Flink 基本算子mapkeyBysum
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核心代码:
object TransformTest { def main(args: Array[String]): Unit = { val env = StreamExecutionEnvironment.getExecutionEnvironment env.setParallelism(1) val streamFromFile = env.readTextFile("C:\Users\Mi\Documents\project\idea\FlinkTitorial\src\main\resources\sensor.txt") //------------map-------------- val dataStream1 = streamFromFile.map(d => { val arr = d.split(",") SensorReading(arr(0).trim, arr(1).trim.toLong, arr(2).toDouble) }) //------------keyBY-------------- //此时key是一个元组 val dataStream2: KeyedStream[SensorReading, Tuple] = dataStream1.keyBy(0) val dataStream3: KeyedStream[SensorReading, Tuple] = dataStream1.keyBy("id") //此时key是字段的类型 val dataStream4: KeyedStream[SensorReading, String] = dataStream1.keyBy(_.id) //------------sum-------------- val dataStream5 = dataStream4.sum(2) val dataStream6 = dataStream4.sum("temperature") dataStream6.print env.execute("transform test") } } case class SensorReading(id: String, timestamp: Long, temperature: Double)
sensor.txt文件内容:
sensor_1, 1547718199, 35.80018327300259 sensor_6, 1547718201, 15.402984393403084 sensor_7, 1547718202, 6.720945201171228 sensor_10, 1547718205, 38.101067604893444 sensor_1, 1547718200, 30.8 sensor_1, 1547718201, 40.8
输出结果:
SensorReading(sensor_1,1547718199,35.80018327300259) SensorReading(sensor_6,1547718201,15.402984393403084) SensorReading(sensor_7,1547718202,6.720945201171228) SensorReading(sensor_10,1547718205,38.101067604893444) SensorReading(sensor_1,1547718199,66.60018327300259) SensorReading(sensor_1,1547718199,107.40018327300258)
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