Benchmark: remove item - MeasureThat.net

Script Preparation code:


var arr = [{
    a: "a"
}, {
    b: "b"
}, {
    c: "c"
}, {
    d: "d"
}, {
    e: "e"
}, {
    a: "a"
}, {
    b: "b"
}, {
    c: "c"
}, {
    d: "d"
}];

Tests:

splice
arr.splice(3, 1);
filter
arr = arr.filter((item,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.

Measuring the performance of JavaScript code is crucial for optimizing and benchmarking applications. MeasuringThat.net provides a platform to create and run JavaScript microbenchmarks, allowing users to compare different approaches to achieve optimal performance.

The provided JSON represents a benchmark definition with two test cases: "remove item" and two individual test cases "splice" and "filter". Let's break down what's being tested:

**Benchmark Definition**

The benchmark definition is the setup for the tests. In this case, it defines an array `arr` with 10 elements, including duplicates.

**Options Compared**

The options being compared are different approaches to remove a duplicate item from the array:

1. **splice(3, 1)**: This approach removes the element at index 3 (0-indexed) from the array.
2. **arr.filter((item, i) => i !== 3)**: This approach uses the `filter()` method with a callback function that checks if the index `i` is not equal to 3.

**Pros and Cons of Each Approach**

1. **splice(3, 1)**:
	* Pros: Efficient in terms of execution time, as it only requires iterating over a portion of the array.
	* Cons: Modifies the original array, which might be undesirable in some cases.
2. **arr.filter((item, i) => i !== 3)**:
	* Pros: Non-destructive, meaning the original array remains unchanged.
	* Cons: Requires creating a new array using `filter()`, which can be memory-intensive for large datasets.

**Library Usage**

None of the provided code uses any external libraries. However, if it did, it's likely that the `Array.prototype.filter()` method would be used to achieve the filtering effect.

**Special JS Features/Syntax**

The provided code doesn't use any special JavaScript features or syntax. It only relies on basic array manipulation and standard JavaScript functions like `splice()` and `filter()`.

**Other Alternatives**

If you're interested in exploring alternative approaches, here are a few:

1. **Array.prototype.map()**: Instead of using `splice()` or `filter()`, you could use `map()` to create a new array with the desired elements.
2. **Array.prototype.reduce()**: This approach would involve reducing the array to a single value that represents the removed item, but it's not as straightforward as the other two approaches.
3. **Using a library like Lodash**: If you're dealing with more complex filtering scenarios or need additional functionality, consider using a library like Lodash, which provides extensive support for array manipulation.

Keep in mind that when benchmarking JavaScript code, it's essential to consider factors beyond just execution time, such as memory usage and garbage collection overhead.

Related benchmarks:

remove item (version: 0)

Comparing performance of: splice vs filter

Created: 4 years ago by: Guest

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):