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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.iejoin.operators;
import org.apache.wayang.core.function.TransformationDescriptor;
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.Tuple;
import org.apache.wayang.iejoin.data.Data;
import org.apache.wayang.iejoin.operators.java_helpers.BitSetJoin;
import org.apache.wayang.iejoin.operators.java_helpers.DataComparator;
import org.apache.wayang.iejoin.operators.java_helpers.extractData;
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 org.apache.wayang.java.operators.JavaExecutionOperator;
import scala.Tuple2;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
/**
* Java implementation of the {@link IESelfJoinOperator}.
*/
public class JavaIESelfJoinOperator<Type0 extends Comparable<Type0>, Type1 extends Comparable<Type1>, Input>
extends IESelfJoinOperator<Type0, Type1, Input>
implements JavaExecutionOperator {
/**
* Creates a new instance.
*/
public JavaIESelfJoinOperator(DataSetType<Input> inputType0,
TransformationDescriptor<Input, Type0> get0Pivot, IEJoinMasterOperator.JoinCondition cond0,
TransformationDescriptor<Input, Type1> get0Ref, IEJoinMasterOperator.JoinCondition cond1) {
super(inputType0, get0Pivot, cond0, get0Ref, cond1);
}
@Override
public Tuple<Collection<ExecutionLineageNode>, Collection<ChannelInstance>> evaluate(
ChannelInstance[] inputs,
ChannelInstance[] outputs,
JavaExecutor javaExecutor,
OptimizationContext.OperatorContext operatorContext) {
StreamChannel.Instance outputChannel = (StreamChannel.Instance) outputs[0];
Stream<Input> stream0;
if (inputs[0] instanceof CollectionChannel.Instance) {
final Collection<Input> collection = ((CollectionChannel.Instance) inputs[0]).provideCollection();
stream0 = collection.stream();
} else {
// Fallback: Materialize one side.
final Collection<Input> collection = ((JavaChannelInstance) inputs[0]).<Input>provideStream().collect(Collectors.toList());
stream0 = collection.stream();
}
Object[] stream0R = stream0.toArray();
ArrayList<Tuple2<Data<Type0, Type1>, Input>> list0 = new ArrayList<>();
final Function<Input, Type0> get0Pivot_ = javaExecutor.getCompiler().compile(this.get0Pivot);
final Function<Input, Type1> get0Ref_ = javaExecutor.getCompiler().compile(this.get0Ref);
for (int i = 0; i < stream0R.length; i++) {
list0.add(new Tuple2<>(new extractData<>(get0Pivot_, get0Ref_).call((Input) stream0R[i]), (Input) stream0R[i]));
}
Collections.sort(list0, new DataComparator<>(list1ASC, list1ASCSec));
long partCount = list0.size();
// Give unique ID for rdd1
for (int i = 0; i < partCount; i++) {
list0.get(i)._1().setRowID(i);
}
ArrayList<Tuple2<Input, Input>> result = new BitSetJoin<Type0, Type1, Input>(list1ASC, list2ASC,
list1ASCSec, list2ASCSec, equalReverse, true, cond0).call(list0, list0);
ArrayList<org.apache.wayang.basic.data.Tuple2<Input, Input>> result2 = new ArrayList<>();
for (Tuple2<Input, Input> t : result) {
result2.add(new org.apache.wayang.basic.data.Tuple2<Input, Input>(t._1(), t._2()));
}
outputChannel.<org.apache.wayang.basic.data.Tuple2<Input, Input>>accept(result2.stream());
return ExecutionOperator.modelEagerExecution(inputs, outputs, operatorContext);
}
@Override
protected ExecutionOperator createCopy() {
return new JavaIESelfJoinOperator<Type0, Type1, Input>(this.getInputType(),
get0Pivot, cond0, get0Ref, cond1);
}
@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);
}
}