| /* |
| * 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 org.apache.wayang.basic.data.Tuple2; |
| import org.apache.wayang.basic.operators.CartesianOperator; |
| import org.apache.wayang.core.optimizer.OptimizationContext; |
| 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; |
| |
| import java.util.Arrays; |
| import java.util.Collection; |
| import java.util.Collections; |
| import java.util.LinkedList; |
| import java.util.List; |
| import java.util.stream.Collectors; |
| import java.util.stream.Stream; |
| |
| /** |
| * Java implementation of the {@link CartesianOperator}. |
| */ |
| public class JavaCartesianOperator<InputType0, InputType1> |
| extends CartesianOperator<InputType0, InputType1> |
| implements JavaExecutionOperator { |
| |
| /** |
| * Creates a new instance. |
| */ |
| public JavaCartesianOperator(DataSetType<InputType0> inputType0, DataSetType<InputType1> inputType1) { |
| super(inputType0, inputType1); |
| } |
| |
| /** |
| * Copies an instance (exclusive of broadcasts). |
| * |
| * @param that that should be copied |
| */ |
| public JavaCartesianOperator(CartesianOperator<InputType0, InputType1> that) { |
| super(that); |
| } |
| |
| @Override |
| @SuppressWarnings("unchecked") |
| public Tuple<Collection<ExecutionLineageNode>, Collection<ChannelInstance>> evaluate( |
| ChannelInstance[] inputs, |
| ChannelInstance[] outputs, |
| JavaExecutor javaExecutor, |
| OptimizationContext.OperatorContext operatorContext) { |
| if (inputs.length != 2) { |
| throw new IllegalArgumentException("Cannot evaluate: Illegal number of input streams."); |
| } |
| |
| Collection<ExecutionLineageNode> executionLineageNodes = new LinkedList<>(); |
| Collection<ChannelInstance> producedChannelInstances = new LinkedList<>(); |
| ExecutionLineageNode probingExecutionLineageNode = new ExecutionLineageNode(operatorContext); |
| probingExecutionLineageNode.add(LoadProfileEstimators.createFromSpecification( |
| "wayang.java.cartesian.load.probing", javaExecutor.getConfiguration() |
| )); |
| ExecutionLineageNode indexingExecutionLineageNode = new ExecutionLineageNode(operatorContext); |
| indexingExecutionLineageNode.add(LoadProfileEstimators.createFromSpecification( |
| "wayang.java.cartesian.load.indexing", javaExecutor.getConfiguration() |
| )); |
| |
| StreamChannel.Instance output = (StreamChannel.Instance) outputs[0]; |
| ChannelInstance materializedInput, probingInput; |
| if (inputs[0] instanceof CollectionChannel.Instance) { |
| final Collection<InputType0> collection = ((CollectionChannel.Instance) inputs[0]).provideCollection(); |
| final Stream<InputType1> stream = ((JavaChannelInstance) inputs[1]).provideStream(); |
| output.<Tuple2<InputType0, InputType1>>accept( |
| stream.flatMap(e1 -> collection.stream().map( |
| e0 -> new Tuple2<>(e0, e1) |
| )) |
| ); |
| materializedInput = inputs[0]; |
| probingInput = inputs[1]; |
| probingExecutionLineageNode.addPredecessor(materializedInput.getLineage()); |
| |
| } else if (inputs[1] instanceof CollectionChannel.Instance) { |
| final Stream<InputType0> stream = ((JavaChannelInstance) inputs[0]).provideStream(); |
| final Collection<InputType1> collection = ((CollectionChannel.Instance) inputs[1]).provideCollection(); |
| output.<Tuple2<InputType0, InputType1>>accept( |
| stream.flatMap(e0 -> collection.stream().map( |
| e1 -> new Tuple2<>(e0, e1) |
| )) |
| ); |
| materializedInput = inputs[1]; |
| probingInput = inputs[0]; |
| probingExecutionLineageNode.addPredecessor(materializedInput.getLineage()); |
| |
| } else if (operatorContext.getInputCardinality(0).getGeometricMeanEstimate() <= operatorContext.getInputCardinality(1).getGeometricMeanEstimate()) { |
| // Fallback: Materialize one side. |
| final Collection<InputType0> collection = (Collection<InputType0>) ((JavaChannelInstance) inputs[0]).provideStream().collect(Collectors.toList()); |
| final Stream<InputType1> stream = ((JavaChannelInstance) inputs[1]).provideStream(); |
| output.<Tuple2<InputType0, InputType1>>accept( |
| stream.flatMap(e1 -> collection.stream().map( |
| e0 -> new Tuple2<>(e0, e1) |
| )) |
| ); |
| materializedInput = inputs[0]; |
| probingInput = inputs[1]; |
| indexingExecutionLineageNode.addPredecessor(materializedInput.getLineage()); |
| indexingExecutionLineageNode.collectAndMark(executionLineageNodes, producedChannelInstances); |
| |
| } else { |
| final Collection<InputType1> collection = (Collection<InputType1>) ((JavaChannelInstance) inputs[1]).provideStream().collect(Collectors.toList()); |
| final Stream<InputType0> stream = ((JavaChannelInstance) inputs[0]).provideStream(); |
| output.<Tuple2<InputType0, InputType1>>accept( |
| stream.flatMap(e0 -> collection.stream().map( |
| e1 -> new Tuple2<>(e0, e1) |
| )) |
| ); |
| materializedInput = inputs[1]; |
| probingInput = inputs[0]; |
| indexingExecutionLineageNode.addPredecessor(materializedInput.getLineage()); |
| indexingExecutionLineageNode.collectAndMark(executionLineageNodes, producedChannelInstances); |
| } |
| |
| probingExecutionLineageNode.addPredecessor(probingInput.getLineage()); |
| output.getLineage().addPredecessor(probingExecutionLineageNode); |
| return new Tuple<>(executionLineageNodes, producedChannelInstances); |
| } |
| |
| @Override |
| public Collection<String> getLoadProfileEstimatorConfigurationKeys() { |
| return Arrays.asList("wayang.java.cartesian.load.indexing", "wayang.java.cartesian.load.probing"); |
| } |
| |
| @Override |
| protected ExecutionOperator createCopy() { |
| return new JavaCartesianOperator<>(this.getInputType0(), this.getInputType1()); |
| } |
| |
| @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); |
| } |
| |
| } |