Algorithmic Sets
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				Version vom 8. November 2014, 10:12 Uhr von Mkurz  (Diskussion | Beiträge)
				
			Definition Algorithmic Set
- We want to define an algorithmic set via a Predicate deciding if an element is part of the set or not.
 - In java we could use the functional interface Predicate<T>
 
public interface Predicate<T>{
       // If test returns true, we consider the element be part of the algorithmic set.
       boolean test(T element);
}
- Such a simple definition allows a polymorphic approach for defining set predicates.
 - So if a new predicate is needed only a new implementation of Predicate<T> needs to be implemented.
 - These Predicate<T> implementations can introduce configurable properties, for a more flexible solution.
 - Definition: An algorithmic set is defined by its predicate instance.
 
Performance considerations
- This approach is only reasonable if all tested elements are in memory, querying them from a database would be at least suboptimal.
 
Algorithmic sets and Notifications
- We want to define the receivers of a notification with an algorithmic set.
 - This means every Notification has an algorithmic set of receivers attached to it.
 - How this algorithmic set of receivers is attached is not part of this article.
 - For identifying a receiver, we introduce a ConnectedClientTupel of the form:
 
public class ConnectedClientTupel{
    public Computer getComputer(); // Including the Platz.
    public User getUser(); // Including the role.
    ... // Will grow in the future.
}
- So the Predicate for Notification receivers would have the form:
 
public interface NotificationReceiverPredicate extends Predicate<ConnectedClientTupel>
{
}
- Every connected client queries its notifications via a REST interface.
 
- If the amount of different algorithmic sets is relatively low (this is often the case), it makes sense to group