Springboot使用spring Data jpa
1、spring jpa简介
JPA(Java Persistence API)是Sun官方提出的Java持久化规范. 为Java开发人员提供了一种对象/关联映射工具来管理Java应用中的关系数据. 它的出现是为了简化现有的持久化开发工作和整合ORM技术. 结束各个ORM框架各自为营的局面.
JPA仅仅是一套规范,不是一套产品, 也就是说Hibernate, TopLink等是实现了JPA规范的一套产品。
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,是基于Hibernate之上构建的JPA使用解决方案,用极简的代码实现了对数据库的访问和操作,包括了增、删、改、查等在内的常用功能.
2、如何使用
maven坐标
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
常用配置
#通用数据源配置
spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver
spring.datasource.url=jdbc:mysql://xxx06/xxx?charset=utf8mb4&useSSL=false
spring.datasource.username=springboot
spring.datasource.password=springboot
# Hikari 数据源专用配置
spring.datasource.hikari.maximum-pool-size=20
spring.datasource.hikari.minimum-idle=5
# JPA 相关配置
spring.jpa.show-sql=true
配置解释
- spring.jpa.show-sql=true 配置在日志中打印出执行的 SQL 语句信息。
3、程序体现
定义一个实体类
package com.example.springbootjpa.entity;
import lombok.Data;
import org.hibernate.annotations.GenericGenerator;
import javax.persistence.*;
@Entity
@Table(name = "tb_user")
@Data
public class User {
@Id
@GenericGenerator(name = "idGenerator", strategy = "uuid")
@GeneratedValue(generator = "idGenerator")
private String id;
@Column(name = "username", unique = true, nullable = false, length = 64)
private String username;
@Column(name = "password", nullable = false, length = 64)
private String password;
@Column(name = "email", length = 64)
private String email;
}
主键采用UUID策略
@GenericGenerator
是Hibernate提供的主键生成策略注解,注意下面的@GeneratedValue
(JPA注解)使用generator = “idGenerator”引用了上面的name = “idGenerator”主键生成策略。
JPA的主键策略
TABLE: 使用一个特定的数据库表格来保存主键
SEQUENCE: 根据底层数据库的序列来生成主键,条件是数据库支持序列。这个值要与generator一起使用,generator 指定生成主键使用的生成器(可能是orcale中自己编写的序列)
IDENTITY: 主键由数据库自动生成(主要是支持自动增长的数据库,如mysql)
AUTO: 主键由程序控制,也是GenerationType的默认值
dao层
package com.example.springbootjpa.repository;
import com.example.springbootjpa.entity.User;
import org.springframework.data.jpa.repository.JpaRepository;
public interface UserRepository extends JpaRepository<User, String> {
}
继承JpaRepository,并且传入实体类和主键类型。
看一下Jpa中的类图关系
最后看一下controller中的写法
package com.example.springbootjpa.controller;
import com.example.springbootjpa.entity.User;
import com.example.springbootjpa.repository.UserRepository;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Pageable;
import org.springframework.web.bind.annotation.*;
import java.util.HashMap;
import java.util.Optional;
@RestController
@RequestMapping("/users")
public class UserController {
@Autowired
private UserRepository userRepository;
@PostMapping()
public User saveUser(@RequestBody User user) {
return userRepository.save(user);
}
@DeleteMapping("/{id}")
public void deleteUser(@PathVariable("id") String userId) {
userRepository.deleteById(userId);
}
@PutMapping("/{id}")
public User updateUser(@PathVariable("id") String userId, @RequestBody User user) {
user.setId(userId);
return userRepository.saveAndFlush(user);
}
@GetMapping("/{id}")
public User getUserInfo(@PathVariable("id") String userId) {
Optional<User> optional = userRepository.findById(userId);
return optional.orElseGet(User::new);
}
@GetMapping("/list")
public Page<User> pageQuery(@RequestParam(value = "pageNum", defaultValue = "1") Integer pageNum,
@RequestParam(value = "pageSize", defaultValue = "10") Integer pageSize) {
return userRepository.findAll(PageRequest.of(pageNum - 1, pageSize));
