2020-10-19 17:44:19 +08:00
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spring:
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datasource:
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type: com.alibaba.druid.pool.DruidDataSource
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druid:
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driver-class-name: com.mysql.cj.jdbc.Driver
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2021-01-29 16:02:50 +08:00
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url: jdbc:mysql://192.168.50.232:3306/cell_db?useUnicode=true&characterEncoding=UTF-8&serverTimezone=Asia/Shanghai
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2020-10-19 17:44:19 +08:00
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username: user
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password: user@server001
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initial-size: 10
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max-active: 100
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min-idle: 10
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max-wait: 60000
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pool-prepared-statements: true
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max-pool-prepared-statement-per-connection-size: 20
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time-between-eviction-runs-millis: 60000
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min-evictable-idle-time-millis: 300000
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#validation-query: SELECT 1 FROM DUAL
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test-while-idle: true
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test-on-borrow: false
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test-on-return: false
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stat-view-servlet:
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enabled: true
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url-pattern: /druid/*
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login-username: admin
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login-password: admin
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allow: 61.185.224.80
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web-stat-filter:
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enabled: true
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filter:
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stat:
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log-slow-sql: true
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slow-sql-millis: 1000
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merge-sql: false
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enabled: true
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db-type: mysql
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wall:
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config:
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multi-statement-allow: true
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#sharding.jdbc:
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# data-sources:
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# ds_master:
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# driver-class-name: com.mysql.cj.jdbc.Driver
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# url: jdbc:mysql://localhost:3306/cell_db?useUnicode=true&characterEncoding=utf-8&useSSL=true
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# username: root
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# password: root
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# ds_slave_0:
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# driver-class-name: com.mysql.cj.jdbc.Driver
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# url: jdbc:mysql://localhost:3306/cell_db_0?useUnicode=true&characterEncoding=utf-8&useSSL=true
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# username: root
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# password: root
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# master-slave-rule:
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# name: ds_ms
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# master-data-source-name: ds_master
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# slave-data-source-names: ds_slave_0
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# load-balance-algorithm-type: round_robin
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#mybatis-plus:
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# mapper-locations: classpath*:/com/hjc/sharding/*/mapper/xml/*Mapper.xml
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# #实体扫描，多个package用逗号或者分号分隔
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# typeAliasesPackage: com.hjc.sharding.*.entity
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# global-config:
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# #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";
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# id-type: 2
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# #字段策略 0:"忽略判断",1:"非 NULL 判断"),2:"非空判断"
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# field-strategy: 2
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# #驼峰下划线转换
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# db-column-underline: true
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# #刷新mapper 调试神器
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# refresh-mapper: true
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# #数据库大写下划线转换
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# #capital-mode: true
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# #序列接口实现类配置
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# #key-generator: com.baomidou.springboot.xxx
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# #逻辑删除配置（下面3个配置）
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# logic-delete-value: 0
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# logic-not-delete-value: 1
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# #自定义SQL注入器
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# #sql-injector: com.baomidou.mybatisplus.mapper.LogicSqlInjector
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# #自定义填充策略接口实现
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# #meta-object-handler: com.baomidou.springboot.xxx
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# configuration:
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# map-underscore-to-camel-case: true
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# cache-enabled: fals
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#sharding:
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# jdbc:
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# datasource:
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# names: ds0
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# # 数据源ds0
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# ds0:
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# type: com.alibaba.druid.pool.DruidDataSource
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# driver-class-name: com.mysql.cj.jdbc.Driver
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# url: jdbc:mysql://localhost:3306/cell_db
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# username: root
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# password: root
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# config:
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# sharding:
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# props:
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# sql.show: true
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# tables:
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# ten_person: #t_user表
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# key-generator-column-name: id #主键
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# actual-data-nodes: ds0.ten_person${0..1} #数据节点,均匀分布
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# table-strategy: #分表策略
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# inline: #行表达式
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# sharding-column: id
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# algorithm-expression: ten_person${id % 2} #按模运算分配
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#spring:
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# shardingsphere:
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# datasource:
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# names: ds0,ds1
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# ds0:
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# type: com.alibaba.druid.pool.DruidDataSource
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# driver-class-name: com.mysql.cj.jdbc.Driver
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# jdbc-url: jdbc:mysql://localhost:3306/cell_db
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# username: root
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# password: root
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# ds1:
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# type: com.alibaba.druid.pool.DruidDataSource
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# driver-class-name: com.mysql.cj.jdbc.Driver
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# jdbc-url: jdbc:mysql://localhost:3306/cell_db_0
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# username: root
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# password: root
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# sharding:
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# tables:
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# t_order:
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# actual-data-nodes: ds$->{0..1}.t_order$->{0..1}
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# ## 指定分库规则
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# database-strategy:
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# inline:
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# sharding-column: user_id
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# algorithm-expression: ds$->{user_id % 2}
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# ## 指定分表规则
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# table-strategy:
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# inline:
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# sharding-column: order_id
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# algorithm-expression: t_order$->{order_id % 2}
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#
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# t_order_item:
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# actual-data-nodes: ds$->{0..1}.t_order_item$->{0..1}
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# ## 通过hint方式自定义分库规则
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# database-strategy:
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# hint:
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# algorithmClassName: com.hujy.demo.hint.HintSharding
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# ## 指定分表规则
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# table-strategy:
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# inline:
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# sharding-column: order_id
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# algorithm-expression: t_order_item$->{order_id % 2}
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# ## 生成分布式主键
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# key-generator:
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# column: item_id
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# type: SNOWFLAKE
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#
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# ## 绑定主表与子表，避免关联查询导致的全数据源路由
