Benchmark: slice VS splice VS pop for fixed size list of objects

Script Preparation code:

var list = [];
for (let i = 0; i < 1000; i++) {
  list.push({'s':'usd', 'p':i});
}

Tests:

slice
list.unshift({'s':'cad', 'p':13}) list.unshift({'s':'cad', 'p':14}) list.unshift({'s':'cad', 'p':15}) if(list.length>1000){ list=list.slice(0, 1000) }
splice
list.unshift({'s':'cad', 'p':13}) list.unshift({'s':'cad', 'p':14}) list.unshift({'s':'cad', 'p':15}) if(list.length>1000){ list.splice(1000, list.length); }
pop-while
list.unshift({'s':'cad', 'p':13}) list.unshift({'s':'cad', 'p':14}) list.unshift({'s':'cad', 'p':15}) while(list.length>1000){ list.pop(); }
pop-for
list.unshift({'s':'cad', 'p':13}) list.unshift({'s':'cad', 'p':14}) list.unshift({'s':'cad', 'p':15}) for(let i=998; i<list.length; i++){ list.pop(); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
slice
splice
pop-while
pop-for

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:128.0) Gecko/20100101 Firefox/128.0

Browser/OS: Firefox 128 on Linux

View result in a separate tab

splice

946K/s

pop-while

820K/s

pop-for

725K/s

slice

91K/s

View exact numbers

Test name	Executions per second
✓ splice	946,468 Ops/sec
pop-while	819,673 Ops/sec
pop-for	724,586 Ops/sec
slice	91,185 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and test cases to understand what is being tested.

**Benchmark Definition:**

The benchmark measures the performance of three different approaches for adding or removing elements from an array with a fixed size:

1. `list.unshift()`: adds new elements to the beginning of the array
2. `list.splice()`: removes elements from the specified index and returns them as an array
3. `list.pop()` (combined with `while` loop) or `list.pop()` (combined with `for` loop): removes elements from the end of the array

**Script Preparation Code:**

The script creates a fixed-size array (`list`) with 1000 objects, each containing two properties: `'s'` and `'p'`.

**Html Preparation Code:**

There is no HTML preparation code provided.

**Test Cases:**

Each test case consists of:

1. A `Benchmark Definition`: the JavaScript code that performs the operation to be measured (e.g., `list.unshift({'s':'cad', 'p':13})`)
2. A `Test Name`: a descriptive name for the test case

The four test cases are:

1. **`slice`**: adds three new elements to the beginning of the array and then trims the array to 1000 elements if it exceeds that size.
2. **`splice`**: adds three new elements to the beginning of the array and then removes all remaining elements from the index 1000 to the end of the array.
3. **`pop-while`**: repeatedly removes elements from the end of the array until the length is less than or equal to 1000.
4. **`pop-for`**: uses a `for` loop to pop elements from the end of the array until the length is less than or equal to 1000.

**Pros and Cons:**

1. `list.unshift()`: efficient for adding new elements, but may require more memory reallocation and copying.
	* Pros: fast and simple
	* Cons: can lead to memory fragmentation and performance issues with large arrays.
2. `list.splice()`: removes elements from the specified index and returns them as an array, which can be useful for removing multiple elements at once.
	* Pros: can remove multiple elements in a single operation
	* Cons: can be slower than `unshift()` for small numbers of elements added or removed.
3. `list.pop()` (combined with `while` loop): efficient for removing elements from the end of the array, but may cause performance issues if not optimized properly.
	* Pros: fast and simple
	* Cons: can lead to performance issues if not optimized properly (e.g., using `while` instead of `for`).
4. `list.pop()` (combined with `for` loop): similar to `pop-while`, but uses a `for` loop which might be more readable and maintainable.
	* Pros: readable and maintainable
	* Cons: may not be as efficient as `pop-while`.

**Library Usage:**

There is no explicit library usage mentioned in the benchmark definition.

**Special JS Features or Syntax:**

None are explicitly mentioned, but some test cases use JavaScript features that might require specific implementations (e.g., `let` and `const` declarations).

**Alternatives:**

For this type of benchmark, other alternatives could include:

1. Using a different data structure, such as an array with fixed length or a linked list.
2. Measuring the performance of different libraries for manipulating arrays, such as `lodash` or `ramda`.
3. Comparing the performance of different JavaScript engines or runtimes.

Keep in mind that this benchmark is designed to test specific aspects of JavaScript array manipulation, and modifying it could affect its relevance and accuracy.

slice VS splice VS pop for fixed size list of objects (version: 0) Benchmark.js

Comparing performance of: `slice vs splice vs pop-while vs pop-for`

Created: 6 years ago by: Guest

Go to the latest result

slice

splice

pop-while

pop-for

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

slice VS splice VS pop for fixed size list of objects (version: 0) Benchmark.js

Comparing performance of: slice vs splice vs pop-while vs pop-for

Created: 6 years ago by: Guest

Go to the latest result

slice

splice

pop-while

pop-for

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Comparing performance of: `slice vs splice vs pop-while vs pop-for`