[Full-stack Development Guide] GitEgg-Cloud enables sub-database and sub-table configuration

  Because in actual business applications, most business requirements do not reach the level of sharding into databases and tables. Some businesses that are slightly more complex may be handled by sharding into databases and do not require table sharding, so the comments here turn off shardingsphere-jdbc sharding. The configuration of database sharding and Seata distributed transactions only retains the configuration of dynamic-datasource dynamic multiple data sources. If you need to use sharding and distributed transactions, just turn on the comments.
1. Open the dependency annotation of shardingsphere-jdbc in gitegg-platform-db

        <!-- Sharding-Jdbc -->
        <dependency>
            <groupId>org.apache.shardingsphere</groupId>
            <artifactId>shardingsphere-jdbc-core-spring-boot-starter</artifactId>
        </dependency>
        <dependency>
            <groupId>org.apache.shardingsphere</groupId>
            <artifactId>shardingsphere-jdbc-core-spring-namespace</artifactId>
        </dependency>

2. Open the configuration comments of DynamicDataSourceProviderConfig.java in gitegg-platform-db

@Configuration
@AutoConfigureBefore(DynamicDataSourceAutoConfiguration.class)
public class DynamicDataSourceProviderConfig {

    @Resource
    private DynamicDataSourceProperties properties;

    /**
     * shardingSphereDataSource
     */
    @Lazy
    @Resource(name = "shardingSphereDataSource")
    private DataSource shardingSphereDataSource;

    @Bean
    public DynamicDataSourceProvider dynamicDataSourceProvider() {
        Map<String, DataSourceProperty> datasourceMap = properties.getDatasource();
        return new AbstractDataSourceProvider() {
            @Override
            public Map<String, DataSource> loadDataSources() {
                Map<String, DataSource> dataSourceMap = createDataSourceMap(datasourceMap);
                dataSourceMap.put("sharding", shardingSphereDataSource);
                return dataSourceMap;
            }
        };
    }

    /**
     * 将动态数据源设置为首选的
     * 当spring存在多个数据源时, 自动注入的是首选的对象
     * 设置为主要的数据源之后，就可以支持shardingjdbc原生的配置方式了
     */
    @Primary
    @Bean
    public DataSource dataSource(DynamicDataSourceProvider dynamicDataSourceProvider) {
        DynamicRoutingDataSource dataSource = new DynamicRoutingDataSource();
        dataSource.setPrimary(properties.getPrimary());
        dataSource.setStrict(properties.getStrict());
        dataSource.setStrategy(properties.getStrategy());
        dataSource.setProvider(dynamicDataSourceProvider);
        dataSource.setP6spy(properties.getP6spy());
        dataSource.setSeata(properties.getSeata());
        return dataSource;
    }
}

3. Modify the sub-database and sub-table rules of the configuration file shardingsphere-jdbc

  # shardingsphere 配置
  shardingsphere:
    props:
      sql:
        show: true
    datasource:
      common:
        type: com.alibaba.druid.pool.DruidDataSource
        validationQuery: SELECT 1 FROM DUAL        
      names: shardingorder0,shardingorder1
      shardingorder0:
        type: com.alibaba.druid.pool.DruidDataSource
        url: jdbc:mysql://127.0.0.1/gitegg_cloud_mall_order0?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf8&all owMultiQueries=true&serverTimezone=Asia/Shanghai
        username: root
        password: root
      shardingorder1:
        type: com.alibaba.druid.pool.DruidDataSource
        url: jdbc:mysql://127.0.0.1/gitegg_cloud_mall_order1?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf8&all owMultiQueries=true&serverTimezone=Asia/Shanghai
        username: root
        password: root
    rules:
      sharding:
        tables:
          t_mall_order:
            actual-data-nodes: shardingorder$->{0..1}.t_mall_order$->{0..1}
            # 配置分库策略
            databaseStrategy:
              standard:
                shardingColumn: id
                shardingAlgorithmName: database-inline
            table-strategy:
              standard:
                sharding-column: id
                sharding-algorithm-name: table-inline-order
            key-generate-strategy:
              column: id
              key-generator-name: snowflake
          t_mall_order_sku:
            actual-data-nodes: shardingorder$->{0..1}.t_mall_order_sku$->{0..1}
            # 配置分库策略
            databaseStrategy:
              standard:
                shardingColumn: id
                shardingAlgorithmName: database-inline
            table-strategy:
              standard:
                sharding-column: id
                sharding-algorithm-name: table-inline-order-sku
            key-generate-strategy:
              column: id
              key-generator-name: snowflake
        sharding-algorithms:
          database-inline:
            type: INLINE
            props:
              algorithm-expression: shardingorder$->{id % 2}
          table-inline-order:
            type: INLINE
            props:
              algorithm-expression: t_mall_order$->{id % 2}
          table-inline-order-sku:
            type: INLINE
            props:
              algorithm-expression: t_mall_order_sku$->{id % 2}
        key-generators:
          snowflake:
            type: SNOWFLAKE
            props:
              worker-id: 123

