Benchmark: oobject clone - MeasureThat.net

Script Preparation code:

var object = {a:1, b:'2', c:false};

Tests:

object assign
var object2 = Object.assign({}, object);
json
var object2 = JSON.parse(JSON.stringify(object));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
object assign
json

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and test cases.

**Benchmark Definition**

The benchmark is defined by providing a script preparation code that creates an object `object` with three properties: `a`, `b`, and `c`. The object contains values of different data types: an integer (`1`), a string (`"2"`), and a boolean (`false`). This object serves as the input for the benchmark.

**Options Compared**

Two options are compared:

1. **Object Assign**: `var object2 = Object.assign({}, object);`
2. **JSON Parse/Stringify**: `var object2 = JSON.parse(JSON.stringify(object));`

These two approaches aim to clone the original object `object`. However, they differ in how they achieve this.

**Pros and Cons of Each Approach**

### Object Assign

**Pros:**

* Fast and efficient
* Creates a shallow copy of the original object, which is sufficient for most use cases
* Native JavaScript support, making it widely available and reliable

**Cons:**

* Does not create a deep copy, as it only copies the top-level properties. This means that nested objects or arrays are preserved in their original form.
* Can be less intuitive to understand compared to other methods.

### JSON Parse/Stringify

**Pros:**

* Creates a deep copy of the original object, including all nested properties and arrays
* Can be more reliable than Object.assign when dealing with complex data structures

**Cons:**

* Slower performance compared to Object.assign due to additional parsing steps
* Requires two separate function calls (JSON.parse and JSON.stringify), which can be overkill for simple cloning.

**Library/Functionality Used**

In the provided benchmark definition, `Object.assign` is used as the primary method. This is a built-in JavaScript function that creates a shallow copy of an object by assigning its values to a new object.

The `JSON.parse(JSON.stringify(object))` approach uses the `JSON.stringify` function to serialize the original object and then parses the resulting string back into a new object using `JSON.parse`. This method can create a deep copy, but it's not as efficient as Object.assign.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntax used in this benchmark. The focus is on comparing two basic cloning methods.

**Other Alternatives**

For creating a deep copy of an object, other alternatives include:

* `lodash.cloneDeep()`: A popular external library that provides a safe and efficient way to clone complex data structures.
* `Array.prototype.slice()` followed by `JSON.parse(JSON.stringify())` for arrays.
* `XMLSerializer` for serializing XML objects (although not applicable in this specific benchmark).

Keep in mind that for most use cases, Object.assign will suffice. However, if you're working with complex data structures or require a deeper understanding of the cloning process, one of these alternative methods might be more suitable.

Latest run results:

Run details: (Test run date: 6 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36

Browser/OS: Chrome 67 on Windows

View result in a separate tab

Test name	Executions per second
object assign	890724.6 Ops/sec
json	450059.5 Ops/sec

Related benchmarks:

oobject clone (version: 0)

Comparing performance of: object assign vs json

Created: 6 years ago by: Guest

Jump to the latest result

object assign

json

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):