知識點：

https://github.com/ververica/flink-cdc-connectors  //官網地址

1、處理類

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");
    }
}

2、列印結果

SourceRecord{sourcePartition={server=mysql-binlog-source}, sourceOffset={ts_sec=1610361995, file=mysql-bin.000004, pos=233436324, row=1, server_id=1, event=2}} ConnectRecord{topic='mysql-binlog-source.test.weblog', kafkaPartition=null, key=Struct{id=6}, keySchema=Schema{mysql_binlog_source.test.weblog.Key:STRUCT}, value=Struct{after=Struct{id=6,url=66666,method=66666,ip=666,args=6666,create_time=1610390788000},source=Struct{version=1.2.0.Final,connector=mysql,name=mysql-binlog-source,ts_ms=1610361995000,db=test,table=weblog,server_id=1,file=mysql-bin.000004,pos=233436459,row=0,thread=944986},op=c,ts_ms=1610361996498}, valueSchema=Schema{mysql_binlog_source.test.weblog.Envelope:STRUCT}, timestamp=null, headers=ConnectHeaders(headers=)}

3、如果需要將資料進行etl，可以自定義實現sink