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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.flink.operators;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import org.apache.flink.api.java.DataSet;
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.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.ReflectionUtils;
import org.apache.wayang.core.util.Tuple;
import org.apache.wayang.flink.channels.DataSetChannel;
import org.apache.wayang.flink.execution.FlinkExecutor;
/**
* Flink implementation of the {@link CartesianOperator}.
*/
public class FlinkCartesianOperator<InputType0, InputType1>
extends CartesianOperator<InputType0, InputType1>
implements FlinkExecutionOperator {
/**
* Creates a new instance.
*/
public FlinkCartesianOperator(DataSetType<InputType0> inputType0, DataSetType<InputType1> inputType1) {
super(inputType0, inputType1);
}
/**
* Copies an instance (exclusive of broadcasts).
*
* @param that that should be copied
*/
public FlinkCartesianOperator(CartesianOperator<InputType0, InputType1> that) {
super(that);
}
@Override
public Tuple<Collection<ExecutionLineageNode>, Collection<ChannelInstance>> evaluate(
ChannelInstance[] inputs,
ChannelInstance[] outputs,
FlinkExecutor flinkExecutor,
OptimizationContext.OperatorContext operatorContext) {
assert inputs.length == this.getNumInputs();
assert outputs.length == this.getNumOutputs();
final DataSetChannel.Instance input0 = (DataSetChannel.Instance) inputs[0];
final DataSetChannel.Instance input1 = (DataSetChannel.Instance) inputs[1];
final DataSetChannel.Instance output = (DataSetChannel.Instance) outputs[0];
final DataSet<InputType0> dataSetInput0 = input0.provideDataSet();
final DataSet<InputType1> dataSetInput1 = input1.provideDataSet();
final DataSet<Tuple2<InputType0, InputType1>> datasetOutput = dataSetInput0.cross(dataSetInput1).with(
(dataInput0, dataInput1) -> {
return new Tuple2<>(dataInput0, dataInput1);
}
).returns(ReflectionUtils.specify(Tuple2.class));
output.accept(datasetOutput, flinkExecutor);
return ExecutionOperator.modelLazyExecution(inputs, outputs, operatorContext);
}
@Override
protected ExecutionOperator createCopy() {
return new FlinkCartesianOperator<>(this.getInputType0(), this.getInputType1());
}
@Override
public String getLoadProfileEstimatorConfigurationKey() {
return "wayang.flink.cartesian.load";
}
@Override
public List<ChannelDescriptor> getSupportedInputChannels(int index) {
assert index <= this.getNumInputs() || (index == 0 && this.getNumInputs() == 0);
return Arrays.asList(DataSetChannel.DESCRIPTOR, DataSetChannel.DESCRIPTOR_MANY);
}
@Override
public List<ChannelDescriptor> getSupportedOutputChannels(int index) {
assert index <= this.getNumOutputs() || (index == 0 && this.getNumOutputs() == 0);
return Collections.singletonList(DataSetChannel.DESCRIPTOR);
}
@Override
public boolean containsAction() {
return false;
}
}