SpringData环境搭建代码编写

首先我们在前面的两节已经了解了SpringData是干什么用的？那我们从这节开始我们就开始编码测试SpringData.

1:首先我们从配置文件开始，我们首先需要写一个连接数据库的文件db.properties:

jdbc.user=root
jdbc.password=root
jdbc.driverClass=com.mysql.jdbc.Driver
jdbc.jdbcUrl=jdbc:mysql:///jpa

2:因为SpringData 是Spring的一个子项目，我们需要配置Spring的配置文件applicationContext.xml

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xmlns:context="http://www.springframework.org/schema/context"
	xmlns:tx="http://www.springframework.org/schema/tx"
	xmlns:jpa="http://www.springframework.org/schema/data/jpa"
	xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
		http://www.springframework.org/schema/data/jpa http://www.springframework.org/schema/data/jpa/spring-jpa-1.3.xsd
		http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-4.0.xsd
		http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-4.0.xsd">

	<!-- 配置自动扫描的包 -->
	<context:component-scan base-package="com.fxr.springdata"></context:component-scan>

	<!-- 1. 配置数据源 -->
	<context:property-placeholder location="classpath:db.properties"/>

	<bean id="dataSource"
		class="com.mchange.v2.c3p0.ComboPooledDataSource">
		<property name="user" value="${jdbc.user}"></property>
		<property name="password" value="${jdbc.password}"></property>	
		<property name="driverClass" value="${jdbc.driverClass}"></property>
		<property name="jdbcUrl" value="${jdbc.jdbcUrl}"></property>
		
		<!-- 配置其他属性 -->
	</bean>

	<!-- 2. 配置 JPA 的 EntityManagerFactory -->
	<bean id="entityManagerFactory" 
		class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean">
		<property name="dataSource" ref="dataSource"></property>
		<property name="jpaVendorAdapter">
			<bean class="org.springframework.orm.jpa.vendor.HibernateJpaVendorAdapter"></bean>
		</property>
		<property name="packagesToScan" value="com.fxr.springdata"></property>
		<property name="jpaProperties">
			<props>
				<!-- 二级缓存相关 -->
				<!--  
				<prop key="hibernate.cache.region.factory_class">org.hibernate.cache.ehcache.EhCacheRegionFactory</prop>
				<prop key="net.sf.ehcache.configurationResourceName">ehcache-hibernate.xml</prop>
				-->
				<!-- 生成的数据表的列的映射策略 -->
				<prop key="hibernate.ejb.naming_strategy">org.hibernate.cfg.ImprovedNamingStrategy</prop>
				<!-- hibernate 基本属性 -->
				<prop key="hibernate.dialect">org.hibernate.dialect.MySQL5InnoDBDialect</prop>
				<prop key="hibernate.show_sql">true</prop>
				<prop key="hibernate.format_sql">true</prop>
				<prop key="hibernate.hbm2ddl.auto">update</prop>
			</props>
		</property>
	</bean>

	<!-- 3. 配置事务管理器 -->
	<bean id="transactionManager"
		class="org.springframework.orm.jpa.JpaTransactionManager">
		<property name="entityManagerFactory" ref="entityManagerFactory"></property>	
	</bean>

	<!-- 4. 配置支持注解的事务 -->
	<tx:annotation-driven transaction-manager="transactionManager"/>

	<!-- 5. 配置 SpringData -->
	<!-- 加入  jpa 的命名空间 -->
	<!-- base-package: 扫描 Repository Bean 所在的 package -->
	<jpa:repositories base-package="com.fxr.springdata"
		entity-manager-factory-ref="entityManagerFactory"></jpa:repositories>

</beans>

3:首先我们需要测试配置的文件对不对，我们测试配置的数据源对不对

package com.fxr.test;

import java.sql.SQLException;

import javax.sql.DataSource;

import org.junit.Test;
import org.springframework.context.ApplicationContext;
import org.springframework.context.support.ClassPathXmlApplicationContext;

import com.fxr.springdata.PersonRepsotory;

public class SpringDataTest {

	private ApplicationContext ctx = null;
	private PersonRepsotory personRepsotory;
	
	{
		ctx = new ClassPathXmlApplicationContext("applicationContext.xml");
		personRepsotory = ctx.getBean(PersonRepsotory.class);
	}
	
	//测试配置的数据源成功没有成功
	@Test
	public void testDataSource() throws SQLException{
		DataSource dataSource = ctx.getBean(DataSource.class);
		System.out.println(dataSource.getConnection());
	}
	
	
	
	
	
}

4：如果运行过给我们自动创建了数据表，就说明我们的数据源已经配置成功。