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Regex extract info
(version: 0)
Comparing performance of:
regexLessPerformant vs Coding with Javascript vs regexPerformant
Created:
3 years ago
by:
Guest
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Script Preparation code:
var stringList = ["Dev sprint 263" , "Dynatrace Sprint 263"]; var regexLessPerformant = /(?<version>\d{3})/; var regexPerformant = /(?<version>\d{3})$/;
Tests:
regexLessPerformant
for(var i = 0; i < stringList.length; i++){ stringList[i].match(regexLessPerformant).groups.version; };
Coding with Javascript
for(var i = 0; i < stringList.length; i++){ var splittedBy = stringList[i].split(""); splittedBy[splittedBy.length -1] };
regexPerformant
for(var i = 0; i < stringList.length; i++){ stringList[i].match(regexPerformant).groups.version; };
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
regexLessPerformant
Coding with Javascript
regexPerformant
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the Benchmark Definition and test cases provided by MeasureThat.net. **Benchmark Definition:** The benchmark is designed to measure the performance of two approaches: 1. **Regex extract info (less performant)**: This approach uses a less efficient regular expression (`regexLessPerformant`) to extract information from a list of strings. 2. **Coding with JavaScript**: This approach uses basic JavaScript coding to extract the same information from the list of strings. **Options compared:** The benchmark compares the performance of these two approaches on a single test case: * **Regex extract info (less performant)**: Uses a regular expression (`regexLessPerformant`) to extract the version number from each string. * **Coding with JavaScript**: Uses basic JavaScript coding to split each string by spaces and then access the last part. **Pros and Cons:** 1. **Regex extract info (less performant)** * Pros: + Easy to implement + Can be efficient for small datasets * Cons: + May slow down performance with large datasets due to regular expression compilation and matching + Less readable code 2. **Coding with JavaScript** * Pros: + More readable code + Can handle larger datasets without significant performance degradation * Cons: + More complex implementation compared to regex + May be slower than regex for very large datasets **Library/Functionality used:** None of the test cases use a library or external functionality other than JavaScript. **Special JS feature/Syntax:** The benchmark uses basic JavaScript syntax, including: * `for` loops * String manipulation (`split()`, indexing) * Regular expressions (`regexLessPerformant`) **Alternative approaches:** Some alternative approaches that could be used to compare the performance of these two methods include: 1. **String.matchAll():** Instead of using `match()` with a regex, you can use `string.matchAll()` which returns an iterator of matches. 2. **Using a more performant regex:** The original regex might not be optimized for performance. Using a more efficient regex or optimizing the pattern could improve performance. 3. **Parallel processing:** Running multiple iterations of each test case concurrently using parallel processing techniques (e.g., Web Workers) could provide a more accurate picture of performance differences. Keep in mind that these alternative approaches would require additional modifications to the benchmark code and might not be relevant for this specific use case.
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