Benchmark: loop direct vs with result checks

Script Preparation code:

function aLoop(obj, fn){
	for (var i=0, len=obj.length;  i<len;  i++){ fn(obj[i], i, obj); };
}
function returnLoop(obj, fn) {
	for(var result,i=0,len=obj.length;  i<len;  i++){
		if((result=fn(obj[i], i, obj))) return result;
		if(result!==undefined) break;
	};
}
var smallObj = [1,2,3];
var largeObj = [1,2,3,4,5,6,7,8,9,10,11,22,33,44,55,66,77,88,99,123,124,125,156,127,128,129,134,135,136,137,138,139,145,146,147,148];

Tests:

loop direct - smallObj
aLoop(smallObj, function(elm) { //return ''; });
loop direct - largeObj
aLoop(largeObj, function(elm) { //return ''; });
loop with result checks - smallObj
returnLoop(smallObj, function(elm) { //return ''; });
loop with result checks - largeObj
returnLoop(largeObj, function(elm) { //return ''; });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
loop direct - smallObj
loop direct - largeObj
loop with result checks - smallObj
loop with result checks - largeObj

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's dive into the explanation of the provided benchmark.

**Benchmark Purpose**

The benchmark measures the performance difference between two approaches to iterating over an array: direct iteration and iteration with result checks.

**Direct Iteration**

In this approach, the loop iterates over the entire array without checking if a result is returned. The function passed to `aLoop` simply executes on each element in the array without any additional logic. This approach assumes that the function will always complete execution before moving on to the next element.

Pros:

* Simple and straightforward implementation.
* Easy to understand for developers familiar with traditional loops.

Cons:

* If a function returns early, it can potentially leave some elements of the array unprocessed.
* May not be efficient if the function is computationally expensive or has side effects.

**Iteration with Result Checks**

In this approach, the loop iterates over the entire array and checks if the result returned by the function is truthy. If a result is returned, it immediately returns from the loop. This approach ensures that all elements in the array are processed at least once, even if the function returns early.

Pros:

* Ensures that all elements in the array are processed, which can be important for certain use cases.
* Can be beneficial if the function has a high likelihood of returning early due to optimization or other factors.

Cons:

* May introduce additional overhead due to the extra check.
* Can lead to slower performance if the loop is executed too frequently.

**Library and Special Features**

In this benchmark, we can see that the `aLoop` and `returnLoop` functions are custom implementations. There is no external library involved in this benchmark.

However, it's worth noting that some browsers (e.g., Firefox) have built-in optimizations that may affect the performance of these loops. For example, Firefox has a "loop unrolling" optimization that can improve loop performance by reducing the number of loop iterations.

**Alternatives**

If you're looking for alternative benchmarking tools or approaches, here are a few options:

1. **Benchmarking frameworks**: There are several popular benchmarking frameworks available for JavaScript, such as BenchmarkJS, jsperf, and micro-benchmark.
2. **Browser-specific benchmarks**: You can also use browser-specific benchmarks like Firefox's `benchmark` module or Chrome's `benchmark` API to create custom benchmarks.
3. **General-purpose benchmarking libraries**: Libraries like Google's `benchmark` library provide a more comprehensive set of tools for creating and running benchmarks.

Keep in mind that the choice of benchmarking tool or approach depends on your specific use case, performance requirements, and development environment.

Related benchmarks:

loop direct vs with result checks (version: 0)

Comparing performance of: loop direct - smallObj vs loop direct - largeObj vs loop with result checks - smallObj vs loop with result checks - largeObj

Created: 4 years ago by: Registered User

Jump to the latest result

loop direct - smallObj

loop direct - largeObj

loop with result checks - smallObj

loop with result checks - largeObj

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):