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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 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));
}
}