ShardingSphere读写分离

SpringBoot+ShardingSphere+MySQL读写分离

ShardingSphere读写分离

创建应用

依赖

引入druid数据源,sharding-jdbc启动器,lombok(使用@Slf4j进行日志打印)

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<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>2.1.4</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.21</version>
</dependency>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>sharding-jdbc-spring-boot-starter</artifactId>
<version>4.0.0-RC1</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
</dependencies>

配置

ShardingSphere提供了四种配置方式:1)Java配置,2)Yaml配置,3)Spring Boot配置,4)Spring配置

此处使用SpringBoot配置

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server:
port: 8091
# 应用名称
spring:
application:
name: shardingsphere-demo
main:
allow-bean-definition-overriding: true # 允许覆盖Bean
##############################################################################
# shardingsphere 配置
##############################################################################
shardingsphere:
props:
sql.show: true # 展示SQL
datasource:
names: master,slave1,slave2
master:
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://192.168.33.51:3306/test?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=Asia/Shanghai
username: root
password: master123
slave1:
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://192.168.33.52:3306/test?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=Asia/Shanghai
username: root
password: slave123
slave2:
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://192.168.33.53:3306/test?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=Asia/Shanghai
username: root
password: slave123
sharding:
default-data-source-name: master # 默认数据源
masterslave:
name: ms # 配置主从名称
master-data-source-name: master # 主库
slave-data-source-names: slave1,slave2 # 从库
load-balance-algorithm-type: round_robin # 从节点负载均衡策略,轮询

##############################################################################
# Mybatis 配置
##############################################################################
mybatis:
mapper-locations: classpath:/mapper/*.xml

编码

Service

Service层组合Dao层完成数据的增删改查,新增以下三个方法:

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@Slf4j
@Service("sysUserService")
public class SysUserServiceImpl implements SysUserService {

@Resource
private SysUserDao sysUserDao;

@Override
public SysUser queryById(Long userId) {
return this.sysUserDao.queryById(userId);
}

@Override
public List<SysUser> selectAll() {
return sysUserDao.selectAll(new SysUser());
}

@Override
public int save() {
SysUser sysUser = new SysUser();
sysUser.setUserId(ThreadLocalRandom.current().nextLong());
sysUser.setLoginName(UUID.randomUUID().toString().substring(8).replace("-","&"));
sysUser.setCreateTime(new Date());
sysUser.setUpdateTime(new Date());
return sysUserDao.insert(sysUser);
}

@Override
public int update() {
SysUser sysUser = new SysUser();
sysUser.setUserId(1L);
long nextLong = ThreadLocalRandom.current().nextLong();
log.info("修改后deptId: {}", nextLong);
sysUser.setDeptId(nextLong);
sysUser.setUpdateTime(new Date());
return sysUserDao.update(sysUser);
}

@Override
public int delete(Long userId) {
return sysUserDao.delete(userId);
}

@Override
public List<SysUser> selectAfterInsert() {
save();
return selectAll();
}

@Override
public List<SysUser> selectAfterUpdate() {
update();
return selectAll();
}

@Override
public List<SysUser> selectAfterDelete(Long userId) {
delete(userId);
return selectAll();
}
}

Controller

Service层提供基础的增删改查,通过Controller组合,最终Controller方法如下:

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@RestController
@RequestMapping("sysUser")
@Slf4j
public class SysUserController {
/**
* 服务对象
*/
@Resource
private SysUserService sysUserService;

// ... 省略基础CURD

/**
* 新增后查询
*/
@PostMapping("selectAfterInsert")
public List<SysUser> selectAfterInsert() {
return sysUserService.selectAfterInsert();
}

/**
* 修改后查询
*/
@PostMapping("selectAfterUpdate")
public List<SysUser> selectAfterUpdate() {
return sysUserService.selectAfterUpdate();
}

/**
* 删除后查询
*
* @param userId 主键
*/
@PostMapping("selectAfterDelete/{userId}")
public List<SysUser> selectAfterDelete(@PathVariable("userId") Long userId) {
return sysUserService.selectAfterDelete(userId);
}
}

