Benchmark: Array.prototype.slice vs spread operator (forked)

Tests:

Array.prototype.slice
var params = [ "hello", true, 7 ]; var other = params.slice();
spread operator
var params = [ "hello", true, 7 ] var other = [ ...params ]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.prototype.slice
spread operator

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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 definition and test cases.

**Benchmark Definition**

The benchmark is called "Array.prototype.slice vs spread operator (forked)" and it compares the performance of two approaches: `Array.prototype.slice()` and the new ES6 spread operator (`...`).

**Script Preparation Code and Html Preparation Code**

These fields are empty, which means that the test cases don't require any special setup or HTML structure to run.

**Individual Test Cases**

There are two test cases:

1. **Array.prototype.slice**

This test case creates an array `params` with three elements: "hello", `true`, and `7`. It then calls `slice()` on this array, which returns a new array containing the same elements.
```javascript
var params = [ "hello", true, 7 ];
var other = params.slice();
```
2. **Spread Operator**

This test case creates an array `params` with three elements: "hello", `true`, and `7`. It then uses the spread operator (`...`) to create a new array containing the same elements.
```javascript
var params = [ "hello", true, 7 ];
var other = [ ...params ];
```
**Library Usage**

There is no explicit library usage in these test cases. However, it's worth noting that `Array.prototype.slice()` and the spread operator are built-in JavaScript features.

**Special JS Feature/Syntax**

The only special syntax used here is the spread operator (`...`), which was introduced in ES6.

**Options Compared**

Two options are compared:

1. **Array.prototype.slice()**: This method creates a new array containing the specified elements, starting from the beginning of the original array.
2. **Spread Operator (`...`)**: This operator creates a new array by spreading the elements of the original array.

**Pros and Cons of Each Approach**

Here are some pros and cons of each approach:

1. **Array.prototype.slice()**:
	* Pros:
		+ Fast and efficient, as it only requires accessing the elements in the original array.
		+ Can be more readable for developers who prefer a more traditional array manipulation style.
	* Cons:
		+ Creates a new array, which can lead to increased memory usage.
2. **Spread Operator (`...`)**:
	* Pros:
		+ More concise and expressive than using `Array.prototype.slice()`.
		+ Can be faster for small arrays, as it avoids creating an intermediate array.
	* Cons:
		+ May be slower for large arrays due to the overhead of creating a new array.
		+ Can lead to unexpected behavior if not used carefully (e.g., when dealing with null or undefined values).

**Other Alternatives**

Some alternative approaches could be explored, such as:

1. **Using `Array.from()`**: This method creates a new array from an iterable, which can be faster than using the spread operator for large arrays.
2. **Implementing a custom slicing function**: This approach allows developers to optimize their code for specific use cases or performance requirements.

Overall, the choice between `Array.prototype.slice()` and the spread operator depends on the specific use case, performance requirements, and personal preference.

Related benchmarks:

Array.prototype.slice vs spread operator (forked) (version: 0)

Compare the new ES6 spread operator with the traditional slice() method

Comparing performance of: Array.prototype.slice vs spread operator

Created: 6 years ago by: Guest

Jump to the latest result

Array.prototype.slice

spread operator

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):