Benchmark: RFDC clone vs Lodash clone vs JSON Clone

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/rfdc@1.1.4/index.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.20/lodash.min.js"></script>

AخA
 
<script src="https://cdn.jsdelivr.net/npm/rfdc@1.1.4/index.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.20/lodash.min.js"></script>

Script Preparation code:

var sampleObject = [{
        "id": "0001",
        "type": "donut",
        "name": "Cake",
        "ppu": 0.55,
        "batters": {
            "batter": [{
                    "id": "1001",
                    "type": "Regular"
                },
                {
                    "id": "1002",
                    "type": "Chocolate"
                },
                {
                    "id": "1003",
                    "type": "Blueberry"
                },
                {
                    "id": "1004",
                    "type": "Devil's Food"
                }
            ]
        },
        "topping": [{
                "id": "5001",
                "type": "None"
            },
            {
                "id": "5002",
                "type": "Glazed"
            },
            {
                "id": "5005",
                "type": "Sugar"
            },
            {
                "id": "5007",
                "type": "Powdered Sugar"
            },
            {
                "id": "5006",
                "type": "Chocolate with Sprinkles"
            },
            {
                "id": "5003",
                "type": "Chocolate"
            },
            {
                "id": "5004",
                "type": "Maple"
            }
        ]
    },
    {
        "id": "0002",
        "type": "donut",
        "name": "Raised",
        "ppu": 0.55,
        "batters": {
            "batter": [{
                "id": "1001",
                "type": "Regular"
            }]
        },
        "topping": [{
                "id": "5001",
                "type": "None"
            },
            {
                "id": "5002",
                "type": "Glazed"
            },
            {
                "id": "5005",
                "type": "Sugar"
            },
            {
                "id": "5003",
                "type": "Chocolate"
            },
            {
                "id": "5004",
                "type": "Maple"
            }
        ]
    },
    {
        "id": "0003",
        "type": "donut",
        "name": "Old Fashioned",
        "ppu": 0.55,
        "batters": {
            "batter": [{
                    "id": "1001",
                    "type": "Regular"
                },
                {
                    "id": "1002",
                    "type": "Chocolate"
                }
            ]
        },
        "topping": [{
                "id": "5001",
                "type": "None"
            },
            {
                "id": "5002",
                "type": "Glazed"
            },
            {
                "id": "5003",
                "type": "Chocolate"
            },
            {
                "id": "5004",
                "type": "Maple"
            }
        ]
    }
];

var myCopy = null;

​x
 
var sampleObject = [{        "id": "0001",        "type": "donut",        "name": "Cake",        "ppu": 0.55,        "batters": {            "batter": [{                    "id": "1001",                    "type": "Regular"                },                {                    "id": "1002",                    "type": "Chocolate"                },                {                    "id": "1003",                    "type": "Blueberry"                },                {                    "id": "1004",                    "type": "Devil's Food"                }            ]        },        "topping": [{                "id": "5001",                "type": "None"            },            {                "id": "5002",                "type": "Glazed"            },            {                "id": "5005",                "type": "Sugar"            },            {                "id": "5007",                "type": "Powdered Sugar"            },            {                "id": "5006",                "type": "Chocolate with Sprinkles"            },            {                "id": "5003",                "type": "Chocolate"            },            {                "id": "5004",                "type": "Maple"            }        ]    },    {        "id": "0002",        "type": "donut",        "name": "Raised",        "ppu": 0.55,        "batters": {            "batter": [{                "id": "1001",                "type": "Regular"            }]        },        "topping": [{                "id": "5001",                "type": "None"            },            {                "id": "5002",                "type": "Glazed"            },            {                "id": "5005",                "type": "Sugar"            },            {                "id": "5003",                "type": "Chocolate"            },            {                "id": "5004",                "type": "Maple"            }        ]    },    {        "id": "0003",        "type": "donut",        "name": "Old Fashioned",        "ppu": 0.55,        "batters": {            "batter": [{                    "id": "1001",                    "type": "Regular"                },                {                    "id": "1002",                    "type": "Chocolate"                }            ]        },        "topping": [{                "id": "5001",                "type": "None"            },            {                "id": "5002",                "type": "Glazed"            },            {                "id": "5003",                "type": "Chocolate"            },            {                "id": "5004",                "type": "Maple"            }        ]    }];​var myCopy = null;

Tests:

Lodash cloneDeep
myCopy = _.clone(sampleObject);
myCopy = _.clone(sampleObject);
Json clone
myCopy = JSON.parse(JSON.stringify(sampleObject));
myCopy = JSON.parse(JSON.stringify(sampleObject));
RFDC copy
var clone = rfdc(); myCopy = clone(sampleObject);
var clone = rfdc();
myCopy = clone(sampleObject);

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
Lodash cloneDeep
Json clone
RFDC copy

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36

Browser/OS: Chrome 87 on Windows

View result in a separate tab

Test name	Executions per second
Lodash cloneDeep	1266092.4 Ops/sec
Json clone	34585.7 Ops/sec
RFDC copy	95280.5 Ops/sec

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

Let's break down the benchmark and explain what's being tested.

