edu.umd.shrawanraina.BuildInvertedIndexCompressed.java Source code

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/*
 * Cloud9: A Hadoop toolkit for working with big data
 *
 * 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 edu.umd.shrawanraina;

import java.io.ByteArrayOutputStream;
import java.io.DataOutputStream;
import java.io.IOException;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Iterator;

import org.apache.commons.cli.CommandLine;
import org.apache.commons.cli.CommandLineParser;
import org.apache.commons.cli.GnuParser;
import org.apache.commons.cli.HelpFormatter;
import org.apache.commons.cli.OptionBuilder;
import org.apache.commons.cli.Options;
import org.apache.commons.cli.ParseException;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.VIntWritable;
import org.apache.hadoop.io.WritableUtils;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Partitioner;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.MapFileOutputFormat;
//import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.log4j.Logger;

import tl.lin.data.fd.Object2IntFrequencyDistribution;
import tl.lin.data.fd.Object2IntFrequencyDistributionEntry;
import tl.lin.data.pair.PairOfObjectInt;
import tl.lin.data.pair.PairOfStringInt;

public class BuildInvertedIndexCompressed extends Configured implements Tool {
    private static final Logger LOG = Logger.getLogger(BuildInvertedIndexCompressed.class);

    private static class MyMapper extends Mapper<LongWritable, Text, PairOfStringInt, VIntWritable> {
        private static final Text WORD = new Text();
        private static final Object2IntFrequencyDistribution<String> COUNTS = new Object2IntFrequencyDistributionEntry<String>();
        private static final VIntWritable TF = new VIntWritable();
        //private static HashMap<String, Integer> dfMap = new HashMap<String, Integer>();

        @Override
        public void map(LongWritable docno, Text doc, Context context) throws IOException, InterruptedException {
            String text = doc.toString();
            COUNTS.clear();
            String[] terms = text.split("\\s+");
            // First build a histogram of the terms.
            for (String term : terms) {
                if (term == null || term.length() == 0) {
                    continue;
                }
                COUNTS.increment(term);
            }

            // Emit postings.
            for (PairOfObjectInt<String> e : COUNTS) {
                WORD.set(e.getLeftElement());
                TF.set(e.getRightElement());
                context.write(new PairOfStringInt(WORD.toString(), (int) docno.get()), TF);
                /*
                if(!dfMap.containsKey(e.getLeftElement()))
                   dfMap.put(e.getLeftElement(), 1);
                else{
                   dfMap.put(e.getLeftElement(), 1+dfMap.get(e.getLeftElement()));
                }
                */
            }
        }
        /*
        @Override
        public void cleanup(Context context) throws IOException{
           FileSystem fs = FileSystem.get(context.getConfiguration());
           Path mapPath = new Path("./sidedata/dfMap.txt");
           BufferedWriter bwMap = new BufferedWriter(new OutputStreamWriter(fs.create(mapPath)));
            for(Map.Entry<String, Integer> entry : dfMap.entrySet()){
          bwMap.write(entry.getKey()+"<SPLIT>"+entry.getValue());
          bwMap.write("\n");
            }
            bwMap.close();
        }
        */
    }

    private static class MyReducer extends Reducer<PairOfStringInt, VIntWritable, Text, BytesWritable> {
        private static String prevKey;
        private static int prevDocNo;
        private static int df;
        private static int tf;
        private static int dgap;
        private final static ByteArrayOutputStream postings = new ByteArrayOutputStream();
        private final static DataOutputStream stream = new DataOutputStream(postings);
        private final static Text KEY = new Text();

        @Override
        public void setup(Context context) {
            prevKey = null;
            prevDocNo = 0;
            df = 0;
            tf = 0;
            dgap = 0;
        }

        @Override
        public void reduce(PairOfStringInt key, Iterable<VIntWritable> values, Context context)
                throws IOException, InterruptedException {
            String term = key.getLeftElement();
            if (term.equals(prevKey) || prevKey == null) {
                prevKey = key.getLeftElement();
                //Iterate through the values
                Iterator<VIntWritable> iter = values.iterator();
                while (iter.hasNext()) {
                    df++;
                    tf = iter.next().get();
                    dgap = key.getRightElement() - prevDocNo;
                    WritableUtils.writeVInt(stream, dgap);
                    WritableUtils.writeVInt(stream, dgap);
                    prevDocNo = key.getRightElement();
                    ;
                }
            } else {
                KEY.set(prevKey);

                stream.flush();

                ByteArrayOutputStream dfpost = new ByteArrayOutputStream();
                DataOutputStream dfstream = new DataOutputStream(dfpost);
                WritableUtils.writeVInt(dfstream, df);
                dfstream.write(postings.toByteArray());
                dfstream.flush();
                context.write(KEY, new BytesWritable(dfpost.toByteArray()));

                prevDocNo = 0;
                df = 0;
                prevKey = key.getLeftElement();
                postings.reset();

                Iterator<VIntWritable> iter = values.iterator();
                while (iter.hasNext()) {
                    df++;
                    tf = iter.next().get();
                    dgap = key.getRightElement() - prevDocNo;

