Benchmark: splice vs array - moving items

Script Preparation code:

var list = [];
for (var i = 0; i < 100; i++) {
  list.push(i);
}
var startIndex = 0;
var endIndex = 99;

Tests:

splice
const result = Array.from(list); const [removed] = result.splice(startIndex, 1); result.splice(endIndex, 0, removed); return result;
reduce
const itemToMove = list[startIndex]; return list.reduce((acc, item, index) => { if (index === startIndex) { return acc; } if (index === endIndex) { return startIndex < endIndex ? [...acc, item, itemToMove] : [...acc, itemToMove, item]; } return [...acc, item]; }, []);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
splice
reduce

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.

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

**Benchmark Overview**

The benchmark measures the performance of two approaches to move an item from one position to another in an array:

1. Using `Array.prototype.splice()` with slicing (`splice(startIndex, 1)` followed by `splice(endIndex, 0, ...)`).
2. Using a custom `reduce()` function.

**Options Compared**

The benchmark compares the performance of these two approaches:

* `splice`: This method modifies the original array and can be slower due to the overhead of updating the array's length and indices.
* `reduce()`: This method creates a new array and does not modify the original array. It also involves more complex logic to handle the item movement.

**Pros and Cons**

Here are some pros and cons for each approach:

* `splice`:
	+ Pros: Simple, straightforward implementation.
	+ Cons: May be slower due to the overhead of updating the array's length and indices.
* `reduce()`:
	+ Pros: Creates a new array, avoiding modification of the original array. Can handle item movement more efficiently.
	+ Cons: More complex logic required, which can lead to potential errors if not implemented correctly.

**Library/Functionality**

In this benchmark, the following libraries or functionality are used:

* `Array.prototype.splice()`: This is a built-in JavaScript method for modifying arrays.
* `Array.prototype.reduce()`: This is a built-in JavaScript method for creating new arrays and performing operations on each element.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntaxes mentioned in this benchmark. The code uses standard JavaScript methods and syntax.

**Other Alternatives**

If the benchmark had used other approaches, some alternatives could be:

* Using `Array.prototype.slice()` instead of `splice()`, which would also create a new array.
* Using `Array.prototype.map()` and concatenation to move the item to its new position.
* Using a different library or framework that provides optimized array manipulation functionality.

It's worth noting that the benchmark is designed to compare the performance of two specific approaches, so alternative approaches may not be relevant or fair comparisons.

Related benchmarks:

splice vs array - moving items (version: 0)

Comparing performance of: splice vs reduce

Created: 2 years ago by: Guest

Jump to the latest result

splice

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):