edu.indiana.d2i.htrc.io.SparseVectorsFromHDFSRawText.java Source code

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Here is the source code for edu.indiana.d2i.htrc.io.SparseVectorsFromHDFSRawText.java

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/*
#
# Copyright 2012 The Trustees of Indiana University
#
# 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.
#
# -----------------------------------------------------------------
#
# Project: knn
# File:  DataCopyJob.java
# Description:  
#
# -----------------------------------------------------------------
# 
 */

package edu.indiana.d2i.htrc.io;

import java.io.IOException;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.mahout.math.VectorWritable;

import edu.indiana.d2i.htrc.HTRCConstants;

public class SparseVectorsFromHDFSRawText extends Configured implements Tool {

    private static final Log logger = LogFactory.getLog(SparseVectorsFromHDFSRawText.class);

    private final String VECTOR_DIR = "tf-vectors";

    private int maxIdsPerSplit;
    private String textInputDir;
    private String outputDir;
    private String dictDir;

    private void printUsage() {
        System.out.println("Bad input arguments!");
        System.exit(1);
    }

    private void createSparseVector(Path inputPath, Path outputPath)
            throws IOException, ClassNotFoundException, InterruptedException {
        Job job = new Job(getConf(), "Create sparse vector from plain text in HDFS.");
        job.setJarByClass(SparseVectorsFromHDFSRawText.class);

        job.getConfiguration().setInt(HTRCConstants.MAX_IDNUM_SPLIT, maxIdsPerSplit);

        // no speculation
        job.getConfiguration().setBoolean("mapred.map.tasks.speculative.execution", false);
        job.getConfiguration().setBoolean("mapred.reduce.tasks.speculative.execution", false);

        // maximum #id per split
        job.getConfiguration().setInt(HTRCConstants.MAX_IDNUM_SPLIT, maxIdsPerSplit);

        // dictionary and lucene
        job.getConfiguration().set(HTRCConstants.DICTIONARY_PATH, dictDir);

        job.setInputFormatClass(SequenceFileInputFormat.class);
        job.setOutputFormatClass(SequenceFileOutputFormat.class);

        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(VectorWritable.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(VectorWritable.class);

        job.setMapperClass(SparseVectorUtil.Text2VectorMapper.class);
        job.setNumReduceTasks(0);

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

        job.waitForCompletion(true);
    }

    // add filter !!??
    @Override
    public int run(String[] args) throws Exception {
        if (args.length != 4) {
            printUsage();
        }

        // all directories are in HDFS
        textInputDir = args[0];
        outputDir = args[1];
        dictDir = args[2];
        maxIdsPerSplit = Integer.valueOf(args[3]);

        logger.info("SparseVectorsFromHDFSRawText ");
        logger.info(" - textInputDir: " + textInputDir);
        logger.info(" - output: " + outputDir);
        logger.info(" - dictDir: " + dictDir);
        logger.info(" - maxIdsPerSplit: " + maxIdsPerSplit);

        long t0 = System.currentTimeMillis();
        Path textpath = new Path(textInputDir);
        Path vecpath = new Path(outputDir, VECTOR_DIR);
        createSparseVector(textpath, vecpath);
        long t1 = System.currentTimeMillis();

        logger.info("SparseVectorsFromHDFSRawText takes " + (double) (t1 - t0) / 1000 + " seconds.");

        return 0;
    }

    public static void main(String[] args) throws Exception {
        int res = ToolRunner.run(new Configuration(), new SparseVectorsFromHDFSRawText(), args);
        System.exit(res);
    }
}