hadoop之mapreduce编程实例(系统日志初步清洗过滤处理)

云计算 来源:zfszhangyuan 48℃ 0评论

刚刚开始接触hadoop的时候,总觉得必须要先安装hadoop集群才能开始学习MR编程,其实并不用这样,当然如果你有条件有机器那最好是自己安装配置一个hadoop集群,这样你会更容易理解其工作原理。我们今天就是要给大家演示如何不用安装hadoop直接调试编程MapReduce函数。

开始之前我们先来理解一下mapreduce的工作原理:

hadoop集群是有DataNode和NameNode两种节点构成,DataNode负责存储数据本身而NameNode负责存储数据的元数据信息,在启动mapreduce任务时,数据首先是通过inputformat模块从集群的文件库中读出,然后按照设定的Splitsize进行Split(默认是一个block大小128MB),通过ReadRecorder(RR)将每个split的数据块按行进行轮询访问结果给到map函数,由map函数按照编程的代码逻辑进行处理,输出key和value。由map到reduce的处理过程中包含三件事情,Combiner(map端的预先处理,相对于map段reduce)Partitioner(负责将map输出数据均衡的分配给reduce)Shulffling&&sort(根据map输出的key进行洗牌和排序,将结果根据partitioner的分配情况传输给指定的reduce),最后reduce按照代码逻辑处理输出结果(也是key,value格式)。

注意:

map阶段的key-value对的格式是由输入的格式所决定的,如果是默认的TextInputFormat,则每行作为一个记录进程处理,其中key为此行的开头相对于文件的起始位置,value就是此行的字符文本
map阶段的输出的key-value对的格式必须同reduce阶段的输入key-value对的格式相对应

下面是wordcount的处理过程大家来理解一下:

现在我们开始我们的本地MR编程吧

首先我们得去官网下载一个hadoop安装包(本文用的hadoop2.6.0版本,不用安装,我们只要包中jars)

下载链接:https://archive.apache.org/dist/hadoop/common/(下载最多的那个就可以了,版本自己选个)

下面就上MR的代码吧:

package loganalysis;
import java.io.IOException;
import java.util.StringTokenizer;
import java.lang.*;
 
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
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 WordCount {
 
  public static class TokenizerMapper 
       extends Mapper<Object, Text, Text, IntWritable>{
 
    private final static IntWritable one = new IntWritable(1);
    private Text word = new Text();
    private String imei = new String();
    private String areacode  = new String();
    private String responsedata = new String();
    private String requesttime = new String();
    private String requestip = new String();

//    map阶段的key-value对的格式是由输入的格式所决定的,如果是默认的TextInputFormat,则每行作为一个记录进程处理,其中key为此行的开头相对于文件的起始位置,value就是此行的字符文本
//    map阶段的输出的key-value对的格式必须同reduce阶段的输入key-value对的格式相对应
    public void map(Object key, Text value, Context context
                    ) throws IOException, InterruptedException {
      //StringTokenizer itr = new StringTokenizer(value.toString());
      
      int areai = value.toString().indexOf("areacode", 21);
      int imeii = value.toString().indexOf("imei", 21);
      int redatai = value.toString().indexOf("responsedata", 21);
      int retimei = value.toString().indexOf("requesttime", 21);
      int reipi = value.toString().indexOf("requestip", 21);
      
      if (areai==-1)
      { areacode=""; }
      else
      {
      areacode=value.toString().substring(areai+11);
      int len2=areacode.indexOf("\"");
      if(len2 <= 1)
        {
    	  areacode="";
        }
      else 
        {
    	  areacode=areacode.substring(0,len2);
        }
      
      }
      if (imeii==-1)
      { imei=""; }
      else
      {
    	  imei=value.toString().substring(imeii+9);
      int len2=imei.indexOf("\\");
      if(len2 <= 1)
        {
    	  imei="";
        }
      else 
        {
    	  imei=imei.substring(0,len2);
        }
      
