使用Flink-JDBC将数据同步到Doris

在现代数据分析和处理环境中,数据同步是一个至关重要的环节。Apache Flink和Doris是两个强大的工具,分别用于实时数据处理和大规模并行处理(MPP)SQL数据库。本文将介绍如何使用Flink-JDBC连接器将数据同步到Doris。

一、背景介绍

1、Apache Flink:Flink是一个开源流处理框架,用于处理无界和有界数据流。它提供了高吞吐量、低延迟的数据处理能力,并支持复杂的状态管理和容错机制。

2、Doris:Doris(原百度Palo)是一个基于MPP架构的高性能、实时分析型数据库。它支持高并发查询和高吞吐量的复杂分析场景,具有亚秒级响应时间,并兼容MySQL协议。

3、JDBC:Java数据库连接(JDBC)是一种Java API,用于连接和操作数据库。Flink提供了JDBC连接器,允许从各种关系型数据库中读取和写入数据。

二、准备工作

1、安装Flink:确保你的环境中已经安装了Apache Flink。本文示例使用的是Flink 1.20.0版本。

2、安装Doris:确保你的环境中已经安装并配置了Doris。

3、准备相关测试数据集(excel)。

4、依赖库:使用flink-connector-jdbc和Doris的JDBC驱动。如果你使用的是Maven,可以在项目的pom.xml文件中添加以下依赖:

java 复制代码
<dependencies>
  <!--    flink-->
  <dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-streaming-java</artifactId>
    <version>${flink.version}</version>
  </dependency>

  <dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-clients</artifactId>
    <version>${flink.version}</version>
  </dependency>
  <dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-base</artifactId>
    <version>${flink.version}</version>
  </dependency>
  <dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-kafka</artifactId>
    <version>${flink-kafka.version}</version>
  </dependency>
  <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-connector-jdbc -->
  <dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-jdbc</artifactId>
    <version>${flink-jdbc.version}</version>
  </dependency>

  <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-connector-files -->
  <dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-files</artifactId>
    <version>${flink.version}</version>
  </dependency>

  <!-- flink-doris-connector -->
  <dependency>
    <groupId>org.apache.doris</groupId>
    <artifactId>flink-doris-connector-1.16</artifactId>
    <version>${flink-doris.version}</version>
  </dependency>

  <!--    json处理-->
  <dependency>
    <groupId>com.alibaba.fastjson2</groupId>
    <artifactId>fastjson2</artifactId>
    <version>2.0.53</version>
  </dependency>
  <dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>easyexcel</artifactId>
    <version>4.0.3</version>
  </dependency>

  <dependency>
    <groupId>org.projectlombok</groupId>
    <artifactId>lombok</artifactId>
    <version>1.18.36</version>
  </dependency>
  <!-- https://mvnrepository.com/artifact/org.apache.logging.log4j/log4j-core -->
  <dependency>
    <groupId>org.apache.logging.log4j</groupId>
    <artifactId>log4j-core</artifactId>
    <version>2.24.3</version>
  </dependency>
  <dependency>
    <groupId>mysql</groupId>
    <artifactId>mysql-connector-java</artifactId>
    <version>8.0.27</version>
  </dependency>

  <dependency>
    <groupId>junit</groupId>
    <artifactId>junit</artifactId>
    <version>3.8.1</version>
    <scope>test</scope>
  </dependency>
</dependencies>

三、实现步骤

1.读取并解析excel中的测试数据集

java 复制代码
package org.example.day20250105;

import com.alibaba.excel.EasyExcel;
import com.alibaba.excel.context.AnalysisContext;
import com.alibaba.excel.read.listener.ReadListener;
import com.alibaba.excel.support.ExcelTypeEnum;
import org.example.day20250105.domain.*;
import org.example.day20250105.flink.jdbc.OdsXwDetailDataWriteByFlink;

import java.util.ArrayList;
import java.util.List;

public class ExcelDataHandle {
    private static final String filePath = "src/main/resources/20250105/WW2216069019-循环-90-3-1-20230104110446.xlsx";
    /**
     * 每隔5条存储数据库,实际使用中可以100条,然后清理list ,方便内存回收
     */
    private static final int BATCH_COUNT = 1000;
    /**
     * 缓存的数据
     */
    private static List<OdsXwCycleData> odsXwCycleDataList = new ArrayList<>(BATCH_COUNT);
    private static List<OdsXwDetailData> odsXwDetailDataList = new ArrayList<>(BATCH_COUNT);
    private static List<OdsXwStepData> odsXwStepDataList = new ArrayList<>(BATCH_COUNT);
    private static List<OdsTestFlow> odsTestFlowList = new ArrayList<>(BATCH_COUNT);
    private static final OdsTestFlow finalFlow = new OdsTestFlow();

    public static void main(String[] args) {
        EasyExcel.read(filePath, OdsTestFlowDataFormat.class, new OdsTestFlowDataHandle()).sheet(1).doRead();
        System.out.println(odsTestFlowList.add(finalFlow));
        System.out.println(odsTestFlowList);

    }

    public static List<OdsXwCycleData> readCycleData() {
        EasyExcel.read(filePath, OdsXwCycleData.class, new OdsXwCycleDataHandle()).sheet(2).doRead();
        return odsXwCycleDataList;
    }

    public static List<OdsTestFlow> readTestFlowData(){
        EasyExcel.read(filePath, OdsTestFlowDataFormat.class, new OdsTestFlowDataHandle()).sheet(1).doRead();
        return odsTestFlowList;
    }
    public static List<OdsXwStepData> readStepData() {
        EasyExcel.read(filePath, OdsXwStepData.class, new OdsXwStepDataHandle()).excelType(ExcelTypeEnum.XLSX).sheet(3).doRead();
        return odsXwStepDataList;
    }

    public static List<OdsXwDetailData> readDetailData() {
        EasyExcel.read(filePath, OdsXwDetailData.class, new OdsXwDetailDataHandle()).sheet(4).doRead();
        return odsXwDetailDataList;
    }

    /**
     * 新威原始测试流程数据   sheet 1
     */
    public static class OdsTestFlowDataHandle implements ReadListener<OdsTestFlowDataFormat> {
        private static int rowCount = 0;

        @Override
        public void invoke(OdsTestFlowDataFormat format, AnalysisContext analysisContext) {
            if (rowCount > 5) {
                return;
            }
            if (rowCount == 0) {
                finalFlow.setStartStepNo(format.getV1());
                finalFlow.setVoltageUpperLimit(format.getV2());
                finalFlow.setBatteryBatchNumber(format.getV3());
            } else if (rowCount == 1) {
                finalFlow.setCycleTimes(format.getV1());
                finalFlow.setVoltageLowerLimit(format.getV2());
                finalFlow.setCreator(format.getV3());
            } else if (rowCount == 2) {
                finalFlow.setRecordCondition(format.getV1());
                finalFlow.setCurrentUpperLimit(format.getV2());
                finalFlow.setRemark(format.getV3());
            } else if (rowCount == 3) {
                finalFlow.setVoltageRange(format.getV1());
                finalFlow.setCurrentLowerLimit(format.getV2());
            } else if (rowCount == 4) {
                finalFlow.setCurrentRange(format.getV1());
                finalFlow.setStartDatetime(format.getV2());
                finalFlow.setTestBarcode(format.getV3());
            } else if (rowCount == 5) {
                finalFlow.setActiveSubstances(format.getV1());
                finalFlow.setNominalCapacity(format.getV2());
            }
            rowCount++;
        }

        @Override
        public void doAfterAllAnalysed(AnalysisContext analysisContext) {
            odsTestFlowList.add(finalFlow);
        }
    }

    /**
     * 循环数据处理   sheet 2
     */
    public static class OdsXwCycleDataHandle implements ReadListener<OdsXwCycleData> {
        @Override
        public void invoke(OdsXwCycleData odsXwCycleData, AnalysisContext analysisContext) {
            odsXwCycleDataList.add(odsXwCycleData);
//            if (odsXwCycleDataList.size() >= BATCH_COUNT) {
//                // 存储完成清理 list
//                odsXwCycleDataList.clear();
//            }
        }

        @Override
        public void doAfterAllAnalysed(AnalysisContext analysisContext) {

        }
    }

    /**
     * 新威原始详情数据 sheet 4
     */
    public static class OdsXwDetailDataHandle implements ReadListener<OdsXwDetailData> {
        @Override
        public void invoke(OdsXwDetailData odsXwDetailData, AnalysisContext analysisContext) {
            odsXwDetailDataList.add(odsXwDetailData);
            if (odsXwDetailDataList.size() >= BATCH_COUNT) {
                //每1000条去调用存储方法一次
                OdsXwDetailDataWriteByFlink.save(odsXwDetailDataList);
                // 存储完成清理 list
                odsXwDetailDataList.clear();
            }
        }

        @Override
        public void doAfterAllAnalysed(AnalysisContext analysisContext) {

        }
    }

    /**
     * 新威原始工步数据 sheet 3
     */
    public static class OdsXwStepDataHandle implements ReadListener<OdsXwStepData> {
        @Override
        public void invoke(OdsXwStepData odsXwStepData, AnalysisContext analysisContext) {
            odsXwStepDataList.add(odsXwStepData);
        }

        @Override
        public void doAfterAllAnalysed(AnalysisContext analysisContext) {

        }
    }
}

2.通过filnk-jdbc写入到doris中

java 复制代码
package org.example.day20250105.flink;

public interface DorisConstant {
   public static final String FE_NODE_URL = "192.168.12.244:18030";
    String BE_NODE_URL = "192.168.12.244:18030";

    String DORIS_JDBC_URL = "jdbc:mysql://192.168.12.244:19030/test_db_czq";

    String USERNAME = "root";
    String PASSWORD = "*******";
    String DB_NAMME = "test_db_czq";

    String DRIVER_CLASS_NAME = "com.mysql.cj.jdbc.Driver";
}


package org.example.day20250105.flink.jdbc;

import org.apache.flink.connector.jdbc.JdbcConnectionOptions;
import org.apache.flink.connector.jdbc.JdbcSink;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.example.day20250105.ExcelDataHandle;
import org.example.day20250105.flink.DorisConstant;

/**
 * INSERT INTO `test_db_czq`.`ods_xw_step_data` (`cycle_id`, `step_id`, `step_no`, `step_type`, `step_time`, `start_absolute_time`, `end_absolute_time`, `capacity`, `specific_capacity`, `charge_capacity`, `charge_specific_capacity`, `discharge_capacity`, `discharge_specific_capacity`, `net_discharge_capacity`, `energy`, `specific_energy`, `charge_energy`, `charge_specific_energy`, `discharge_energy`, `discharge_specific_energy`, `net_discharge_energy`, `super_capacitor`, `initial_voltage`, `charge_initial_voltage`, `discharge_initial_voltage`, `end_voltage`, `charge_end_voltage`, `discharge_end_voltage`, `charge_median_voltage`, `discharge_median_voltage`, `initial_current`, `end_current`, `dcir`, `t1_start_temperature`, `t1_end_temperature`, `t1_max_temperature`, `t1_min_temperature`, `v1_start_voltage`, `v1_end_voltage`, `v1_max_voltage`, `v1_min_voltage`, `file_name`) VALUES ('5', '30', '45', '恒流放电', '02:00:19', '2023-01-03 03:47:37', '2023-01-03 05:47:56', '4.0266', '4026648', '0', '0', '4.0266', '4026648', '4.0266', '12.858', '12857977.78', '0', '0', '12.858', '12857977.78', '12.858', '10407.4004', '3.4573', '0', '3.4573', '1.9993', '0', '1.9993', '0', '3.2285', '0', '-2.0089', '0', '25.3', '25.5', '25.6', '25.2', '-0.0003', '-0.0003', '-0.0001', '-0.0003', NULL);
 */
public class OdsXwStepDataWriteByFlink {
    public static void main(String[] args) throws Exception {
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        env.fromData(ExcelDataHandle.readStepData())
                .addSink(JdbcSink.sink(
                        "INSERT INTO `test_db_czq`.`ods_xw_step_data` " +
                                "(`cycle_id`, `step_id`, `step_no`, `step_type`, `step_time`, `start_absolute_time`, " +
                                "`end_absolute_time`, `capacity`, `specific_capacity`, `charge_capacity`, `charge_specific_capacity`," +
                                " `discharge_capacity`, `discharge_specific_capacity`, `net_discharge_capacity`, `energy`, `specific_energy`, " +
                                "`charge_energy`, `charge_specific_energy`, `discharge_energy`, `discharge_specific_energy`, `net_discharge_energy`, " +
                                "`super_capacitor`, `initial_voltage`, `charge_initial_voltage`, `discharge_initial_voltage`, `end_voltage`, `charge_end_voltage`," +
                                " `discharge_end_voltage`, `charge_median_voltage`, `discharge_median_voltage`, `initial_current`, `end_current`, `dcir`, " +
                                "`t1_start_temperature`, `t1_end_temperature`, `t1_max_temperature`, `t1_min_temperature`, `v1_start_voltage`, `v1_end_voltage`, " +
                                "`v1_max_voltage`, `v1_min_voltage`, `file_name`) " +
                                "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?,?, ?, ?, ?, ?, ?, ?, ?, ?, ?,?, ?, ?, ?, ?, ?, ?, ?, ?, ?,?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?);",
                        (ps, data) -> {
                            ps.setString(1, data.getCycle_id());
                            ps.setString(2, data.getStep_id());
                            ps.setString(3, data.getStep_no());
                            ps.setString(4, data.getStep_type());
                            ps.setString(5, data.getStep_time());
                            ps.setString(6, data.getStart_absolute_time());
                            ps.setString(7, data.getEnd_absolute_time());
                            ps.setString(8, data.getCapacity());
                            ps.setString(9, data.getSpecific_capacity());
                            ps.setString(10, data.getCharge_capacity());
                            ps.setString(11, data.getCharge_specific_capacity());
                            ps.setString(12, data.getDischarge_capacity());
                            ps.setString(13, data.getDischarge_specific_capacity());
                            ps.setString(14, data.getNet_discharge_capacity());
                            ps.setString(15, data.getEnergy());
                            ps.setString(16, data.getSpecific_energy());
                            ps.setString(17, data.getCharge_energy());
                            ps.setString(18, data.getCharge_specific_energy());
                            ps.setString(19, data.getDischarge_energy());
                            ps.setString(20, data.getDischarge_specific_energy());
                            ps.setString(21, data.getNet_discharge_energy());
                            ps.setString(22, data.getSuper_capacitor());
                            ps.setString(23, data.getInitial_voltage());
                            ps.setString(24, data.getCharge_initial_voltage());
                            ps.setString(25, data.getDischarge_initial_voltage());
                            ps.setString(26, data.getEnd_voltage());
                            ps.setString(27, data.getCharge_end_voltage());
                            ps.setString(28, data.getDischarge_end_voltage());
                            ps.setString(29, data.getCharge_median_voltage());
                            ps.setString(30, data.getDischarge_median_voltage());
                            ps.setString(31, data.getInitial_current());
                            ps.setString(32, data.getEnd_current());
                            ps.setString(33, data.getDcir());
                            ps.setString(34, data.getT1_start_temperature());
                            ps.setString(35, data.getT1_end_temperature());
                            ps.setString(36, data.getT1_max_temperature());
                            ps.setString(37, data.getT1_min_temperature());
                            ps.setString(38, data.getV1_start_voltage());
                            ps.setString(39, data.getV1_end_voltage());
                            ps.setString(40, data.getV1_max_voltage());
                            ps.setString(41, data.getV1_min_voltage());
                            ps.setString(42, data.getFile_name());
                        },
                        new JdbcConnectionOptions.JdbcConnectionOptionsBuilder()
                                .withUsername(DorisConstant.USERNAME)
                                .withPassword(DorisConstant.PASSWORD)
                                .withDriverName(DorisConstant.DRIVER_CLASS_NAME)
                                .withUrl(DorisConstant.DORIS_JDBC_URL)
                                .build()
                ));
        env.execute();
    }
}
复制代码