}
}
4、spring jpa中的查询
4.1、方法名解析
Spring Data Jpa通过解析方法名创建查询,框架在进行方法名解析时,会先把方法名多余的前缀find…By, read…By, query…By, count…By以及get…By截取掉,然后对剩下部分进行解析,第一个By会被用作分隔符来指示实际查询条件的开始。 我们可以在实体属性
上定义条件,并将它们与And和Or连接起来,从而创建大量查询:
User findByUsername(String username);
List<User> findByUsernameIgnoreCase(String username);
List<User> findByUsernameLike(String username);
User findByUsernameAndPassword(String username, String password);
User findByEmail(String email);
List<User> findByEmailLike(String email);
List<User> findByIdIn(List<String> ids);
List<User> findByIdInOrderByUsername(List<String> ids);
void deleteByIdIn(List<String> ids);
Long countByUsernameLike(String username);
支持的关键字、示例及JPQL片段如下表所示:
Keyword | Sample | JPQL snippet |
---|---|---|
And | findByLastnameAndFirstname | … where x.lastname = ?1 and x.firstname = ?2 |
Or | findByLastnameOrFirstname | … where x.lastname = ?1 or x.firstname = ?2 |
Is,Equals | findByFirstname,findByFirstnameIs,findByFirstnameEquals | … where x.firstname = ?1 |
Between | findByStartDateBetween | … where x.startDate between ?1 and ?2 |
LessThan | findByAgeLessThan | … where x.age < ?1 |
LessThanEqual | findByAgeLessThanEqual | … where x.age <= ?1 |
GreaterThan | findByAgeGreaterThan | … where x.age > ?1 |
GreaterThanEqual | findByAgeGreaterThanEqual | … where x.age >= ?1 |
After | findByStartDateAfter | … where x.startDate > ?1 |
Before | findByStartDateBefore | … where x.startDate < ?1 |
IsNull | findByAgeIsNull | … where x.age is null |
IsNotNull,NotNull | findByAge(Is)NotNull | … where x.age not null |
Like | findByFirstnameLike | … where x.firstname like ?1 |
NotLike | findByFirstnameNotLike | … findByFirstnameNotLike |
StartingWith | findByFirstnameStartingWith | … where x.firstname like ?1 (parameter bound with appended %) |
EndingWith | findByFirstnameEndingWith | … where x.firstname like ?1 (parameter bound with prepended %) |
Containing | findByFirstnameContaining | … where x.firstname like ?1 (parameter bound wrapped in %) |
OrderBy | findByAgeOrderByLastnameDesc | … where x.age = ?1 order by x.lastname desc |
Not | findByLastnameNot | … where x.lastname <> ?1 |
In | findByAgeIn(Collection |
… where x.age in ?1 |
NotIn | findByAgeNotIn(Collection |
… where x.age not in ?1 |
True | findByActiveTrue() | … where x.active = true |
False | findByActiveFalse() | … where x.active = false |
IgnoreCase | findByFirstnameIgnoreCase | … where UPPER(x.firstame) = UPPER(?1) |
4.2、自定义查询
@Query 注解的使用非常简单,只需在声明的方法上面标注该注解,同时提供一个 JPQL 查询语句即可。
@Query("select u from User u where u.email = ?1")
User getByEmail(String eamil);
@Query("select u from User u where u.username = ?1 and u.password = ?2")
User getByUsernameAndPassword(String username, String password);
@Query("select u from User u where u.username like %?1%")
List<User> getByUsernameLike(String username);
使用命名参数Using Named Parameters
默认情况下,Spring Data JPA使用基于位置的参数绑定,如前面所有示例中所述。 这使得查询方法在重构参数位置时容易出错。 要解决此问题,可以使用@Param
注解为方法参数指定具体名称并在查询中绑定名称,如以下示例所示:
@Query("select u from User u where u.id = :id")
User getById(@Param("id") String userId);
@Query("select u from User u where u.username = :username or u.email = :email")
User getByUsernameOrEmail(@Param("username") String username, @Param("email") String email);
4.3、使用spel
从Spring Data JPA release 1.4开始,Spring Data JPA支持名为entityName的变量。 它的用法是select x from #{#entityName} x
