前言
前文已经介绍了ShardingSphere及相关组件,Sharding-JDBC是ShardingSphere的第一个产品,也是ShardingSphere的前身。本文主要通过代码实例介绍如何使用Sharding-JDBC 。
第一篇文章介绍是官网对于sharding-jdbc的解释和介绍,其实说的直白一点,就是包含了分库分表功能的JDBC,因此我们可以直接把sharding-jdbc当做普通的jdbc来进行使用。
本系列文章项目基于SpringBoot构建,采用ShardingSphere v4.1.1,由于5.X版本还在公测,可能存在诸多Bug。
Sharding-JDBC 实现垂直分库
1、环境构建
创建一个SpringBoot项目,引入如下依赖:
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<groupId>cn.zwqh</groupId>
<artifactId>sharding-sphere-4.1.1</artifactId>
<version>1.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<groupId>cn.zwqh</groupId>
<artifactId>sharding-sphere-demo-3</artifactId>
<version>${parent.version}</version>
<packaging>jar</packaging>
<name>sharding-sphere-demo-3</name>
<description>Demo project for Spring Boot</description>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>sharding-jdbc-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
<exclusions>
<exclusion>
<groupId>org.junit.vintage</groupId>
<artifactId>junit-vintage-engine</artifactId>
</exclusion>
</exclusions>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.8.1</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
<encoding>UTF-8</encoding>
</configuration>
</plugin>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<configuration>
<mainClass>cn.zwqh.shardingspheredemo3.ShardingSphereDemo3Application</mainClass>
</configuration>
<executions>
<execution>
<id>repackage</id>
<goals>
<goal>repackage</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>
2、创建数据库ds0、ds1,在ds0创建数据表t_order,在ds1创建数据表t_user
CREATE TABLE `t_order` (
`order_id` bigint NOT NULL COMMENT '订单id',
`order_type` tinyint(1) DEFAULT NULL COMMENT '订单类型',
`user_id` int DEFAULT NULL COMMENT '用户id',
`order_amount` decimal(10,2) DEFAULT NULL COMMENT '订单金额',
PRIMARY KEY (`order_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_bin;
CREATE TABLE `t_user` (
`user_id` int NOT NULL COMMENT '用户id',
`user_name` varchar(255) COLLATE utf8mb4_bin DEFAULT NULL COMMENT '用户名称',
PRIMARY KEY (`user_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_bin;
3、分片规则
将不同表的数据插入到不同的库中。
4、创建实体类
@Data
public class Orders {
private Integer orderId;
private Integer orderType;
private Integer userId;
private Double orderAmount;
}
@Data
public class UserEntity {
private Integer userId;
private String userName;
}
5、创建Mapper类
@Mapper
public interface OrdersMapper {
@Insert("insert into orders(order_id,order_type,user_id,order_amount) values(#{orderId},#{orderType},#{userId},#{orderAmount})")
void insertOrder(Orders orders);
}
@Mapper
public interface UserMapper {
@Insert("insert into users(user_id,user_name) values(#{userId},#{userName})")
void insertUser(UserEntity userEntity);
}
6、创建配置文件
serser.port=8080
spring.application.name=spring-boot-shardingsphere
#配置数据源的名称
spring.shardingsphere.datasource.names=ds0,ds1
#配置数据源的具体内容,
spring.shardingsphere.datasource.ds0.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.ds0.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.ds0.url=jdbc:mysql://127.0.0.1:3306/ds0?serverTimezone=UTC
spring.shardingsphere.datasource.ds0.username=root
spring.shardingsphere.datasource.ds0.password=123456
spring.shardingsphere.datasource.ds1.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.ds1.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.ds1.url=jdbc:mysql://127.0.0.1:3306/ds1?serverTimezone=UTC
spring.shardingsphere.datasource.ds1.username=root
spring.shardingsphere.datasource.ds1.password=123456
#配置order表所在的数据节点
spring.shardingsphere.sharding.tables.orders.actual-data-nodes=ds0.t_order
#user表的主键生成策略
spring.shardingsphere.sharding.tables.orders.key-generator.column=order_id
spring.shardingsphere.sharding.tables.orders.key-generator.type=SNOWFLAKE
#指定user表分片的策略
spring.shardingsphere.sharding.tables.orders.table-strategy.inline.sharding-column=order_id
spring.shardingsphere.sharding.tables.orders.table-strategy.inline.algorithm-expression=t_order
#配置user表所在的数据节点
spring.shardingsphere.sharding.tables.users.actual-data-nodes=ds1.t_user
#user表的主键生成策略
spring.shardingsphere.sharding.tables.users.key-generator.column=user_id
spring.shardingsphere.sharding.tables.users.key-generator.type=SNOWFLAKE
#指定user表分片的策略
spring.shardingsphere.sharding.tables.users.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.users.table-strategy.inline.algorithm-expression=t_user
#显示sql
spring.shardingsphere.props.sql.show=true
7、创建测试类
@SpringBootTest
public class OrderTests {
@Resource
private OrdersMapper ordersMapper;
@Test
public void addOrder() {
for (int i = 1; i <= 10; i++) {
Orders orders = new Orders();
orders.setOrderId(i);
orders.setUserId(i);
orders.setOrderType(i % 2);
orders.setOrderAmount(1000.0 * i);
ordersMapper.insertOrder(orders);
}
}
}
@SpringBootTest
public class UserTests {
@Resource
private UserMapper userMapper;
@Test
public void insertUser() {
for (int i = 1; i <= 10; i++) {
UserEntity userEntity = new UserEntity();
userEntity.setUserId(i);
userEntity.setUserName("user" + i);
userMapper.insertUser(userEntity);
}
}
}
8、执行结果
和预期一样,orders数据插入到了ds0.t_order,users数据插入到了ds1.t_user。
9、SNOWFLAKE
把新增操作中的主键order_id去除,新增时会自动生成唯一ID插入。
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