spring data jpa对jpa进行了一次完整的封装
JPA是一套规范,内部是有接口和抽象类组成的。hibernate是一套成熟的ORM框架,而且Hibernate实现了JPA规范,所以也可以称hibernate为JPA的一种实现方式,我们使用JPA的API编程,意味着站在更高的角度上看待问题(面向接口编程)Spring Data JPA是Spring提供的一套对JPA操作更加高级的封装,是在JPA规范下的专门用来进行数据持久化的解决方案。
Spring Data JPA 是 Spring 基于 ORM 框架、JPA 规范的基础上封装的一套JPA应用框架,可使开发者用极简的代码即可实现对数据库的访问和操作。它提供了包括增删改查等在内的常用功能,且易于扩展!学习并使用 Spring Data JPA 可以极大提高开发效率!
<properties> <spring.version>4.2.4.RELEASE</spring.version> <hibernate.version>5.0.7.Final</hibernate.version> <slf4j.version>1.6.6</slf4j.version> <log4j.version>1.2.12</log4j.version> <c3p0.version>0.9.1.2</c3p0.version> <mysql.version>5.1.6</mysql.version> </properties> <dependencies> <!-- junit单元测试 --> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>4.9</version> <scope>test</scope> </dependency> <!-- spring beg --> <dependency> <groupId>org.aspectj</groupId> <artifactId>aspectjweaver</artifactId> <version>1.6.8</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-aop</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-context</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-context-support</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-orm</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-beans</artifactId> <version>${spring.version}</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-core</artifactId> <version>${spring.version}</version> </dependency> <!-- spring end --> <!-- hibernate beg --> <dependency> <groupId>org.hibernate</groupId> <artifactId>hibernate-core</artifactId> <version>${hibernate.version}</version> </dependency> <dependency> <groupId>org.hibernate</groupId> <artifactId>hibernate-entitymanager</artifactId> <version>${hibernate.version}</version> </dependency> <dependency> <groupId>org.hibernate</groupId> <artifactId>hibernate-validator</artifactId> <version>5.2.1.Final</version> </dependency> <!-- hibernate end --> <!-- c3p0 beg --> <dependency> <groupId>c3p0</groupId> <artifactId>c3p0</artifactId> <version>${c3p0.version}</version> </dependency> <!-- c3p0 end --> <!-- log end --> <dependency> <groupId>log4j</groupId> <artifactId>log4j</artifactId> <version>${log4j.version}</version> </dependency> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-api</artifactId> <version>${slf4j.version}</version> </dependency> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-log4j12</artifactId> <version>${slf4j.version}</version> </dependency> <!-- log end --> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>${mysql.version}</version> </dependency> <dependency> <groupId>org.springframework.data</groupId> <artifactId>spring-data-jpa</artifactId> <version>1.9.0.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-test</artifactId> <version>4.2.4.RELEASE</version> </dependency> <!-- el beg 使用spring data jpa 必须引入 --> <dependency> <groupId>javax.el</groupId> <artifactId>javax.el-api</artifactId> <version>2.2.4</version> </dependency> <dependency> <groupId>org.glassfish.web</groupId> <artifactId>javax.el</artifactId> <version>2.2.4</version> </dependency> <!-- el end --> </dependencies>
整合Spring Data JPA与Spring
