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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 org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.utils.DataSetUtils;
import org.apache.wayang.basic.operators.SampleOperator;
import org.apache.wayang.core.api.exception.WayangException;
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.flink.channels.DataSetChannel;
import org.apache.wayang.flink.execution.FlinkExecutor;
import java.util.Arrays;
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;
/**
* Flink implementation of the {@link SampleOperator}. Sampling with replacement (i.e., the sample may contain duplicates)
*/
public class FlinkSampleOperator<Type>
extends SampleOperator<Type>
implements FlinkExecutionOperator {
private Random rand;
/**
* Creates a new instance.
*/
public FlinkSampleOperator(IntUnaryOperator sampleSizeFunction, DataSetType<Type> type, LongUnaryOperator seedFunction) {
super(sampleSizeFunction, type, Methods.RANDOM, seedFunction);
}
/**
* Copies an instance (exclusive of broadcasts).
*
* @param that that should be copied
*/
public FlinkSampleOperator(SampleOperator<Type> that) {
super(that);
assert that.getSampleMethod() == Methods.RANDOM
|| that.getSampleMethod() == Methods.BERNOULLI
|| that.getSampleMethod() == Methods.RESERVOIR
|| that.getSampleMethod() == Methods.ANY;
}
@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 input = (DataSetChannel.Instance) inputs[0];
final DataSetChannel.Instance output = (DataSetChannel.Instance) outputs[0];
final DataSet<Type> dataSetInput = input.provideDataSet();
long size = Long.MAX_VALUE;
/* try {
size = dataSetInput.count();
} catch (Exception e) {
throw new WayangException(e);
}*/
DataSet<Type> dataSetOutput;
int sampleSize = this.getSampleSize(operatorContext);
long seed = this.getSeed(operatorContext);
if(this.getSampleSize(operatorContext) >= size){
dataSetOutput = dataSetInput;
}else {
double faction = (size / sampleSize) + 0.01d;
switch (this.getSampleMethod()) {
case RANDOM:
dataSetOutput = DataSetUtils.sampleWithSize(dataSetInput, true, sampleSize, seed);
break;
case ANY:
Random rand = new Random(seed);
dataSetOutput = dataSetInput.filter(a -> {return rand.nextBoolean();}).first(sampleSize);
break;
case BERNOULLI:
dataSetOutput = DataSetUtils.sample(dataSetInput, false, faction, seed).first(sampleSize);
break;
case RESERVOIR:
dataSetOutput = DataSetUtils.sampleWithSize(dataSetInput, true, sampleSize, seed);
break;
default:
throw new WayangException("The option is not valid");
}
}
// assuming the sample is small better use a collection instance, the optimizer can transform the output if necessary
output.accept(dataSetOutput, flinkExecutor);
return ExecutionOperator.modelLazyExecution(inputs, outputs, operatorContext);
}
@Override
protected ExecutionOperator createCopy() {
return new FlinkSampleOperator<Type>(this);
}
@Override
public List<ChannelDescriptor> getSupportedInputChannels(int index) {
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);
}
public String getLoadProfileEstimatorConfigurationKey() {
return "wayang.flink.sample.load";
}
@Override
public boolean containsAction() {
return true;
}
}