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/*
* 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));
}
}