Benchmark: For Of - MeasureThat.net

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.4/lodash.min.js"></script>

Script Preparation code:


// Populate the base array
var arr = [];
for (var i = 0; i < 1000; i++) {
  arr[i] = i;
}

function fn(a) {
  return a * 2 * 5;
}

Tests:

native
arr.forEach((a)=>{a * 2 * 5;} )
lodash
_.forEach(arr,fn)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
native
lodash

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'll break down the benchmark and explain what's being tested, compared, and their pros and cons.

**Benchmark Definition**

The benchmark is testing two different approaches to iterate over an array: native JavaScript `forEach` loop and using the Lodash library with `_forEach`.

The script preparation code creates a base array `arr` with 1000 elements and defines a function `fn(a)` that takes an element, multiplies it by 2, and then by 5. The script also includes the Lodash library.

**Options Compared**

Two options are being compared:

1. **Native JavaScript `forEach` loop**: This approach uses the built-in `forEach` method provided by JavaScript engines to iterate over the array.
2. **Lodash `_forEach` function**: This approach uses a custom implementation of `forEach` from the Lodash library.

**Pros and Cons**

**Native JavaScript `forEach` Loop:**

Pros:

* Wide support across different browsers and platforms
* Efficient use of CPU resources
* Simple to understand and implement

Cons:

* May have varying performance due to browser or engine implementations
* Can be slower for large datasets

**Lodash `_forEach` Function:**

Pros:

* Well-optimized and highly performant implementation
* Reduces the need to manually manage loop variables and memory
* Wide support across different browsers and platforms

Cons:

* Adds an external dependency (Lodash library)
* May introduce additional overhead due to function call and object lookups
* Can be less intuitive for developers unfamiliar with Lodash or functional programming concepts

**Other Considerations**

* The benchmark is running on a desktop browser instance, which may affect performance.
* The `arr` array has a fixed size of 1000 elements, but the actual dataset size can vary in real-world scenarios.
* The `fn(a)` function is simple and consistent, but more complex functions with side effects or conditional logic might impact performance.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for various tasks, such as array manipulation, string processing, and functional programming. In this benchmark, the `_forEach` function is used to iterate over the `arr` array, providing an alternative implementation to the native JavaScript `forEach` loop.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntax mentioned in the benchmark definition. However, the use of Lodash introduces a dependency and requires familiarity with functional programming concepts, which might affect the performance and readability of the code.

**Alternatives**

Other alternatives to compare with native JavaScript `forEach` loop could include:

1. **Array.prototype.forEach.call()**: This method uses the `call()` method to call the `forEach` function on an array object.
2. **For...of loop**: This is a newer, more modern iteration mechanism in JavaScript that allows iterating over arrays and other iterable objects.
3. **V8-specific optimization**: Depending on the browser and engine being used, there might be specific optimizations available for the native JavaScript `forEach` loop.

By considering these alternatives, the benchmark can provide a more comprehensive understanding of performance differences between various iteration mechanisms in JavaScript.

Related benchmarks:

For Of (version: 0)

Comparing performance of: native vs lodash

Created: 7 years ago by: Guest

Jump to the latest result

native

lodash

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):