一、SpringDataJPa
介绍springDataJPa
SpringDataJpa,jpa,hibernate之间的关系
二、搭建环境
1.创建Maven工程,导入坐标
2.编写SpringDataJPA的配置文件(applicationContext.xml)
3.创建实体类,数据库表
4.数据库表的SQL
5.DAO接口
三、四种查询方式:
1.基本的增删改查
JpaRepository封装好的方法
JpaSpecificationExecutor封装好的方法
测试类
2.JPQL查询
DAO接口:
测试类:
3.SQL查询
DAO接口
测试类:
4.方法命名查询
部分对照表
DAO接口:
测试类:
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!
Spring Data JPA 是更大的 Spring Data 系列的一部分,可以轻松实现基于 JPA 的存储库。该模块处理对基于 JPA 的数据访问层的增强支持。它使构建使用数据访问技术的 Spring 驱动的应用程序变得更加容易。
**SpringDataJPA其实是对JPA规范的封装抽象,**底层还是使用了Hibernate的JPA技术实现,引用JPQL(Java Persistence Query Language)查询语言,属于Spring整个生态体系的一部分。随着Spring Boot和Spring Cloud在市场上的流行,Spring Data JPA也逐渐进入大家的视野,它们组成有机的整体,使用起来比较方便,加快了开发的效率,使开发者不需要关心和配置更多的东西,完全可以沉浸在Spring的完整生态标准实现下。JPA上手简单,开发效率高,对对象的支持比较好,又有很大的灵活性,市场的认可度越来越高。
官网地址:Spring Data JPA
底层工作的还是Hibernate,听说啊,JPA与Hibernate的创始人是同一人。
<?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">
<parent>
<artifactId>JPA</artifactId>
<groupId>com.dynamic</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>JPA-Day2</artifactId>
<properties>
<spring.version>5.0.2.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>1.6.8</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>${spring.version}</version>
</dependency>
<!-- spring对orm框架的支持包-->
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-orm</artifactId>
<version>${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>${mysql.version}</version>
</dependency>
<!-- spring data jpa 的坐标-->
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-jpa</artifactId>
<version>1.9.0.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-test</artifactId>
<version>${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>
<?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">
<!-- 1.dataSource 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/jpa" />
<property name="user" value="root" />
<property name="password" value="root" />
</bean>
<!-- 2.配置entityManagerFactory -->
<bean id="entityManagerFactory" class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean">
<property name="dataSource" ref="dataSource" />
<property name="packagesToScan" value="com.dynamic.domain" />
<property name="persistenceProvider">
<bean class="org.hibernate.jpa.HibernatePersistenceProvider" />
</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 -->
<property name="showSql" value="true" />
</bean>
</property>
<!--jpa的方言 :高级的特性 -->
<property name="jpaDialect" >
<bean class="org.springframework.orm.jpa.vendor.HibernateJpaDialect" />
</property>
</bean>
<!-- 3.事务管理器-->
<!-- JPA事务管理器 -->
<bean id="transactionManager" class="org.springframework.orm.jpa.JpaTransactionManager">
<property name="entityManagerFactory" ref="entityManagerFactory" />
</bean>
<!-- 整合spring data jpa-->
<jpa:repositories base-package="com.dynamic.dao"
transaction-manager-ref="transactionManager"
entity-manager-factory-ref="entityManagerFactory"></jpa:repositories>
<!-- 4.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>
<!-- 5.aop-->
<!-- <aop:config>-->
<!-- <aop:pointcut id="pointcut" expression="execution(* com.dynamic.service.*.*(..))" />-->
<!-- <aop:advisor advice-ref="txAdvice" pointcut-ref="pointcut" />-->
<!-- </aop:config>-->
<context:component-scan base-package="com.dynamic"></context:component-scan>
<!--组装其它 配置文件-->
</beans>
package com.dynamic.domain;
import javax.persistence.*;
/**
* @Author: Promsing(张有博)
* @Date: 2021/10/13 - 17:29
* @Description: 客户的实体类
* 配置映射关系
* 1.实体类和表的映射关系
* @Entity 声明是实体类
* @Table(name = "cst_customer") 实体类与表的映射关系,name配置表的名称
*
* 2.实体类中属性和表字段的映射关系
* @version: 1.0
*/
@Entity
@Table(name = "cst_customer")
public class Customer {
/**
* @Id:声明主键的配置
* @GeneratedValue:配置主键的生成策略
* strategy
* GenerationType.IDENTITY :自增,mysql
* * 底层数据库必须支持自动增长(底层数据库支持的自动增长方式,对id自增)
* GenerationType.SEQUENCE : 序列,oracle
* * 底层数据库必须支持序列
* 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主键自增
* GenerationType.AUTO : 由程序自动的帮助我们选择主键生成策略
* @Column:配置属性和字段的映射关系
* name:数据库表中字段的名称
*/
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
@Column(name = "cust_id")
private Long id;//主键
@Column(name="cust_name")
