SpringBoot2.0 jpa多数据源配置

随着Springboot升级到2.0,原来1.5.x的Jpa多数据源配置不能用了。现在总结一下Springboot2.0的jpa多数据源配置

连接池还是用druid,但是不能用druid的starter了,譬如在1.5.x时用的是

 


			com.alibaba
			druid-spring-boot-starter
			1.1.6
		

升级到2.0后,再用这个就会报错,因为一个AutoConfig的类缺失。那么要使用druid需要用下面的配置


        
            com.alibaba
            druid-spring-boot-starter
            1.1.10
        
        
            log4j
            log4j
            1.2.17
        
        

 

注意log4j是druid强依赖的不能少,web是因为druid有web界面可以访问,也不能少。

 

 

application.yml也有变化

原来是这样的

 

spring:
  jpa:
    database: mysql
    show-sql: true
    hibernate:
      ddl-auto: update
      naming:
        strategy: org.hibernate.cfg.ImprovedNamingStrategy #命名策略,加分隔线"_"

主要变化就是naming这里,原来的ImprovedNamingStrategy不让用了,改成了下面的类

spring:
  datasource:
    primary:
      url: jdbc:mysql://localhost:3306/company?autoReconnect=true&useUnicode=true
      username: root
      password: root
    secondary:
      url: jdbc:mysql://localhost:3306/com1?autoReconnect=true&useUnicode=true
      username: root
      password: root
  jpa:
    database: mysql
    generate-ddl: true
    show-sql: true
    hibernate:
      ddl-auto: update
      naming:
        physical-strategy: org.springframework.boot.orm.jpa.hibernate.SpringPhysicalNamingStrategy

 

 

 

双数据源:

 

 

先来配置druid的DataSource,这个类在新老版本里都能用,不需要变化。

package com.example.demo.druid;

import com.alibaba.druid.pool.DruidDataSource;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.web.servlet.ServletComponentScan;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

import javax.sql.DataSource;
import java.sql.SQLException;

/**
 * @author wuweifeng wrote on 2017/10/23.
 * 数据库连接属性配置
 */
@ServletComponentScan
@Configuration
public class DruidDBConfig {
    private Logger logger = LoggerFactory.getLogger(DruidDBConfig.class);

    @Value("${spring.datasource.primary.url}")
    private String dbUrl1;

    @Value("${spring.datasource.primary.username}")
    private String username1;

    @Value("${spring.datasource.primary.password}")
    private String password1;

    @Value("${spring.datasource.secondary.username}")
    private String username2;

    @Value("${spring.datasource.secondary.password}")
    private String password2;

    @Value("${spring.datasource.secondary.url}")
    private String dbUrl2;

    @Value("com.mysql.jdbc.Driver")
    private String driverClassName;

    @Value("5")
    private int initialSize;

    @Value("5")
    private int minIdle;

    @Value("20")
    private int maxActive;

    @Value("60000")
    private int maxWait;

    /**
     * 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒
     */
    @Value("60000")
    private int timeBetweenEvictionRunsMillis;
    /**
     * 配置一个连接在池中最小生存的时间,单位是毫秒
     */
    @Value("300000")
    private int minEvictableIdleTimeMillis;

    @Value("SELECT 1 FROM DUAL")
    private String validationQuery;

    @Value("true")
    private boolean testWhileIdle;

    @Value("false")
    private boolean testOnBorrow;

    @Value("false")
    private boolean testOnReturn;

    /**
     * 打开PSCache,并且指定每个连接上PSCache的大小
     */
    @Value("true")
    private boolean poolPreparedStatements;

    @Value("20")
    private int maxPoolPreparedStatementPerConnectionSize;
    /**
     * 配置监控统计拦截的filters,去掉后监控界面sql无法统计,'wall'用于防火墙
     */
    @Value("stat,wall,log4j")
    private String filters;
    /**
     * 通过connectProperties属性来打开mergeSql功能;慢SQL记录
     */
    @Value("druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500")
    private String connectionProperties;

    @Bean(name = "primaryDataSource")
    @Qualifier("primaryDataSource")
    public DataSource dataSource() {
        return getDruidDataSource(username1, password1, dbUrl1);
    }

    @Bean(name = "secondaryDataSource")
    @Qualifier("secondaryDataSource")
    @Primary
    public DataSource secondaryDataSource() {
        return getDruidDataSource(username2, password2, dbUrl2);
    }

    private DruidDataSource getDruidDataSource(String username, String password, String url) {
        DruidDataSource datasource = new DruidDataSource();

        datasource.setUrl(url);
        datasource.setUsername(username);
        datasource.setPassword(password);
        datasource.setDriverClassName(driverClassName);

