JAVA整合FlinkCDC 监控数据库表变化

版本至少jdk8

maven

  <!-- https://mvnrepository.com/artifact/com.alibaba.ververica/flink-connector-mysql-cdc -->
        <dependency>
            <groupId>com.alibaba.ververica</groupId>
            <artifactId>flink-connector-mysql-cdc</artifactId>
            <version>1.1.1</version>
        </dependency>

SqlDwdDeserializationSchema.java

import com.alibaba.fastjson.JSONObject;
import com.alibaba.ververica.cdc.debezium.DebeziumDeserializationSchema;
import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.util.Collector;
import org.apache.kafka.connect.data.Field;
import org.apache.kafka.connect.data.Struct;
import org.apache.kafka.connect.source.SourceRecord;

import java.util.List;

/**
 * flinkCdc 数据结构解析成json
 * @author .
 */
public class SqlDwdDeserializationSchema implements DebeziumDeserializationSchema<JSONObject> {

    private static final long serialVersionUID = -3168848963265670603L;

    @Override
    public void deserialize(SourceRecord record, Collector<JSONObject> out) throws Exception {
        Struct dataRecord = (Struct) record.value();

        Struct afterStruct = dataRecord.getStruct("after");
        Struct beforeStruct = dataRecord.getStruct("before");

        JSONObject operateJson = new JSONObject();

        //操作的sql字段json数据
        JSONObject sqlJson = new JSONObject();

        //操作类型
        String operate_type = "";

        List<Field> fieldsList = null;

        if (afterStruct != null && beforeStruct != null) {
            System.out.println("这是修改数据");
            operate_type = "update";
            fieldsList = afterStruct.schema().fields();
            for (Field field : fieldsList) {
                String fieldName = field.name();
                Object fieldValue = afterStruct.get(fieldName);
                sqlJson.put(fieldName, fieldValue);
            }
        } else if (afterStruct != null) {
            System.out.println("这是新增数据");
            operate_type = "insert";
            fieldsList = afterStruct.schema().fields();
            for (Field field : fieldsList) {
                String fieldName = field.name();
                Object fieldValue = afterStruct.get(fieldName);
                sqlJson.put(fieldName, fieldValue);
            }
        } else if (beforeStruct != null) {
            System.out.println("这是删除数据");
            operate_type = "delete";
            fieldsList = beforeStruct.schema().fields();
            for (Field field : fieldsList) {
                String fieldName = field.name();
                Object fieldValue = beforeStruct.get(fieldName);
                sqlJson.put(fieldName, fieldValue);
            }
        } else {
            System.out.println("error>>>>>>>>>你执行了啥?");
        }

        operateJson.put("sqlJson", sqlJson);

        Struct source = dataRecord.getStruct("source");

        //操作的数据库名
        String database = source.getString("db");

        //操作的表名
        String table = source.getString("table");

        //操作的时间戳（单位：毫秒）
        Object operate_ms = source.get("ts_ms");

        operateJson.put("database", database);
        operateJson.put("table", table);
        operateJson.put("operate_ms", operate_ms);
        operateJson.put("operate_type", operate_type);

        String topic = record.topic();
        System.out.println("topic = " + topic);

        /**
         * 主键字段，这里就只取一个主键 如果有多个 自行修改
         */
        Struct pk = (Struct) record.key();
        List<Field> pkFieldList = pk.schema().fields();
        if (pkFieldList != null && pkFieldList.size() > 0) {
            Field field = pkFieldList.get(0);
            //主键字段
            Object pkName = field.name();
            //主键字段的值
            Object pkValue = pk.get(field.name());
            operateJson.put("pk_filed", pkName);
        }

        out.collect(operateJson);
    }

    @Override
    public TypeInformation<JSONObject> getProducedType() {
        return BasicTypeInfo.of(JSONObject.class);
    }
}

java代码

import com.alibaba.fastjson.JSONObject;
import com.alibaba.ververica.cdc.connectors.mysql.MySQLSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;

/**
 * @author 。
 */
public class MySqlSourceExample {
    public static void main(String[] args) throws Exception {
        SourceFunction<JSONObject> mySqlSource = MySQLSource.<JSONObject>builder()
                .hostname("yourHostname")
                .port(yourPort)
                .databaseList("yourDatabaseName") // set captured database
                .tableList("yourDatabaseName.yourTableName") // set captured table
                .username("yourUsername")
                .password("yourPassword")
                .deserializer(new SqlDwdDeserializationSchema()) // converts SourceRecord to JSON String
                .build();

        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        // enable checkpoint
        env.enableCheckpointing(3000);

        env.addSource(mySqlSource).print();

        env.execute("Print MySQL Snapshot + Binlog");
    }
}