1.本次需求为同库分表

1.1 引入pom依赖

<!-- sharding-jdbc分库分表 -->
<dependency>
    <groupId>org.apache.shardingsphere</groupId>
    <artifactId>sharding-jdbc-core</artifactId>
    <version>4.1.1</version>
</dependency>

1.2 DruidConfig修改

1.3 新增ShardingDataSourceConfig

package com.ruoyi.framework.config;

import java.sql.SQLException;
import java.util.HashMap;
import java.util.Map;
import java.util.Properties;
import javax.sql.DataSource;
import org.apache.shardingsphere.api.config.sharding.KeyGeneratorConfiguration;
import org.apache.shardingsphere.api.config.sharding.ShardingRuleConfiguration;
import org.apache.shardingsphere.api.config.sharding.TableRuleConfiguration;
import org.apache.shardingsphere.api.config.sharding.strategy.InlineShardingStrategyConfiguration;
import org.apache.shardingsphere.shardingjdbc.api.ShardingDataSourceFactory;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceBuilder;
import com.ruoyi.framework.config.properties.DruidProperties;

/**
 * sharding 配置信息
 * 
 * @author ruoyi
 */
@Configuration
public class ShardingDataSourceConfig
{

    @Bean
    @ConfigurationProperties("spring.datasource.druid.master")
    public DataSource masterDataSource(DruidProperties druidProperties)
    {
        DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
        return druidProperties.dataSource(dataSource);
    }

    /*@Bean
    @ConfigurationProperties("spring.datasource.druid.order1")
    @ConditionalOnProperty(prefix = "spring.datasource.druid.order1", name = "enabled", havingValue = "true")
    public DataSource order1DataSource(DruidProperties druidProperties)
    {
        DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
        return druidProperties.dataSource(dataSource);
    }

    @Bean
    @ConfigurationProperties("spring.datasource.druid.order2")
    @ConditionalOnProperty(prefix = "spring.datasource.druid.order2", name = "enabled", havingValue = "true")
    public DataSource order2DataSource(DruidProperties druidProperties)
    {
        DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
        return druidProperties.dataSource(dataSource);
    }*/
    
    @Bean(name = "shardingDataSource")
    public DataSource shardingDataSource(@Qualifier("masterDataSource") DataSource masterDataSource) throws SQLException
    {
        Map<String, DataSource> dataSourceMap = new HashMap<>();
        dataSourceMap.put("master", masterDataSource);

        // sys_order 表规则配置
        TableRuleConfiguration orderTableRuleConfig = new TableRuleConfiguration("oct_hr_user_clock", "master.oct_hr_user_clock_$->{0..4}");
        // 配置分库策略 
        //orderTableRuleConfig.setDatabaseShardingStrategyConfig(new InlineShardingStrategyConfiguration("user_id", "order$->{user_id % 2 + 1}"));
        // 配置分表策略
        orderTableRuleConfig.setTableShardingStrategyConfig(new InlineShardingStrategyConfiguration("id", "oct_hr_user_clock_$->{id % 5}"));
        // 分布式主键
        orderTableRuleConfig.setKeyGeneratorConfig(new KeyGeneratorConfiguration("SNOWFLAKE", "id"));

        // 配置分片规则
        ShardingRuleConfiguration shardingRuleConfig = new ShardingRuleConfiguration();
        shardingRuleConfig.getTableRuleConfigs().add(orderTableRuleConfig);
        // 获取数据源对象
        DataSource dataSource = ShardingDataSourceFactory.createDataSource(dataSourceMap, shardingRuleConfig, getProperties());
        return dataSource;
    }

    /**
     * 系统参数配置
     */
    private Properties getProperties()
    {
        Properties shardingProperties = new Properties();
        shardingProperties.put("sql.show", true);
        return shardingProperties;
    }
}

 1.4 application.yml配置

# 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://192.168.1.86:3306/octv_hr_prod?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8&allowMultiQueries=true
                username: root
                password: root
        
            # 初始连接数
            initialSize: 5
            # 最小连接池数量
            minIdle: 10
            # 最大连接池数量
            maxActive: 20
            # 配置获取连接等待超时的时间
            maxWait: 60000
            # 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
            minEvictableIdleTimeMillis: 300000
            # 配置一个连接在池中最大生存的时间，单位是毫秒
            maxEvictableIdleTimeMillis: 900000
            # 配置检测连接是否有效
            validationQuery: SELECT 1 FROM DUAL
            testWhileIdle: true
            testOnBorrow: false
            testOnReturn: false
            webStatFilter: 
                enabled: true
            statViewServlet:
                enabled: true
                # 设置白名单，不填则允许所有访问
                allow:
                url-pattern: /druid/*
                # 控制台管理用户名和密码
                login-username: 
                login-password: 
            filter:
                stat:
                    enabled: true
                    # 慢SQL记录
                    log-slow-sql: true
                    slow-sql-millis: 1000
                    merge-sql: true
                wall:
                    config:
                        multi-statement-allow: true

1.5在分表的方法上加上切换数据源注解

1.6测试

前提：

1）手动创建表oct_hr_user_clock_0到oct_hr_user_clock_4