Hadoop 电话通信清单

时间:2023-03-09 01:28:38
Hadoop 电话通信清单

一、实例要求

  现有一批电话通信清单,记录了用户A拨打某些特殊号码(如120,10086,13800138000等)的记录。需要做一个统计结果,记录拨打给用户B的所有用户A。

二、测试样例

  样例输入:

  file.txt:

  13599999999 10086
  13899999999 120
  13944444444 1380013800
  13722222222 1380013800
  18800000000 120
  13722222222 10086
  18944444444 10086

  样例输出:

  Hadoop 电话通信清单

三、算法思路

  源文件——》Mapper(分隔原始数据,以被叫作为key,以主叫作为value)——》Reducer(把拥有相同被叫的主叫号码用|分隔汇总)——》输出到HDFS

四、程序代码

  程序代码如下:

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.GenericOptionsParser; public class Tel { public static class Map extends Mapper<LongWritable, Text, Text, Text>{
@Override
protected void map(LongWritable key, Text value,Mapper<LongWritable, Text, Text, Text>.Context context)
throws IOException, InterruptedException {
// super.map(key, value, context);
String line = value.toString();
Text word = new Text();
String [] lineSplite = line.split(" ");
String anum = lineSplite[0];
String bnum = lineSplite[1];
context.write(new Text(bnum), new Text(anum));
}
} public static class Reduce extends Reducer<Text, Text, Text, Text>{
@Override
protected void reduce(Text key, Iterable<Text> values,Reducer<Text, Text, Text, Text>.Context context)
throws IOException, InterruptedException {
// super.reduce(arg0, arg1, arg2);
String valueString;
String out ="";
for(Text value: values){
valueString=value.toString();
out += valueString+"|";
}
context.write(key, new Text(out));
}
} public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
Configuration conf = new Configuration();
String[] otherArgs = new GenericOptionsParser(conf,args).getRemainingArgs();
if(otherArgs.length!=2){
System.out.println("Usage:wordcount <in> <out>");
System.exit(2);
}
Job job = new Job(conf,"Tel");
job.setJarByClass(Tel.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
job.setMapperClass(Map.class);
job.setReducerClass(Reduce.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.waitForCompletion(true);
} }