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Lodash.js vs Native2222
(version: 1)
Comparing performance of:
Native vs Lodash.js filter
Created:
4 years ago
by:
Registered User
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js"></script>
Script Preparation code:
var max1 = 100000; // 100,000 (100 Thousand) var max2 = 10000000; // 10,000,000 (10 Million) var max3 = 100000000; // 100,000,000 (100 Million) var arr1 = []; for (var i = 0; i <= max1; i++) { arr1.push({foo: i, bar: 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
arr1.sort((a, b) => a.foo - b.foo);
Lodash.js filter
_.orderBy(arr1, 'foo', 'asc');
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
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Benchmark Explanation** The provided benchmark, "Lodash.js vs Native2222", tests the performance of two approaches: native JavaScript and Lodash.js (a popular utility library for JavaScript). The goal is to compare how fast these two methods can sort an array. **Native Approach** The native approach uses a simple sorting algorithm, which sorts the array in ascending order by comparing each element's `foo` property. This implementation has some pros: * It's a fundamental aspect of JavaScript, and most developers should be familiar with it. * It's typically implemented in the browser or environment where the code runs. However, this approach also has some cons: * It may not be as efficient as optimized sorting algorithms used in libraries like Lodash.js. * It might require more memory to store the intermediate results during sorting. **Lodash.js Approach** The Lodash.js approach uses a pre-built sorting function from the Lodash library. The specific function used here is `_.orderBy()`, which sorts an array based on a specified property (in this case, 'foo') and direction ('asc' for ascending). This implementation has some pros: * It's optimized and should be faster than a simple native implementation. * It provides additional features, such as sorting by multiple properties or handling null values. However, this approach also has some cons: * It introduces an external dependency (the Lodash library) that needs to be included in the project. * The performance benefits of using Lodash.js might not be noticeable for small arrays like the one used in this benchmark. **Library: Lodash** Lodash is a popular utility library for JavaScript, providing a wide range of functions for various tasks, such as: * Array manipulation (e.g., sorting, filtering) * String manipulation * Object manipulation * Math and statistics The `_.orderBy()` function, used in this benchmark, is specifically designed to sort arrays based on one or more properties. **Special JS Feature/Syntax** There are no specific JavaScript features or syntax mentioned in the benchmark. The code uses standard JavaScript syntax and does not rely on any advanced features like async/await, Promises, or modern JavaScript language features (e.g., arrow functions). **Other Alternatives** If you need to sort an array, there are other alternatives besides native JavaScript and Lodash.js: * **Built-in `Array.prototype.sort()` method**: Most browsers support this built-in method, which can be used to sort arrays. * **Other libraries or modules**: Depending on the specific use case, other libraries like jQuery, moment.js (for dates), or even custom implementations might be suitable alternatives. In summary, the benchmark compares the performance of native JavaScript sorting and Lodash.js's `_.orderBy()` function. While native JavaScript is a fundamental aspect of JavaScript, Lodash.js provides optimized and more feature-rich solutions for array manipulation tasks.
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