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The from clause is a comma-separated list of one or more tables, views, and so on (represented by the variable tables in Figure 3-3). If more than one table is specified, they will be combined to form a single relation (represented by R1 in Figure 3-3). This is done by one of the join operations. The resulting relation produced by from serves as the initial material. All subsequent operations will either work directly from it or work from derivatives of it. The where clause filters rows in R1. The argument of where is a predicate, or logical expression, which defines the selection criteria by which rows in R1 are included in (or excluded from) the result. The selected rows from the where clause form a new relation R2, as shown in Figure 3-3 above. In this particular example, R2 passes through the other operations unscathed until it reaches the select clause. The select clause filters the columns in R2, as depicted in Figure 3-4. Its argument consists of a comma-separated list of columns or expressions that define the result. This is called the projection list, or heading of the result.

As you ll see in 15, the data portal ultimately creates an instance of the object and invokes the DataPortal_Fetch() method. Normally, a child object wouldn t implement this method at all, but when using lazy loading, you do implement this method. The method is responsible for loading the child object with data from the database: Private Sub DataPortal_Fetch( _ ByVal criteria As SingleCriteria(Of ChildType, Integer)) MarkAsChild() ' load child with data from database End Sub The important thing to remember in this case is that you must call MarkAsChild() to indicate that this is a child object. You must do this manually because the data portal is being used to load the object here as though it were a root object. The data portal doesn t know to mark the object as a child automatically, so you must do it explicitly.

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Applications commonly retrieve read-only collections of objects. The CSLA .NET framework includes the ReadOnlyListBase class to help create read-only collections. It throws an exception any time there s an attempt to change which items are in the collection by adding or removing objects.

// Additional properties are not shown (e.g, Open, Last, etc.) } } Since you are no longer working with the XML Web service project type, you have lost your shortcut for generating a WSDL document directly from an .asmx service file. The StockTraderTypes.cs file can in fact be generated directly from the StockTrader.xsd schema file, which you are guaranteed to have; so technically you can do without a WSDL file when building a decoupled, TCP-based sender-receiver solution. But a WSDL file contains essential metadata information that is stored according to an established specification. You cannot build a WS-I compliant service without including a WSDL file. So by no means are we advocating that you build services without WSDL files. You cannot, because the service must be compliant with established specifications. If it is not compliant, then it is effectively unusable, because the WSDL file stores essential metadata information on the service that is required for widespread use by different clients. However, we are pointing out that if you bypass building a traditional .asmx Web service, you will be forced to manually generate the WSDL file. We expect that future releases of the .NET Framework will include alternate utilities for generating WSDL files. These will have to be made available once nonHTTP-based Web services become as common a service type as XML Web services are today.

Figure 3-4. Projection Here s a concrete example using our example database: sqlite> select id, name from food_types; id name ---------- ---------1 Bakery 2 Cereal 3 Chicken/Fowl 4 Condiments 5 Dairy 6 Dip 7 Drinks 8 Fruit 9 Junkfood 10 Meat 11 Rice/Pasta 12 Sandwiches 13 Seafood 14 Soup 15 Vegetables There is no where clause to filter rows, so all rows in the table food_types are returned. The select clause specifies all the columns in food_types, and the from clause does not join tables. The result is an exact copy of food_types. As in most SQL implementations, SQLite supports an asterisk (*) as shorthand to mean all columns. Thus, the previous example can just as easily be expressed as follows: select * from food_types;

The template shown here is for the most common scenario: a read-only root collection. You can adapt this to provide a read-only child collection if desired.

In summary, SQLite s basic select processing gathers all data to be considered in the from clause, filters rows (restricts) in the where clause, and filters columns (projects) in the select clause. Figure 3-5 shows this process.

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