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The WHERE clause also includes the criteria necessary to join the two tables together across the join columns defined by the phones mapping Note that the phones relationship has been mapped to the identification variable p Even though the Phone entity does not directly appear in the query, the target of the phones relationship is the Phone entity, and this determines the identification variable type This implicit determination of the identification variable type can take some getting used to Familiarity with how relationships are defined in the object model is necessary to navigate through a written query Each occurrence of p outside of the FROM clause now refers to a single phone owned by an employee Even though a collection association field was specified in the JOIN clause, the identification variable is really referring to entities reached by that association, not the collection itself.

The variable can now be used as if the Phone entity were listed directly in the FROM clause For example, instead of returning Phone entity instances, phone numbers can be returned instead: SELECT pnumber FROM Employee e JOIN ephones p In the definition of path expressions earlier, it was noted that a path couldn t continue from a state field or collection association field To work around this situation, the collection association field must be joined in the FROM clause so that a new identification variable is created for the path, allowing it to be the root for new path expressions..

public class UnderwritingApplicationServiceImpl implements UnderwritingApplicationService{ private PolicyDetailDao policyDetailDao; public void underwriteNewPolicy(String productCd, String name, int age) //business rules - here this.policyDetailDao.savePolicyDetails(productCd, name, age); } public PolicyDetailDao getPolicyDetailDao() {

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As you can see, projections open up aggregates to the criteria query API, which means developers do not have to drop into HQL for aggregates. Projections offer a way to work with data that is closer to the JDBC result set style, which may be appropriate for some parts of your application.

EJBQL as defined by the EJB 2.0 and EJB 2.1 specifications used a special operator IN in the FROM clause to map collection associations to identification variables. Support for this operator was carried over to JP QL. The equivalent form of the query used earlier in this section might be specified as

The IN operator is intended to indicate that the variable p is an enumeration of the phones collection. The JOIN operator is a more powerful and expressive way to declare relationships and is the recommended operator for queries.

return policyDetailDao; } public void setPolicyDetailDao(PolicyDetailDao policyDetailDao) { this.policyDetailDao = policyDetailDao; } }

Map types are very helpful, but they can be relatively complicated to properly configure. Once you reach that stage, however, the modeling capabilities that they offer and the loose association support that can be leveraged makes them ideal candidates for various kinds of relationships and element collections. As with the List, the preferred and most efficient use of a Map is to use an attribute of the target object as a key, making a Map of entities keyed by a basic attribute type the most common and useful. It will often solve most of the problems you encounter. A Map of basic keys and values can be a useful configuration for associating one basic object with another. Avoid using embedded objects in a Map, particularly as keys, because their identity is typically not defined. Embeddables in general should be treated with care and used only when absolutely necessary. Support for duplicate or null values in collections is not guaranteed, and is not recommended even when possible. They will cause certain types of operations on the collection type to be slower and more database-intensive, sometimes amounting to a combination of record deletion and insertion instead of simple updates.

Query By Example (QBE)

Note that the session facade invokes the application service, which in turn calls the DAO method. As a result, the DAO method automatically comes into the same transactional scope as the session bean method. So, there is no need for any programmatic transaction handling in the DAO. The JdbcDaoSupport object needs a data source to connect to and execute the SQL query. The data source object is generally registered in the application server s JNDI. The Spring service locator (explained in 4) will be used to look up the data source from the JNDI and inject it into the JdbcDaoSupport object. Finally, everything needs to be wired up by the configuration in the Spring application context associated with the stateless session bean, as shown in Listing 5-6. I am showing the application service and DAO in the same configuration so that you can understand and visualize the coupling between the two. However, for modularity, it is advised that you put them in separate configuration files.

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