org.sf.xrime.algorithms.layout.gfr.RandomInitialLayoutGenerate.java Source code

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Here is the source code for org.sf.xrime.algorithms.layout.gfr.RandomInitialLayoutGenerate.java

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/*
 * 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.layout.gfr;

import java.io.IOException;
import java.util.Random;

import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
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.Reporter;
import org.apache.hadoop.mapred.SequenceFileInputFormat;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.sf.xrime.ProcessorExecutionException;
import org.sf.xrime.algorithms.GraphAlgorithm;
import org.sf.xrime.algorithms.layout.ConstantLabels;
import org.sf.xrime.algorithms.utils.GraphAlgorithmMapReduceBase;
import org.sf.xrime.model.vertex.AdjSetVertex;
import org.sf.xrime.model.vertex.LabeledAdjSetVertex;

/**
 * Generate random initial layout for the graph.
 * @author xue
 */
public class RandomInitialLayoutGenerate extends GraphAlgorithm {
    /**
     * Default constructor.
     */
    public RandomInitialLayoutGenerate() {
        super();
    }

    /**
     * Mapper is enough to generate the initial layout.
     * @author xue
     */
    public static class MapClass extends GraphAlgorithmMapReduceBase
            implements Mapper<Text, AdjSetVertex, Text, LabeledAdjSetVertex> {
        /**
         * Class level random number generator.
         */
        public static Random rn_generator = new Random(System.currentTimeMillis());

        @Override
        public void map(Text key, AdjSetVertex value, OutputCollector<Text, LabeledAdjSetVertex> output,
                Reporter reporter) throws IOException {
            // Get the specified size of the display frame.
            int max_x = Integer.parseInt(context.getParameter(ConstantLabels.MAX_X_COORDINATE));
            int max_y = Integer.parseInt(context.getParameter(ConstantLabels.MAX_Y_COORDINATE));
            // Generate random x, y coordinates.
            int x = rn_generator.nextInt(max_x);
            int y = rn_generator.nextInt(max_y);
            // Set the coordinates as label values.
            LabeledAdjSetVertex result = new LabeledAdjSetVertex(value);
            result.setLabel(ConstantLabels.X_COORDINATE, new IntWritable(x));
            result.setLabel(ConstantLabels.Y_COORDINATE, new IntWritable(y));
            output.collect(key, result);
        }
    }

    @Override
    public void execute() throws ProcessorExecutionException {
        JobConf conf = new JobConf(context, RandomInitialLayoutGenerate.class);
        conf.setJobName("RandomInitialLayoutGenerate");

        // the keys are vertex identifiers (strings)
        conf.setOutputKeyClass(Text.class);
        // the values are vertexes (Writable)
        conf.setOutputValueClass(LabeledAdjSetVertex.class);
        conf.setMapperClass(MapClass.class);
        // No combiner or reducer is needed.
        // makes the file format suitable for machine processing.
        conf.setInputFormat(SequenceFileInputFormat.class);
        conf.setOutputFormat(SequenceFileOutputFormat.class);
        try {
            FileInputFormat.setInputPaths(conf, getSource().getPath());
            FileOutputFormat.setOutputPath(conf, getDestination().getPath());
        } catch (IllegalAccessException e1) {
            throw new ProcessorExecutionException(e1);
        }
        // Make sure the random numbers are good.
        conf.setNumMapTasks(1);
        conf.setNumReduceTasks(0);

        try {
            this.runningJob = JobClient.runJob(conf);
        } catch (IOException e) {
            throw new ProcessorExecutionException(e);
        }
    }
}