Benchmark: Array.reduce vs for loop vs Array.forEach vs for of loop adsadsadsa

Script Preparation code:

//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)));
}

function reduceCallback(accum, curr) {
	return accum+curr;
}

function doRedeuce(pArray) {
	return pArray.reduce(reduceCallback);
}
function doForLoop(pArray) {
	var accum = 0;
	var arrLength = pArray.length;
	for(var intCtr=0; intCtr<arrLength; intCtr++) {
		accum += pArray[intCtr];
	}
	return accum;
}
function doForOfLoop(pArray) {
	var accum = 0;
	for(var value of pArray) {
		accum += value;
	}
	return accum;
}
function doForEach(pArray) {
	var accum = 0;
	pArray.forEach(function(item) {
		accum += item;
	});
}

Tests:

reduce
var redeuceResult=0; redeuceResult = doRedeuce(arrRandom);
for loop
var loopResult=0; loopResult = doForLoop(arrRandom);
forEach
var forEachResult=0 forEachResult = doForEach(arrRandom)
for of loop
var forOfResult=0 forOfResult = doForOfLoop(arrRandom)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduce
for loop
forEach
for of loop

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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Let's break down the benchmark and its various components.

**Benchmark Definition**

The main goal of this benchmark is to compare the performance of four different approaches for summing an array of 1000 random integers:

1. `Array.prototype.reduce()`
2. A traditional `for` loop
3. `Array.prototype.forEach()`
4. An `Array.from()`-based `for...of` loop (not explicitly shown in the benchmark, but implied by the use of `Array.from()`)

**Options Compared**

The four options being compared are:

1. **Reducing an array using `Array.prototype.reduce()`**: This method applies a callback function to each element of the array, accumulating the results.
2. **Traditional `for` loop**: A classic approach that uses a loop variable to iterate over the array elements and accumulates the sum manually.
3. **Using `Array.prototype.forEach()`**: This method iterates over the array elements using a callback function, but does not accumulate the sum itself.
4. **For-of loop with `Array.from()`**: An alternative way to create an iterable sequence from an array, which can be used in a `for...of` loop.

**Pros and Cons**

Here's a brief summary of the pros and cons for each approach:

1. **Reducing an array using `Array.prototype.reduce()`**:
	* Pros: concise, efficient, and eliminates the need to manually manage indices.
	* Cons: may have performance overhead due to the creation of an intermediate accumulator object.
2. **Traditional `for` loop**:
	* Pros: lightweight, easy to understand, and can be optimized for performance.
	* Cons: requires manual indexing management, which can lead to errors and inefficiencies.
3. **Using `Array.prototype.forEach()`**:
	* Pros: simple, intuitive, and eliminates the need to manually manage indices.
	* Cons: does not accumulate the sum itself, requiring additional code to achieve this.
4. **For-of loop with `Array.from()`**:
	* Pros: concise, efficient, and avoids manual indexing management.
	* Cons: relies on `Array.from()` for creation of the iterable sequence, which may have performance overhead.

**Libraries and Special Features**

The benchmark uses the following libraries:

1. None explicitly mentioned in the provided code, but it is likely that modern JavaScript engines use various underlying libraries for array manipulation (e.g., V8 for Google Chrome).

As for special features, the `Array.from()` function is used to create an iterable sequence from the original array. This feature allows for concise and expressive way of creating sequences without manual indexing management.

**Other Alternatives**

If not using `Array.prototype.reduce()`, other alternatives for summing an array could include:

1. Using a custom accumulator object or variable.
2. Utilizing libraries like Lodash or Ramda for functional programming approaches.
3. Implementing a custom iterative solution using bitwise operators and arithmetic operations.

Keep in mind that these alternatives may have different performance characteristics, readability, and maintainability trade-offs compared to the original options being benchmarked.

In summary, this benchmark provides a concise way to compare the performance of four different approaches for summing an array of random integers. By examining the pros and cons of each option, developers can choose the most suitable approach for their specific use cases.

Related benchmarks:

Array.reduce vs for loop vs Array.forEach vs for of loop adsadsadsa (version: 0)

A test summing 1000 random numbers, 1 - 10000

Comparing performance of: reduce vs for loop vs forEach vs for of loop

Created: 5 years ago by: Guest

Jump to the latest result

reduce

for loop

forEach

for of loop

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):