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# binding-tables: t_order,t_order_item
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#
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# ## 配置广播表：以广播的形式保存（如果只涉及查询的话可以不配置，会随机取一个数据源）
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# broadcast-tables: t_config
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#
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# ## 打印sql
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# props:
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# sql:
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# show: true
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#spring:
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# datasource:
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# # 数据源：shard_one
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# dataOne:
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# type: com.alibaba.druid.pool.DruidDataSource
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# druid:
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# driver-class-name: com.mysql.cj.jdbc.Driver
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# url: jdbc:mysql://localhost:3306/cell_db?useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false
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# username: root
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# password: root
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# initial-size: 10
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# max-active: 100
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# min-idle: 10
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# max-wait: 60000
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# pool-prepared-statements: true
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# max-pool-prepared-statement-per-connection-size: 20
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# time-between-eviction-runs-millis: 60000
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# min-evictable-idle-time-millis: 300000
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# max-evictable-idle-time-millis: 60000
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# validation-query: SELECT 1 FROM DUAL
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# # validation-query-timeout: 5000
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# test-on-borrow: false
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# test-on-return: false
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# test-while-idle: true
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# connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
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# # 数据源：shard_two
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# dataTwo:
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# type: com.alibaba.druid.pool.DruidDataSource
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# druid:
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# driverClassName: com.mysql.jdbc.Driver
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# url: jdbc:mysql://localhost:3306/cell_db?useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false
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# username: root
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# password: root
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# initial-size: 10
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# max-active: 100
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# min-idle: 10
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# max-wait: 60000
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# pool-prepared-statements: true
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# max-pool-prepared-statement-per-connection-size: 20
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# time-between-eviction-runs-millis: 60000
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# min-evictable-idle-time-millis: 300000
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# max-evictable-idle-time-millis: 60000
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# validation-query: SELECT 1 FROM DUAL
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# # validation-query-timeout: 5000
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# test-on-borrow: false
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# test-on-return: false
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# test-while-idle: true
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# connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
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# # 数据源：shard_three
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# dataThree:
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# type: com.alibaba.druid.pool.DruidDataSource
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# druid:
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# driverClassName: com.mysql.jdbc.Driver
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# url: jdbc:mysql://localhost:3306/cell_db?useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false
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# username: root
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# password: root
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# initial-size: 10
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# max-active: 100
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# min-idle: 10
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# max-wait: 60000
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# pool-prepared-statements: true
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# max-pool-prepared-statement-per-connection-size: 20
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# time-between-eviction-runs-millis: 60000
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# min-evictable-idle-time-millis: 300000
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# max-evictable-idle-time-millis: 60000
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# validation-query: SELECT 1 FROM DUAL
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# # validation-query-timeout: 5000
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# test-on-borrow: false
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# test-on-return: false
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# test-while-idle: true
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# connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
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#sharding:
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# jdbc:
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# type: com.alibaba.druid.pool.DruidDataSource
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# driverClassName: com.mysql.cj.jdbc.Driver
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# url: jdbc:mysql://localhost:3306/cell_db?useUnicode=true&characterEncoding=UTF-8
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# username: root
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# password: root
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# connectionProperties: config.decrypt=true;druid.stat.slowSqlMillis=3000;druid.stat.logSlowSql=true;druid.stat.mergeSql=true
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# filters: stat
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# maxActive: 100
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# initialSize: 1
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# maxWait: 15000
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# minIdle: 1
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# timeBetweenEvictionRunsMillis: 30000
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# minEvictableIdleTimeMillis: 180000
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# validationQuery: SELECT 'x'
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# testWhileIdle: true
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# testOnBorrow: false
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# testOnReturn: false
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# poolPreparedStatements: false
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# maxPoolPreparedStatementPerConnectionSize: 20
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# removeAbandoned: true
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# removeAbandonedTimeout: 600
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# logAbandoned: false
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# connectionInitSqls:
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#mybatis-plus:
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# # config-location: classpath:mybatis-config.xml
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# mapper-locations: classpath*:mapper/*.xml
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# type-aliases-package: net.shapelight.modules.*.entity
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# global-config:
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# id-type: 3 #1:数据库ID自增 2:用户输入id 3:全局唯一id(IdWorker) 4:全局唯一ID(uuid)
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# db-column-underline: false
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# refresh-mapper: true
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# configuration:
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# map-underscore-to-camel-case: true
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# cache-enabled: true #配置的缓存的全局开关
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# lazyLoadingEnabled: true #延时加载的开关
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# multipleResultSetsEnabled: true #开启的话，延时加载一个属性时会加载该对象全部属性，否则按需加载属性
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# log-impl: org.apache.ibatis.logging.stdout.StdOutImpl #打印sql语句,调试用
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#spring:
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# shardingsphere:
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# datasource:
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# names: m1 #配置库的名字，随意
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# m1: #配置目前m1库的数据源信息
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# type: com.alibaba.druid.pool.DruidDataSource
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# driverClassName: com.mysql.cj.jdbc.Driver
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# url: jdbc:mysql://localhost:3306/cell_db?useUnicode=true&characterEncoding=UTF-8
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# username: root
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# password: root
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# sharding:
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# tables:
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# t_order: # 指定t_order表的数据分布情况，配置数据节点
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# actualDataNodes: m1.sys_db_bak_$->{1..2}
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# tableStrategy:
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# inline: # 指定t_order表的分片策略，分片策略包括分片键和分片算法
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# shardingColumn: id
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# algorithmExpression: sys_db_bak_$->{order_id % 2 + 1}
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# keyGenerator: # 指定t_order表的主键生成策略为SNOWFLAKE
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# type: SNOWFLAKE #主键生成策略为SNOWFLAKE
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# column: id #指定主键
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# props:
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# sql:
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# show: truearticle/details/103767507
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