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NoCode-X JSON-datafile to data structure

Overview

This guide explains how to transform a JSON-datafile into a NoCode-X data structure using the "From JSON" feature. This process allows you to quickly import and structure your data without manually entering types, names, and rules. This works for resulting in a single or multiple JSON-data schemas.

Prerequisites​

  • Access to NoCode-X platform
  • A valid JSON-datafile

Example JSON-datafile​

{
    "studentId": "2024JD789",
    "firstName": "Jane",
    "lastName": "Doe",
    "email": "[email protected]",
    "telephone": "555-987-6543"
}

Expected Output

After successful generation, NoCode-X will create a data structure with:

  • Fields: firstName, lastName, email.
  • Proper data type assignments.

Step-by-Step Integration Process

Access Data Structure​

  • Navigate to the data structure section in NoCode-X.

Create New Structure​

  • Select the "From JSON" option.

Create data format using JSON

  • This opens the JSON import interface.

Name Your Structure​

  • Provide a meaningful name for your data structure.
  • Example: "StudentInformation".

Import JSON-datafile​

  • Copy your complete JSON-datafile.
  • Paste it into the provided text area.
  • Ensure the JSON-datafile is valid and properly formatted.

Generate Structure​

  • Click the "Generate" button.
  • The system will process your JSON schema.
  • Wait for the transformation to complete (typically a few seconds).

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Save Configuration​

  • Review the generated structure.
  • Click "SAVE" to finalize the integration.

Notes

  • The JSON-datafile must be valid and follow JSON schema draft-07 specifications.
  • All required fields will be automatically marked as mandatory in NoCode-X.
  • Field types will be mapped to corresponding NoCode-X data types.
  • Format validations (like email) will be preserved in the transformation.
  • If multiple JSON-schemas are required, these will be accordingly created.

Troubleshooting

If generation fails:

  • Verify JSON-datafile validity.
  • Check for proper formatting.
  • Ensure all required fields are correctly specified.
  • Confirm schema version compatibility.

More information on data format attributes can be found Data format