Benchmark: list push vs splice 222

Script Preparation code:

l = 123;

Tests:

append
a = Array(l); a.push(3);
splice
a = Array(l); a.splice(-1,0,3);
reverse
a = Array(l); a.reverse().push(3); a.reverse();
concat
a = Array(l); a = [3].concat(a);
unshift
a = Array(l); a.unshift(3);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
append
splice
reverse
concat
unshift

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the provided JSON and explain what's being tested, the options compared, their pros and cons, and other considerations.

**Benchmark Definition**

The benchmark definition is a simple script that creates an array `a` with a length of 123 elements using the `Array(l)` constructor. Then, it performs different operations on this array: appending, splicing, reversing, concatenating, and unshifting.

**Options Compared**

The benchmark compares five different approaches to manipulate arrays:

1. **Append**: Using `push()` method.
2. **Splice**: Using `splice()` method to add an element at the beginning of the array.
3. **Reverse**: Reversing the array using `reverse()` method and then appending or splicing an element.
4. **Concat**: Creating a new array by concatenating `[3]` with the original array using the `concat()` method.
5. **Unshift**: Using `unshift()` method to add an element at the beginning of the array.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

* **Append**:
	+ Pros: Simple, efficient, and widely supported.
	+ Cons: Can be slower for large arrays due to the need to shift elements when inserting at the end.
* **Splice**:
	+ Pros: Allows for more flexibility in inserting elements at different positions.
	+ Cons: Can be slower than `push()` due to the need to perform indexing and shifting operations.
* **Reverse**: Reversing the array first can lead to better performance for some use cases, but it also incurs additional overhead.
* **Concat**: Creating a new array using `concat()` can be slower than modifying the existing array.
* **Unshift**:
	+ Pros: Fast and efficient when inserting at the beginning of the array.
	+ Cons: Less flexible than `splice()`.

**Library Used**

None of the libraries are explicitly mentioned in the benchmark definition. However, it's worth noting that modern JavaScript engines often have built-in optimizations for array operations, so using external libraries may not provide significant performance benefits.

**Special JS Feature or Syntax**

The benchmark uses a feature introduced in ECMAScript 2015 (ES6): template literals (`l = 123;`). This allows for more readable and efficient way of creating numbers. Additionally, the `let` keyword is used to declare variables, which is a new syntax introduced in ES6.

**Other Considerations**

* The benchmark uses a small array size (123 elements) for simplicity.
* Mobile Safari 15 is the only browser tested, so results may not be representative for other browsers or platforms.
* Execution counts are relatively low, suggesting that the benchmark might be running multiple iterations to achieve these numbers.
* There's no error handling or boundary checking in the benchmark definition.

**Alternatives**

If you want to explore alternative approaches, consider:

* Using `Array.from()` and `push()` instead of `push()`
* Implementing a custom array implementation for better performance
* Testing different indexing strategies (e.g., `splice()` vs. `unshift()`)
* Comparing the performance of other JavaScript engines or platforms

Keep in mind that the choice of alternatives will depend on your specific use case and requirements.

Related benchmarks:

list push vs splice 222 (version: 0)

Comparing performance of: append vs splice vs reverse vs concat vs unshift

Created: 3 years ago by: Guest

Jump to the latest result

append

splice

reverse

concat

unshift

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):