Benchmark: remove with splice vs filter

Tests:

splice
let array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 24, 26, 28, 27, 24, 23, 52, 45, 874, 56]; let value = array[Math.round(Math.random()*26)]; let index = array.indexOf(value); if(index !== -1) array.splice(index, 1);
filter
let array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 24, 26, 28, 27, 24, 23, 52, 45, 874, 56]; let val = array[Math.round(Math.random()*26)]; array = array.filter(value => value !== val)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
splice
filter

Fastest: N/A

Slowest: N/A

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 is being tested, compared, and their pros and cons.

**Benchmark Overview**

The benchmark measures the performance of two different approaches to remove an element from an array: using `splice` versus `filter`. The test case creates a large array with 52 elements and selects a random value from it. If the selected value exists in the array, it removes that element from the array.

**Approaches Compared**

1. **Splice**: This method modifies the original array by removing the specified element at the specified index.
2. **Filter**: This method creates a new array with all elements that do not match the provided function.

**Pros and Cons of Each Approach**

* **Splice**:
	+ Pros: Can be more efficient for large arrays since it only requires updating indices, whereas `filter` creates a new array.
	+ Cons: Modifies the original array, which can have unintended consequences if used in certain contexts. Also, can lead to performance issues if not done correctly due to caching and recompilation.
* **Filter**:
	+ Pros: Non-modifying, so it preserves the original array. Also, allows for more flexibility since the resulting array is a new object with no references to the original array.
	+ Cons: Creates a new array, which can lead to increased memory usage and slower performance due to copying elements.

**Library Used**

In this benchmark, neither `splice` nor `filter` uses any external libraries. They are built-in JavaScript methods.

**Special JS Features/Syntax**

None of the test cases use any special JavaScript features or syntax that would require additional explanation. The focus is solely on comparing the performance of these two array removal approaches.

**Other Alternatives**

If you were to implement a different approach for removing elements from an array, some alternatives could include:

* Using `map` and `concat`: Create a new array with all elements except the one to be removed.
* Using `reduce`: Accumulate the remaining elements into a single array.
* Using a custom function: Write a custom function that iterates through the array and removes elements using a different method.

However, in this specific benchmark, these alternatives are not being compared, so it's best to stick with the original `splice` and `filter` approaches.

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.183 Safari/537.36

Browser/OS: Chrome 86 on Linux

View result in a separate tab

Test name	Executions per second
splice	1242176.5 Ops/sec
filter	893464.4 Ops/sec

Related benchmarks:

remove with splice vs filter (version: 0)

Comparing performance of: splice vs filter

Created: 4 years ago by: Guest

Jump to the latest result

splice

filter

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):