Benchmark: match vs exec #2

Script Preparation code:

function findAll(regexPattern, sourceString) {
    let output = []
    let match
    // make sure the pattern has the global flag
    let regexPatternWithGlobal = RegExp(regexPattern,"gi")
    while (match = regexPatternWithGlobal.exec(sourceString)) {
        // get rid of the string copy
        delete match.input
        // store the match data
        output.push(match)
    } 
    return output
}

function findAllCase(regexPattern, sourceString) {
    let output = []
    let match
    // make sure the pattern has the global flag
    let regexPatternWithGlobal = RegExp(regexPattern,"gi")
    while (match = regexPatternWithGlobal.exec(sourceString)) {
        // get rid of the string copy
        delete match.input
        // store the match data
        output.push(match)
    } 
    return output
}

var find = 'a';
var str = 'asdqwe'.repeat(10000);

Tests:

exec
findAll(find, str);
match
str.match(RegExp(find, 'gi'));
exec case
findAllCase(find, str);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
exec
match
exec case

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the provided benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark tests three different approaches to find all occurrences of a pattern in a string:

1. `findAll` function: This function iterates over the input string using a regular expression with the global flag (`gi`) set, collecting all matches into an array.
2. String method `match`: This method returns an array of matches for the first occurrence of the pattern in the string.
3. `findAllCase` function: Similar to `findAll`, but with a different implementation.

**Comparison**

The benchmark compares these three approaches:

* `findAll` and `findAllCase` are similar, as they both use the global flag in their regular expressions and iterate over the input string to collect matches. However, `findAllCase` might have a slight performance advantage due to its more optimized implementation.
* `match` is significantly slower than `findAll` and `findAllCase`, likely because it only returns the first match instead of iterating over the entire input string.

**Pros and Cons**

Here are some pros and cons for each approach:

* `findAll` and `findAllCase`:
	+ Pros: Fast, efficient, and reliable.
	+ Cons: May be slower than `match` due to the global flag requirement.
* `match`:
	+ Pros: Simple, easy to understand, and suitable for most use cases.
	+ Cons: Slower, as it only returns the first match.

**Library**

The benchmark uses regular expressions (RegExp), which are a built-in JavaScript library. Regular expressions provide an efficient way to search and manipulate text patterns in strings.

**Special JS Feature or Syntax**

None of the approaches use any special JavaScript features or syntax that's not widely supported.

**Other Alternatives**

If you're looking for alternative approaches, here are some options:

* `String.prototype.replace`: Instead of finding all occurrences, you can use `replace` to replace all matches with a new string. This approach is more suitable when you need to modify the input string instead of just extracting matches.
* `Array.prototype.some` or `Array.prototype.every`: You can use these methods to check if any element in an array matches a condition. However, this approach is not as efficient as regular expressions for finding all occurrences.

Keep in mind that these alternatives might not be suitable for every use case, and the performance characteristics may vary depending on the specific requirements.

Related benchmarks:

match vs exec #2 (version: 2)

for multiple cases, registry

Comparing performance of: exec vs match vs exec case

Created: 5 years ago by: Registered User

Jump to the latest result

exec

match

exec case

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):