<?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:aop="http://www.springframework.org/schema/aop" xmlns:context="http://www.springframework.org/schema/context" xmlns:jdbc="http://www.springframework.org/schema/jdbc" xmlns:tx="http://www.springframework.org/schema/tx" xmlns:jpa="http://www.springframework.org/schema/data/jpa" xmlns:task="http://www.springframework.org/schema/task" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd http://www.springframework.org/schema/jdbc http://www.springframework.org/schema/jdbc/spring-jdbc.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx.xsd http://www.springframework.org/schema/data/jpa http://www.springframework.org/schema/data/jpa/spring-jpa.xsd"> <!--spring和spring-data-jpa的整合--> <!--1.创建entityManagerFactory对象交给spring管理--> <bean id="entityManagerFactory" class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean"> <!--数据库注入--> <property name="dataSource" ref="dataSource"/> <!--配置包的扫描--> <property name="packagesToScan" value="com.ytkj.entity"/> <!--jpa实现厂家--> <property name="persistenceProvider"> <bean class="org.hibernate.jpa.HibernatePersistenceProvider"></bean> </property> <!--JPA的供应商适配器--> <property name="jpaVendorAdapter"> <bean class="org.springframework.orm.jpa.vendor.HibernateJpaVendorAdapter"> <!--配置是否自动创建数据库表--> <property name="generateDdl" value="false" /> <!--指定数据库类型--> <property name="database" value="MYSQL" /> <!--数据库方言:支持的特有语法--> <property name="databasePlatform" value="org.hibernate.dialect.MySQLDialect" /> <!--是否显示sql语句--> <property name="showSql" value="true" /> </bean> </property> <!--jpa方言:高级特性--> <property name="jpaDialect"> <bean class="org.springframework.orm.jpa.vendor.HibernateJpaDialect" /> </property> </bean> <!--2.创建数据连接池--> <bean id="dataSource" class="com.mchange.v2.c3p0.ComboPooledDataSource"> <!--数据库信息--> <property name="driverClass" value="com.mysql.jdbc.Driver"/> <property name="jdbcUrl" value="jdbc:mysql://192.168.2.100:3306/ytkj?serverTimeZone=UTC"/> <property name="user" value="root"/> <property name="password" value="123456"/> </bean> <!--3.整合spring-data-jpa--> <jpa:repositories base-package="com.ytkj.dao" transaction-manager-ref="transacManager" entity-manager-factory-ref="entityManagerFactory"></jpa:repositories> <!--4.配置事务管理器--> <bean id="transacManager" class="org.springframework.orm.jpa.JpaTransactionManager"> <property name="entityManagerFactory" ref="entityManagerFactory" /> </bean> <!--5.声明式事务--> <tx:advice id="txAdvice" transaction-manager="transacManager"> <tx:attributes> <tx:method name="save*" propagation="REQUIRED"/> <tx:method name="insert*" propagation="REQUIRED"/> <tx:method name="update*" propagation="REQUIRED"/> <tx:method name="delete*" propagation="REQUIRED"/> <tx:method name="get*" read-only="true"/> <tx:method name="find*" read-only="true"/> <tx:method name="*" propagation="REQUIRED"/> </tx:attributes> </tx:advice> <!-- 5.aop--> <aop:config> <aop:pointcut id="pointcut" expression="execution(* com.ytkj.service.*.*(..))" /> <aop:advisor advice-ref="txAdvice" pointcut-ref="pointcut" /> </aop:config> <context:component-scan base-package="com.ytkj"></context:component-scan> </beans>
Spring Data JPA是spring提供的一款对于数据访问层(Dao层)的框架,使用Spring Data JPA,只需要按照框架的规范提供dao接口,不需要实现类就可以完成数据库的增删改查、分页查询等方法的定义,极大的简化了我们的开发过程。
在Spring Data JPA中,对于定义符合规范的Dao层接口,我们只需要遵循以下几点就可以了:
1.创建一个Dao层接口,并实现JpaRepository和JpaSpecificationExecutor
2.提供相应的泛型
package com.ytkj.entity; import javax.persistence.*; import java.io.Serializable; /** * @Entity * 作用:指定当前类是实体类。 * @Table * 作用:指定实体类和表之间的对应关系。 * 属性: * name:指定数据库表的名称 * @Id * 作用:指定当前字段是主键。 * @GeneratedValue * 作用:指定主键的生成方式。。 * 属性: * strategy :指定主键生成策略。 * @Column * 作用:指定实体类属性和数据库表之间的对应关系 * 属性: * name:指定数据库表的列名称。 * unique:是否唯一 * nullable:是否可以为空 * inserttable:是否可以插入 * updateable:是否可以更新 * columnDefinition: 定义建表时创建此列的DDL * secondaryTable: 从表名。