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  • springboot 2.1.3 + mybatis + druid配置多数据源

    在一些大型的项目中,通常会选择多数据库来满足一些业务需求,此处讲解使用springboot、mybatis和druid来配置多数据源

    1、依赖配置

      pom文件引入相关依赖

            <dependency>
                <groupId>org.mybatis.spring.boot</groupId>
                <artifactId>mybatis-spring-boot-starter</artifactId>
                <version>2.0.0</version>
            </dependency>
            <dependency>
                <groupId>com.alibaba</groupId>
                <artifactId>druid-spring-boot-starter</artifactId>
                <version>1.1.9</version>
            </dependency>
    
            <dependency>
                <groupId>mysql</groupId>
                <artifactId>mysql-connector-java</artifactId>
                <scope>runtime</scope>
            </dependency>    

      application文件加入多数据源配置

      spring:
            datasource:
                type: com.alibaba.druid.pool.DruidDataSource
                driverClassName: com.mysql.cj.jdbc.Driver
                druid:
                    # 主库数据源
                    master:
                        url: jdbc:mysql://localhost:3306/springboot?serverTimezone=GMT%2B8&useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=false
                        username: root
                        password: root
                    # 从库数据源
                    slave:
                        url: jdbc:mysql://ip:3306/springboot?serverTimezone=GMT%2B8&useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=false
                        username: root
                        password: root
                    # 初始连接数
                    initial-size: 10
                    # 最大连接池数量
                    max-active: 100
                    # 最小连接池数量
                    min-idle: 10
                    # 配置获取连接等待超时的时间
                    max-wait: 60000
                    # 打开PSCache,并且指定每个连接上PSCache的大小
                    pool-prepared-statements: true
                    max-pool-prepared-statement-per-connection-size: 20
                    # 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
                    timeBetweenEvictionRunsMillis: 60000
                    # 配置一个连接在池中最小生存的时间,单位是毫秒
                    min-evictable-idle-time-millis: 300000
                    validation-query: SELECT 1 FROM DUAL
                    test-while-idle: true
                    test-on-borrow: false
                    test-on-return: false
                    stat-view-servlet:
                        enabled: true
                        url-pattern: /monitor/druid/*
                    filter:
                        stat:
                            log-slow-sql: true
                            slow-sql-millis: 1000
                            merge-sql: false
                        wall:
                            config:
                                multi-statement-allow: true
                                

    2、添加主数据源和其他数据源配置

      主数据源

    @Configuration
    //master mapper目录
    @MapperScan(basePackages = {"com.example.springbootdruidmultsource.mapper.master"}, sqlSessionFactoryRef = "masterSqlSessionFactory")
    public class MasterDataSourcesConfig {
       
        private static final String MAPPER_LOCAL = "classpath:mybatis/master/*.xml";
    
        @ConfigurationProperties("spring.datasource.druid.master")
        @Primary
        @Bean(name = "masterDataSource")
        public DruidDataSource druidDataSource() {
            return new DruidDataSource();
        }
    
        @Bean(name = "masterTransactionManager")
        @Primary
        public DataSourceTransactionManager masterTransactionManager() {
            return new DataSourceTransactionManager(druidDataSource());
        }
    
        @Bean(name = "masterSqlSessionFactory")
        @Primary
        public SqlSessionFactory masterSqlSessionFactory(@Qualifier("masterDataSource") DataSource dataSource) throws Exception {
            final SqlSessionFactoryBean sessionFactoryBean = new SqlSessionFactoryBean();
            sessionFactoryBean.setDataSource(dataSource);
            sessionFactoryBean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources(MAPPER_LOCAL));
            return sessionFactoryBean.getObject();
        }
    }

    其中注解@Primary表示是主数据源

      从数据源

    @Configuration
    @MapperScan(basePackages = {"com.example.springbootdruidmultsource.mapper.slave"}, sqlSessionFactoryRef = "slaveSqlSessionFactory")
    public class SlaveDataSourcesConfig {
    
        private static final String MAPPER_LOCAL = "classpath:mybatis/slave/*.xml";
    
        @Bean(name = "slaveDataSource")
        @ConfigurationProperties("spring.datasource.druid.slave")
        public DruidDataSource druidDataSource() {
            return new DruidDataSource();
        }
    
       //其他数据源的事务管理器 @Bean(name
    = "slaveTransactionManager") public DataSourceTransactionManager slaveTransactionManager() { return new DataSourceTransactionManager(druidDataSource()); } @Bean(name = "slaveSqlSessionFactory") public SqlSessionFactory slaveSqlSessionFactory(@Qualifier("slaveDataSource") DruidDataSource dataSource) throws Exception { final SqlSessionFactoryBean sessionFactoryBean = new SqlSessionFactoryBean(); sessionFactoryBean.setDataSource(dataSource); sessionFactoryBean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources(MAPPER_LOCAL)); return sessionFactoryBean.getObject(); } }

    其他的就是mybatis相关的一些内容,这里不赘述

    3、事务管理

    对主数据原来说,直接在注解

        @Override
        @Transactional
        public void update(SysUser sysUser) {
            sysUserMapper.update(sysUser);
            int i = 10 / 0;
        }

    对其他数据源来说,需要加上配置的事务管理器

        @Override
        @Transactional(value = "slaveTransactionManager")
        public void update(User user) {
            userMapper.update(user);
            int i = 10 / 0;
        }

    源码参照:Github

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  • 原文地址:https://www.cnblogs.com/kingsonfu/p/10427408.html
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