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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.channels.FileChannel;
import org.apache.wayang.basic.data.Tuple2;
import org.apache.wayang.core.optimizer.OptimizationContext;
import org.apache.wayang.core.plan.wayangplan.ExecutionOperator;
import org.apache.wayang.core.plan.wayangplan.Operator;
import org.apache.wayang.core.plan.wayangplan.UnarySource;
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.core.util.fs.FileSystems;
import org.apache.wayang.spark.channels.RddChannel;
import org.apache.wayang.spark.execution.SparkExecutor;
import org.apache.wayang.spark.platform.SparkPlatform;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
/**
* {@link Operator} for the {@link SparkPlatform} that creates a sequence file. Consistent with Spark's object files.
*
* @see SparkObjectFileSink
*/
public class SparkTsvFileSource<T> extends UnarySource<T> implements SparkExecutionOperator {
private final String sourcePath;
public SparkTsvFileSource(DataSetType type) {
this(null, type);
}
public SparkTsvFileSource(String sourcePath, DataSetType<T> type) {
super(type);
this.sourcePath = sourcePath;
}
@Override
public Tuple<Collection<ExecutionLineageNode>, Collection<ChannelInstance>> evaluate(
ChannelInstance[] inputs,
ChannelInstance[] outputs,
SparkExecutor sparkExecutor,
OptimizationContext.OperatorContext operatorContext) {
final String sourcePath;
if (this.sourcePath != null) {
assert inputs.length == 0;
sourcePath = this.sourcePath;
} else {
FileChannel.Instance input = (FileChannel.Instance) inputs[0];
sourcePath = input.getSinglePath();
}
RddChannel.Instance output = (RddChannel.Instance) outputs[0];
final String actualInputPath = FileSystems.findActualSingleInputPath(sourcePath);
final JavaRDD<String> linesRdd = sparkExecutor.sc.textFile(actualInputPath);
this.name(linesRdd);
final JavaRDD<T> dataQuantaRdd = linesRdd
.map(line -> {
// TODO: Important. Enrich type informations to create the correct parser!
int tabPos = line.indexOf('\t');
return (T) new Tuple2<>(
Integer.valueOf(line.substring(0, tabPos)),
Float.valueOf(line.substring(tabPos + 1)));
});
this.name(dataQuantaRdd);
output.accept(dataQuantaRdd, sparkExecutor);
return ExecutionOperator.modelLazyExecution(inputs, outputs, operatorContext);
}
@Override
protected ExecutionOperator createCopy() {
return new SparkTsvFileSource<>(this.sourcePath, this.getType());
}
@Override
public String getLoadProfileEstimatorConfigurationKey() {
return "wayang.spark.tsvfilesource.load";
}
@Override
public List<ChannelDescriptor> getSupportedInputChannels(int index) {
return Collections.singletonList(FileChannel.HDFS_TSV_DESCRIPTOR);
}
@Override
public List<ChannelDescriptor> getSupportedOutputChannels(int index) {
return Collections.singletonList(RddChannel.UNCACHED_DESCRIPTOR);
}
@Override
public boolean containsAction() {
return false;
}
}