在hadoop框架中实现自定义类可以被序列化。

package com.rpc.nefu;

import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;

import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.WritableComparable;

//自定义的序列化方法，只需要实现WritableComparable接口,重写一些方法即可 主要就是 readFields() write() compareTo()
public class personWritable implements WritableComparable<personWritable>{
	private Text name;
	private IntWritable age;
	private Text sex;
	public personWritable(){
		set("name",-1,"female");
	}
	public personWritable(String _name,int _age,String _sex){
		set(_name,_age,_sex);
	}
	public void set(String name,int age,String sex){
		this.name = new Text(name);
		this.age = new IntWritable(age);
		this.sex = new Text(sex);
	}
	//反序列化过程，将datainput的内容还原为hadoop对象
	@Override
	public void readFields(DataInput in) throws IOException {
		// TODO Auto-generated method stub
		name.readFields(in);
		age.readFields(in);
		sex.readFields(in);
	}
	//序列化过程
	@Override
	public void write(DataOutput out) throws IOException {
		// TODO Auto-generated method stub
		name.write(out);
		age.write(out);
		sex.write(out);
	}

	@Override
	public int compareTo(personWritable other) {
		// TODO Auto-generated method stub
		int cmp1 = name.compareTo(other.name);
		if(cmp1!=0){
			return cmp1;
		}
		int cmp2 = age.compareTo(other.age);
		if(cmp2!=0){
			return cmp2;
		}
		int cmp3 = sex.compareTo(other.sex);
		return cmp3;
	}
	//判断是否相等
	public boolean equals(Object o){
		if(o instanceof personWritable){
			personWritable pw = (personWritable) o;
			return name.equals(pw.name)&&age.equals(pw.age)&&sex.equals(pw.sex);
		}
		return false;
	}
	//哈希值
	public int hashCode(){
		return name.hashCode()*3+age.hashCode()*5+sex.hashCode()*7;
	}
	public String toString(){
		StringBuffer sb = new StringBuffer();
		sb.append("--");
		sb.append("姓名:"+name+"_");
		sb.append("年龄:"+age+"_");
		sb.append("性别:"+sex+"_");
		sb.append("--");
		return sb.toString();	
	}
}

package com.rpc.nefu;

import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.DataInputStream;
import java.io.DataOutputStream;
import java.io.IOException;

//import org.apache.hadoop.io.Writable;

//将序列化的对象的内容返回到一个字节数组中去 记录序列的过程
public class hadoopSerializable {
	public static byte[] serialize(personWritable writable) throws IOException{
		//创建一个字节数组
		ByteArrayOutputStream out = new ByteArrayOutputStream();
		//创建一个DataOutputStream,将字节数组传递进去，保存输出的序列化后的内容
        DataOutputStream dataout =  new DataOutputStream(out); 
        //让参数的Hadoop对象序列化到字节流中 
        writable.write(dataout); 
        dataout.close(); 
        //返回序列化后的字节流 
        return out.toByteArray(); 
	}
	
		   /**
		    *这个方法用于反序列化一个字节数组成Hadoop Writable对象 
		    *@param writable 反序列化后的Writable对象存放在这个参数中 
		    *@param bytes 被反序列化的字节数组 对应于上面序列化的bytes
		    **/
public static void deserialize(personWritable writable,byte[] bytes) throws Exception{ 
        
        ByteArrayInputStream in = new ByteArrayInputStream(bytes); 
        //创建一个DataInputStream 
        DataInputStream datain = new DataInputStream(in); 
        //让Hadoop框架反序列化这个字节数组，还原后的Writable对象存放到第一个参数中 
        writable.readFields(datain); 
        
        datain.close(); 
    } 
}

package com.rpc.nefu;

import org.apache.hadoop.util.StringUtils;

public class serializeTest {
	public static void main(String [] args) throws Exception{ 
        
        /*把我们自定义的Hadoop可序列化对象进行序列化 */
        System.out.println("Hadoop--对象序列化"); 
        personWritable pw = new personWritable("XD",23,"Male"); 
        String imformation= "自定义可序列化Hadoop类型为： "+pw.getClass().getName()+"\n"; 
        String primaryPersonWritableInfo = "序列化前对象为：  "+pw.toString()+"\n"; 
        //开始序列化过程 
        byte[] serializedValue =http://www.mamicode.com/hadoopSerializable.serialize(pw); >
此过程在eclipse上完成，可能会存在出入。
自定义类可序列化