hadoop案例:comparable(排序)
  TEZNKK3IfmPf 2023年11月13日 23 0
 

输入数据

phone_data.txt

1	13736230513	192.196.100.1	www.hadoop.com	2481	24681	200
2	13846544121	192.196.100.2			264	0	200
3 	13956435636	192.196.100.3			132	1512	200
4 	13966251146	192.168.100.1			240	0	404
5 	18271575951	192.168.100.2	www.hadoop.com	1527	2106	200
6 	84188413	192.168.100.3	www.hadoop.com	4116	1432	200
7 	13590439668	192.168.100.4			1116	954	200
8 	15910133277	192.168.100.5	www.hao123.com	3156	2936	200
9 	13729199489	192.168.100.6			240	0	200
10 	13630577991	192.168.100.7	www.shouhu.com	6960	690	200
11 	15043685818	192.168.100.8	www.baidu.com	3659	3538	200
12 	15959002129	192.168.100.9	www.hadoop.com	1938	180	500
13 	13560439638	192.168.100.10			918	4938	200
14 	13470253144	192.168.100.11			180	180	200
15 	13682846555	192.168.100.12	www.qq.com	1938	2910	200
16 	13992314666	192.168.100.13	www.gaga.com	3008	3720	200
17 	13509468723	192.168.100.14	www.qinghua.com	7335	110349	404
18 	18390173782	192.168.100.15	www.sogou.com	9531	2412	200
19 	13975057813	192.168.100.16	www.baidu.com	11058	48243	200
20 	13768778790	192.168.100.17			120	120	200
21 	13568436656	192.168.100.18	www.alibaba.com	2481	24681	200
22 	13568436656	192.168.100.19			1116	954	200

期望结果

hadoop案例:comparable(排序)

需求分析

hadoop案例:comparable(排序)

自定义PhoneFlowBean

package com.mr.compareble;

import org.apache.hadoop.io.WritableComparable;

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


public class PhoneFlowBean implements WritableComparable<PhoneFlowBean> {
     
       

    // 上传流量
    private long upFlow;





    // 下载流量
    private long downFlow;
    // 总流量 = 上传流量+下载流量
    private long sumFlow;
    private long number;



    public PhoneFlowBean() {
     
       
    }

    public PhoneFlowBean(long upFlow, long downFlow) {
     
       
        this.upFlow = upFlow;
        this.downFlow = downFlow;
        this.sumFlow = upFlow + downFlow;
    }

    @Override
    public void write(DataOutput out) throws IOException {
     
       
        out.writeLong(upFlow);
        out.writeLong(downFlow);
        out.writeLong(sumFlow);
    }

    @Override
    public void readFields(DataInput in) throws IOException {
     
       
        this.upFlow = in.readLong();
        this.downFlow = in.readLong();
        this.sumFlow = in.readLong();
    }
    public void setNumber(long number) {
     
       

        this.number = number;
    }
    public long getNumber() {
     
       
        return number;
    }
    public void setUpFlow(long upFlow) {
     
       
        this.upFlow = upFlow;
    }

    public void setDownFlow(long downFlow) {
     
       
        this.downFlow = downFlow;
    }

    public void setSumFlow(long sumFlow) {
     
       
        this.sumFlow = sumFlow;
    }

    public long getUpFlow() {
     
       
        return upFlow;
    }

    public long getDownFlow() {
     
       
        return downFlow;
    }

    public long getSumFlow() {
     
       
        return sumFlow;
    }
    @Override
    public String toString() {
     
       
        return
                "upFlow=" + upFlow +
                ", downFlow=" + downFlow +
                ", sumFlow=" + sumFlow +
                ", number=" + number
                ;
    }

    @Override
    public int compareTo(PhoneFlowBean phoneFlowBean) {
     
       
        // int compare1 = Long.compare(this.upFlow, phoneFlowBean.upFlow);
// int compare = Long.compare(phoneFlowBean.sumFlow, this.sumFlow);
// if (compare == 0) {
     
       
// // return Long.compare(this.upFlow, phoneFlowBean.upFlow);
// return compare1
// }
// else {
     