4. Open the distributed transaction configuration of the dynamic data source

      # 开启seata代理，开启后默认每个数据源都代理，如果某个不需要代理可单独关闭
      seata: true

5. Turn on the configuration switch of Seata itself

seata:
  enabled: true

6. Complete Nacos configuration file

spring:
  jackson:
    time-zone: Asia/Shanghai
    date-format: yyyy-MM-dd HH:mm:ss
  security:
    oauth2:
      resourceserver:
        jwt:
          jwk-set-uri: 'http://127.0.0.1/gitegg-oauth/oauth/public_key'
  autoconfigure:
    # 动态数据源排除默认配置
    exclude: com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceAutoConfigure
  # shardingsphere 配置
  shardingsphere:
    props:
      sql:
        show: true
    datasource:
      common:
        type: com.alibaba.druid.pool.DruidDataSource
        validationQuery: SELECT 1 FROM DUAL        
      names: shardingorder0,shardingorder1
      shardingorder0:
        type: com.alibaba.druid.pool.DruidDataSource
        url: jdbc:mysql://127.0.0.1/gitegg_cloud_mall_order0?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf8&all owMultiQueries=true&serverTimezone=Asia/Shanghai
        username: root
        password: root
      shardingorder1:
        type: com.alibaba.druid.pool.DruidDataSource
        url: jdbc:mysql://127.0.0.1/gitegg_cloud_mall_order1?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf8&all owMultiQueries=true&serverTimezone=Asia/Shanghai
        username: root
        password: root
    rules:
      sharding:
        tables:
          t_mall_order:
            actual-data-nodes: shardingorder$->{0..1}.t_mall_order$->{0..1}
            # 配置分库策略
            databaseStrategy:
              standard:
                shardingColumn: id
                shardingAlgorithmName: database-inline
            table-strategy:
              standard:
                sharding-column: id
                sharding-algorithm-name: table-inline-order
            key-generate-strategy:
              column: id
              key-generator-name: snowflake
          t_mall_order_sku:
            actual-data-nodes: shardingorder$->{0..1}.t_mall_order_sku$->{0..1}
            # 配置分库策略
            databaseStrategy:
              standard:
                shardingColumn: id
                shardingAlgorithmName: database-inline
            table-strategy:
              standard:
                sharding-column: id
                sharding-algorithm-name: table-inline-order-sku
            key-generate-strategy:
              column: id
              key-generator-name: snowflake
        sharding-algorithms:
          database-inline:
            type: INLINE
            props:
              algorithm-expression: shardingorder$->{id % 2}
          table-inline-order:
            type: INLINE
            props:
              algorithm-expression: t_mall_order$->{id % 2}
          table-inline-order-sku:
            type: INLINE
            props:
              algorithm-expression: t_mall_order_sku$->{id % 2}
        key-generators:
          snowflake:
            type: SNOWFLAKE
            props:
              worker-id: 123
  datasource: 
    druid:
      stat-view-servlet:
        enabled: true
        loginUsername: admin
        loginPassword: 123456
    dynamic:
      # 设置默认的数据源或者数据源组,默认值即为master
      primary: master
      # 设置严格模式,默认false不启动. 启动后在未匹配到指定数据源时候会抛出异常,不启动则使用默认数据源.
      strict: false
      # 开启seata代理，开启后默认每个数据源都代理，如果某个不需要代理可单独关闭
      seata: true
      #支持XA及AT模式,默认AT
      seata-mode: AT
      druid:
        initialSize: 1
        minIdle: 3
        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: 30000
        validationQuery: select 'x'
        testWhileIdle: true
        testOnBorrow: false
        testOnReturn: false
        # 打开PSCache，并且指定每个连接上PSCache的大小
        poolPreparedStatements: true
        maxPoolPreparedStatementPerConnectionSize: 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: config,stat,slf4j
