Benchmark: splice vs filter array

Script Preparation code:

var test=Array.from({length: 100},()=>Math.random())

Tests:

slice
test.splice(50,1)
filter
test.filter((e,i)=>i!=50)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
slice
filter

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36

Browser/OS: Chrome 113 on Linux

View result in a separate tab

Test name	Executions per second
slice	4992155.0 Ops/sec
filter	1520760.9 Ops/sec

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

LLMs can make mistakes. Check important info.

I'd be happy to help explain the provided benchmark definition and test cases.

**What is tested:**

The benchmark tests the performance difference between two JavaScript methods for removing elements from an array: `splice` and `filter`. The arrays are generated using `Array.from()` and filled with random numbers, ensuring that the results are not influenced by specific values or patterns.

**Options compared:**

Two options are compared:

1. **`splice(50, 1)`**: This method removes the element at index 50 from the array.
2. **`filter((e, i) => i != 50)`**: This method creates a new array containing only the elements that do not match the condition `i != 50`, effectively removing the element at index 50.

**Pros and cons of each approach:**

1. **`splice`**:
	* Pros: Efficient in terms of memory usage, as it modifies the original array.
	* Cons: Modifies the original array, which might be undesirable for certain use cases (e.g., when preserving the original array's state).
2. **`filter`**:
	* Pros: Preserves the original array, making it suitable for scenarios where the original data needs to remain intact.
	* Cons: Creates a new array, potentially leading to increased memory usage.

**Library and purpose:**

In this benchmark, `Array.from()` is used to generate an array of random numbers. This library is a modern JavaScript method that creates a new array populated with elements from an iterable (in this case, a function).

**Special JS feature or syntax:**

The `filter` method uses the arrow function syntax (`(e, i) => i != 50`). Arrow functions are a concise way to define small, single-expression functions in JavaScript. They were introduced in ECMAScript 2015 and have since become a popular choice for simple function definitions.

**Other alternatives:**

If you're looking for alternative approaches to remove elements from an array:

* **`map()`**: While not suitable for removing elements, `map()` can be used with the `every()` method to filter out unwanted values.
* **`reduce()`**: This method can also be used to filter elements, but it's typically more complex and less efficient than `filter`.
* **`forEach()`**: Not recommended for large datasets or performance-critical scenarios, as it's generally slower and less memory-efficient than `filter`.

For removing elements from an array specifically:

* **`splice()`**: As mentioned earlier, this method is efficient in terms of memory usage but modifies the original array.
* **`slice()`**: Similar to `splice()`, but creates a shallow copy of the array slice.
* **`Array.prototype.remove()`**: A modern alternative to `splice()`, which creates a new array with the removed element.

In summary, the benchmark compares the performance of two methods for removing elements from an array: `splice` and `filter`. The choice between these approaches depends on your specific use case requirements, such as preserving the original array's state or minimizing memory usage.

Related benchmarks:

splice vs filter array (version: 0)

Comparing performance of: slice vs filter

Created: one year ago by: Registered User

Jump to the latest result

slice

filter

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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