Benchmark: spread + splice vs slice + spread vs filter to remove one item at given index

Script Preparation code:

var users = [
	{ 'user': 'joey',  'age': 32 },
 	{ 'user': 'ross',    'age': 41 },
  	{ 'user': 'chandler', 'age': 39 },
    	{ 'user': 'chandler', 'age': 39 },
      	{ 'user': 'chandler', 'age': 39 },
    	{ 'user': 'chandler', 'age': 39 },
    	{ 'user': 'chandler', 'age': 39 },
    	{ 'user': 'chandler', 'age': 39 },
    	{ 'user': 'chandler', 'age': 39 },
    	{ 'user': 'chandler', 'age': 39 },

]

Tests:

Filter
const result = users.filter((item, index) => index !== 3);
Slice + spread
const result = [...users.slice(0, 3), ...users.slice(4)];
Spread + splice
const newArray = [...users]; newArray.splice(3,1); const result = newArray;
Slice + splice
const newArray = users.slice() newArray.splice(3,1); const result = newArray;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Filter
Slice + spread
Spread + splice
Slice + splice

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks!

The provided JSON represents a benchmark test that compares three different approaches to remove one item from an array:

1. **Filter**: Using the `filter()` method with a callback function that returns `false` for the desired index.
2. **Slice + spread**: Using the `slice()` method to create a new array slice, spreading it into a new array using the spread operator (`...`), and then removing one item from the original array by indexing into the new array.
3. **Spread + splice**: Creating a copy of the original array using the spread operator (`[...users]`), splicing out one item at the desired index, and assigning the result back to a variable.

**Options Compared:**

* Filter vs Slice + spread vs Spread + splice
* Performance differences between these approaches on different browsers and devices

**Pros and Cons of each approach:**

1. **Filter**:
	* Pros:
		+ Simple and concise syntax.
		+ Efficient, as it only iterates over the elements in the original array.
	* Cons:
		+ May not be suitable for large arrays, as it creates a new array with the filtered elements.
2. **Slice + spread**:
	* Pros:
		+ Allows for more control over the indexing process.
		+ Can be useful when working with large arrays or complex data structures.
	* Cons:
		+ Creates a new array slice, which can lead to performance overhead.
		+ Requires additional operations (spreading and indexing) to achieve the desired result.
3. **Spread + splice**:
	* Pros:
		+ Eliminates the need for creating an intermediate array or slicing the original array.
		+ Can be useful when working with large arrays or complex data structures.
	* Cons:
		+ Creates a copy of the original array, which can lead to performance overhead.
		+ Requires additional operations (splicing and indexing) to achieve the desired result.

**Library usage:**

None explicitly mentioned in this benchmark. However, the `slice()` method is a built-in JavaScript function that returns a new slice of an array or string.

**Special JS feature/syntax:**

* The spread operator (`...`) is used in all three approaches to create a new array or manipulate the existing one.
* Indexing into arrays (e.g., `users[3]`) is also used in the Slice + splice approach to remove an item from the original array.

**Alternative approaches:**

1. **map()**: Instead of filtering, slicing, and spreading, you could use the `map()` method to create a new array with the desired elements.
2. **reduce()**: Another alternative is to use the `reduce()` method to accumulate elements into an array while removing the ones that don't meet the condition.

Keep in mind that these alternatives might have different performance characteristics or require additional considerations, such as handling edge cases or maintaining data consistency.

The benchmark test provided by MeasureThat.net allows you to compare the performance of these approaches on various browsers and devices, which can be useful for optimizing code and ensuring better performance across different environments.

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:83.0) Gecko/20100101 Firefox/83.0

Browser/OS: Firefox 83 on Ubuntu

View result in a separate tab

Test name	Executions per second
Filter	7511829.0 Ops/sec
Slice + spread	2259508.2 Ops/sec
Spread + splice	1944201.4 Ops/sec
Slice + splice	5428791.5 Ops/sec

Related benchmarks:

spread + splice vs slice + spread vs filter to remove one item at given index (version: 0)

Remove one item from array and return a new array with filter or slice and spread operator

Comparing performance of: Filter vs Slice + spread vs Spread + splice vs Slice + splice

Created: 3 years ago by: Guest

Jump to the latest result

Filter

Slice + spread

Spread + splice

Slice + splice

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):