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A read-only child collection is virtually identical to a read-only root collection. The differences are in the factory methods and data access. <Serializable()> _ Public Class ReadOnlyChildList Inherits ReadOnlyListBase(Of ReadOnlyChildList, ReadOnlyChild) #Region "Authorization Rules" Private Shared Sub AddObjectAuthorizationRules() ' TODO: add authorization rules 'AuthorizationRules.AllowGet(GetType(ReadOnlyChildList), "Role") End Sub #End Region #Region "Factory Methods" Friend Shared Function GetReadOnlyChildList(ByVal childData _ As Object) As ReadOnlyChildList Return DataPortal.FetchChild(Of ReadOnlyChildList)(childData) End Function Private Sub New() ' require use of factory methods End Sub #End Region #Region "Data Access" Private Sub Child_Fetch(ByVal childData As Object) RaiseListChangedEvents = False IsReadOnly = False ' TODO: load values For Each child In DirectCast(childData, List(Of Object)) Add(ReadOnlyChild.GetReadOnlyChild(child)) Next IsReadOnly = True RaiseListChangedEvents = True End Sub #End Region End Class The Friend factory method calls the FetchChild() data portal method, which in turn calls Child_Fetch(). Notice that the parent object is assumed to be providing some object containing all the data necessary to load the collection s child objects.

Although Listing 8-7 was developed for the TCP protocol, all you need to do to enable it for HTTP is to modify the URI of the SoapReceiver response endpoint, from soaptcp://{endpoint} to http://{virtual directory}..

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The dog is the subject, and the predicate consists of the two assertions (color is purple and grin is toothy). This statement may be true or false, depending on the dog. The subject in the where clause is a row. The row is the logical subject. The WHERE clause is the logical predicate. Each row in which the proposition evaluates to true is included (or selected) as part of the result (R2). Each row in which it is false is excluded. So, the dog proposition translated into a relational equivalent would look something like this: select * from dogs where color='purple' and grin='toothy'; The database will take each row in table dogs (the subject) and apply the where clause (the predicate) to form the logical proposition: This row has color='purple' and grin='toothy'. If it is true, then the row (or dog) is indeed purple and toothy, and it is included in the result. where is a powerful filter. It provides you with a great degree of control over the conditions with which to include (or exclude) rows in (or from) the result.

The end result is that the child object is created or retrieved on demand, using lazy loading. At this point you should understand how an editable object can act as a parent or a child and how a parent object manages the references to its child objects. In the next section, I discuss how this works when the parent object is an editable collection.

Editable collections are created by inheriting from BusinessListBase, as discussed in s 4 and 5. By definition, a collection is a parent because it contains the items in the collection. To a large degree, the interactions between parent and child objects discussed already in this chapter also apply when the parent is a collection. For example, the BusinessListBase class implements the IParent interface. And BusinessListBase calls SetParent() as each child object is added to the collection or when the collection is deserialized. The same benefits and features I ve already discussed apply to collections as well as editable objects. However, editable collections provide some different behaviors as well, most notably around how items are deleted from the collection and how child events are cascaded up as ListChanged events from the collection (especially after the deserialization of the collection).

Values represent some kind of data in the real world. Values can be classified by their type, such as a numerical value (1, 2, 3, and so on) or string value ( JujyFruit ). Values can be expressed as literal values (an explicit quantity such as 1, 2, 3 or JujyFruit ), variables (often in the form of column names like foods.name), expressions (3+2/5), or the results of functions (count(foods.name)) which are covered later.

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