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<bean id="entityManagerFactory" class="org.springframework.orm.jpa. LocalContainerEntityManagerFactoryBean"> <property name="persistenceUnitName" value="course" /> <property name="dataSource" ref="dataSource" /> <property name="jpaVendorAdapter"> <bean class="org.springframework.orm.jpa.vendor. HibernateJpaVendorAdapter"> <property name="databasePlatform" value="org.hibernate.dialect.DerbyDialect" /> <property name="showSql" value="true" /> <property name="generateDdl" value="true" /> </bean> </property> </bean> </beans> In the preceding bean configurations, you inject a data source into this entity manager factory. It will override the database settings in the JPA configuration file. You can set a JPA vendor adapter to LocalContainerEntityManagerFactoryBean to specify JPA engine specific properties. With Hibernate as the underlying JPA engine, you should choose HibernateJpaVendorAdapter. Other properties that are not supported by this adapter can be specified in the jpaProperties property. Now your JPA configuration file (i.e., persistence.xml) can be simplified as follows because its configurations have been ported to Spring: <persistence ...> <persistence-unit name="course" /> </persistence>

import org.apache.activemq.ActiveMQConnectionFactory; import org.apache.activemq.command.ActiveMQQueue;

When using an ORM framework on its own, you have to repeat certain routine tasks for each DAO operation. For example, in a DAO operation implemented with Hibernate or JPA, you have to open and close a session or an entity manager, and begin, commit, and roll back a transaction with the native API.

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Scheduling development for software projects should be very easy. Unless you ve introduced the kinds of artificial dependencies that we discussed earlier, you can parallelize the tasks to your heart s content. That would get your new product into the marketplace awfully fast, wouldn t it If five developers can develop the software in 10 weeks, then 50 developers could finish it in a week. Or could they The Mythical Man-Month is one of the most widely read computer science books. In it, Fred Brooks [1995] presents his central argument, which is that large programming projects suffer management problems that are qualitatively

public class BackOfficeImpl implements BackOffice { public Mail receiveMail() { ConnectionFactory cf = new ActiveMQConnectionFactory("tcp://localhost:61616"); Destination destination = new ActiveMQQueue("mail.queue"); Connection conn = null; try { conn = cf.createConnection(); Session session = conn.createSession(false, Session.AUTO_ACKNOWLEDGE); MessageConsumer consumer = session.createConsumer(destination); conn.start(); MapMessage message = (MapMessage) consumer.receive(); Mail mail = new Mail(); mail.setMailId(message.getString("mailId")); mail.setCountry(message.getString("country")); mail.setWeight(message.getDouble("weight")); session.close(); return mail; } catch (JMSException e) { throw new RuntimeException(e); } finally { if (conn != null) { try { conn.close(); } catch (JMSException e) { } } } } } Most of the code in this method is similar to that for sending JMS messages, except that you create a message consumer and receive a JMS message from it. Finally, you create two bean configuration files one for the front desk subsystem (e.g., beans-front.xml), and one for the back office subsystem (e.g., beans-back.xml) in the root of the classpath. <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd">

Spring s approach to simplifying an ORM framework s usage is the same as JDBC s by defining template classes and DAO support classes. Also, Spring defines an abstract layer on top of different transaction management APIs. For different ORM frameworks, you only have to pick up a corresponding transaction manager implementation. Then you can manage transactions for them in a similar way. In Spring s data access module, the support for different data access strategies is consistent. Table 3-4 compares the support classes for JDBC, Hibernate, and JPA.

<bean id="frontDesk" class="com.apress.springrecipes.post.FrontDeskImpl" /> </beans> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd"> <bean id="backOffice" class="com.apress.springrecipes.post.BackOfficeImpl" /> </beans> Now your front desk and back office subsystems are ready to send and receive JMS messages. You must start up your message broker before sending and receiving messages with the following main classes.

s Note To start ActiveMQ, you just execute one of the ActiveMQ startup scripts (located in the bin directory) for your operating system.

The Spring IoC container can help you to wire your beans automatically. You only have to specify the auto-wiring mode in the autowire attribute of <bean>. Table 1-1 lists the auto-wiring modes supported by Spring. Table 1-1. Auto-Wiring Modes Supported by Spring

package com.apress.springrecipes.post; import org.springframework.context.ApplicationContext; import org.springframework.context.support.ClassPathXmlApplicationContext; public class FrontDeskMain { public static void main(String[] args) { ApplicationContext context = new ClassPathXmlApplicationContext("beans-front.xml"); FrontDesk frontDesk = (FrontDesk) context.getBean("frontDesk"); frontDesk.sendMail(new Mail("1234", "US", 1.5)); } } package com.apress.springrecipes.post; import org.springframework.context.ApplicationContext; import org.springframework.context.support.ClassPathXmlApplicationContext; public class BackOfficeMain {

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