Benchmark: concat vs spread vs push

Tests:

Array.prototype.concat
var params = [ "hello", true, 7 ]; var other = [ 1, 2 ].concat(params);
spread operator
var params = [ "hello", true, 7 ] var other = [ 1, 2, ...params ]
push
var params = [ "hello", true, 7 ]; Array.prototype.push.apply([ 1, 2 ], params);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.prototype.concat
spread operator
push

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Measuring performance differences between various approaches to concatenating or manipulating arrays in JavaScript.

Let's break down the provided benchmark definition and test cases:

1. **Benchmark Definition**: The benchmark is defined as an object with three properties:
	* `Name`: A descriptive name for the benchmark ("concat vs spread vs push").
	* `Description` (null): An optional description of the benchmark, which is not provided in this case.
	* `Script Preparation Code` (null) and `Html Preparation Code` (null): The code used to prepare the script and HTML for execution, respectively. In this case, they are empty.

2. **Individual Test Cases**: There are three test cases:
	* **Array.prototype.concat**:
		+ Benchmark Definition: "var params = [ \"hello\", true, 7 ];\r\nvar other = [ 1, 2 ].concat(params);"
		+ Test Name: "Array.prototype.concat" (indicating that this is a test of the `concat()` method on the Array prototype)
	* **Spread Operator**:
		+ Benchmark Definition: "var params = [ \"hello\", true, 7 ]\r\nvar other = [ 1, 2, ...params ];"
		+ Test Name: "spread operator" (indicating that this is a test of the spread operator syntax)
	* **push**:
		+ Benchmark Definition: "var params = [ \"hello\", true, 7 ];\r\nArray.prototype.push.apply([ 1, 2 ], params);"
		+ Test Name: "push" (indicating that this is a test of the `push()` method on the Array prototype)

Now, let's analyze each approach:

* **Array.prototype.concat()**: This method concatenates two or more arrays. It creates a new array and returns it.
Pros:
	+ Widely supported in modern browsers
Cons:
	+ Creates a new array, which can be inefficient for large datasets
	+ May not be the most efficient option when working with very large arrays

* **Spread Operator** (`...`): This syntax allows you to spread an array into another array.
Pros:
	+ Creates a shallow copy of the original array, preserving references
	+ Can be more efficient than `concat()` for large datasets
Cons:
	+ Requires modern browsers that support the spread operator (introduced in ECMAScript 2018)
	+ May not work as expected if the target array has sparse properties

* **Array.prototype.push()**: This method adds one or more elements to an array.
Pros:
	+ Can be used with arrays of any size
Cons:
	+ Creates a new array, which can be inefficient for large datasets
	+ May not be the most efficient option when working with very large arrays

The current benchmark results show that:

* The spread operator (`...`) is currently the fastest approach.
* `Array.prototype.concat()` is slightly slower than the spread operator but faster than `push()`.
* `push()` is the slowest of the three approaches.

Other alternatives to consider:

* Using `Object.assign()` or a library like Lodash's `concat` function
* Using a custom implementation that avoids creating new arrays or objects

Keep in mind that the performance differences between these approaches can be significant, especially for large datasets. The choice of approach ultimately depends on your specific use case and requirements.

Related benchmarks:

concat vs spread vs push (version: 0)

Comparing performance of: Array.prototype.concat vs spread operator vs push

Created: 6 years ago by: Guest

Jump to the latest result

Array.prototype.concat

spread operator

push

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):