private String custName;
@Column(name="cust_source")
private String custSource;
@Column(name = "cust_industry")
private String custIndustry;//所属行业
@Column(name="cust_level")
private String custLevel;
@Column(name = "cust_address")
private String custAddress;
@Column(name = "cost_phone")
private String custPhone;
public Long getId() {
return id;
}
public void setId(Long id) {
this.id = id;
}
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{" +
"id=" + id +
", custName='" + custName + '\'' +
", custSource='" + custSource + '\'' +
", custIndustry='" + custIndustry + '\'' +
", custLevel='" + custLevel + '\'' +
", custAddress='" + custAddress + '\'' +
", custPhone='" + custPhone + '\'' +
'}';
}
}
CREATE TABLE `cst_customer` (
`cust_id` bigint(32) NOT NULL AUTO_INCREMENT COMMENT '客户编号(主键)',
`cust_name` varchar(32) NOT NULL COMMENT '客户名称(公司名称)',
`cust_source` varchar(32) DEFAULT NULL COMMENT '客户信息来源',
`cust_industry` varchar(32) DEFAULT NULL COMMENT '客户所属行业',
`cust_level` varchar(32) DEFAULT NULL COMMENT '客户级别',
`cust_address` varchar(128) DEFAULT NULL COMMENT '客户联系地址',
`cust_phone` varchar(64) DEFAULT NULL COMMENT '客户联系电话',
`cost_phone` varchar(255) DEFAULT NULL,
PRIMARY KEY (`cust_id`)
) ENGINE=InnoDB AUTO_INCREMENT=6 DEFAULT CHARSET=utf8;
package com.dynamic.dao;
import com.dynamic.domain.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;
/**
* @Author: Promsing(张有博)
* @Date: 2021/10/17 - 17:36
* @Description: 需要符合springDataJPA的dao层接口规范
* JpaRepository<操作的实体类型,实体类中主键属性的类型>
* *封装了基本的CRUD操作
* JpaSpecificationExecutor<操作的实体类型>
* *封装了复杂查询(分页)
* @version: 1.0
*/
public interface CustomerDao extends JpaRepository<Customer,Long>, JpaSpecificationExecutor<Customer> {
}
继承JpaRepository,JpaSpecificationExecutor 接口,使用JPA封装好的方法。
/**
* findOne(id) :根据id查询
*
* save(customer):保存或更新 实体的id属性
*
* delete(id) :根据id删除
*
* findAll() :查询全部
*
* count() :计数
*
* exists() :判断是否存在
*
*/
@Test
public void testFindOne(){
System.out.println("dfa");
Customer one = dao.findOne(1L);
System.out.println(one);
}
@Test
public void testSave(){
System.out.println("dfa");
Customer c=new Customer();
c.setCustAddress("廊坊");
c.setCustName("小小张");
c.setCustPhone("9999");
c.setCustLevel("vipp");
Customer save = dao.save(c);
System.out.println(save);
}
@Test
@Transactional
public void testUpdate(){
System.out.println("dfa");
Customer c=new Customer();
c.setCustAddress("廊坊");
c.setCustName("小小张");
c.setCustPhone("2800");
Customer save = dao.save(c);
System.out.println(save);
}
@Test
public void testDelete(){
dao.delete(2L);
System.out.println();
}
@Test
@Transactional
public void testFindAll(){
List<Customer> all = dao.findAll();
for (Customer customer : all) {
System.out.println(customer);
}
System.out.println();
}
@Test
@Transactional
public void testCount(){
long count = dao.count();
System.out.println(count);
}
@Test
public void testExists(){
boolean exists = dao.exists(2L);
System.out.println(exists);
}
@Test
@Transactional
public void testGetOne(){
// getOone方法是懒加载
Customer one = dao.getOne(2L);
System.out.println(one);
}
jpa query language (jpq查询语言),与原生SQL语句类似,并且完全面向对象,通过类名和属性访问,查询的是类和类中的属性
上一篇博客介绍了JPQL:
JPA入门案例完成增删改查_小小张自由—>张有博-CSDN博客JPA (Java Persistence API) Java持久化API。是一套Java官方制定的ORM方案。JPA是一种规范,一种标准,具体的操作交给第三方框架去实现,比如说Hibernate,OpenJPA等。本文介绍了ORM思想,JPA规范与实现,如何去搭建JPA的基础环境,JPA的操作步骤以及使用Java代码用JPA做基本数据的增删改查。
https://blog.csdn.net/promsing/article/details/120794681
需要将JPQL语句配置到接口方法上
1.特有的查询:需要在dao接口上配置方法
2.在新添加的方法上,使用注解的形式配置jpql查询语句
3.注解 : @Query
/**
* @Author: Promsing(张有博)
* @Date: 2021/10/17 - 17:36
* @Description: 需要符合springDataJPA的dao层接口规范
* JpaRepository<操作的实体类型,实体类中主键属性的类型>
* *封装了基本的CRUD操作
* JpaSpecificationExecutor<操作的实体类型>
* *封装了复杂查询(分页)
* @version: 1.0
*/
public interface CustomerDao extends JpaRepository<Customer,Long>, JpaSpecificationExecutor<Customer> {
/**
* @Query:表示查询
*
* @Modifying 表示更新的操作
*/
@Query(value = "from Customer where custName = ? ")
public List<Customer> findJpql(String custName);
/**
* 对于多个占位符参数
* 赋值的时候,默认情况下,占位符的位置需要和方法参数中的位置保持一致
*
* 可以指定占位符参数的位置
* ? 索引的方式,指定此占位符的取值来源
*/
@Query(value = "from Customer where custName = ? and id = ?")
