springboot 使用clickhouse实时大数据分析引擎(使用方式)

声明：

因项目中使用clickhouse引擎这里springboot使用的方式是jdbc方式连接，这种方式的好处是可以使用clickhouse 自带的fetch方法批量从clickhouse中获取数据，对于大量数据的下载来说，比较好

因为如果全部拿到内存中处理，大量数据会有内存溢出的结果

如果批量多次请求数据库对于数据库查询等也不靠谱，所有直接使用clickhouse jdbc连接来满足这种情况，不使用mybatis等框架来管理，这里根据大家不同的需求酌情参考即可

使用方式：

第一步：加入clickhouse jar包依赖

        
            ru.yandex.clickhouse
            clickhouse-jdbc
            0.1.40
        

第二步：配置数据库连接属性配置文件，yml方式 此处仅作为参数，不连接任何驱动

clickhouse:
  address: jdbc:clickhouse://172.20.xxx.xxx:8123
  username: default
  password: xxx
  db: marketing
  socketTimeout: 600000

第三步：添加数据库连接操作util工具类

import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
import net.sf.json.JSONObject;
import ru.yandex.clickhouse.ClickHouseConnection;
import ru.yandex.clickhouse.ClickHouseDataSource;
import ru.yandex.clickhouse.settings.ClickHouseProperties;
 
import java.sql.*;
import java.util.*;
/**
 * @Description:
 * @Date 2018/11/12
 */
@Slf4j
@Component
public class ClickHouseUtil {
    private static String clickhouseAddress;
    private static String clickhouseUsername;
    private static String clickhousePassword;
    private static String clickhouseDB;
    private static Integer clickhouseSocketTimeout;
    @Value("${clickhouse.address}")
    public  void setClickhouseAddress(String address) {
        ClickHouseUtil.clickhouseAddress = address;
    }
    @Value("${clickhouse.username}")
    public  void setClickhouseUsername(String username) {
        ClickHouseUtil.clickhouseUsername = username;
    @Value("${clickhouse.password}")
    public  void setClickhousePassword(String password) {
        ClickHouseUtil.clickhousePassword = password;
    @Value("${clickhouse.db}")
    public  void setClickhouseDB(String db) {
        ClickHouseUtil.clickhouseDB = db;
    @Value("${clickhouse.socketTimeout}")
    public  void setClickhouseSocketTimeout(Integer socketTimeout) {
        ClickHouseUtil.clickhouseSocketTimeout = socketTimeout;
    public static Connection getConn() {
        ClickHouseConnection conn = null;
        ClickHouseProperties properties = new ClickHouseProperties();
        properties.setUser(clickhouseUsername);
        properties.setPassword(clickhousePassword);
        properties.setDatabase(clickhouseDB);
        properties.setSocketTimeout(clickhouseSocketTimeout);
        ClickHouseDataSource clickHouseDataSource = new ClickHouseDataSource(clickhouseAddress,properties);
        try {
            conn = clickHouseDataSource.getConnection();
            return conn;
        } catch (SQLException e) {
            e.printStackTrace();
        }
        return null;
    public static List exeSql(String sql){
        log.info("cliockhouse 执行sql：" + sql);
        Connection connection = getConn();
            Statement statement = connection.createStatement();
            ResultSet results = statement.executeQuery(sql);
            ResultSetMetaData rsmd = results.getMetaData();
            List list = new ArrayList();
            while(results.next()){
                JSONObject row = new JSONObject();
                for(int i = 1;i<=rsmd.getColumnCount();i++){
                    row.put(rsmd.getColumnName(i),results.getString(rsmd.getColumnName(i)));
                }
                list.add(row);
            }
            return list;
}

第四步：Test简单使用执行sql查询数据

import com.renrenche.databus.common.ClickHouseUtil;
import com.renrenche.databus.common.Result;
import com.renrenche.databus.domain.logdata.fem.FemParam;
import com.renrenche.databus.service.fem.FemMainService;
import net.sf.json.JSONObject;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
 
import java.util.List;
/**
 * @Auther: qixin
 * @Date: 2018/12/11 15:05
 * @Description:
 */
@RunWith(SpringRunner.class)
@SpringBootTest
public class SemTest {
    @Test
    public void getFrsDataTest(){
        System.out.println("******************");
        String sql="select * from marketing.sem_campaign_real_time_report";
        List result= ClickHouseUtil.exeSql(sql);
    }
}

执行完毕打印结果查看即可，

fetch方法之后再补充

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