MapReduce实战之日志清洗案例

package com.atguigu.mapreduce.weblog;
import java.io.IOException;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
 
publicclass LogMapper extends Mapper<LongWritable, Text, Text, NullWritable>{
      
       Text k = new Text();
      
       @Override
       protectedvoid map(LongWritable key, Text value, Context context)
                     throws IOException, InterruptedException {
             
              // 1 获取1行数据
              String line = value.toString();
             
              // 2 解析日志
              boolean result = parseLog(line,context);
             
              // 3 日志不合法退出
              if (!result) {
                     return;
              }
             
              // 4 设置key
              k.set(line);
             
              // 5 写出数据
              context.write(k, NullWritable.get());
       }
 
       // 2 解析日志
       privateboolean parseLog(String line, Context context) {
              // 1 截取
              String[] fields = line.split(" ");
             
              // 2 日志长度大于11的为合法
              if (fields.length > 11) {
                     // 系统计数器
                     context.getCounter("map", "true").increment(1);
                     returntrue;
              }else {
                     context.getCounter("map", "false").increment(1);
                     returnfalse;
              }
       }
}

package com.atguigu.mapreduce.weblog;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.NullWritable;
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;
 
publicclass LogDriver {
 
       publicstaticvoid main(String[] args) throws Exception {
 
        args = new String[] { "e:/input/inputlog", "e:/output1" };
 
              // 1 获取job信息
              Configuration conf = new Configuration();
              Job job = Job.getInstance(conf);
 
              // 2 加载jar包
              job.setJarByClass(LogDriver.class);
 
              // 3 关联map
              job.setMapperClass(LogMapper.class);
 
              // 4 设置最终输出类型
              job.setOutputKeyClass(Text.class);
              job.setOutputValueClass(NullWritable.class);
 
              // 设置reducetask个数为0
              job.setNumReduceTasks(0);
 
              // 5 设置输入和输出路径
              FileInputFormat.setInputPaths(job, new Path(args[0]));
              FileOutputFormat.setOutputPath(job, new Path(args[1]));
 
              // 6 提交
              job.waitForCompletion(true);
       }
}

package com.atguigu.mapreduce.log;
 
public class LogBean {
       private String remote_addr;// 记录客户端的ip地址
       private String remote_user;// 记录客户端用户名称,忽略属性"-"
       private String time_local;// 记录访问时间与时区
       private String request;// 记录请求的url与http协议
       private String status;// 记录请求状态；成功是200
       private String body_bytes_sent;// 记录发送给客户端文件主体内容大小
       private String http_referer;// 用来记录从那个页面链接访问过来的
       private String http_user_agent;// 记录客户浏览器的相关信息
 
       private boolean valid = true;// 判断数据是否合法
 
       public String getRemote_addr() {
              return remote_addr;
       }
 
       public void setRemote_addr(String remote_addr) {
              this.remote_addr = remote_addr;
       }
 
       public String getRemote_user() {
              return remote_user;
       }
 
       public void setRemote_user(String remote_user) {
              this.remote_user = remote_user;
       }
 
       public String getTime_local() {
              return time_local;
       }
 
       public void setTime_local(String time_local) {
              this.time_local = time_local;
       }
 
       public String getRequest() {
              return request;
       }
 
       public void setRequest(String request) {
              this.request = request;
       }
 
       public String getStatus() {
              return status;
       }
 
       public void setStatus(String status) {
              this.status = status;
       }
 
       public String getBody_bytes_sent() {
              return body_bytes_sent;
       }
 
       public void setBody_bytes_sent(String body_bytes_sent) {
              this.body_bytes_sent = body_bytes_sent;
       }
 
       public String getHttp_referer() {
              return http_referer;
       }
 
       public void setHttp_referer(String http_referer) {
              this.http_referer = http_referer;
       }
 
       public String getHttp_user_agent() {
              return http_user_agent;
       }
 
       public void setHttp_user_agent(String http_user_agent) {
              this.http_user_agent = http_user_agent;
       }
 
       public boolean isValid() {
              return valid;
       }
 
       public void setValid(boolean valid) {
              this.valid = valid;
       }
 
       @Override
       public String toString() {
              StringBuilder sb = new StringBuilder();
              sb.append(this.valid);
              sb.append("\001").append(this.remote_addr);
              sb.append("\001").append(this.remote_user);
              sb.append("\001").append(this.time_local);
              sb.append("\001").append(this.request);
              sb.append("\001").append(this.status);
              sb.append("\001").append(this.body_bytes_sent);
              sb.append("\001").append(this.http_referer);
              sb.append("\001").append(this.http_user_agent);
             
              return sb.toString();
       }
}

package com.atguigu.mapreduce.log;
import java.io.IOException;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
 
public class LogMapper extends Mapper<LongWritable, Text, Text, NullWritable>{
       Text k = new Text();
      
       @Override
       protected void map(LongWritable key, Text value, Context context)
                     throws IOException, InterruptedException {
              // 1 获取1行
              String line = value.toString();
             
              // 2 解析日志是否合法
              LogBean bean = pressLog(line);
             
              if (!bean.isValid()) {
                     return;
              }
             
              k.set(bean.toString());
             
              // 3 输出
              context.write(k, NullWritable.get());
       }
 
       // 解析日志
       private LogBean pressLog(String line) {
              LogBean logBean = new LogBean();
             
              // 1 截取
              String[] fields = line.split(" ");
             
              if (fields.length > 11) {
                     // 2封装数据
                     logBean.setRemote_addr(fields[0]);
                     logBean.setRemote_user(fields[1]);
                     logBean.setTime_local(fields[3].substring(1));
                     logBean.setRequest(fields[6]);
                     logBean.setStatus(fields[8]);
                     logBean.setBody_bytes_sent(fields[9]);
                     logBean.setHttp_referer(fields[10]);
                    
                     if (fields.length > 12) {
                            logBean.setHttp_user_agent(fields[11] + " "+ fields[12]);
                     }else {
                            logBean.setHttp_user_agent(fields[11]);
                     }
                    
                     // 大于400，HTTP错误
                     if (Integer.parseInt(logBean.getStatus()) >= 400) {
                            logBean.setValid(false);
                     }
              }else {
                     logBean.setValid(false);
              }
             
              return logBean;
       }
}

package com.atguigu.mapreduce.log;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.NullWritable;
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;
 
publicclass LogDriver {
       publicstaticvoid main(String[] args) throws Exception {
              // 1 获取job信息
              Configuration conf = new Configuration();
              Job job = Job.getInstance(conf);
 
              // 2 加载jar包
              job.setJarByClass(LogDriver.class);
 
              // 3 关联map
              job.setMapperClass(LogMapper.class);
 
              // 4 设置最终输出类型
              job.setOutputKeyClass(Text.class);
              job.setOutputValueClass(NullWritable.class);
 
              // 5 设置输入和输出路径
              FileInputFormat.setInputPaths(job, new Path(args[0]));
              FileOutputFormat.setOutputPath(job, new Path(args[1]));
 
              // 6 提交
              job.waitForCompletion(true);
       }
}