sharding-jdbc分庫分表配置，多數據源

# 以下是分片規則配置
# 定義數據源
spring.shardingsphere.datasource.names = m1
spring.shardingsphere.datasource.m1.type = com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m1.driver‐class‐name = com.mysql.jdbc.Driver
spring.shardingsphere.datasource.m1.url = jdbc:mysql://localhost:3306/order_db?useUnicode=true
spring.shardingsphere.datasource.m1.username = root
spring.shardingsphere.datasource.m1.password = root
# 指定t_order表的數據分布情況，配置數據節點
spring.shardingsphere.sharding.tables.t_order.actual‐data‐nodes = m1.t_order_$‐>{1..2}
# 指定t_order表的主鍵生成策略為SNOWFLAKE
spring.shardingsphere.sharding.tables.t_order.key‐generator.column=order_id
spring.shardingsphere.sharding.tables.t_order.key‐generator.type=SNOWFLAKE
# 指定t_order表的分片策略，分片策略包括分片鍵和分片算法
spring.shardingsphere.sharding.tables.t_order.table‐strategy.inline.sharding‐column = order_id
spring.shardingsphere.sharding.tables.t_order.table‐strategy.inline.algorithm‐expression = t_order_$‐>{order_id % 2 + 1}
# 打開sql輸出日志
spring.shardingsphere.props.sql.show = true

 多數據源配置

# 定義多個數據源
spring.shardingsphere.datasource.names = m1,m2
spring.shardingsphere.datasource.m1.type = com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m1.driver‐class‐name = com.mysql.jdbc.Driver
spring.shardingsphere.datasource.m1.url = jdbc:mysql://localhost:3306/order_db_1?useUnicode=true
spring.shardingsphere.datasource.m1.username = root
spring.shardingsphere.datasource.m1.password = root
spring.shardingsphere.datasource.m2.type = com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m2.driver‐class‐name = com.mysql.jdbc.Driver
spring.shardingsphere.datasource.m2.url = jdbc:mysql://localhost:3306/order_db_2?useUnicode=true
spring.shardingsphere.datasource.m2.username = root
spring.shardingsphere.datasource.m2.password = root
...
# 分庫策略，以user_id為分片鍵，分片策略為user_id % 2 + 1，user_id為偶數操作m1數據源，否則操作m2。
spring.shardingsphere.sharding.tables.t_order.database‐strategy.inline.sharding‐column = user_id
spring.shardingsphere.sharding.tables.t_order.database‐strategy.inline.algorithm‐expression = m$‐>{user_id % 2 + 1}
#分庫策略，如何將一個邏輯表映射到多個數據源
spring.shardingsphere.sharding.tables.<邏輯表名稱>.database‐strategy.<分片策略>.<分片策略屬性名>= #分片策略屬性值
#分表策略，如何將一個邏輯表映射為多個實際表
spring.shardingsphere.sharding.tables.<邏輯表名稱>.table‐strategy.<分片策略>.<分片策略屬性名>= #分片策略屬性值

