dataSources: cpp: dataSourceClassName: com.alibaba.druid.pool.DruidDataSource driverClassName: com.mysql.cj.jdbc.Driver url: jdbc:mysql://192.168.1.205:3306/cpp?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8 username: root password: '!QAZ2root' # 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 # 配置连接超时时间 connectTimeout: 30000 # 配置网络超时时间 socketTimeout: 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: ruoyi login-password: 123456 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 # cpp: # dataSourceClassName: com.zaxxer.hikari.HikariDataSource # driverClassName: com.mysql.jdbc.Driver # jdbcUrl: jdbc:mysql://192.168.1.205:3306/cpp?useUnicode=true&characterEncoding=UTF-8&serverTimezone=Asia/Shanghai # username: root # password: '!QAZ2root' # hikari: # minimum-idle: 5 # 最小空闲连接数量 # idle-timeout: 600000 # 空闲连接存活最大时间,默认为10分钟(600000毫秒),此处设置为3分钟(180000毫秒) # maximum-pool-size: 20 # 连接池最大连接数,默认为10 # auto-commit: true # 自动提交事务,默认为true # max-lifetime: 1800000 # 连接最大生命周期,默认为30分钟(1800000毫秒) # connection-timeout: 30000 # 数据库连接超时时间,默认为30秒(30000毫秒) rules: - !SHARDING tables: cpp_forecast_power_ultra_short_term_regulation: actualDataNodes: cpp.cpp_forecast_power_ultra_short_term_regulation tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_forecast_power_ultra_short_term_station: actualDataNodes: cpp.cpp_forecast_power_ultra_short_term_station tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_forecast_power_ultra_short_term_cloud: actualDataNodes: cpp.cpp_forecast_power_ultra_short_term_cloud tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_forecast_power_short_term_station: actualDataNodes: cpp.cpp_forecast_power_short_term_station tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_forecast_power_short_term_send: actualDataNodes: cpp.cpp_forecast_power_short_term_send tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_forecast_power_short_term_regulation: actualDataNodes: cpp.cpp_forecast_power_short_term_regulation tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_forecast_power_short_term_cloud: actualDataNodes: cpp.cpp_forecast_power_short_term_cloud tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_power_station_status_data: actualDataNodes: cpp.cpp_power_station_status_data tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_parsing_log: actualDataNodes: cpp.cpp_parsing_log tableStrategy: standard: shardingColumn: create_time shardingAlgorithmName: auto-custom cpp_weather_station_status_data: actualDataNodes: cpp.cpp_weather_station_status_data tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_wind_tower_status_data: actualDataNodes: cpp.cpp_wind_tower_status_data tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_wind_turbine_status_data: actualDataNodes: cpp.cpp_wind_turbine_status_data tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_inverter_status_data: actualDataNodes: cpp.cpp_inverter_status_data tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_nwp_cloud: actualDataNodes: cpp.cpp_nwp_cloud tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom cpp_nwp_station: actualDataNodes: cpp.cpp_nwp_station tableStrategy: standard: shardingColumn: time shardingAlgorithmName: auto-custom shardingAlgorithms: auto-custom: type: CLASS_BASED props: strategy: standard algorithmClassName: com.cpp.web.core.config.sharding.TimeShardingAlgorithm interval: type: INTERVAL props: datetime-pattern: 'yyyy-MM' datetime-lower: '2024-01' datetime-upper: '2025-12' sharding-suffix-pattern: 'yyyyMM' # 间隔大小 datetime-interval-amount: 1 datetime-interval-unit: 'Months' props: sql-show: false allow-range-query-with-inline-sharding: true