                    WritableUtils.writeVInt(stream, dgap);
                    WritableUtils.writeVInt(stream, tf);

                    prevDocNo = key.getRightElement();
                }
            }
            /*
            Iterator<VIntWritable> iter = values.iterator();
            while(iter.hasNext()){
               int tf = iter.next().get();
               if(key.getLeftElement().equals(prevKey) || prevKey == null){
                  df++;
                  prevKey = key.getLeftElement();
                  dgap = key.getRightElement() - prevDocNo;
                  //System.out.println("1: "+key+" "+df+" "+tf+" "+dgap);
                  WritableUtils.writeVInt(stream, dgap);
                  WritableUtils.writeVInt(stream, tf);
                      
               }
               else{
                  KEY.set(prevKey);
                      
                  stream.flush();
                  postings.flush();
                      
                  ByteArrayOutputStream dfpost = new ByteArrayOutputStream();
             DataOutputStream dfstream = new DataOutputStream(dfpost);
             WritableUtils.writeVInt(dfstream, df);
             dfstream.write(postings.toByteArray());
                 
             dfstream.flush();
             context.write(KEY, new BytesWritable(dfpost.toByteArray()));
             //System.out.println("2: "+key+" "+df+" "+tf+" "+dgap);
                  dgap = 0;
                  df = 0;
                  prevKey = key.getLeftElement();
                  postings.reset();
                      
                  WritableUtils.writeVInt(stream, dgap);
                  WritableUtils.writeVInt(stream, tf);
                      
               }
               prevDocNo = key.getRightElement();
            }
            */
        }

        @Override
        public void cleanup(Context context) throws IOException, InterruptedException {
            KEY.set(prevKey);

            stream.flush();

            ByteArrayOutputStream dfpost = new ByteArrayOutputStream();
            DataOutputStream dfstream = new DataOutputStream(dfpost);
            WritableUtils.writeVInt(dfstream, df);
            dfstream.write(postings.toByteArray());
            dfstream.flush();
            context.write(KEY, new BytesWritable(dfpost.toByteArray()));

            postings.close();
            stream.close();
        }
    }

    protected static class MyPartitioner extends Partitioner<PairOfStringInt, IntWritable> {

        @Override
        public int getPartition(PairOfStringInt key, IntWritable value, int numReduceTasks) {
            return (key.getLeftElement().hashCode() & Integer.MAX_VALUE) % numReduceTasks;
        }
    }

    private BuildInvertedIndexCompressed() {
    }

    private static final String INPUT = "input";
    private static final String OUTPUT = "output";
    private static final String NUM_REDUCERS = "numReducers";

    /**
     * Runs this tool.
     */
    @SuppressWarnings({ "static-access" })
    public int run(String[] args) throws Exception {
        Options options = new Options();

        options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT));
        options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT));
        options.addOption(OptionBuilder.withArgName("num").hasArg().withDescription("number of reducers")
                .create(NUM_REDUCERS));

        CommandLine cmdline;
        CommandLineParser parser = new GnuParser();

        try {
            cmdline = parser.parse(options, args);
        } catch (ParseException exp) {
            System.err.println("Error parsing command line: " + exp.getMessage());
            return -1;
        }

        if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT)) {
            System.out.println("args: " + Arrays.toString(args));
            HelpFormatter formatter = new HelpFormatter();
            formatter.setWidth(120);
            formatter.printHelp(this.getClass().getName(), options);
            ToolRunner.printGenericCommandUsage(System.out);
            return -1;
        }

        String inputPath = cmdline.getOptionValue(INPUT);
        String outputPath = cmdline.getOptionValue(OUTPUT);
        int reduceTasks = cmdline.hasOption(NUM_REDUCERS) ? Integer.parseInt(cmdline.getOptionValue(NUM_REDUCERS))
                : 1;

        LOG.info("Tool name: " + BuildInvertedIndexCompressed.class.getSimpleName());
        LOG.info(" - input path: " + inputPath);
        LOG.info(" - output path: " + outputPath);
        LOG.info(" - num reducers: " + reduceTasks);

        Job job = Job.getInstance(getConf());
        job.setJobName(BuildInvertedIndexCompressed.class.getSimpleName());
        job.setJarByClass(BuildInvertedIndexCompressed.class);

        job.setNumReduceTasks(reduceTasks);

        FileInputFormat.setInputPaths(job, new Path(inputPath));
        FileOutputFormat.setOutputPath(job, new Path(outputPath));

        job.setMapOutputKeyClass(PairOfStringInt.class);
        job.setMapOutputValueClass(VIntWritable.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(BytesWritable.class);
        job.setOutputFormatClass(MapFileOutputFormat.class);

        job.setMapperClass(MyMapper.class);
        job.setReducerClass(MyReducer.class);

        // Delete the output directory if it exists already.
        Path outputDir = new Path(outputPath);
        FileSystem.get(getConf()).delete(outputDir, true);
        /*
        // Delete side data directory if it exists already.
        Path sdDir = new Path("sidedata");
        FileSystem.get(getConf()).delete(sdDir, true);
        */
        long startTime = System.currentTimeMillis();
        job.waitForCompletion(true);
        System.out.println("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds");

        return 0;
    }

    /**
     * Dispatches command-line arguments to the tool via the {@code ToolRunner}.
     */
    public static void main(String[] args) throws Exception {
        ToolRunner.run(new BuildInvertedIndexCompressed(), args);
    }
}