| /* |
| * 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.solutions.ridecleansing; |
| |
| import org.apache.flink.api.common.functions.FilterFunction; |
| import org.apache.flink.streaming.api.datastream.DataStream; |
| import org.apache.flink.streaming.api.environment.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.GeoUtils; |
| |
| /** |
| * Solution to the "Ride Cleansing" exercise of the Flink training in the docs. |
| * |
| * <p>The task of the exercise is to filter a data stream of taxi ride records to keep only rides |
| * that start and end within New York City. The resulting stream should be printed. |
| */ |
| public class RideCleansingSolution extends ExerciseBase { |
| |
| /** |
| * Main method. |
| * |
| * @throws Exception which occurs during job execution. |
| */ |
| public static void main(String[] args) throws Exception { |
| |
| // set up streaming execution environment |
| StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); |
| env.setParallelism(ExerciseBase.parallelism); |
| |
| // start the data generator |
| DataStream<TaxiRide> rides = env.addSource(rideSourceOrTest(new TaxiRideGenerator())); |
| |
| DataStream<TaxiRide> filteredRides = |
| rides |
| // keep only those rides and both start and end in NYC |
| .filter(new NYCFilter()); |
| |
| // print the filtered stream |
| printOrTest(filteredRides); |
| |
| // run the cleansing pipeline |
| env.execute("Taxi Ride Cleansing"); |
| } |
| |
| public static class NYCFilter implements FilterFunction<TaxiRide> { |
| @Override |
| public boolean filter(TaxiRide taxiRide) { |
| return GeoUtils.isInNYC(taxiRide.startLon, taxiRide.startLat) |
| && GeoUtils.isInNYC(taxiRide.endLon, taxiRide.endLat); |
| } |
| } |
| } |