edu.umd.cloud9.example.bigram.AnalyzeBigramRelativeFrequencyJson.java Source code

Introduction

Here is the source code for edu.umd.cloud9.example.bigram.AnalyzeBigramRelativeFrequencyJson.java

Source

/*
 * 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.cloud9.example.bigram;

import java.util.Arrays;
import java.util.Collections;
import java.util.Comparator;
import java.util.Iterator;
import java.util.List;

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.fs.Path;
import org.apache.hadoop.io.FloatWritable;
import org.apache.hadoop.util.ToolRunner;

import tl.lin.data.pair.PairOfWritables;

import com.google.common.collect.Iterators;
import com.google.common.collect.Lists;

import edu.umd.cloud9.io.SequenceFileUtils;

public class AnalyzeBigramRelativeFrequencyJson {
    private static final String INPUT = "input";

    @SuppressWarnings({ "static-access" })
    public static void main(String[] args) {
        Options options = new Options();

        options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT));

        CommandLine cmdline = null;
        CommandLineParser parser = new GnuParser();

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

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

        String inputPath = cmdline.getOptionValue(INPUT);
        System.out.println("input path: " + inputPath);

        List<PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable>> pairs = SequenceFileUtils
                .readDirectory(new Path(inputPath));

        List<PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable>> list1 = Lists.newArrayList();
        List<PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable>> list2 = Lists.newArrayList();

        for (PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable> p : pairs) {
            BigramRelativeFrequencyJson.MyTuple bigram = p.getLeftElement();

            if (bigram.getJsonObject().get("Left").getAsString().equals("light")) {
                list1.add(p);
            }

            if (bigram.getJsonObject().get("Left").getAsString().equals("contain")) {
                list2.add(p);
            }
        }

        Collections.sort(list1,
                new Comparator<PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable>>() {
                    public int compare(PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable> e1,
                            PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable> e2) {
                        if (e1.getRightElement().compareTo(e2.getRightElement()) == 0) {
                            return e1.getLeftElement().compareTo(e2.getLeftElement());
                        }

                        return e2.getRightElement().compareTo(e1.getRightElement());
                    }
                });

        Iterator<PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable>> iter1 = Iterators
                .limit(list1.iterator(), 10);
        while (iter1.hasNext()) {
            PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable> p = iter1.next();
            BigramRelativeFrequencyJson.MyTuple bigram = p.getLeftElement();
            System.out.println(bigram + "\t" + p.getRightElement());
        }

        Collections.sort(list2,
                new Comparator<PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable>>() {
                    public int compare(PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable> e1,
                            PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable> e2) {
                        if (e1.getRightElement().compareTo(e2.getRightElement()) == 0) {
                            return e1.getLeftElement().compareTo(e2.getLeftElement());
                        }

                        return e2.getRightElement().compareTo(e1.getRightElement());
                    }
                });

        Iterator<PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable>> iter2 = Iterators
                .limit(list2.iterator(), 10);
        while (iter2.hasNext()) {
            PairOfWritables<BigramRelativeFrequencyJson.MyTuple, FloatWritable> p = iter2.next();
            BigramRelativeFrequencyJson.MyTuple bigram = p.getLeftElement();
            System.out.println(bigram + "\t" + p.getRightElement());
        }
    }
}