      }
     
      
      if (redatai==-1)
      { responsedata=""; }
      else
      {
    	  responsedata=value.toString().substring(redatai+15);
      int len2=responsedata.indexOf("\"");
      if(len2 <= 1)
        {
    	  responsedata="";
        }
      else 
        {
    	  responsedata=responsedata.substring(0,len2);
        }
      
      }
      
      
      if (retimei==-1)
      { requesttime=""; }
      else
      {
    	  requesttime=value.toString().substring(retimei+14);
      int len2=requesttime.indexOf("\"");
      if(len2 <= 1)
        {
    	  requesttime="";
        }
      else 
        {
    	  requesttime=requesttime.substring(0,len2);
        }
      
      }
      
      if (reipi==-1)
      { requestip=""; }
      else
      {
    	  requestip=value.toString().substring(reipi+12);
      int len2=requestip.indexOf("\"");
      if(len2 <= 1)
        {
    	  requestip="";
        }
      else 
        {
    	  requestip=requestip.substring(0,len2);
        }
      
      }
     /* while (itr.hasMoreTokens()) {
    	  string tim;
    	  
        word.set(itr.nextToken());
        context.write(word, one);
      }*/
     if(imei!=""&&areacode!=""&&responsedata!=""&&requesttime!=""&&requestip!="")
     {
       String wd=new String();
       wd=imei+"\t"+areacode+"\t"+responsedata+"\t"+requesttime+"\t"+requestip;
       //wd="areacode|"+areacode +"|imei|"+ imei +"|responsedata|"+ responsedata +"|requesttime|"+ requesttime +"|requestip|"+ requestip;
       word.set(wd);
       context.write(word, one);
     }

    }
  }
 
  public static class IntSumReducer 
       extends Reducer<Text,IntWritable,Text,IntWritable> {
    private IntWritable result = new IntWritable();
 
    public void reduce(Text key, Iterable values, 
                       Context context
                       ) throws IOException, InterruptedException {
      int sum = 0;
      for (IntWritable val : values) {
        sum += val.get();
      }
      result.set(sum);
      context.write(key, result);
    }
  }
 
  public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
  //  String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    String[] otherArgs=new String[]{"/Users/mac/tmp/inputmr","/Users/mac/tmp/output1"};
    
    if (otherArgs.length != 2) {
      System.err.println("Usage: wordcount  ");
      System.exit(2);
    }
    
	//Job job = new Job(conf, "word count");
    Job job = Job.getInstance(conf);
    
    job.setJarByClass(WordCount.class);
    job.setMapperClass(TokenizerMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
  }
}
主要以上除了jdk1.7其他的jar包都来自hadoop安装包中的share文件下下面

 

如果你不知道那些包需要那就将share\hadoop\下面的所以得jar包都添加到项目中

注意:我的电脑是mac pro如果你的是Windows机器相关的路径需要修改一下,前面加上“file:///”( file:///D:\tmp\input file:///D:\tmp\output)

 String[] otherArgs=new String[]{"file:///D:\tmp\input","file:///D:\tmp\output"};
这个程序核心代码都是在map中,主要做了系统日志中相关核心字段的提取并拼接以key形式返回给reduce,value都是设置为1,是为了方便以后的统计。因为是实例所以简单的弄了几个字段,实际可不止这些。

下面给下测试的系统日志:

