irms模拟数据生成及数据分析

一、数据准备
1、每天生成随机一个文本，每小时向文本中追加2次数据，每次10万条
随机数据生成：
2,32  * * * *  bash /mnt/jediael/irms/signalGenerator/signalGenerator.sh >> /home/jediael/sg.log 2>&1
类：SignalGenerator

2、每天将前一天生成的数据文本导入HDFS
32 0 * * * bash /mnt/jediael/irms/signalGenerator/copySignalToHdfs.sh >>/home/jediael/sg.log 2>&1


二、数据分析
1、每天执行一次数据分析，将结果输出到hdfs文本中。
42 0 * * * bash /mnt/jediael/irms/signalparser/signalParser.sh >>/home/jediael/sg.log 2>&1
类：SignalParser

程序文件：

/mnt/jediael/irms/signalGenerator/signalGenerator.sh

#!/bin/bash
export JAVA_HOME=/usr/java/jdk1.7.0_51
export PATH=$JAVA_HOME/bin:$PATH
export CLASSPATH=$CLASSPATH:/mnt/jediael/irms/signalGenerator/
java SignalGenerator 

/mnt/jediael/irms/signalGenerator/copySignalToHdfs.sh

#!/bin/bash
export JAVA_HOME=/usr/java/jdk1.7.0_51
PATH=/mnt/jediael/hadoop-1.2.1/bin/:/mnt/jediael/hbase-0.94.26/bin:/mnt/jediael/tomcat-7.0.54/bin:$JAVA_HOME/bin:$PATH
hadoop fs -copyFromLocal /mnt/jediael/irms/signalGenerator/`date -d "-1 day" +%Y%m%d`.txt /irms/signal >> sg.log

/mnt/jediael/irms/signalparser/signalParser.sh

#!/bin/bash

export JAVA_HOME=/usr/java/jdk1.7.0_51
PATH=/mnt/jediael/hadoop-1.2.1/bin/:/mnt/jediael/hbase-0.94.26/bin:/mnt/jediael/tomcat-7.0.54/bin:$JAVA_HOME/bin:$PATH
hadoop jar signalgenerator.jar  /irms/signal/`date -d "-1 day" +%Y%m%d`.txt  /irms/result/`date -d "-1 day" +%Y%m%d`

SignalGenerator.java

package com.gmcc.irms.util;

import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.text.SimpleDateFormat;
import java.util.Random;

//此类用于模拟生成信令数据,每次生成100000条

public class SignalGenerator {
// 业务类型，如呼入、呼出、发短信、收短信、上网、WLAN等
private int activeType = 0;

private String getNextSign() {
String sign = "";
Random rand = new Random();
activeType = rand.nextInt(6);
// 主叫号码
String callNum = "1390222" + rand.nextInt(9) + rand.nextInt(9)
+ rand.nextInt(9) + rand.nextInt(9);
// 被叫号码
String beCallNum = "1390222" + rand.nextInt(9) + rand.nextInt(9)
+ rand.nextInt(9) + rand.nextInt(9);
// 时长、或者是流量
String callDuration = "";
for (int i = 0; i <16; i++) {
callDuration += rand.nextInt(9);
}
sign = activeType + callNum + beCallNum + callDuration;
for (int i = 0; i <800; i++) {
sign += rand.nextInt(9);
}
return sign;

}

public static void main(String[] args) throws IOException {

SimpleDateFormat sdf = new SimpleDateFormat("yyyyMMdd");
long time = System.currentTimeMillis();
String fileName = sdf.format(time) + ".txt";
OutputStream os = new FileOutputStream(fileName, true);
SignalGenerator sg = new SignalGenerator();
String newline = System.getProperty("line.separator");

for (int i = 0; i <100000; i++) {
os.write((sg.getNextSign() + newline).getBytes());

}
os.flush();
os.close();

}

}

SignalParser.java

package com.gmcc.irms.signal;

import java.io.IOException;

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;

public class SignalParser {
public static void main(String[] args) throws Exception {

Job job = new Job();
job.setJarByClass(SignalParser.class);
job.setJobName("signal parser");
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.setMapperClass(SignalParserMapper.class);
job.setReducerClass(SignalParserReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}

class SignalParserMapper extends Mapper {

@Override
public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
String line = value.toString();
// 业务类型
String activeType = line.substring(0, 1);
// 主叫电话号码
String customer = line.substring(1, 12);
// 通话时长、web时长、wlan时长
int duration = Integer.parseInt(line.substring(23, 30));

context.write(new Text(customer),new Text(activeType + "," + duration));

}
}

class SignalParserReducer extends Reducer {
@Override
public void reduce(Text key, Iterable values, Context context)
throws IOException, InterruptedException {
//总通话时长
int sumCallDuration = 0;
//通话次数
int callTimes = 0;
//发送短信次数
int smsTimes = 0;
//上网总时长
int sumWebDuration = 0;
//上网次数
int webTimes = 0;
//WLAN总时长
int sumWlanDuration = 0;
//WLAN次数
int wlanTimes = 0;

String[] valueArray = null;
int activeType = -1;
int duration = -1;
for (Text value:values){

valueArray = value.toString().split(",");
System.out.println(valueArray[0]+" a "+valueArray[1]);
activeType = Integer.parseInt(valueArray[0]);
duration = Integer.parseInt(valueArray[1]);
if(activeType == 0){
//呼出
sumCallDuration += duration;
callTimes++;
}else if(activeType == 2){
//发sms
smsTimes++;
}else if(activeType == 4){
//上网
sumWebDuration += duration;
webTimes ++;
}else if(activeType == 5){
//WLAN
sumWlanDuration += duration;
wlanTimes ++;
}else{

}
}


context.write(key, new Text(sumCallDuration + "\t" + callTimes + "\t" +smsTimes+"\t" + sumWebDuration+"\t" + webTimes+"\t" + sumWebDuration+"\t" + webTimes));
}
}