        # 通过connectProperties属性来打开mergeSql功能；慢SQL记录
        connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000;
        # 合并多个DruidDataSource的监控数据
        useGlobalDataSourceStat: true
      datasource: 
        master: 
          url: jdbc:mysql://127.0.0.1/gitegg_cloud?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf8&all owMultiQueries=true&serverTimezone=Asia/Shanghai
          username: root
          password: root
        mall_user:
          url: jdbc:mysql://127.0.0.1/gitegg_cloud_mall_user?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf8&allowMultiQueries=true&serverTimezone=Asia/Shanghai
          username: root
          password: root
        mall_goods:
          url: jdbc:mysql://127.0.0.1/gitegg_cloud_mall_goods?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf8&allowMultiQueries=true&serverTimezone=Asia/Shanghai
          username: root
          password: root
        mall_order:
          url: jdbc:mysql://127.0.0.1/gitegg_cloud_mall_order?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf8&allowMultiQueries=true&serverTimezone=Asia/Shanghai
          username: root
          password: root
        mall_pay:
          url: jdbc:mysql://127.0.0.1/gitegg_cloud_mall_pay?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf8&alowMultiQueries=true&serverTimezone=Asia/Shanghai
          username: root
          password: root
  cloud:
    sentinel:
      filter:
        enabled: true
      transport:
        port: 8719
        dashboard: 127.0.0.1:8086
      eager: true
      datasource:
        ds2:
          nacos:
            data-type: json
            server-addr: 127.0.0.1:8848
            dataId: ${spring.application.name}-sentinel
            groupId: DEFAULT_GROUP
            rule-type: flow
  redis:
    database: 1
    host: 127.0.0.1
    port: 6312
    password: myredis4Hisc
    ssl: false
    timeout: 2000
  redisson: 
    config: |
      singleServerConfig:
        idleConnectionTimeout: 10000
        connectTimeout: 10000
        timeout: 3000
        retryAttempts: 3
        retryInterval: 1500
        password: myredis4Hisc
        subscriptionsPerConnection: 5
        clientName: null
        address: "redis://127.0.0.1:6312"
        subscriptionConnectionMinimumIdleSize: 1
        subscriptionConnectionPoolSize: 50
        connectionMinimumIdleSize: 32
        connectionPoolSize: 64
        database: 0
        dnsMonitoringInterval: 5000
      threads: 0
      nettyThreads: 0
      codec: !<org.redisson.codec.JsonJacksonCodec> {}
      "transportMode":"NIO"
#业务系统相关初始化参数
system:
    #登录密码默认最大尝试次数
    maxTryTimes: 5
    #不需要验证码登录的最大次数
    maxNonCaptchaTimes: 2
    #注册用户默认密码
    defaultPwd: 12345678
    #注册用户默认角色ID
    defaultRoleId: 4
    #注册用户默认组织机构ID
    defaultOrgId: 79
    #不需要数据权限过滤的角色key
    noDataFilterRole: DATA_NO_FILTER
    #AccessToken过期时间（秒）默认为2小时
    accessTokenExpiration: 60
    #RefreshToken过期时间（秒）默认为24小时
    refreshTokenExpiration: 300
feign:
  hystrix:
    enabled: false
  compression:
    # 配置响应 GZIP 压缩
    response: 
      enabled: true
    # 配置请求 GZIP 压缩
    request:
      enabled: true
      # 支持压缩的mime types
      mime-types: text/xml,application/xml,application/json
      # 配置压缩数据大小的最小阀值，默认 2048
      min-request-size: 2048
  client:
    config:
      default:
        connectTimeout: 8000
        readTimeout: 8000
        loggerLevel: FULL
#Ribbon配置
ribbon:
  #请求连接的超时时间
  ConnectTimeout: 50000
  #请求处理/响应的超时时间
  ReadTimeout: 50000
  #对所有操作请求都进行重试，如果没有实现幂等的情况下是很危险的,所以这里设置为false
  OkToRetryOnAllOperations: false
  #切换实例的重试次数
  MaxAutoRetriesNextServer: 5
  #当前实例的重试次数
  MaxAutoRetries: 5
  #负载均衡策略
  NFLoadBalancerRuleClassName: com.alibaba.cloud.nacos.ribbon.NacosRule
#Sentinel端点配置
management:
  endpoints:
    web:
      exposure:
        include: '*'
