Benchmark: Test remove from array

Script Preparation code:

const testArray = Array.from({ length: 10000 }, (_, i) => i)

window.testArray = testArray

Tests:

1
window.testArray = window.testArray.filter(elem => elem !== 9000);
2
const index = window.testArray.findIndex(elem => elem === 9000) window.testArray.splice(index, 1)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1
2

Fastest: N/A

Slowest: N/A

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

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Let's break down what's being tested in the provided JSON benchmark.

**Script Preparation Code**
The script preparation code creates an array `testArray` with 10,000 elements, where each element is its index from 0 to 9,999. This array is then assigned to the global variable `window.testArray`.

**Benchmark Definitions**
There are two individual test cases:

1. **Test Case 1**: Removes all occurrences of the number 9000 from the `testArray` using the `filter()` method.
2. **Test Case 2**: Finds the index of the first occurrence of 9000 in the `testArray` using the `findIndex()` method, and then removes it using the `splice()` method.

**Options Compared**
The two test cases compare different approaches to remove an element from the array:

* **Test Case 1** uses `filter()`, which creates a new array with all elements that pass the provided condition (in this case, not equal to 9000). This approach has the advantage of being efficient and predictable, but it also creates a new array, which can be memory-intensive for large datasets.
* **Test Case 2** uses `findIndex()` followed by `splice()`, which finds the index of the element to remove and then removes it from the original array. This approach is more efficient than creating a new array, as it modifies the existing array in place.

**Pros and Cons**

* **Filter() (Test Case 1)**:
	+ Pros: Efficient, predictable, creates a new array with the desired result.
	+ Cons: Creates a new array, which can be memory-intensive for large datasets.
* **FindIndex() + Splice() (Test Case 2)**:
	+ Pros: More efficient than creating a new array, modifies the existing array in place.
	+ Cons: Less predictable than filter(), as it relies on the index being found and removed correctly.

**Library Usage**
None of the test cases explicitly use any libraries, but they do rely on built-in JavaScript methods like `filter()`, `findIndex()`, and `splice()`.

**Special JS Features or Syntax**
There are no special JavaScript features or syntax mentioned in this benchmark. However, it's worth noting that the use of `window.testArray` is not a standard JavaScript practice and may be specific to MeasureThat.net's framework.

**Other Alternatives**

* **Using `map()` instead of `filter()`**: Instead of creating a new array with `filter()`, you could use `map()` to create an array with all elements that pass the condition, but then remove the original array.
* **Using `slice()` instead of `splice()`**: Instead of removing an element from the end of the array using `splice()`, you could use `slice()` to create a new array with all elements except the one you want to remove.

Keep in mind that these alternatives may have different performance characteristics and might not be suitable for all scenarios.

Related benchmarks:

Test remove from array (version: 0)

Test remove from array

Comparing performance of: 1 vs 2

Created: 4 years ago by: Guest

Jump to the latest result

1

2

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):