// Create an array of 1000 random intergers between 1 and 10000
var arrRandom = [];
for(var intCtr=0; intCtr<1000; intCtr++) {
arrRandom.push(Math.floor(Math.random() * Math.floor(10000)));
}
arrRandom.reduce((acc, v) => (acc.push(v), acc), [])
arrRandom.reduce((acc, v) => ([acc, v]), [])
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
reduce | |
for loop |
Test name | Executions per second |
---|---|
reduce | 305178.3 Ops/sec |
for loop | 2033.3 Ops/sec |
Let's break down the provided JSON data and explain what's being tested in each benchmark.
Overall Purpose:
The MeasureThat.net
website is used to compare the performance of different approaches to perform a specific task, in this case, summing up 1000 random numbers. The goal is to identify which approach is the most efficient.
Benchmark Definition JSON:
reduce()
method with an array as its argument. The reduce()
method applies a function to each element in the array and reduces it to a single output value.for
loop and Math.random()
.for
loop to iterate over the array and perform the sum.for
loop and Math.random()
.Options Compared:
reduce()
method uses a more concise and expressive way to accumulate values using the (acc, v) => (acc.push(v), acc)
syntax.Pros and Cons:
reduce()
Library/Tool Used: None mentioned in this specific benchmark. However, if you were to use additional libraries or tools, they would likely be used for:
lodash
or Array.prototype.reduce()
)Special JS Feature/Syntax:
The reduce()
method uses the accumulator pattern and syntax (acc, v) => (acc.push(v), acc)
to accumulate values. This is an advanced JavaScript concept that requires understanding of functional programming principles.
Other Alternatives: