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
Hello.Reader1 小时前
Flink ZooKeeper HA 实战原理、必配项、Kerberos、安全与稳定性调优
安全·zookeeper·flink
AI_56781 小时前
AWS EC2新手入门:6步带你从零启动实例
大数据·数据库·人工智能·机器学习·aws
CRzkHbaXTmHw1 小时前
探索Flyback反激式开关电源的Matlab Simulink仿真之旅
大数据
七夜zippoe2 小时前
CANN Runtime任务描述序列化与持久化源码深度解码
大数据·运维·服务器·cann
盟接之桥2 小时前
盟接之桥说制造:引流品 × 利润品,全球电商平台高效产品组合策略(供讨论)
大数据·linux·服务器·网络·人工智能·制造
忆~遂愿2 小时前
ops-cv 算子库深度解析:面向视觉任务的硬件优化与数据布局(NCHW/NHWC)策略
java·大数据·linux·人工智能
忆~遂愿3 小时前
GE 引擎与算子版本控制:确保前向兼容性与图重写策略的稳定性
大数据·开发语言·docker
米羊1213 小时前
已有安全措施确认(上)
大数据·网络
人道领域4 小时前
AI抢人大战:谁在收割你的红包
大数据·人工智能·算法
qq_12498707535 小时前
基于Hadoop的信贷风险评估的数据可视化分析与预测系统的设计与实现(源码+论文+部署+安装)
大数据·人工智能·hadoop·分布式·信息可视化·毕业设计·计算机毕业设计