springboot+mybatis配置clickhouse实现插⼊查询功能说明
ClickHouse 是⼀款⽤于⼤数据实时分析的列式数据库管理系统，在⼤数据量查询时有着⾮常优秀的性能，
但是也有缺点，就是不⽀持事务，不⽀持真正的删除 / 更新，所以笔者只演⽰插⼊和查询。
1.添加maven依赖
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-aop</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
</dependency>
<dependency>
<groupId&batis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>1.3.2</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.13</version>
</dependency>
<dependency>
<groupId>commons-lang</groupId>
<artifactId>commons-lang</artifactId>
<version>2.6</version>
</dependency>
<!-- clickHouse数据库 -->
<dependency>
<groupId>ru.yandex.clickhouse</groupId>
<artifactId>clickhouse-jdbc</artifactId>
<version>0.1.53</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
2、配属数据源
spring:
datasource:
type: com.alibaba.druid.pool.DruidDataSource
clickhouse:
driverClassName: ru.yandex.clickhouse.ClickHouseDriver
url: jdbc:clickhouse://106.55.55.249:8123/default
password: ck的密码
initialSize: 10
maxActive: 100
minIdle: 10
maxWait: 6000
mybatis:
mapper-locations: classpath:mapper/*l
type-aliases-package: ity
server:
port: 8090
3、参数配置
import lombok.Data;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
@Data
@Component
public class ChParam {
private String driverClassName;
private String url;
private String password;
private Integer initialSize;
private Integer maxActive;
private Integer minIdle;
private Integer maxWait;
@Value("${clickhouse.driverClassName}")
public void setDriverClassName(String driverClassName) {
this.driverClassName = driverClassName;sql语句实现的四种功能
}
@Value("${clickhouse.url}")
public void setUrl(String url) {
this.url = url;
}
@Value("${clickhouse.password}")
public void setPassword(String password) {
this.password = password;
}
@Value("${clickhouse.initialSize}")
public void setInitialSize(Integer initialSize) {
this.initialSize = initialSize;
}
@Value("${clickhouse.maxActive}")
public void setMaxActive(Integer maxActive) {
this.maxActive = maxActive;
}
@Value("${clickhouse.minIdle}")
public void setMinIdle(Integer minIdle) {
this.minIdle = minIdle;
}
@Value("${clickhouse.maxWait}")
public void setMaxWait(Integer maxWait) {
this.maxWait = maxWait;
}
}
4、Druid连接池配置
import com.alibaba.druid.pool.DruidDataSource;
import org.springframework.beans.factory.annotation.Autowired;
import t.annotation.Bean;
import t.annotation.Configuration;
import javax.sql.DataSource;
@Configuration
public class DruidConfig {
@Autowired
private ChParam chParam;
@Bean
public DataSource dataSource() {
DruidDataSource datasource = new DruidDataSource();
datasource.Url());
datasource.DriverClassName());
datasource.InitialSize());
datasource.MinIdle());
datasource.MaxActive());
datasource.MaxWait());
datasource.Password());
return datasource;
}
}
5、l
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-////DTD Mapper 3.0//EN" "/dtd/mybatis-3-mapper.dtd">
<mapper namespace="16clickhouse.UserMapper">
<select id="queryUser" resultType="ity.User">
select userId, appId, version, regTime from `default`.`user`
</select>
<insert id="insertUser" parameterType="ity.User">  INSERT INTO `default`.`user` (`userId`, `appId`, `version`, `regTime`)
VALUES (#{userId}, #{appId}, #{version}, #{regTime})
</insert>
</mapper>
6、Mapper接⼝
@Mapper
public interface UserMapper {
List<User> queryUser();
Integer insertUser(User user);
}
@Slf4j
@RestController
public class UserController {
@Autowired
private UserMapper userMapper;
@RequestMapping("/queryUser")
public Object query(){
List userList = userMapper.queryUser();
log.String());
String();
}
@RequestMapping("/insertUser")
public Object insertUser(){
User user = new User();
user.setAppId("SS");
user.setRegTime(new Date());
user.setUserId(777744);
user.setVersion("3.2");
Integer flag = userMapper.insertUser(user);
return flag;
}
}
8.创建⼀个clickhouse表，然后插⼊⼏条数据测试⼀下
create table user
(
userId Int32,
appId String,
version String,
regTime Date
)
engine = MergeTree PARTITION BY toYYYYMM(regTime) ORDER BY userId SETTINGS index_granularity = 8192;
INSERT INTO default.user (userId, appId, version, regTime) VALUES (123457, 'RR', '3.6', '2020-01-07');
INSERT INTO default.user (userId, appId, version, regTime) VALUES (43234, 'HH', '2.5', '2020-06-06');
INSERT INTO default.user (userId, appId, version, regTime) VALUES (1234, 'TT', '2.4', '2020-07-24');
INSERT INTO default.user (userId, appId, version, regTime) VALUES (12345, 'RR', '2.5', '2020-07-29');
INSERT INTO default.user (userId, appId, version, regTime) VALUES (123456, 'TT', '2.1', '2020-07-09');
INSERT INTO default.user (userId, appId, version, regTime) VALUES (234561, 'GG', '3.0', '2020-07-31');
9.测试
参考⽂章：
总结
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