mybatis-plus:
  mapper-locations: classpath*:/com/gitegg/*/*/mapper/*Mapper.xml
  typeAliasesPackage: com.gitegg.*.*.entity
  global-config:
    #主键类型  0:"数据库ID自增", 1:"用户输入ID",2:"全局唯一ID (数字类型唯一ID)", 3:"全局唯一ID UUID";
    id-type: 2
    #字段策略 0:"忽略判断",1:"非 NULL 判断"),2:"非空判断"
    field-strategy: 2
    #驼峰下划线转换
    db-column-underline: true
    #刷新mapper 调试神器
    refresh-mapper: true
    #数据库大写下划线转换
    #capital-mode: true
    #逻辑删除配置
    logic-delete-value: 1
    logic-not-delete-value: 0
  configuration:
    map-underscore-to-camel-case: true
    cache-enabled: false
    log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
# 多租户配置
tenant:
  # 是否开启租户模式
  enable: true
  # 需要排除的多租户的表
  exclusionTable:
    - "t_sys_district"
    - "t_sys_tenant"
    - "t_sys_role"
    - "t_sys_resource"
    - "t_sys_role_resource"
    - "oauth_client_details"
  # 租户字段名称
  column: tenant_id
seata:
  enabled: true
  application-id: ${spring.application.name}
  tx-service-group: gitegg_seata_tx_group
  # 一定要是false
  enable-auto-data-source-proxy: false
  service:
    vgroup-mapping:
      #key与上面的gitegg_seata_tx_group的值对应
      gitegg_seata_tx_group: default
  config:
    type: nacos
    nacos:
      namespace:
      serverAddr: 127.0.0.1:8848
      group: SEATA_GROUP
      userName: "nacos"
      password: "nacos"
  registry:
    type: nacos
    nacos:
      #seata服务端(TC)在nacos中的应用名称
      application: seata-server
      server-addr: 127.0.0.1:8848
      namespace:
      userName: "nacos"
      password: "nacos"
#验证码配置
captcha:
  #验证码的类型 sliding: 滑动验证码 image: 图片验证码
  type: sliding
aj:
  captcha:
    #缓存local/redis...
    cache-type: redis
    #local缓存的阈值,达到这个值，清除缓存
    #cache-number=1000
    #local定时清除过期缓存(单位秒),设置为0代表不执行
    #timing-clear=180
    #验证码类型default两种都实例化。
    type: default
    #汉字统一使用Unicode,保证程序通过@value读取到是中文，在线转换 https://tool.chinaz.com/tools/unicode.aspx 中文转Unicode
    #右下角水印文字(我的水印)
    water-mark: GitEgg
    #右下角水印字体(宋体)
    water-font: 宋体
    #点选文字验证码的文字字体(宋体)
    font-type: 宋体
    #校验滑动拼图允许误差偏移量(默认5像素)
    slip-offset: 5
    #aes加密坐标开启或者禁用(true|false)
    aes-status: true
    #滑动干扰项(0/1/2) 1.2.2版本新增
    interference-options: 2
    # 接口请求次数一分钟限制是否开启 true|false
    req-frequency-limit-enable: true
    # 验证失败5次，get接口锁定
    req-get-lock-limit: 5
    # 验证失败后，锁定时间间隔,s
    req-get-lock-seconds: 360
    # get接口一分钟内请求数限制
    req-get-minute-limit: 30
    # check接口一分钟内请求数限制
    req-check-minute-limit: 60
    # verify接口一分钟内请求数限制
    req-verify-minute-limit: 60
#SMS短信通用配置
sms:
  #手机号码正则表达式，为空则不做验证
  reg:
  #负载均衡类型 可选值: Random、RoundRobin、WeightRandom、WeightRoundRobin
  load-balancer-type: Random
  web:
    #启用web端点
    enable: true
    #访问路径前缀
    base-path: /commons/sms
  verification-code:
    #验证码长度
    code-length: 6
    #为true则验证失败后删除验证码
    delete-by-verify-fail: false
    #为true则验证成功后删除验证码
    delete-by-verify-succeed: true
    #重试间隔时间，单位秒
    retry-interval-time: 60
    #验证码有效期，单位秒
    expiration-time: 180
    #识别码长度
    identification-code-length: 3
    #是否启用识别码
    use-identification-code: false
  redis:
    #验证码业务在保存到redis时的key的前缀
    key-prefix: VerificationCode
# 网关放行设置 1、whiteUrls不需要鉴权的公共url，白名单，配置白名单路径 2、authUrls需要鉴权的公共url
oauth-list:
  whiteUrls:
    - "/gitegg-oauth/login/phone"
    - "/gitegg-oauth/login/qr"
    - "/gitegg-oauth/oauth/token"
    - "/gitegg-oauth/oauth/public_key"
    - "/gitegg-oauth/oauth/captcha/type"
    - "/gitegg-oauth/oauth/captcha"
    - "/gitegg-oauth/oauth/captcha/check"
    - "/gitegg-oauth/oauth/captcha/image"
    - "/gitegg-oauth/oauth/sms/captcha/send"
  authUrls:
    - "/gitegg-oauth/oauth/user/info"
    - "/gitegg-oauth/oauth/logout"
    - "/gitegg-mall-goods/mall/goods/stock/reduce"
    - "/gitegg-mall-goods/mall/goods/list/by/id"
    - "/gitegg-mall-user/mall/user/account/deduction"
    - "/gitegg-mall-pay/mall/pay/pay"
    - "/gitegg-mall-order/mall/order/order"