Flink之Mysql数据CDC

知识点：

https://github.com/ververica/flink-cdc-connectors  //官网地址

1、依赖

  <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_2.11</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-clients_2.11</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.16</version>
        </dependency>

        <dependency>
            <groupId>com.alibaba.ververica</groupId>
            <!-- add the dependency matching your database -->
            <artifactId>flink-connector-mysql-cdc</artifactId>
            <version>1.0.0</version>
        </dependency>

        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-api</artifactId>
            <version>1.7.25</version>
        </dependency>

        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-log4j12</artifactId>
            <version>1.7.25</version>
        </dependency>

2、处理类

import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import com.alibaba.ververica.cdc.debezium.StringDebeziumDeserializationSchema;
import com.alibaba.ververica.cdc.connectors.mysql.MySQLSource;
/**
 * @program: Flink1.11
 * @description:
 * @author: yang
 * @create: 2021-01-11 17:41
 */
public class MySqlBinlogSourceExample {
    public static void main(String[] args) throws Exception {
        SourceFunction<String> sourceFunction = MySQLSource.<String>builder()
                .hostname("localhost")
                .port(3306)
                .databaseList("test")
                // monitor all tables under inventory database
                .username("root")
                .password("root")
                .deserializer(new StringDebeziumDeserializationSchema())
                // converts SourceRecord to String
                .build();

        StreamExecutionEnvironment env = StreamExecutionEnvironment.createLocalEnvironmentWithWebUI(new Configuration());

        env.addSource(sourceFunction).print().setParallelism(1);
        // use parallelism 1 for sink to keep message ordering
        env.execute("test");
    }
}

3、binlog结果

修改:befor and after 
SourceRecord{
    sourcePartition={server=mysql-binlog-source}, 
    sourceOffset={ts_sec=1610362335, file=mysql-bin.000004, pos=233445691, row=1, server_id=1, event=2}
} 
ConnectRecord
{topic='mysql-binlog-source.test.weblog', kafkaPartition=null, key=Struct{id=5}, keySchema=Schema{mysql_binlog_source.test.weblog.Key:STRUCT}, value=Struct{before=Struct{id=5,url=5,method=5,ip=5,args=5,create_time=1610390670000},after=Struct{id=5,url=5555,method=5555,ip=5555,args=5555,create_time=1610390670000},source=Struct{version=1.2.0.Final,connector=mysql,name=mysql-binlog-source,ts_ms=1610362335000,db=test,table=weblog,server_id=1,file=mysql-bin.000004,pos=233445826,row=0,thread=944986},op=u,ts_ms=1610362335615}, valueSchema=Schema{mysql_binlog_source.test.weblog.Envelope:STRUCT}, timestamp=null, headers=ConnectHeaders(headers=)
}


增加:只有after
SourceRecord{sourcePartition={server=mysql-binlog-source}, sourceOffset={file=mysql-bin.000004, pos=233455303}} 
ConnectRecord
{topic='mysql-binlog-source.test.weblog', kafkaPartition=null, key=Struct{id=7}, keySchema=Schema{mysql_binlog_source.test.weblog.Key:STRUCT}, value=Struct{after=Struct{id=7,url=7,method=7,ip=7,args=7,create_time=1610391478000},source=Struct{version=1.2.0.Final,connector=mysql,name=mysql-binlog-source,ts_ms=0,snapshot=last,db=test,table=weblog,server_id=0,file=mysql-bin.000004,pos=233455303,row=0},op=c,ts_ms=1610362692061}, valueSchema=Schema{mysql_binlog_source.test.weblog.Envelope:STRUCT}, timestamp=null, headers=ConnectHeaders(headers=)}


