<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
var max1 = 100000; // 100,000 (100 Thousand)
var max2 = 10000000; // 10,000,000 (10 Million)
var max3 = 100000000; // 100,000,000 (100 Million)
var arr1 = [];
//for (var i = 0; i <= max1; i++) { arr1.push(i); }
var arr2 = [];
for (var i = 0; i <= max2; i++) { arr2.push(i); }
var arr3 = [];
//for (var i = 0; i <= max3; i++) { arr3.push(i); }
arr2.map(function (element, index) {
return element*2;
});
_.map(arr2, function (element, index) {
return element*2;
});
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Native | |
Lodash.js filter |
Test name | Executions per second |
---|---|
Native | 13.0 Ops/sec |
Lodash.js filter | 39.4 Ops/sec |
Overview of the Benchmark
The provided JSON represents a JavaScript microbenchmark test case for comparing the performance of two approaches: native JavaScript map function and Lodash.js map function.
Options Compared
Two options are compared:
map
for iterating over arrays.Pros and Cons of Each Approach
Native Map Function:
Pros:
Cons:
Lodash.js Map Function:
Pros:
Cons:
Library: Lodash.js
Lodash.js is a popular JavaScript utility library developed by Isaac Schankar. It provides a wide range of functions for tasks such as array manipulation, object manipulation, and functional programming.
In this benchmark, the map
function from Lodash.js is used to transform the elements of an array by multiplying each element by 2.
Special JS Feature/Syntax
There is no explicit mention of any special JavaScript features or syntax in this benchmark. However, it's worth noting that modern browsers often support additional features like let
, const
, and arrow functions, which may affect execution performance. But these are not specific to the map function and can be ignored for the purpose of this analysis.
Other Alternatives
If you're interested in exploring alternative approaches, consider the following options:
map
function similar to Lodash.js.These alternatives may offer different trade-offs in terms of performance, readability, and maintainability.