Basics

The dependency network is an internal data structure that supports forward chaining or automatic recalculation of certain property values based on changes to other property values.

You can establish required relationships among properties using a Declare Expression, Constraints, or Declare Index rule. Such rules are sometimes known as declarations. When an activity step changes the value or a property that is involved in a declaration, the system automatically consults the dependency network to see if other values are affected.

Because properties and declarations are rules, the dependency network for a requestor depends on that requestor's RuleSet list.

Operation of the dependency network is invisible and automatic; this can make dependencies difficult to test and debug.

Declarative Network display

Using Declare Expression rules, you can review the structure of dependencies defined. An example of this display appears at the right, for the property pxUrgencyWork. You can access from:

• The Policy Decisions slice (), for target properties in the current application. See About the Declarative Network display.
• The Advanced tab of the Property form, for Single Value properties. See Property form — Working with the Explore window.
• A work object form, using the Rules Inspector tool. See Using the Rules Inspector.
• The Declare Expression form, using the Run toolbar button (). See Unit testing a Declare Expression rule.

PegaSample

The PegaSample sample application includes two properties that demonstrate Declare Expression rules, pyWorkListDateTime1 and Deadline. Three other standard Declare Expression rules apply to the Work- base class.

	backward chaining, declaration, forward chaining, sample application
	About Constraints rules About Declare Expression rules About Declare Index rules Declarative processing — Concepts and terms Unit testing a declare expression rule

Definitions — D