。 entityName的解析方式如下:如果实体类在@Entity注解上设置了name属性,则使用它。 否则,使用实体类的简单类名。为避免在@Query注解使用实际的实体类名,就可以使用#{#entityName}
进行代替。如以上示例中,@Query注解的查询字符串里的User都可替换为#{#entityName}。
@Query("select u from #{#entityName} u where u.email = ?1")
User getByEmail(String eamil);
4.4、自定义修改 删除
单独使用@Query注解只是查询,如涉及到修改、删除则需要再加上@Modifying
注解,如:
@Transactional()
@Modifying
@Query("update User u set u.password = ?2 where u.username = ?1")
int updatePasswordByUsername(String username, String password);
@Transactional()
@Modifying
@Query("delete from User where username = ?1")
void deleteByUsername(String username);
4.5、表关系描述
多对对
package com.example.springbootjpa.entity;
import lombok.Data;
import org.hibernate.annotations.GenericGenerator;
import javax.persistence.*;
import java.util.Date;
import java.util.Set;
import java.util.UUID;
@Entity
@Table(name = "tb_user")
@Data
public class User {
@Id
@GenericGenerator(name = "idGenerator", strategy = "uuid")
@GeneratedValue(generator = "idGenerator")
private String id;
@Column(name = "username", unique = true, nullable = false, length = 64)
private String username;
@Column(name = "password", nullable = false, length = 64)
private String password;
@Column(name = "email", unique = true, length = 64)
private String email;
@ManyToMany(targetEntity = Role.class, cascade = {CascadeType.PERSIST, CascadeType.MERGE}, fetch = FetchType.LAZY)
@JoinTable(name = "tb_user_role", joinColumns = {@JoinColumn(name = "user_id", referencedColumnName = "id")},
inverseJoinColumns = {@JoinColumn(name = "role_id", referencedColumnName = "id")})
private Set<Role> roles;
}
package com.example.springbootjpa.entity;
import lombok.Data;
import org.hibernate.annotations.GenericGenerator;
import javax.persistence.*;
@Entity
@Table(name = "tb_role")
@Data
public class Role {
@Id
@GenericGenerator(name = "idGenerator", strategy = "uuid")
@GeneratedValue(generator = "idGenerator")
private String id;
@Column(name = "role_name", unique = true, nullable = false, length = 64)
private String roleName;
}
@Test
public void findByIdTest() {
Optional<User> optional = userRepository.findById("40289f0c65674a930165674d54940000");
Set<Role> roles = optional.get().getRoles();
System.out.println(optional.get());
}
这块注意配置懒加载
spring:
jpa:
open-in-view: true
properties:
hibernate:
enable_lazy_load_no_trans: true
一对多
package com.example.springbootjpa.entity;
import lombok.Data;
import org.hibernate.annotations.GenericGenerator;
import javax.persistence.*;
import java.util.Set;
@Entity
@Table(name = "tb_dept")
@Setter
@Getter
public class Department {
@Id
@GenericGenerator(name = "idGenerator", strategy = "uuid")
@GeneratedValue(generator = "idGenerator")
private String id;
@Column(name = "dept_name", unique = true, nullable = false, length = 64)
private String deptName;
@OneToMany(mappedBy = "department", cascade = CascadeType.ALL, fetch = FetchType.LAZY)
private Set<Employee> employees;
}
package com.example.springbootjpa.entity;
import lombok.Data;
import org.hibernate.annotations.GenericGenerator;
import javax.persistence.*;
import java.util.UUID;
@Entity
@Table(name = "tb_emp")
@Setter
@Getter
public class Employee {
@Id
@GenericGenerator(name = "idGenerator", strategy = "uuid")
@GeneratedValue(generator = "idGenerator")
private String id;
