Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
UUID Regex with group and without
(version: 0)
Comparing performance of:
RegEx.test vs String.includes
Created:
3 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var string = "559B13D8-274B-1DEB-0728-5C6EB15309F5"; var regex = /[A-Z0-9]{8}-[A-Z0-9]{4}-[A-Z0-9]{4}-[A-Z0-9]{4}-[A-Z0-9]{12}/; var groupRegex = /[A-Z0-9]{8}-([A-Z0-9]{4}-){3}-[A-Z0-9]{12}/;
Tests:
RegEx.test
regex.test(string);
String.includes
groupRegex.test(string);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
RegEx.test
String.includes
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring JavaScript performance is a crucial task, and MeasureThat.net provides a great platform for benchmarking microbenchmarks. Let's dive into the explanation of what's being tested in this specific benchmark. **Overview** The provided JSON represents two test cases: 1. `UUID Regex with group and without`: This test case compares the performance of regular expression (regex) testing on two different regex patterns: * The first pattern, `groupRegex`, matches a UUID (Universally Unique Identifier) string by extracting the groups using parentheses (`([A-Z0-9]{8}-){3}-[A-Z0-9]{12}`). * The second pattern, `regex`, is a simple UUID regex without capturing groups. 2. `RegEx.test` and `String.includes`: These are two test cases that compare the performance of JavaScript's built-in `test()` method for regular expressions with the `includes()` method. **Options Compared** In each test case, there are two options being compared: * For the UUID regex patterns: + `groupRegex`: Extracts groups from the string using parentheses. + `regex`: Does not extract groups. * For `RegEx.test` and `String.includes`: + `test()` method: A built-in JavaScript method for testing a regular expression. + `includes()`: A built-in JavaScript method for checking if a substring is present in another string. **Pros and Cons of Each Approach** 1. **UUID Regex Patterns** * `groupRegex`: + Pros: - Can extract relevant parts of the UUID (e.g., version, timestamp). - May be faster due to reduced regex complexity. - Cons: - May introduce additional overhead from extracting groups. * `regex`: + Pros: - Simpler regex pattern with fewer captures. - May be faster due to reduced regex complexity. - Cons: - Does not extract relevant parts of the UUID. 2. **RegEx.test() vs String.includes()** * `test()` method: + Pros: - Built-in JavaScript method, potentially optimized for performance. - Supports more features (e.g., flags, capturing groups). - Cons: - May not be as fast due to additional overhead from method invocation. * `includes()`: This is not a built-in JavaScript method; it's likely an external library function or a custom implementation. If it's not optimized for performance, it may be slower than `test()`. **Library and Syntax Considerations** For the `String.includes()` test case, it seems that this function is not native to JavaScript. MeasureThat.net might use an external library (e.g., jQuery) or a custom implementation for this functionality. If you're using JavaScript 14 or later, you can take advantage of pattern matching with `test()` and capturing groups with parentheses (`(`...`)`). **Other Considerations** When benchmarking performance-critical code like regex testing, it's essential to consider factors such as: * Data size: Larger input data may affect performance. * System resources: CPU, memory, and disk I/O usage can impact results. * Optimizations: Using techniques like caching or memoization can improve performance. **Alternatives** If you want to explore alternative approaches for benchmarking regex testing, consider the following options: 1. Use a different regex library or implementation (e.g., `regex- escape`). 2. Test with different types of input data (e.g., numbers, dates, strings). 3. Experiment with caching or memoization techniques. 4. Investigate browser-specific optimizations for performance-critical code. Keep in mind that the best approach depends on your specific use case and requirements.
Related benchmarks:
Various regex testing patterns
Length vs regex
RegEx.exec vs String.test
Regex tests Dani
Comments
Confirm delete:
Do you really want to delete benchmark?