// @Query(value = "from Customer where custName = ?2 and id = ?1")
public Object findCustNameAndId(String name,Long id);
@Query(value = "update Customer set custName = ? where id = ? ")
@Modifying //表示是,更新的操作
public Integer updateName(String name,Long id);
}
@Test
public void testJpql(){
List<Customer> list = dao.findJpql("小小张");
System.out.println(list);
}
@Test
public void testFindCustNameAndId(){
Object one = dao.findCustNameAndId("小小张",1L);
System.out.println(one);
}
@Test
@Transactional //添加事务的支持
@Rollback(value = false)
/**
* springDataJpa中使用jpql完成更新/删除操作
* 需要手动添加事务的支持
* 默认会执行结束之后,回滚事务
* @Rollback: 设置是否自动回滚
* false(不) | true
*/
public void testUpdateName(){
Object one = dao.updateName("张自由",3L);
System.out.println(one);
}
1.特有的查询:需要在dao接口上配置方法
2.在新添加的方法上,使用注解的形式配置sql查询语句
3.注解 : @Query
value :jpql语句 | sql语句
nativeQuery :false(使用jpql查询) | true(使用本地查询:sql查询)
package com.dynamic.dao;
import com.dynamic.domain.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;
/**
* @Author: Promsing(张有博)
* @Date: 2021/10/17 - 17:36
* @Description: 需要符合springDataJPA的dao层接口规范
* JpaRepository<操作的实体类型,实体类中主键属性的类型>
* *封装了基本的CRUD操作
* JpaSpecificationExecutor<操作的实体类型>
* *封装了复杂查询(分页)
* @version: 1.0
*/
public interface CustomerDao extends JpaRepository<Customer,Long>, JpaSpecificationExecutor<Customer> {
/**
* 使用sql的形式查询 查询全部用户
* SQL:select * from cst_customer
* @Query: 配置sql查询
* value:sqly语句
* nativeQuery:查询方式
* true:sql查询
* false:jpql查询
* @return
*/
@Query(value = "select * from cst_customer", nativeQuery = true)
public List<Customer> findSql();
@Query(value = "select * from cst_customer where cust_name like ?", nativeQuery = true)
public List<Customer> findLikeSql(String name );
}
@Test
public void testSQL(){
List<Customer> list = dao.findSql();
List<Customer> sql = dao.findLikeSql("小%");
for (Customer customer : sql) {
System.out.println(customer);
}
}
是对jpql查询,更加深入一层的封装
我们只需要按照SpringDataJpa提供的方法名称规则定义方法,不需要再配置jpql语句,完成查询
按照Spring Data JPA 定义的规则,查询方法以findBy开头,涉及条件查询时,条件的属性用条件关键字连接,要注意的是:条件属性首字母需大写。框架在进行方法名解析时,会先把方法名多余的前缀截取掉,然后对剩下部分进行解析。
| <br> | <br> | <br> | <br> | <br> |
| <br>Keyword<br> | <br>Sample<br> | <br>JPQL<br> | <br> | <br> |
| <br>And<br> | <br>findByLastnameAndFirstname<br> | <br>… where x.lastname = ?1 and x.firstname = ?2<br> | <br> | <br> |
| <br>Or<br> | <br>findByLastnameOrFirstname<br> | <br>… where x.lastname = ?1 or x.firstname = ?2<br> | <br> | <br> |
| <br>Is,Equals<br> | <br>findByFirstnameIs,<br><br>findByFirstnameEquals<br> | <br>… where x.firstname = ?1<br> | <br> | <br> |
| <br>Between<br> | <br>findByStartDateBetween<br> | <br>… where x.startDate between ?1 and ?2<br> | <br> | <br> |
| <br>LessThan<br> | <br>findByAgeLessThan<br> | <br>… where x.age < ?1<br> | <br> | <br> |
| <br>LessThanEqual<br> | <br>findByAgeLessThanEqual<br> | <br>… where x.age ⇐ ?1<br> | <br> | <br> |
| <br>GreaterThan<br> | <br>findByAgeGreaterThan<br> | <br>… where x.age > ?1<br> | <br> | <br> |
| <br>GreaterThanEqual<br> | <br>findByAgeGreaterThanEqual<br> | <br>… where x.age >= ?1<br> | <br> | <br> |
| <br>After<br> | <br>findByStartDateAfter<br> | <br>… where x.startDate > ?1<br> | <br> | <br> |
