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When it is not specified, the join column will have the same default column name as basic keys (the name of the relationship or element collection attribute, appended with the string _KEY ) To illustrate the case of an entity being used as a key, we can add the notion of the seniority an Employee has within a given Department We want to have a loose association between an Employee and his seniority; and the seniority has to be local to a Department By defining an element collection Map in Department, with the seniority as the values and Employee entities as the keys, the seniority any Employee has in a given Department can be looked up by using the Employee instance as a key The seniority is stored in a collection table, and if an Employee changes departments none of the other Employee objects needs to change.

One common application pattern we find ourselves developing over and over again is pagination through the result set of a database query. When we say pagination, we mean an interface in which the user sees part of the result set at a time, with navigation to go forward and backward through the results. A na ve pagination implementation might load the entire result set into memory for each navigation, with terrible performance results. Both of us worked on improving performance for separate projects with this problem. The problem appeared late in testing because the sample dataset that developers were working with was trivial, and they did not notice any performance problems until the first test data load. If you are programming directly to the database, you will typically use proprietary database SQL or database cursors to support paging. Hibernate abstracts this away for you behind the scenes, Hibernate uses the appropriate method for your database. There are two methods on the Criteria interface for paging: setFirstResult() and setMaxResults(). The setFirstResult() method takes an integer that represents the first row in your result set, starting with row 0. You can tell Hibernate to only retrieve a fixed number of objects with the setMaxResults() method. Using both of these together, we could construct a paging component in our web or Swing application. We have a very small dataset in our sample application, so here is an admittedly trivial example: Criteria crit = session.createCriteria(Product.class); crit.setFirstResult(1); crit.setMaxResults(2); List results = crit.list();

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With Spring you can develop business components as plain Java classes without any framework dependency. This is in complete contrast to the EJB programming model, which demands the implementation of several different interfaces along with deployment descriptors, making life complicated for the developer. The POJO business objects are all configured in the Spring IOC container just like any other bean shown in earlier examples. They are responsible for executing business rules, and in the process they manipulate application data using the data access API available in the integration tier. The Spring AOP module plays a significant role in the business tier. It can be used to declaratively apply and control transaction and security on the POJO business components. It is possible to utilize Spring AOP to develop custom aspects that collect audit trail information or instrument method execution time without affecting the existing application code. It is possible to develop a mixed solution with Spring POJO and EJBs. Spring IOC implements the service locator pattern (to be discussed in 4) to look up (pull DI) the EJB home interfaces and then injects those objects into the POJO business objects. Note that the system-level services provided by the EJB container are now available to the application. In this scenario, the Spring Framework played the role of an EJB client using a session bean. Spring also helps with EJB implementation through convenient superclasses. We will delve into this in greater detail as part of the Spring business layer patterns in 4.

The indirection of the collection table; and the fact that the connections between the Department, the Employee and the seniority value are all maintained by virtue of the Map, provide just the right level of coupling Only the entries in the collection table would need to be updated Listing 5-18 shows the element collection mapping, with the join column being overridden using the @MapKeyJoinColumn annotation and the Map value column being overridden using the standard @Column annotation Listing 5-18 Element Collection Map Keyed by EntityType @Entity public class Department { @Id private int id; private String name; // .. @ElementCollection @CollectionTable(name="EMP_SENIORITY") @MapKeyJoinColumn(name="EMP_ID") @Column(name="SENIORITY") private Map<Employee, Integer> seniorities; // ....

} Figure 5-7 shows that the collection table is nothing more than the values of the Map (the seniority) with a foreign key to the Department source entity table and another foreign key to the Employee entity key table.

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