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A normal database view is just a named select statement that can be used from other select statements. These views have no particular impact on performance. Beginning with SQL Server 2000, you could create one or more indexes on a view because the view satisfies certain requirements. These requirements are quite extensive and can be found in Books Online under the heading Creating Indexed Views at http://msdn2.microsoft.com/en-us/ library/ms191432.aspx. By creating an index on a view, the view is materialized. This means that, in the logical sense, it is still a view, but now that view actually stores the data found in the view. If the data is changed in the tables on which the view is based, the view is automatically updated to reflect those changes. Creating indexed views can greatly improve read performance of queries. An important aspect of indexed views is that the query optimizer can automatically detect that an indexed view that satisfies a certain query exists and can use it, even if the indexed view is referenced in the query. This, however, is only true for SQL Server 2005 Enterprise Edition and Developer Edition. The following example shows a query and its execution plan (shown in Figure 7-14) without an indexed view:

A major objective of Hibernate is support for fine-grained domain models, which we isolated as the most important requirement for a rich domain model. It s one reason why we work with POJOs. In crude terms, fine-grained means more classes than tables. For example, a user may have both a billing address and a home address. In the database, you may have a single USERS table with the columns BILLING_STREET, BILLING_CITY, and BILLING_ZIPCODE, along with HOME_STREET, HOME_CITY, and HOME_ZIPCODE. (Remember the problem of SQL types we discussed in chapter 1 ) In the domain model, you could use the same approach, representing the two addresses as six string-valued properties of the User class. But it s much better to model this using an Address class, where User has the billingAddress and homeAddress properties, thus using three classes for one table. This domain model achieves improved cohesion and greater code reuse, and it s more understandable than SQL systems with inflexible type systems. In

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C. Incorrect: FileC.htm will be restored when Laherty restores the Monday backup. D. Correct: FileD.htm will not be restored. The archive bit will be set during the

FROM Production.Product AS p INNER JOIN Sales.SalesOrderDetail AS sod ON sod.ProductID = p.ProductID INNER JOIN Sales.SalesOrderHeader AS soh ON soh.SalesOrderID = sod.SalesOrderID WHERE soh.TerritoryID = 1;

the past, many ORM solutions didn t provide especially good support for this kind of mapping. Hibernate emphasizes the usefulness of fine-grained classes for implementing type safety and behavior. For example, many people model an email address as a string-valued property of User. A more sophisticated approach is to define an EmailAddress class, which adds higher-level semantics and behavior it may provide a sendEmail() method. This granularity problem leads us to a distinction of central importance in ORM. In Java, all classes are of equal standing all objects have their own identity and lifecycle. Let s walk through an example.

Two people live in the same apartment, and they both register user accounts in CaveatEmptor. Naturally, each account is represented by one instance of User, so you have two entity instances. In the CaveatEmptor model, the User class has a homeAddress association with the Address class. Do both User instances have a runtime reference to the same Address instance or does each User instance have a reference to its own Address If Address is supposed to support shared runtime references, it s an entity type. If not, it s likely a value type and hence is dependent on a single reference by an owning entity instance, which also provides identity. We advocate a design with more classes than tables: One row represents multiple instances. Because database identity is implemented by primary key value, some persistent objects won t have their own identity. In effect, the persistence mechanism implements pass-by-value semantics for some classes! One of the objects represented in the row has its own identity, and others depend on that. In the previous example, the columns in the USERS table that contain address information are dependent on the identifier of the user, the primary key of the table. An instance of Address is dependent on an instance of User. Hibernate makes the following essential distinction:

Figure 7-14

18-36

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