| /* |
| * 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 org.junit.Assert; |
| import org.junit.Ignore; |
| import org.junit.Test; |
| import org.apache.wayang.basic.data.Tuple2; |
| import org.apache.wayang.core.function.ReduceDescriptor; |
| 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.WayangCollections; |
| import org.apache.wayang.java.channels.CollectionChannel; |
| import org.apache.wayang.spark.channels.RddChannel; |
| |
| import java.util.Arrays; |
| import java.util.Collections; |
| import java.util.List; |
| |
| /** |
| * Test suite for {@link SparkGlobalReduceOperator}. |
| */ |
| public class SparkGlobalReduceOperatorTest extends SparkOperatorTestBase { |
| |
| @Test |
| public void testExecution() { |
| // Prepare test data. |
| RddChannel.Instance input = this.createRddChannelInstance(Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)); |
| CollectionChannel.Instance output = this.createCollectionChannelInstance(); |
| |
| // Build the reduce operator. |
| SparkGlobalReduceOperator<Integer> globalReduce = |
| new SparkGlobalReduceOperator<>( |
| DataSetType.createDefaultUnchecked(Tuple2.class), |
| new ReduceDescriptor<>( |
| (a, b) -> a + b, DataUnitType.createGrouped(Integer.class), |
| DataUnitType.createBasic(Integer.class) |
| ) |
| ); |
| |
| // Set up the ChannelInstances. |
| final ChannelInstance[] inputs = new ChannelInstance[]{input}; |
| final ChannelInstance[] outputs = new ChannelInstance[]{output}; |
| |
| // Execute. |
| this.evaluate(globalReduce, inputs, outputs); |
| |
| // Verify the outcome. |
| final List<Integer> result = WayangCollections.asList(output.provideCollection()); |
| Assert.assertEquals(1, result.size()); |
| Assert.assertEquals(Integer.valueOf((10 + 1) * (10 / 2)), result.get(0)); // Props to Gauss! |
| |
| } |
| |
| @Ignore("Spark cannot reduce empty collections.") |
| @Test |
| public void testExecutionWithoutData() { |
| // Prepare test data. |
| RddChannel.Instance input = this.createRddChannelInstance(Collections.emptyList()); |
| CollectionChannel.Instance output = this.createCollectionChannelInstance(); |
| |
| // Build the reduce operator. |
| SparkGlobalReduceOperator<Integer> globalReduce = |
| new SparkGlobalReduceOperator<>( |
| DataSetType.createDefaultUnchecked(Tuple2.class), |
| new ReduceDescriptor<>( |
| (a, b) -> a + b, DataUnitType.createGrouped(Integer.class), |
| DataUnitType.createBasic(Integer.class) |
| ) |
| ); |
| |
| // Set up the ChannelInstances. |
| final ChannelInstance[] inputs = new ChannelInstance[]{input}; |
| final ChannelInstance[] outputs = new ChannelInstance[]{output}; |
| |
| // Execute. |
| this.evaluate(globalReduce, inputs, outputs); |
| |
| // Verify the outcome. |
| final List<Integer> result = WayangCollections.asList(output.provideCollection()); |
| Assert.assertEquals(1, result.size()); |
| Assert.assertEquals(Integer.valueOf(0), result.get(0)); |
| |
| } |
| } |