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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.spark.operators;
import org.apache.spark.api.java.JavaRDD;
import org.apache.wayang.basic.operators.LocalCallbackSink;
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.spark.channels.RddChannel;
import org.apache.wayang.spark.execution.SparkExecutor;
import java.io.Serializable;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
import java.util.function.Consumer;
import org.apache.wayang.spark.platform.SparkPlatform;
/**
* Implementation of the {@link LocalCallbackSink} operator for the Spark platform.
*/
public class SparkLocalCallbackSink<T extends Serializable> extends LocalCallbackSink<T> implements SparkExecutionOperator {
SparkPlatform platform;
/**
* Creates a new instance.
*
* @param callback callback that is executed locally for each incoming data unit
* @param type type of the incoming elements
*/
public SparkLocalCallbackSink(Consumer<T> callback, DataSetType type) {
super(callback, type);
}
/**
* Copies an instance (exclusive of broadcasts).
*
* @param that that should be copied
*/
public SparkLocalCallbackSink(LocalCallbackSink<T> that) {
super(that);
}
@Override
public Tuple<Collection<ExecutionLineageNode>, Collection<ChannelInstance>> evaluate(
ChannelInstance[] inputs,
ChannelInstance[] outputs,
SparkExecutor sparkExecutor,
OptimizationContext.OperatorContext operatorContext) {
assert inputs.length == this.getNumInputs();
assert outputs.length == this.getNumOutputs();
final RddChannel.Instance input = (RddChannel.Instance) inputs[0];
final JavaRDD<T> inputRdd = input.provideRdd();
inputRdd.toLocalIterator().forEachRemaining(this.callback);
return ExecutionOperator.modelEagerExecution(inputs, outputs, operatorContext);
}
@Override
protected ExecutionOperator createCopy() {
return new SparkLocalCallbackSink<>(this.callback, this.getType());
}
@Override
public String getLoadProfileEstimatorConfigurationKey() {
return "wayang.spark.localcallbacksink.load";
}
@Override
public List<ChannelDescriptor> getSupportedInputChannels(int index) {
assert index <= this.getNumInputs() || (index == 0 && this.getNumInputs() == 0);
return Arrays.asList(RddChannel.UNCACHED_DESCRIPTOR, RddChannel.CACHED_DESCRIPTOR);
}
@Override
public List<ChannelDescriptor> getSupportedOutputChannels(int index) {
throw new UnsupportedOperationException(String.format("%s does not have output channels.", this));
}
@Override
public boolean containsAction() {
return true;
}
@Override
public SparkPlatform getPlatform() {
if(this.platform == null) {
return SparkExecutionOperator.super.getPlatform();
}
return this.platform;
}
@Override
public SparkLocalCallbackSink<T> setPlatform(SparkPlatform sparkPlatform) {
this.platform = sparkPlatform;
return this;
}
}