验证

查询接口

  • 请求地址
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GET http://localhost:8091/sysUser/selectOne?id=1
  • 后端代码
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/**
* 通过主键查询单条数据
*
* @param id 主键
* @return 单条数据
*/
@GetMapping("selectOne")
public SysUser selectOne(Long id) {
return this.sysUserService.queryById(id);
}
  • 控制台日志
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# 第一次调用
ShardingSphere-SQL : Rule Type: master-slave
ShardingSphere-SQL : SQL: ${select语句} ::: DataSources: slave1

# 第二次调用
ShardingSphere-SQL : Rule Type: master-slave
ShardingSphere-SQL : SQL: ${select语句} ::: DataSources: slave2

# 为了方便省略日志中的时间和线程信息与具体的SQL语句

查询时查询从库,并根据配置规则进行轮询访问

新增接口

  • 请求地址
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POST http://localhost:8091/sysUser/save
  • 控制台日志
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ShardingSphere-SQL                       : Rule Type: master-slave
ShardingSphere-SQL : SQL: ${select语句} ::: DataSources: master

删除、更新与新增接口一致,通过主库进行操作。

更新后查询

  • 请求地址
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POST http://localhost:8091/sysUser/selectAfterUpdate
  • 服务端代码
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@PostMapping("selectAfterUpdate")
public List<SysUser> selectAfterUpdate(){
SysUser sysUser = new SysUser();
sysUser.setUserId(1L);
long nextLong = ThreadLocalRandom.current().nextLong();
log.info("修改后deptId: {}", nextLong);
sysUser.setDeptId(nextLong);
sysUser.setUpdateTime(new Date());
sysUserService.update(sysUser);
return sysUserService.selectAll();
}
  • 控制台日志
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# 首次查询
cn.leithda.controller.SysUserController : 修改后deptId: -1175581395186330489
ShardingSphere-SQL : Rule Type: master-slave
ShardingSphere-SQL : SQL: ${update语句} ::: DataSources: master
ShardingSphere-SQL : Rule Type: master-slave
ShardingSphere-SQL : SQL: ${select语句} ::: DataSources: slave1

# 第二次查询
cn.leithda.controller.SysUserController : 修改后deptId: 2426654288544131059
ShardingSphere-SQL : Rule Type: master-slave
ShardingSphere-SQL : SQL: ${update语句} ::: DataSources: master
ShardingSphere-SQL : Rule Type: master-slave
ShardingSphere-SQL : SQL: ${select语句} ::: DataSources: slave2

更新操作在主库执行,查询操作在从库执行,当主从数据同步延迟大于查询间隔时就会出现数据不一致现象。如下图,第一次查询结果为更新前的部门id,而非修改后的-1175581395186330489

新增以及删除后执行查询逻辑同更新一致,根据官网第三条的说法:同一线程且同一数据库连接内,如有写入操作,以后的读操作均从主库读取,用于保证数据一致性。

解决先写后读问题

增加事务注解

增加事务注解@Transactional,保证数据库操作在同一事务(同一连接)内。

  • 代码
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@Override
@Transactional
public List<SysUser> selectAfterUpdate() {
update();
return selectAll();
}
  • 日志
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c.l.service.impl.SysUserServiceImpl      : 修改后deptId: 6484464052586093700
ShardingSphere-SQL : Rule Type: master-slave
ShardingSphere-SQL : SQL: ${update语句} ::: DataSources: master
ShardingSphere-SQL : Rule Type: master-slave
ShardingSphere-SQL : SQL: ${select语句} ::: DataSources: master

强制选主

使用HitManager,强制走主库

  • 代码
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@Override
public List<SysUser> selectAfterDelete(Long userId) {
HintManager.getInstance().setMasterRouteOnly();
delete(userId);
return selectAll();
}
  • 日志
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ShardingSphere-SQL                       : Rule Type: master-slave
ShardingSphere-SQL : SQL: delete from sys_user where user_id = ? ::: DataSources: master
ShardingSphere-SQL : Rule Type: master-slave
ShardingSphere-SQL : SQL: ${select语句} ::: DataSources: master

代码地址:https://gitee.com/leithda/labs/tree/master/TechnicalPoints/ReadWriteSplitting/shardingsphere-demo