var other = [ "hello", true, 7 ].slice();
var other = [ [ "hello", true, 7 ] ]
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
slice | |
spread operator |
Test name | Executions per second |
---|---|
slice | 4358817.5 Ops/sec |
spread operator | 2397807.5 Ops/sec |
Let's break down the provided JSON and explain what's being tested.
The test is comparing two approaches to concatenate arrays in JavaScript:
concat()
method: This involves using the built-in concat()
function, which creates a new array by copying the contents of one or more source arrays....
): This allows you to use the spread operator to create a new array from an existing one.Pros and Cons:
concat()
method:...
):Other considerations:
concat()
, a new array is created, which can lead to increased memory usage and potentially slower performance. In contrast, the spread operator creates a shallow copy of the original array, reducing memory allocations.concat()
due to its optimized implementation under the hood.Library:
There is no explicit library mentioned in this benchmark definition. However, it's worth noting that both approaches are built-in methods in JavaScript.
Special JS feature/syntax:
The use of the spread operator (...
) is a relatively recent addition to the JavaScript language, introduced in ECMAScript 2015 (ES6). This syntax allows for more concise and expressive array manipulation.
Now, let's analyze the test results:
ExecutionsPerSecond
) for each browser and device platform.slice()
test is faster than the spread operator test in both browsers, indicating that concat()
might be optimized or more efficient for this particular use case.spread operator
test is faster in the Yandex Browser 17 but slower in the other browsers. This suggests that browser-specific optimizations or implementation differences play a role.Other alternatives:
In addition to concat()
and the spread operator, there are other approaches to concatenate arrays:
concat()
or the spread operator.These alternative approaches might provide different trade-offs between performance, memory usage, and code readability.