对Spring Data JPA做了一个基本的简介,包括springdatajpa与hibernate、jpa之间的关系;Spring Data JPA的入门案例环境的搭建、CRUD等操作。
SpringDataJPA的概述
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!在JPA的基础上再做了一层封装。
特性:
Spring Data JPA 极大的简化了数据库访问层代码(持久层)。如何简化呢?使用了Spring Data JPA,我们的dao层只需要写接口,再配置包扫描,我们只需要调用接口对象,将会自动生成动态代理对象执行增删查改、分页等操作。
Spring Data JPA与JPA与hibernate之间的关系
JPA是一套规范,内部由接口和抽象类实现;hibernate是一套成熟的ORM框架,且hibernate实现了JPA规范,所以hibernate是JPA的一种实现方式,我们使用JPA中的API编程,意味着站在更高的角度看代问题(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。
Spring Data JPA快速入门
1、 环境搭建
* Maven工程
* 依赖
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>ctgu.rxz</groupId>
<artifactId>springdataJpa01</artifactId>
<packaging>pom</packaging>
<version>1.0-SNAPSHOT</version>
<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>4.12</version>
<scope>test</scope>
</dependency>
<!-- spring beg -->
<dependency>
<groupId>org.aspectj</groupId>
<artifactId>aspectjweaver</artifactId>
<version>1.9.4</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>${spring.version}</version>
</dependency>
<!--是spring对orm相关支持的包-->
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-orm</artifactId>
<version>4.2.5.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-beans</artifactId>
<version>${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>${hibernate.version}</version>
</dependency>
<dependency>
<groupId>org.hibernate</groupId>
<artifactId>hibernate-validator</artifactId>
<version>5.4.1.Final</version>
</dependency>
<!-- hibernate end -->
<!-- c3p0 beg -->
<dependency>
<groupId>c3p0</groupId>
<artifactId>c3p0</artifactId>
<version>${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>
<!--springdatajpa的坐标-->
<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>${spring.version}</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>
</project>
2、 配置文件
* 1.配置数据库连接池
* 2.配置entityManageFactory对象交给Spring容器管理
* 1)配置实体类包扫描
* 2)配置JPA的实现厂家
* 3)配置JPA的供应适配器(指定数据库)
* 3.设置JPA事务管理器
* 4.整合Spring Data JPA,指定dao接口的包名称,声明要对此包下的dao接口进行动态代理
* 5.AOP事务管理
* 6.配置spring包扫描
<?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的配置-->
<!--配置包扫描-->
<context:component-scan base-package="ctgu"/>
<!--1.配置数据库连接池-->
<bean id="dataSource" class="com.mchange.v2.c3p0.ComboPooledDataSource">
<property name="driverClass" value="com.mysql.jdbc.Driver"/>
<property name="jdbcUrl" value="jdbc:mysql://localhost:3306/mybatis?characterEncoding=utf-8"/>
<property name="user" value="root"/>
<property name="password" value="root"/>
</bean>
<!--2.配置entityManageFactory对象交给spring容器管理 指定实体类所在的包名称-->
<bean id="entityManagerFactory" class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean">
<property name="dataSource" ref="dataSource"/>
<!--i 配置的是扫描的包(实体类所在的包)-->
<property name="packagesToScan" value="ctgu.pojo"/>
<!--ii 配置Jpa的实现厂家-->
<property name="persistenceProvider">
<bean class="org.hibernate.jpa.HibernatePersistenceProvider"/>
</property>
<!--iii 配置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,注意全部是大写-->
<property name="database" value="MYSQL"/>
<!--数据库方言:支持的特有语法(每个数据库都有细微的差别)-->
<property name="databasePlatform" value="org.hibernate.dialect.MySQLDialect"/>
<property name="showSql" value="true"/>
</bean>
</property>
<!--配置Jpa的方言:高级的特性,不同的实现厂商有各自的特性,比如Hibernate-->
<property name="jpaDialect">
<bean class="org.springframework.orm.jpa.vendor.HibernateJpaDialect"/>
</property>
</bean>
<!-- 3.JPA事务管理器 -->
<bean id="transactionManager" class="org.springframework.orm.jpa.JpaTransactionManager">
<property name="entityManagerFactory" ref="entityManagerFactory"/>
</bean>
<!--4.整合spring dataJpa 指定dao接口的包名称 声明要对此包下的dao接口进行动态代理增强,生成simpleJpaRepository代理类-->
<jpa:repositories base-package="ctgu.dao" transaction-manager-ref="transactionManager"
entity-manager-factory-ref="entityManagerFactory"/>
<!--5.txAdvice-->
<tx:advice id="txAdvice" transaction-manager="transactionManager">
<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>
<!-- 6.aop-->
<aop:config>
<aop:pointcut id="pointcut" expression="execution(* cn.itcast.service.*.*(..))"/>
<aop:advisor advice-ref="txAdvice" pointcut-ref="pointcut"/>
</aop:config>
</beans>
3、 编写实体类,完成数据库和实体类之间的关系映射
* 1.配置实体类与表的映射关系(此pojo与数据库中的那一张表关系映射)
* @Entiy
* @Table(name="数据库表的名称")
* 2.实体类中属性与表中字段的映射关系
* @Id("name")数据库中的主键字段名
* @GeneratedValue(value)
* strategy=GenerationType.IDENTITY:自增 Mysql(底层数据库支持的自增长方式对id自增)
