第80章 KIE sessions


In Red Hat Decision Manager, a KIE session stores and executes runtime data. The KIE session is created from a KIE base or directly from a KIE container if you have defined the KIE session in the KIE module descriptor file (kmodule.xml) for your project.

Example KIE session configuration in a kmodule.xml file

<kmodule>
  ...
  <kbase>
    ...
    <ksession name="KSession2_1" type="stateless" default="true" clockType="realtime">
    ...
  </kbase>
  ...
</kmodule>

A KIE base is a repository that you define in the KIE module descriptor file (kmodule.xml) for your project and contains all rules and other business assets in Red Hat Decision Manager, but does not contain any runtime data.

Example KIE base configuration in a kmodule.xml file

<kmodule>
  ...
  <kbase name="KBase2" default="false" eventProcessingMode="stream" equalsBehavior="equality" declarativeAgenda="enabled" packages="org.domain.pkg2, org.domain.pkg3" includes="KBase1">
    ...
  </kbase>
  ...
</kmodule>

A KIE session can be stateless or stateful. In a stateless KIE session, data from a previous invocation of the KIE session (the previous session state) is discarded between session invocations. In a stateful KIE session, that data is retained. The type of KIE session you use depends on your project requirements and how you want data from different asset invocations to be persisted.

80.1. Stateless KIE sessions

A stateless KIE session is a session that does not use inference to make iterative changes to facts over time. In a stateless KIE session, data from a previous invocation of the KIE session (the previous session state) is discarded between session invocations, whereas in a stateful KIE session, that data is retained. A stateless KIE session behaves similarly to a function in that the results that it produces are determined by the contents of the KIE base and by the data that is passed into the KIE session for execution at a specific point in time. The KIE session has no memory of any data that was passed into the KIE session previously.

Stateless KIE sessions are commonly used for the following use cases:

  • Validation, such as validating that a person is eligible for a mortgage
  • Calculation, such as computing a mortgage premium
  • Routing and filtering, such as sorting incoming emails into folders or sending incoming emails to a destination

For example, consider the following driver’s license data model and sample DRL rule:

Data model for driver’s license application

public class Applicant {
  private String name;
  private int age;
  private boolean valid;
  // Getter and setter methods
}

Sample DRL rule for driver’s license application

package com.company.license

rule "Is of valid age"
when
  $a : Applicant(age < 18)
then
  $a.setValid(false);
end

The Is of valid age rule disqualifies any applicant younger than 18 years old. When the Applicant object is inserted into the decision engine, the decision engine evaluates the constraints for each rule and searches for a match. The "objectType" constraint is always implied, after which any number of explicit field constraints are evaluated. The variable $a is a binding variable that references the matched object in the rule consequence.

注記

The dollar sign ($) is optional and helps to differentiate between variable names and field names.

In this example, the sample rule and all other files in the ~/resources folder of the Red Hat Decision Manager project are built with the following code:

Create the KIE container

KieServices kieServices = KieServices.Factory.get();

KieContainer kContainer = kieServices.getKieClasspathContainer();

This code compiles all the rule files found on the class path and adds the result of this compilation, a KieModule object, in the KieContainer.

Finally, the StatelessKieSession object is instantiated from the KieContainer and is executed against specified data:

Instantiate the stateless KIE session and enter data

StatelessKieSession kSession = kContainer.newStatelessKieSession();

Applicant applicant = new Applicant("Mr John Smith", 16);

assertTrue(applicant.isValid());

ksession.execute(applicant);

assertFalse(applicant.isValid());

In a stateless KIE session configuration, the execute() call acts as a combination method that instantiates the KieSession object, adds all the user data and executes user commands, calls fireAllRules(), and then calls dispose(). Therefore, with a stateless KIE session, you do not need to call fireAllRules() or call dispose() after session invocation as you do with a stateful KIE session.

In this case, the specified applicant is under the age of 18, so the application is declined.

For a more complex use case, see the following example. This example uses a stateless KIE session and executes rules against an iterable list of objects, such as a collection.

