Available with ArcGIS Pro Standard and Data Reviewer licenses.
Summary
The Domain check finds features that contain attribute values that do not comply with domain constraints. This includes numeric values that are greater or less than those specified in a range domain and attribute values that are not found in a coded value domain.
Supported workflows
ArcGIS Data Reviewer checks support multiple methods for implementing automated review of data. The following table identifies the supported implementation methods for this check:
| Validation attribute rule | Constraint attribute rule | |
|---|---|---|
|
Yes (ArcGIS Pro 2.7 and ArcGIS Enterprise 10.9 or later) | No | |
Legacy:
Map-based Reviewer rules are deprecated and are no longer available for use. It is recommended that you migrate automated review workflows to Data Reviewer capabilities available in attribute rules. Opening or saving a map document (.aprx file) at ArcGIS Pro 3.0 or later removes all the existing map rules from the document.
Overview
The Domain check identifies range or coded value domain values outside the domain constraints. Attribute field domains can either be coded values or ranges. When a value is entered, especially if the field is a range field, the value can be greater or less than the allowed values. This is especially true if validation was not performed when attributes were edited. In addition, if data has been loaded from an external source, features may exist that violate both range and coded value domains.
Industry scenarios
This check can be used in the following scenarios:
- In topographic mapping, elevation contours with invalid values in the domain-restricted Hypsography Portrayal Type (HQC) attribute impact cartographic production when symbolizing features.
- In water utility management, incorrect values in the diameter properties of features such as water mains and lateral lines can impact the results of hydraulic modeling of the utility network.
Syntax
| Parameter | Required | Description | Workflow |
|---|---|---|---|
Subtype | No | The subtype to which the rule is applied. |
Validation |
Attribute | No | A query that identifies the features to which the rule is applied. | Validation |
Attributes to Ignore | No | The attribute values to ignore during evaluation. Only editable fields can be ignored. | Validation |
Search for Null Values | No | Attribute values that are <Null> are returned as an error. | Validation |
Name | Yes | A unique name for the rule. This information is used to support data quality requirement traceability, automated reporting, and corrective workflows. | Validation |
Description | No | A description of the error you define when a noncompliant feature is found. This information is used to provide guidance for corrective workflows. | Validation |
Severity | No | The severity of the error assigned when a noncompliant feature is found. This value indicates the importance of the error relative to other errors. Values range from 1 to 5, with 1 being the highest priority and 5 being the lowest. | Validation |
Tags | No | The tag property of the rule. This information is used in rule authoring and management workflows to support traceability and reporting of data quality requirements. | Validation |
Notes
Keep the following in mind when using the check:
- Features or table records that are assigned to a subtype are evaluated based on the domains defined by the subtype.
- Features or table records assigned to an invalid subtype are not evaluated by this check. Use the Subtype check to find features assigned to invalid subtypes and correct them before using this check.
- The Attribute filter parameter is limited to comparison (=, <>, >, <, >=, and <=) and logical (AND/OR, IN/NOT IN, LIKE/NOT LIKE, and IS NULL) operators.
- An error message states that the fields only support 256 characters. If you are using hundreds of fields with the check, break them up with multiple domain rules using the Attributes to Ignore parameter.
- The Attribute and the Attributes to Ignore filter parameters do not support the following field types: Big Integer, Date Only, Time Only, and Timestamp Offset.