        //configuration
        datasource.setInitialSize(initialSize);
        datasource.setMinIdle(minIdle);
        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);
        datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
        try {
            datasource.setFilters(filters);
        } catch (SQLException e) {
            logger.error("druid configuration initialization filter : {0}", e);
        }
        datasource.setConnectionProperties(connectionProperties);

        return datasource;
    }
}

第一数据源:

package com.maimeng.pingtai.maimengoperate.db;

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.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.annotation.Resource;
import javax.persistence.EntityManager;
import javax.sql.DataSource;
import java.util.Properties;

/**
 * Created by Administrator on 2017/8/11.
 * 

* 数据源一 */ @Configuration @EnableTransactionManagement @EnableJpaRepositories( entityManagerFactoryRef = "entityManagerFactoryPrimary", transactionManagerRef = "transactionManagerPrimary", basePackages = {"com.maimeng.pingtai.maimengoperate.repository.one"}) public class OneConfig { @Resource @Qualifier("primaryDataSource") private DataSource primaryDataSource; @Primary @Bean(name = "entityManagerPrimary") public EntityManager entityManager(EntityManagerFactoryBuilder builder) { return entityManagerFactoryPrimary(builder).getObject().createEntityManager(); } @Resource private Properties jpaProperties; /** * 设置实体类所在位置 */ @Primary @Bean(name = "entityManagerFactoryPrimary") public LocalContainerEntityManagerFactoryBean entityManagerFactoryPrimary(EntityManagerFactoryBuilder builder) { LocalContainerEntityManagerFactoryBean entityManagerFactory = builder .dataSource(primaryDataSource) .packages("com.maimeng.pingtai.maimengoperate.entity.one") .persistenceUnit("primaryPersistenceUnit") .build(); entityManagerFactory.setJpaProperties(jpaProperties); return entityManagerFactory; } @Primary @Bean(name = "transactionManagerPrimary") public PlatformTransactionManager transactionManagerPrimary(EntityManagerFactoryBuilder builder) { return new JpaTransactionManager(entityManagerFactoryPrimary(builder).getObject()); } }

 

第二数据源:

package com.maimeng.pingtai.maimengoperate.db;

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.annotation.Resource;
import javax.persistence.EntityManager;
import javax.sql.DataSource;
import java.util.Properties;

/**
 * Created by Administrator on 2017/8/11.
 * 

* 数据源一 */ @Configuration @EnableTransactionManagement @EnableJpaRepositories( entityManagerFactoryRef = "entityManagerFactorySecondary", transactionManagerRef = "transactionManagerSecondary", basePackages = {"com.maimeng.pingtai.maimengoperate.repository.two"}) //设置Repository所在位置 public class TwoConfig { @Resource @Qualifier("secondaryDataSource") private DataSource secondaryDataSource; @Resource private Properties jpaProperties; @Bean(name = "entityManagerSecondary") public EntityManager entityManager(EntityManagerFactoryBuilder builder) { return entityManagerFactorySecondary(builder).getObject().createEntityManager(); } @Bean(name = "entityManagerFactorySecondary") public LocalContainerEntityManagerFactoryBean entityManagerFactorySecondary(EntityManagerFactoryBuilder builder) { LocalContainerEntityManagerFactoryBean entityManagerFactory = builder .dataSource(secondaryDataSource) .packages("com.maimeng.pingtai.maimengoperate.entity.two")//设置实体类所在位置 .persistenceUnit("secondaryPersistenceUnit")//持久化单元创建一个默认即可,多个便要分别命名 .build(); entityManagerFactory.setJpaProperties(jpaProperties); return entityManagerFactory; } @Bean(name = "transactionManagerSecondary") public PlatformTransactionManager transactionManagerPrimary(EntityManagerFactoryBuilder builder) { return new JpaTransactionManager(entityManagerFactorySecondary(builder).getObject()); } }


注意把里面的model包名和Repository包名替换为你自己的即可。

 

这样我们就完成了Springboot 2.*的多数据源Jpa配置了。

还有一个地方需要提一下,Springboot2.0依赖了Hibernate5.2版本,1.5.x依赖的是Hibernate5.0.12版本,这两个版本在处理Id自增方面是不一样的。

在老版本里,我们定义了

 @Id
    @GeneratedValue(strategy = GenerationType.AUTO)
    @Column(name = "id")
    public Long getId() {
        return id;
    }

Id生成策略为Auto,那么默认会被转出Id自增。

 

在新版本里,Auto是不行的,不会自增,而且Hibernate会额外创建出来一个表来专门维护Id。可以自行尝试一下,会多出来一个表。

我们如果需要自增的Id,需要显式指定

 

@Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    @Column(name = "id")
    public Long getId() {
        return id;
    }

 

 

 

 

 

 

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