Benchmark: Stringify vs. cloneDeep vs. structuredClone

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var matrixData = {
    horizontalAxisData: [
        // Employees
        {
            id: 'eb2cabbd-c1ca-47f9-a7d7-817d0a51a7a6',
            label: 'Group A0',
            elements: [{
                    id: '7f4f8a1d-6efe-4808-8856-f534c4728536',
                    label: 'Group A1',
                    elements: [{
                            id: '5a644109-31db-4d2c-b632-c8643c775b82',
                            label: 'Group A2',
                            elements: [{
                                    id: 'bc3a57b2-a731-46ba-81aa-8e47c3ec844c',
                                    label: 'Amelia Miller',
                                },
                                {
                                    id: '5d2e8807-3615-4c3c-b724-e62587951049',
                                    label: 'Harper Wilson',
                                },
                                {
                                    id: 'e9d15dbd-ff4c-4552-8318-d9a4b7e59c63',
                                    label: 'Elijah Smith',
                                },
                                {
                                    id: 'bf590ec9-8a64-4416-bd8b-ab7598c9d440',
                                    label: 'Amelia Wilson',
                                },
                                {
                                    id: 'cb0a47c0-6f1e-41d6-91a2-d263f6d1e332',
                                    label: 'Noah Anderson',
                                },
                            ],
                        },
                        {
                            id: '023e771c-366b-4af1-bbf8-69877765e93e',
                            label: 'Millie Abbott',
                        },
                        {
                            id: '02ff5c23-b51e-4304-839c-c140296a27bf',
                            label: 'Oliver Brown',
                        },
                        {
                            id: 'd1b34337-cdbb-4c83-84ae-6a1a526481bb',
                            label: 'Sophia Clark',
                        },
                    ],
                },
                {
                    id: 'ab328408-13e8-49f2-8669-b5e52a08de54',
                    label: 'Liam Davis',
                },
                {
                    id: '7577c07e-846f-4272-82d1-f23a4ce6d329',
                    label: 'Ava Evans',
                },
                {
                    id: '03c6344e-be96-4ba3-b528-b202f382968a',
                    label: 'Lucas Foster',
                },
                {
                    id: '569a77ec-cf2c-493d-97f1-c4afb113a351',
                    label: 'Isabella Green',
                },
            ],
        },
        {
            id: '3fe86ed1-c6b9-4ba2-bafe-c6fa0af89ecd',
            label: 'Group B0',
            elements: [{
                    id: 'b37f6abd-d6ca-469b-bc1a-9c2b1a5b3350',
                    label: 'Amelia Taylor',
                },
                {
                    id: '699b5746-530b-4307-a777-676a12189bdb',
                    label: 'Henry Miller',
                },
                {
                    id: '5640f09a-b605-4b68-8c34-793f600cfae7',
                    label: 'Mia Thomas',
                },
                {
                    id: 'ba632589-d7f3-4927-a66b-8517c349b0a0',
                    label: 'Harper Martin',
                },
                {
                    id: '7789c32f-db8d-423d-9ca1-f66249743631',
                    label: 'Isabella Davis',
                },
            ],
        },
    ],
    verticalAxisData: [
        // Skills
        {
            id: '9c85b9e8-2541-447e-adcf-d566f6c8ea18',
            label: 'Bakery',
            elements: [{
                    id: '2e1efadb-a42f-447e-adcf-b5b07ef3a487',
                    label: 'Bread Baking',
                },
                {
                    id: '2daec260-c0ca-4f36-9e4d-7584b1847199',
                    label: 'Pastry Making',
                },
                {
                    id: 'b948c292-2ccf-4787-ab14-33793fba7808',
                    label: 'Dough Preparation',
                },
                {
                    id: 'e174b8b2-2541-4e61-b6bb-5f5555afec50',
                    label: 'Mixing Ingredients',
                },
                {
                    id: 'fc7628bb-0e45-40f0-9f70-4159d621ffe0',
                    label: 'Baking Techniques',
                },
                {
                    id: 'fd4047e8-03ec-4683-941c-6cd1692613d3',
                    label: 'Yeast Handling',
                },
            ],
        },
        {
            id: 'abc5b9e8-2541-447e-adcf-d566f6c8ea18',
            label: 'Bakery Management',
            elements: [{
                    id: 'e2cf91ef-6a7f-4879-8eac-23c658a2a271',
                    label: 'Inventory Management',
                },
                {
                    id: '9c85b9e8-01ab-4e51-b253-43c01399cb52',
                    label: 'Business Strategy',
                },
                {
                    id: '6146f16d-74e3-4205-aed6-d566f6c8e987',
                    label: 'Customer Relations',
                },
                {
                    id: '14b39f1a-4b72-4bad-9057-56b9d589eefb',
                    label: 'Quality Assurance',
                },
            ],
        },
    ],
    skillsData: [{
            id: 'bc3a57b2-a731-46ba-81aa-8e47c3ec844c',
            skills: [
                {
                    id: '2e1efadb-a42f-447e-adcf-b5b07ef3a487'
                },
                {
                    id: '2daec260-c0ca-4f36-9e4d-7584b1847199'
                },
                {
                    id: 'e174b8b2-2541-4e61-b6bb-5f5555afec50'
                },
                {
                    id: '6146f16d-74e3-4205-aed6-d566f6c8e987'
                },
            ],
        },
        {
            id: '023e771c-366b-4af1-bbf8-69877765e93e',
            skills: [{
                    id: '2e1efadb-a42f-447e-adcf-b5b07ef3a487'
                },
                {
                    id: '2daec260-c0ca-4f36-9e4d-7584b1847199'
                },
                {
                    id: 'e174b8b2-2541-4e61-b6bb-5f5555afec50'
                },
                {
                    id: '6146f16d-74e3-4205-aed6-d566f6c8e987'
                },
            ],
        },
    ],
};

