<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min.js'></script>
var arr = new Array(100000000).fill(0);
[arr];
_.cloneDeep(arr);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Spread Operato | |
Lodash clone deep |
Test name | Executions per second |
---|---|
Spread Operato | 4.6 Ops/sec |
Lodash clone deep | 0.2 Ops/sec |
Let's break down the benchmark and explain what's being tested.
Benchmark Overview
The benchmark is comparing the performance of two approaches:
[...arr]
)cloneDeep
function (_.cloneDeep(arr)
)Options Compared
The options being compared are:
cloneDeep
function to create a deep copy of the original array.Pros and Cons
cloneDeep
Function:Other Considerations
ExecutionsPerSecond
metric provides an idea of how many times each test case can be executed per second, but it doesn't necessarily reflect the overall performance difference between the two approaches.Lodash Library
The benchmark includes Lodash 4.17.15 in its HTML preparation code via a script tag. Lodash is a popular JavaScript utility library that provides various helper functions for tasks like array manipulation, object creation, and data transformation.
In this specific case, cloneDeep
is used to create a deep copy of the original array, which helps to avoid modifying the original data when using the spread operator.
Special JS Feature or Syntax
The benchmark does not specifically use any special JavaScript features or syntax that would require additional explanation. However, it's worth noting that some other approaches (e.g., Array.prototype.slice.call(arr)
) might be included in alternative benchmarks to test performance differences with these methods.
Other Alternatives
If you were to create an alternative benchmark for comparing the spread operator and Lodash's cloneDeep
function, you could consider adding additional test cases that:
Array.prototype.slice()
or JSON.parse(JSON.stringify(arr))
.These additional test cases would help provide a more comprehensive understanding of how these approaches perform under various conditions.