上一章分享了 Sharding-JDBC 搭建读写分离,本章将用sharding-jdbc实现分库分表功能
1.为什么要分库分表?
举个栗子:当单表数据量超过1000万后,查询的速度将会慢下来,利用索引,读写分离等优化,如果当数据量超过5000万时,一些常见的优化方法将失去作用,此时把单表水平划分到多库多表中,提升查询速度,而sharding-jdbc可以帮你完成水平拆分,而我们只需添加一些配置即可
2.官方文档
基本上是参照中文帮助文档进行配置
GitHub的地址:https://github.com/apache/incubator-shardingsphere
shardingsphere:https://github.com/apache/incubator-shardingsphere-example
中文文档地址:https://shardingsphere.apache.org/document/current/cn/manual/sharding-jdbc/usage/read-write-splitting/
3.代码实现(mybatis)
- 1.有3张表 t_member、t_order、t_order_item,拆分到2个数据库中,每个数据库2份,相当于每张表拆成了4张,需要注意的是每个表的主键Id尽量设置成 bigint (我开始设置为varchar,结果分表时报错),结构如下:
- 2.新建SpringBoot项目,引入依赖:
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>sharding-jdbc-spring-boot-starter</artifactId>
<version>4.0.0-RC1</version>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>2.0.0</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.47</version>
</dependency>
<!-- https://mvnrepository.com/artifact/com.alibaba/druid -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.1.16</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.47</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
- 3.引入mybatis generator 自动生成代码插件,生成实体类与mybatis xml文件,怎么生成
<plugin>
<groupId>org.mybatis.generator</groupId>
<artifactId>mybatis-generator-maven-plugin</artifactId>
<version>1.3.6</version>
<configuration>
<configurationFile>${basedir}/src/main/resources/generator/config.xml</configurationFile>
<overwrite>true</overwrite>
<verbose>true</verbose>
</configuration>
</plugin>
- 4.添加配置文件,这点很重要,否则无法实现分库分表,
ds$->{0..1}.t_member$->{0..1},表达式相当于:ds0.t_member0、ds0.t_member1、ds1.t_member0、ds1.t_member1,在配置中配置了 key-generator.column,所以新增该表数据时,不需要给主键id赋值,sharding-jdbc会调用内置的SNOWFLAKE算法生成分布式id,请往下看
server.port=8071
# mybatis 配置
mybatis.mapper-locations=classpath:mapping/*.xml
mybatis.type-aliases-package=com.zypcy.sharding.sublibrarytable.entity
spring.shardingsphere.datasource.names=ds0,ds1
spring.shardingsphere.datasource.ds0.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.ds0.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.ds0.url=jdbc:mysql://localhost:3306/ds0?useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&failOverReadOnly=false&maxReconnects=15000&allowMultiQueries=true&useSSL=false
spring.shardingsphere.datasource.ds0.username=root
spring.shardingsphere.datasource.ds0.password=123456
spring.shardingsphere.datasource.ds1.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.ds1.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.ds1.url=jdbc:mysql://localhost:3306/ds1?useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&failOverReadOnly=false&maxReconnects=15000&allowMultiQueries=true&useSSL=false
spring.shardingsphere.datasource.ds1.username=root
spring.shardingsphere.datasource.ds1.password=123456
# 分库配置 , 根据member_id分库
spring.shardingsphere.sharding.default-database-strategy.inline.sharding-column=member_id
spring.shardingsphere.sharding.default-database-strategy.inline.algorithm-expression=ds$->{member_id % 2}
# 分表配置,根据member_id分表
spring.shardingsphere.sharding.tables.t_member.actual-data-nodes=ds$->{0..1}.t_member$->{0..1}
spring.shardingsphere.sharding.tables.t_member.table-strategy.inline.sharding-column=member_id
spring.shardingsphere.sharding.tables.t_member.table-strategy.inline.algorithm-expression=t_member$->{member_id % 2}
