Benchmark: JSON rw versus prototype

Script Preparation code:

var bigdata = {};
for (var i = 0; i < 100; i++) {
  var usdata = {
    name: 'user' + i,
    surname: 'user' + i,
    friends: {}
  };

  for (var j = 0; j < 10; j++) {
    usdata.friends['friend' + j] = {
      _ref: 'firend' + j
    };
  }

  bigdata['user' + i] = usdata;
}


function lazyExtend(prev, next) {
  if (!prev) return;
  for (var k in next) {
    var val = next[k];
    if (typeof(val) !== 'object') continue;
    lazyExtend(prev[k], val);
  }
  if (!next.toJSON) next.toJSON = jsonAll;
  Object.setPrototypeOf(next,prev);
}

function jsonAll() {
  var tmp = {};
  for(var key in this) {
    var to = typeof this[key];
    if(to !== 'function')
      tmp[key] = this[key];
  }
  return tmp;
}

Tests:

JSON rw
var copy = JSON.parse(JSON.stringify(bigdata.user0));
Prototype
var copy = {}; lazyExtend(bigdata.user0,copy);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
JSON rw
Prototype

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.

Let's break down what's being tested in the provided JSON benchmark definition.

**Main Objective:**
The primary objective is to compare two approaches for creating copies of objects in JavaScript:

1. **JSON Rewriting (JSON rw)**
2. **Prototype Chain Extension (Prototype)**

**JSON Rewriting (JSON rw):**

In this approach, a deep copy of the object `bigdata.user0` is created using the `JSON.parse(JSON.stringify())` method. This method serializes the object to a JSON string, and then deserializes it back into an object. The resulting object is not the original object, but rather a new object that represents the same data.

**Prototype Chain Extension (Prototype):**

In this approach, the `lazyExtend` function is used to extend the prototype chain of an object (`bigdata.user0`). The `lazyExtend` function recursively copies the properties from one object (`prev`) to another object (`next`). This creates a new object that inherits from the original object's prototype.

**Comparison:**

The benchmark aims to compare the performance of these two approaches. In practice, both methods have their pros and cons:

* **JSON Rewriting (JSON rw):**
	+ Pros:
		- Easy to implement
		- Works well for simple objects
	+ Cons:
		- Can be slow for large objects due to the serialization and deserialization process
		- May not work correctly with certain types of data (e.g., functions, undefined values)
* **Prototype Chain Extension (Prototype):**
	+ Pros:
		- Fast and efficient for large objects
		- Works well with complex object graphs
	+ Cons:
		- Requires manual implementation of the `lazyExtend` function
		- May lead to unexpected behavior if not used carefully

**Library Used:**

The `JSON.parse(JSON.stringify())` method is a built-in JavaScript function that uses a custom implementation to serialize and deserialize objects. The `lazyExtend` function is defined in the provided code.

**Other Considerations:**

* **Device Platform:** The benchmark was run on a Macintosh with Intel Core i7 processor, running Chrome 53.
* **Operating System:** Mac OS X 10.10.5
* **Browser:** Chrome 53

**Alternatives:**

Some alternative approaches for creating copies of objects in JavaScript include:

1. Using the `Object.assign()` method (available in modern browsers)
2. Using a library like Lodash's `cloneDeep()` function
3. Using a custom implementation with loops and recursive function calls

Related benchmarks:

JSON rw versus prototype (version: 3)

Comparing performance of: JSON rw vs Prototype

Created: 9 years ago by: Registered User

Jump to the latest result

JSON rw

Prototype

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):