从零搭建本身的SpringBoot后台框架(十一)

Hello你们好，本章咱们配置多数据源功能 。有问题能够联系我mr_beany@163.com。另求各路大神指点，感谢

一：配置数据源

修改application.properties

spring.datasource.db1.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.db1.url=jdbc:mysql://localhost:3333/demo?useSSL=false&useUnicode=true&characterEncoding=utf-8&zeroDateTimeBehavior=convertToNull&transformedBitIsBoolean=true&autoReconnect=true&failOverReadOnly=false
spring.datasource.db1.username=root
spring.datasource.db1.password=123456
spring.datasource.db1.initialSize=5
spring.datasource.db1.minIdle=5
spring.datasource.db1.maxActive=20
#链接等待超时时间
spring.datasource.db1.maxWait=60000
#配置隔多久进行一次检测(检测能够关闭的空闲链接)
spring.datasource.db1.timeBetweenEvictionRunsMillis=60000
#配置链接在池中的最小生存时间
spring.datasource.db1.minEvictableIdleTimeMillis=300000
spring.datasource.db1.validationQuery=SELECT 1 FROM DUAL
spring.datasource.db1.testWhileIdle=true
spring.datasource.db1.testOnBorrow=false
spring.datasource.db1.testOnReturn=false
# 打开PSCache，而且指定每一个链接上PSCache的大小
spring.datasource.db1.poolPreparedStatements=true
spring.datasource.db1.maxPoolPreparedStatementPerConnectionSize=20
# 配置监控统计拦截的filters，去掉后监控界面sql没法统计，'wall'用于防火墙
spring.datasource.db1.filters=stat,wall,slf4j
# 经过connectProperties属性来打开mergeSql功能；慢SQL记录
spring.datasource.db1.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000


spring.datasource.db2.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.db2.url=jdbc:mysql://localhost:3306/chuchen?useSSL=false&useUnicode=true&characterEncoding=utf-8&zeroDateTimeBehavior=convertToNull&transformedBitIsBoolean=true&autoReconnect=true&failOverReadOnly=false
spring.datasource.db2.username=root
spring.datasource.db2.password=123456
spring.datasource.db2.initialSize=5
spring.datasource.db2.minIdle=5
spring.datasource.db2.maxActive=20
#链接等待超时时间
spring.datasource.db2.maxWait=60000
#配置隔多久进行一次检测(检测能够关闭的空闲链接)
spring.datasource.db2.timeBetweenEvictionRunsMillis=60000
#配置链接在池中的最小生存时间
spring.datasource.db2.minEvictableIdleTimeMillis=300000
spring.datasource.db2.validationQuery=SELECT 1 FROM DUAL
spring.datasource.db2.testWhileIdle=true
spring.datasource.db2.testOnBorrow=false
spring.datasource.db2.testOnReturn=false
# 打开PSCache，而且指定每一个链接上PSCache的大小
spring.datasource.db2.poolPreparedStatements=true
spring.datasource.db2.maxPoolPreparedStatementPerConnectionSize=20
# 配置监控统计拦截的filters，去掉后监控界面sql没法统计，'wall'用于防火墙
spring.datasource.db2.filters=stat,wall,slf4j
# 经过connectProperties属性来打开mergeSql功能；慢SQL记录
spring.datasource.db2.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000复制代码

注意修改成本身的数据库链接

二：建立数据源配置

MysqlDataSource1Config

package com.example.demo.core.configurer.dataSource;

import com.alibaba.druid.pool.DruidDataSource;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.springframework.beans.factory.annotation.Qualifier;
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 org.springframework.core.io.Resource;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.jdbc.datasource.DataSourceTransactionManager;
import org.springframework.transaction.annotation.EnableTransactionManagement;
import tk.mybatis.spring.annotation.MapperScan;

import javax.sql.DataSource;

@Configuration
@EnableTransactionManagement
@MapperScan(basePackages = {"com.example.demo.dao.db1"})
public class MysqlDataSource1Config {

    @Bean(name = "primaryDataSource")
    //需设置主数据源
    @Primary
    @ConfigurationProperties(prefix="spring.datasource.db1")
    public DataSource dataSource(){
        //跟以前不同了
        return new DruidDataSource();
    }

    @Bean(name = "primaryTransactionManager")
    @Primary
    public DataSourceTransactionManager masterTransactionManager() {
        return new DataSourceTransactionManager(dataSource());

    }

    @Bean(name="primarySqlSessionFactory")
    @Primary
    public SqlSessionFactory sqlSessionFactory(@Qualifier("primaryDataSource")DataSource primaryDataSource) throws Exception {
        SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
        sessionFactory.setDataSource(primaryDataSource);
        Resource[] mapperLocations = new PathMatchingResourcePatternResolver().getResources("classpath:mapper/db1/*.xml");
        sessionFactory.setMapperLocations(mapperLocations);
        return sessionFactory.getObject();
    }
}
复制代码

MysqlDataSource2Config

package com.example.demo.core.configurer.dataSource;


import com.alibaba.druid.pool.DruidDataSource;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.Resource;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import tk.mybatis.spring.annotation.MapperScan;

import javax.sql.DataSource;

@Configuration
@MapperScan(basePackages = {"com.example.demo.dao.db2"}, sqlSessionFactoryRef = "secondSqlSessionFactory")
public class MysqlDataSource2Config {

    @Bean(name = "secondDataSource")
    @ConfigurationProperties(prefix = "spring.datasource.db2")
    public DataSource dataSource() {
        return new DruidDataSource();
    }

    @Bean(name = "secondSqlSessionFactory")
    public SqlSessionFactory sqlSessionFactory() throws Exception {
        SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
        sessionFactory.setDataSource(dataSource());
        Resource[] mapperLocations = new PathMatchingResourcePatternResolver().getResources("classpath:mapper/db2/*.xml");
        sessionFactory.setMapperLocations(mapperLocations);
        return sessionFactory.getObject();
    }
}复制代码

三：修改目录结构

目录结构以下图，db1为主数据源，db2为从数据源，这样根据访问dao层不一样，会自动进行数据源切换

四：功能测试

输入http://localhost:8080/userInfo/selectAll

结果：

{
    "code": 200,
    "data": {
        ....省略
        "list": [
            {
                "id": "1",
                "userName": "Mr_初晨"
            },
            {
                "id": "2",
                "userName": "Mr_初晨"
            }
        ],
        .....省略
    },
    "msg": "success"
}复制代码

输入http://localhost:8080/userLabel/list

结果：

{
    "code": 200,
    "data": {
        ....省略
        "list": [
             {
                "createTime": 1523283547000,
                "id": "24084baed3c6409a8619a635bf4428a1",
                "labelId": "4",
                "userId": "1"
            }
        ],
        .....省略
    },
    "msg": "success"
}复制代码

输入http://localhost:8080/druid/datasource.html

也能够看见有两个数据源

项目地址

码云地址： gitee.com/beany/mySpr…

GitHub地址： github.com/MyBeany/myS…

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结尾

配置多数据源功能已完成，后续功能接下来陆续更新，有问题能够联系我mr_beany@163.com。另求各路大神指点，感谢你们。