Springboot与springdata JPA

作者: 靈08_1024 | 来源:发表于2017-11-01 10:31 被阅读133次

springboot的版本为1.4.3.RELEASE。

基本的配置

yaml配置文件：

spring:
  datasource:
      driver-class-name: com.mysql.jdbc.Driver
      url: jdbc:mysql://localhost:3306/xxx?useUnicode=true&characterEncoding=utf-8&useSSL=false
      username: root
      password: root

仓库的代码：

public interface HospitalResponsity extends JpaRepository<Hospital, Integer> {
}

其中，Hospital是类名，Integer是主键类型。
然后注入到service中就可以使用了。

基本的语法

对于其方法名的定义，遵循驼峰命令，有一些基本的语法。
如find是查询、save是保存、delete是删除、insert是添加。
And是和、Or是或者、Containing是包含，相当于前后%的like。

双数据源

因项目需要读写分离，所以采用双数据源进行处理。
yaml文件配置：

spring:
#数据源的配置#
  datasource:
  #主读副写
      primary:
        driver-class-name: com.mysql.jdbc.Driver
        url: jdbc:mysql://localhost:3306/xxx?useUnicode=true&characterEncoding=utf-8&useSSL=false
        username: root
        password: root
      secondary:
        driver-class-name: com.mysql.jdbc.Driver
        url: jdbc:mysql://localhost:3306/xxx?useUnicode=true&characterEncoding=utf-8&useSSL=false
        username: root
        password: root
# 如果需要h2数据库的
#        url:  jdbc:h2:D:/tools/H2/test
#        username: sa
#        password: sa

Java的config文件配置（boot版本1.4.3）：
总配置源DataSourceConfig.java文件：


import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.autoconfigure.jdbc.DataSourceBuilder;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

import javax.sql.DataSource;

/**
 * Created by lingbao on 2017/10/30.
 *
 * @author lingbao
 * @Description
 * @Modify
 */
@Configuration
public class DataSourceConfig {

    @Bean(name = "primaryDataSource")
    @Qualifier("primaryDataSource")
    @ConfigurationProperties(prefix="spring.datasource.primary")
    public DataSource primaryDataSource() {
        return DataSourceBuilder.create().build();
    }

    @Bean(name = "secondaryDataSource")
    @Qualifier("secondaryDataSource")
    @Primary
    @ConfigurationProperties(prefix="spring.datasource.secondary")
    public DataSource secondaryDataSource() {
        return DataSourceBuilder.create().build();
    }

}

主数据源PrimaryConfig.java：

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.autoconfigure.orm.jpa.JpaProperties;
import org.springframework.boot.orm.jpa.EntityManagerFactoryBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.data.jpa.repository.config.EnableJpaRepositories;
import org.springframework.orm.jpa.JpaTransactionManager;
import org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean;
import org.springframework.transaction.PlatformTransactionManager;
import org.springframework.transaction.annotation.EnableTransactionManagement;

import javax.persistence.EntityManager;
import javax.sql.DataSource;
import java.util.Map;

@Configuration
@EnableTransactionManagement
@EnableJpaRepositories(
        entityManagerFactoryRef="entityManagerFactoryPrimary",
        transactionManagerRef="transactionManagerPrimary",
        basePackages= {"com.kindo.vine.*.repository.read"}) //设置该数据源要监控的Repository所在位置
public class PrimaryConfig {

    @Autowired @Qualifier("primaryDataSource")
    private DataSource primaryDataSource;

    @Primary
    @Bean(name = "entityManagerPrimary")
    public EntityManager entityManager(EntityManagerFactoryBuilder builder) {
        return entityManagerFactoryPrimary(builder).getObject().createEntityManager();
    }

    @Primary
    @Bean(name = "entityManagerFactoryPrimary")
    public LocalContainerEntityManagerFactoryBean entityManagerFactoryPrimary (EntityManagerFactoryBuilder builder) {
        return builder
                .dataSource(primaryDataSource)
                .properties(getVendorProperties(primaryDataSource))
                .packages("com.kindo.vine.*.entity") //设置实体类所在位置
                .persistenceUnit("primaryPersistenceUnit")
                .build();
    }

    @Autowired
    private JpaProperties jpaProperties;

    private Map<String, String> getVendorProperties(DataSource dataSource) {
        return jpaProperties.getHibernateProperties(dataSource);
    }

    @Primary
    @Bean(name = "transactionManagerPrimary")
    public PlatformTransactionManager transactionManagerPrimary(EntityManagerFactoryBuilder builder) {
        return new JpaTransactionManager(entityManagerFactoryPrimary(builder).getObject());
    }

}

Java的config文件配置（boot版本2.0.0.BUILD-SNAPSHOT）：


import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

import javax.sql.DataSource;

/**
 * Created by lingbao on 2017/11/28.
 *
 * @author lingbao
 * @Description
 * @Modify
 */
@Configuration
public class DataSourceConfig {
    @Bean
    @Primary
    @ConfigurationProperties("spring.datasource.primary")
    public DataSourceProperties primaryDataSourceProperties() {
        return new DataSourceProperties();
    }

