Benchmark: Proxy setter with sub operation v. class

Script Preparation code:

var c = 0;
object = {};
class p {
    set value(v){
         if (c++%7==0) v += c;
        this._value = v;
    }
}
proxy = new p();
proxyWithHandler = new Proxy(object, {
	set(target, prop, receiver) {
        if (c++%7==0) prop += c;
    	return Reflect.set(target, prop, receiver);
    }
})

Tests:

Object setter
object.value = 'data';
Proxy setter
proxy.value = 'data';
Proxy with set handler
proxyWithHandler.value = 'data';

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Object setter
Proxy setter
Proxy with set handler

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

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

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmarking test case created on MeasureThat.net. The test compares the performance of three different approaches:

1. **Direct Object Setter**: Setting an attribute directly on an object.
2. **Proxy Setter**: Using a Proxy to set an attribute on an object.
3. **Proxy with Set Handler**: A custom Proxy handler that modifies the value being set.

**Options Comparison**

The benchmark compares these three options because they demonstrate different approaches to accessing and modifying attributes in JavaScript:

*   **Direct Object Setter**: This is a straightforward way of setting an attribute on an object using dot notation (e.g., `object.value = 'data';`).
*   **Proxy Setter**: A Proxy allows you to wrap an object, intercepting certain operations like setting properties. In this case, the Proxy sets a custom handler for the `set` operation.
*   **Proxy with Set Handler**: This approach builds upon the Proxy concept by creating a custom set handler that modifies the value being set.

Pros and Cons of Each Approach:

*   **Direct Object Setter**:
    *   Pros: Easy to understand, simple syntax, and fast.
    *   Cons: May not be suitable for situations where you need more control over attribute access or modification.
*   **Proxy Setter**:
    *   Pros: Offers more flexibility than the direct setter approach, can be useful in scenarios where you want to intercept or modify attribute access.
    *   Cons: Can introduce additional overhead due to Proxy setup and handling.
*   **Proxy with Set Handler**:
    *   Pros: Combines the benefits of Proxies with custom behavior for set operations, providing more control over attribute modifications.
    *   Cons: Requires setting up a custom Proxy handler, which can add complexity.

**Library Usage**

None of the benchmarked approaches utilize any external libraries. However, they do rely on built-in JavaScript features like Proxies and Reflect (used in the Proxy with Set Handler).

**Special JS Features or Syntax**

This benchmark does not use any special JavaScript features or syntax beyond what's necessary to test the described concepts.

**Alternatives**

Some alternative approaches that might be worth exploring for similar scenarios include:

*   **Class-based setters**: Instead of using a Proxy, you could create a class with setter methods. This approach can provide more control over attribute access and modification.
*   **Native getters and setters**: Using native getters and setters (available since ECMAScript 2015) allows you to define custom behavior for property access and modification without relying on Proxies.

Overall, the benchmark highlights the importance of understanding how different approaches can affect performance in JavaScript, especially when working with objects and attributes.

Related benchmarks:

Proxy setter with sub operation v. class (version: 0)

Comparing performance of: Object setter vs Proxy setter vs Proxy with set handler

Created: 5 years ago by: Guest

Jump to the latest result

Object setter

Proxy setter

Proxy with set handler

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):