Benchmark: [forked] append scalar value Array.prototype.concat vs spread operator vs push

Tests:

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

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

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

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**Overview**

The provided JSON represents a JavaScript microbenchmarking test created on MeasureThat.net. The benchmark compares the performance of three approaches for appending scalar values to an array: `Array.prototype.concat()`, the spread operator (`...`), and `push()`.

**Benchmark Definition**

The benchmark definition is specified in the top-level JSON object:

```json
"Name": "[forked] append scalar value Array.prototype.concat vs spread operator vs push"
```

This indicates that the benchmark is a fork of an existing test, modified to focus on appending scalar values to an array.

**Test Cases**

There are three individual test cases:

1. **`Array.prototype.concat`**: This test case uses the `concat()` method to append two scalar values (1 and 2) to an initial array (`params`) containing three elements: `"hello"`, `true`, and `7`.
```javascript
var params = [ "hello", true, 7 ];
params = params.concat([1]);
params = params.concat([2]);
```

2. **Spread Operator (`...`)**: This test case uses the spread operator to append two scalar values (1 and 2) to an initial array (`params`) containing three elements: `"hello"`, `true`, and `7`.
```javascript
var params = [ "hello", true, 7 ];
params = [...params, 1];
params = [...params, 2];
```

3. **`push()`**: This test case uses the `push()` method to append two scalar values (1 and 2) to an initial array (`params`) containing three elements: `"hello"`, `true`, and `7`.
```javascript
var params = [ "hello", true, 7 ];
params.push(1);
params.push(2);
```

**Library Usage**

None of the test cases use any external libraries.

**Special JS Features or Syntax**

The spread operator (`...`) is a new feature introduced in ECMAScript 2015 (ES6). It allows for creating a new array from an existing array or other iterable by simply adding `...` before it. This syntax was not available in earlier JavaScript versions.

**Pros and Cons of Each Approach**

1. **`Array.prototype.concat()`**:
	* Pros: Well-established method, easy to understand.
	* Cons: Creates a new array object, which can be inefficient for large datasets.
2. **Spread Operator (`...`)**:
	* Pros: Creates a shallow copy of the original array, avoiding unnecessary allocations.
	* Cons: Requires ECMAScript 2015 (ES6) support, may not work in older browsers or environments.
3. **`push()`**:
	* Pros: Modifies the existing array object, efficient for large datasets.
	* Cons: Does not create a new copy of the array, which can lead to unexpected behavior if mutated concurrently.

**Other Alternatives**

If you prefer using `Array.prototype.concat()` or `push()`, you could also consider using other methods, such as:

* Using `Array.prototype.slice()` followed by `concat()`: `params = [...params.slice(), 1, 2]`
* Using a library like Lodash's `concat` function: `params = _.concat(params, [1, 2])`

However, the spread operator (`...`) is generally considered the most efficient and convenient approach for appending scalar values to an array.

Related benchmarks:

[forked] append scalar value Array.prototype.concat vs spread operator vs push (version: 0)

Compare the new ES6 spread operator with the traditional concat() method and push

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):