<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min.js"></script>
window.obj = {};
var arr = []
for (var i = 0, len = 100000; i < len; i++) {
arr.push(i);
}
_.reduce(arr, (acc, val) => {
return acc + val;
}, {})
arr.reduce((acc, val) => {
return acc + val;
}, {})
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Lodash | |
Native |
Test name | Executions per second |
---|---|
Lodash | 224.0 Ops/sec |
Native | 205.0 Ops/sec |
I'll explain the benchmark in detail.
Benchmark Overview
The provided JSON represents two test cases that compare the performance of Lodash's reduce
function with JavaScript's native reduce
method. The benchmark aims to measure which approach is faster for summing up an array of numbers.
Options Compared
There are two options compared:
reduce
: This implementation uses the Lodash library, a popular utility library that provides functional programming helpers.reduce
: This implementation uses JavaScript's native reduce
method, which is built-in to the language.Pros and Cons
Lodash's reduce
:
Pros:
Cons:
Native reduce
:
Pros:
Cons:
reduce
function from scratch may add complexity to code development, especially for developers without prior experience with this method.Library: Lodash
Lodash is a popular utility library that provides a wide range of functional programming helpers, including the reduce
function. It's designed to simplify code development and improve maintainability by providing pre-built functions for common tasks. In this benchmark, Lodash's implementation of reduce
uses a callback function with two arguments: the accumulator (acc
) and the current value (val
). The returned value is then used as the new accumulator.
Special JS Feature or Syntax
There are no special JavaScript features or syntaxes mentioned in the provided code snippets. However, it's worth noting that some modern JavaScript features, such as arrow functions, async/await, and classes, may be present in other benchmarks or tests.
Other Alternatives
If you were to modify this benchmark to compare other options, you could consider adding test cases for:
reduce
functionsum()
function)