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prefix check
(version: 0)
Comparing performance of:
startsWith vs cached RegExp vs uncached RegExp vs prefixMap vs for function
Created:
8 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var prefixMap = new Map([['!', new RegExp('^!')]]); var prefix = new RegExp('^!'); var message1 = '!test'; var message2 = 'test'; function startsWithPrefix (prefix, content) { for (let i = 0; i < prefix.length; i++) if (prefix[i] !== content[i]) return false; return true; };
Tests:
startsWith
message1.startsWith('!'); message2.startsWith('!');
cached RegExp
prefix.test(message1); prefix.test(message2);
uncached RegExp
/^!/.test(message1); /^!/.test(message2);
prefixMap
prefixMap.get('!').test(message1); prefixMap.get('!').test(message2);
for function
startsWithPrefix('!', message1); startsWithPrefix('!', message2);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (5)
Previous results
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Test case name
Result
startsWith
cached RegExp
uncached RegExp
prefixMap
for function
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 break down the benchmark and its various components. **Benchmark Definition** The provided JSON defines a JavaScript microbenchmark that tests different approaches for checking if a string starts with a specific prefix. The script preparation code creates a map (`prefixMap`) that stores regular expressions (regex) for certain prefixes, as well as two functions: `startsWithPrefix` and the built-in `RegExp.test`. **Options Compared** The benchmark compares the following options: 1. **Built-in `startsWith` method**: This is the standard JavaScript method for checking if a string starts with another string. 2. **`RegExp.test` without caching**: The regex pattern is created every time the test runs, without storing it in memory. 3. **Caching `RegExp` patterns using `prefixMap`**: A map (`prefixMap`) stores pre-created regex patterns for certain prefixes, reducing the overhead of creating a new regex on each test run. 4. **Using a custom function `startsWithPrefix`**: This function manually checks if the string starts with the prefix by iterating over the characters. **Pros and Cons** Here's a brief summary: * **Built-in `startsWith` method**: + Pros: Simple, widely supported, and well-optimized. + Cons: May involve more overhead due to string manipulation. * **`RegExp.test` without caching**: + Pros: Fast and efficient when the regex pattern is not frequently used. + Cons: Creates a new regex pattern on each test run, which can be slow. * **Caching `RegExp` patterns using `prefixMap`**: + Pros: Reduces overhead by storing pre-created regex patterns in memory. + Cons: Requires more memory to store the map and its entries. * **Using a custom function `startsWithPrefix`**: + Pros: Allows for fine-grained control over the checking process. + Cons: May be slower due to the manual iteration. **Libraries Used** There is no explicit library mentioned in the benchmark definition. However, `RegExp` is a built-in JavaScript object that provides regular expression matching capabilities. **Special JS Features or Syntax** The benchmark uses some advanced JavaScript features: * **Map**: The `prefixMap` uses a Map data structure to store regex patterns. * **Regular Expressions (regex)**: The benchmark creates and uses regex patterns to match the prefix. **Other Considerations** When writing performance benchmarks like this one, it's essential to consider factors such as: * **Cache locality**: How well do the test cases cache their results? In this case, `prefixMap` caches its entries. * **Memory allocation**: What is the impact of memory allocation on the benchmark's performance? * **Garbage collection**: How does garbage collection affect the benchmark's execution time? **Alternatives** If you're interested in exploring alternative approaches for string prefix checking, consider: * Using a different data structure, such as an array or object, to store regex patterns. * Implementing a custom string matching algorithm that avoids using `RegExp`. * Comparing performance with other languages or frameworks that provide optimized string manipulation capabilities.
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