【Sharding JDBC】分库分表小demo

引入依赖

<!-- 数据库连接池 -->
<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>druid-spring-boot-starter</artifactId>
    <version>1.1.20</version>
</dependency>
<!--        数据库连接驱动-->
<dependency>
    <groupId>mysql</groupId>
    <artifactId>mysql-connector-java</artifactId>
</dependency>
<!--        sharding-jdbc-->
<dependency>
    <groupId>org.apache.shardingsphere</groupId>
    <artifactId>sharding-jdbc-spring-boot-starter</artifactId>
    <version>4.0.0-RC1</version>
</dependency>
<!--        MyBatisPlus-->
<dependency>
    <groupId>com.baomidou</groupId>
    <artifactId>mybatis-plus-boot-starter</artifactId>
    <version>3.0.5</version>
</dependency>
<!--        可以省略get set方法-->
<dependency>
    <groupId>org.projectlombok</groupId>
    <artifactId>lombok</artifactId>
</dependency>

实体类

package com.yibing.entity;
import lombok.Data;
/**
 * @author zhangyb
 * @date 2022/5/10
 */
@Data
public class Course {
    private Long cid;
    private String cname;
    private Long userId;
    private String cstatus;
}

使用MyBatisPlus建立Mapper

package com.yibing.mapper;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.yibing.entity.Course;
import org.springframework.stereotype.Repository;
/**
 * @author zhangyb
 * @date 2022/5/10
 */
@Repository
public interface CourseMapper extends BaseMapper<Course> {
}

appltaction.proprtties

# 应用名称
spring.application.name=sharding-jdbc-study
server.port=8080
server.servlet.context-path=/sharding



# 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=m0,m1

# 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.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/sharding_study_0?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m0.username=root
spring.shardingsphere.datasource.m0.password=123456

#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.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/sharding_study_1?serverTimezone=GMT%2B8
spring.shardingsphere.datasource.m1.username=root
spring.shardingsphere.datasource.m1.password=123456

#指定数据库分布情况，数据库里面表分布情况
# m0  m1    course_0 course_1
spring.shardingsphere.sharding.tables.course.actual-data-nodes=m$->{0..1}.course_$->{0..1}

# 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

# 指定数据库分片策略 约定user_id是偶数添加m0，是奇数添加m1
spring.shardingsphere.sharding.tables.course.database-strategy.inline..sharding-column=cid
spring.shardingsphere.sharding.tables.course.database-strategy.inline.algorithm-expression=m$->{cid % 2}

# 指定表分片策略  约定cid值偶数添加到course_0表，如果cid是奇数添加到course_1表
spring.shardingsphere.sharding.tables.course.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.course.table-strategy.inline.algorithm-expression=course_$->{user_id % 2}

# 配置公共表
spring.shardingsphere.sharding.broadcast-tables=common
spring.shardingsphere.sharding.tables.common.key-generator.column=id
spring.shardingsphere.sharding.tables.common.key-generator.type=SNOWFLAKE
# 打开sql输出日志
spring.shardingsphere.props.sql.show=false

标签：tables,分库,course,spring,sharding,JDBC,datasource,shardingsphere,Sharding
来源： https://www.cnblogs.com/zhangyibing/p/16283181.html