Benchmark: splice vs filterssss

Tests:

splice
const myArray = ['asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd']; const newArray = myArray.splice(0, -1);
filter
const myArray = ['asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd', 'asd']; const arrayLength = myArray.length - 1; const newArray = myArray.filter((_, index) => index < arrayLength);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
splice
filter

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 provided benchmarking test cases.

**Benchmark Name and Description**
The benchmark is called "splice vs filterssss". The description is empty, but based on the script preparation code, it appears to compare the performance of two different methods: `splice` and `filter`.

**Script Preparation Code**
There are two individual test cases:

1. **splice**: This case creates an array with 8 'asd' elements and then uses the `splice` method to remove the last element.
2. **filter**: This case creates an array with 8 'asd' elements, calculates the length of the array minus one, and then uses the `filter` method to create a new array containing only the first `n-1` elements.

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

* **splice**: The built-in JavaScript method for removing and replacing elements in an array.
* **filter**: A built-in JavaScript method for creating a new array with elements that pass a test implemented by a provided function.

**Pros and Cons**

* **splice**: This approach is simple and straightforward. However, it can be slow for large arrays because it involves shifting all the remaining elements down to fill the gap.
* **filter**: This approach is generally faster than `splice` for large arrays because it avoids the overhead of shifting elements. However, it requires a separate calculation to determine the length of the array minus one.

**Other Considerations**

* The use of a library or external function is not applicable in this case, as both test cases only rely on built-in JavaScript methods.
* There are no special JS features or syntax used beyond what's required for the `splice` and `filter` methods.

**Alternative Approaches**
If you wanted to compare other approaches, some alternatives might include:

* Using a library like Lodash or Ramda for filtering and mapping arrays
* Comparing the performance of different data structures, such as arrays vs. linked lists
* Using parallel processing techniques to speed up execution times

In summary, this benchmark tests the relative performance of two built-in JavaScript methods: `splice` and `filter`. The choice of method depends on the specific use case and requirements.

Related benchmarks:

splice vs filterssss (version: 0)

Comparing performance of: splice vs filter

Created: 5 years ago by: Guest

Jump to the latest result

splice

filter

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):