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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.TextFileSource;
import org.apache.wayang.core.optimizer.OptimizationContext;
import org.apache.wayang.core.optimizer.costs.LoadProfileEstimators;
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.util.Tuple;
import org.apache.wayang.spark.channels.RddChannel;
import org.apache.wayang.spark.execution.SparkExecutor;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import org.apache.wayang.spark.platform.SparkPlatform;
/**
* Provides a {@link Collection} to a Spark job.
*/
public class SparkTextFileSource extends TextFileSource implements SparkExecutionOperator {
SparkPlatform platform;
public SparkTextFileSource(String inputUrl, String encoding) {
super(inputUrl, encoding);
}
public SparkTextFileSource(String inputUrl) {
super(inputUrl);
}
/**
* Copies an instance (exclusive of broadcasts).
*
* @param that that should be copied
*/
public SparkTextFileSource(TextFileSource 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();
RddChannel.Instance output = (RddChannel.Instance) outputs[0];
final JavaRDD<String> rdd = sparkExecutor.sc.textFile(this.getInputUrl());
this.name(rdd);
output.accept(rdd, sparkExecutor);
ExecutionLineageNode prepareLineageNode = new ExecutionLineageNode(operatorContext);
prepareLineageNode.add(LoadProfileEstimators.createFromSpecification(
"wayang.spark.textfilesource.load.prepare", sparkExecutor.getConfiguration()
));
ExecutionLineageNode mainLineageNode = new ExecutionLineageNode(operatorContext);
mainLineageNode.add(LoadProfileEstimators.createFromSpecification(
"wayang.spark.textfilesource.load.main", sparkExecutor.getConfiguration()
));
output.getLineage().addPredecessor(mainLineageNode);
return prepareLineageNode.collectAndMark();
}
@Override
protected ExecutionOperator createCopy() {
return new SparkTextFileSource(this.getInputUrl(), this.getEncoding());
}
@Override
public Collection<String> getLoadProfileEstimatorConfigurationKeys() {
return Arrays.asList("wayang.spark.textfilesource.load.prepare", "wayang.spark.textfilesource.load.main");
}
@Override
public List<ChannelDescriptor> getSupportedInputChannels(int index) {
throw new UnsupportedOperationException(String.format("%s does not have input channels.", this));
}
@Override
public List<ChannelDescriptor> getSupportedOutputChannels(int index) {
return Collections.singletonList(RddChannel.UNCACHED_DESCRIPTOR);
}
@Override
public boolean containsAction() {
return false;
}
@Override
public SparkPlatform getPlatform() {
if(this.platform == null) {
return SparkExecutionOperator.super.getPlatform();
}
return this.platform;
}
@Override
public SparkTextFileSource setPlatform(SparkPlatform sparkPlatform) {
this.platform = sparkPlatform;
return this;
}
}