通过阅读列式数据库ClickHouse官网，不难看出它有支持JDBC规范的驱动jar包，可以直接集成到Object Relational Mapping框架等，下面我用SpringBoot+MybatisPlus环境连接ClickHouse来演示一下

集成步骤

1.Maven引入ClickHouse提供的JDBC依赖

<!--   ClickHouse JDBC 依赖    -->
        <dependency>
            <groupId>ru.yandex.clickhouse</groupId>
            <artifactId>clickhouse-jdbc</artifactId>
            <version>0.1.53</version>
        </dependency>

2.数据源配置

下面数据源配置代表多数据源配置，单数据源配置按照单格式写即可

本人搭建的ClickHouse没有账密，它默认就是default用户，然后默认连接default库

spring:
    datasource:
        dynamic:
            primary: clickHouseDataSource
            datasource:
                clickHouseDataSource:
                  url: jdbc:clickhouse://IP:端口号/default
                  username: default
                  password:
                  driver-class-name: ru.yandex.clickhouse.ClickHouseDriver

3.数据Entity对象创建

建表相关操作请见ClickHouse复杂查询单表亿级数据案例（可导出Excel）_clickhouse单表查询-CSDN博客

@Data
@TableName("sales")
public class Sales {
    @TableId(type = IdType.AUTO)
    private Long id;
    private Long productId;
    private Integer quantity;
    private Double price;
    private Date timestamp;
    private Long customerId;
    private Double discount;
    private Double totalAmount;
    private String paymentMethod;
    private String status;
    private String shippingAddress;
    private String billingAddress;
    private String orderNotes;
    private Date createdAt;
    private Date updatedAt;
    private Double shippingCost;
    private Double tax;
    private String orderSource;
    private String fulfillmentStatus;
    private String productName;
    private String productCategory;
}

4.基本架构搭建Mapper、Service、ServiceImpl、Controller

@Mapper
public interface SalesMapper extends BaseMapper<Sales> {
}

public interface ISalesService extends IService<Sales> {
}

@Service
public class SalesServiceImpl extends ServiceImpl<SalesMapper, Sales> implements ISalesService {
}

@RestController
@RequestMapping("/sales")
public class SalesController {
    @GetMapping("/{id}")
    @DS("clickHouseDataSource")
    public AppResponse<?> getSalesById(@PathVariable Long id) {
        LambdaQueryWrapper<Sales> queryWrapper=new LambdaQueryWrapper();
        // 数据多，先查询10条试试
        queryWrapper.last("limit 10");
        return AppResponse.success(salesService.list(queryWrapper));
    }
}

5.尝试调用

此时我们开足马力启动项目，调用接口访问这个查询，拿到了数据

还有很多产品都是基于ClickHouse进行二次开发或者加强功能，比如火山云的ByteHouse等，这个组件使用率的上升趋势还是很明显的