Data Schema

Using JSON Schemas for Data Validation

JSON Schema is a powerful tool for data validation and description. It describes the structure and rules that a JSON data object must adhere to. Using JSON schemas in a microservices architecture helps in validating the data being exchanged between services.

Key Features of JSON Schema:

• Type validation: Ensures values in a data object are of expected types (e.g., strings, numbers, booleans).

• Presence validation: Checks for mandatory fields within a data object.

• Format validation: Validates formats of the data (e.g., date-time formats, email addresses).

• Constraint validation: Enforces restrictions like minimum/maximum values or string patterns.

Example Data Schema

{
  "type": "object",
  "properties": {
    "userId": {
      "type": "integer",
      "description": "The unique identifier for a user."
    },
    "email": {
      "type": "string",
      "format": "email",
      "description": "The user's email address."
    },
    "signupDate": {
      "type": "string",
      "format": "date-time",
      "description": "The date and time when the user registered."
    }
  },
  "required": ["userId", "email", "signupDate"]
}