Benchmark: spread v splice - MeasureThat.net

Script Preparation code:

var testArray = [83, 93, 27, 29, 2828, 234, 23, 56, 32, 56, 67, 77, 32, 45, 93, 17, 28, 83, 62, 99, 36, 28, 93, 27, 29, 2828, 234, 23, 56, 32, 56, 67, 77, 32, 45, 93, 17, 28, 83, 62, 99, 36, 28, 93, 27, 29, 2828, 234, 23, 56, 32, 56, 67, 77, 32, 45, 93, 17, 28, 83, 62, 99, 36, 28, 93, 27, 29, 2828, 234, 23, 56, 32, 56, 67, 77, 32, 45, 93, 17, 28, 83, 62, 99, 36, 28, 93, 27, 29, 2828, 234, 23, 56, 32, 56, 67, 77, 32, 45, 93, 17, 28, 83, 62, 99, 36, 28, 93, 27, 29, 2828, 234, 23, 56, 32, 56, 67, 77, 32, 45, 93, 17, 28, 83, 62, 99, 36, 28, 93, 27, 29, 2828, 234, 23, 56, 32, 56, 67, 77, 32, 45, 93, 17, 28, 83, 62, 99, 36, 28, 93, 27, 29, 2828, 234, 23, 56, 32, 56, 67, 77, 32, 45, 93, 17, 28, 83, 62, 99, 36, 28, 93, 27, 29, 2828, 234, 23, 56, 32, 56, 67, 77, 32, 45, 93, 17, 28, 83, 62, 99, 36, 28, 93, 27, 29, 2828, 234, 23, 56, 32, 56, 67, 77, 32, 45, 93, 17, 28, 83, 62, 99, 36, 28];

function getRandomInt(min, max) {
    min = Math.ceil(min);
    max = Math.floor(max);
    return Math.floor(Math.random() * (max - min) + min); //The maximum is exclusive and the minimum is inclusive
}

Tests:

spread
const indexToRemove = getRandomInt(0, testArray.length) const newArr = [ ...testArray.slice(0, indexToRemove), ...testArray.slice(indexToRemove + 1) ]
splice
const indexToRemove = getRandomInt(0, testArray.length) const arrCopy = [...testArray] arrCopy.splice(indexToRemove, 1)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
spread
splice

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 its test cases.

**Benchmark Overview**

The benchmark measures the performance of two ways to remove an element from an array: using `Array.prototype.splice()` (referred to as "splice") and using the spread operator (`...`) to create a new array with the elements before and after the one to be removed (referred to as "spread").

**Options Compared**

The benchmark compares the performance of:

1. **Splice**: Using `Array.prototype.splice()` to remove an element from the array.
2. **Spread**: Using the spread operator (`...`) to create a new array with the elements before and after the one to be removed.

**Pros and Cons**

* **Splice**:
	+ Pros: Simple, widely supported, and efficient for small arrays.
	+ Cons: Can be slower than the spread operator for large arrays due to its indexing mechanism.
* **Spread**:
	+ Pros: Faster and more efficient for large arrays, as it avoids indexing and uses a simpler copying mechanism.
	+ Cons: Requires modern JavaScript features ( ECMAScript 2015+) and may not work in older browsers or environments.

**Library Usage**

None of the test cases use any external libraries.

**Special JS Features/Syntax**

* **Spread Operator**: Introduced in ECMAScript 2015+, the spread operator (`...`) is used to create a new array with elements from an existing array.
* **Array.prototype.splice()**: A built-in JavaScript method that removes elements from an array and returns them as a new array.

**Other Considerations**

The benchmark measures the performance of these two approaches in terms of executions per second, which indicates how many times each approach can be executed within a given time frame (e.g., 1 second).

**Alternatives**

If you're interested in exploring other methods for removing elements from an array, some alternatives include:

* **Array.prototype.filter()**: Removes elements that don't match a certain condition.
* **Array.prototype.map()**: Creates a new array with transformed elements.
* **Array.prototype.reduce()**: Accumulates values in an array.

Keep in mind that each approach has its own use cases and trade-offs, so it's essential to choose the right method depending on your specific requirements.

Related benchmarks:

spread v splice (version: 0)

remove single index

Comparing performance of: spread vs splice

Created: 5 years ago by: Guest

Jump to the latest result

spread

splice

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):