result

match

split

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):