flink分组取最小值

import org.apache.flink.api.common.functions.{FilterFunction, ReduceFunction, RichMapFunction}
import org.apache.flink.configuration.Configuration
import org.apache.flink.streaming.api.scala._
object TransformTest {
  def main(args: Array[String]): Unit = {
    val env = StreamExecutionEnvironment.getExecutionEnvironment
    env.setParallelism(1)
    //0.从文件中读取数据
    val inputPath = "D:\\ideaDemo\\maven_flink\\src\\main\\resources\\sensor.txt";
    val inputStream = env.readTextFile(inputPath)

    //1.先转换成样例类类型(简单转换操作)
    val dataStream = inputStream.map(data => {
      val arr = data.split(",")
      SensorReding(arr(0), arr(1).toLong, arr(2).toDouble)
    })
    //2.分组聚合，输出 每个传感器当前最小值
    val aggSteam = dataStream
      .keyBy("id") //根据id进行分组
      .minBy("temperature")

    aggSteam.print()

   env.execute()
  }

 数据

sensor_1,1547718101,35.8
sensor_1,1547718102,22.2
sensor_1,1547718101,55.3
sensor_1,1547718102,24.1
sensor_1,1547718103,57
sensor_1,1547718103,58
sensor_1,1547718103,59
sensor_6,1547718101,15.4
sensor_7,1547718102,6.7
sensor_10,1547718205,38.1