SpringDataJPA使用

一、简介

　　SpringDataJpa是 JPA规范的一个很好的实现，简化了开发的复杂度，极大提升了开发的效率。SpringDataJpa通过 Repository接口及子接口可以很方便的实现持久化操作。

　　SpringDataJpa的API在线手册：https://docs.spring.io/spring-data/jpa/docs/2.1.0.RELEASE/api/

　　简单的看下 Repository 类层次结构图关系：

　　

 　　Repository：空的父接口，即是一个标记接口。

　　 CrudRepository：Repository的子接口，提供CRUD操作

　　 PagingAndSortingRepository：CrudRepository的子接口，增加 分页 和 排序的功能

　　JpaRepository：PagingAndSortingRepository、QueryByExampleExecutor的子接口，增加 批量操作 以及 QBE查询

　　SimpleJpaRepository：实现了JpaRepository 和 JpaSpecificationExecutor 接口，构造函数中传入 EntityManager。类上注解了@Transactional(readOnly = true)，对于CUD的方法使用了注解@Transactional，局部有限原则。各种方法最终的实现都依托于 EntityManager来完成。

二、使用

　　1、创建springboot项目 springdata-jpa

　　2、src/main/resources 目录下新建 application.properties，内容如下：

db.driverClass=com.mysql.jdbc.Driver
db.jdbcUrl=jdbc:mysql://localhost:3310/boot?useUnicode=true&characterEncoding=UTF-8&useSSL=false
db.username=root
db.password=123456
spring.jpa.properties.hibernate.show_sql=true
spring.jpa.properties.hibernate.format_sql=true
#修改实体类的匹配命名规则，主要影响@column(name="")配置，默认是驼峰匹配法
spring.jpa.hibernate.naming.physical-strategy=org.hibernate.boot.model.naming.PhysicalNamingStrategyStandardImpl

　　3、创建 DataSource configuration：

package com.cfang.confingurations;

import javax.sql.DataSource;

import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import com.alibaba.druid.pool.DruidDataSource;

@Configuration
public class DataSourceConfigurations {

    @Value("${db.driverClass:com.mysql.jdbc.Driver}")
    private String driverClass;
    @Value("${db.jdbcUrl}")
    private String jdbcUrl;
    @Value("${db.username}")
    private String username;
    @Value("${db.password}")
    private String password;
    @Value("${initialSize:10}")
    private Integer initialSize;    //初始化连接池个数
    @Value("${maxActive:20}")
    private Integer maxActive;    //最大连接数 
    @Value("${maxWait:60000}")
    private Long maxWait;    //获取连接等待超时时间，单位毫秒
    @Value("${timeBetweenEvictionRunsMillis:60000}")
    private Long timeBetweenEvictionRunsMillis;    //间隔多久进行一次检测，检测回收需要关闭的空闲链接，单位毫秒
    @Value("${minEvictableIdleTimeMillis:300000}")
    private Long minEvictableIdleTimeMillis;    //定义一个连接在池中的最小生存时间，单位毫秒
    @Value("${validationQuery:select 1 from dual}")
    private String validationQuery;    //用来检测连接是否有效的sql
    @Value("${testWhileIdle:true}")
    private Boolean testWhileIdle;    //申请连接的时候是否检测。如果空间时间大于timeBetweenEvictionRunsMillis，执行validationQuery检测连接是否有效
    @Value("${testOnBorrow:false}")
    private Boolean testOnBorrow;    
    @Value("${testOnReturn:false}")
    private Boolean testOnReturn;    //归还连接的时候，是否validationQuery检查连接的有效性，true执行的话，降低性能
    @Value("${poolPreparedStatements:false}")
    private Boolean poolPreparedStatements;    //是否打开pscache
    @Value("${maxPoolPreparedStatementPerConnectionSize:20}")
    private int maxPoolPreparedStatementPerConnectionSize;    //指定每个连接的pscache的大小
    
