Benchmark: matchAll vs replace

Tests:

matchAll
const chars = '0123456789ABCDEFGHJKLMNPRSTUVWXY'; const ma = (stringToMatch) => { const regexp = /[0123456789ABCDEFGHJKLMNPRSTUVWXY]/g; return [...stringToMatch.matchAll(regexp)].join(''); }; console.log(ma("AQFI7")); for (let i = 0; i < 1000; i++) { const result = ma("AQFI7"); }
replace
const chars = '0123456789ABCDEFGHJKLMNPRSTUVWXY'; const rep = (stringToReplace) => { const regex = new RegExp(`[^${chars}]`, 'g'); return stringToReplace.replace(regex, ''); } console.log(rep("AQFI7")); for (let i = 0; i < 1000; i++) { const result = rep("AQFI7"); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
matchAll
replace

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4692.71 Safari/537.36

Browser/OS: Chrome 97 on Windows

View result in a separate tab

Test name	Executions per second
matchAll	954.3 Ops/sec
replace	1858.1 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

LLMs can make mistakes. Check important info.

Let's break down the provided JSON and explain what's being tested in each test case.

**Benchmark Definition**

The benchmark is comparing two different approaches to perform string operations:

1. `matchAll`:
	* This approach uses the `String.prototype.matchAll()` method, which returns an iterator of matches for a given regular expression.
	* In this specific case, the regular expression `[0123456789ABCDEFGHJKLMNPRSTUVWXY]/g` matches any character within the specified string of digits and letters.
2. `replace`:
	* This approach uses the `String.prototype.replace()` method with a regular expression.
	* The regular expression `new RegExp(`[^${chars}]`, 'g')` matches any character outside of the specified string of digits and letters.

**Options being compared**

The two approaches are being tested to see which one performs better in terms of execution speed. This is typically useful when working with large datasets or performance-critical applications.

**Pros and Cons of each approach**

* `matchAll`:
	+ Pros:
		- More concise and readable code
		- Can be more efficient for matching multiple occurrences (since it returns an iterator)
	+ Cons:
		- May have higher overhead due to the use of an iterator, which can slow down execution for large datasets
* `replace`:
	+ Pros:
		- Often faster than `matchAll` for small datasets or when replacing a specific substring
	+ Cons:
		- Can be less concise and more verbose code

**Library/Functionality**

In both test cases, the following libraries/functions are used:

* `String.prototype.matchAll()`: Returns an iterator of matches for a given regular expression.
* `String.prototype.replace()`: Replaces occurrences of a specified pattern in a string.

**Special JavaScript feature/Syntax**

There is no special JavaScript feature or syntax being tested in these benchmarks. The focus is on comparing the performance of two different approaches to string operations.

**Alternatives**

Some alternative approaches that could be used instead of `matchAll` and `replace` include:

* Using regular expressions with `String.prototype.test()` instead of `String.prototype.matchAll()`
* Using a library like Lodash or Ramda for string manipulation
* Implementing custom string matching algorithms (e.g., using Boyer-Moore or Knuth-Morris-Pratt)

However, these alternatives would likely have different performance characteristics and trade-offs compared to the original approaches being tested in this benchmark.

Related benchmarks:

matchAll vs replace (version: 0)

Comparing performance of: matchAll vs replace

Created: 3 years ago by: Guest

Jump to the latest result

matchAll

replace

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):