var DogArr = [ "Great Pyranees", "Great Dane", "Irish Wolfhound", "Golden Retriever" ];
function runLoop() {
for( var i = 0; i < DogArr.length; i++ )
{
console.log( DogArr[ i ] );
}
}
function runRecursion() {
var count = 0;
function loopThroughArray() {
if( count < DogArr.length ) {
console.log( DogArr[ count ] );
loopThroughArray();
} else {
return;
}
}
}
runLoop();
runRecursion();
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Loop | |
Recursion |
Test name | Executions per second |
---|---|
Loop | 126093.3 Ops/sec |
Recursion | 153273648.0 Ops/sec |
Let's dive into the explanation of the provided benchmark.
What is being tested?
The benchmark tests two approaches to iterate over an array: a traditional loop and recursion.
Options compared
There are two options being compared:
Pros and Cons of each approach
Library used
There is no explicit library mentioned in the benchmark definition or test cases. However, it's likely that the benchmark uses built-in JavaScript functions and features, such as console.log()
and array iteration methods like forEach()
or for...of
.
Special JS feature or syntax
The benchmark uses a special JS feature called "Closures" with the recursive function loopThroughArray()
. A closure is a function that has access to its own scope and can capture variables from that scope, even when the outer function has finished executing. In this case, the recursive function loopThroughArray()
captures the count
variable from the outer scope, allowing it to keep track of the iteration index.
Other alternatives
If you're interested in exploring other approaches to iterate over an array, here are a few examples:
setTimeout()
function to schedule iterations at regular intervals, allowing for a more controlled and efficient iteration.Note that these alternatives may have their own trade-offs in terms of performance, memory usage, and code complexity.