var a=Array.from({length:5},()=>Math.random())
var b = a.slice();
b.sort();
a.reduce((a,c) => a < c ? a : c)
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
sort | |
reduce |
Test name | Executions per second |
---|---|
sort | 2207052.0 Ops/sec |
reduce | 14546720.0 Ops/sec |
Let's dive into the world of MeasureThat.net and explore what's being tested in this benchmark.
What is being tested?
The provided JSON represents two individual test cases, each comparing the performance of JavaScript arrays using the sort()
method versus the reduce()
method. Specifically, the tests are designed to measure the execution time of these methods when applied to a small set of 5 random numbers generated by Math.random()
. The array is sliced and sorted (or reduced) in separate operations.
Options compared
In this benchmark, two options are being compared:
sort()
method: This method sorts an array in ascending or descending order based on the values of its elements.reduce()
method: This method applies a callback function to each element in an array and reduces it to a single output value.Pros and cons of each approach:
sort()
: Pros:reduce()
: Pros:sort()
, allowing for custom comparison logic.Library usage
In this benchmark, no external libraries are used. Both sort()
and reduce()
are built-in methods in JavaScript.
Special JS feature/syntax
There is no explicit mention of any special JavaScript features or syntax being tested. However, it's worth noting that the use of =>
(arrow function syntax) is present in both test cases, which has become a standard feature in modern JavaScript.
Other alternatives
If you were to optimize the performance of sorting small arrays, alternative approaches might include:
Array.prototype.sort()
with a compare function: This can provide more control over the comparison logic and may be faster than using sort()
directly.sort()
for small arrays, but they would require more implementation effort.For reducing an array, alternative approaches might include:
Array.prototype.reduce()
with a callback function: This can provide more control over the reduction logic and may be faster than using reduce()
.reduce()
, but they would require more implementation effort.Keep in mind that for larger datasets, the performance differences between these methods are often negligible, and other factors like cache performance, garbage collection, and CPU efficiency become more important.