Benchmark: Push vs Map mastermind

Script Preparation code:

var strs = Array.from(new Array(100)).map(() => ({a: 2, b: 10}))
var result = []

Tests:

Push
for (let i = 0; i < strs.length; i++) { result.push(strs[i]) }
Join
result = strs.map((a) => a)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Push
Join

Fastest: N/A

Slowest: N/A

Latest run results:

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

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I'll break down the provided benchmark and explain what's being tested, compared, and their pros and cons.

**Benchmark Overview**

The provided benchmark compares two approaches to perform an array operation: using `push()` (Method 1) versus using `map()` (Method 2). The test case is run on a fixed dataset of 100 objects with specific properties (`a` and `b`) in each object.

**Test Case Explanation**

1. **Push Method (Method 1)**:

```javascript
for (let i = 0; i < strs.length; i++) {
    result.push(strs[i]);
}
```

This method iterates through the array using a traditional `for` loop and appends each element to the `result` array using the `push()` method. The operation involves:

* Creating an array of objects (`strs`) with specific properties
* Iterating through the array
* Pushing each object onto the `result` array

Pros:

* Can be used in situations where direct access to the array is required
* Allows for manual control over iteration and indexing

Cons:

* Can lead to performance issues if not optimized, especially when dealing with large datasets
* May involve unnecessary copies of the original data (if not using a `push()`-specific optimization)

2. **Map Method (Method 2)**:

```javascript
result = strs.map((a) => a);
```

This method uses the `map()` function to create a new array by applying an anonymous function to each element in the input array (`strs`). The operation involves:

* Creating an array of objects (`strs`) with specific properties
* Applying an anonymous function to each element, returning the unchanged object

Pros:

* Efficiently creates a new array without modifying the original data
* Can be faster than traditional `push()` methods for large datasets

Cons:

* May require additional memory allocation and copying if not used carefully
* Does not provide direct access to individual elements of the original array

**Library and Special JS Features**

There is no library explicitly mentioned in the benchmark, but it's worth noting that `map()` is a built-in JavaScript method.

**Browser and Device Specificity**

The benchmark uses a specific browser (Chrome 117) on a desktop platform with Windows operating system. The result indicates that Chrome 117 performs better for the `map()` method.

**Other Alternatives**

When working with large datasets or performance-critical code, you may want to consider alternative approaches:

* **Array methods**: Other array methods like `forEach()`, `reduce()`, and `filter()` can provide similar functionality. However, their performance and memory usage might vary compared to `push()` and `map()`.
* **Native WebAssembly (WASM)**: WASM provides a more efficient way to perform certain operations, especially those involving large arrays. However, it requires additional setup and support.
* **Specialized libraries**: Libraries like Lodash or Ramda provide optimized functions for common tasks, but they might add overhead depending on the specific use case.

Keep in mind that the performance difference between these approaches can be significant, and choosing the right method depends on your specific requirements, dataset size, and system constraints.

Related benchmarks:

Push vs Map mastermind (version: 0)

Comparing performance of: Push vs Join

Created: 2 years ago by: Guest

Jump to the latest result

Push

Join

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):