Tests:

JSON parse and stringify
const jsonParseStringify = JSON.parse(JSON.stringify(matrixData));
lodash cloneDeep
const lodashCloneDeep = _.cloneDeep(matrixData);
structuredClone()
const clone = structuredClone(matrixData);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
JSON parse and stringify
lodash cloneDeep
structuredClone()

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36

Browser/OS: Chrome 120 on Mac OS X 10.15.7

View result in a separate tab

JSON parse and stringify

128K/s

structuredClone()

73K/s

lodash cloneDeep

69K/s

View exact numbers

Test name	Executions per second
✓ JSON parse and stringify	127,673 Ops/sec
structuredClone()	72,816 Ops/sec
lodash cloneDeep	68,978 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Based on the provided data, it appears to be related to benchmarking and testing of different JavaScript libraries for JSON parsing and cloning.

To answer your question, I would need more context or specific information about what you are asking me to do. However, I can provide some general insights based on the provided data:

1. The `matrixData` object seems to contain nested structures with arrays and objects.
2. The benchmark definitions mention using various libraries for JSON parsing and cloning:
	* `JSON.parse(JSON.stringify(matrixData))`: Uses the built-in JavaScript `JSON` library for parsing and stringification.
	* `_ = require('lodash'); const lodashCloneDeep = _.cloneDeep(matrixData);`: Uses the Lodash library for deep cloning of the object.
	* `const clone = structuredClone(matrixData);`: Uses the Web APIs (W3C) `structuredClone()` function for creating a deep clone of the object.
3. The latest benchmark results show different execution frequencies per second for each test case, indicating varying performance of the libraries being tested.

If you could provide more context or specific questions about this data, I'd be happy to help!

Stringify vs. cloneDeep vs. structuredClone (version: 4) Benchmark.js

Comparing performance of: `JSON parse and stringify vs lodash cloneDeep vs structuredClone()`

Created: 2 years ago by: Registered User

Go to the latest result

JSON parse and stringify

lodash cloneDeep

structuredClone()

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

Stringify vs. cloneDeep vs. structuredClone (version: 4) Benchmark.js

Comparing performance of: JSON parse and stringify vs lodash cloneDeep vs structuredClone()

Created: 2 years ago by: Registered User

Go to the latest result

JSON parse and stringify

lodash cloneDeep

structuredClone()

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

Related benchmarks

Comparing performance of: `JSON parse and stringify vs lodash cloneDeep vs structuredClone()`