Benchmark: Options - MeasureThat.net

Script Preparation code:

var arr = {
    x: [{
        id: 1,
        label: "a",
        type: "x"
    }, {
        id: 2,
        label: "b",
        type: "x"
    }, {
        id: 3,
        label: "c",
        type: "x"
    }],
    y: [{
        id: 4,
        label: "d",
        type: "y"
    }, {
        id: 5,
        label: "e",
        type: "y"
    }, {
        id: 6,
        label: "f",
        type: "y"
    }],
    z: [{
        id: 7,
        label: "g"
    }]
};

Tests:

With splice
const option = {value:3, label:"c"}; const comparator = ({id}, index, array) => { if(id === option.value){ array.splice(index, 1); return true; } } const x = [...arr.x]; const y = [...arr.y]; const property = x.find(comparator) || y.find(comparator); const z = [...arr.z] z.push({ ...property, value: '', errorMessage: '' }); const obj = {x,y,z};
With filter
const option = {value:3, label:"c"}; const comparator = ({id}, index, array) => { if(id === option.value){ return true; } } const property = arr.x.find(comparator) || arr.y.find(comparator); const list = arr[property.type].filter(option => option.id !== property.id); const z = [...arr.z]; z.push({ ...property, value: '', errorMessage: '' }); const obj = {...arr, z, [property.type]: list};

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
With splice
With 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.

**What is being tested?**

The provided JSON represents a JavaScript benchmark test case on the MeasureThat.net website. The test case measures the performance of two different approaches for searching, filtering, and modifying an array of objects.

Specifically, the test case tests the following scenarios:

1. Searching for a specific object in an array using the `find()` method with a custom comparator function.
2. Filtering out objects from an array that match a certain condition (in this case, objects with a specific ID).

**Options compared:**

The two options being compared are:

1. **With splice**: This approach uses the `splice()` method to remove the found object from its original position in the array.
2. **With filter**: This approach uses the `filter()` method to create a new array with objects that do not match the specified ID.

**Pros and cons of each approach:**

1. **With splice**:
	* Pros:
		+ Can be faster since it modifies the original array in place, avoiding the need for a new array creation.
		+ May be more efficient when working with large arrays, as it avoids the overhead of creating a new array.
	* Cons:
		+ Can be less predictable, as modifying the original array can lead to unexpected behavior if not handled carefully.
		+ May cause issues if the modified array is used elsewhere in the code without proper handling.
2. **With filter**:
	* Pros:
		+ More predictable and safer, as it creates a new array with filtered objects without modifying the original array.
		+ Easier to reason about, as the resulting array is not affected by external modifications.
	* Cons:
		+ May be slower since it requires creating a new array, which can lead to increased memory usage.

**Library and its purpose:**

In both test cases, no specific library is required. However, some built-in JavaScript methods are used:

1. `find()`: Searches for the first element in an array that satisfies the provided testing function.
2. `filter()`: Creates a new array with all elements that satisfy the provided testing function.

**Special JS features or syntax:**

None of the test cases rely on any special JavaScript features or syntax, making them accessible to developers with varying levels of experience.

**Other alternatives:**

If you were to rewrite these tests for different scenarios or optimizations, consider the following alternatives:

1. **Using `indexOf()` instead of `find()`**: If the array is sorted or has a predictable order, using `indexOf()` could be faster than `find()`.
2. **Using a data structure like a `Set` or `Map`**: Depending on the specific use case, using a data structure like `Set` or `Map` might offer better performance for searching and filtering operations.
3. **Multithreading or parallel processing**: If performance is critical, consider exploring multithreading or parallel processing techniques to take advantage of multiple CPU cores.

Keep in mind that these alternatives may not be directly applicable to the specific use case described in this benchmark test.

Related benchmarks:

Options (version: 0)

Comparing performance of: With splice vs With filter

Created: 4 years ago by: Guest

Jump to the latest result

With splice

With 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):