hadoop自定义数据类型

转载自http://blog.csdn.net/duguduchong/article/details/8652413

一.  Hadoop内置的数据类型

• BooleanWritable:标准布尔型数值
• ByteWritable:单字节数值
• DoubleWritable:双字节数值
• FloatWritable:浮点数
• IntWritable:整型数
• LongWritable:长整型数
• Text:使用UTF8格式存储的文本
• NullWritable:当<key, value>中的key或value为空时使用

二. 用户自定义数据类型的实现

     1.继承接口Writable,实现其方法write()和readFields(), 以便该数据能被序列化后完成网络传输或文件输入/输出；

     2.如果该数据需要作为主键key使用，或需要比较数值大小时，则需要实现WritalbeComparable接口,实现其方法write(),readFields(),CompareTo() 。

public class Point3D implements Writable<Point3D>

{

    private float x,y,z;

    public float getX(){return x;}
    public float getY(){return y;}
    public float getZ(){return z;}

    public void readFields(DataInput in) throws IOException
    {
        x = in.readFloat();
        y = in.readFloat();
        z = in.readFloat();
    }

    public void write(DataOutput out) throws IOException
    {
         out.writeFloat(x);
         out.writeFloat(y);
         out.writeFloat(z);
    }
}
public class Point3D implements WritableComparable<Point3D>
{
    private float x,y,z;
    public float getX(){return x;}
    public float getY(){return y;}
    public float getZ(){return z;}

    public void readFields(DataInput in) throws IOException
    {
        x = in.readFloat();
        y = in.readFloat();
        z = in.readFloat();
    }

    public void write(DataOutput out) throws IOException
    {
         out.writeFloat(x);
         out.writeFloat(y);
         out.writeFloat(z);
    }
 
    public int CompareTo(Point3D p)
    {
        //具体实现比较当前的空间坐标点this(x,y,z)与指定的点p(x,y,z)的大小
        // 并输出： -1(小于), 0(等于), 1(大于)
    }
}