Benchmark: find faster - for vs find vs map vs foreach

Script Preparation code:

var arr = []
let i = 0
let len = 1000
for(;i<len;i++) {
	arr.push(i)                
}

AخA
 
var arr = []let i = 0let len = 1000for(;i<len;i++) {    arr.push(i)                }

Tests:

for

let i = 0
let len = arr.length
let foundIndex = -1
for(;i<len;i++) {
	if (arr[i] > 999){
    	return i
    }
}

​x
 
let i = 0let len = arr.lengthlet foundIndex = -1for(;i<len;i++) {    if (arr[i] > 999){        return i    }}​

prototype.find
const found = arr.find(function(element) { return element > 999 })
const found = arr.find(function(element) {
return element > 999
})

forEach

let foundForEachIndex = -1
arr.forEach(function (item){
  if (item[i] > 999){
    	foundForEachIndex = i
    	return
    }
})

 
let foundForEachIndex = -1arr.forEach(function (item){  if (item[i] > 999){        foundForEachIndex = i        return    }})

map

let foundMapIndex = arr.map(item => {
if (item[i] > 999){
    	return i
    }
})

 
let foundMapIndex = arr.map(item => {if (item[i] > 999){        return i    }})

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
for
prototype.find
forEach
map

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 11 days ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36

Browser/OS: Chrome 135 on Windows

View result in a separate tab

Test name	Executions per second
for	979191.9 Ops/sec
prototype.find	4385400.5 Ops/sec
forEach	37010.4 Ops/sec
map	35551.6 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

Let's break down the provided benchmark and explain what's being tested, compared options, pros and cons, and other considerations.

Benchmark Overview

The test aims to find the fastest way to search for an element in an array that exceeds 999 using different approaches: for, prototype.find, forEach, and map.

Options Compared

For Loop: Iterates through the array manually using a counter variable (i) and checks each element individually.
Prototype.find Method: Uses the find() method, which calls the provided callback function once for each element in the array until it finds a match or reaches the end of the array.
ForEach Loop: Iterates through the array manually using an iterator (forEach) and executes a callback function for each element.
Map Function: Creates a new array with the results of applying a provided function to each element in the original array.

Pros and Cons

For Loop:
- Pros: Simple, efficient, and suitable for small arrays.
- Cons: Can be slow for large arrays due to manual iteration.
Prototype.find Method:
- Pros: Fast, concise, and elegant. Stops iterating as soon as a match is found.
- Cons: May not work well with older browsers or systems that don't support the find() method.
ForEach Loop:
- Pros: Easy to use, suitable for small to medium-sized arrays.
- Cons: Can be slower than prototype.find due to unnecessary iterations.
Map Function:
- Pros: Fast, suitable for large arrays. Returns a new array without modifying the original.
- Cons: Creates an additional array, which may not be necessary if only searching.

Library and Special Features

The test uses the find() method on prototype objects, which is a built-in feature of JavaScript. It's available in modern browsers and Node.js environments.

The forEach function also comes with JavaScript by default.

All these options are suitable for most use cases, but understanding their trade-offs can help optimize performance-critical code.

Other Alternatives

For similar searching scenarios:

Array.prototype.findIndex(): Similar to prototype.find, but returns the index of the first element that satisfies the condition instead of the element itself.
Binary Search: Suitable for sorted arrays, offering a significant improvement in performance over linear search algorithms.

Code Explanation

The provided benchmark code uses an array of 1000 elements and pushes numbers from 0 to 999 into it. Each test case uses a different method to find the index of the first element greater than 999:

For Loop: Iterates manually using i, checks each element, and returns the index once found.
Prototype.find Method: Uses the find() method to search for an element that satisfies the condition (arr[i] > 999).
ForEach Loop: Iterates using forEach, executes a callback function for each element, and updates a variable if it finds an element greater than 999.
Map Function: Creates a new array with results of applying a provided function to each element, stopping as soon as it finds an element that satisfies the condition.

These different methods highlight their performance differences in finding specific elements within large arrays.

Benchmarking Considerations

The test runs on Chrome 130 with multiple executions per second.
Devices are set as Desktop and Windows for consistency.
Browser and device information help when interpreting the benchmark results.

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested, compared options, pros and cons, and other considerations.

**Benchmark Overview**

The test aims to find the fastest way to search for an element in an array that exceeds 999 using different approaches: `for`, `prototype.find`, `forEach`, and `map`.

**Options Compared**

1. **For Loop**: Iterates through the array manually using a counter variable (`i`) and checks each element individually.
2. **Prototype.find Method**: Uses the `find()` method, which calls the provided callback function once for each element in the array until it finds a match or reaches the end of the array.
3. **ForEach Loop**: Iterates through the array manually using an iterator (`forEach`) and executes a callback function for each element.
4. **Map Function**: Creates a new array with the results of applying a provided function to each element in the original array.

**Pros and Cons**

*   **For Loop**:
    *   Pros: Simple, efficient, and suitable for small arrays.
    *   Cons: Can be slow for large arrays due to manual iteration.
*   **Prototype.find Method**:
    *   Pros: Fast, concise, and elegant. Stops iterating as soon as a match is found.
    *   Cons: May not work well with older browsers or systems that don't support the `find()` method.
*   **ForEach Loop**:
    *   Pros: Easy to use, suitable for small to medium-sized arrays.
    *   Cons: Can be slower than `prototype.find` due to unnecessary iterations.
*   **Map Function**:
    *   Pros: Fast, suitable for large arrays. Returns a new array without modifying the original.
    *   Cons: Creates an additional array, which may not be necessary if only searching.

**Library and Special Features**

The test uses the `find()` method on prototype objects, which is a built-in feature of JavaScript. It's available in modern browsers and Node.js environments.

The `forEach` function also comes with JavaScript by default.

All these options are suitable for most use cases, but understanding their trade-offs can help optimize performance-critical code.

**Other Alternatives**

For similar searching scenarios:

1.  **Array.prototype.findIndex()**: Similar to `prototype.find`, but returns the index of the first element that satisfies the condition instead of the element itself.
2.  **Binary Search**: Suitable for sorted arrays, offering a significant improvement in performance over linear search algorithms.

**Code Explanation**

The provided benchmark code uses an array of 1000 elements and pushes numbers from 0 to 999 into it. Each test case uses a different method to find the index of the first element greater than 999:

1.  **For Loop**: Iterates manually using `i`, checks each element, and returns the index once found.
2.  **Prototype.find Method**: Uses the `find()` method to search for an element that satisfies the condition (`arr[i] > 999`).
3.  **ForEach Loop**: Iterates using `forEach`, executes a callback function for each element, and updates a variable if it finds an element greater than 999.
4.  **Map Function**: Creates a new array with results of applying a provided function to each element, stopping as soon as it finds an element that satisfies the condition.

These different methods highlight their performance differences in finding specific elements within large arrays.

**Benchmarking Considerations**

*   The test runs on Chrome 130 with multiple executions per second.
*   Devices are set as Desktop and Windows for consistency.
*   Browser and device information help when interpreting the benchmark results.

Related benchmarks:

find faster - for vs find vs map vs foreach (version: 0)

Comparing performance of: for vs prototype.find vs forEach vs map

Created: 5 years ago by: Guest

Jump to the latest result

for

prototype.find