edu.ub.ahstfg.kmeans.KmeansIteration.java Source code

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Here is the source code for edu.ub.ahstfg.kmeans.KmeansIteration.java

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/*
 * KmeansIteration.java is part of HHCluster.
 *
 * HHCluster is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * HHCluster is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with HHCluster.  If not, see <http://www.gnu.org/licenses/>.
 */

package edu.ub.ahstfg.kmeans;

import java.io.IOException;
import java.net.URI;
import java.net.URISyntaxException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.PathFilter;
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.TextOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.log4j.Logger;

import edu.ub.ahstfg.hadoop.ParamSet;
import edu.ub.ahstfg.indexer.mapred.IndexInputFormat;
import edu.ub.ahstfg.io.DocumentDistance;

/**
 * Sets up a new hadoop job for a K-means iteration.
 * @author Alberto Huelamo Segura
 */
public class KmeansIteration extends Configured implements Tool {

    /**
     * Filters the input files.
     * @author Alberto Huelamo Segura
     */
    public static class SampleFilter implements PathFilter {

        private static int count = 0;
        private static int max = 999999999;

        @Override
        public boolean accept(Path path) {

            if (path.getName().startsWith("_")) {
                return false;
            }

            SampleFilter.count++;

            if (SampleFilter.count > SampleFilter.max) {
                return false;
            }

            return true;
        }
    }

    private static final Logger LOG = Logger.getLogger(KmeansIteration.class);

    private int nIter;
    private JobConf job;

    private String inputPath;
    private String outputPath;

    private ParamSet params;

    /**
     * Sole constructor.
     * @param nIter Iteration number.
     * @param inputPath Data source path.
     * @param outputPath Data output path.
     * @param args Rest of arguments.
     */
    public KmeansIteration(int nIter, String inputPath, String outputPath, ParamSet args) {
        this.nIter = nIter;
        this.inputPath = inputPath;
        this.outputPath = outputPath;
        this.params = args;
        LOG.info("Iteration " + nIter + " > Iterarion created.");
    }

    @Override
    public int run(String[] args) throws IOException, URISyntaxException {
        job = new JobConf(getConf());
        params.toJobConf(job);
        job.setInt(ParamSet.N_ITERATION, nIter);

        LOG.info("Iteration " + nIter + " > Iniciating Kmeans iteration " + nIter);
        job.setJarByClass(KmeansIteration.class); // TODO may change for Clusterizer.class

        LOG.info("Iteration " + nIter + " > Setting input path to '" + inputPath + "'");
        FileInputFormat.setInputPaths(job, new Path(inputPath));
        FileInputFormat.setInputPathFilter(job, SampleFilter.class);

        LOG.info("Iteration " + nIter + " > Clearing the output path at '" + outputPath + "'");
        FileSystem fs = FileSystem.get(new URI(outputPath), job);

        if (fs.exists(new Path(outputPath))) {
            fs.delete(new Path(outputPath), true);
        }

        LOG.info("Iteration " + nIter + " > Setting output path to '" + outputPath + "'");
        FileOutputFormat.setOutputPath(job, new Path(outputPath));
        FileOutputFormat.setCompressOutput(job, false);

        LOG.info("Iteration " + nIter + " > Setting input format.");
        job.setInputFormat(IndexInputFormat.class);
        LOG.info("Iteration " + nIter + " > Setting output format.");
        job.setOutputFormat(TextOutputFormat.class);

        LOG.info("Iteration " + nIter + " > Setting output data types.");
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(IntWritable.class);

        LOG.info("Iteration " + nIter + " > Setting mapper and reducer.");
        job.setMapperClass(KmeansMapper.class);
        job.setMapOutputKeyClass(IntWritable.class);
        job.setMapOutputValueClass(DocumentDistance.class);
        job.setReducerClass(KmeansReducer.class);

        LOG.info("Iteration " + nIter + " > Running job...");
        boolean done = JobClient.runJob(job).isSuccessful();
        LOG.info("Iteration " + nIter + " > Job done.");
        if (done) {
            return 0;
        } else {
            return 1;
        }
    }

    /**
     * Sets up and runs a new K-means iteration job.
     * @param nIter Iteration number.
     * @param inputPath Data source path.
     * @param outputPath Data output path.
     * @param args Rest of arguments.
     * @return Job return code.
     */
    public static int runIteration(int nIter, String inputPath, String outputPath, ParamSet args) {
        int res;
        try {
            res = ToolRunner.run(new Configuration(), new KmeansIteration(nIter, inputPath, outputPath, args),
                    new String[] { "" });
        } catch (Exception e) {
            LOG.error(e.getMessage());
            e.printStackTrace();
            res = -1;
        }
        return res;
    }
}