springboot、sharding-jdbc、jpa、bootstrap.yml、postgre 实现分表
sharding-jdbc 使用YAML配置
!!!注意 本文仅为一个测试demo,为调通分表方便,项目命名并未按照驼峰式规则。
首先调通jpa、项目结构如下
springboot+jpa项目调通启动
pom引入包
<dependency>
<groupId>io.shardingsphere</groupId>
<artifactId>sharding-jdbc-spring-boot-starter</artifactId>
<version>3.0.0</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.1.21</version>
</dependency>
bootstrap设置
部分bootstrap设置如下(未包含所有设置项)
server:
port: 18501
spring:
application:
name: sharding_test
dbname: test_sharding_2
server:
# ip: 192.168....
jpa:
show-sql: true
database: postgresql
properties:
hibernate:
hbm2ddl:
auto: update #none 设置为updata jpa自动创建表,后续需要删除原表
sharding:
jdbc:
datasource:
names: ds
ds:
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: org.postgresql.Driver
url: jdbc:postgresql://${spring.server.ip}:5432/${spring.application.dbname}
username: admin
password: 123456
config:
sharding:
tables:
t_order:
actual-data-nodes: ds.t_order_$->{0..1}
# local-table: t_order_
table-strategy:
inline:
sharding-column: other_id
algorithm-expression: t_order_$->{ other_id % 2}
# keyGenerator:
# column: id
# type: UUID
props:
sql.show: true
文件代码
controller
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
import java.util.Map;
@RestController
@RequestMapping("/demo")
public class TOrderController {
@Autowired
private TOrderService tOrderService;
@GetMapping
public Map<String, Object> getList() {
System.out.println(tOrderService.getAll());
return null;
}
@PostMapping
public void add(@RequestBody TOrderEntity tOrderEntity) {
tOrderService.save(tOrderEntity);
}
@PutMapping
public void update(@RequestBody TOrderEntity tOrderEntity) {
tOrderService.save(tOrderEntity);
}
@DeleteMapping
public void update(Long name){
tOrderService.delete(name);}
}
entity
import lombok.Data;
import javax.persistence.*;
import java.io.Serializable;
@Entity
@Data
@Table(name = "t_order")
public class TOrderEntity implements Serializable {
@Id
@Column(name = "order_id")
private Long id;
@Column(name = "other_id")
private Long otherId;
}
repository
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.stereotype.Repository;
@Repository
public interface TOrderRepository extends JpaRepository<TOrderEntity,Long> {
}
service
import java.util.List;
public interface TOrderService {
void save(TOrderEntity tOrderEntity);
void update(TOrderEntity tOrderEntity);
void delete(Long id);
List<TOrderEntity> getAll();
}
serviceImpl
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.util.List;
@Service
public class TOrderServiceImpl implements TOrderService {
@Autowired
TOrderRepository tOrderRepository;
@Override
public void save(TOrderEntity tOrderEntity) {
tOrderRepository.save(tOrderEntity);
}
@Override
public void update(TOrderEntity tOrderEntity) {
tOrderRepository.save(tOrderEntity);
}
@Override
public void delete(Long id) {
tOrderRepository.deleteById(id);
}
@Override
public List<TOrderEntity> getAll() {
return tOrderRepository.findAll();
}
}
启动类
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.annotation.ComponentScan;
@SpringBootApplication
public class ShardingDemoApplication {
public static void main(String[] args) {
SpringApplication.run(ShardingDemoApplication.class,args);
}
}
注意事项
使用sharding-jdbc,在启动项目后需要手动删除jpa创建的表。并手动创建按照设定逻辑分出的表。(10/21更新,不用删除jpa启动建表也能启动,不受影响,但必须保证序列生效)
创建表sql(这里使用复制表结构的sql) sql1 复制jpa自动建表的表结构 sql3 设定所有表使用某同一序列 sq2 为数据库设定一个序列 其中originalTableName 对应的value 在bootstrap 中设置
@Modifying
@Transactional(rollbackFor = Exception.class)
public Boolean createTableMin(String tableName) {
@Value("${table.name}")
private String originalTableName;
String sql = "create table " + tableName + " as select * from " + originalTableName ;
String sql3 = "alter table " +
tableName +
" alter column id set default nextval('${序列名}');";
try {
Query nativeQuery = entityManager.createNativeQuery(sql);
nativeQuery.executeUpdate();
nativeQuery = entityManager.createNativeQuery(sql3);
nativeQuery.executeUpdate();
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
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