Expanded data model for driver’s license application

public class Applicant {
  private String name;
  private int age;
  // Getter and setter methods
}

public class Application {
  private Date dateApplied;
  private boolean valid;
  // Getter and setter methods
}

Expanded DRL rule set for driver’s license application

package com.company.license

rule "Is of valid age"
when
  Applicant(age < 18)
  $a : Application()
then
  $a.setValid(false);
end

rule "Application was made this year"
when
  $a : Application(dateApplied > "01-jan-2009")
then
  $a.setValid(false);
end

Expanded Java source with iterable execution in a stateless KIE session

StatelessKieSession ksession = kbase.newStatelessKnowledgeSession();
Applicant applicant = new Applicant("Mr John Smith", 16);
Application application = new Application();

assertTrue(application.isValid());
ksession.execute(Arrays.asList(new Object[] { application, applicant }));  
1

assertFalse(application.isValid());

ksession.execute
  (CommandFactory.newInsertIterable(new Object[] { application, applicant }));  
2


List<Command> cmds = new ArrayList<Command>();  
3

cmds.add(CommandFactory.newInsert(new Person("Mr John Smith"), "mrSmith"));
cmds.add(CommandFactory.newInsert(new Person("Mr John Doe"), "mrDoe"));

BatchExecutionResults results = ksession.execute(CommandFactory.newBatchExecution(cmds));
assertEquals(new Person("Mr John Smith"), results.getValue("mrSmith"));

1
Method for executing rules against an iterable collection of objects produced by the Arrays.asList() method. Every collection element is inserted before any matched rules are executed. The execute(Object object) and execute(Iterable objects) methods are wrappers around the execute(Command command) method that comes from the BatchExecutor interface.
2
Execution of the iterable collection of objects using the CommandFactory interface.
3
BatchExecutor and CommandFactory configurations for working with many different commands or result output identifiers. The CommandFactory interface supports other commands that you can use in the BatchExecutor, such as StartProcess, Query, and SetGlobal.

80.1.1. Global variables in stateless KIE sessions

The StatelessKieSession object supports global variables (globals) that you can configure to be resolved as session-scoped globals, delegate globals, or execution-scoped globals.

  • Session-scoped globals: For session-scoped globals, you can use the method getGlobals() to return a Globals instance that provides access to the KIE session globals. These globals are used for all execution calls. Use caution with mutable globals because execution calls can be executing simultaneously in different threads.

    Session-scoped global

    import org.kie.api.runtime.StatelessKieSession;
    
    StatelessKieSession ksession = kbase.newStatelessKieSession();
    
    // Set a global `myGlobal` that can be used in the rules.
    ksession.setGlobal("myGlobal", "I am a global");
    
    // Execute while resolving the `myGlobal` identifier.
    ksession.execute(collection);

  • Delegate globals: For delegate globals, you can assign a value to a global (with setGlobal(String, Object)) so that the value is stored in an internal collection that maps identifiers to values. Identifiers in this internal collection have priority over any supplied delegate. If an identifier cannot be found in this internal collection, the delegate global (if any) is used.
  • Execution-scoped globals: For execution-scoped globals, you can use the Command object to set a global that is passed to the CommandExecutor interface for execution-specific global resolution.

The CommandExecutor interface also enables you to export data using out identifiers for globals, inserted facts, and query results:

Out identifiers for globals, inserted facts, and query results

import org.kie.api.runtime.ExecutionResults;

// Set up a list of commands.
List cmds = new ArrayList();
cmds.add(CommandFactory.newSetGlobal("list1", new ArrayList(), true));
cmds.add(CommandFactory.newInsert(new Person("jon", 102), "person"));
cmds.add(CommandFactory.newQuery("Get People" "getPeople"));

// Execute the list.
ExecutionResults results = ksession.execute(CommandFactory.newBatchExecution(cmds));

// Retrieve the `ArrayList`.
results.getValue("list1");
// Retrieve the inserted `Person` fact.
results.getValue("person");
// Retrieve the query as a `QueryResults` instance.
results.getValue("Get People");

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