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;
}

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

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
JSON rw
Prototype

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 8 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.116 Safari/537.36

Browser/OS: Chrome 53 on Mac OS X 10.10.5

View result in a separate tab

Test name	Executions per second
JSON rw	134600.4 Ops/sec
Prototype	1611371.9 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 7 months ago):

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:

JSON Rewriting (JSON rw)
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:

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

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: 8 years ago by: Registered User

Jump to the latest result

JSON rw

Prototype

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 7 months ago):