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AVEVA™ Asset Information Management

View model validation

  • Last UpdatedAug 12, 2026
  • 2 minute read

Required field validation

  • Empty Field Check: Ensures all configured properties have non-empty values.

  • RegisterType: Must be specified and be one of: Primary, Secondary, Attributes, Associations, or Tracker.

  • Category: Must be specified and be one of: Tags, Docs, General, or Physical.

Identification configuration

  • IDColumn or IDExpression: At least one must be provided to uniquely identify records.

    If IDColumn is specified, it must reference a column that exists in the dataset headers.

  • NameColumn (optional): If provided, must reference a valid column in the dataset headers.

Register type-specific validation

For primary register type:

  • Class Definition: One of ClassColumn, ClassExpression, or ClassDefault must be provided.

    If ClassColumn is specified, it must reference a valid column in the dataset headers.

For attributes register type:

  • AttributeNameColumn: Required and must reference a valid column in the dataset headers.

  • AttributeValueColumn: Required and must reference a valid column in the dataset headers.

  • AttributeUnitsColumn (optional): If provided, must reference a valid column in the dataset headers.

For secondary, tracker, and associations register types:

  • No additional type-specific validation beyond common required fields.

Column reference validation

  • All column references (IDColumn, NameColumn, ClassColumn, and so on) are validated against the actual dataset headers.

  • If a referenced column was deleted or renamed, a validation error is reported.

  • Ensures data mapping integrity between configuration and actual dataset structure.

Dataset structure validation

  • For Attributes register type: Dataset must have defined columns or a file must be uploaded to provide column headers.

  • Validates that required column mapping fields are not left empty when columns are available.

The validation output provides detailed error messages for each issue found, including:

  • Which specific field has an error.

  • What the validation rule requires.

  • Whether a referenced column exists in the dataset headers.

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