Hadoop中的一些自定義

  1. 自定義計數器java

    計數器用來監控,hadoop中job的運行進度和狀態。apache

    如源文件內容爲:網絡

    a    bide

    c    d    e    foop

    g    h    ithis

    如今須要找出字段數大於3和小於3的記錄條數,能夠使用計數器來實現,代碼以下:spa

     public void map(LongWritable key, Text value,orm

     OutputCollector<Text, Text> output, Reporter reporter)接口

     throws IOException {hadoop

     String[] split = value.toString().split("\t");

     if(split.length>3){

     org.apache.hadoop.mapred.Counters.Counter counter = reporter.getCounter("MyCounter", "isLong");

     counter.increment(1);

     }else if(split.length<3){

     org.apache.hadoop.mapred.Counters.Counter counter = reporter.getCounter("MyCounter","isShort");

     counter.increment(1);

     }

2.  hadoop中的自定義數據類型

    hadoop中默認的數據類型有:

  • BooleanWritable:標準布爾型數值

  • ByteWritable:單字節數值

  • DoubleWritable:雙字節數值

  • FloatWritable:浮點數

  • IntWritable:整型數

  • LongWritable:長整型數

  • Text:使用UTF8格式存儲的文本

  • NullWritable:當<key, value>中的key或value爲空時使用

    自定義數據類型的實現:

    1.實現Writable接口,並重寫內部write()和readFields()方法,從而完成序列化以後的網絡傳輸和文件輸入或輸出。

    2.若是該數據類型被做爲mapreduce中的key,則該key須要爲可比較的,須要實現WriableComparable接口,並重寫內部write()和readFields()、compare()方法。

    

    代碼以下:

    代碼一:

    

public class Person implements Writable{

long id;

String name;

long age;

@Override

public void readFields(DataInput in) throws IOException {

this.id = in.readLong();

this.name = in.readUTF();

this.age = in.readLong();

}


@Override

public void write(DataOutput out) throws IOException {

out.writeLong(id);

out.writeUTF(name);

out.writeLong(age);

}

        

        @Override

public String toString() {

return "id:"+id+" name:"+name+" age:"+age;

}

public long getId() {

return id;

}


public String getName() {

return name;

}


public long getAge() {

return age;

}


}

    代碼二:基於key的比較

    

package cn.com.bonc.hadoop;


import java.io.DataInput;

import java.io.DataOutput;

import java.io.IOException;


import org.apache.hadoop.io.WritableComparable;


public class PersonSortByAge implements WritableComparable<PersonSortByAge>{

long id;

String name;

long age;


@Override

public void readFields(DataInput in) throws IOException {

in.readLong();

in.readUTF();

in.readLong();

}


@Override

public void write(DataOutput out) throws IOException {

out.writeLong(id);

out.writeUTF(name);

out.writeLong(age);

}



@Override

public int compareTo(PersonSortByAge o) {

return (int) (this.id - o.id);

}


@Override

public String toString() {

return "id:"+id+" name:"+name+" age:"+age;

}

}

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