Benchmark: Test for1234 - MeasureThat.net

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var max1 = 100000; // 100,000 (100 Thousand)
var max2 = 10000000; // 10,000,000 (10 Million)
var max3 = 100000000; // 100,000,000 (100 Million)

var arr1 = [];
//for (var i = 0; i <= max1; i++) { arr1.push(i); }

var arr2 = [];
for (var i = 0; i <= max2; i++) { arr2.push(i); }

var arr3 = [];
//for (var i = 0; i <= max3; i++) { arr3.push(i); }

Tests:

Native
for(const element of arr2){ element = element * 2 }
Loadash
_.each(arr2, function (element, index) { element = element*2; });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native
Loadash

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

I'd be happy to help you understand what's being tested in this JavaScript microbenchmark.

**Benchmark Definition JSON**

The benchmark definition provides the context for the tests that will be executed. It consists of two main parts:

1. **Script Preparation Code**: This section contains the code that is used to prepare the test environment. In this case, it sets up three arrays (`arr1`, `arr2`, and `arr3`) with increasing maximum values (100,000, 10,000,000, and 100,000,000) using traditional `for` loops. These arrays will be used as input for the test cases.
2. **Html Preparation Code**: This section includes a link to a JavaScript library called Lodash, which is used in one of the test cases.

**Individual Test Cases**

There are two individual test cases:

1. **Native**: This test case uses a traditional `for` loop with the `const` keyword and element destructuring (i.e., `const element of arr2`) to iterate over the array and perform an operation on each element.
2. **Lodash**: This test case uses the Lodash library's `each` function to iterate over the array and perform an operation on each element.

**Comparison**

The two test cases are being compared in terms of their performance. The benchmark will measure how long it takes to execute each test case using a specific JavaScript engine (in this case, Chrome 88).

**Pros and Cons of Different Approaches**

1. **Native**: This approach uses traditional `for` loops with element destructuring, which is a modern and efficient way to iterate over arrays in JavaScript.
	* Pros: Lightweight, fast execution, and easy to understand for developers familiar with the syntax.
	* Cons: May not be compatible with older browsers or environments that don't support `const` or arrow functions.
2. **Lodash**: This approach uses an external library to perform the iteration and operation on each element.
	* Pros: Can be more readable and maintainable, especially for complex operations, as it separates the concern of iterating over data from the logic of performing the operation.
	* Cons: Requires loading an additional library, which may add overhead or impact performance in some cases.

**Other Considerations**

1. **Performance Impact**: The choice between native iteration and Lodash's `each` function can have a significant performance impact, especially for large datasets. Native iteration tends to be faster, while Lodash's approach provides more flexibility but may incur additional overhead.
2. **Compatibility and Maintenance**: When choosing an approach, consider the compatibility with different browsers, environments, and versions of JavaScript. Additionally, maintainability is crucial when using external libraries like Lodash.

**Other Alternatives**

If you're considering alternative approaches for iterating over arrays in JavaScript, some other options include:

* `forEach()`: This method is part of the Array prototype and can be used to iterate over arrays with a callback function.
* `map()`, `filter()`, or `reduce()`: These methods are also part of the Array prototype and provide more expressive ways to process array data.

However, native iteration (using traditional `for` loops) remains a popular choice for its simplicity, readability, and performance characteristics.

Related benchmarks:

Test for1234 (version: 0)

Comparing performance of: Native vs Loadash

Created: 4 years ago by: Guest

Jump to the latest result

Native

Loadash

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):