<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
var a = ['1'];
var b = _.clone(a);
var a = ['1'];
var b = [a];
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
lodash clone | |
array spread |
Test name | Executions per second |
---|---|
lodash clone | 7603230.5 Ops/sec |
array spread | 51801192.0 Ops/sec |
Let's break down the provided JSON and explain what is tested, compared options, pros and cons of those approaches, library usage, special JS features or syntax, and other considerations.
Benchmark Definition
The benchmark measures the performance difference between two methods: _.clone()
from the Lodash library and array spread ([...]
).
Options Compared
_.clone()
: a method from the Lodash library that creates a shallow clone of an object.[...]
): a syntax feature in JavaScript that allows you to create a new array by spreading elements from an existing array.Pros and Cons
[...]
):Library Usage
The Lodash library is used in this benchmark. Specifically, it provides the clone()
function, which is used to create clones of arrays and other data structures.
Special JS Feature or Syntax
None mentioned in this benchmark, but worth noting that some modern JavaScript features, like ES6 classes, destructuring, or async/await, might require consideration when choosing between these methods.
Other Considerations
When selecting between _.clone()
and array spread, consider the size of your data, the complexity of your objects, and any additional processing you need to perform on the clone. For small datasets or simple data structures, array spread might be sufficient; for larger datasets or more complex data structures, _.clone()
might provide better performance.
Alternatives
Other alternatives to these methods include:
Array.prototype.slice()
method or Object.assign()
.Array.from()
or Array.reduce()
, although these might not provide the same level of performance as array spread.Keep in mind that the choice ultimately depends on your specific use case and performance requirements.