spring.shardingsphere.sharding.tables.t_member.key-generator.column=member_id
spring.shardingsphere.sharding.tables.t_member.key-generator.type=SNOWFLAKE
# 分表配置,根据order_id分表
spring.shardingsphere.sharding.tables.t_order.actual-data-nodes=ds$->{0..1}.t_order$->{0..1}
spring.shardingsphere.sharding.tables.t_order.table-strategy.inline.sharding-column=order_id
spring.shardingsphere.sharding.tables.t_order.table-strategy.inline.algorithm-expression=t_order$->{order_id % 2}
spring.shardingsphere.sharding.tables.t_order.key-generator.column=order_id
spring.shardingsphere.sharding.tables.t_order.key-generator.type=SNOWFLAKE
# 分表配置,根据order_id分表
spring.shardingsphere.sharding.tables.t_order_item.actual-data-nodes=ds$->{0..1}.t_order_item$->{0..1}
spring.shardingsphere.sharding.tables.t_order_item.table-strategy.inline.sharding-column=order_id
spring.shardingsphere.sharding.tables.t_order_item.table-strategy.inline.algorithm-expression=t_order_item$->{order_id % 2}
spring.shardingsphere.sharding.tables.t_order_item.key-generator.column=order_item_id
spring.shardingsphere.sharding.tables.t_order_item.key-generator.type=SNOWFLAKE
spring.shardingsphere.props.sql.show=true
- 5.添加MemberService服务接口与实现
public interface IMemberService {
int insert(Member record);
Member selectByPrimaryKey(Long memberId);
int deleteByPrimaryKey(Long memberId);
}
@Service
public class MemberServiceImpl implements IMemberService {
@Autowired private MemberMapper memberMapper;
@Override
public int insert(Member record) {
return memberMapper.insertSelective(record);
}
@Override
public Member selectByPrimaryKey(Long memberId) {
return memberMapper.selectByPrimaryKey(memberId);
}
@Override
public int deleteByPrimaryKey(Long memberId) {
return memberMapper.deleteByPrimaryKey(memberId);
}
}
@Mapper
public interface MemberMapper {
int deleteByPrimaryKey(Long memberId);
int insert(Member record);
int insertSelective(Member record);
Member selectByPrimaryKey(Long memberId);
int updateByPrimaryKeySelective(Member record);
int updateByPrimaryKey(Member record);
}
- 6.添加MemberController
@RequestMapping("/member")
@RestController
public class MemberController {
@Autowired
private IMemberService memberService;
@RequestMapping("/add")
public Member add(){
Member member = new Member();
//member.setMemberId(IdWorker.getLongId()); 不用手动设置主键id,新增时,sharding-jdbc会自动赋值,因为在配置文件中配置了该列使用SNOWFLAKE算法生成值
member.setMemberName("张三");
member.setNickName("闪耀的瞬间");
member.setAccountNo(member.getMemberId()+"");
member.setPassword("123465");
member.setAge(27);
member.setBirthDate(new Date());
member.setEblFlag("1");
member.setDelFlag("0");
member.setDescription("xxx");
member.setCreateTime(new Date());
member.setUpdateTime(new Date());
memberService.insert(member);
return member;
}
@RequestMapping("/findById")
public Member findById(Long memberId){
return memberService.selectByPrimaryKey(memberId);
}
@RequestMapping("/delete")
public String delete(Long memberId){
memberService.deleteByPrimaryKey(memberId);
return "success";
}
}
-
7.启动项目,访问新增接口 http://localhost:8071/member/add ,可以看到页面返回了新增后的数据
同时查看Intellij IDEA控制台,可以看到数据插入到 ds1 库的 t_member1 表了
再查看ds1数据库的t_member1 表,有memberId:331930875505672193的记录,前面的是我多次调用add方法新增的 -
8.访问查询接口 http://localhost:8071/member/findById?memberId=331930875505672193
同时查看控制台,sql自动路由到 ds1 库去查询数据了
实体类与mapper xm文件没有列出来,请参照上面的mybatis generator 自动生成代码插件或源码
好了,更多的应用需要朋友们自行研究,还弄了个jpa版本的,都在源码中,已上传了,查看源码