四、实现结果

登录Doris后台可以看到数据已经同步到了ods_xw_step_data表中

相关推荐
Chasing Aurora8 小时前
Git 工程指引(命令+问题)
大数据·git·elasticsearch·团队开发·互联网大厂
TG:@yunlaoda360 云老大9 小时前
阿里云国际站代理商RPA跨境服务的适用场景有哪些?
大数据·阿里云·rpa
微盛企微增长小知识9 小时前
2025企业微信服务商测评:头部服务商微盛AI·企微管家技术实力与落地效果解析
大数据·人工智能·企业微信
TMO Group 探谋网络科技10 小时前
AI电商的应用:Magento 使用 Adobe 生成式 AI改造7大业务场景
大数据·人工智能·adobe·ai
UI设计兰亭妙微10 小时前
理性数据,温柔体验:北京兰亭妙微解码 Hydra Corps. 企业管理界面的 “松弛感设计”
大数据·人工智能·用户体验设计
慎独41310 小时前
家家有:从单向支出到价值循环,绿色积分如何 重构商业逻辑?
大数据·人工智能
梦里不知身是客1110 小时前
flink使用 DefaultResourceCalculator(默认资源计算器) 策略
大数据·flink
五度易链-区域产业数字化管理平台11 小时前
十五五规划明确数智方向数字经济将迎新变化,五度易链大数据、AI技术如何从单点应用走向全域赋能
大数据·人工智能
zhongerzixunshi11 小时前
高新技术企业认定成功后,企业能享受哪些政策优惠
大数据·人工智能
小王不爱笑13211 小时前
Git 从初始化到远程推送完整实操笔记
大数据·elasticsearch·搜索引擎