Benchmark: spread operator vs object assign vs object setPrototypeOf vs reflect setPrototypeOf v2

HTML Preparation code:

spred vs object assign vs object setPrototypeOf vs reflect setPrototypeOf

Script Preparation code:

window.data = Array.from({ length: 65535 }, (_, index) => index);

Tests:

Reflect setPrototypeOf
var reflectSetPrototypeOf = Object.setPrototypeOf({}, window.data);
Object setPrototypeOf
var objectSetPrototypeOf = Object.setPrototypeOf({}, window.data);
assign
var assign = Object.assign({}, window.data);
spread
var spread = { ...window.data };

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Reflect setPrototypeOf
Object setPrototypeOf
assign
spread

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

**Benchmark Overview**

The website `MeasureThat.net` provides a microbenchmarking platform for JavaScript. The current benchmark is comparing four approaches to create an array from an existing object:

1. **Spread operator (`{ ... }`)**
2. **Object assign (`Object.assign()`)**
3. **Object setPrototypeOf (`Object.setPrototypeOf()`)**
4. **Reflect setPrototypeOf (v2) (`Reflect.setPrototypeOf()`)**

**Options Compared**

The four options are being compared to create an array from a large object, `window.data`, which contains 65,535 elements. The objective is to measure the performance difference between these approaches.

**Pros and Cons of Each Approach:**

1. **Spread Operator (`{ ... }`)**:
	* Pros: Simple, concise, and widely supported.
	* Cons: Can be slower due to the creation of a new array object.
2. **Object Assign (`Object.assign()`)**
	* Pros: Fast and efficient, as it creates a shallow copy of the source object.
	* Cons: May not work correctly with nested objects or arrays.
3. **Object SetPrototypeOf (`Object.setPrototypeOf()`)**
	* Pros: Allows for more control over the creation process, but can be slower.
	* Cons: Less intuitive than other approaches and may require additional setup.
4. **Reflect SetPrototypeOf (v2) (`Reflect.setPrototypeOf()`)**
	* Pros: More efficient than `Object.setPrototypeOf()` in modern browsers, with better support for nested objects.
	* Cons: Requires browser support for the `Reflect` API.

**Library Used**

The benchmark uses the `window.data` object, which is an array created using `Array.from()`. This library is a standard JavaScript function that creates a new array from an iterable.

**Special JS Features or Syntax**

This benchmark does not use any special features or syntax beyond what's available in modern JavaScript. The focus is on comparing the performance of different array creation methods.

**Other Alternatives**

If you're interested in exploring alternative approaches, here are some additional options:

1. **Array.from() with a callback**: `Array.from(window.data, (_, index) => index)`
2. **Map():` `new Map([...window.data])`
3. **Promise.all()`: Using `Promise.all()` to create an array from an array of promises.

Keep in mind that these alternatives may have different performance characteristics and use cases compared to the original methods being benchmarked.

In summary, this benchmark is designed to compare the performance of four approaches to create an array from a large object. Understanding the pros and cons of each approach will help you make informed decisions about which method to use depending on your specific requirements.

Related benchmarks:

spread operator vs object assign vs object setPrototypeOf vs reflect setPrototypeOf v2 (version: 0)

spread operator vs object assign vs object setPrototypeOf vs reflect setPrototypeOf

Comparing performance of: Reflect setPrototypeOf vs Object setPrototypeOf vs assign vs spread

Created: 2 years ago by: Registered User

Jump to the latest result

Reflect setPrototypeOf

Object setPrototypeOf

assign

spread

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):