Benchmark: String.match vs. RegEx.test (MongoDB ObjectID)

Script Preparation code:

var string_pass = "747474656565737373747474";
var string_fail = "74747465656573737374747x";
var regex = /^[0-9a-fA-F]{24}$/;

Tests:

RegEx.test pass
regex.test(string_pass) ? true : false;
RegEx.test fail
regex.test(string_fail) ? true : false;
String.match pass
string_pass.match(regex) ? true : false;
String.match fail
string_fail.match(regex) ? true : false;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
RegEx.test pass
RegEx.test fail
String.match pass
String.match fail

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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I'll break down the benchmark test and its results for you.

**Benchmark Test**

The test is designed to measure the performance difference between two approaches: using `regex.test()` (also known as "RegExp testing") and using the `String.match()` method with a regular expression. Both methods are used to validate whether a given string matches a specific pattern.

Here's what each option tests:

1. **`regex.test(string_pass) ? true : false;`**: This line checks if the entire string `string_pass` matches the specified regular expression using `regex.test()`. If it does, the function returns `true`, otherwise `false`.
2. **`regex.test(string_fail) ? true : false;`**: Similar to the previous point, but this time the test checks if the string `string_fail` (which contains a non-matching character) matches the regular expression.
3. **`string_pass.match(regex) ? true : false;`**: This line uses the `String.match()` method to search for the specified pattern in the entire string `string_pass`. If a match is found, the function returns `true`, otherwise `false`.
4. **`string_fail.match(regex) ? true : false;`**: Similar to the previous point, but this time the test checks if the string `string_fail` matches the regular expression using the `String.match()` method.

**Pros and Cons**

Here are some pros and cons of each approach:

1. **`regex.test()`**:
	* Pros: Can be more efficient than `String.match()` for simple patterns.
	* Cons: May not be as flexible as `String.match()` since it only checks the entire string against the pattern, whereas `String.match()` can search for a pattern within the string.
2. **`String.match()`**:
	* Pros: More flexible than `regex.test()` since it can search for a pattern within the string, not just at the beginning or end.
	* Cons: May be slower for very simple patterns due to the overhead of creating a RegExp object.

**Library and Purpose**

The `RegExp` object is a built-in JavaScript library that provides regular expression matching capabilities. The `test()` method is used to test whether a string matches a specific pattern.

In this benchmark, the `RegExp` library is used twice: once for the `regex.test()` approach, and again for the `String.match()` approach using a similar regular expression.

**Special JS Feature or Syntax**

This benchmark does not use any special JavaScript features or syntax beyond what's standard in modern JavaScript. It simply uses built-in methods and libraries like `RegExp` to perform pattern matching.

**Other Alternatives**

If you need to optimize pattern matching, you might consider the following alternatives:

1. **Using a native JavaScript method**: For specific platforms or browsers, you might be able to use native JavaScript methods like `Intl.Regexp.test()` (available in ECMAScript 2018) or `RegExp.prototype.test()`.
2. **Using a specialized library**: If you need more advanced pattern matching capabilities, you could consider using a specialized library like `regex- escape` or `pattern-match`.

Related benchmarks:

String.match vs. RegEx.test (MongoDB ObjectID) (version: 0)

Comparing performance of: RegEx.test pass vs RegEx.test fail vs String.match pass vs String.match fail

Created: 4 years ago by: Guest

Jump to the latest result

RegEx.test pass

RegEx.test fail

String.match pass

String.match fail

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):