Benchmark: filter vs splice 2

Tests:

splice
let data = [1,2,3,4,5]; data.splice(3,1);
filter
let data = [1,2,3,4,5]; data = data.filter((x, i) => i !== 3);

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):

LLMs can make mistakes. Check important info.

Let's dive into the explanation of the provided benchmark.

**What is being tested?**

MeasureThat.net is testing the performance difference between two approaches: `splice` and `filter`. The `splice` method modifies the original array by removing an element at a specified index, while the `filter` method creates a new array with elements that pass a test implemented by a provided function.

**Options being compared**

The benchmark compares the performance of these two methods:

1. **Splice**: Removes an element from the end of the array.
2. **Filter**: Creates a new array with elements that pass a test implemented by a provided function.

**Pros and Cons of each approach**

**Splice:**

Pros:

* Modifies the original array in-place, which can be more efficient for large datasets.
* Can be faster for small arrays since it only requires updating the indices of remaining elements.

Cons:

* Modifies the original array, which can be undesirable if the original data needs to remain intact.
* Can be slower for large arrays due to the need to update indices.

**Filter:**

Pros:

* Creates a new array without modifying the original one, which is safer and more predictable.
* Can handle large datasets efficiently since it only requires iterating over elements.

Cons:

* Requires creating a new array, which can be memory-intensive.
* May require more computational resources due to the creation of a new array.

**Other considerations**

Both methods have different use cases. `Splice` is often used when you need to remove an element from the end of an array, while `Filter` is typically used when you need to select elements based on some condition.

**Library and special JS feature**

Neither `splice` nor `filter` relies on a specific library or special JavaScript features beyond standard language support. However, if we consider modern optimizations, both methods may benefit from using more efficient data structures like arrays with sparse storage or advanced iteration mechanisms.

**Benchmark preparation code**

The provided benchmark preparation code is simple and straightforward:

```javascript
let data = [1,2,3,4,5];
data.splice(3,1);
// or
data = data.filter((x, i) => i !== 3);
```

These scripts create an array `data` with five elements and then apply the respective operation to it.

**Other alternatives**

If you need to remove elements from an array while preserving the original order of other elements, consider using `Array.prototype.slice()` with `filter()`, like this:

```javascript
let data = [1,2,3,4,5];
data = data.filter((x, i) => i !== 3).concat(data.slice(0,3));
```

This approach creates a new array with the elements that pass the filter and then appends the remaining elements using `slice()`.

If you're working with very large datasets and need to remove many elements while preserving performance, consider looking into specialized libraries or data structures optimized for these operations.

Related benchmarks:

filter vs splice 2 (version: 0)

Comparing performance of: splice vs filter

Created: 4 years ago by: Registered User

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):