Flink CDC的使用

Hadoop_Liang2024-07-02 0:32

MySQL数据准备

sql 复制代码 
create database if not exists test;
use test;
drop table if exists stu;
create table stu (id int primary key auto_increment, name varchar(100), age int);
insert into stu(name, age) values("张三",18);
insert into stu(name, age) values("李四",20);
insert into stu(name, age) values("王五",21);

注意：表必须有主键

开启MySQL binlog

修改MySQL配置，开启binlog

$ sudo vim /etc/my.cnf，添加如下设置

server-id = 1
log-bin=mysql-bin
binlog_format=row
binlog-do-db=test

注意：启用binlog的数据库，需根据实际情况作出修改

重启mysql

复制代码 
$ sudo systemctl restart mysqld

代码开发

依赖

Flink CDC依赖

XML 复制代码 
		<!--cdc 依赖-->
        <dependency>
            <groupId>com.ververica</groupId>
            <artifactId>flink-connector-mysql-cdc</artifactId>
            <version>2.4.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-api-java-bridge</artifactId>
            <version>${flink.version}</version>
        </dependency>

完整依赖

XML 复制代码 
    <properties>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <flink.version>1.17.1</flink.version>
        <flink-cdc.vesion>2.4.0</flink-cdc.vesion>
    </properties>

    <dependencies>
        <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-table-api-java-bridge</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-planner-loader</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-runtime</artifactId>
            <version>${flink.version}</version>
        </dependency>

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

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.33</version>
        </dependency>

        <!--目前中央仓库还没有 jdbc的连接器，暂时用一个快照版本-->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-jdbc</artifactId>
            <version>1.17-SNAPSHOT</version>
        </dependency>


        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-files</artifactId>
            <version>${flink.version}</version>
            <scope>provided</scope>
        </dependency>

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

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-statebackend-rocksdb</artifactId>
            <version>${flink.version}</version>
<!--            <scope>provided</scope>-->
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>3.3.4</version>
<!--            <scope>provided</scope>-->
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-statebackend-changelog</artifactId>
            <version>${flink.version}</version>
            <scope>runtime</scope>
        </dependency>

        <dependency>
            <groupId>com.google.code.findbugs</groupId>
            <artifactId>jsr305</artifactId>
            <version>1.3.9</version>
        </dependency>


        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-api-java-bridge</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-planner-loader</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-runtime</artifactId>
            <version>${flink.version}</version>
        </dependency>

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

        <!--cdc 依赖-->
        <dependency>
            <groupId>com.ververica</groupId>
            <artifactId>flink-connector-mysql-cdc</artifactId>
            <version>${flink-cdc.vesion}</version>
        </dependency>


    </dependencies>

Flink代码

Flink CDC捕获MySQL变更数据（增加、修改、删除），输出到控制台。

java 复制代码 
import com.ververica.cdc.connectors.mysql.source.MySqlSource;
import com.ververica.cdc.connectors.mysql.table.StartupOptions;
import com.ververica.cdc.debezium.JsonDebeziumDeserializationSchema;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

public class FlinkCDCDemo {
    public static void main(String[] args) throws Exception {
        // 环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(4);

        // 数据源
        MySqlSource<String> mySqlSource = MySqlSource.<String>builder()
                .hostname("node4")
                .port(3306)
                .username("root")
                .password("000000")
                .databaseList("test")
                .tableList("test.stu")
                .deserializer(new JsonDebeziumDeserializationSchema())
                .startupOptions(StartupOptions.initial())
                .build();
        DataStreamSource<String> dataStreamSource = env.fromSource(mySqlSource, WatermarkStrategy.noWatermarks(),
                "mysql_source").setParallelism(1);


        // 处理数据

        // 输出数据
        dataStreamSource.print();

        // 执行
        env.execute();


    }
}

运行程序，确保程序无报错，看到如下输出：

18:58:51,826 INFO io.debezium.connector.mysql.MySqlStreamingChangeEventSource - Keepalive thread is running

测试

添加数据

mysql添加数据

复制代码 
mysql> insert into stu(name, age) values("赵六",23);

IDEA控制台输出

复制代码 
{"before":null,"after":{"id":4,"name":"赵六","age":23},"source":{"version":"1.9.7.Final","connector":"mysql","name":"mysql_binlog_source","ts_ms":1719831654000,"snapshot":"false","db":"test","sequence":null,"table":"stu","server_id":1,"gtid":null,"file":"mysql-bin.000001","pos":2300,"row":0,"thread":13,"query":null},"op":"c","ts_ms":1719831654692,"transaction":null}

格式化输出

复制代码 
{
    "before": null,
    "after": {
        "id": 4,
        "name": "赵六",
        "age": 23
    },
    "source": {
        "version": "1.9.7.Final",
        "connector": "mysql",
        "name": "mysql_binlog_source",
        "ts_ms": 1719831654000,
        "snapshot": "false",
        "db": "test",
        "sequence": null,
        "table": "stu",
        "server_id": 1,
        "gtid": null,
        "file": "mysql-bin.000001",
        "pos": 2300,
        "row": 0,
        "thread": 13,
        "query": null
    },
    "op": "c",
    "ts_ms": 1719831654692,
    "transaction": null
}

