| /* |
| * 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.hourlytips; |
| |
| import org.apache.flink.api.common.JobExecutionResult; |
| import org.apache.flink.api.java.tuple.Tuple3; |
| import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration; |
| import org.apache.flink.streaming.api.functions.source.SourceFunction; |
| import org.apache.flink.test.util.MiniClusterWithClientResource; |
| import org.apache.flink.training.exercises.common.datatypes.TaxiFare; |
| import org.apache.flink.training.exercises.common.utils.DataGenerator; |
| import org.apache.flink.training.exercises.testing.ComposedPipeline; |
| import org.apache.flink.training.exercises.testing.ExecutablePipeline; |
| import org.apache.flink.training.exercises.testing.ParallelTestSource; |
| import org.apache.flink.training.exercises.testing.TestSink; |
| import org.apache.flink.training.solutions.hourlytips.HourlyTipsSolution; |
| |
| import org.junit.ClassRule; |
| import org.junit.Test; |
| |
| import java.time.Duration; |
| import java.time.Instant; |
| import java.util.List; |
| |
| import static org.assertj.core.api.AssertionsForInterfaceTypes.assertThat; |
| |
| public class HourlyTipsTest { |
| |
| private static final int PARALLELISM = 2; |
| |
| /** This isn't necessary, but speeds up the tests. */ |
| @ClassRule |
| public static MiniClusterWithClientResource flinkCluster = |
| new MiniClusterWithClientResource( |
| new MiniClusterResourceConfiguration.Builder() |
| .setNumberSlotsPerTaskManager(PARALLELISM) |
| .setNumberTaskManagers(1) |
| .build()); |
| |
| @Test |
| public void testOneDriverOneTip() throws Exception { |
| |
| TaxiFare one = testFare(1, t(0), 1.0F); |
| |
| ParallelTestSource<TaxiFare> source = new ParallelTestSource<>(one); |
| |
| Tuple3<Long, Long, Float> expected = Tuple3.of(t(60).toEpochMilli(), 1L, 1.0F); |
| |
| assertThat(results(source)).containsExactly(expected); |
| } |
| |
| @Test |
| public void testTipsAreSummedByHour() throws Exception { |
| TaxiFare oneIn1 = testFare(1, t(0), 1.0F); |
| TaxiFare fiveIn1 = testFare(1, t(15), 5.0F); |
| TaxiFare tenIn2 = testFare(1, t(90), 10.0F); |
| |
| ParallelTestSource<TaxiFare> source = new ParallelTestSource<>(oneIn1, fiveIn1, tenIn2); |
| |
| Tuple3<Long, Long, Float> hour1 = Tuple3.of(t(60).toEpochMilli(), 1L, 6.0F); |
| Tuple3<Long, Long, Float> hour2 = Tuple3.of(t(120).toEpochMilli(), 1L, 10.0F); |
| |
| assertThat(results(source)).containsExactlyInAnyOrder(hour1, hour2); |
| } |
| |
| @Test |
| public void testMaxAcrossDrivers() throws Exception { |
| TaxiFare oneFor1In1 = testFare(1, t(0), 1.0F); |
| TaxiFare fiveFor1In1 = testFare(1, t(15), 5.0F); |
| TaxiFare tenFor1In2 = testFare(1, t(90), 10.0F); |
| TaxiFare twentyFor2In2 = testFare(2, t(90), 20.0F); |
| TaxiFare zeroFor3In2 = testFare(3, t(70), 0.0F); |
| TaxiFare zeroFor4In2 = testFare(4, t(70), 0.0F); |
| TaxiFare oneFor4In2 = testFare(4, t(80), 1.0F); |
| TaxiFare tenFor5In2 = testFare(5, t(100), 10.0F); |
| |
| ParallelTestSource<TaxiFare> source = |
| new ParallelTestSource<>( |
| oneFor1In1, |
| fiveFor1In1, |
| tenFor1In2, |
| twentyFor2In2, |
| zeroFor3In2, |
| zeroFor4In2, |
| oneFor4In2, |
| tenFor5In2); |
| |
| Tuple3<Long, Long, Float> hour1 = Tuple3.of(t(60).toEpochMilli(), 1L, 6.0F); |
| Tuple3<Long, Long, Float> hour2 = Tuple3.of(t(120).toEpochMilli(), 2L, 20.0F); |
| |
| assertThat(results(source)).containsExactlyInAnyOrder(hour1, hour2); |
| } |
| |
| public Instant t(int minutes) { |
| return DataGenerator.BEGINNING.plus(Duration.ofMinutes(minutes)); |
| } |
| |
| private TaxiFare testFare(long driverId, Instant startTime, float tip) { |
| return new TaxiFare(0, 0, driverId, startTime, "", tip, 0F, 0F); |
| } |
| |
| private ComposedPipeline<TaxiFare, Tuple3<Long, Long, Float>> hourlyTipsPipeline() { |
| |
| ExecutablePipeline<TaxiFare, Tuple3<Long, Long, Float>> exercise = |
| (source, sink) -> new HourlyTipsExercise(source, sink).execute(); |
| |
| ExecutablePipeline<TaxiFare, Tuple3<Long, Long, Float>> solution = |
| (source, sink) -> new HourlyTipsSolution(source, sink).execute(); |
| |
| return new ComposedPipeline<>(exercise, solution); |
| } |
| |
| protected List<Tuple3<Long, Long, Float>> results(SourceFunction<TaxiFare> source) |
| throws Exception { |
| |
| TestSink<Tuple3<Long, Long, Float>> sink = new TestSink<>(); |
| JobExecutionResult jobResult = hourlyTipsPipeline().execute(source, sink); |
| return sink.getResults(jobResult); |
| } |
| } |