MapReduce和Partition 根据部门编号分区，根据 薪水+补贴 降序排列

MapReduce和Partition 根据部门编号分区，根据 薪水+补贴 降序排列 根据部门编号分区，根据 薪水+补贴 降序排列

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提取文件：https://pan.baidu.com/s/1kG7WvALT-ys24GPbDC8XgQ
提取码：dt5a

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目录

• 根据部门编号分区，根据 薪水+补贴 降序排列
• • 一、MapReduce和Partition部分：
  • 二、Employee类：

数据字段依次为：员工编号，名字，职业，上级编号，日期，薪水，补贴，部门编号

代码分为两部分：（更改类名带入即可直接使用，注释文中均有注意查看）

一、MapReduce和Partition部分：

package com.Partition;

import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.mapreduce.Partitioner;
import java.io.IOException;

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

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;

import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import org.apache.hadoop.mapreduce.Reducer;


public class EmploPartition {


    public static class EmpPartionMapper extends Mapper {
        @Override
        protected void map(LongWritable key1, Text value1, Context context) throws IOException, InterruptedException {
// 数据：7654,MARTIN,SALESMAN,7698,1981/9/28,1250,1400,30
            String data = value1.toString();

//分词
            String[] words = data.split("t");
            Double comms = 0.0;
            if (words[6].equals("")){       //判断奖金项 是否为空
                comms = Double.valueOf(0);   //返回一个0 对象
            }else {
                comms = Double.parseDouble(words[6]);
            }
                //添加 部门号 , 整行值, 薪资, 奖金,
            Employee employee = new Employee(Integer.parseInt(words[7]),value1.toString(),Double.parseDouble(words[5]),comms);

            context.write(employee,NullWritable.get());
        }
    }

    //实现分区的逻辑：按照部门号进行分区
    public static class MyEmployeePartitioner extends Partitioner {

        @Override
        public int getPartition(Employee longWritable, NullWritable employee, int numPartitions) {
            // 建立自己的分区规则：按照部门号进行分区
// 参数： numParts 分区的个数，需要在主程序中的job中设置
            int deptno = longWritable.getDeptno();   //获取Employee种的deptno
            String detpnos =String.valueOf(deptno);     //deptno转为字符串 用于equals()比较

            int partition;

            if ("10".equals(detpnos)) {
//10号部门的员工，分到0号区中
                partition = 0;
            } else if ("20".equals(detpnos)) {
//20号部门的员工，分到1号区中
                partition = 1;
            } else if ("30".equals(detpnos)) {
//30号部门的员工，分到2号区
                partition = 2;
            } else {
                partition = 3;
            }
            return partition;
        }
    }

    //把分区后的数据写到HDFS：按照相同部门号输出                                                                                                                         k4: 员工号    v4 员工信息
    public static class EmpPartionReducer extends Reducer {
        @Override
        protected void reduce(Employee k3, Iterable v3, Context context) throws IOException, InterruptedException {

            //for (NullWritable e : v3) {
                context.write(new Text(k3.getHiredate()),NullWritable.get());
            //}
        }
    }

    public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
        // 创建一个任务job = map + reduce
        Job job = Job.getInstance(new Configuration());
//指定任务的入口
        job.setJarByClass(EmploPartition.class);

//指定任务的Map和输出的数据类型
        job.setMapperClass(EmpPartionMapper.class);
        job.setMapOutputKeyClass(Employee.class);//员工号
        job.setMapOutputValueClass(NullWritable.class);//员工对象

//设置任务的分区规则
        job.setPartitionerClass(MyEmployeePartitioner.class);
//指定分区的个数
        job.setNumReduceTasks(4);


//指定任务的Reduce和输出的数据类型
        job.setReducerClass(EmpPartionReducer.class);
        job.setOutputKeyClass(Text.class);//员工号
        job.setOutputValueClass(NullWritable.class); // 员工对象

//指定输入和输出的HDFS路径
        String inpath="./datas/emp.txt";
        String outpath="./output009";
        FileInputFormat.addInputPath(job,new Path(inpath));
        FileOutputFormat.setOutputPath(job,new Path(outpath));

        FileSystem fs = FileSystem.get(new Configuration());
        if (fs.exists(new Path(outpath))) {
            fs.delete(new Path(outpath),true);  //第一个参数 删除路径文件； 第二个参数  递归删除路径下的所有文件 true开启  false 关闭
        }
//提交任务
        job.waitForCompletion(true);
    }
    }

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二、Employee类：

package com.Partition;

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

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


//员工类: 7654,MARTIN,SALESMAN,7698,1981/9/28,1250,1400,30
public class Employee implements WritableComparable {

    private String hiredate;// 定义字符串对象，在MapReduce种用于接收其余的字段
    private double sal;//月薪
    private double comm;//奖金
    private int deptno;// 部门号


    public Employee() {     //空参构造
    }


    public Employee(int deptno,String hiredate,Double sal,Double comm) {
//        this.name = name;
//        this.cls = cls;
//        this.score = score;
        this.sal=sal;
        this.comm=comm;
        this.deptno=deptno;
        this.hiredate = hiredate;
    }


    @Override
    public void write(DataOutput output) throws IOException {
// 序列化：把对象输出
        output.writeUTF(this.hiredate);
        output.writeDouble(this.sal);
        output.writeDouble(this.comm);
        output.writeInt(this.deptno);
    }


    @Override
//    比较器
    public int compareTo(Employee o) {
       return this.sal+this.comm>o.sal+o.comm?-1:1;

    }

    @Override
    public void readFields(DataInput input) throws IOException {
// 反序列化：把对象读入

        this.hiredate = input.readUTF();
        this.sal = input.readDouble();
        this.comm = input.readDouble();
        this.deptno = input.readInt();
    }



    public String getHiredate() {
        return hiredate;
    }
    public void setHiredate(String hiredate) {
        this.hiredate = hiredate;
    }
    public double getSal() {
        return sal;
    }
    public void setSal(Double sal) {
        this.sal = sal;
    }
    public double getComm() {
        return comm;
    }
    public void setComm(double comm) {
        this.comm = comm;
    }
    public int getDeptno() {
        return deptno;
    }
    public void setDeptno(int deptno) {
        this.deptno = deptno;
    }

    @Override
    public String toString() {
        return hiredate;
    }

}