关注before、after符合增加数据的逻辑，op为c表示添加数据

修改数据

mysql修改数据

复制代码 
mysql> update stu set name="zl", age=19 where name="赵六";

IDEA控制台输出

复制代码 
{"before":{"id":4,"name":"赵六","age":23},"after":{"id":4,"name":"zl","age":19},"source":{"version":"1.9.7.Final","connector":"mysql","name":"mysql_binlog_source","ts_ms":1719831987000,"snapshot":"false","db":"test","sequence":null,"table":"stu","server_id":1,"gtid":null,"file":"mysql-bin.000001","pos":2604,"row":0,"thread":13,"query":null},"op":"u","ts_ms":1719831987238,"transaction":null}

格式化输出

复制代码 
{
    "before": {
        "id": 4,
        "name": "赵六",
        "age": 23
    },
    "after": {
        "id": 4,
        "name": "zl",
        "age": 19
    },
    "source": {
        "version": "1.9.7.Final",
        "connector": "mysql",
        "name": "mysql_binlog_source",
        "ts_ms": 1719831987000,
        "snapshot": "false",
        "db": "test",
        "sequence": null,
        "table": "stu",
        "server_id": 1,
        "gtid": null,
        "file": "mysql-bin.000001",
        "pos": 2604,
        "row": 0,
        "thread": 13,
        "query": null
    },
    "op": "u",
    "ts_ms": 1719831987238,
    "transaction": null
}

关注before、after符合更新的逻辑，op为u表示更新数据

删除数据

mysql删除数据

复制代码 
mysql> delete from stu where id=4;

IDEA控制台输出

复制代码 
{"before":{"id":4,"name":"zl","age":19},"after":null,"source":{"version":"1.9.7.Final","connector":"mysql","name":"mysql_binlog_source","ts_ms":1719832151000,"snapshot":"false","db":"test","sequence":null,"table":"stu","server_id":1,"gtid":null,"file":"mysql-bin.000001","pos":2913,"row":0,"thread":13,"query":null},"op":"d","ts_ms":1719832151198,"transaction":null}
​

格式化输出

复制代码 
{
    "before": {
        "id": 4,
        "name": "zl",
        "age": 19
    },
    "after": null,
    "source": {
        "version": "1.9.7.Final",
        "connector": "mysql",
        "name": "mysql_binlog_source",
        "ts_ms": 1719832151000,
        "snapshot": "false",
        "db": "test",
        "sequence": null,
        "table": "stu",
        "server_id": 1,
        "gtid": null,
        "file": "mysql-bin.000001",
        "pos": 2913,
        "row": 0,
        "thread": 13,
        "query": null
    },
    "op": "d",
    "ts_ms": 1719832151198,
    "transaction": null
}

关注before、after符合删除的逻辑，op为d表示删除数据

完成！enjoy it!

相关推荐
kakwooi1 小时前
Hadoop---MapReduce(3)
大数据·hadoop·mapreduce
数新网络1 小时前
《深入浅出Apache Spark》系列②：Spark SQL原理精髓全解析
大数据·sql·spark
昨天今天明天好多天6 小时前
【数据仓库】
大数据
油头少年_w7 小时前
大数据导论及分布式存储HadoopHDFS入门
大数据·hadoop·hdfs
Elastic 中国社区官方博客8 小时前
释放专利力量：Patently 如何利用向量搜索和 NLP 简化协作
大数据·数据库·人工智能·elasticsearch·搜索引擎·自然语言处理
力姆泰克8 小时前
看电动缸是如何提高农机的自动化水平
大数据·运维·服务器·数据库·人工智能·自动化·1024程序员节
力姆泰克8 小时前
力姆泰克电动缸助力农业机械装备，提高农机的自动化水平
大数据·服务器·数据库·人工智能·1024程序员节
QYR市场调研8 小时前
自动化研磨领域的革新者：半自动与自动自磨机的技术突破
大数据·人工智能
半部论语9 小时前
第三章：TDengine 常用操作和高级功能
大数据·时序数据库·tdengine
EasyGBS10 小时前
国标GB28181公网直播EasyGBS国标GB28181软件管理解决方案
大数据·网络·音视频·媒体·视频监控·gb28181
热门推荐
01【HarmonyOS】HUAWEI DevEco Studio 下载地址汇总02(欧拉)openEuler系统添加网卡文件配置流程、(欧拉)openEuler系统手动配置ipv6地址流程、(欧拉)openEuler系统网络管理说明03组基轨迹建模 GBTM的介绍与实现（Stata 或 R）04【AIGC】重塑未来的科技巨轮05全面解析：构建基于深度学习的安全帽检测系统（UI界面+YOLO代码+数据集）06【经验分享】Ubuntu22.04安装微信(linux官方版)07基于YOLOv10深度学习的CT扫描图像肾结石智能检测系统【python源码+Pyqt5界面+数据集+训练代码】深度学习实战、目标检测08Ubuntu 20.04使用Livox mid 360 测试 FAST_LIO09RAG 实践- Ollama+RagFlow 部署本地知识库10红米手机使用google play