【sping-boot】druid 连接池配置多个数据源

背景

如何使用druid 连接池配置多个数据源

参考文档:https://www.cnblogs.com/qdhxhz/p/10192041.html

目录结构

为了更好的区分,我把不同的数据库,新建在不同的目录下面

先看目录结构:

【sping-boot】druid 连接池配置多个数据源 

修改配置

pom.xml

<dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
            <version>2.1.1</version>
        </dependency>

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
        </dependency>

        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid-spring-boot-starter</artifactId>
            <version>1.1.20</version>
        </dependency>

        <dependency>
            <groupId>com.github.pagehelper</groupId>
            <artifactId>pagehelper-spring-boot-starter</artifactId>
            <version>1.2.13</version>
        </dependency>

修改application.yml配置

spring:
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    #   Druid连接池配置
    druid:
      #     初始化大小,最小,最大
      initial-size: 5
      max-active: 30
      min-idle: 5
      #      获取数据库连接等待的超时时间
      max-wait: 3000
      max-open-prepared-statements: -1
      #      配置多久进行一次检测,检测需要关闭的空闲连接 单位毫秒
      time-between-eviction-runs-millis: 60000
      #      配置连接在池中的最小生存时间
      min-evictable-idle-time-millis: 300000
      #      配置连接在池中的最大生存时间
      max-evictable-idle-time-millis: 400000
      #      系统启动时通过该sql语句验证数据库是否可用,如果不配置validationQuery,则下面三项无效
      validation-query: SELECT 1
      #      启用空闲连接检测,以便回收
      test-while-idle: true
      #      从连接池获取连接时,是否检测连接可用性,开启性能会有些许影响
      test-on-borrow: false
      #      释放连接到连接池时,是否检测连接可用性,开启性能会有些许影响
      test-on-return: false
      #      打开PSCache,并且指定每个连接上PSCache的大小
      pool-prepared-statements: false
      max-pool-prepared-statement-per-connection-size: 20
      #      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
      filters: stat,wall
      use-global-data-source-stat: true
      #      通过connectProperties属性来打开mergeSql功能;慢SQL记录
      connect-properties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000


server:
  port: 7080

mybatis:
  # 对应实体类的包名
  type-aliases-package: com.example.druiddemo.dao
  mapper-locations: classpath:mybatis/mapper/*.xml
#  config-location: classpath:mybatis/mybatis-config.xml


mfw:
  datasource:
    username: root
    password: 123456
    url: jdbc:mysql://127.0.0.1:3306/mfw?characterEncoding=utf-8
    driver-class-name: com.mysql.jdbc.Driver
komo:
  datasource:
    username: root
    password: 123456
    url: jdbc:mysql://127.0.0.1:3306/komo?characterEncoding=utf-8
    driver-class-name: com.mysql.jdbc.Driver

修改config目录下的配置

KomoDataSourceConfig.java
package com.example.druiddemo.config;

import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import javax.sql.DataSource;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.web.servlet.FilterRegistrationBean;
import org.springframework.boot.web.servlet.ServletRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.jdbc.datasource.DataSourceTransactionManager;

/**
 * @author 
 * @date 2020-05-12 18:41
 */
@Configuration
@MapperScan(basePackages = KomoDataSourceConfig.PACKAGE, sqlSessionFactoryRef = "komoSqlSessionFactory")
public class KomoDataSourceConfig {

    /**
     * 配置多数据源 关键就在这里 这里配置了不同的数据源扫描不同mapper
     */
    static final String PACKAGE = "com.example.druiddemo.mapper.komo";
    static final String MAPPER_LOCATION = "classpath:mybatis/komo/mapper/*.xml";

    /**
     * 连接数据库信息 这个其实更好的是用配置中心完成
     */
    @Value("${komo.datasource.url}")
    private String url;

    @Value("${komo.datasource.username}")
    private String username;

    @Value("${komo.datasource.password}")
    private String password;

    @Value("${komo.datasource.driver-class-name}")
    private String driverClassName;


    @Bean
    public ServletRegistrationBean druidServlet() {
        ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
        // IP白名单
        servletRegistrationBean.addInitParameter("allow", "127.0.0.1");
        // IP黑名单(共同存在时,deny优先于allow)
//        servletRegistrationBean.addInitParameter("deny", "192.168.1.100");
        //控制台管理用户
        servletRegistrationBean.addInitParameter("loginUsername", "admin");
        servletRegistrationBean.addInitParameter("loginPassword", "admin");
        //是否能够重置数据 禁用HTML页面上的“Reset All”功能
        servletRegistrationBean.addInitParameter("resetEnable", "false");
        return servletRegistrationBean;
    }


