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Regex vs startswith and slice single
(version: 0)
Comparing performance of:
Regex vs starts with and slice
Created:
one year ago
by:
Guest
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Script Preparation code:
window.idregex = /^(?<type>shared)(?<id>.*)$/ window.str = 'shared:dfhalsdkfjhasldfiuyo324987';
Tests:
Regex
const match = str.match(idregex) const type = match?.groups.type; const id = match?.groups.id
starts with and slice
const type = 'shared'; str.startsWith(type) const id = str.slice('shared'.length)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Regex
starts with and slice
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/115.0
Browser/OS:
Firefox 115 on Windows
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Test name
Executions per second
Regex
4244426.5 Ops/sec
starts with and slice
126688216.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark definition and test cases to explain what's being tested, compared, and their pros and cons. **Benchmark Definition** The JSON represents a JavaScript microbenchmark on MeasureThat.net. The benchmark compares two approaches: using regular expressions (`Regex`) and using the `startsWith` method with slicing (`startsWith and slice`). **Script Preparation Code** ```javascript window.idregex = /^(?<type>shared)(?<id>.*)$/\r\nwindow.str = 'shared:dfhalsdkfjhasldfiuyo324987'; ``` This code defines a regular expression (`idregex`) that matches strings with a shared prefix (`shared` followed by some characters). It also sets up a test string (`str`) containing the same prefix. **Html Preparation Code** There is no HTML preparation code, which means this benchmark doesn't require any specific web page setup or initialization. **Test Cases** The individual test cases are: 1. **Regex** ```javascript const match = str.match(idregex) const type = match?.groups.type; const id = match?.groups.id; ``` This test case uses the `match` method of the regular expression to extract the matched groups (`type` and `id`). The `?.groups` syntax is called "optional chaining" or "nullish coalescing," which allows safe navigation through potentially null values. 2. **startsWith and slice** ```javascript const type = 'shared'; str.startsWith(type) const id = str.slice('shared'.length) ``` This test case uses the `startsWith` method to check if the string starts with `'shared'`, and then uses slicing (`slice`) to extract the remaining characters. **Comparisons** The benchmark compares the performance of these two approaches: * **Regex**: Uses regular expressions to match the string. * **startsWith and slice**: Uses the `startsWith` method followed by slicing to extract the desired part of the string. **Pros and Cons** Here's a brief summary of each approach: * **Regex**: + Pros: Can be more flexible for complex matching, less code required. + Cons: Performance can be slower due to regex engine overhead, may not work well with very large strings or complex patterns. * **startsWith and slice**: + Pros: Generally faster, as it avoids the overhead of a full regex match. Works well with short prefixes or suffixes. + Cons: Requires more code for slicing and checking starts-with, which can lead to slightly longer execution times. **Library and Special JS Features** There's no explicit library mentioned in the benchmark definition. However, `optional chaining` (`.?.groups`) is a modern JavaScript feature introduced with ECMAScript 2020 (ES10). It allows safe navigation through potentially null values using the `.groups` property of the match object. **Other Alternatives** If you wanted to test alternative approaches, you could consider: * Using other string matching methods, such as `indexOf` or `includes`. * Implementing a custom regex engine or parser. * Comparing performance with different JavaScript engines (e.g., V8, SpiderMonkey). However, these alternatives might not be directly comparable to the `Regex` and `startsWith and slice` approaches in terms of simplicity, readability, and performance.
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