Benchmark: Array concat vs spread operator vs push 2023-08-21

Tests:

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

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.

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

**Benchmark Definition**

The benchmark is defined by a JSON object that contains information about the test case. In this case, the benchmark compares three approaches:

1. **Array.prototype.concat**: A traditional method to concatenate arrays using the `concat()` function.
2. **Spread operator (`...`)**: The new ES6 spread operator, introduced in ECMAScript 2015, which allows for spreading elements of an array into a new array.
3. **`push()`**: The built-in `push()` method used to add elements to the end of an array.

**Options being compared**

The three options are compared to determine which one is the fastest. This benchmark aims to measure the performance difference between these three approaches, particularly in modern JavaScript engines like Firefox.

**Pros and Cons of each approach:**

1. **Array.prototype.concat**:
	* Pros: Widely supported, well-documented, and familiar to most developers.
	* Cons: Can be slower than other methods due to its iterative nature (i.e., creating a new array and then assigning it to the original array).
2. **Spread operator (`...`)**:
	* Pros: Modern and efficient, as it creates a new array without iterating over the original elements.
	* Cons: Only supported in modern browsers and JavaScript engines, which may exclude older systems or environments.
3. **`push()`**:
	* Pros: Fastest of all three options, as it modifies the existing array in-place.
	* Cons: May not be suitable for large arrays or performance-critical applications due to its side-effect nature.

**Library and purpose**

None are explicitly mentioned in this benchmark. However, if you're interested in other libraries that provide similar functionality, you might want to look into:

1. Lodash's `concat` function
2. Underscore.js's `concat` function

Keep in mind that these alternatives might not be as efficient or modern as the built-in `push()` method.

**Special JS features or syntax**

None are explicitly mentioned in this benchmark, but if you're interested in exploring other special features or syntax:

1. Promises
2. async/await
3. Arrow functions
4. Template literals

These features can be used to make code more concise and readable, but they might not affect performance directly.

**Other alternatives**

If you're looking for alternative approaches or libraries that provide similar functionality, consider the following options:

1. Immutable.js: A library that provides immutable data structures, including arrays.
2. Ramda: A functional programming library that includes array operations like `concat`.
3. Lo-Dash: A modern alternative to Lodash, with optimized performance.

Keep in mind that these alternatives might not be as performant or widely supported as the built-in methods and libraries mentioned earlier.

I hope this explanation helps! Let me know if you have any further questions.

Related benchmarks:

Array concat vs spread operator vs push 2023-08-21 (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: 2 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):