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JPQL offers the ability to reference entity fields by name, and join with other entities through relationships, without regard to the underlying mapping details. This offers a fair degree of independence between the database schema definer and the query definer roles but there are times when you ll want to take control of the query to leverage specific indexes, return sparse data sets, or otherwise just issue a query that is more easily expressed in SQL. EJB 3 lets you do this easily, and even offers support for mapping the query results back to entities if you desire. As an example, you may wish to use a native SQL query to return just the name and primary key column data from a table that happens to map to one of your entities. The queried name values could then be presented to the user through a combo box, and only when the user chooses a name would you go out to the EntityManager and bind that name s corresponding primary key value to an entity instance, using the EntityManager. find(Object primaryKey) call. Had you used JPQL to return a collection of fully loaded entities, instead of just the sparse key and name data set, you would have queried more data fields than necessary, causing more resources to be consumed than were actually needed. The example in Listing 4-22, which you can find online at the Apress web site (www.apress.com), shows how to issue a native SQL query and then map the results back to entity instances, using an @SqlResultSetMapping declaration.

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DeleteTimePunch The DeleteTimePunch method calls the YourCompany_DeleteTimePunch stored procedure. You need to look at the stored procedure, and see if you need to adjust this method to correctly call it. Just as you did not change the stored procedure, you do not need to change this method. Leave it as is. That is all for this SqlDataProvider.vb file. The next file to change is the one that calls these methods the abstract data provider. You need to make sure that all the arguments are correct.

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// Example of native SQL usage. Assumes the following annotation has been // defined on one of the classes in the persistence unit: // // @SqlResultSetMapping(name = "EmployeeResults", // entities = { @EntityResult(entityClass = Employee.class, // discriminatorColumn = "TYPE" // )}) System.out.println("Using a native SQL query to find employees in the " + "department 'Magistry'..."); final List<Employee> employeesWithEmail = em.createNativeQuery("select o.id, o.type " + "from ch04_emb_person o where o.dept = 1", "EmployeeResults"). setParameter(1, "Magistry").getResultList();

With the new site migrated to the production server, the final step in the process is to create the production user accounts. I ll first delete all of the accounts that I created during the testing phase (with the exception of the administrator s account) and then add the required users and assign each user to the appropriate role. The site is now ready for visitors!

System.out.println("The following employees were found:"); for (Employee employee: employeesWithEmail) { System.out.println(employee.getFirstName()); System.out.println(employee.getLastName()); System.out.println(employee.getDept()); }

The abstract data provider is the DataProvider.vb file. In the Solution Explorer, scroll up until you find this file, as shown in Figure 7-15.

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When using an @SqlResultSetMapping to map the results back to entity classes, an implicit EntityManager.find(Object primaryKey) is performed to populate each entity instance. This is what allows us to see the firstName, lastName, and dept fields of the Employee instances (actually, its concrete subentity instances), even though they were not part of the native SQL query.

The abstract data provider includes some you guessed it abstract methods. These abstract methods are just blueprints for whatever class derives from this one. The definition of the SqlDataProvider class follows:

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