    @Bean
    public DataSource initDataSource() {
        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setDriverClassName(driverClass);
        dataSource.setUrl(jdbcUrl);
        dataSource.setUsername(username);
        dataSource.setPassword(password);
        dataSource.setInitialSize(initialSize);
        dataSource.setMaxActive(maxActive);
        dataSource.setMaxWait(maxWait);
        dataSource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
        dataSource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        dataSource.setValidationQuery(validationQuery);
        dataSource.setTestWhileIdle(testWhileIdle);
        dataSource.setTestOnBorrow(testOnBorrow);
        dataSource.setTestOnReturn(testOnReturn);
        dataSource.setPoolPreparedStatements(poolPreparedStatements);
        if(poolPreparedStatements) {
            dataSource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
        }
        return dataSource;
    }
}

　　4、创建User实体

package com.cfang.entity;

import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.GeneratedValue;
import javax.persistence.GenerationType;
import javax.persistence.Id;
import javax.persistence.Table;

import lombok.Data;

@Entity
@Table(name = "tb_user")
@Data
public class TblUserEntity {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    @Column(name = "id")
    private int id;
    @Column(name = "name")
    private String name;
    @Column(name = "password")
    private String password;
    @Column(name = "age")
    private int age;
}

　　5、创建持久化操作Repository：

package com.cfang.repository;

import java.util.List;

import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
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 org.springframework.data.repository.query.Param;

import com.cfang.entity.TblUserEntity;

public interface UserRepository extends JpaRepository<TblUserEntity, Integer>, JpaSpecificationExecutor<TblUserEntity>{

    /**
     *     springdata关键字命名方法，可不写实现
     */
    TblUserEntity findByName(String name);
    TblUserEntity findByNameAndAge(String name, int age);
    List<TblUserEntity> findByNameLikeAndAge(String name, int age);
    
    Page<TblUserEntity> findUserPageByNameLike(String name, Pageable pageable);
    
    /**
     * JPQL
     */
    @Query(value = "from TblUserEntity where id=?1", nativeQuery = false)
    TblUserEntity readIdByJPQL(int id);
    
    @Query(value = "select * from tb_user where id=:id", nativeQuery = true)
    TblUserEntity readIdBySQL(int id);
    
    @Modifying
    @Query(value = "update TblUserEntity set name=?2 where id=?1", nativeQuery = false)
    int updateUserNameByIdJPQL(int id, String name);
    
    @Modifying
    @Query(value = "update tb_user set name=:name where id=:id", nativeQuery = true)
    int updateUserNameByIdSQL(@Param("id")int id, @Param("name")String name);
    
    @Query(value = "from TblUserEntity where name like %?1%", nativeQuery = false)
    List<TblUserEntity> findUserByNameJPQL(String name);
    
    @Query(value = "select * from tb_user where name like %:name%", nativeQuery = true)
    List<TblUserEntity> findUserByNameSQL(String name);
    
}

　　6、创建 junit 测试

package com.cfang.repository;

import java.util.List;

import javax.persistence.criteria.CriteriaBuilder;
import javax.persistence.criteria.CriteriaQuery;
import javax.persistence.criteria.Predicate;
import javax.persistence.criteria.Root;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Pageable;
import org.springframework.data.domain.Sort;
import org.springframework.data.jpa.domain.Specification;
import org.springframework.test.annotation.Rollback;
import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;
import org.springframework.test.context.web.WebAppConfiguration;
import org.springframework.transaction.annotation.Transactional;

import com.alibaba.fastjson.JSON;
import com.cfang.SpringDataJpaApplication;
import com.cfang.entity.TblUserEntity;
import com.google.common.collect.Lists;

import lombok.extern.slf4j.Slf4j;

@Slf4j
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = {SpringDataJpaApplication.class})
@WebAppConfiguration
public class UserTest {

    @Autowired
    private UserRepository userRepository;
    
    @Test
    public void findByName() {
        TblUserEntity entity = userRepository.findByName("lisi");
        log.info("result:{}", JSON.toJSONString(entity));
    }
    
