本文主要是介绍Flink写入数据到MySQL案例，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！

案例准备：

1、启动MySQL，在mysql中创建数据库flinkdb，并创建表sensor_temp

CREATE TABLE sensor_temp  (
  id varchar(32),
  temp double
) 

代码实现：

def main(args: Array[String]): Unit = {
    val env: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment
    val dataStream: DataStream[SensorReading] = env.addSource(new MyDefSource)
    dataStream.addSink(new MyJdbcSinkFunction())

    env.execute()
}

class MyJdbcSinkFunction extends RichSinkFunction[SensorReading]{
  var connection: Connection =_
  var insertStmt: PreparedStatement=_
  var updateStmt: PreparedStatement=_
  override def invoke(value: SensorReading, context: SinkFunction.Context[_]): Unit = {
    updateStmt.setDouble(1,value.temperature)
    updateStmt.setString(2,value.id)
    updateStmt.execute()

    if(updateStmt.getUpdateCount == 0){
      insertStmt.setString(1,value.id)
      insertStmt.setDouble(2,value.temperature)
      insertStmt.execute()
    }

  }

  override def open(parameters: Configuration): Unit = {
    connection = DriverManager.getConnection("jdbc:mysql://192.168.91.180:3306/flinkdb?useSSL=false", "root", "123123")
    insertStmt = connection.prepareStatement("insert into sensor_temp(id,temp) value(?,?)")
    updateStmt = connection.prepareStatement("update sensor_temp set temp=? where id=?")

  }

  override def close(): Unit = {
    insertStmt.close()
    updateStmt.close()
    connection.close()
  }

运行结果：

查询数据select * from sensor_temp;

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