Example usage for org.apache.hadoop.io Writable interface-usage

Introduction

In this page you can find the example usage for org.apache.hadoop.io Writable interface-usage.

Usage

From source file edu.american.student.redis.hadoop.RedisBigTableInputSplit.java

public class RedisBigTableInputSplit extends InputSplit implements Writable {
    private RedisBigTableKey key;
    private byte[] value;
    private byte[] table;

    public RedisBigTableInputSplit() {

From source file edu.clu.cs.TripDataTuple.java

public class TripDataTuple implements Writable {
    private String m_medallion = null;
    private String m_hackLicense = null;
    private float m_vendorId = Float.NaN;
    private float m_rateCode = Float.NaN;
    private float m_storeAndFwdFlag = Float.NaN;

From source file edu.cmu.cs.lti.ark.fn.optimization.LDouble.java

/**
 * Log-Double. A class to represent a double value along with a boolean indicating whether 
 * the exponentiated value should be positive (true) or negative (false). 
 * 
 * @author Kevin Gimpel
 *

From source file edu.cmu.lemurproject.WritableWarcRecord.java

public class WritableWarcRecord implements Writable {

    WarcRecord record = null;

    public WritableWarcRecord() {
        record = new WarcRecord();

From source file edu.cqupt.spectral.model.IntDoublePairWritable.java

/**
 * This class is a Writable implementation of the mahout.common.Pair
 * generic class. Since the generic types would also themselves have to
 * implement Writable, it made more sense to create a more specialized
 * version of the class altogether.
 *

From source file edu.cuhk.hccl.data.NounPhrase.java

public class NounPhrase implements Writable {
    private Text adjective;
    private Text noun;
    private Text aspect;
    private IntWritable rating;
    private DoubleWritable similarity;

From source file edu.gslis.streamcorpus.StreamItemWritable.java

public class StreamItemWritable extends StreamItem implements Writable {

    private static final long serialVersionUID = 1L;

    TSerializer serializer = new TSerializer(new TBinaryProtocol.Factory());
    TDeserializer deserializer = new TDeserializer(new TBinaryProtocol.Factory());

From source file edu.indiana.d2i.htrc.io.dataapi.IDInputSplit.java

public class IDInputSplit extends InputSplit implements Writable {
    private List<String> idList = new ArrayList<String>();
    private String[] hosts = null;

    // get called by newInstance()
    public IDInputSplit() {

From source file edu.indiana.soic.ts.mapreduce.pwd.SWGWritable.java

public class SWGWritable implements Writable {

    private long rowBlock, columnBlock, blockSize;

    private short[][] alignments;

From source file edu.isi.karma.cleaning.features.LogisticModelParameters.java

/**
 * Encapsulates everything we need to know about a model and how it reads and vectorizes its input.
 * This encapsulation allows us to coherently save and restore a model from a file.  This also
 * allows us to keep command line arguments that affect learning in a coherent way.
 */
public class LogisticModelParameters implements Writable {