Available with Data Reviewer license.
Summary
The Duplicate Feature check finds features of the same geometry type that are collocated and have matching attribute values.
Overview
The purpose of the Duplicate Feature check is to find features that contain duplicated geometry and attribute values. This can include the comparison of features stored in a different data source or in the same data source.
Industry scenarios
In water utility management, the Duplicate Feature check can be used to identify service points, system valves, and hydrants that contain stacked points located in the same location between two or more point features, for example, overlapping valves.
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 | Constraint | ||
---|---|---|---|
Reviewer batch job | Reviewer map rule | Attribute (validation) rule | No |
Yes | Yes | Yes (ArcGIS Pro 2.7 or later) |
Note:
Map-based Reviewer rules are deprecated as of ArcGIS Pro 2.8 and are no longer recommended for use. This functionality will be removed in the next major release of ArcGIS Pro. It is recommended that you migrate automated review workflows to Data Reviewer capabilities available in attribute rules.
Syntax
Parameter | Required | Description | Workflows |
---|---|---|---|
Input Feature Layers | Yes | The input feature layers evaluated by the rule. Valid inputs are point, polyline, and polygon features. | Validation (map rules) |
Features/Rows to Compare | Yes | Input features are returned as errors based on their relationship to the features from this data source. Valid inputs are point, polyline, and polygon features and must match the geometry type of the input data sources. | Validation |
Features to Compare Filter | No | A query that identifies the features to include in the rule. | Validation |
Attributes to Ignore | No | The attribute values to ignore when evaluating for duplicate features. Only editable fields common to both the input and Features to Compare data sources can be ignored. Common fields are those that share the same name and data type. | Validation (attribute rules) |
Compare selected attributes | No | The attribute values to compare when evaluating for duplicate features. Only editable fields common to all feature layers configured in the Input Layers parameter are displayed. Common fields are those that share the same name and data type. | Validation (map rules) |
Title | No | A unique title or name for the rule. This information is used to support data quality requirement traceability, automated reporting, and corrective workflows. | Validation |
Notes | No | A description you define of the error when a noncompliant feature is found. This information is used to provide guidance to facilitate 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:
- The data sources of the input features and Features/Rows to Compare parameter must share a common datum.
- M- and z-values are ignored when evaluating the geometry of input and comparison features.
- The following conditions apply when this check is authored as an attribute (validation) rule:
- The Validation Status attribute value of both the input features and data sources included in the Features/Rows to Compare parameter are ignored during evaluation. For example, input features with a validation status of 0 (No calculation required, no validation required, no error), 1 (No calculation required, no validation required, has error(s)), 4 (Calculation required, no validation required, no error), or 5 (Calculation required, no validation required, has error(s)) are still included during rule evaluation.
- When this check is authored as an attribute (validation) rule, the Attribute and Features to Compare Filter parameters are limited to comparison (=, <>, >, <, >=, <=) and logical (AND/OR, IN/NOT IN, LIKE/NOT LIKE, IS NULL) operators.
- Data sources for the Features/Rows to Compare parameter must include a global ID field.
- Include the data source for the Features/Rows to Compare parameter when sharing web layers with the Validation capability enabled.
- When this check is authored as a map-based rule, verify that the filter parameters using database-specific SQL functions are the same as from those supported in your production environment.