Benchmark: Reduce vs simple assignment vs Object.fromEntries

Script Preparation code:

function createArray(propsCount) {
    const arr = []
    for (let i = 0; i < propsCount; i += 1) {
        arr.push({
            active: i % 5 === 0
        })
    }
    return arr
}

var users = createArray(1000)

Tests:

Reduce
users.reduce((acc, curr) => { if (curr.active) { return acc } return { ...acc, [curr.id]: curr.name } })
Simple assignment
let result = {} users.forEach((user, i) => result[user.id] = user.name)
From Entries
const a = users.filter((user) => !user.active).map((user) => [user.id, user.name]) Object.fromEntries(a)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Reduce
Simple assignment
From Entries

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

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

**Benchmark Definition**

The benchmark tests three different approaches to create an object with user data:

1. `Object.fromEntries`: This method creates a new object from an array of key-value pairs.
2. Simple assignment: Assigning properties to an empty object using the dot notation (`result[user.id] = user.name`).
3. `reduce()`: A built-in JavaScript function that reduces an array to a single value, creating an object in this case.

**Options Compared**

The benchmark compares the performance of these three approaches:

* `Object.fromEntries`
* Simple assignment
* `reduce()`

**Pros and Cons of Each Approach**

1. **`Object.fromEntries`**:
	* Pros: Efficient, concise, and readable.
	* Cons: May have overhead due to its creation, especially for large datasets.
2. **Simple Assignment**:
	* Pros: Fast, straightforward, and easy to understand.
	* Cons: Can be slower than `Object.fromEntries`, as it involves property lookup and assignment, which can lead to performance issues in some cases.
3. **`reduce()`**:
	* Pros: Flexible, allows for more complex transformations, and can be more efficient for large datasets.
	* Cons: May have a higher overhead due to its creation, especially if the accumulator is not properly optimized.

**Library Used**

None, as this benchmark only relies on built-in JavaScript features.

**Special JS Feature or Syntax**

None mentioned in the provided information. However, it's worth noting that `Object.fromEntries()` is a relatively new feature introduced in ECMAScript 2019 (ES10). If you're targeting older browsers or environments, you may need to use alternative methods.

**Other Alternatives**

If you prefer not to use `Object.fromEntries()`, you can create an object with key-value pairs using other methods:

* `Array.prototype.reduce()` without the accumulator (e.g., `users.forEach((user) => result[user.id] = user.name)`): This approach is similar to simple assignment but uses a more functional programming style.
* Using a library like Lodash or Underscore.js, which provide utilities for creating objects from arrays.

Keep in mind that these alternatives may have different performance characteristics and trade-offs compared to the original approaches being tested.

Latest run results:

Run details: (Test run date: 2 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36

Browser/OS: Chrome 128 on Windows

View result in a separate tab

Test name	Executions per second
Reduce	24859.7 Ops/sec
Simple assignment	215184.8 Ops/sec
From Entries	28617.1 Ops/sec

Related benchmarks:

Reduce vs simple assignment vs Object.fromEntries (version: 0)

Comparing performance of: Reduce vs Simple assignment vs From Entries

Created: 2 months ago by: Guest

Jump to the latest result

Reduce

Simple assignment

From Entries

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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