Benchmark: slice vs filter more than 1000

Script Preparation code:

var test=Array.from({length: 6000},()=>Math.random())

Tests:

slice
[...test.slice(100,200)]
filter
test.filter((e,i)=> i>=100 && i<=200)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
slice
filter

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's break down what's being tested in this JavaScript microbenchmark.

**What is being tested?**

The provided JSON represents a benchmark test that compares the performance of two approaches: using `slice` and `filter` to extract a subset of elements from an array. Specifically, both tests aim to find all elements within the range 1000-2000 in the generated array.

**Options compared**

There are only two options being compared:

1. **Slice**: The `slice()` method extracts a specified number of elements from an array and returns them as a new array.
2. **Filter**: The `filter()` method creates a new array with all elements that pass a test implemented by a provided function.

**Pros and Cons**

* **Slice:**
	+ Pros:
		- More straightforward and efficient for small arrays or predictable data structures.
		- Less overhead due to the need to create a callback function for filtering.
	+ Cons:
		- Requires manual indexing, which can lead to errors if not done correctly.
		- Can be slower when dealing with large arrays due to the allocation of memory and copying elements.
* **Filter:**
	+ Pros:
		- More flexible and versatile, as it allows for more complex filtering logic.
		- Reduces manual indexing worries, as the callback function handles the logic.
	+ Cons:
		- Creates a new array with filtered elements, which can be slower and consume more memory for large arrays.
		- Requires a separate callback function, which can add overhead.

**Library and Purpose**

There is no specific library mentioned in this benchmark. However, `Array.prototype.slice()` and `Array.prototype.filter()` are built-in JavaScript methods that operate on arrays.

**Special JS feature or syntax**

There doesn't appear to be any special JavaScript features or syntax being used in this benchmark aside from using array methods (`slice` and `filter`). If you're interested in exploring other advanced topics, there's always room for that!

**Other alternatives**

If you'd like to explore alternative approaches, consider the following:

* **Reduce**: Instead of filtering or slicing, you could use `Array.prototype.reduce()` to accumulate elements within a certain range.
* **Map**: Another option is using `Array.prototype.map()` in combination with filtering logic (e.g., `map((x) => x >= 100 && x <= 200)`).
* **For loops**: You could also implement the same logic using traditional `for` loops, which might offer different performance characteristics.

Feel free to ask if you have any further questions or would like to discuss more!

Latest run results:

Run details: (Test run date: 14 days ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36 Edg/130.0.0.0

Browser/OS: Chrome 130 on Windows

View result in a separate tab

Test name	Executions per second
slice	1918445.6 Ops/sec
filter	22539.3 Ops/sec

Related benchmarks:

slice vs filter more than 1000 (version: 0)

slice vs filter more than 1000

Comparing performance of: slice vs filter

Created: 3 years ago by: Guest

Jump to the latest result

slice

filter

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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