如果此列不建在主表上(默认建在主表),该属性定义该列所在从表的名字搭建开发环境[重点] * * 客户实体类 * 配置映射关系 * 实体类和表映射 * 实体类属性和表字段映射 */ @Entity @Table(name = "cst_customer") public class Customer implements Serializable { /** * 声明主键配置 */ @Id /** * 配置主键的生成策略 */ @GeneratedValue(strategy = GenerationType.IDENTITY) /** * 指定实体类属性和数据库表之间的对应关系 */ @Column(name ="cust_id") private Long custId;//客户主键 @Column(name = "cust_name") private String custName;//客户名称 @Column(name ="cust_source" ) private String custSource;//客户来源 @Column(name = "cust_industry") private String custIndustry;//客户行业 @Column(name ="cust_level") private String custLevel;//客户级别 @Column(name ="cust_address") private String custAddress;//客户地址 @Column(name = "cust_phone") private String custPhone;//客户电话 public Long getCustId() { return custId; } public void setCustId(Long custId) { this.custId = custId; } public String getCustName() { return custName; } public void setCustName(String custName) { this.custName = custName; } public String getCustSource() { return custSource; } public void setCustSource(String custSource) { this.custSource = custSource; } public String getCustIndustry() { return custIndustry; } public void setCustIndustry(String custIndustry) { this.custIndustry = custIndustry; } public String getCustLevel() { return custLevel; } public void setCustLevel(String custLevel) { this.custLevel = custLevel; } public String getCustAddress() { return custAddress; } public void setCustAddress(String custAddress) { this.custAddress = custAddress; } public String getCustPhone() { return custPhone; } public void setCustPhone(String custPhone) { this.custPhone = custPhone; } @Override public String toString() { return "Customer{" + "custId=" + custId + ", custName='" + custName + '\'' + ", custSource='" + custSource + '\'' + ", custIndustry='" + custIndustry + '\'' + ", custLevel='" + custLevel + '\'' + ", custAddress='" + custAddress + '\'' + ", custPhone='" + custPhone + '\'' + '}'; } }
package com.ytkj.dao; import com.ytkj.entity.Customer; import org.springframework.data.jpa.repository.JpaRepository; import org.springframework.data.jpa.repository.JpaSpecificationExecutor; import org.springframework.stereotype.Component; import org.springframework.stereotype.Repository; /** * JpaRepository<实体类类型,主键类型>:用来完成基本CRUD操作 * JpaSpecificationExecutor<实体类类型>:用于复杂查询(分页等查询操作) */ @Repository public interface CustomerDao extends JpaRepository<Customer,Long>, JpaSpecificationExecutor<Customer> { }
import com.ytkj.dao.CustomerDao; import com.ytkj.entity.Customer; import org.junit.Test; import org.junit.runner.RunWith; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.test.context.ContextConfiguration; import org.springframework.test.context.junit4.SpringJUnit4ClassRunner; import java.util.List; @RunWith(SpringJUnit4ClassRunner.class)//声明spring提供的单元测试环境 @ContextConfiguration(locations = "classpath:applicationContext.xml")//指定spring容器的配置信息 public class SpringdatajpaTest { @Autowired CustomerDao customerDao; /** * 根据id查询 */ @Test public void findById(){ Customer customer = customerDao.findOne(1l); System.out.println(customer); } /** * 查询所有 */ @Test public void findAll(){ List<Customer> list = customerDao.findAll(); for (Customer customer : list) { System.out.println(customer); } } /** * save: * 保存或者更新 * 根据传递的对象是否存在主键id.如果没有主键id就是保存 * 存在主键id,根据id查询,在跟新数据 */ @Test public void save(){ Customer customer=new Customer(); customer.setCustName("hahahahah"); customer.setCustPhone("119"); customerDao.save(customer);//没有id,保存 } @Test public void save2(){ Customer customer=new Customer(); customer.setCustId(4L); customer.setCustName("中国人"); customer.setCustPhone("0520"); customer.setCustAddress("曲靖"); customerDao.save(customer);//有id,更新 } /** * 根据id删除 */ @Test public void deleteById(){ customerDao.delete(6l); } }