Benchmark: replaceall rgc/string

Script Preparation code:



function rgxReplace(str) {
	return str.replaceAll(/kiekeboe/g, 'KNAKKER') ;
}
function strReplace(str) {
	return str.replaceAll('kiekeboe', 'KNAKKER') ;
}

Tests:

test string replace
let str = 'kiekeboe is een raar woord. kiekeboe kiekeboe kiekeboe, dat klinkt gek'; str = strReplace(str)
test regex replace
let str = 'kiekeboe is een raar woord. kiekeboe kiekeboe kiekeboe, dat klinkt gek'; str =rgxReplace(str)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
test string replace
test regex replace

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.

**Benchmark Overview**

The provided JSON represents two JavaScript microbenchmarks: `replaceall rgc/string` and its variations for string replacement using regular expressions (`rgxReplace`) versus plain string replacement (`strReplace`). The benchmarks aim to compare the performance of these two approaches.

**Options Compared**

The main options compared in this benchmark are:

1. **Plain String Replacement (`strReplace`)**: This approach uses a simple string replacement method without regex.
2. **Regular Expression Replacement (`rgxReplace`)**: This approach utilizes regular expressions to perform the replacement.

**Pros and Cons of Each Approach**

**Plain String Replacement (`strReplace`)**

Pros:

* Typically faster than regex-based replacements due to its simplicity and reduced overhead.
* Easier to understand and implement for simple string manipulations.

Cons:

* May not be suitable for complex text processing tasks that require regex patterns.

**Regular Expression Replacement (`rgxReplace`)**

Pros:

* More flexible and powerful for handling complex text processing, pattern matching, and validation.
* Suitable for larger datasets or more intricate string manipulations.

Cons:

* Generally slower than plain string replacement due to the added overhead of compiling and executing regex patterns.
* Can be more prone to errors and security vulnerabilities if not used carefully.

**Other Considerations**

* The `strReplace` approach uses a simple `replaceAll` method, which may not cover all edge cases or specific requirements.
* The `rgxReplace` approach relies on the browser's built-in regex engine, which might have its own performance characteristics and limitations.

**Library Usage (none)**

There are no external libraries used in this benchmark. Both approaches utilize standard JavaScript methods for string manipulation.

**Special JS Features/Syntax**

None mentioned.

**Benchmark Results**

The latest benchmark results show that:

* `test string replace` yields an Execution Per Second of 3172146.75.
* `test regex replace` yields an Execution Per Second of 2909291.75.

These results suggest that the plain string replacement approach is faster in this specific benchmark, but it's essential to note that performance can vary greatly depending on the input data and specific use case.

**Alternatives**

Other alternatives for string replacement or regex-based processing include:

* Using a dedicated JavaScript library like `jsregex` or `regiolo` for more advanced regex functionality.
* Utilizing other programming languages, such as Python or C++, if performance is critical.
* Exploring alternative data structures or algorithms, like using an array of replacements instead of a single string replacement method.

Related benchmarks:

replaceall rgc/string (version: 0)

replaceall with regex en string

Comparing performance of: test string replace vs test regex replace

Created: 3 years ago by: Guest

Jump to the latest result

test string replace

test regex replace

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):