Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
lodash vs set array
(version: 0)
Comparing performance of:
Set + array vs lodash
Created:
4 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>
Tests:
Set + array
var l = Array.from(new Set([1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7])); return l;
lodash
var l = [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)
Previous results
Fork
Test case name
Result
Set + array
lodash
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll explain the benchmark and its results in a way that's easy to understand for software engineers of all levels. **Benchmark Overview** The benchmark compares the performance of two approaches: 1. Converting an array to a set (using `Array.from(new Set())`). 2. Using the `_.uniq()` function from the Lodash library (`var l = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; return _.uniq(l);`). **Options Compared** The two options being compared are: * Converting an array to a set using the `Array.from()` method and the `Set` constructor. * Using the `_.uniq()` function from Lodash library to remove duplicates from the array. **Pros and Cons of Each Approach** 1. **Converting Array to Set** * Pros: + More efficient for large datasets since it uses a data structure that automatically removes duplicates. + Can be faster because sets are implemented as hash tables, which provide O(1) lookup times. * Cons: + May require more memory since sets store all elements in an array under the hood. + Not suitable for scenarios where preserving the original order of elements is important. 2. **Lodash _.uniq()** * Pros: + Preserves the original order of elements, which can be important in some cases. + Does not require creating a new data structure (set or array). * Cons: + May be slower for large datasets since it uses an iterative approach to remove duplicates. **Library and Its Purpose** The Lodash library is a popular utility library that provides a wide range of functions for tasks like string manipulation, array manipulation, and more. In this benchmark, `_.uniq()` is used to remove duplicates from the input array. **Special JS Feature or Syntax (Not Applicable in This Case)** There are no special JavaScript features or syntaxes being tested in this benchmark. **Other Alternatives** If you're interested in exploring alternative approaches for removing duplicates from arrays, here are a few options: * Using `Array.prototype.filter()` with an arrow function to remove duplicates. * Using `Map` objects to keep track of unique values. * Implementing your own custom solution using JavaScript's built-in data structures. For example, the first approach could be implemented as follows: ```javascript var l = []; for (const elem of arr) { if (!l.includes(elem)) { l.push(elem); } } return l; ``` However, this implementation has a time complexity of O(n^2), which is less efficient than using `Array.from()` and the `Set` constructor. In summary, the benchmark provides a comparison between two approaches for removing duplicates from arrays: converting to a set and using Lodash's `_.uniq()`. The choice of approach depends on the specific requirements of your use case, such as performance, memory usage, and preserving original order.
Related benchmarks:
_.isEmpty vs Array.length
isEmpty vs. vanilla
Spread Operator vs Lodash with not so many items
lodash range vs Array.from vs keys() + spread 234das
Array From vs lodash clone
Comments
Confirm delete:
Do you really want to delete benchmark?