Benchmark: map vs for loop (for arrays includes 35k) REACT

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/react/16.3.0/cjs/react.production.min.js'></script>

Script Preparation code:

var a = [];
for (var i = 0; i < 35000; i++) {
  a[i] = {id: Math.random(), name: 'no_name' + 1, price: Math.floor(Math.random() * 50000) + 1 };
}

Tests:

map
var b = []; a.map(n => b.push(n)); return b;
for loop
var b = []; for (var i = 0; i < a.length; i++) { b[i] = a[i]; } return b;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
map
for loop

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's dive into the provided JSON and explain what's being tested.

**Benchmark Overview**

The benchmark compares two approaches for iterating over an array: `map()` and traditional `for` loops. The test creates an array of 35,000 objects with random properties and measures how long it takes to iterate over the array using both methods.

**Library Used**

In this benchmark, the React library is included in the HTML preparation code (`<script src='https://cdnjs.cloudflare.com/ajax/libs/react/16.3.0/cjs/react.production.min.js'></script>`). However, neither `map()` nor `for` loop iterations use React directly; they're simply iterating over an array.

**Special JavaScript Features**

There's no explicit special JavaScript feature or syntax being tested in this benchmark. It's a straightforward comparison of two common iteration methods.

**Options Compared**

The benchmark compares the following options:

1. **Map()**: The `map()` method is called on the array, which creates a new array with the results of applying the provided function to each element.
2. **Traditional For Loop**: A traditional `for` loop is used to iterate over the array, where each iteration assigns the current element to an array variable.

**Pros and Cons of Each Approach**

Here are some pros and cons for each approach:

1. **Map()**:
	* Pros: Efficient and concise way to create a new array with transformed data.
	* Cons: Creates a new array object and may not be suitable for situations where memory allocation is a concern.
2. **Traditional For Loop**:
	* Pros: More control over iteration and can be faster in some cases due to reduced overhead from creating an intermediate array.
	* Cons: Can be more verbose and less concise than `map()`.

**Other Considerations**

When deciding between `map()` and traditional `for` loops, consider the following:

* When working with large datasets or performance-critical code, `map()` might be a better choice due to its potential efficiency benefits.
* In situations where memory allocation is a concern, traditional `for` loops might be preferable.

**Alternative Approaches**

If you're looking for alternative approaches, some options include:

1. **Array.prototype.forEach()**: A more modern and concise way to iterate over an array without creating a new array or modifying the original.
2. **Async Iterators**: For working with large datasets or performance-critical code, async iterators can provide a high-performance alternative to traditional `for` loops.

Keep in mind that these alternatives might not be directly comparable to `map()` and traditional `for` loops, as they often involve different iteration mechanisms or require additional setup.

Related benchmarks:

map vs for loop (for arrays includes 35k) REACT (version: 0)

compare map vs for loop methods

Comparing performance of: map vs for loop

Created: 2 years ago by: Guest

Jump to the latest result

map

for loop

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):