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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 org.apache.wayang.basic.operators.SampleOperator;
import org.apache.wayang.core.function.FunctionDescriptor;
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.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.BitSet;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import java.util.Random;
import java.util.function.IntUnaryOperator;
import java.util.function.LongUnaryOperator;
import java.util.function.Predicate;
/**
* Java implementation of the {@link JavaRandomSampleOperator}. This sampling method is with replacement (i.e., duplicates may appear in the sample).
*/
public class JavaRandomSampleOperator<Type>
extends SampleOperator<Type>
implements JavaExecutionOperator {
private Random rand;
/**
* Creates a new instance.
*
* @param sampleSizeFunction udf-based size of sample
*/
public JavaRandomSampleOperator(FunctionDescriptor.SerializableIntUnaryOperator sampleSizeFunction, DataSetType<Type> type, FunctionDescriptor.SerializableLongUnaryOperator seedFunction) {
super(sampleSizeFunction, type, Methods.RANDOM, seedFunction);
}
/**
* Copies an instance (exclusive of broadcasts).
*
* @param that that should be copied
*/
public JavaRandomSampleOperator(SampleOperator<Type> that) {
super(that);
}
@Override
@SuppressWarnings("unchecked")
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();
Integer sampleSize = (Integer) this.getSampleSize(operatorContext);
Long datasetSize = this.isDataSetSizeKnown() ? this.getDatasetSize() :
((CollectionChannel.Instance) inputs[0]).provideCollection().size();
if (sampleSize >= datasetSize) { //return all
((StreamChannel.Instance) outputs[0]).accept(((JavaChannelInstance) inputs[0]).provideStream());
}
else {
long seed = this.getSeed(operatorContext);
rand = new Random(seed);
final int[] sampleIndices = new int[sampleSize];
final BitSet data = new BitSet();
for (int i = 0; i < sampleSize; i++) {
sampleIndices[i] = rand.nextInt(datasetSize.intValue());
while (data.get(sampleIndices[i])) //without replacement
sampleIndices[i] = rand.nextInt(datasetSize.intValue());
data.set(sampleIndices[i]);
}
Arrays.sort(sampleIndices);
((StreamChannel.Instance) outputs[0]).accept(((JavaChannelInstance) inputs[0]).<Type>provideStream().filter(new Predicate<Type>() {
int streamIndex = 0;
int sampleIndex = 0;
@Override
public boolean test(Type element) {
if (sampleIndex == sampleIndices.length) //we already picked all our samples
return false;
if (streamIndex == sampleIndices[sampleIndex]) {
sampleIndex++;
streamIndex++;
return true;
}
streamIndex++;
return false;
}
})
);
}
return ExecutionOperator.modelLazyExecution(inputs, outputs, operatorContext);
}
@Override
public Collection<String> getLoadProfileEstimatorConfigurationKeys() {
return Collections.singletonList("wayang.java.random-sample.load");
}
@Override
protected ExecutionOperator createCopy() {
return new JavaRandomSampleOperator<>(this);
}
@Override
public List<ChannelDescriptor> getSupportedInputChannels(int index) {
assert index <= this.getNumInputs() || (index == 0 && this.getNumInputs() == 0);
return this.isDataSetSizeKnown() ?
Arrays.asList(CollectionChannel.DESCRIPTOR, StreamChannel.DESCRIPTOR) :
Collections.singletonList(CollectionChannel.DESCRIPTOR);
}
@Override
public List<ChannelDescriptor> getSupportedOutputChannels(int index) {
assert index <= this.getNumOutputs() || (index == 0 && this.getNumOutputs() == 0);
return Collections.singletonList(StreamChannel.DESCRIPTOR);
}
}