Benchmark: Getter / Setter vs Proxy vs Class getter aleynikovsa

Script Preparation code:

data1 = {};
handler = {
  get: (target, prop) => (target[prop]),
  set: (target, prop, value) => (target[prop] = value),
};
proxy = new  Proxy(data1, handler);
data2 = {
  get test() {
    return this._test;
  },
  set test(value) {
    return this._test = value;
  }
};

class Data3 {
    _test;
  
	get test()
    {
      return this._test;
    }
    set test(value)
    {
      this._test = value;
    }
}
data3 = new Data3();

class Data4 {
    _test;
  
	getTest()
    {
      return this._test;
    }
    setTest(value)
    {
      this._test = value;
    }
}
data4 = new Data4();

Tests:

setter getter4214214
data2.test = Math.random(); console.log(data2.test);
proxy321312
proxy.test = Math.random(); console.log(proxy.test);
class getter setter4124124
data3.test = Math.random() data3test = data3.test
my own test243124124
data4.setTest(Math.random()) data4.getTest()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
setter getter4214214
proxy321312
class getter setter4124124
my own test243124124

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36

Browser/OS: Chrome 122 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
setter getter4214214	354271.5 Ops/sec
proxy321312	361911.8 Ops/sec
class getter setter4124124	4100785.2 Ops/sec
my own test243124124	5866442.0 Ops/sec

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

LLMs can make mistakes. Check important info.

**Overview of the Benchmark**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided benchmark definition json represents a comparison between three approaches: using getters and setters, proxies, and classes with getter and setter methods.

**Approaches Compared**

1. **Getters and Setters**: This approach uses the `get` and `set` keywords to define getter and setter methods for specific properties.
2. **Proxies**: Proxies are used to create a transparent wrapper around an object, allowing for dynamic property access and manipulation. In this benchmark, a proxy is created with a handler that defines custom getters and setters.
3. **Classes with Getter and Setter Methods**: This approach uses classes with defined getter and setter methods to encapsulate data and behavior.

**Pros and Cons of Each Approach**

1. **Getters and Setters**:
	* Pros: Easy to implement, intuitive syntax, and minimal overhead.
	* Cons: May lead to tightly coupled code, and can result in slower performance due to method invocation overhead.
2. **Proxies**:
	* Pros: Provides fine-grained control over property access and manipulation, allowing for optimal caching and optimization.
	* Cons: More complex to implement, requires manual management of proxy creation and configuration.
3. **Classes with Getter and Setter Methods**:
	* Pros: Encapsulates data and behavior in a self-contained unit, making code more modular and reusable.
	* Cons: May lead to over-engineering, and can result in increased overhead due to method invocation.

**Library and Special JS Features**

* The `Proxy` object is used in the benchmark. Proxies are a built-in JavaScript feature that allows for dynamic property access and manipulation.
* No special JavaScript features or syntax are mentioned in the provided code.

**Other Considerations**

* In terms of performance, proxies tend to perform better than getters and setters due to their ability to optimize property access and manipulation.
* Classes with getter and setter methods can provide a good balance between encapsulation and performance, but may require more boilerplate code.

**Alternative Approaches**

1. **Using `data-access libraries`**: Libraries like Lodash or Underscore.js provide optimized data-access utilities that can simplify the implementation of getters and setters.
2. **Caching mechanisms**: Implementing caching mechanisms, such as memoization or optimistic updates, can optimize performance in certain scenarios.
3. **Type-based optimization**: Using type-based optimizations, such as TypeScript's type inference and annotations, can help identify potential performance bottlenecks.

In conclusion, the benchmark provides a useful comparison between three approaches to implementing getters and setters in JavaScript. Understanding the pros and cons of each approach, as well as considering alternative techniques, can help developers make informed decisions about which approach best suits their specific use case.

Related benchmarks:

Getter / Setter vs Proxy vs Class getter aleynikovsa (version: 0)

Comparing performance of: setter getter4214214 vs proxy321312 vs class getter setter4124124 vs my own test243124124

Created: 2 years ago by: Guest

Jump to the latest result

setter getter4214214

proxy321312

class getter setter4124124

my own test243124124

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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