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/*
* Copyright 2017 data Artisans GmbH
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.dataartisans.flinktraining.exercises.datastream_scala.process
import com.dataartisans.flinktraining.exercises.datastream_java.datatypes.TaxiRide
import com.dataartisans.flinktraining.exercises.datastream_java.sources.TaxiRideSource
import com.dataartisans.flinktraining.exercises.datastream_java.utils.ExerciseBase._
import com.dataartisans.flinktraining.exercises.datastream_java.utils.{ExerciseBase, MissingSolutionException}
import org.apache.flink.api.java.utils.ParameterTool
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.streaming.api.scala._
import org.apache.flink.util.Collector
/**
* The "Long Ride Alerts" exercise of the Flink training
* (http://training.data-artisans.com).
*
* 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.
*
* Parameters:
* -input path-to-input-file
*
*/
object LongRidesExercise {
def main(args: Array[String]) {
// parse parameters
val params = ParameterTool.fromArgs(args)
val input = params.get("input", ExerciseBase.pathToRideData)
val maxDelay = 60 // events are out of order by max 60 seconds
val speed = 1800 // events of 30 minutes are served every second
// set up the execution environment
val env = StreamExecutionEnvironment.getExecutionEnvironment
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
env.setParallelism(ExerciseBase.parallelism)
val rides = env.addSource(rideSourceOrTest(new TaxiRideSource(input, maxDelay, speed)))
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 = {
}
}
}