       
// return compare;
        int result = 0;
        // 按照总流量大小,倒序排列
        if (sumFlow > phoneFlowBean.getSumFlow()) {
     
       
            result = -1;
        } else if (sumFlow < phoneFlowBean.getSumFlow()) {
     
       
            result = 1;
        } else if (sumFlow == phoneFlowBean.getSumFlow()) {
     
       
            if (upFlow > phoneFlowBean.getUpFlow()) {
     
       
                result = -1;
            }
            if (upFlow < phoneFlowBean.getUpFlow()) {
     
       
                result = 1;
            }
            else if (upFlow==0){
     
       
                if (number>phoneFlowBean.getNumber()){
     
       
                    result=-1;
                    if (number<phoneFlowBean.getNumber()){
     
       
                        result=1;
                    }
                }

            }

        } else {
     
       
            result = 0;

        }
        return result;


    }
}




Mapper类

package com.mr.compareble;


import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;

import java.io.IOException;


public class PhoneFlowMapper extends Mapper<LongWritable, Text, PhoneFlowBean, Text> {
     
       

         // 定义对象,防止每次执行map方法重复创建对象
    Text phoneNumberText = new Text();
    PhoneFlowBean phoneFlowBean = new PhoneFlowBean();

    @Override
    protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
     
       
        // 读取每行文本数据,按照分隔符进行切割
        String string = value.toString();
        String[] split = string.split("\t");

        // 抽取手机号,上行和下行流量
        String phoneNumber = split[1];
        String upFlow = split[split.length - 3];
        String downFlow = split[split.length - 2];

       // 组装 flowBean对象
        phoneFlowBean.setNumber(Long.parseLong(phoneNumber));
        phoneFlowBean.setUpFlow(Long.parseLong(upFlow));
        phoneFlowBean.setDownFlow(Long.parseLong(downFlow));
        phoneFlowBean.setSumFlow(Long.parseLong(upFlow) + Long.parseLong(downFlow));

        phoneNumberText.set(phoneNumber);
// FlowBean flowBean = new FlowBean(Long.parseLong(upFlow), Long.parseLong(downFlow));
// 5. 往reducer写出手机号,flowBean对象
        context.write(phoneFlowBean, phoneNumberText);
    }
}

Reducer类

package com.mr.compareble;

import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;

import java.io.IOException;


public class PhoneFlowReducer extends Reducer<PhoneFlowBean, Text, Text, PhoneFlowBean> {
     
       

    // 将创建FlowBean对象的方法提取出来
    PhoneFlowBean phoneFlowBean = new PhoneFlowBean();

    @Override
    protected void reduce(PhoneFlowBean key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
     
       
        for (Text value : values) {
     
       
            context.write(value, key);
        }
    }
}

Driver类

package com.mr.compareble;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import java.io.IOException;


public class PhoneFlowDriver {
     
       
    public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
     
       
        // 0 指定路径
        args = new String[]{
     
       "E:/Hadoop/src/main/resources/input/iphone", "E:/Hadoop/src/main/resources/ouput/compareble"};

// 1 获取配置信息configuration以及封装任务job
        Configuration configuration = new Configuration();
        Job job = Job.getInstance(configuration);

// 2 设置Driver加载路径 setJarByClass
        job.setJarByClass(PhoneFlowDriver.class);

// 3 设置map和reduce类 setMaper setReducer
        job.setMapperClass(PhoneFlowMapper.class);
        job.setReducerClass(PhoneFlowReducer.class);

// 4 设置map输出 setmapoutputkey setmapoutputvalue
        job.setMapOutputKeyClass(PhoneFlowBean.class);
        job.setMapOutputValueClass(Text.class);

// 5 设置最终输出kv类型 (reducer的输出kv类型) setoutoutkey setoutputvalue
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(PhoneFlowBean.class);

// 6 设置本地的输入和输出路径 fileinputformat.setinputpath
        FileInputFormat.setInputPaths(job, new Path(args[0]));
        FileOutputFormat.setOutputPath(job, new Path(args[1]));
// 7 提交
        boolean completion = job.waitForCompletion(true);
        System.exit(completion ? 0 : 1);

    }
}

执行结果

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hadoop案例:comparable(排序)

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