org.apache.shardingsphere
sharding-jdbc-spring-boot-starter
4.0.0-RC1
1.水平分表
# shardingjdbc分片策略
# 配置数据源,给数据源起名称
spring.shardingsphere.datasource.names=m1
# 一个实体类对应两张表,覆盖
spring.main.allow-bean-definition-overriding=true
#配置数据源具体内容,包含连接池,驱动,地址,用户名和密码
spring.shardingsphere.datasource.m1.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m1.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.m1.url=jdbc:mysql://localhost:3306/test?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m1.username=root
spring.shardingsphere.datasource.m1.password=root
#指定course表分布情况,配置表在哪个数据库里面,表名称都是什么 m1.course_1 , m1.course_2
spring.shardingsphere.sharding.tables.course.actual-data-nodes=m1.course$->{1..2}
# 指定course表里面主键cid 生成策略 SNOWFLAKE
spring.shardingsphere.sharding.tables.course.key-generator.column=cid
spring.shardingsphere.sharding.tables.course.key-generator.type=SNOWFLAKE
# 指定分片策略 约定cid值偶数添加到course1表,如果cid是奇数添加到course2表
spring.shardingsphere.sharding.tables.course.table-strategy.inline.sharding-column=cid
spring.shardingsphere.sharding.tables.course.table-strategy.inline.algorithm-expression=course$->{cid % 2 + 1}
# 打开sql输出日志
spring.shardingsphere.props.sql.show=true
2.水平分库
# shardingjdbc分片策略
# 配置数据源,给数据源起名称,
# 水平分库,配置两个数据源
spring.shardingsphere.datasource.names=m1,m2
# 一个实体类对应两张表,覆盖
spring.main.allow-bean-definition-overriding=true
#配置第一个数据源具体内容,包含连接池,驱动,地址,用户名和密码
spring.shardingsphere.datasource.m1.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m1.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.m1.url=jdbc:mysql://localhost:3306/test0?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m1.username=root
spring.shardingsphere.datasource.m1.password=root
#配置第二个数据源具体内容,包含连接池,驱动,地址,用户名和密码
spring.shardingsphere.datasource.m2.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m2.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.m2.url=jdbc:mysql://localhost:3306/test1?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m2.username=root
spring.shardingsphere.datasource.m2.password=root
#指定数据库分布情况,数据库里面表分布情况
# m1 m2 course1 course2
spring.shardingsphere.sharding.tables.course.actual-data-nodes=m$>{1..2}.course$->{1..2}
# 指定course表里面主键cid 生成策略 SNOWFLAKE
spring.shardingsphere.sharding.tables.course.key-generator.column=cid
spring.shardingsphere.sharding.tables.course.key-generator.type=SNOWFLAKE
# 指定表分片策略 约定cid值偶数添加到course_1表,如果cid是奇数添加到course_2表
spring.shardingsphere.sharding.tables.course.table-strategy.inline.sharding-column=cid
spring.shardingsphere.sharding.tables.course.table-strategy.inline.algorithm-expression=course$->{cid % 2 + 1}
# 指定数据库分片策略 约定user_id是偶数添加m1,是奇数添加m2
#spring.shardingsphere.sharding.default-database-strategy.inline.sharding-column=user_id
#spring.shardingsphere.sharding.default-database-strategy.inline.algorithm-expression=m$->{user_id % 2 + 1}
#分库策略
spring.shardingsphere.sharding.tables.course.database-strategy.inline..sharding-column=user_id
spring.shardingsphere.sharding.tables.course.database-strategy.inline.algorithm-expression=m$->{user_id % 2 + 1}
# 打开sql输出日志
spring.shardingsphere.props.sql.show=true
3.垂直分库
# shardingjdbc分片策略
# 配置数据源,给数据源起名称,
# 水平分库,配置两个数据源
spring.shardingsphere.datasource.names=m1,m2,m0
# 一个实体类对应两张表,覆盖
spring.main.allow-bean-definition-overriding=true
#配置第一个数据源具体内容,包含连接池,驱动,地址,用户名和密码
spring.shardingsphere.datasource.m1.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m1.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.m1.url=jdbc:mysql://localhost:3306/edu_db_1?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m1.username=root
spring.shardingsphere.datasource.m1.password=root