    @Bean
    public FilterRegistrationBean filterRegistrationBean() {
        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
        filterRegistrationBean.addUrlPatterns("/*");
        filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
        return filterRegistrationBean;
    }
//    注解@Primary表示是主数据源
    @Bean("komoDataSource")
    @Primary
    public DataSource komoDataSource(){
        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setUrl(url);
        dataSource.setUsername(username);
        dataSource.setPassword(password);
        dataSource.setDriverClassName(driverClassName);
        return dataSource;
    }

    @Bean(name = "komoTransactionManager")
    @Primary
    public DataSourceTransactionManager masterTransactionManager() {
        return new DataSourceTransactionManager(komoDataSource());
    }

    @Bean(name = "komoSqlSessionFactory")
    @Primary
    public SqlSessionFactory masterSqlSessionFactory(@Qualifier("komoDataSource") DataSource masterDataSource)
            throws Exception {
        final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
        sessionFactory.setDataSource(masterDataSource);
        sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver().getResources(KomoDataSourceConfig.MAPPER_LOCATION));

        return sessionFactory.getObject();
    }
}
MfwDataSourceConfig.java
package com.example.druiddemo.config;

import com.alibaba.druid.pool.DruidDataSource;
import javax.sql.DataSource;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.jdbc.datasource.DataSourceTransactionManager;

/**
 * @author 
 * @date 2020-05-12 18:41
 */
@Configuration
@MapperScan(basePackages = MfwDataSourceConfig.PACKAGE, sqlSessionFactoryRef = "mfwSqlSessionFactory")
public class MfwDataSourceConfig {

    /**
     * 配置多数据源 关键就在这里 这里配置了不同的数据源扫描不同mapper
     */
    static final String PACKAGE = "com.example.druiddemo.mapper.mfw";
    static final String MAPPER_LOCATION = "classpath:mybatis/mfw/mapper/*.xml";

    /**
     * 连接数据库信息 这个其实更好的是用配置中心完成
     */
    @Value("${mfw.datasource.url}")
    private String url;

    @Value("${mfw.datasource.username}")
    private String username;

    @Value("${mfw.datasource.password}")
    private String password;

    @Value("${mfw.datasource.driver-class-name}")
    private String driverClassName;

    @Bean("mfwDataSource")
    public DataSource mfwDataSource(){

        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setUrl(url);
        dataSource.setUsername(username);
        dataSource.setPassword(password);
        dataSource.setDriverClassName(driverClassName);
        return dataSource;
    }

    @Bean(name = "mfwTransactionManager")
    public DataSourceTransactionManager masterTransactionManager() {
        return new DataSourceTransactionManager(mfwDataSource());
    }

    @Bean(name = "mfwSqlSessionFactory")
    public SqlSessionFactory masterSqlSessionFactory(@Qualifier("mfwDataSource") DataSource masterDataSource)
            throws Exception {
        final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
        sessionFactory.setDataSource(masterDataSource);
        sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver().getResources(MfwDataSourceConfig.MAPPER_LOCATION));

        return sessionFactory.getObject();
    }
}
UserController.java
package com.example.druiddemo.controller;


import com.example.druiddemo.common.PageDTO;
import com.example.druiddemo.dao.komo.User;
import com.example.druiddemo.dao.mfw.BaseUser;
import com.example.druiddemo.service.BaseUserService;
import com.example.druiddemo.service.UserService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;

/**
 * @author 
 * @date 2020-04-30 18:47
 */
@RequestMapping("/user")
@RestController
public class UserController {

    @Autowired
    private UserService userService;

    @Autowired
    private BaseUserService baseUserService;

    @GetMapping("/one")
    public User getOne(@RequestParam("id") Integer id){
        return userService.getOne(id);
    }

    @GetMapping("/list")
    public PageDTO<User> getList(@RequestParam(value = "page",defaultValue = "1") Integer page,
            @RequestParam(value = "limit",defaultValue = "10") Integer limit){
        return userService.getList(page,limit);
    }

    @GetMapping("/base")
    public BaseUser getBase(@RequestParam("id") Integer id){
        return baseUserService.getOne(id);
    }


}

启动类Application修改

package com.example.druiddemo;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration;

// 去掉自动数据库自动配置类
@SpringBootApplication(exclude = {DataSourceAutoConfiguration.class})
public class DruidDemoApplication {

    public static void main(String[] args) {
        SpringApplication.run(DruidDemoApplication.class, args);
        System.out.println("============= druid-demo application start =============");
    }

}

演示效果

http://127.0.0.1:7080/user/one?id=1

【sping-boot】druid 连接池配置多个数据源

 http://127.0.0.1:7080/user/base?id=1

【sping-boot】druid 连接池配置多个数据源

 http://localhost:7080/druid/index.html

【sping-boot】druid 连接池配置多个数据源

 http://localhost:7080/druid/weburi.html

【sping-boot】druid 连接池配置多个数据源

代码地址

https://github.com/KoMiles/spring-example/tree/master/druid-demo

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