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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.flink.training.exercises.longrides.scala
import org.apache.flink.configuration.Configuration
import org.apache.flink.streaming.api.TimeCharacteristic
import org.apache.flink.streaming.api.functions.KeyedProcessFunction
import org.apache.flink.streaming.api.scala.{StreamExecutionEnvironment, _}
import org.apache.flink.training.exercises.common.datatypes.TaxiRide
import org.apache.flink.training.exercises.common.sources.TaxiRideGenerator
import org.apache.flink.training.exercises.common.utils.ExerciseBase._
import org.apache.flink.training.exercises.common.utils.{ExerciseBase, MissingSolutionException}
import org.apache.flink.util.Collector
/**
* The "Long Ride Alerts" exercise of the Flink training in the docs.
*
* The goal for this exercise is to emit START events for taxi rides that have not been matched
* by an END event during the first 2 hours of the ride.
*
*/
object LongRidesExercise {
def main(args: Array[String]) {
// set up the execution environment
val env = StreamExecutionEnvironment.getExecutionEnvironment
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
env.setParallelism(ExerciseBase.parallelism)
val rides = env.addSource(rideSourceOrTest(new TaxiRideGenerator()))
val longRides = rides
.keyBy(_.rideId)
.process(new ImplementMeFunction())
printOrTest(longRides)
env.execute("Long Taxi Rides")
}
class ImplementMeFunction extends KeyedProcessFunction[Long, TaxiRide, TaxiRide] {
override def open(parameters: Configuration): Unit = {
throw new MissingSolutionException()
}
override def processElement(ride: TaxiRide,
context: KeyedProcessFunction[Long, TaxiRide, TaxiRide]#Context,
out: Collector[TaxiRide]): Unit = {
}
override def onTimer(timestamp: Long,
ctx: KeyedProcessFunction[Long, TaxiRide, TaxiRide]#OnTimerContext,
out: Collector[TaxiRide]): Unit = {
}
}
}