* strategy=GenerationType.SEQUENCE:序列 Oracle(底层数据库必须支持序列)
* strategy=GenerationType.TABLE:jpa提供的一种机制,通过一张数据库表的形式帮助我们完成自增
* strategy=GenerationType.AUTO:有程序自动的帮助我们选择主键生成策略
* @Column(name="value")数据库中表的字段名 注意: 默认@Column()配置是可以省略的,遵从驼峰式命名,也就是遇到大写字母会转成 ‘\_’ ,但是如果配置下面的代码就不能省略了,属于无修改命名。 比如数据库中字段名是:user\_name, 则对应实体类中写成 userName
package ctgu.pojo;
import javax.persistence.*;
@Entity
@Table(name = "cst_customer")
public class Customer {
/**
* @ Id声明主键的设置
* @ GeneratedValue配置主键是生成策略(自动增长)
* GenerationType.IDENTITY
* @ Column(name = "cust_id")数据库中表中字段的名字
*/
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
@Column(name = "cust_id")
private Long custId;
@Column(name = "cust_name")
private String custName;
@Column(name = "cust_source")
private String custSource;
@Column(name = "cust_industry")
private String custIndustry;
@Column(name = "cust_level")
private String custLevel;
@Column(name = "cust_address")
private String custAddress;
@Column(name = "cust_phone")
private String custPhone;
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;
}
@Override
public String toString() {
return "Customer{" +
"custId=" + custId +
", custName='" + custName + '\'' +
", custSource='" + custSource + '\'' +
", custIndustry='" + custIndustry + '\'' +
", custLevel='" + custLevel + '\'' +
", custAddress='" + custAddress + '\'' +
", custPhone='" + custPhone + '\'' +
'}';
}
public void setCustPhone(String custPhone) {
this.custPhone = custPhone;
}
}
4、 编写dao接口
编写接口需要遵循:
- 实现JpaRepository<T,V>和JpaSpecificationExecutor接口。
- JpaRepository<T,V>:用于完成基本的CRUD操作。
- T:与数据库表对应的实体类型
- V:与数据库表对应实体的主键类型
- JpaSpecificationExecutor:与数据库表对应的实体类型
- JpaRepository<T,V>:用于完成基本的CRUD操作。
- 提供相应的泛型
package ctgu.dao;
import ctgu.pojo.Customer;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.data.jpa.repository.JpaSpecificationExecutor;
import org.springframework.data.jpa.repository.Modifying;
import org.springframework.data.jpa.repository.Query;
import java.util.List;
/**
* 符合springDataJpa的dao层接口规范
* JpaRepository<操作的实体类型,实体类型中的 主键 属性的类型>
* i 封装了基本的CRUD的操作
* JpaSpecificationExecutor<操作的实体类类型>
* i 封装了复杂查询(分页操作)
*/
public interface CustomerDao extends JpaRepository<Customer,Long>, JpaSpecificationExecutor<Customer> {
}
1、 测试
package ctgu.test;
import ctgu.dao.CustomerDao;
import ctgu.pojo.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 org.springframework.transaction.annotation.Transactional;
import javax.persistence.Table;
import java.util.List;
/**
* 声明sping提供的单元测试环境
*/
@RunWith(SpringJUnit4ClassRunner.class)
@ContextConfiguration(locations = "classpath:applicationContext.xml")
public class CustomerDaoTest {
@Autowired
private CustomerDao customerDao;
/**
* 根据id查询
* findOne(主键)
*/
@Test
public void findCustomer(){
Customer customer = customerDao.findOne(2L);
System.out.println(customer);
}
Spring Data JPA实现CRUD
完成上述入门案例后,我们对Customer类进行CRUD测试:
1、 save(Object)
/**
* save()保存或者更新
* 如果传入的对象没有id属性,那么就是保存;
* 如果存在id属性,就根据id查询后,再更新
*/
@Test
public void saveCustomer(){
Customer customer = new Customer();
customer.setCustAddress("湖北省宜昌市");
customer.setCustName("coderxz");
customerDao.save(customer);
}
@Test
public void updateCustomer(){
Customer customer = new Customer();
customer.setCustAddress("湖北省宜昌市");
customer.setCustName("coderxz(修改)");
customer.setCustId(5L);
customerDao.save(customer);
}
1、 findOne(主键属性)
/**
* 根据id查询
* findOne(主键)
*/
@Test
public void findCustomer(){
Customer customer = customerDao.findOne(2L);
System.out.println(customer);
}
1、 getOne(主键属性)
/**
* getOne(Long id)
* 测试时需要加入 @Transactional保证getOne()正常运行
* getOne和findOne有什么区别呢?em是EntityManager对象
* findOne()
* 底层调用 em.find() 立即加载
* getOne()
* 底层调用 em.getReference() 延迟加载
*/
@Test
@Transactional
public void getOne(){
Customer customer = customerDao.getOne(4L);
System.out.println(customer);
}
1、 delete(主键/对象)
/**
* 根据id进行删除
* 先根据id进行查询,如果有再执行删除 执行了select后执行delete
*/
@Test
public void deleteCustomer(){
customerDao.delete(2L);
}
1、 findAll()/count()/exists
@Test
public void findAllCustomer(){
List<Customer> list = customerDao.findAll();
for(Customer customer:list){
System.out.println(customer);
}
}
@Test
public void countCustomer(){
long count = customerDao.count();
System.out.println("统计客户总条数:"+count);
}
/**
* 测试用户是否存在
* 底层执行的是select
*/
@Test
public void ExistsCustomer(){
boolean exists = customerDao.exists(10L);
System.out.println("id为10的用户存在吗?"+exists);
}