var arr = [];
var max = 1000;
var valueToFind = 500;
for (var i = 0; i < 1000; i++) {
arr[i] = Math.floor(Math.random()*max);
}
arr.find(item => item === valueToFind);
const len=arr.length;
for (var i = 0; i < len; i++) {
if (arr[i]===valueToFind) {
break;
}
}
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
find | |
for |
Test name | Executions per second |
---|---|
find | 13294.8 Ops/sec |
for | 7046.3 Ops/sec |
Let's break down the provided benchmark and explain what is being tested.
Benchmark Purpose: The goal of this benchmark is to compare the performance of two approaches for finding an element in an array:
arr.find(item => item === valueToFind)
: This approach uses the built-in find
method, which returns the first element that satisfies the provided condition.for
loop with a conditional break: This approach uses a traditional for
loop to iterate over the array and find the desired element by checking each element's equality with valueToFind
.Options Compared: The benchmark is comparing two options:
find
method: This approach is implemented using a single line of code, making it concise and expressive.for
loop with conditional break: This approach involves more code, but can be useful for situations where no built-in methods are available or desired.Pros and Cons:
find
method:find
methodfor
loop with conditional break:find
method due to its iterative natureLibrary Usage:
In this benchmark, no libraries are explicitly mentioned. However, some modern browsers' find
method implementation relies on external libraries or frameworks for performance optimization.
Special JavaScript Feature/Syntax:
There is no special JavaScript feature or syntax used in this benchmark beyond the built-in find
method and traditional for
loop constructs.
Now, let's consider alternative approaches to finding an element in an array:
Array.prototype.indexOf()
: This approach uses the indexOf
method instead of find
. It has a similar performance profile to find
but may not be as concise.for
loops but may require more code and understanding of algorithms.These alternative approaches offer varying trade-offs between conciseness, performance, and control over iteration.