Benchmark: Array add methods comparison for, push, append

Tests:

Array.prototype.concat
var params = Array.from(Array(50000)).keys(); var emptyArray = [] var other = emptyArray.concat(params);
for push
var params = Array.from(Array(50000)).keys(); var emptyArray = [] for (const element of params) { emptyArray.push(element) }
Push
var params = Array.from(Array(50000)).keys(); var emptyArray = [] emptyArray.push(...params);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.prototype.concat
for push
Push

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's break down what's being tested in this benchmark.

The benchmark is comparing the performance of three different ways to add elements to an array: using the `concat()` method, a traditional `for` loop with `push()`, and the new spread operator (`...`). This allows users to see how each approach scales and compares performance on modern browsers.

Here's what options are being compared:

*   **`Array.prototype.concat()`**: This is a built-in array method that concatenates one or more arrays. It creates a new array and copies elements from the original array into it.
*   **Traditional `for` loop with `push()`**: This approach uses an index variable to iterate over the array's length, and then uses `push()` to add each element to the end of the array.
*   **New spread operator (`...`)**: The new spread operator allows you to expand an iterable (such as an array) into a new array.

**Pros and cons:**

1.  **`Array.prototype.concat()`**:
    *   **Pros:** Easy to read, widely supported across browsers, and doesn't require explicit loops.
    *   **Cons:** Creates a new array, can be slower for large datasets, and may not be as efficient for modern JavaScript engines.
2.  **Traditional `for` loop with `push()`**:
    *   **Pros:** Can be faster than `concat()`, especially for smaller arrays, since it avoids the overhead of creating a new array.
    *   **Cons:** Requires explicit loops and manual index management, which can increase code complexity.
3.  **New spread operator (`...`)**:
    *   **Pros:** Concise, readable, and efficient for modern JavaScript engines. It creates a new array but is often faster than `concat()` or traditional `for` loops.
    *   **Cons:** May not be supported in older browsers (though this can usually be handled with polyfills), and its performance advantages may vary depending on the specific use case.

**Libraries:**

None of these options rely on external libraries, making them suitable for various JavaScript projects. However, if you prefer a more functional programming approach or want to explore modern array methods in detail, you might consider using a library like Lodash or Ramda, which provide an extensive range of utility functions, including those related to arrays.

**Special JS features or syntax:**

There are no specific special features or syntax mentioned here that require additional explanation. The examples provided use standard JavaScript constructs and the new spread operator is the only innovative feature being tested.

Now let's talk about other alternatives:

Other approaches you might consider testing in your benchmark include:

*   Using `Array.prototype.fill()` instead of `push()`
*   Comparing the performance of different data structures, such as arrays versus linked lists
*   Evaluating the impact of various optimization techniques on array operations (e.g., caching results, reducing allocations)
*   Exploring browser-specific features, like WebAssembly or modern ES modules

Feel free to ask me any follow-up questions!

Related benchmarks:

Array add methods comparison for, push, append (version: 0)

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

Comparing performance of: Array.prototype.concat vs for push vs Push

Created: 2 years ago by: Guest

Jump to the latest result

Array.prototype.concat

for push

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):