#配置第二个数据源具体内容,包含连接池,驱动,地址,用户名和密码
spring.shardingsphere.datasource.m2.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m2.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.m2.url=jdbc:mysql://localhost:3306/edu_db_2?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m2.username=root
spring.shardingsphere.datasource.m2.password=root
#配置第三个数据源具体内容,包含连接池,驱动,地址,用户名和密码
spring.shardingsphere.datasource.m0.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m0.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.m0.url=jdbc:mysql://localhost:3306/user_db?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m0.username=root
spring.shardingsphere.datasource.m0.password=root
# 配置m0数据库里面t_user 专库专表
spring.shardingsphere.sharding.tables.t_user.actual-data-nodes=m$->{0}.t_user
# 指定t_user表里面主键user_id 生成策略 SNOWFLAKE
spring.shardingsphere.sharding.tables.t_user.key-generator.column=user_id
spring.shardingsphere.sharding.tables.t_user.key-generator.type=SNOWFLAKE
# 配置m1数据库里面t_course 专库专表
spring.shardingsphere.sharding.tables.t_user.actual-data-nodes=m$->{1}.t_course
# 指定t_course表里面主键course_id 生成策略 SNOWFLAKE
spring.shardingsphere.sharding.tables.t_course.key-generator.column=course_id
spring.shardingsphere.sharding.tables.t_course.key-generator.type=SNOWFLAKE
# 配置m2数据库里面t_shcool 专库专表
spring.shardingsphere.sharding.tables.t_user.actual-data-nodes=m$->{2}.t_shcool
# 指定t_shcool表里面主键t_shcool 生成策略 SNOWFLAKE
spring.shardingsphere.sharding.tables.t_shcool.key-generator.column=school_id
spring.shardingsphere.sharding.tables.t_shcool.key-generator.type=SNOWFLAKE
# 打开sql输出日志
spring.shardingsphere.props.sql.show=true
4.主从配置和公共表配置
# shardingjdbc分片策略
# 配置数据源,给数据源起名称,
# 水平分库,配置两个数据源
spring.shardingsphere.datasource.names=m1,m2,m0,m4
# 一个实体类对应两张表,覆盖
spring.main.allow-bean-definition-overriding=true
#配置第三个数据源具体内容,包含连接池,驱动,地址,用户名和密码
spring.shardingsphere.datasource.m0.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m0.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.m0.url=jdbc:mysql://localhost:3306/master0?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m0.username=root
spring.shardingsphere.datasource.m0.password=root
#配置第一个数据源具体内容,包含连接池,驱动,地址,用户名和密码
spring.shardingsphere.datasource.m1.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m1.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.m1.url=jdbc:mysql://localhost:3306/slave_0?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m1.username=root
spring.shardingsphere.datasource.m1.password=root
#配置第二个数据源具体内容,包含连接池,驱动,地址,用户名和密码
spring.shardingsphere.datasource.m2.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m2.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.m2.url=jdbc:mysql://localhost:3306/slave_1?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m2.username=root
spring.shardingsphere.datasource.m2.password=root
#配置第二个数据源具体内容,包含连接池,驱动,地址,用户名和密码
spring.shardingsphere.datasource.m4.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.m4.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.m4.url=jdbc:mysql://localhost:3306/master1?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m4.username=root
spring.shardingsphere.datasource.m4.password=root
# 主库从库逻辑数据源定义
spring.shardingsphere.sharding.master-slave-rules.ds0.master-data-sourcename=m0
spring.shardingsphere.sharding.master-slave-rules.ds0.slave-data-sourcenames=m1,m2,m3
# 配置公共表
spring.shardingsphere.sharding.broadcast-tables=t_product
spring.shardingsphere.sharding.tables.t_udict.key-generator.column=product_id
spring.shardingsphere.sharding.tables.t_udict.key-generator.type=SNOWFLAKE
# 打开sql输出日志
spring.shardingsphere.props.sql.show=true