Benchmark: Slice vs splice - MeasureThat.net

Script Preparation code:

var arrayOne = [1, 3, 5, 11, 13];
var index = arrayOne.indexOf(5);

Tests:

Splice
arrayOne.splice(index, 1);
Slice
[...arrayOne.slice(0, index), ...arrayOne.slice(index+1) ]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Splice
Slice

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks and explore what's being tested on MeasureThat.net.

**Benchmark Definition**
The benchmark definition is a JSON object that contains the test case code, which in this case involves manipulating an array using two different approaches: `splice` and `slice`. The code creates an array `arrayOne` with some initial values and then uses `indexOf` to find the index of the value 5. The test cases are:

1. `Splice`: This test case removes the element at the found index using `arrayOne.splice(index, 1)`.
2. `Slice`: This test case creates a new array that includes all elements before and after the found index using `[...arrayOne.slice(0, index), ...arrayOne.slice(index+1)]`.

**Options Compared**
The two options being compared are:

* **Splice**: Replaces an element at a specified position in the array. It's a more efficient way to remove or add elements to an array.
* **Slice**: Creates a shallow copy of a portion of an array. It's slower than `splice` but can be useful for creating new arrays.

**Pros and Cons**

* **Splice**
	+ Pros:
		- More efficient, as it modifies the original array in place.
		- Fewer function calls compared to slicing.
	+ Cons:
		- Can be less predictable, as the order of elements may change.
		- May not work correctly for sparse arrays or arrays with NaN values.
* **Slice**
	+ Pros:
		- More predictable and reliable, as it creates a new array copy.
		- Works well for sparse arrays and arrays with NaN values.
	+ Cons:
		- Less efficient, as it creates a new array copy.
		- May be slower due to the additional function call.

**Library Usage**
None of the test cases use any external libraries. The code is self-contained and only relies on built-in JavaScript features.

**Special JS Features or Syntax**
There are no special JS features or syntax used in this benchmark.

Now, let's talk about other alternatives:

* **Other approaches**: There are other methods to remove elements from an array, such as using a `filter` function with the `Array.prototype.filter()` method. However, these methods may not be as efficient as `splice` and `slice`.
* **Alternative slicing libraries**: While not used in this benchmark, there are specialized libraries like Lodash or Ramda that provide more efficient and predictable array manipulation functions.

Keep in mind that this benchmark is primarily focused on comparing the performance of `splice` and `slice`, making it a good example for understanding the trade-offs between these two methods.

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:109.0) Gecko/20100101 Firefox/113.0

Browser/OS: Firefox 113 on Mac OS X 10.15

View result in a separate tab

Test name	Executions per second
Splice	36081916.0 Ops/sec
Slice	10102203.0 Ops/sec

Related benchmarks:

Slice vs splice (version: 0)

Comparing performance of: Splice vs Slice

Created: 6 years ago by: Guest

Jump to the latest result

Splice

Slice

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):