@Column(name = "emp_name", nullable = false, length = 64)
private String empName;
@Column(name = "emp_job", length = 64)
private String empJob;
@Column(name = "dept_id", insertable = false, updatable = false)
private String deptId;
@ManyToOne(targetEntity = Department.class, cascade = CascadeType.ALL, fetch = FetchType.LAZY)
@JoinColumn(name = "dept_id")
private Department department;
}
@Test
public void findByIdTest() {
Optional<Employee> optional = employeeRepository.findById("93fce66c1ef340fa866d5bd389de3d79");
System.out.println(optional.get());
}
注意,使用@Data会出现问题。
5、spring data jpa的审计功能
一般数据库表在设计时都会添加4个审计字段,Spring Data Jpa同样支持审计功能。Spring Data提供了@CreatedBy
,@LastModifiedBy
,@CreatedDate
,@LastModifiedDate
4个注解来记录表中记录的创建及修改信息。
package com.example.springbootjpa.entity;
import lombok.Data;
import org.hibernate.annotations.GenericGenerator;
import org.springframework.data.annotation.CreatedBy;
import org.springframework.data.annotation.CreatedDate;
import org.springframework.data.annotation.LastModifiedBy;
import org.springframework.data.annotation.LastModifiedDate;
import org.springframework.data.jpa.domain.support.AuditingEntityListener;
import javax.persistence.*;
import java.util.Date;
import java.util.Set;
@Entity
@EntityListeners(AuditingEntityListener.class)
@Table(name = "tb_user")
@Data
public class User {
@Id
@GenericGenerator(name = "idGenerator", strategy = "uuid")
@GeneratedValue(generator = "idGenerator")
private String id;
@Column(name = "username", unique = true, nullable = false, length = 64)
private String username;
@Column(name = "password", nullable = false, length = 64)
private String password;
@Column(name = "email", unique = true, length = 64)
private String email;
@ManyToMany(targetEntity = Role.class, cascade = CascadeType.ALL, fetch = FetchType.LAZY)
@JoinTable(name = "tb_user_role", joinColumns = {@JoinColumn(name = "user_id", referencedColumnName = "id")},
inverseJoinColumns = {@JoinColumn(name = "role_id", referencedColumnName = "id")})
private Set<Role> roles;
@CreatedDate
@Column(name = "created_date", updatable = false)
private Date createdDate;
@CreatedBy
@Column(name = "created_by", updatable = false, length = 64)
private String createdBy;
@LastModifiedDate
@Column(name = "updated_date")
private Date updatedDate;
@LastModifiedBy
@Column(name = "updated_by", length = 64)
private String updatedBy;
}
实体类上还添加了@EntityListeners(AuditingEntityListener.class)
,而AuditingEntityListener是由Spring Data Jpa提供的。
实现AuditorAware接口,光添加了4个审计注解还不够,得告诉程序到底是谁在创建和修改表记录
package com.example.springbootjpa.auditing;
import org.springframework.data.domain.AuditorAware;
import org.springframework.stereotype.Component;
import java.util.Optional;
@Component
public class AuditorAwareImpl implements AuditorAware<String> {
@Override
public Optional<String> getCurrentAuditor() {
return Optional.of("admin");
}
}
5.1、启动jpa的审计功能
package com.example.springbootjpa;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.data.jpa.repository.config.EnableJpaAuditing;
@SpringBootApplication
@EnableJpaAuditing
public class SpringBootJpaApplication {
public static void main(String[] args) {
SpringApplication.run(SpringBootJpaApplication.class, args);
}
}
6、备注
spring data jpa官方地址: https://docs.spring.io/spring-data/jpa/docs/current/reference/html/
更多版本文档可以查阅,https://docs.spring.io/spring-data/。