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Lodash Uniq vs Javascript Set (lol3)
(version: 0)
Comparing performance of:
Lodash Uniq vs Javascript Set
Created:
6 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.5/lodash.min.js"></script>
Tests:
Lodash Uniq
const firstEqual = []; const secondEqual = []; for (let i = 0; i <= 100000; i++) { firstEqual.push(i); secondEqual.push(i); } const arrayToDedup = [...firstEqual, ...secondEqual]; _.uniq(arrayToDedup);
Javascript Set
const firstEqual = new Set(); const secondEqual = new Set(); for (let i = 0; i <= 100000; i++) { for (let j = 0; j < 2; j++) { firstEqual.add(i); } } Array.from(firstEqual)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
Lodash Uniq
Javascript Set
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks. **Overview** MeasureThat.net is a platform where users can create and run JavaScript microbenchmarks to compare the performance of different approaches to achieve the same goal. The provided JSON represents a benchmark that tests two methods: using Lodash's `uniq` function versus using a native JavaScript `Set`. **What is being tested?** In this benchmark, we have two test cases: 1. **Lodash Uniq**: This test uses Lodash's `uniq` function to remove duplicates from an array. 2. **Javascript Set**: This test uses a native JavaScript `Set` object to remove duplicates from an array. **Options compared** The two options being compared are: * Using a third-party library (Lodash) vs using a native JavaScript API (`Set`) * An array-based approach with duplicate removal vs using a set-based data structure **Pros and Cons of each approach:** 1. **Lodash Uniq**: Pros: * Easy to use and intuitive * Fast and efficient for small to medium-sized datasets Cons: * Introduces an external dependency (Lodash) which might not be present in all environments * May have a performance overhead due to the library's overhead 2. **Javascript Set**: Pros: * Native to JavaScript, eliminating any external dependencies or potential performance overhead * Fast and efficient for large datasets Cons: * Requires more code and understanding of set operations * Might be slower for small datasets due to the need to convert arrays to sets **Library: Lodash** Lodash is a popular JavaScript library that provides various utility functions, including `uniq`. It's designed to simplify common tasks and make JavaScript code more concise. In this benchmark, Lodash's `uniq` function is used to remove duplicates from an array. **Special JS feature or syntax** The benchmark uses a syntax feature called **Array Destructuring**, which was introduced in ECMAScript 2015 (ES6). This feature allows for more concise and expressive code when working with arrays. In this case, the line `const arrayToDedup = [...firstEqual, ...secondEqual];` uses destructuring to create a new array by concatenating two existing arrays. **Other alternatives** If you're interested in exploring alternative approaches, here are some options: * Using another library or framework that provides similar functionality (e.g., underscore.js, Ramda) * Implementing your own duplicate removal algorithm from scratch * Using other data structures like a `Map` or a `SortedSet` * Optimizing the existing implementation to improve performance Keep in mind that each of these alternatives will have their pros and cons, and some might be more suitable for specific use cases or environments.
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