删除:只有before
SourceRecord{sourcePartition={server=mysql-binlog-source}, sourceOffset={ts_sec=1610362743, file=mysql-bin.000004, pos=233456891, row=1, server_id=1, event=2}} ConnectRecord{topic='mysql-binlog-source.test.weblog', kafkaPartition=null, key=Struct{id=1}, keySchema=Schema{mysql_binlog_source.test.weblog.Key:STRUCT}, value=Struct{before=Struct{id=1,url=1,method=1,ip=1,args=1,create_time=1603115590000},source=Struct{version=1.2.0.Final,connector=mysql,name=mysql-binlog-source,ts_ms=1610362743000,db=test,table=weblog,server_id=1,file=mysql-bin.000004,pos=233457026,row=0,thread=944986},op=d,ts_ms=1610362744527}, valueSchema=Schema{mysql_binlog_source.test.weblog.Envelope:STRUCT}, timestamp=null, headers=ConnectHeaders(headers=)}

4、如果需要将数据进行etl，解析数据，然后自定义实现sink

#####################################测试代码不能用，由于开源不完善，所以无法完成....##################################################

5、测试代码

import com.alibaba.fastjson.JSON;
import com.alibaba.ververica.cdc.debezium.DebeziumDeserializationSchema;
import com.alibaba.ververica.cdc.debezium.StringDebeziumDeserializationSchema;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import com.alibaba.ververica.cdc.connectors.mysql.MySQLSource;
import org.apache.flink.util.Collector;
import org.apache.kafka.connect.data.Struct;
import org.apache.kafka.connect.source.SourceRecord;

import java.lang.reflect.Field;

/**
 * @program: Flink1.11
 * @description:
 * @author: yang
 * @create: 2021-01-11 17:41
 */
public class MySqlBinlogSourceExample {



    public static void main(String[] args) throws Exception {
        SourceFunction<String> sourceFunction = MySQLSource.<String>builder()
                .hostname("123.207.27.238")
                .port(3306)
                .databaseList("test","spark_job")
                .tableList("test.weblog","spark_test") 
                .username("root")
                .password("hushuo")
                .deserializer(new StringDebeziumDeserializationSchema())
//                .deserializer(new MyDebeziumDeserializationSchema())
                .build();

        StreamExecutionEnvironment env = StreamExecutionEnvironment.createLocalEnvironmentWithWebUI(new Configuration());
        env.addSource(sourceFunction).print().setParallelism(1);

//        env.addSource(sourceFunction).map(new MyMapHandler()).print().setParallelism(1);

        env.execute("test");
    }
}


class MyMapHandler implements MapFunction<String, Object>{

    public Object map(String s) throws Exception {
        SourceRecord sourceRecord = JSON.toJavaObject(JSON.parseObject(s),SourceRecord.class);
        Struct struct = (Struct)sourceRecord.value();
        System.out.println("struct:"+struct);
        return s;
    }
}


class MyDebeziumDeserializationSchema implements DebeziumDeserializationSchema{

    public static final String CREATE = "c";
    public static final String DELETE = "d";
    public static final String UPDATE = "u";
    public void deserialize(SourceRecord sourceRecord, Collector collector) throws Exception {
        Struct value = (Struct)sourceRecord.value();
        String op = value.getString("op");
        Struct data = null;
        if(CREATE.equals(op)){
            //增加
            data = this.createData(value);
        }else if(DELETE.equals(op)){
            //删除
            data = this.deleteData(value);
        }else if(UPDATE.equals(op)){
            //修改
            data = this.updateData(value);
        }else {
            throw new RuntimeException("data is error......");
        }
        collector.collect(JSON.toJSONString(data));

    }

    public TypeInformation getProducedType() {
        return  BasicTypeInfo.STRING_TYPE_INFO;
    }

    private Struct updateData( Struct value){
        System.out.println("修改");
        Struct beforeData = (Struct)value.get("before");
        System.out.println("修改之前数据before:"+beforeData.toString());
        Struct afterData = (Struct)value.get("after");
        System.out.println("修改之后数据afterData:"+afterData.toString());
        return afterData;
    }

    private Struct deleteData( Struct value){
        System.out.println("删除");
        Struct beforeData = (Struct)value.get("before");
        System.out.println("before:"+beforeData.toString());
        return beforeData;
    }
    private Struct createData( Struct value){
        System.out.println("增加");
        Struct afterData = (Struct)value.get("after");
        System.out.println("afterData:"+afterData.toString());
        return afterData;
    }
}