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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.java.operators;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.function.Function;
import java.util.stream.Stream;
import org.apache.wayang.basic.data.Tuple2;
import org.apache.wayang.basic.operators.JoinOperator;
import org.apache.wayang.core.api.Configuration;
import org.apache.wayang.core.function.TransformationDescriptor;
import org.apache.wayang.core.optimizer.OptimizationContext;
import org.apache.wayang.core.optimizer.cardinality.CardinalityEstimate;
import org.apache.wayang.core.optimizer.costs.LoadProfileEstimator;
import org.apache.wayang.core.optimizer.costs.LoadProfileEstimators;
import org.apache.wayang.core.plan.wayangplan.ExecutionOperator;
import org.apache.wayang.core.platform.ChannelDescriptor;
import org.apache.wayang.core.platform.ChannelInstance;
import org.apache.wayang.core.platform.lineage.ExecutionLineageNode;
import org.apache.wayang.core.types.DataSetType;
import org.apache.wayang.core.util.Tuple;
import org.apache.wayang.java.channels.CollectionChannel;
import org.apache.wayang.java.channels.JavaChannelInstance;
import org.apache.wayang.java.channels.StreamChannel;
import org.apache.wayang.java.execution.JavaExecutor;
/**
* Java implementation of the {@link JoinOperator}.
*/
public class JavaJoinOperator<InputType0, InputType1, KeyType>
extends JoinOperator<InputType0, InputType1, KeyType>
implements JavaExecutionOperator {
/**
* Creates a new instance.
*/
public JavaJoinOperator(DataSetType<InputType0> inputType0,
DataSetType<InputType1> inputType1,
TransformationDescriptor<InputType0, KeyType> keyDescriptor0,
TransformationDescriptor<InputType1, KeyType> keyDescriptor1) {
super(keyDescriptor0, keyDescriptor1, inputType0, inputType1);
}
/**
* Copies an instance (exclusive of broadcasts).
*
* @param that that should be copied
*/
public JavaJoinOperator(JoinOperator<InputType0, InputType1, KeyType> that) {
super(that);
}
@Override
public Tuple<Collection<ExecutionLineageNode>, Collection<ChannelInstance>> evaluate(
ChannelInstance[] inputs,
ChannelInstance[] outputs,
JavaExecutor javaExecutor,
OptimizationContext.OperatorContext operatorContext) {
assert inputs.length == this.getNumInputs();
assert outputs.length == this.getNumOutputs();
final Function<InputType0, KeyType> keyExtractor0 = javaExecutor.getCompiler().compile(this.keyDescriptor0);
final Function<InputType1, KeyType> keyExtractor1 = javaExecutor.getCompiler().compile(this.keyDescriptor1);
final CardinalityEstimate cardinalityEstimate0 = operatorContext.getInputCardinality(0);
final CardinalityEstimate cardinalityEstimate1 = operatorContext.getInputCardinality(1);
ExecutionLineageNode indexingExecutionLineageNode = new ExecutionLineageNode(operatorContext);
indexingExecutionLineageNode.add(LoadProfileEstimators.createFromSpecification(
"wayang.java.join.load.indexing", javaExecutor.getConfiguration()
));
ExecutionLineageNode probingExecutionLineageNode = new ExecutionLineageNode(operatorContext);
probingExecutionLineageNode.add(LoadProfileEstimators.createFromSpecification(
"wayang.java.join.load.probing", javaExecutor.getConfiguration()
));
final Stream<Tuple2<InputType0, InputType1>> joinStream;
Collection<ExecutionLineageNode> executionLineageNodes = new LinkedList<>();
Collection<ChannelInstance> producedChannelInstances = new LinkedList<>();
boolean isMaterialize0 = cardinalityEstimate0 != null &&
