Benchmark: filter vs splice index

Tests:

Filter
let array = [1,2,3,4,5,6,7,8] const ignore = [2,4,7] array = array.filter(item => !ignore.includes(item)); console.log(array);
Splice
let array = [1,2,3,4,5,6,7,8] const ignore = [2,4,7] for(i = 0; i < array.length; i++) { if(ignore.includes(array[i])) { array.splice(i,1); i--; } } console.log(array);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Filter
Splice

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

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

**Benchmark Description**

The benchmark is designed to compare the performance of two approaches for deleting elements from an array:

1. `filter` method
2. `splice` method with manual index management

**Options Being Compared**

* `filter`: uses the `Array.prototype.filter()` method to create a new array with only the elements that pass the test implemented by the provided function.
* `splice`: uses the `Array.prototype.splice()` method to remove elements from the original array, but manually manages the indices to avoid shifting the remaining elements.

**Pros and Cons**

* `filter`:
	+ Pros: concise, easy to read, and maintainable code. Creates a new array with filtered elements, leaving the original array unchanged.
	+ Cons: may create unnecessary memory allocation for large arrays, potentially impacting performance.
* `splice`:
	+ Pros: modifies the original array in-place, which can be beneficial for large datasets or performance-critical applications.
	+ Cons: requires manual index management to avoid shifting elements, making the code more complex and harder to maintain.

**Library Used**

None explicitly mentioned. However, `Array.prototype.filter()` and `Array.prototype.splice()` are built-in JavaScript methods that do not require any additional libraries.

**Special JS Features/Syntax**

No special features or syntax are used in this benchmark. The tests focus on the performance comparison of the two approaches.

**Other Alternatives**

* For deleting elements from an array, other approaches include:
	+ Using `map()` to create a new array with only the desired elements.
	+ Using `forEach()` to iterate over the array and perform actions on each element.
	+ Using `reduce()` to accumulate elements in a new array or perform aggregate operations.

In general, the choice of approach depends on the specific use case, performance requirements, and personal preference.

Latest run results:

Run details: (Test run date: 2 days ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Windows

View result in a separate tab

Test name	Executions per second
Filter	381745.4 Ops/sec
Splice	357500.9 Ops/sec

Related benchmarks:

filter vs splice index (version: 0)

See if filter is faster than splice method for deletion

Comparing performance of: Filter vs Splice

Created: 3 years ago by: Guest

Jump to the latest result

Filter

Splice

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):