Comparison Rules allow users to construct business rules by comparing one Workflow Attribute against another attribute or a static value. They are widely used through the system to govern things such as:
- Workflow access controls
- Field visibility rules
- Data entry validation rules
- etc
Different comparison operators are supported for different data types:
= Supported / = Not supported
= Data type is optimized for bulk operations
Empty/ Not Empty | Equals/ Not Equal | True/ False | Greater / Less Than | Between | Contains Substring | Contains Item | Special behaviors | ||
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As of LearningBuilder 9.1, certain Comparison Rules can be evaluated directly in the database to dramatically improve performance of bulk operations.
In order for this optimization to occur, the Comparison Rule must:
- Target an Extrinsic attribute of a supported data type (see table above) or a supported Intrinsic attribute
- Be used in a feature that supports bulk optimization
As of 9.1, the features supporting bulk optimization are:
- Scheduled Workflow Behaviors
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Certain data types expose more than one value that can be targeted by a Comparison Rule. This is commonly seen in data types representing complex interactions or in "container" type attributes.
NOTE: Unless specially noted, rules targeting extended properties are NOT optimized for bulk operations, regardless of the data type.
TODO: Why does Container support Equal/Not Equal but not Empty/Not Empty?
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