Benchmark: speed of array splice and filter

Script Preparation code:

var arr1 = [], arr2 = [];
for(let i = 0 ;i < 100000;i++){
 arr1.push(i);
 arr2.push(i);
}

Tests:

test filter
const filterArr = arr1.filter(i => i != 8769);
test splice
const spliceArr = arr2.splice(1,8769);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
test filter
test splice

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition**

The benchmark definition is a JSON object that represents the test case. It provides information about the script preparation code, HTML preparation code (which is empty in this case), and the individual test cases.

In this specific benchmark, there are two test cases:

1. `test filter`: This test case filters an array using the `filter()` method.
2. `test splice`: This test case uses the `splice()` method to remove elements from an array.

**Options Compared**

The benchmark is comparing the performance of the following options:

* Filter(): removes all elements that do not match the provided condition (in this case, `i != 8769`)
* Splice(): removes a specified number of elements from the array starting at the given index (in this case, `splice(1, 8769)`)

**Pros and Cons**

Here's a brief analysis of the pros and cons of each approach:

* Filter():
	+ Pros: efficient, simple to implement, and easy to understand.
	+ Cons: may not be suitable for large datasets or complex filtering conditions.
* Splice():
	+ Pros: can modify the original array, which might be desirable in certain scenarios.
	+ Cons: can be slower than filter() due to the overhead of modifying the array.

**Library**

In this benchmark, there is no explicit library mentioned. However, it's likely that the `Array.prototype.filter()` and `Array.prototype.splice()` methods are being used, which are built-in JavaScript methods.

**Special JS Feature/Syntax**

There doesn't seem to be any special JavaScript feature or syntax used in these test cases. The code is straightforward and follows standard JavaScript conventions.

**Other Alternatives**

If you're interested in exploring alternative approaches for similar use cases, here are a few options:

* Using `reduce()` instead of `filter()`: This can be a more efficient approach for large datasets.
* Using a custom implementation for filtering or splicing: Depending on the specific requirements, it might be possible to create a custom implementation that outperforms the built-in methods.

**Benchmark Preparation Code**

The script preparation code creates two empty arrays (`arr1` and `arr2`) and populates them with 100,000 elements each. This is done using a simple loop that pushes each element onto the array.

```javascript
for (let i = 0; i < 100000; i++) {
    arr1.push(i);
    arr2.push(i);
}
```

**Individual Test Cases**

The test cases are defined as separate objects within the benchmark definition. Each object includes a `Benchmark Definition` property that specifies the code to execute, and a `Test Name` property that identifies the specific test case.

For example, the first test case (`test filter`) uses the `filter()` method with a callback function that checks if the current element is not equal to 8769:

```javascript
const filterArr = arr1.filter(i => i != 8769);
```

Similarly, the second test case (`test splice`) uses the `splice()` method to remove elements from the second array starting at index 1 and removing 8769 elements:

```javascript
const spliceArr = arr2.splice(1, 8769);
```

I hope this explanation helps you understand the benchmark and its options!

Related benchmarks:

speed of array splice and filter (version: 0)

Comparing performance of: test filter vs test splice

Created: 4 years ago by: Guest

Jump to the latest result

test filter

test splice

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):