Benchmark: stringify-parse vs structuredClone

Script Preparation code:

var obj = {
  entities: {
    threads: [
      {
        publishStartDate: '2020-03-19T07:12:19.699Z',
        properties: {
          pageType: 'article',
          attributions: {
            profiles: [
              {
                id: 'profile-id-1',
                age: 24,
                gender: 'male',
                type: 'asdf_asdf',
                geo: 'geo',
                description: 'description',
                givenName: 'Name',
                familyName: 'Lastname',
                fullName: 'Name Lastname',
                familyNameGivenName: 'Lastname, Name',
                nameOrder: 'western',
                socialMedia: {
                  instagram: 'instagram',
                },
                avatar: {
                  squarish: {
                    id: '44b3d4df-59a3-4ae8-837e-ac9ad1190d54',
                    url: 'some.url',
                    aspectRatio: 1.0,
                  },
                  landscape: {
                    id: '44b3d4df-59a3-4ae8-837e-ac9ad1190d54',
                    url: 'some.url',
                    aspectRatio: 1.7,
                  },
                  portrait: {
                    id: '44b3d4df-59a3-4ae8-837e-ac9ad1190d54',
                    url: 'some.url',
                    aspectRatio: 0.5,
                  },
                },
                title: 'Whatever',
              },
              {
                id: 'profile-id-1',
                age: 24,
                gender: 'male',
                type: 'asdf_asdf',
                geo: 'geo',
                description: 'description',
                givenName: 'Name',
                familyName: 'Lastname',
                fullName: 'Name Lastname',
                familyNameGivenName: 'Lastname, Name',
                nameOrder: 'western',
                socialMedia: {
                  instagram: 'instagram',
                },
                avatar: {
                  squarish: {
                    id: '44b3d4df-59a3-4ae8-837e-ac9ad1190d54',
                    url: 'some.url',
                    aspectRatio: 1.0,
                  },
                  landscape: {
                    id: '44b3d4df-59a3-4ae8-837e-ac9ad1190d54',
                    url: 'some.url',
                    aspectRatio: 1.7,
                  },
                  portrait: {
                    id: '44b3d4df-59a3-4ae8-837e-ac9ad1190d54',
                    url: 'some.url',
                    aspectRatio: 0.5,
                  },
                },
                title: 'Whatever',
              },
              {
                id: 'profile-id-1',
                age: 24,
                gender: 'male',
                type: 'asdf_asdf',
                geo: 'geo',
                description: 'description',
                givenName: 'Name',
                familyName: 'Lastname',
                fullName: 'Name Lastname',
                familyNameGivenName: 'Lastname, Name',
                nameOrder: 'western',
                socialMedia: {
                  instagram: 'instagram',
                },
                avatar: {
                  squarish: {
                    id: '44b3d4df-59a3-4ae8-837e-ac9ad1190d54',
                    url: 'some.url',
                    aspectRatio: 1.0,
                  },
                  landscape: {
                    id: '44b3d4df-59a3-4ae8-837e-ac9ad1190d54',
                    url: 'some.url',
                    aspectRatio: 1.7,
                  },
                  portrait: {
                    id: '44b3d4df-59a3-4ae8-837e-ac9ad1190d54',
                    url: 'some.url',
                    aspectRatio: 0.5,
                  },
                },
                title: 'Whatever',
              },
            ],
            roles: {
              '978c1a33-a6c3-4174-9929-3669a34dcf6a': ['profile-id-1', 'profile-id-2'],
              '1557cec2-d8c5-4e54-a980-a1e5f2883ee7': ['profile-id-2'],
              '176e2a86-4ae7-4b22-9c8c-632296dbb991': [
                'profile-that-is-organization-id-1',
                'profile-id-2',
              ],
            },
            roleTitles: {
              '978c1a33-a6c3-4174-9929-3669a34dcf6a': 'Some',
              '1557cec2-d8c5-4e54-a980-a1e5f2883ee7': 'People',
              '176e2a86-4ae7-4b22-9c8c-632296dbb991': 'Here',
            },
          }
        },
      },
    ],
    layout: {
      '8351eff2-d5ed-468d-a109-91f748629803': {
        id: '8351eff2-d5ed-468d-a109-91f748629803',
        creationDate: '2023-07-19T10:41:29.503Z',
        createdBy: 'author',
        modificationDate: '2023-07-19T10:41:29.503Z',
        items: [],
        transforms: [],
        resourceType: 'content/layout',
        mode: 'layout',
      },
    },
  },
};

Tests:

stringify-parse
JSON.parse(JSON.stringify(obj));
structuredClone
structuredClone(obj);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
stringify-parse
structuredClone

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

It seems like you have provided a lot of text data that doesn't directly ask for an answer, but rather seems to be some kind of test case or benchmarking output.

However, I'll try to identify the actual question being asked based on the data provided.

It appears that the data might be related to a JSON object and its performance under different serialization methods (JSON.parse(JSON.stringify(obj)), structuredClone(obj)). The "Html Preparation Code" field seems to be empty, which is unusual.

There are also some benchmark results listed, which include information about browsers, devices, operating systems, executions per second, and test names. These seem to be the results of some kind of performance testing.

If I had to guess, the question being asked might be related to identifying issues with the JSON object or its serialization methods based on the benchmark results.

However, without more context or information about what exactly is being asked, it's difficult for me to provide a specific answer. Can you please clarify or provide more details about the actual question?

Related benchmarks:

stringify-parse vs structuredClone (version: 0)

Comparing performance of: stringify-parse vs structuredClone

Created: 2 years ago by: Guest

Jump to the latest result

stringify-parse

structuredClone

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):