Java tutorial
/* * Copyright (C) IBM Corp. 2009. * * Licensed 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.sf.xrime.algorithms.partitions.connected.strongly; import java.io.IOException; import java.util.Iterator; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.Text; import org.apache.hadoop.io.compress.GzipCodec; import org.apache.hadoop.mapred.FileInputFormat; import org.apache.hadoop.mapred.FileOutputFormat; import org.apache.hadoop.mapred.JobClient; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.mapred.Mapper; import org.apache.hadoop.mapred.OutputCollector; import org.apache.hadoop.mapred.Reducer; import org.apache.hadoop.mapred.Reporter; import org.apache.hadoop.mapred.SequenceFileInputFormat; import org.sf.xrime.ProcessorExecutionException; import org.sf.xrime.algorithms.GraphAlgorithm; import org.sf.xrime.algorithms.utils.GraphAlgorithmMapReduceBase; import org.sf.xrime.model.vertex.LabeledAdjBiSetVertex; /** * This class is used to extract partitions corresponding to SCCs. * @author xue */ public class ExtractPartitions extends GraphAlgorithm { /** * Default constructor. */ public ExtractPartitions() { super(); } /** * Mapper. * @author xue */ public static class MapClass extends GraphAlgorithmMapReduceBase implements Mapper<Text, LabeledAdjBiSetVertex, Text, Text> { @Override public void map(Text key, LabeledAdjBiSetVertex value, OutputCollector<Text, Text> output, Reporter reporter) throws IOException { if (value.getStringLabel(ConstantLabels.FINAL_LABEL) != null) { // The normal case. output.collect(key, new Text(value.getStringLabel(ConstantLabels.FINAL_LABEL))); } else { // A special case, where the scc is a single vertex. output.collect(key, key); } } } /** * Reducer. Used to merge the map output into less files. * @author xue */ public static class ReduceClass extends GraphAlgorithmMapReduceBase implements Reducer<Text, Text, Text, Text> { @Override public void reduce(Text key, Iterator<Text> values, OutputCollector<Text, Text> output, Reporter reporter) throws IOException { while (values.hasNext()) { output.collect(key, values.next()); } } } @Override public void execute() throws ProcessorExecutionException { JobConf conf = new JobConf(context, ExtractPartitions.class); conf.setJobName("ExtractPartitions"); // the keys are vertex identifiers (strings) conf.setOutputKeyClass(Text.class); // the values are vertexes (Writable) conf.setOutputValueClass(Text.class); conf.setMapperClass(MapClass.class); // No combiners. conf.setReducerClass(ReduceClass.class); // makes the file format suitable for machine processing. conf.setInputFormat(SequenceFileInputFormat.class); try { Path[] paths = new Path[1]; FileInputFormat.setInputPaths(conf, getSource().getPaths().toArray(paths)); FileOutputFormat.setOutputPath(conf, getDestination().getPath()); } catch (IllegalAccessException e1) { throw new ProcessorExecutionException(e1); } conf.setNumMapTasks(getMapperNum()); conf.setNumReduceTasks(getReducerNum()); conf.setMapOutputCompressorClass(GzipCodec.class); conf.setCompressMapOutput(true); try { this.runningJob = JobClient.runJob(conf); } catch (IOException e) { throw new ProcessorExecutionException(e); } } }