| <br>Before<br> | <br>findByStartDateBefore<br> | <br>… where x.startDate < ?1<br> | <br> | <br> |
| <br>IsNull<br> | <br>findByAgeIsNull<br> | <br>… where x.age is null<br> | <br> | <br> |
| <br>IsNotNull,NotNull<br> | <br>findByAge(Is)NotNull<br> | <br>… where x.age not null<br> | <br> | <br> |
| <br>Like<br> | <br>findByFirstnameLike<br> | <br>… where x.firstname like ?1<br> | <br> | <br> |
| <br>NotLike<br> | <br>findByFirstnameNotLike<br> | <br>… where x.firstname not like ?1<br> | <br> | <br> |
| <br>StartingWith<br> | <br>findByFirstnameStartingWith<br> | <br>… where x.firstname like ?1 (parameter bound with appended %)<br> | <br> | <br> |
| <br>EndingWith<br> | <br>findByFirstnameEndingWith<br> | <br>… where x.firstname like ?1 (parameter bound with prepended %)<br> | <br> | <br> |
| <br>Containing<br> | <br>findByFirstnameContaining<br> | <br>… where x.firstname like ?1 (parameter bound wrapped in %)<br> | <br> | <br> |
| <br>OrderBy<br> | <br>findByAgeOrderByLastnameDesc<br> | <br>… where x.age = ?1 order by x.lastname desc<br> | <br> | <br> |
| <br>Not<br> | <br>findByLastnameNot<br> | <br>… where x.lastname <> ?1<br> | <br> | <br> |
| <br>In<br> | <br>findByAgeIn(Collection ages)<br> | <br>… where x.age in ?1<br> | <br> | <br> |
| <br>NotIn<br> | <br>findByAgeNotIn(Collection age)<br> | <br>… where x.age not in ?1<br> | <br> | <br> |
| <br>TRUE<br> | <br>findByActiveTrue()<br> | <br>… where x.active = true<br> | <br> | <br> |
| <br>FALSE<br> | <br>findByActiveFalse()<br> | <br>… where x.active = false<br> | <br> | <br> |
| <br>IgnoreCase<br> | <br>findByFirstnameIgnoreCase<br> | <br>… where UPPER(x.firstame) = UPPER(?1)<br> | <br> | <br> |
package com.dynamic.dao;
import com.dynamic.domain.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;
/**
* @Author: Promsing(张有博)
* @Date: 2021/10/17 - 17:36
* @Description: 需要符合springDataJPA的dao层接口规范
* JpaRepository<操作的实体类型,实体类中主键属性的类型>
* *封装了基本的CRUD操作
* JpaSpecificationExecutor<操作的实体类型>
* *封装了复杂查询(分页)
* @version: 1.0
*/
public interface CustomerDao extends JpaRepository<Customer,Long>, JpaSpecificationExecutor<Customer> {
/**
* 方法名的约定
*
* findBy:查询
* 对象中的属性名(首字母大写),查询条件
*
* findByCustName 根据客户名称查询
*
* 会根据方法名称进行解析 findBy from XXX where custName
* @param name
* @return
*/
//1.findBy +属性名称(根据属性名称进行完成匹配的查询=)
public Customer findByCustName(String name );
//2.findBy +属性名称 +“查询方式”(Like | isNull)
public List<Customer> findByCustNameLike(String name );
//3.findBy +属性名称 +“查询方式” +“多条件的连接符(and|or)” +属性名 +“查询方式”
public Customer findByCustNameLikeAndCustIndustry(String name,String industry);
}
@Test
public void testFindNaming(){
Customer custName = dao.findByCustName("张自由");
System.out.println(custName);
System.out.println("______________");
List<Customer> byCustNameLike = dao.findByCustNameLike("小%");
for (Customer customer : byCustNameLike) {
System.out.println(customer);
}
System.out.println("______________");
Customer it = dao.findByCustNameLikeAndCustIndustry("小%", "IT教育");
System.out.println(it);
}
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原文链接 : https://blog.csdn.net/promsing/article/details/121799070
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