Benchmark: vanilla partition vs forEach with array push

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var tabl = Array.from({ length: 10000 }).map((value, i) => i)

Tests:

my partition
const [small, large] = // Use "deconstruction" style assignment tabl .reduce((result, element) => { result[element % 2 ? 0 : 1].push(element); // Determine and push to small/large arr return result; }, [[], []]);
forEach
let a = [], b = []; let result = tabl.forEach(item => {if (item%2) {a.push(item)} else {b.push(item)}})

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
my partition
forEach

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 explain what's being tested.

**Benchmark Overview**

The benchmark is designed to compare two approaches for processing an array of 10,000 elements: partitioning using the `reduce()` method with a custom callback function, and using the `forEach()` method with a conditional statement to push elements into separate arrays (`small` and `large`). The goal is to measure the performance difference between these two approaches.

**Options Compared**

The benchmark compares the following options:

1. **Partitioning using `reduce()` method**: This approach uses a custom callback function to iterate through the array, determine whether each element belongs in the `small` or `large` array, and push it into the corresponding array.
2. **Using `forEach()` method with conditional statement**: This approach uses the `forEach()` method to iterate through the array, but with an additional conditional statement to determine which array to push elements into.

**Pros and Cons**

* **Partitioning using `reduce()` method**:
	+ Pros: This approach can be more flexible and efficient for certain use cases, as it allows for a custom callback function to be defined.
	+ Cons: The code can become more complex and harder to understand due to the need to define a custom callback function.
* **Using `forEach()` method with conditional statement**:
	+ Pros: This approach is often simpler and easier to read, as it uses a well-known and widely used method (`forEach()`) and avoids the need for a custom callback function.
	+ Cons: The performance might be slower due to the overhead of the additional conditional statement.

**Library and Special JS Feature**

The benchmark uses the `lodash` library, which provides a `reduce()` method. However, in this specific case, it's used with a custom callback function instead of relying on the built-in `Array.prototype.reduce()` method.

There are no special JavaScript features or syntax being tested in this benchmark.

**Other Alternatives**

If you wanted to compare these approaches further, some alternative options could include:

* Using other array methods, such as `map()`, `filter()`, or `every()`
* Implementing a custom iterative loop using a for loop or a while loop
* Comparing the performance of these approaches on different types of arrays (e.g., sparse arrays, or large objects with nested arrays)

Keep in mind that the specific alternatives will depend on the goals and requirements of the benchmark.

Related benchmarks:

vanilla partition vs forEach with array push (version: 0)

Comparing performance of: my partition vs forEach

Created: 5 years ago by: Guest

Jump to the latest result

my partition

forEach

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):