詳細配置

# 真實數據源定義 m為主庫 s為從庫
spring.shardingsphere.datasource.names = m0,m1,m2,s0,s1,s2
spring.shardingsphere.datasource.m0.type = com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m0.driver‐class‐name = com.mysql.jdbc.Driver
spring.shardingsphere.datasource.m0.url = jdbc:mysql://localhost:3306/store_db?useUnicode=true
spring.shardingsphere.datasource.m0.username = root
spring.shardingsphere.datasource.m0.password = root
spring.shardingsphere.datasource.m1.type = com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m1.driver‐class‐name = com.mysql.jdbc.Driver
spring.shardingsphere.datasource.m1.url = jdbc:mysql://localhost:3306/product_db_1?
useUnicode=true
spring.shardingsphere.datasource.m1.username = root
spring.shardingsphere.datasource.m1.password = root
spring.shardingsphere.datasource.m2.type = com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m2.driver‐class‐name = com.mysql.jdbc.Driver
spring.shardingsphere.datasource.m2.url = jdbc:mysql://localhost:3306/product_db_2?
useUnicode=true
spring.shardingsphere.datasource.m2.username = root
spring.shardingsphere.datasource.m2.password = root
spring.shardingsphere.datasource.s0.type = com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.s0.driver‐class‐name = com.mysql.jdbc.Driver
spring.shardingsphere.datasource.s0.url = jdbc:mysql://localhost:3307/store_db?useUnicode=true
spring.shardingsphere.datasource.s0.username = root
spring.shardingsphere.datasource.s0.password = root
spring.shardingsphere.datasource.s1.type = com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.s1.driver‐class‐name = com.mysql.jdbc.Driver
spring.shardingsphere.datasource.s1.url = jdbc:mysql://localhost:3307/product_db_1?
useUnicode=true
spring.shardingsphere.datasource.s1.username = root
spring.shardingsphere.datasource.s1.password = root
spring.shardingsphere.datasource.s2.type = com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.s2.driver‐class‐name = com.mysql.jdbc.Driver
spring.shardingsphere.datasource.s2.url = jdbc:mysql://localhost:3307/product_db_2?
useUnicode=true
spring.shardingsphere.datasource.s2.username = root
spring.shardingsphere.datasource.s2.password = root
# 主庫從庫邏輯數據源定義 ds0為store_db ds1為product_db_1 ds2為product_db_2
spring.shardingsphere.sharding.master‐slave‐rules.ds0.master‐data‐source‐name=m0
spring.shardingsphere.sharding.master‐slave‐rules.ds0.slave‐data‐source‐names=s0
spring.shardingsphere.sharding.master‐slave‐rules.ds1.master‐data‐source‐name=m1
spring.shardingsphere.sharding.master‐slave‐rules.ds1.slave‐data‐source‐names=s1
spring.shardingsphere.sharding.master‐slave‐rules.ds2.master‐data‐source‐name=m2
spring.shardingsphere.sharding.master‐slave‐rules.ds2.slave‐data‐source‐names=s2
# 默認分庫策略，以store_info_id為分片鍵，分片策略為store_info_id % 2 + 1，也就是store_info_id為雙數的
數據進入ds1，為單數的進入ds2
spring.shardingsphere.sharding.default‐database‐strategy.inline.sharding‐column = store_info_id
spring.shardingsphere.sharding.default‐database‐strategy.inline.algorithm‐expression = ds$‐>
{store_info_id % 2 + 1}
# store_info分表策略，固定分配至ds0的store_info真實表，
spring.shardingsphere.sharding.tables.store_info.actual‐data‐nodes = ds$‐>{0}.store_info
spring.shardingsphere.sharding.tables.store_info.table‐strategy.inline.sharding‐column = id
spring.shardingsphere.sharding.tables.store_info.table‐strategy.inline.algorithm‐expression =
store_info
# product_info分表策略，分布在ds1,ds2的product_info_1 product_info_2表 ，分片策略為product_info_id
% 2 + 1，product_info_id生成為雪花算法，為雙數的數據進入product_info_1表，為單數的進入product_info_2
表
spring.shardingsphere.sharding.tables.product_info.actual‐data‐nodes = ds$‐>
{1..2}.product_info_$‐>{1..2}
spring.shardingsphere.sharding.tables.product_info.table‐strategy.inline.sharding‐column =
product_info_id
spring.shardingsphere.sharding.tables.product_info.table‐strategy.inline.algorithm‐expression =
product_info_$‐>{product_info_id % 2 + 1}
spring.shardingsphere.sharding.tables.product_info.key‐generator.column=product_info_id
spring.shardingsphere.sharding.tables.product_info.key‐generator.type=SNOWFLAKE
# product_descript分表策略，分布在ds1,ds2的product_descript_1 product_descript_2表 ，分片策略為
product_info_id % 2 + 1，id生成為雪花算法，product_info_id為雙數的數據進入product_descript_1表，為單
數的進入product_descript_2表
spring.shardingsphere.sharding.tables.product_descript.actual‐data‐nodes = ds$‐>
{1..2}.product_descript_$‐>{1..2}
spring.shardingsphere.sharding.tables.product_descript.table‐strategy.inline.sharding‐column =
product_info_id
spring.shardingsphere.sharding.tables.product_descript.table‐strategy.inline.algorithm‐
expression = product_descript_$‐>{product_info_id % 2 + 1}
spring.shardingsphere.sharding.tables.product_descript.key‐generator.column=id
spring.shardingsphere.sharding.tables.product_descript.key‐generator.type=SNOWFLAKE
# 設置product_info,product_descript為綁定表
spring.shardingsphere.sharding.binding‐tables[0] = product_info,product_descript
# 設置region為廣播表(公共表)，每次更新操作會發送至所有數據源
spring.shardingsphere.sharding.broadcast‐tables=region
# 打開sql輸出日志
spring.shardingsphere.props.sql.show = true