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The first step to building DAOs with Spring is to declare interfaces for the DAOs. This follows program to interface (P2I), as described earlier, as an object design best practice. It lays out a contract with the clients that deal with the concrete implementations only through these interfaces. As a result, it is easy to swap or modify implementation classes. Listing 5-3 shows the DAO interface for the policy details.

being decided by the project itself. Hibernate, and indeed any open source project, would likely be suffocated. Although standardization might not be valued by the consultant or the five-person software shop, to a corporation it is huge. Software technologies are a big investment for most corporate IT shops, and risk must be measured when large sums of money are involved. Using a standard technology reduces that risk substantially and allows the corporation to be able to switch vendors if the initial choice turns out not to have met the need. Besides portability, the value of standardizing a technology is manifested in all sorts of other areas as well. Education, design patterns, and industry communication are just some of the many benefits that standards bring to the table.

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Instead of working with objects from the result set, you can use the results from the result set as a set of rows and columns. This is similar to how you would use data from a SELECT query with JDBC, and Hibernate supports properties, aggregate functions, and group by. Projections are a new feature for the criteria query API in version 3. To use projections, start by getting the org.hibernate.criterion.Projection object you need from the org.hibernate.criterion.Projections factory class. Similar to the Restrictions class, Projections has several static factory methods for obtaining Projection instances. After you get a Projection object, add it to your Criteria object with the setProjection() method. When the Criteria executes, the list contains objects that you can cast to the appropriate class. The simplest example of projections is the row counting functionality. The code looks similar to the restrictions we were working with earlier in the chapter: Criteria crit = session.createCriteria(Product.class); crit.setProjection(Projections.rowCount()); List results = crit.list(); The results list will contain one object, an Integer that contains the results of executing the COUNT SQL statement. Other aggregate functions available through the Projections factory class include the following: avg(String propertyName): The average of a property s value count(String propertyName): Counts the number of times a property has a value countDistinct(String propertyName): Counts the number of unique values the property contains max(String propertyName): The maximum value of the property values min(String propertyName): The minimum value of the property values sum(String propertyName): The sum total of the property values

The Java Persistence API is a lightweight, POJO-based framework for Java persistence. Although object-relational mapping is a major component of the API, it also offers solutions to the architectural challenges of integrating persistence into scalable enterprise applications. In the following sections we will look at the evolution of the specification and provide an overview of the major aspects of this technology.

package com.apress.einusre.persistence.dao.api; public interface PolicyDetailDao { String SAVE_POLICY_DETAILS_SQL = " insert into T_POLICY_DETAIL values(T_POLICY_DETAIL_SEQ.nextval, , , )"; public void savePolicyDetails(String productCd, String name, int age); }

The Java Persistence API is remarkable not only for what it offers developers but also for the way in which it came to be. The following sections outline the prehistory of object-relational persistence solutions and the genesis of JPA.

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