Flink + kafka + FlinkSql 计算 10秒滚动窗口内 用户点击次数，之后自定义 sink To mysql

Flink+kafka 流数据 使用FlinkSql 计算 10秒滚动窗口内 用户点击次数，之后自定义 sink To mysql。

Flink版本为1.6.1 

代码如下：

FlinkSqlWindowUserPv.java

import java.sql.Timestamp;
import java.util.Properties;

import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.api.java.tuple.Tuple5;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer010;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.TableConfig;
import org.apache.flink.table.api.java.StreamTableEnvironment;

import pojo.UserPvEntity;


public class FlinkSqlWindowUserPv{

    public static void main(String[] args) throws Exception {

    	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    	
    	env.setParallelism(8);
    	
    	TableConfig tc = new TableConfig();
    	
    	StreamTableEnvironment tableEnv = new StreamTableEnvironment(env, tc);

        Properties properties = new Properties();
        properties.put("bootstrap.servers", "127.0.0.1:9092");
        properties.put("zookeeper.connect", "127.0.0.1:2181");
        properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        properties.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        properties.put("group.id", "test6");

        FlinkKafkaConsumer010 myConsumer = new FlinkKafkaConsumer010("myItems_topic5", new SimpleStringSchema(),
                properties);

        DataStream stream = env.addSource(myConsumer);
        
        DataStream> map = stream.map(new MapFunction>() {

        	private static final long serialVersionUID = 1471936326697828381L;

			@Override
			public Tuple5 map(String value) throws Exception {
				String[] split = value.split(" ");
				return new Tuple5(split[0],split[1],split[2],split[3],Long.valueOf(split[4])*1000);
			}
		});
        
        map.print(); //打印流数据
        
        
        //注册为user表
        tableEnv.registerDataStream("Users", map, "userId,itemId,categoryId,behavior,timestampin,proctime.proctime"); 
        
        //执行sql查询     滚动窗口 10秒    计算10秒窗口内用户点击次数
        Table sqlQuery = tableEnv.sqlQuery("SELECT TUMBLE_END(proctime, INTERVAL '10' SECOND) as processtime,"
        		+ "userId,count(*) as pvcount "
        		+ "FROM Users "
        		+ "GROUP BY TUMBLE(proctime, INTERVAL '10' SECOND), userId");
        
        
        //Table 转化为 DataStream 
        DataStream> appendStream = tableEnv.toAppendStream(sqlQuery,Types.TUPLE(Types.SQL_TIMESTAMP,Types.STRING,Types.LONG));
        
        appendStream.print();
        
        
        //sink to mysql
        appendStream.map(new MapFunction, UserPvEntity>() {

			private static final long serialVersionUID = -4770965496944515917L;

			@Override
			public UserPvEntity map(Tuple3 value) throws Exception {
				
				return new UserPvEntity(Long.valueOf(value.f0.toString()),value.f1,value.f2);
			}
		}).addSink(new SinkUserPvToMySQL2());
        
        env.execute("userPv from Kafka");

    }
    
}

 SinkUserPvToMySQL2.java

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

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

import pojo.UserPvEntity;

public class SinkUserPvToMySQL2 extends RichSinkFunction {

	private static final long serialVersionUID = -4443175430371919407L;
	PreparedStatement ps;
    private Connection connection;

    /**
     * open() 方法中建立连接，这样不用每次 invoke 的时候都要建立连接和释放连接
     *
     * @param parameters
     * @throws Exception
     */
    @Override
    public void open(Configuration parameters) throws Exception {
        super.open(parameters);
        connection = getConnection();
        String sql = "replace into t_user_pv(pvtime,userId, pvcount) values(?, ?, ?);";
        ps = this.connection.prepareStatement(sql);
    }

    @Override
    public void close() throws Exception {
        super.close();
        //关闭连接和释放资源
        if (connection != null) {
            connection.close();
        }
        if (ps != null) {
            ps.close();
        }
    }

    /**
     * 每条数据的插入都要调用一次 invoke() 方法
     *
     * @param value
     * @param context
     * @throws Exception
     */
    @Override
    public void invoke(UserPvEntity userPvEntity, Context context) throws Exception {
        //组装数据，执行插入操作
    	ps.setLong(1, userPvEntity.getTime());
    	ps.setString(2, userPvEntity.getUserId());
        ps.setLong(3, userPvEntity.getPvcount());
        
        ps.executeUpdate();
    }

    private static Connection getConnection() {
        Connection con = null;
        try {
            Class.forName("com.mysql.jdbc.Driver");
            con = DriverManager.getConnection("jdbc:mysql://localhost:3306/myTable??useUnicode=true&characterEncoding=UTF-8","root","123456");
        } catch (Exception e) {
            System.out.println("-----------mysql get connection has exception , msg = "+ e.getMessage());
        }
        return con;
    }
}

结果展示：