Benchmark: standard replaceAll vs regex replace

Tests:

replace regex
"this is it".replace(/ /g, "+");
replace All
"this is it".replaceAll(" ", "+");

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
replace regex
replace All

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4692.99 Safari/537.36

Browser/OS: Chrome 97 on Linux

View result in a separate tab

Test name	Executions per second
replace regex	4853595.0 Ops/sec
replace All	4106734.5 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark definition and test cases, explaining what's being tested, the pros and cons of different approaches, and other considerations.

**Benchmark Definition**

The provided JSON represents a benchmark that compares two approaches for replacing whitespace characters in a string:

1. `replace` method (using regular expressions)
2. `replaceAll` method (using a custom implementation)

**Script Preparation Code**

There is no script preparation code provided. This might indicate that the testing environment is minimal, or the script is already set up to run without any external dependencies.

**Html Preparation Code**

Similarly, there is no html preparation code provided. This suggests that the benchmark is focused on JavaScript performance and doesn't require any HTML setup.

**Individual Test Cases**

Let's analyze each test case:

1. **"replace regex"`**
	* Benchmark Definition: `"this is it".replace(/ /g, "+");"`
	* This test case measures the performance of using a regular expression to replace whitespace characters with `+` characters.
2. **"replace All"`**
	* Benchmark Definition: `"this is it".replaceAll(" ", "+");`
	* This test case measures the performance of using a custom implementation ( likely a loop or array method) to replace whitespace characters with `+` characters.

**Pros and Cons**

**Regular Expressions (`replace`)**

Pros:

* Efficient and concise way to perform string replacement
* Supports complex patterns, including lookaheads and anchors
* Often faster than custom implementations for simple replacements

Cons:

* Can be slower due to the overhead of compiling regular expressions
* May not support all whitespace characters (e.g., Unicode code points)

**Custom Implementation (`replaceAll`)**

Pros:

* Simple and easy to understand
* Can be optimized for specific use cases or performance requirements
* May support more complex patterns than `replace`

Cons:

* Often slower due to the overhead of manual loop iterations
* More prone to errors, especially if not properly implemented

**Other Considerations**

* The benchmark doesn't account for edge cases, such as null or undefined input strings.
* It's unclear whether the `replaceAll` implementation is using a specific algorithm or simply iterating through the string.

**Library Usage**

The test case "replace regex" uses the built-in JavaScript method `String.prototype.replace()`, which leverages the V8 engine's regular expression support. The `replace()` method returns a new string with the specified replacement, without modifying the original string.

The test case "replace All" doesn't explicitly use a library, but it relies on the assumption that the browser or testing environment supports `String.prototype.replaceAll()`. If this implementation is not supported, it may be slower or less efficient.

**Special JavaScript Features/Syntax**

There are no special JavaScript features or syntaxes mentioned in the benchmark definition. However, if we assume that the test case "replace All" uses a custom implementation for performance reasons, it might rely on some advanced JavaScript concepts, such as:

* Array methods (e.g., `forEach()`, `map()`)
* Loop optimizations (e.g., caching, iteration optimization)
* Performance-specific features (e.g., parallel execution, SIMD instructions)

Keep in mind that these assumptions are speculative, and the actual implementation is not provided.

**Alternatives**

If you were to create a similar benchmark, you might consider adding additional test cases or variations, such as:

* Using different whitespace characters (e.g., tabs, newline)
* Testing performance with larger input strings
* Comparing the results with other string manipulation methods (e.g., `String.prototype.split()`, `Array.prototype.map()`)

You could also explore using other benchmarking tools or libraries that offer more advanced features and analysis capabilities.

Related benchmarks:

standard replaceAll vs regex replace (version: 0)

Comparing performance of: replace regex vs replace All

Created: 2 years ago by: Guest

Jump to the latest result

replace regex

replace All

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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