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.includes vs mass compare vs lookup
(version: 0)
Comparing performance of:
mass compare vs array test vs lookup table
Created:
4 years ago
by:
Guest
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Script Preparation code:
function activeElementIsImportant1() { let activeElement = "someString"; if (activeElement == 'someString11' || activeElement == '123' || activeElement == 'qeqw' || activeElement == 'qwewqdadas' || activeElement == 'someString1' || activeElement == 'someString12' || activeElement == 'asdqwwqd' || activeElement == 'asdadqw' || activeElement == 'xzczxaq' || activeElement == 'zxczx' || activeElement == '12321' || activeElement == 'qwewq' || activeElement == 'asdasdasdsa' || activeElement == 'czxcz' || activeElement == 'vbvbvb' || activeElement == 'wwww' || activeElement == '121' || activeElement == '12321312' || activeElement == 'zxzxzxzxzxzx' || activeElement == '3333') { return true; } else { return false; }; }; const compareArray = ['someString11', '123', 'qeqw', 'qwewqdadas', 'someString1', 'someString12', 'asdqwwqd', 'asdadqw', 'xzczxaq', 'zxczx', '12321', 'qwewq', 'asdasdasdsa', 'czxcz', 'vbvbvb', 'wwww', '121', '12321312', 'zxzxzxzxzxzx', '3333']; function activeElementIsImportant2() { if (compareArray.includes("someString")) { return true; } else { return false; }; }; const lookup = new Map([ ['someString11'], ['123'], ['qeqw'], ['qwewqdadas'], ['someString1'], ['someString12'], ['asdqwwqd'], ['asdadqw'], ['xzczxaq'], ['zxczx'], ['12321'], ['qwewq'], ['asdasdasdsa'], ['czxcz'], ['vbvbvb'], ['wwww'], ['121'], ['12321312'], ['zxzxzxzxzxzx'], ['3333'] ]); function activeElementIsImportant3() { if (lookup.has("someString")) { return true; } else { return false; }; };
Tests:
mass compare
let k = activeElementIsImportant1();
array test
let k = activeElementIsImportant2();
lookup table
let k = activeElementIsImportant3();
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
mass compare
array test
lookup table
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down what's being tested in the provided benchmark and explain the different approaches, their pros and cons, and other considerations. **Benchmark Definition** The benchmark is comparing three methods to check if a string exists in an array or map: 1. **Mass comparison**: Iterating over the entire array or map to find a match. 2. **Array test**: Using the `includes()` method to check if a value exists in an array. 3. **Lookup table**: Creating a map with key-value pairs and checking if a value is present in the map. **Individual Test Cases** Each test case has a different benchmark definition: 1. **Mass comparison**: The first test case uses the `activeElementIsImportant1()` function, which iterates over the entire `compareArray` array to find a match. 2. **Array test**: The second test case uses the `activeElementIsImportant2()` function, which uses the `includes()` method on the `compareArray` array. 3. **Lookup table**: The third test case uses the `activeElementIsImportant3()` function, which creates a map with key-value pairs and checks if the value is present in the map. **Options Compared** The three approaches are being compared to measure their performance: * Mass comparison: This approach has the highest overhead due to iterating over the entire array or map. * Array test: Using `includes()` method is generally faster than mass comparison, as it only requires a single pass through the array. * Lookup table: Creating a lookup table (map) and checking if a value is present in it can be faster than array tests, especially for large datasets, since it allows for O(1) lookups. **Pros and Cons** * Mass comparison: + Pros: Simple to implement, no additional data structure required. + Cons: High overhead due to iterating over the entire array or map. * Array test: + Pros: Fast, efficient, and easy to implement. + Cons: May not be suitable for large datasets or performance-critical applications. * Lookup table: + Pros: Can be faster than array tests for large datasets, allows for O(1) lookups. + Cons: Requires additional memory and computational resources to create the lookup table. **Other Considerations** * The `includes()` method is optimized in modern browsers and can be faster than mass comparison or lookup tables. * For very large datasets, using a more efficient data structure like a trie or a suffix tree might be necessary. * The choice of approach depends on the specific use case, dataset size, and performance requirements. **Library** The `includes()` method is a built-in JavaScript function that checks if a value exists in an array. It's not a separate library, but rather a native part of the language. **Special JS Feature or Syntax** There are no special features or syntaxes used in this benchmark. The code is standard JavaScript, and the only notable feature is the use of `includes()` method for the array test.
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