The benchmark compares the performance of three different methods for cloning an object:

Lodash Clone Deep: This method uses the cloneDeep function from Lodash, a popular JavaScript utility library.
JSON Clone: This method uses the JSON.parse(JSON.stringify(sampleObject)) syntax to clone the object.
RFDC Copy: This method uses the rfdc() function from the RFDC (Randomized Deep Clone) library.

Lodash Clone Deep

Purpose: Create a deep copy of an object, recursively cloning all nested properties and arrays.
Pros:
- Provides a simple and efficient way to create a deep clone of an object.
- Supports cloning of complex data structures, such as arrays and objects with nested properties.
Cons:
- Requires the Lodash library to be loaded, which may increase the overall size of the application.
- May not be suitable for very large or complex objects due to potential performance issues.

JSON Clone

Purpose: Use JSON serialization to create a deep clone of an object.
Pros:
- Lightweight and does not require any additional libraries.
- Can be useful when working with limited resources or in environments where loading external libraries is not allowed.
Cons:
- May not work correctly with certain data structures, such as objects with circular references or complex arrays.
- Can result in a larger binary payload compared to other methods.

RFDC Copy

Purpose: Create a deep copy of an object using a randomized algorithm that minimizes memory allocation and copying.
Pros:
- Provides fast performance and is suitable for large objects.
- Does not require any additional libraries or dependencies.
Cons:
- May not be as straightforward to implement as other methods, requiring more development effort.
- Requires a good understanding of the underlying algorithm and its trade-offs.

In summary, this benchmark compares three different approaches for cloning an object:

Lodash Clone Deep: Provides a simple and efficient way to create a deep clone, but requires additional library dependencies.
JSON Clone: A lightweight approach that uses JSON serialization, but may not work correctly with all data structures.
RFDC Copy: A fast and lightweight algorithm that minimizes memory allocation and copying, but may require more development effort.

The benchmark results show the performance characteristics of each method on a specific test case, allowing developers to make informed decisions about which approach to use in their own applications.

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested.

The benchmark compares the performance of three different methods for cloning an object:

1. **Lodash Clone Deep**: This method uses the `cloneDeep` function from Lodash, a popular JavaScript utility library.
2. **JSON Clone**: This method uses the `JSON.parse(JSON.stringify(sampleObject))` syntax to clone the object.
3. **RFDC Copy**: This method uses the `rfdc()` function from the RFDC (Randomized Deep Clone) library.

**Lodash Clone Deep**

* **Purpose:** Create a deep copy of an object, recursively cloning all nested properties and arrays.
* **Pros:**
	+ Provides a simple and efficient way to create a deep clone of an object.
	+ Supports cloning of complex data structures, such as arrays and objects with nested properties.
* **Cons:**
	+ Requires the Lodash library to be loaded, which may increase the overall size of the application.
	+ May not be suitable for very large or complex objects due to potential performance issues.

**JSON Clone**

* **Purpose:** Use JSON serialization to create a deep clone of an object.
* **Pros:**
	+ Lightweight and does not require any additional libraries.
	+ Can be useful when working with limited resources or in environments where loading external libraries is not allowed.
* **Cons:**
	+ May not work correctly with certain data structures, such as objects with circular references or complex arrays.
	+ Can result in a larger binary payload compared to other methods.

**RFDC Copy**

* **Purpose:** Create a deep copy of an object using a randomized algorithm that minimizes memory allocation and copying.
* **Pros:**
	+ Provides fast performance and is suitable for large objects.
	+ Does not require any additional libraries or dependencies.
* **Cons:**
	+ May not be as straightforward to implement as other methods, requiring more development effort.
	+ Requires a good understanding of the underlying algorithm and its trade-offs.

In summary, this benchmark compares three different approaches for cloning an object:

1. Lodash Clone Deep: Provides a simple and efficient way to create a deep clone, but requires additional library dependencies.
2. JSON Clone: A lightweight approach that uses JSON serialization, but may not work correctly with all data structures.
3. RFDC Copy: A fast and lightweight algorithm that minimizes memory allocation and copying, but may require more development effort.

Related benchmarks:

RFDC clone vs Lodash clone vs JSON Clone (version: 0)

Comparing performance of: Lodash cloneDeep vs Json clone vs RFDC copy

Created: 4 years ago by: Guest

Jump to the latest result

Lodash cloneDeep

Json clone

RFDC copy

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):