var cls = function() {},
constructorObject = function(a) {
return (!!a) && (a.constructor === Object);
},
prototypeObject = function(a) {
return Object.getPrototypeOf(a) === Object.prototype;
};
var obj = {};
prototypeObject(obj);
prototypeObject(new cls);
constructorObject(obj);
constructorObject(new cls);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
prototype | |
constructor |
Test name | Executions per second |
---|---|
prototype | 22934686.0 Ops/sec |
constructor | 74046816.0 Ops/sec |
I'd be happy to help you understand what's being tested in this JavaScript microbenchmark.
Benchmark Overview
The benchmark is designed to measure the performance difference between two approaches: constructor-based object creation and prototype-based object creation in JavaScript.
Test Cases
There are two test cases:
prototype
property and its value is an instance of Object.prototype
.function
keyword) has a constructor function that returns true
when passed a valid object.Library Usage
The benchmark uses the Object.getPrototypeOf()
method, which is a standard JavaScript method for getting the prototype of an object. The Object.prototype
property is also used in the test cases.
Special JS Feature/Syntax
There's no special JS feature or syntax mentioned in this benchmark. It only relies on standard JavaScript functionality.
Options Compared
The benchmark compares two options:
constructor
method is called to create a new object instance.prototype
property of an object to another object, effectively creating a prototype chain.Pros and Cons
Here are some pros and cons of each approach:
Object.getPrototypeOf()
Other Alternatives
Other alternatives for creating objects in JavaScript include:
class MyClass { constructor() {} }
) which allows for more concise object creation.In conclusion, the benchmark is testing the performance difference between two approaches to creating objects in JavaScript: constructor-based and prototype-based object creation. The results can help users understand the trade-offs between these approaches and make informed decisions about their own code organization and performance optimization strategies.