Benchmark: React Spreading Props vs Seperate Props

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/react/16.13.1/umd/react.production.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/react-dom/16.13.1/umd/react-dom.production.min.js"></script>
<div id="root"></div>

Script Preparation code:

function ComponentSpreading({a, b, c, d, f}) {
  return React.createElement('button', {a, b, c, d, f}, 'Click me!');
}
                                        
function ComponentExplicit(props) {
  return React.createElement('button', {a: props.a, b: props.b, c: props.c, d: props.d, f: props.f}, 'Click me!');
}

Tests:

Spreading
ReactDOM.render(React.createElement(ComponentSpreading, {a: 'a', b: 'b', c: 'c', d: 'd', f: 'f'}), document.getElementById('root'))
Explicit
ReactDOM.render(React.createElement(ComponentExplicit, {a: 'a', b: 'b', c: 'c', d: 'd', f: 'f'}), document.getElementById('root'))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Spreading
Explicit

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

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

**What is being tested?**

The benchmark is comparing two approaches to pass props (key-value pairs) to React components: spreading props using the shorthand syntax (`{a, b, c, d, f}`) versus explicit prop passing using the `props.a`, `props.b`, etc. syntax (`ComponentExplicit`).

**Options being compared**

There are two options:

1. **Spreading**: Passing props using the shorthand syntax (`{a, b, c, d, f}`). This is a concise way to pass multiple props to a component.
2. **Explicit**: Using the explicit `props.a`, `props.b`, etc. syntax to access and pass props to a component. This approach requires more code but provides more control over prop values.

**Pros and Cons of each approach**

**Spreading:**

Pros:

* Concise and easy to read
* Reduces boilerplate code

Cons:

* Can lead to typos or errors if not used carefully
* May be slower due to the need for the JavaScript interpreter to evaluate the shorthand syntax

**Explicit:**

Pros:

* More explicit and readable
* Provides better error handling and debugging capabilities

Cons:

* Requires more code, which can make it less concise
* Can be slower due to the need for additional lookups

**Library usage**

The benchmark uses React, a popular JavaScript library for building user interfaces. The `ReactDOM.render` function is used to render the components to the DOM.

**Special JS features or syntax**

There doesn't seem to be any special JavaScript features or syntax being tested in this benchmark. It's just a simple comparison of two approaches to passing props.

**Other alternatives**

If you wanted to write your own microbenchmark, you could use tools like Benchmark.js, which is specifically designed for performance testing and benchmarking JavaScript code. You could also use other libraries or frameworks that provide similar functionality to React.

In terms of specific alternative approaches, if you wanted to compare the performance of spreading props versus explicit prop passing in a different context, you might consider:

* Using a different library or framework, such as Angular or Vue.js
* Adding additional overhead, such as data transfer between components or multiple render loops
* Changing the scope or scale of the benchmark, such as comparing the performance of individual components vs. large-scale applications

Related benchmarks:

React Spreading Props vs Seperate Props (version: 0)

Testing to see what version of passing props is better performant

Comparing performance of: Spreading vs Explicit

Created: 3 years ago by: Registered User

Jump to the latest result

Spreading

Explicit

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):