Benchmark: array last element big data

Script Preparation code:

var arr = Array(100000).fill(1);

Tests:

slice + index
var res = arr.slice(-1)[0];
array length
var res = arr[arr.length - 1];
destructure
var { [[arr.length - 1]]: res } = arr;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
slice + index
array length
destructure

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.77 Safari/537.36

Browser/OS: Chrome 91 on Linux

View result in a separate tab

Test name	Executions per second
slice + index	10291361.0 Ops/sec
array length	9446614.0 Ops/sec
destructure	3480167.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark definition is provided in JSON format, which includes:

1. **Script Preparation Code**: This code is executed before running the actual benchmark. In this case, it creates an array `arr` with 100,000 elements, all filled with the value `1`. This setup is likely used to ensure that the benchmark measures performance on a large dataset.
2. **Html Preparation Code**: There is no HTML preparation code provided, which means that the benchmark doesn't rely on any specific HTML structure or layout.
3. **Name** and **Description**: These fields are empty, but they can be useful for identifying and describing the benchmark.

**Individual Test Cases**

The individual test cases are defined as an array of objects, each containing:

1. **Benchmark Definition**: This is a JavaScript expression that measures performance. In this case, there are three test cases:
	* `slice + index`: Measures the time it takes to access the last element of the array using `arr.slice(-1)[0]`.
	* `array length`: Measures the time it takes to access the last element of the array by storing its length in a variable and using that to index into the array (`arr[arr.length - 1]`).
	* `destructure`: Measures the time it takes to destructure the array using destructuring syntax (`var { [[arr.length - 1]]: res } = arr;`).

**Library Usage**

None of the benchmark definitions explicitly use any external libraries.

**Special JavaScript Features or Syntax**

Two special features/syntax are used:

1. **Destructuring**: The `destructure` test case uses destructuring syntax, which is a feature introduced in ECMAScript 2015 (ES6). This allows for concise and expressive code to extract values from objects.
2. **Template literals**: Although not explicitly mentioned, the use of backticks (`) around the array length expression in the `array length` test case could be considered as using template literals, which are another feature introduced in ES6.

**Pros and Cons**

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

1. **slice + index**: Pros: concise and simple to implement. Cons:
	* May involve additional overhead due to string concatenation or array slicing.
2. **array length**: Pros: avoids potential issues with indexing, as it uses the stored length value directly. Cons:
	* Requires storing the array's length in a variable, which may incur additional memory allocation and deallocation overhead.
3. **destructure**: Pros: concise and expressive, eliminates the need for explicit indexing or slicing. Cons:
	* May have performance implications due to the use of object creation and destructuring.

**Other Alternatives**

If you were looking to rewrite this benchmark or explore alternative approaches, here are a few options:

1. Use `arr.at(-1)` instead of `arr.slice(-1)[0]`, which is a more modern and concise way to access the last element of an array in modern browsers.
2. Consider using `Array.prototype.reduce()` to combine multiple operations into a single call, potentially reducing overhead.
3. Experiment with different data structures, such as linked lists or sets, to see how they impact performance.

Keep in mind that these alternatives may require modifications to the script preparation code and individual test cases.

Related benchmarks:

array last element big data (version: 2)

Comparing performance of: slice + index vs array length vs destructure

Created: 4 years ago by: Registered User

Jump to the latest result

slice + index

array length

destructure

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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