<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
var numbers = [Array(10000000).keys()];
_.reduce(numbers, (sum, n) => sum + n, 0)
numbers.reduce((sum, n) => sum + n, 0)
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Lodash | |
Native |
Test name | Executions per second |
---|---|
Lodash | 9.8 Ops/sec |
Native | 7.4 Ops/sec |
Let's dive into the world of JavaScript microbenchmarks.
What is being tested?
The provided benchmark tests two approaches to calculate the sum of an array: using Lodash's reduce
function and the native JavaScript reduce
method.
Options compared:
reduce
: A popular utility library for functional programming, providing a simple way to reduce arrays to a single value.reduce
: The built-in array reduction method that performs the same calculation as Lodash's reduce
.Pros and Cons of each approach:
reduce
:reduce
:Library:
The lodash
library is used in this benchmark. It's a popular utility library for functional programming, providing a wide range of functions for tasks like string manipulation, array and object manipulation, and more. In this case, it provides the reduce
function that's being compared against the native JavaScript implementation.
Special JS feature or syntax:
There is no special JavaScript feature or syntax used in this benchmark beyond what's commonly found in modern JavaScript code.
Other alternatives:
If you're interested in exploring alternative implementations, here are a few:
reduce
method using a closure to iterate over the array elements.for
loop to iterate over the array elements and calculate the sum.forEach()
instead of reduce()
can also provide an interesting comparison.However, keep in mind that these alternatives might not offer significant performance improvements or new insights into the characteristics of the native JavaScript implementation.
I hope this explanation helps!