Flink SQL/Table API 消费Kafka的json格式数据存到MySQL--存入MySQL通过继承RichSinkFunction来实现

[另一篇通过JDBCAppendTableSink方式实现存入MySQL：https://blog.csdn.net/qq_39799876/article/details/91884031 ]

完整代码

附有Kafka生产json格式数据的代码

package cn.flink;

import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.TableEnvironment;
import org.apache.flink.table.api.java.StreamTableEnvironment;
import org.apache.flink.table.descriptors.Json;
import org.apache.flink.table.descriptors.Kafka;
import org.apache.flink.table.descriptors.Schema;
import org.apache.flink.types.Row;


public class MainDemo {

    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        env.enableCheckpointing(5000);
        StreamTableEnvironment tableEnv = TableEnvironment.getTableEnvironment(env);

        Kafka kafka = new Kafka()
                .version("0.10")
                .topic("kafka")
                .property("bootstrap.servers", "localhost:9092")
                .property("zookeeper.connect", "localhost:2181");
        tableEnv.connect(kafka)
                .withFormat(
                        new Json().failOnMissingField(true).deriveSchema()
                )
                .withSchema(
                        new Schema()
                                .field("id", Types.INT)
                                .field("name", Types.STRING)
                                .field("sex", Types.STRING)
                                .field("score", Types.FLOAT)
                )
                .inAppendMode()
                .registerTableSource("tmp_table");

        String sql = "select * from tmp_table";
        Table table = tableEnv.sqlQuery(sql);

        tableEnv.toAppendStream(table, Info.class).addSink(new MySQLWriter());

        env.execute();
    }
}

public class Info {
    public int id;
    public String name;
    public String sex;
    public float score;

    public Info(){}   //要带有这个无参构造
    public Info(int id,String name,String sex,float score){
        this.id= id;
        this.name = name;
        this.sex = sex;
        this.score = score;
    }

    @Override
    public String toString() {
        return id+":"+name+":"+sex+":"+score;
    }
}

import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.functions.sink.RichSinkFunction;

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;


public class MySQLWriter
        extends RichSinkFunction
{

    private Connection connection;
    private PreparedStatement preparedStatement;

    @Override
    public void open(Configuration parameters) throws Exception {
        super.open(parameters);
        String className = "com.mysql.jdbc.Driver";
        Class.forName(className);
        String url = "jdbc:mysql://localhost:3306/flink";
        String user = "root";
        String password = "123456";
        connection = DriverManager.getConnection(url, user, password);
        String sql = "replace into flinkjson(id,name,sex,score) values(?,?,?,?)";
        preparedStatement = connection.prepareStatement(sql);
        super.open(parameters);
    }

    @Override
    public void close() throws Exception {
        super.close();
        if (preparedStatement != null) {
            preparedStatement.close();
        }
        if (connection != null) {
            connection.close();
        }
        super.close();
    }

    @Override
    public void invoke(Info value, Context context) throws Exception {
        int id = value.id;
        String name = value.name;
        String sex = value.sex;
        Float score = value.score;
        preparedStatement.setInt(1, id);
        preparedStatement.setString(2, name);
        preparedStatement.setString(3,sex);
        preparedStatement.setFloat(4,score);
        int i = preparedStatement.executeUpdate();
        if (i > 0) {
            System.out.println("value=" + value);
        }else{
            System.out.println("error");
        }
    }
}

Kafka生产json格式数据的代码

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.codehaus.jettison.json.JSONObject;

import java.util.Properties;

public class KafkaProducerTest {

    public static void main(String[] args) throws Exception {
        Properties props = new Properties();
        props.put("bootstrap.servers", "localhost:9092");
        props.put("acks", "all");
        props.put("retries", 0);
        props.put("batch.size", 16384);
        props.put("linger.ms", 1);
        props.put("buffer.memory", 33554432);
        props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");

        Producer producer = new KafkaProducer(props);
        for (int i = 0; i < 100; i++) {
            JSONObject event = new JSONObject();
            event.put("id", (int) (Math.random() * 100 + 1))
                    .put("name", "mingzi" + i)
                    .put("sex", i)
                    .put("score", i * 1.0);
            producer.send(new ProducerRecord("nima", Integer.toString(i), event.toString()));
            System.out.println(i);
            Thread.sleep(5000);
        }
        producer.close();
    }
}

pom.xml

有些依赖可能没有用到

  
            org.apache.flink
            flink-core
            1.7.2
        

        
            org.apache.flink
            flink-clients_2.11
            1.7.2
        

        
            org.apache.flink
            flink-java
            1.7.2
        
        
            org.apache.flink
            flink-streaming-scala_2.11
            1.7.2
        

        
            org.apache.flink
            flink-scala_2.11
            1.7.2
        

        
            org.apache.flink
            flink-table_2.11
            1.7.2
        


        
            org.apache.flink
            flink-json
            1.7.2
        

        
            org.apache.flink
            flink-streaming-java_2.11
            1.7.2
        

        
            org.apache.flink
            flink-connector-kafka-0.10_2.11
            1.7.2
        
        
        
            org.apache.logging.log4j
            log4j-core
            2.8.2
        
        
            log4j
            log4j
            1.2.17
        

        
            com.fasterxml.jackson.core
            jackson-databind
            2.9.8
        

        
            joda-time
            joda-time
            2.9.9
        

        
            mysql
            mysql-connector-java
            5.1.45
        

        
            org.codehaus.jettison
            jettison
            1.3.7
        
        
            log4j
            log4j
            1.2.11