    @Test
    public void findByNameAndAge() {
        TblUserEntity entity = userRepository.findByNameAndAge("lisi", 22);
        log.info("result:{}", JSON.toJSONString(entity));
    }
    
    @Test
    public void findByNameLikeAndAge() {
        List<TblUserEntity> entity = userRepository.findByNameLikeAndAge("li%", 22);
        log.info("result:{}", JSON.toJSONString(entity));
    }
    
    @Test
    public void readIdByJPQL() {
        TblUserEntity entity = userRepository.readIdByJPQL(27);
        log.info("result:{}", JSON.toJSONString(entity));
    }
    
    @Test
    public void readIdBySQL() {
        TblUserEntity entity = userRepository.readIdBySQL(27);
        log.info("result:{}", JSON.toJSONString(entity));
    }
    
    @Test
    @Transactional
    @Rollback(false)
    public void updateUserNameByIdJPQL() {
        int result = userRepository.updateUserNameByIdJPQL(27, "wangwu");
        log.info("result:{}", result);
    }
    
    @Test
    @Transactional
    @Rollback(false)
    public void updateUserNameByIdSQL() {
        int result = userRepository.updateUserNameByIdSQL(27, "wangwu2");
        log.info("result:{}", result);
    }
    
    @Test
    public void findUserByNameJPQL() {
        List<TblUserEntity> entity = userRepository.findUserByNameJPQL("li");
        log.info("result:{}", JSON.toJSONString(entity));
    }
    
    @Test
    public void findUserByNameSQL() {
        List<TblUserEntity> entity = userRepository.findUserByNameSQL("li");
        log.info("result:{}", JSON.toJSONString(entity));
    }
    
    @Test
    public void findUserPageByNameLike() {
        Pageable pageable = PageRequest.of(0, 2, new Sort(Sort.Direction.DESC, "id"));
        Page<TblUserEntity> entity = userRepository.findUserPageByNameLike("li%", pageable);
        log.info("result:{}", JSON.toJSONString(entity));
    }
    
    @Test
    public void testSpecification() {
        Pageable pageable = PageRequest.of(0, 2, Sort.Direction.DESC, "id");
        String name = "li";
        Specification<TblUserEntity> specification = new Specification<TblUserEntity>() {
            @Override
            public Predicate toPredicate(Root<TblUserEntity> root, CriteriaQuery<?> query, CriteriaBuilder criteriaBuilder) {
                List<Predicate> conditions = Lists.newArrayList();
                Predicate condition = null;
                condition = criteriaBuilder.like(root.get("name"), "%" + name + "%");
                conditions.add(condition);
                condition = criteriaBuilder.greaterThan(root.get("id"), 27);
                conditions.add(condition);
                
                Predicate[] arr = new Predicate[conditions.size()];
//                return criteriaBuilder.and(conditions.toArray(arr));
                query.where(conditions.toArray(arr));
                return null;
            }
        };
        Page<TblUserEntity> result = userRepository.findAll(specification, pageable);
        log.info("result:{}", JSON.toJSONString(result));
    }
    
}

　　ps：在进行 repository 的CUD操作的时候，必须加事务支持 @Transactional，否则会报错（截取部分出错信息）：

org.springframework.dao.InvalidDataAccessApiUsageException: Executing an update/delete query; nested exception is javax.persistence.TransactionRequiredException: Executing an update/delete query
Caused by: javax.persistence.TransactionRequiredException: Executing an update/delete query

三、总结

　　数据进行持久化操作的时候，都是需要一个对象来进行相关操作的，原生的Hibernate中使用Session，JPA中使用EntityManager，MyBatis中使用SqlSession。上述工程中，在主类main方法中可添加如下进行查看：

@Bean
    public Object testTransactionManager(PlatformTransactionManager manager) {
        System.out.println("TransactionManager is : " + manager.getClass().getName());
        return new Object();
    }

　　SpringDataJpa提供了丰富的CRUD构造的方法，具体可根据实际情况查询使用。

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原文地址：https://www.cnblogs.com/eric-fang/p/11692645.html