cardinalityEstimate1 != null &&
cardinalityEstimate0.getGeometricMeanEstimate() <= cardinalityEstimate1.getGeometricMeanEstimate();
if (isMaterialize0) {
final int expectedNumElements =
(int) cardinalityEstimate0.getGeometricMeanEstimate();
Map<KeyType, Collection<InputType0>> probeTable = new HashMap<>(expectedNumElements);
((JavaChannelInstance) inputs[0]).<InputType0>provideStream().forEach(dataQuantum0 ->
probeTable.compute(keyExtractor0.apply(dataQuantum0),
(key, value) -> {
value = value == null ? new LinkedList<>() : value;
value.add(dataQuantum0);
return value;
}
)
);
joinStream = ((JavaChannelInstance) inputs[1]).<InputType1>provideStream().flatMap(dataQuantum1 ->
probeTable.getOrDefault(keyExtractor1.apply(dataQuantum1), Collections.emptyList()).stream()
.map(dataQuantum0 -> new Tuple2<>(dataQuantum0, dataQuantum1)));
indexingExecutionLineageNode.addPredecessor(inputs[0].getLineage());
indexingExecutionLineageNode.collectAndMark(executionLineageNodes, producedChannelInstances);
probingExecutionLineageNode.addPredecessor(inputs[1].getLineage());
} else {
final int expectedNumElements = cardinalityEstimate1 == null ?
1000 :
(int) cardinalityEstimate1.getGeometricMeanEstimate();
Map<KeyType, Collection<InputType1>> probeTable = new HashMap<>(expectedNumElements);
((JavaChannelInstance) inputs[1]).<InputType1>provideStream().forEach(dataQuantum1 ->
probeTable.compute(keyExtractor1.apply(dataQuantum1),
(key, value) -> {
value = value == null ? new LinkedList<>() : value;
value.add(dataQuantum1);
return value;
}
)
);
joinStream = ((JavaChannelInstance) inputs[0]).<InputType0>provideStream().flatMap(dataQuantum0 ->
probeTable.getOrDefault(keyExtractor0.apply(dataQuantum0), Collections.emptyList()).stream()
.map(dataQuantum1 -> new Tuple2<>(dataQuantum0, dataQuantum1)));
indexingExecutionLineageNode.addPredecessor(inputs[1].getLineage());
indexingExecutionLineageNode.collectAndMark(executionLineageNodes, producedChannelInstances);
probingExecutionLineageNode.addPredecessor(inputs[0].getLineage());
}
((StreamChannel.Instance) outputs[0]).accept(joinStream);
outputs[0].getLineage().addPredecessor(probingExecutionLineageNode);
return new Tuple<>(executionLineageNodes, producedChannelInstances);
}
@Override
public Collection<String> getLoadProfileEstimatorConfigurationKeys() {
return Arrays.asList("wayang.java.join.load.indexing", "wayang.java.join.load.probing");
}
@Override
public Optional<LoadProfileEstimator> createLoadProfileEstimator(Configuration configuration) {
final Optional<LoadProfileEstimator> optEstimator =
JavaExecutionOperator.super.createLoadProfileEstimator(configuration);
LoadProfileEstimators.nestUdfEstimator(optEstimator, this.keyDescriptor0, configuration);
LoadProfileEstimators.nestUdfEstimator(optEstimator, this.keyDescriptor1, configuration);
return optEstimator;
}
@Override
protected ExecutionOperator createCopy() {
return new JavaJoinOperator<>(this.getInputType0(), this.getInputType1(),
this.getKeyDescriptor0(), this.getKeyDescriptor1());
}
@Override
public List<ChannelDescriptor> getSupportedInputChannels(int index) {
assert index <= this.getNumInputs() || (index == 0 && this.getNumInputs() == 0);
return Arrays.asList(CollectionChannel.DESCRIPTOR, StreamChannel.DESCRIPTOR);
}
@Override
public List<ChannelDescriptor> getSupportedOutputChannels(int index) {
assert index <= this.getNumOutputs() || (index == 0 && this.getNumOutputs() == 0);
return Collections.singletonList(StreamChannel.DESCRIPTOR);
}
}