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Lodash.js vs Nativeыы
(version: 0)
Comparing performance of:
Native vs Lodash.js filter
Created:
7 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
Script Preparation code:
var max1 = 100000; // 100,000 (100 Thousand) var max2 = 100000; // 10,000,000 (10 Million) var max3 = 100000000; // 100,000,000 (100 Million) var arr1 = []; //for (var i = 0; i <= max1; i++) { arr1.push(i); } var arr2 = []; for (var i = 0; i <= max2; i++) { arr2.push(i); } var arr3 = []; //for (var i = 0; i <= max3; i++) { arr3.push(i); }
Tests:
Native
arr2.forEach(function (element, index) { element = element*2; });
Lodash.js filter
_.each(arr2, function (element, index) { element = element*2; });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Native
Lodash.js filter
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 explain what's being tested. **Benchmark Definition** The benchmark is designed to compare the performance of two approaches: 1. **Lodash.js**: A popular JavaScript library that provides utility functions for various tasks, including array manipulation. 2. **Native**: The native implementation of the `forEach` function in JavaScript, which is built into the browser's engine. **Script Preparation Code** The script preparation code defines three arrays: `arr1`, `arr2`, and `arr3`. Each array has a varying number of elements: * `arr1`: 100,000 elements (from 0 to 99,999) * `arr2`: 10,000,000 elements (from 0 to 9,999,999) * `arr3`: 100,000,000 elements (from 0 to 99,999,999) The script also defines a loop for each array to push the element values from 0 to the maximum value in each array. **Html Preparation Code** The HTML preparation code includes a reference to the Lodash.js library, specifically version 4.17.4, which is loaded via a CDN. **Individual Test Cases** There are two test cases: 1. **Native**: This test case uses the native implementation of the `forEach` function to iterate over `arr2` and multiply each element by 2. 2. **Lodash.js filter**: This test case uses Lodash.js's `each` function (specifically, the `_filter` method) to iterate over `arr2` and multiply each element by 2. **Library: Lodash.js** Lodash.js is a popular JavaScript utility library that provides a wide range of functions for various tasks, such as array manipulation, string manipulation, and more. In this benchmark, Lodash.js's `_filter` method is used to iterate over `arr2` and perform the desired operation. **Pros and Cons:** * **Native**: The native implementation has several advantages: + It's built into the browser's engine, which means it's tightly optimized for performance. + It doesn't require any additional dependencies or libraries. * However, it also has some drawbacks: + It may not be as readable or maintainable as using a library like Lodash.js. + Its performance might vary depending on the specific implementation and browser engine used. * **Lodash.js filter**: The use of Lodash.js provides several benefits: + It's highly optimized for performance, thanks to its extensive testing and benchmarking. + It offers a more readable and maintainable way to perform the desired operation. + However, it also has some drawbacks: - It requires an additional dependency (Lodash.js) to be loaded. - Its performance might not be as good as using the native implementation. **Other Considerations:** * **Browser Engine:** The benchmark's results are dependent on the browser engine used. Different engines may optimize and execute code differently, leading to variations in performance. * **JavaScript Version:** The benchmark is likely written for a specific JavaScript version (in this case, likely ECMAScript 5 or later). Different versions might have different implementations of certain functions. **Alternatives:** If you were to rewrite the benchmark using alternative approaches, you could consider: * Using other libraries like `Underscore.js` or `Ramda` instead of Lodash.js. * Implementing a custom loop or iteration function instead of relying on the native `forEach` function. * Using different data structures, such as arrays with more efficient data types (e.g., `Map` for fast lookups). * Utilizing browser-specific features like Web Workers or WebAssembly to offload computationally intensive tasks. Keep in mind that each alternative approach would require significant changes to the benchmark and its logic.
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