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lodash uniq vs set - unsorted
(version: 0)
Comparing performance of:
Set vs Array
Created:
3 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>
Tests:
Set
var l = new Set([7, 7, 7, 7, 1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]); return l;
Array
var l = [7, 7, 7, 7, 1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; return _.uniq(l);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
Set
Array
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. **Benchmark Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. A benchmark is a standardized test designed to measure the performance of a specific piece of code or system. In this case, we're analyzing a benchmark that compares two approaches: using an array (`_.uniq(l)` from Lodash) versus using a `Set` data structure. **Options Compared** The two options being compared are: 1. **Array**: Using an array to remove duplicates. Specifically, the code uses `_ = [7, 7, 7, 7, 1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; return _.uniq(l);`. 2. **Set**: Using a `Set` data structure to remove duplicates. Specifically, the code uses `var l = new Set([7, 7, 7, 7, 1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]); return l;`. **Pros and Cons of Each Approach** ### Array * **Pros**: + Easy to implement + Works well with existing code that uses arrays + Can be more efficient for smaller datasets * **Cons**: + Requires iteration over the array using `_.uniq` + May not perform as well on large datasets due to the overhead of iteration ### Set * **Pros**: + More efficient than array-based approaches for large datasets + Uses a data structure that is optimized for fast lookup and insertion * **Cons**: + Requires a `Set` object, which may not be as familiar to developers who don't work with sets frequently + May require additional code to convert between arrays and sets **Other Considerations** * Both approaches have their strengths and weaknesses when it comes to performance. The array-based approach is likely faster for smaller datasets, while the `Set`-based approach is more efficient for large datasets. * The choice of which approach to use depends on the specific requirements of the project and the characteristics of the data being processed. **Library: Lodash** Lodash is a popular JavaScript library that provides a wide range of functional programming utilities. In this benchmark, we're using Lodash's `uniq` function to remove duplicates from an array. The `_ = [7, 7, 7, 7, 1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; return _.uniq(l);` line is using Lodash's `uniq` function to remove duplicates from the array. **Special JS Feature or Syntax** There are no special JavaScript features or syntax used in this benchmark. The code uses standard JavaScript syntax and features. **Benchmark Preparation Code** The benchmark preparation code is: ```javascript <script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script> ``` This line loads the Lodash library, which provides the `uniq` function used in the array-based approach. **Other Alternatives** Other alternatives to removing duplicates from an array or `Set` include: * Using a different data structure, such as a `Map`, to store unique values * Using a custom implementation that takes advantage of browser-specific optimizations (e.g., using `Array.prototype.reduce()` instead of `_.uniq`) * Using a third-party library or framework that provides duplicate-removal functionality I hope this explanation helps!
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