<script src="lodash.js"></script>
var elements = [1,2,3,1,2,4,2,3,5,3]
_.uniq(elements)
elements.filter((value, index, array) => array.indexOf(value) === index)
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Lodash | |
Vanilla JS |
Test name | Executions per second |
---|---|
Lodash | 6405804.5 Ops/sec |
Vanilla JS | 9669295.0 Ops/sec |
Let's break down the provided benchmark and explain what's being tested.
Benchmark Overview
The benchmark is comparing two JavaScript implementations: Lodash (a utility library) and Vanilla JS (native JavaScript without any libraries). The benchmark measures the execution speed of each implementation for a specific task: removing duplicate elements from an array using the uniq
function in Lodash or implementing it manually with Vanilla JS.
Lodash - uniq2 Benchmark
The provided benchmark definition includes two scripts:
elements
containing duplicate values.The benchmark definition for Lodash is:
"_.uniq(elements)"
This is a shorthand syntax for _.uniq([1, 2, 3, 1, 2, 4, 2, 3, 5, 3])
.
Vanilla JS Benchmark
The second test case includes two scripts:
elements
with duplicate values.The benchmark definition for Vanilla JS is:
"elements.filter((value, index, array) => array.indexOf(value) === index)"
This implementation uses the Array.prototype.indexOf() method to check if a value appears at its original position in the array.
Pros and Cons of Each Approach
Lodash (uniq2):
Pros:
Cons:
Vanilla JS (filter):
Pros:
Cons:
Other Considerations
When writing benchmarks like this, it's essential to consider factors beyond execution speed, such as:
Alternative Implementations
There are several alternative implementations for removing duplicates from an array, including:
Each of these alternatives has its pros and cons, which can be explored in more detail for specific use cases.
Special JS Features or Syntax
There are no special JavaScript features or syntax mentioned in this benchmark. However, it's worth noting that Lodash provides a wide range of utility functions that simplify common tasks, making code more readable and maintainable.