Benchmark: javascript nested array flatten (concat + apply vs reduce + concat vs flat)

Script Preparation code:

var params = [[ 1, 2 ], [ "hello", true, 7 ], [3, 4, 5]];

Tests:

concat + apply
var other = [].concat.apply([], params)
apply vs reduce
var other = params.reduce((acc, val) => acc.concat(val), []);
concat vs flat
var other = params.flat();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
concat + apply
apply vs reduce
concat vs flat

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36 Edg/116.0.1938.62

Browser/OS: Chrome 116 on Windows

View result in a separate tab

Test name	Executions per second
concat + apply	7276891.0 Ops/sec
apply vs reduce	5245440.0 Ops/sec
concat vs flat	1106001.4 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested.

**Benchmark Definition**
The benchmark is designed to compare three approaches for flattening a nested array in JavaScript: `concat + apply`, `reduce + concat`, and `concat vs flat`.

**What's being tested**

The benchmark measures the performance of each approach, which involves:

1. Creating a sample nested array `params` with varying sizes and data types.
2. Comparing different methods to flatten this array:
	* Approach 1: Using `concat()` followed by `apply()`.
	* Approach 2: Using `reduce()` followed by `concat()`.
	* Approach 3: Using the built-in `flat()` method.

**Options compared**

The benchmark compares the performance of three different approaches:

1. **`concat + apply`**: This approach uses `concat()` to merge arrays and then applies `apply()` with an array of arguments.
2. **`reduce + concat`**: This approach uses `reduce()` to iterate over the nested array, accumulating values in a new array using `concat()`.
3. **`concat vs flat`**: This approach directly compares the performance of using `concat()` versus the built-in `flat()` method.

**Pros and Cons**

Here's a brief summary of each approach:

1. **`concat + apply`**:
	* Pros: Simple, straightforward implementation.
	* Cons: Can be slow due to repeated calls to `concat()`.
2. **`reduce + concat`**:
	* Pros: More efficient than `concat + apply`, as it avoids unnecessary concatenations.
	* Cons: Requires understanding of the `reduce()` function and its implications on performance.
3. **`concat vs flat`**:
	* Pros: Uses a built-in method (`flat()`) that's optimized for performance.
	* Cons: May not work correctly with certain data structures or versions of JavaScript.

**Library used**

None of the tested approaches rely on any external libraries.

**Special JS feature or syntax**

The benchmark does not use any special JavaScript features or syntax beyond basic array manipulation and built-in methods.

**Other alternatives**

There are other ways to flatten nested arrays in JavaScript, such as:

* Using `forEach()` with a callback function
* Utilizing `Array.prototype.map()` or `Array.prototype.reduce()`
* Employing recursive functions

However, these approaches might not be directly comparable to the benchmarked approaches without modifications.

I hope this explanation helps you understand what's being tested in MeasureThat.net!

Related benchmarks:

javascript nested array flatten (concat + apply vs reduce + concat vs flat) (version: 0)

javascript nested array flatten

Comparing performance of: concat + apply vs apply vs reduce vs concat vs flat

Created: one year ago by: Guest

Jump to the latest result

concat + apply

apply vs reduce

concat vs flat

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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