package com.yqg.bigdata.dm.collection.repay.details;
import org.apache.flink.api.java.tuple.Tuple2;
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;
/**
* create by liuzhiwei on 2020/3/24
*/
public class MySQLSink extends RichSinkFunction<Tuple2<Integer, Integer>> {
private transient Connection connection = null;
@Override
public void invoke(Tuple2<Integer, Integer> value, Context context) throws Exception {
PreparedStatement ps = connection.prepareStatement("insert into product_count values(?,?)");
ps.setString(1, value.f0.toString());
ps.setString(2, value.f1.toString());
ps.execute();
//數據量大的話請用批量處理方式
}
@Override
public void open(Configuration parameters) throws Exception {
super.open(parameters);
String url = "jdbc:mysql://localhost:3306/test?characterEncoding=UTF-8";
String username = "root";
String password = "123456";
try {
connection = DriverManager.getConnection(url, username, password);
} catch (Exception e) {
e.printStackTrace();
}
}
@Override
public void close() throws Exception {
super.close();
if (connection != null) {
connection.close();
}
}
}
Flink 自定義MySQL sink簡單例子
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