flink分组取最小值
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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
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