| /* |
| * 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.wayang.spark.operators; |
| |
| import java.util.ArrayList; |
| import java.util.Arrays; |
| import java.util.Collection; |
| import java.util.Collections; |
| import java.util.Iterator; |
| import java.util.List; |
| import org.apache.wayang.basic.data.Tuple2; |
| import org.apache.wayang.basic.function.ProjectionDescriptor; |
| import org.apache.wayang.core.platform.ChannelInstance; |
| import org.apache.wayang.core.types.DataSetType; |
| import org.apache.wayang.core.types.DataUnitType; |
| import org.apache.wayang.core.util.Tuple; |
| import org.apache.wayang.core.util.WayangCollections; |
| import org.apache.wayang.spark.channels.RddChannel; |
| import org.junit.Assert; |
| import org.junit.Test; |
| |
| /** |
| * Test suite for {@link SparkJoinOperator}. |
| */ |
| public class SparkCoGroupOperatorTest extends SparkOperatorTestBase { |
| |
| @Test |
| public void testExecution() { |
| // Prepare test data. |
| RddChannel.Instance input0 = this.createRddChannelInstance(Arrays.asList( |
| new Tuple2<>(1, "b"), new Tuple2<>(1, "c"), new Tuple2<>(2, "d"), new Tuple2<>(3, "e"))); |
| RddChannel.Instance input1 = this.createRddChannelInstance(Arrays.asList( |
| new Tuple2<>("x", 1), new Tuple2<>("y", 1), new Tuple2<>("z", 2), new Tuple2<>("w", 4))); |
| RddChannel.Instance output = this.createRddChannelInstance(); |
| |
| // Build the operator. |
| SparkCoGroupOperator<Tuple2, Tuple2, Integer> coGroup = |
| new SparkCoGroupOperator<>( |
| new ProjectionDescriptor<>( |
| DataUnitType.createBasicUnchecked(Tuple2.class), |
| DataUnitType.createBasic(Integer.class), |
| "field0"), |
| new ProjectionDescriptor<>( |
| DataUnitType.createBasicUnchecked(Tuple2.class), |
| DataUnitType.createBasic(Integer.class), |
| "field1"), |
| DataSetType.createDefaultUnchecked(Tuple2.class), |
| DataSetType.createDefaultUnchecked(Tuple2.class) |
| ); |
| |
| // Set up the ChannelInstances. |
| final ChannelInstance[] inputs = new ChannelInstance[]{input0, input1}; |
| final ChannelInstance[] outputs = new ChannelInstance[]{output}; |
| |
| // Execute. |
| this.evaluate(coGroup, inputs, outputs); |
| |
| // Verify the outcome. |
| final List<Tuple2<Iterable<Tuple2<Integer, String>>, Iterable<Tuple2<String, Integer>>>> result = |
| output.<Tuple2<Iterable<Tuple2<Integer, String>>, Iterable<Tuple2<String, Integer>>>>provideRdd().collect(); |
| Collection<Tuple<Collection<Tuple2<Integer, String>>, Collection<Tuple2<String, Integer>>>> expectedGroups = |
| new ArrayList<>(Arrays.asList( |
| new Tuple<Collection<Tuple2<Integer, String>>, Collection<Tuple2<String, Integer>>>( |
| Arrays.asList(new Tuple2<>(1, "b"), new Tuple2<>(1, "c")), |
| Arrays.asList(new Tuple2<>("x", 1), new Tuple2<>("y", 1)) |
| ), |
| new Tuple<Collection<Tuple2<Integer, String>>, Collection<Tuple2<String, Integer>>>( |
| Collections.singletonList(new Tuple2<>(2, "d")), |
| Collections.singletonList(new Tuple2<>("z", 2)) |
| ), new Tuple<Collection<Tuple2<Integer, String>>, Collection<Tuple2<String, Integer>>>( |
| Collections.singletonList(new Tuple2<>(3, "e")), |
| Collections.emptyList() |
| ), |
| new Tuple<Collection<Tuple2<Integer, String>>, Collection<Tuple2<String, Integer>>>( |
| Collections.emptyList(), |
| Collections.singletonList(new Tuple2<>("w", 4)) |
| ) |
| )); |
| |
| ResultLoop: |
| for (Tuple2<Iterable<Tuple2<Integer, String>>, Iterable<Tuple2<String, Integer>>> resultCoGroup : result) { |
| for (Iterator<Tuple<Collection<Tuple2<Integer, String>>, Collection<Tuple2<String, Integer>>>> i = expectedGroups.iterator(); |
| i.hasNext(); ) { |
| Tuple<Collection<Tuple2<Integer, String>>, Collection<Tuple2<String, Integer>>> expectedGroup = i.next(); |
| if (this.compare(expectedGroup, resultCoGroup)) { |
| i.remove(); |
| continue ResultLoop; |
| } |
| } |
| Assert.fail(String.format("Unexpected group: %s", resultCoGroup)); |
| } |
| Assert.assertTrue( |
| String.format("Missing groups: %s", expectedGroups), |
| expectedGroups.isEmpty() |
| ); |
| } |
| |
| private boolean compare(Tuple<Collection<Tuple2<Integer, String>>, Collection<Tuple2<String, Integer>>> expected, |
| Tuple2<Iterable<Tuple2<Integer, String>>, Iterable<Tuple2<String, Integer>>> actual) { |
| return this.compareGroup(expected.field0, actual.field0) && this.compareGroup(expected.field1, actual.field1); |
| } |
| |
| private <T> boolean compareGroup(Collection<T> expected, Iterable<T> actual) { |
| if (expected == null) return actual == null; |
| if (actual == null) return false; |
| |
| return WayangCollections.asSet(expected).equals(WayangCollections.asSet(actual)); |
| } |
| |
| } |