Springboot使用sharedingjdbc实现分库分表

<dependency>
    <groupId>org.apache.shardingsphere</groupId>
    <artifactId>shardingsphere-jdbc-core-spring-boot-starter</artifactId>
</dependency>
<!-- ShardingJDBC 5.1.0使用druid连接池需要加dbcp依赖 -->
<dependency>
    <groupId>org.apache.tomcat</groupId>
    <artifactId>tomcat-dbcp</artifactId>
</dependency>

spring:
    ### 处理连接池冲突 #####
    main:
        allow-bean-definition-overriding: true
    shardingsphere:
        # 是否启用 Sharding
        enabled: false
        # 打印sql
        props:
          sql-show: false
        datasource:
            names: ds0
            ds0:
                type: com.alibaba.druid.pool.DruidDataSource
                driver-class-name: com.mysql.cj.jdbc.Driver
#                url: jdbc:mysql://123.57.164.186:13306/digital_constr?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8
#                username: root
#                password: JoygisIot@2023
                url: jdbc:mysql://123.57.23.160:13306/digital_constr?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=false&serverTimezone=GMT%2B8
                username: root
                password: JoygisIot@2023
                # 数据源其他配置
                initialSize: 5
                minIdle: 5
                maxActive: 20
                maxWait: 60000
                timeBetweenEvictionRunsMillis: 60000
                minEvictableIdleTimeMillis: 300000
                validationQuery: SELECT 1 FROM DUAL
                testWhileIdle: true,
                testOnBorrow: false
                testOnReturn: false
                poolPreparedStatements: true
                # 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,log4j
                maxPoolPreparedStatementPerConnectionSize: 20
                useGlobalDataSourceStat: true
                connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
        rules:
            sharding:
                # 表策略配置
                tables:
                    # t_user 是逻辑表
                    b_compaction_data:
                        # 配置数据节点，这里是按月分表
                        # 示例1：时间范围设置在202201 ~ 210012
                        # actualDataNodes: mydb.t_user_$->{2022..2100}0$->{1..9},mydb.t_user_$->{2022..2100}1$->{0..2}
                        # 示例2：时间范围设置在202201 ~ 202203
                        #actualDataNodes: ds${0..1}.tmp_order_item
                        actualDataNodes: ds0.b_compaction_data
                        tableStrategy:
                            complex:
                                sharding-columns: gps_time,sn
                                algorithm-class-name:
                                shardingAlgorithmName: time-sn-sharding-altorithm
                        keyGenerateStrategy:
                            column: id
                            keyGeneratorName: compaction-data-id
                # 分片算法配置
                keyGenerators:
                    compaction-data-id:
                        type: 'INCREMENT'
                shardingAlgorithms:
                    time-sn-sharding-altorithm:
                        # 类型：自定义策略
                        type: CLASS_BASED
                        props:
                            # 分片策略
                            strategy: complex
                            # 分片算法类
                            algorithmClassName: com.joygis.sharding.algorithm.ComplexTimeAndSnShardingAlgorithm