const shuffleArray = array => {
const arr = [array];
for (let i = arr.length - 1; i > 0; i--) {
const j = Math.floor(Math.random() * (i + 1));
const temp = arr[i];
arr[i] = arr[j];
arr[j] = temp;
}
return arr;
}
var testArr = Array.from({
length: 5000
}, () => ({val: Math.floor(Math.random() * 4000)}));
var scrambled = shuffleArray(testArr);
scrambled.sort((a,b) => a.val - b.val);
testArr.map((t) => t.val)
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Array.sort | |
Array.map |
Test name | Executions per second |
---|---|
Array.sort | 18055.5 Ops/sec |
Array.map | 83921.8 Ops/sec |
Let's dive into the details of this JavaScript benchmark.
What is being tested?
The provided JSON represents two test cases that compare the performance of Array.sort
and Array.map
. The tests are designed to measure which approach performs better in terms of execution time on a large array of random data.
Options compared:
Two options are being compared:
Pros and cons of each approach:
Array.sort:
Pros:
Array.map
since it doesn't require creating a new array.Cons:
Array.map:
Pros:
Array.sort
since it doesn't require sorting the entire array.Cons:
Other considerations:
shuffleArray
to ensure that the input data is randomly ordered. This helps to isolate the effect of Array.sort
and Array.map
alone, rather than any pre-existing order in the data.Library usage:
There is no explicit library mentioned in the provided JSON. However, JavaScript has several built-in functions that can be used for sorting and mapping arrays, such as Array.prototype.sort()
and Array.prototype.map()
.
Special JS features or syntax:
None of the test code uses any special JavaScript features or syntax beyond what's standard in modern JavaScript implementations. The focus is on comparing the performance of two array operations, which can be performed using basic JavaScript functions.
Alternatives:
There are several other ways to measure and compare the performance of array operations in JavaScript:
Array.prototype.sort()
with different comparison functions: You could test how different comparison functions affect the performance of Array.sort
.Array.sort
, you could implement or use an alternative sorting algorithm like quicksort, mergesort, or heapsort.Array.prototype.reduce()
.Keep in mind that these alternatives might require more complexity in your benchmarking code and might not directly compare the same scenario as this example.