2016-04-18 16:00:00 {"areacode":"浙江省丽水市","countAll":0,"countCorrect":0,"datatime":"4134362","logid":"201604181600001184409476","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966390499\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"100\",\"imei\":\"12345678900987654321\",\"subjectNum\":\"13989589062\",\"imsi\":\"12345678900987654321\",\"queryNum\":\"13989589062\"}","requestip":"36.16.128.234","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
2016-04-18 16:00:00 {"areacode":"宁夏银川市","countAll":0,"countCorrect":0,"datatime":"4715990","logid":"201604181600001858043208","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966400120\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"1210\",\"imei\":\"A0000044ABFD25\",\"subjectNum\":\"15379681917\",\"imsi\":\"460036951451601\",\"queryNum\":\"\"}","requestip":"115.168.93.87","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果","userAgent":"ZTE-Me/Mobile"}
2016-04-18 16:00:00 {"areacode":"黑龙江省哈尔滨市","countAll":0,"countCorrect":0,"datatime":"5369561","logid":"201604181600001068429609","requestinfo":"{\"interfaceUserName\":\"12345678900987654321\",\"queryNum\":\"\",\"timestamp\":\"1460966400139\",\"sign\":\"4\",\"imsi\":\"460030301212545\",\"imei\":\"35460207765269\",\"subjectNum\":\"55588237\",\"subjectPro\":\"123456\",\"remark\":\"4\",\"channelno\":\"2100\"}","requestip":"42.184.41.180","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
2016-04-18 16:00:00 {"areacode":"浙江省丽水市","countAll":0,"countCorrect":0,"datatime":"4003096","logid":"201604181600001648238807","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966391025\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"100\",\"imei\":\"12345678900987654321\",\"subjectNum\":\"13989589062\",\"imsi\":\"12345678900987654321\",\"queryNum\":\"13989589062\"}","requestip":"36.16.128.234","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
2016-04-18 16:00:00 {"areacode":"广西南宁市","countAll":0,"countCorrect":0,"datatime":"4047993","logid":"201604181600001570024205","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966382871\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"1006\",\"imei\":\"A000004853168C\",\"subjectNum\":\"07765232589\",\"imsi\":\"460031210400007\",\"queryNum\":\"13317810717\"}","requestip":"219.159.72.3","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
2016-04-18 16:00:00 {"areacode":"海南省五指山市","countAll":0,"countCorrect":0,"datatime":"5164117","logid":"201604181600001227842048","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966399159\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"1017\",\"imei\":\"A000005543AFB7\",\"subjectNum\":\"089836329061\",\"imsi\":\"460036380954376\",\"queryNum\":\"13389875751\"}","requestip":"140.240.171.71","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
2016-04-18 16:00:00 {"areacode":"山西省","countAll":0,"countCorrect":0,"datatime":"14075772","logid":"201604181600001284030648","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966400332\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"1006\",\"imei\":\"A000004FE0218A\",\"subjectNum\":\"03514043633\",\"imsi\":\"460037471517070\",\"queryNum\":\"\"}","requestip":"1.68.5.227","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
2016-04-18 16:00:00 {"areacode":"四川省","countAll":0,"countCorrect":0,"datatime":"6270982","logid":"201604181600001173504863","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966398896\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"100\",\"imei\":\"12345678900987654321\",\"subjectNum\":\"13666231300\",\"imsi\":\"12345678900987654321\",\"queryNum\":\"13666231300\"}","requestip":"182.144.66.97","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}
2016-04-18 16:00:00 {"areacode":"浙江省","countAll":0,"countCorrect":0,"datatime":"4198522","logid":"201604181600001390637240","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966399464\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"100\",\"imei\":\"12345678900987654321\",\"subjectNum\":\"05533876327\",\"imsi\":\"12345678900987654321\",\"queryNum\":\"05533876327\"}","requestip":"36.23.9.49","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"000000","responsedata":"操作成功"}
2016-04-18 16:00:00 {"areacode":"江苏省连云港市","countAll":0,"countCorrect":0,"datatime":"4408097","logid":"201604181600001249944032","requestinfo":"{\"sign\":\"4\",\"timestamp\":\"1460966395908\",\"remark\":\"4\",\"subjectPro\":\"123456\",\"interfaceUserName\":\"12345678900987654321\",\"channelno\":\"100\",\"imei\":\"12345678900987654321\",\"subjectNum\":\"18361451463\",\"imsi\":\"12345678900987654321\",\"queryNum\":\"18361451463\"}","requestip":"58.223.4.210","requesttime":"2016-04-18 16:00:00","requesttype":"0","responsecode":"010005","responsedata":"无查询结果"}

最后给出运行结果截图: