com.twitter.algebra.matrix.text.Matrix2TextJob.java Source code

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Here is the source code for com.twitter.algebra.matrix.text.Matrix2TextJob.java

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/*
Copyright 2014 Twitter, Inc.
    
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 com.twitter.algebra.matrix.text;

import java.io.IOException;
import java.util.List;
import java.util.Map;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.MultipleInputs;
import org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hadoop.util.ToolRunner;
import org.apache.mahout.common.AbstractJob;
import org.apache.mahout.math.RandomAccessSparseVector;
import org.apache.mahout.math.Vector.Element;
import org.apache.mahout.math.VectorWritable;
import org.apache.mahout.math.hadoop.DistributedRowMatrix;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

public class Matrix2TextJob extends AbstractJob {
    private static final Logger log = LoggerFactory.getLogger(Matrix2TextJob.class);

    public static void main(String[] args) throws Exception {
        ToolRunner.run(new Matrix2TextJob(), args);
    }

    @Override
    public int run(String[] strings) throws Exception {
        addInputOption();
        addOutputOption();
        Map<String, List<String>> parsedArgs = parseArguments(strings);
        if (parsedArgs == null) {
            return -1;
        }

        run(getConf(), getInputPath(), new Path(getOutputPath(), "text-" + getInputPath().getName()));
        return 0;
    }

    public static DistributedRowMatrix run(Configuration conf, DistributedRowMatrix A, String label)
            throws IOException, InterruptedException, ClassNotFoundException {
        log.info("running " + Matrix2TextJob.class.getName());

        Path outPath = new Path(A.getOutputTempPath(), label);
        FileSystem fs = FileSystem.get(outPath.toUri(), conf);
        Matrix2TextJob job = new Matrix2TextJob();
        if (!fs.exists(outPath)) {
            job.run(conf, A.getRowPath(), outPath);
        } else {
            log.warn("----------- Skip already exists: " + outPath);
        }
        DistributedRowMatrix distRes = new DistributedRowMatrix(outPath, A.getOutputTempPath(), A.numRows(),
                A.numCols());
        distRes.setConf(conf);
        return distRes;
    }

    public void run(Configuration conf, Path matrixInputPath, Path matrixOutputPath)
            throws IOException, InterruptedException, ClassNotFoundException {
        @SuppressWarnings("deprecation")
        Job job = new Job(conf);
        job.setJarByClass(Matrix2TextJob.class);
        job.setJobName(Matrix2TextJob.class.getSimpleName());
        FileSystem fs = FileSystem.get(matrixInputPath.toUri(), conf);
        matrixInputPath = fs.makeQualified(matrixInputPath);
        matrixOutputPath = fs.makeQualified(matrixOutputPath);

        //    FileInputFormat.addInputPath(job, matrixInputPath);
        MultipleInputs.addInputPath(job, matrixInputPath, SequenceFileInputFormat.class);
        //    job.setInputFormatClass(SequenceFileInputFormat.class);
        TextOutputFormat.setOutputPath(job, matrixOutputPath);
        job.setNumReduceTasks(0);

        job.setOutputFormatClass(TextOutputFormat.class);
        //    job.setOutputKeyClass(IntWritable.class);
        //    job.setOutputValueClass(org.apache.hadoop.io.Text);
        job.setMapperClass(IdMapper.class);

        job.submit();
        boolean res = job.waitForCompletion(true);
        if (!res)
            throw new IOException("Job failed!");
    }

    static double EPSILON = Double.NaN;
    static final String EPSILON_STR = "matrix.text.epsilon";

    public static class IdMapper extends Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable> {
        VectorWritable vw = new VectorWritable();

        @Override
        public void setup(Context context) throws IOException {
            EPSILON = context.getConfiguration().getFloat(EPSILON_STR, Float.NaN);
        }

        @Override
        public void map(IntWritable key, VectorWritable value, Context context)
                throws IOException, InterruptedException {
            RandomAccessSparseVector tmp = new RandomAccessSparseVector(value.get().size(),
                    value.get().getNumNondefaultElements());
            for (Element e : value.get().nonZeroes()) {
                if (!Double.isNaN(EPSILON) && e.get() > EPSILON)
                    tmp.set(e.index(), e.get());
            }
            vw.set(tmp);
            context.write(key, vw);
        }
    }

}