blob: 8d377d2b594bfa652cc33880345172db5381c557 [file] [log] [blame]
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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 org.apache.flink.training.exercises.ridesandfares.scala
import org.apache.flink.streaming.api.functions.co.RichCoFlatMapFunction
import org.apache.flink.streaming.api.scala.{StreamExecutionEnvironment, _}
import org.apache.flink.training.exercises.common.datatypes.{TaxiFare, TaxiRide}
import org.apache.flink.training.exercises.common.sources.{TaxiFareGenerator, 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 "Stateful Enrichment" exercise of the Flink training in the docs.
*
* The goal for this exercise is to enrich TaxiRides with fare information.
*
*/
object RidesAndFaresExercise {
def main(args: Array[String]) {
// set up streaming execution environment
val env = StreamExecutionEnvironment.getExecutionEnvironment
env.setParallelism(ExerciseBase.parallelism)
val rides = env
.addSource(rideSourceOrTest(new TaxiRideGenerator()))
.filter { ride => ride.isStart }
.keyBy { ride => ride.rideId }
val fares = env
.addSource(fareSourceOrTest(new TaxiFareGenerator()))
.keyBy { fare => fare.rideId }
val processed = rides
.connect(fares)
.flatMap(new EnrichmentFunction)
printOrTest(processed)
env.execute("Join Rides with Fares (scala RichCoFlatMap)")
}
class EnrichmentFunction extends RichCoFlatMapFunction[TaxiRide, TaxiFare, (TaxiRide, TaxiFare)] {
override def flatMap1(ride: TaxiRide, out: Collector[(TaxiRide, TaxiFare)]): Unit = {
throw new MissingSolutionException()
}
override def flatMap2(fare: TaxiFare, out: Collector[(TaxiRide, TaxiFare)]): Unit = {
}
}
}