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Lodash.js vs Native test2
(version: 0)
asd
Comparing performance of:
Native vs Lodash.js filter
Created:
2 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
Script Preparation code:
var max2 = 10000; var arr2 = []; for (var i = 0; i <= max2; i++) { arr2.push({email: i}); } sendtoAllbyRole = arr2 userEmail=[]
Tests:
Native
sendtoAllbyRole.forEach(user => { user.email && userEmail.push(user.email) })
Lodash.js filter
userEmail = _.map(_.filter(sendtoAllbyRole, (user) => user.id), 'id')
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 provided benchmark and explain what's being tested, compared, and their pros and cons. **Benchmark Overview** The benchmark compares two approaches: 1. **Native**: Using native JavaScript methods to filter and map an array. 2. **Lodash.js filter**: Using the popular Lodash library's `filter` function to achieve the same result. **Options Compared** The benchmark is comparing the performance of these two approaches on a specific test case, which involves filtering an array of objects and then mapping over it to extract a specific property (`email`). **Pros and Cons** ### Native Approach Pros: * **Native performance**: Since the `filter` and `map` methods are part of the standard JavaScript API, they should be highly optimized for native execution. * **No dependencies**: The benchmark runs with no external dependencies or libraries, making it a true measure of native performance. Cons: * **Code complexity**: The `filter` and `map` methods can add some complexity to the code, especially if you're not familiar with them. * **Potential browser differences**: Although Chrome 112 is specified as the execution environment, there might be differences in behavior across other browsers or versions. ### Lodash.js filter Approach Pros: * **Familiar syntax**: Using a popular library like Lodash can make the code more readable and easier to understand for developers familiar with it. * **Optimized performance**: Lodash is optimized for performance and often provides better execution times than native alternatives. Cons: * **External dependency**: The benchmark relies on the Lodash library being loaded from an external source, which might introduce additional overhead or inconsistencies in execution environment. * **Potential caching issues**: If the Lodash library is cached by the browser or device, it could affect the results of this benchmark. **Library: Lodash** Lodash (pronounced "lodash") is a popular JavaScript utility library that provides a wide range of functional programming helpers. The `filter` function is one of its most commonly used methods, which takes a callback function as an argument to determine which elements to include in the resulting array. In this benchmark, Lodash's `filter` method is used to remove objects from the `sendtoAllbyRole` array that don't have an `id` property. The resulting filtered array is then passed to Lodash's `map` method to extract the `email` property of each object. **Other Considerations** * **ES6 features**: Neither the native nor Lodash approaches use ES6+ features, so this benchmark should be compatible with older browsers and environments. * **Device platform**: The benchmark is run on a desktop device with Linux as the operating system, which might affect the results of this benchmark if you were to test it on mobile devices or other platforms. **Alternative Approaches** Other approaches could include: * Using other libraries like Ramda or Liskelid for functional programming. * Implementing custom filtering and mapping logic in JavaScript without relying on external libraries. * Testing with different data structures, such as arrays of objects with nested properties, to further stress the performance of these approaches.
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