    @Bean
    @Primary
    @ConfigurationProperties("spring.datasource.primary")
    public DataSource primaryDataSource() {
        return primaryDataSourceProperties().initializeDataSourceBuilder().build();
    }

    @Bean
    @ConfigurationProperties("spring.datasource.secondary")
    public DataSourceProperties secondaryDataSourceProperties() {
        return new DataSourceProperties();
    }

    @Bean
    @ConfigurationProperties("spring.datasource.secondary")
    public DataSource secondaryDataSource() {
        return secondaryDataSourceProperties().initializeDataSourceBuilder().build();
    }
}


import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.orm.jpa.EntityManagerFactoryBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.jpa.repository.config.EnableJpaRepositories;
import org.springframework.orm.jpa.JpaTransactionManager;
import org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean;
import org.springframework.transaction.PlatformTransactionManager;
import org.springframework.transaction.annotation.EnableTransactionManagement;

import javax.persistence.EntityManager;
import javax.sql.DataSource;

@Configuration
@EnableTransactionManagement
@EnableJpaRepositories(
        entityManagerFactoryRef="entityManagerFactoryPrimary",
        transactionManagerRef="transactionManagerPrimary",
        basePackages= {"com.kindo.lily.business.*.repository.write"}) //设置Repository所在位置
public class PrimaryConfig {

    @Autowired
    @Qualifier("primaryDataSource")
    private DataSource primaryDataSource;

    @Primary
    @Bean(name = "entityManagerPrimary")
    public EntityManager entityManager(EntityManagerFactoryBuilder builder) {
        return entityManagerFactoryPrimary(builder).getObject().createEntityManager();
    }

    @Primary
    @Bean(name = "entityManagerFactoryPrimary")
    public LocalContainerEntityManagerFactoryBean entityManagerFactoryPrimary (EntityManagerFactoryBuilder builder) {
        return builder
                .dataSource(primaryDataSource)
                .packages("com.kindo.lily.business.*.entity") //设置实体类所在位置
                .persistenceUnit("primaryPersistenceUnit")
                .build();
    }

    @Primary
    @Bean(name = "transactionManagerPrimary")
    public PlatformTransactionManager transactionManagerPrimary(EntityManagerFactoryBuilder builder) {
        return new JpaTransactionManager(entityManagerFactoryPrimary(builder).getObject());
    }

}

从数据源同理，primary变成secondary就OK，去掉@Primary即可。此处略过。

在Service层需要注入两个数据源，然后根据需要使用指定的数据源。

DSL的使用：
使用QueryDslPredicateExecutor接口来实现：

public interface UserRespository extends JpaRepository<User,Long>, JpaSpecificationExecutor {
//根据JPA的语法写出的查询
    List<Dict> findAllByName(String name);

//以下两种方法等效
@Query(nativeQuery = true,value = "SELECT * FROM test_dict t1 WHERE " +
            "t1.id IN ( SELECT pid FROM test_dict t WHERE t.name LIKE concat('%',?1,'%'))" +
            "OR t1.id IN (SELECT id FROM test_dict t WHERE t.name LIKE concat('%',?1,'%'))")
    List<Dict> findAllByName1(String name);

    @Query("SELECT t1 FROM Dict t1 WHERE " +
            "t1.id IN ( SELECT pid FROM Dict t WHERE t.name like CONCAT('%',:name,'%'))" +
            "OR t1.id IN (SELECT id FROM Dict t WHERE t.name LIKE CONCAT('%',:name,'%'))")
    List<Dict> findAllByName2(@Param("name") String name);
}

Tips：JPA上写SQL的like的值，要用concat来拼接的，不能直接用单引号或者双引号等。

单实体模糊查询：

//下面的实现功能为模糊查询userName，确定查询age，定值条件state，最后id倒序查询分页。

public Page<User> queryAll(String userName, String age, Pageable pageable) throws CommonException {

        Specification querySpecifi = (root, query, cb) -> {
            Predicate predicate = cb.equal(root.get("state"), "0");
            if (null != name) {
                //root.get("userName")表达式，userName为实体中的字段名称。
                //如果用户名传空字串的话，%+""+%表示查询全部。
                //如果用户名传带空格的空字串的话，%+" "+%表示用户的意愿是查询带"空格"的全部。
                predicate = cb.and(cb.like(root.get("userName"), "%" + name + "%"));
            }

            if (StringUtils.isNotBlank(age)) {
                predicate = cb.and(cb.equal(root.get("age"), age));
            }
            query.orderBy(cb.desc(root.get("id").as(Integer.class)));
            return predicate;
        };
        //返回SpringJPA里的page类型
        Page page = medicineReadRepository.findAll(querySpecifi, pageable);

        return page;
    }

注意，在多表关联的实体中，必须引入相关的实体类（以集合或实体类对象的方式），并标注@OneToMany等注解。

源码：https://github.com/lingbao08/springboot-example.git。
注意源码为后来补充，boot版本为2.0.1版本。

Springboot与springdata JPA

基本的配置

基本的语法

双数据源

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