var array = Array(100).fill(1);
let i = 10000;
while(i>0) {
const t1 = array.slice()
i--;
}
let i = 10000;
while(i>0) {
const t1 = [array];
i--;
}
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
splice | |
deconstruct |
Test name | Executions per second |
---|---|
splice | 5121.6 Ops/sec |
deconstruct | 1207.4 Ops/sec |
Let's break down the provided JSON and explain what's being tested.
Benchmark Definition
The benchmark definition is a JavaScript script that defines two test cases: splice
and deconstruct
. Both tests measure the performance of creating a copy of an array using different approaches.
Approaches Compared
array.slice()
method to create a copy of the array.const t1 = [...array];
) to create a copy of the array.Pros and Cons of Each Approach
slice()
because it doesn't create a new object, but instead creates an array view into the original array.Other Considerations
while
loop to ensure that the results are consistent across multiple executions.Library and Purpose
There isn't a specific library mentioned in the JSON, but it's likely that the author of the benchmark used the built-in JavaScript features for array manipulation. However, some libraries like Lodash or Ramda might have been used indirectly by importing functions from other modules.
Special JS Features or Syntax
The deconstruct
approach uses a feature called "destructuring assignment", which is a syntax introduced in ECMAScript 2015 (ES6). This feature allows you to extract values from an array into separate variables. The const t1 = [...array];
expression creates a new array view into the original array, allowing for efficient iteration over the elements.
Other Alternatives
If you're interested in exploring alternative approaches or libraries, here are some options:
map()
to create a copy of an array by mapping each element to a new value. However, this approach might be slower than slice()
and deconstruction due to the overhead of function calls.Array.from()
: This method creates a new array from an iterable source, which could be used as an alternative to deconstruction.Keep in mind that the performance differences between these approaches might not be significant in all scenarios. However, when dealing with large datasets and high-performance requirements, the differences become more pronounced.