var arr = [];
for (let i;i<1000000;i++){
arr.push(i);
}
var other = arr.slice();
var other = [ arr ]
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Array.prototype.slice | |
spread operator |
Test name | Executions per second |
---|---|
Array.prototype.slice | 7912726.5 Ops/sec |
spread operator | 7474423.5 Ops/sec |
Let's break down the benchmark and explain what's being tested.
Benchmark Overview
The test is designed to compare two approaches for creating an array copy: Array.prototype.slice()
and the spread operator (...
). The benchmark aims to determine which method is faster and more efficient.
Options Compared
Two options are compared:
Array.prototype.slice()
: This is a traditional way of creating an array copy by using the slice()
method on the original array....
): This is the new ES6 syntax for creating an array copy by spreading the elements of an existing array.Pros and Cons
Here are some pros and cons of each approach:
Array.prototype.slice()
:slice()
method, which can add overhead....
):slice()
approach.{ ...arr }
).slice()
method.slice()
approach for very large arrays.Library
The benchmark doesn't use any external libraries. However, it does rely on the built-in JavaScript functionality for array manipulation.
Special JS Feature/Syntax
This benchmark uses a modern JavaScript feature: the spread operator (...
). The spread operator was introduced in ECMAScript 2015 (ES6) and has since become a standard part of the language.
Other Considerations
When running this benchmark, you may want to consider factors such as:
Other Alternatives
If you're interested in exploring alternative approaches for creating an array copy, here are a few options:
Array.from()
: This method creates a new array from an iterable or an array-like object.Array.prototype.concat()
: This method concatenates multiple arrays into a single array.Buffer
: For very large arrays, using Buffer
can provide better performance.Keep in mind that each approach has its own trade-offs and use cases. When choosing an approach, consider the specific requirements of your project and the characteristics of your data.