Benchmark: Unsorted TC-DOHSIM for..of vs reduce

HTML Preparation code:

<div id='test'></div>

Tests:

Sort
function shuffleArray(array) { for (var i = array.length - 1; i > 0; i--) { var j = Math.floor(Math.random() * (i + 1)); var temp = array[i]; array[i] = array[j]; array[j] = temp; } return array; } var res = 850; var val = res; var arr = shuffleArray([1000, 600, 800]); for (var value of arr.sort((a, b) => a - b)) { val = res > value ? value : val; break; } console.log(val);
No Sort
var res = 850; var val = res; var arr = [1000, 600, 800]; for (const value of arr) { val = res < value ? val : Math.max(val, value); } console.log(val);
No Sort Reduce
var res = 850; var val = res; var arr = [1000, 600, 800]; val = arr.reduce((current, value) => res < value ? current : Math.max(current, value), res); console.log(val);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Sort
No Sort
No Sort Reduce

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its various aspects.

**Benchmark Definition**

The benchmark is designed to compare the performance of three different approaches to find the maximum value in an unsorted array:

1. Using `for...of` loop with sorting (`Sort`)
2. Without using any loops or sorting (`No Sort`)
3. Using the built-in `reduce()` method (`No Sort Reduce`)

**Options Compared**

The benchmark compares two main approaches:

* **For-Of Loop**: Uses a `for...of` loop to iterate over the array and finds the maximum value.
* **Reduce Method**: Uses the `reduce()` method to find the maximum value in the array.

Additionally, the benchmark includes a control case that does not use any loops or sorting (`No Sort`).

**Pros and Cons of Each Approach**

1. **For-Of Loop (Sort)**:
	* Pros: Easy to read and understand, straightforward logic.
	* Cons: Sorting the entire array can be inefficient for large datasets.
2. **Reduce Method (No Sort Reduce)**:
	* Pros: More efficient than sorting the entire array, as it only needs to iterate over the array once.
	* Cons: May require additional understanding of the `reduce()` method's behavior.
3. **No Loop/Sorting (`No Sort`)**:
	* Pros: Extremely simple and easy to understand, can be a good benchmark for basic JavaScript performance.
	* Cons: Can be slow due to unnecessary calculations (e.g., comparing each element with itself).

**Library Usage**

None of the provided benchmark definitions rely on any external libraries.

**Special JS Features/Syntax**

The `reduce()` method used in the "No Sort Reduce" case is a built-in JavaScript function that can be unfamiliar to some developers. However, its usage is straightforward and well-documented.

**Other Considerations**

When designing benchmarks like this one, it's essential to consider factors such as:

* **Dataset size**: The benchmark uses an array of 3 elements, which may not accurately represent performance characteristics for larger datasets.
* **Execution frequency**: The number of executions per second (e.g., 212103.359375) can be misleading without context, making it difficult to interpret the results.
* **Browser/Device variations**: The benchmark is run on Chrome 109 with different device platforms and operating systems, which may impact performance.

**Alternative Approaches**

For a more comprehensive comparison:

1. Consider using larger dataset sizes or more complex datasets (e.g., arrays with multiple data types).
2. Include additional tests for other methods, such as using `forEach()` or iterating over the array with traditional loops.
3. Use different browsers or devices to better represent real-world usage scenarios.
4. Incorporate additional performance metrics, like memory allocation or garbage collection overhead.

Keep in mind that benchmarking JavaScript performance can be complex and nuanced, and there's no single "right" approach for every scenario.

Related benchmarks:

Unsorted TC-DOHSIM for..of vs reduce (version: 0)

Testing DOHSIM shuffled performance of find vs for

Comparing performance of: Sort vs No Sort vs No Sort Reduce

Created: 3 years ago by: Guest

Jump to the latest result

Sort

No Sort

No Sort Reduce

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):