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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.basic.mapping;
import org.junit.Assert;
import org.junit.Test;
import org.apache.wayang.basic.data.Tuple2;
import org.apache.wayang.basic.function.ProjectionDescriptor;
import org.apache.wayang.basic.operators.GroupByOperator;
import org.apache.wayang.basic.operators.ReduceByOperator;
import org.apache.wayang.basic.operators.ReduceOperator;
import org.apache.wayang.basic.operators.test.TestSink;
import org.apache.wayang.basic.operators.test.TestSource;
import org.apache.wayang.core.function.ReduceDescriptor;
import org.apache.wayang.core.mapping.Mapping;
import org.apache.wayang.core.mapping.PlanTransformation;
import org.apache.wayang.core.plan.wayangplan.Operator;
import org.apache.wayang.core.plan.wayangplan.WayangPlan;
import org.apache.wayang.core.plan.wayangplan.UnarySink;
import org.apache.wayang.core.plan.wayangplan.UnarySource;
import org.apache.wayang.core.types.DataSetType;
import org.apache.wayang.core.types.DataUnitType;
/**
* Test suite for the {@link ReduceByMapping}.
*/
public class ReduceByMappingTest {
@Test
public void testMapping() {
// Construct a plan: source -> groupBy -> reduce -> sink.
UnarySource<Tuple2<String, Integer>> source = new TestSource<>(DataSetType.createDefault(Tuple2.class));
final ProjectionDescriptor<Tuple2<String, Integer>, String> keyDescriptor = new ProjectionDescriptor<>(
DataUnitType.createBasicUnchecked(Tuple2.class),
DataUnitType.createBasic(String.class),
"field0");
GroupByOperator<Tuple2<String, Integer>, String> groupBy = new GroupByOperator<>(
keyDescriptor,
DataSetType.createDefaultUnchecked(Tuple2.class),
DataSetType.createGroupedUnchecked(Tuple2.class)
);
source.connectTo(0, groupBy, 0);
final ReduceDescriptor<Tuple2<String, Integer>> reduceDescriptor = new ReduceDescriptor<>(
(a, b) -> a, DataUnitType.createGroupedUnchecked(Tuple2.class),
DataUnitType.createBasicUnchecked(Tuple2.class)
);
ReduceOperator<Tuple2<String, Integer>> reduce = ReduceOperator.createGroupedReduce(
reduceDescriptor,
DataSetType.createGroupedUnchecked(Tuple2.class),
DataSetType.createDefaultUnchecked(Tuple2.class)
);
groupBy.connectTo(0, reduce, 0);
UnarySink<Tuple2<String, Integer>> sink = new TestSink<>(DataSetType.createDefaultUnchecked(Tuple2.class));
reduce.connectTo(0, sink, 0);
WayangPlan plan = new WayangPlan();
plan.addSink(sink);
// Apply our mapping.
Mapping mapping = new ReduceByMapping();
for (PlanTransformation planTransformation : mapping.getTransformations()) {
planTransformation.thatReplaces().transform(plan, Operator.FIRST_EPOCH + 1);
}
// Check that now we have this plan: source -> reduceBy -> sink.
final Operator finalSink = plan.getSinks().iterator().next();
final Operator inputOperator = finalSink.getEffectiveOccupant(0).getOwner();
Assert.assertTrue(inputOperator instanceof ReduceByOperator);
ReduceByOperator reduceBy = (ReduceByOperator) inputOperator;
Assert.assertEquals(keyDescriptor, reduceBy.getKeyDescriptor());
Assert.assertEquals(reduceDescriptor, reduceBy.getReduceDescriptor());
Assert.assertEquals(source, reduceBy.getEffectiveOccupant(0).getOwner());
}
}