hourly-tips/src/main/java/org/apache/flink/training/exercises/hourlytips/HourlyTipsExercise.java

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 * 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
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 * See the License for the specific language governing permissions and
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package org.apache.flink.training.exercises.hourlytips;

import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.streaming.api.TimeCharacteristic;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.training.exercises.common.datatypes.TaxiFare;
import org.apache.flink.training.exercises.common.sources.TaxiFareSource;
import org.apache.flink.training.exercises.common.utils.ExerciseBase;
import org.apache.flink.training.exercises.common.utils.MissingSolutionException;

/**
 * The "Hourly Tips" exercise of the Flink training in the docs.
 *
 * <p>The task of the exercise is to first calculate the total tips collected by each driver, hour by hour, and
 * then from that stream, find the highest tip total in each hour.
 *
 * <p>Parameters:
 * -input path-to-input-file
 */
public class HourlyTipsExercise extends ExerciseBase {

	/**
	 * Main method.
	 *
	 * <p>Parameters:
	 * -input path-to-input-file
	 *
	 * @throws Exception which occurs during job execution.
	 */
	public static void main(String[] args) throws Exception {

		// read parameters
		ParameterTool params = ParameterTool.fromArgs(args);
		final String input = params.get("input", ExerciseBase.PATH_TO_FARE_DATA);

		final int maxEventDelay = 60;       // events are out of order by max 60 seconds
		final int servingSpeedFactor = 600; // events of 10 minutes are served in 1 second

		// set up streaming execution environment
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.setParallelism(ExerciseBase.parallelism);

		// start the data generator
		DataStream<TaxiFare> fares = env.addSource(fareSourceOrTest(new TaxiFareSource(input, maxEventDelay, servingSpeedFactor)));

		throw new MissingSolutionException();

//		printOrTest(hourlyMax);

		// execute the transformation pipeline
//		env.execute("Hourly Tips (java)");
	}

}