1.簡(jiǎn)單解析版
需求:去除日志中字段長(zhǎng)度小于等于11的日志。
輸入數(shù)據(jù)
實(shí)現(xiàn)代碼:
編寫LogMapper
package com.itstar.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;
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 獲取1行數(shù)據(jù)
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 設(shè)置key
k.set(line);
// 5 寫出數(shù)據(jù)
context.write(k, NullWritable.get());
}
// 2 解析日志
private boolean parseLog(String line, Context context) {
// 1 截取
String[] fields = line.split(" ");
// 2 日志長(zhǎng)度大于11的為合法
if (fields.length > 11) {
// 系統(tǒng)計(jì)數(shù)器
context.getCounter("map", "true").increment(1);
return true;
}else {
context.getCounter("map", "false").increment(1);
return false;}}}
編寫LogDriver
package com.itstar.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;
public class LogDriver {
public static void main(String[] args) throws Exception {
? ? ? ? args = new String[] { "e:/input/inputlog", "e:/output1" };
// 1 獲取job信息
Configuration conf = new Configuration();
Job job = Job.getInstance(conf);
// 2 加載jar包
job.setJarByClass(LogDriver.class);
// 3 關(guān)聯(lián)map
job.setMapperClass(LogMapper.class);
// 4 設(shè)置最終輸出類型
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(NullWritable.class);
// 設(shè)置reducetask個(gè)數(shù)為0
job.setNumReduceTasks(0);
// 5 設(shè)置輸入和輸出路徑
FileInputFormat.setInputPaths(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
// 6 提交
job.waitForCompletion(true);}}
2.復(fù)雜解析版
需求
對(duì)web訪問日志中的各字段識(shí)別切分,去除日志中不合法的記錄,根據(jù)統(tǒng)計(jì)需求，生成各類訪問請(qǐng)求過濾數(shù)據(jù)
輸入數(shù)據(jù)
實(shí)現(xiàn)代碼:
定義一個(gè)bean,用來記錄日志數(shù)據(jù)中的各數(shù)據(jù)字段
package com.itstar.mapreduce.log;
public class LogBean {
private String remote_addr;// 記錄客戶端的ip地址
private String remote_user;// 記錄客戶端用戶名稱,忽略屬性"-"
private String time_local;// 記錄訪問時(shí)間與時(shí)區(qū)
private String request;// 記錄請(qǐng)求的url與http協(xié)議
private String status;// 記錄請(qǐng)求狀態(tài)；成功是200
private String body_bytes_sent;// 記錄發(fā)送給客戶端文件主體內(nèi)容大小
private String http_referer;// 用來記錄從那個(gè)頁(yè)面鏈接訪問過來的
private String http_user_agent;// 記錄客戶瀏覽器的相關(guān)信息
private boolean valid = true;// 判斷數(shù)據(jù)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();}}
編寫LogMapper程序
package com.itstar.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 獲取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 輸出
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封裝數(shù)據(jù)
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錯(cuò)誤
if (Integer.parseInt(logBean.getStatus()) >= 400) {
logBean.setValid(false);
}
}else {
logBean.setValid(false);
}
return logBean;}}
編寫LogDriver程序
package com.itstar.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;
public class LogDriver {
public static void main(String[] args) throws Exception {
// 1 獲取job信息
Configuration conf = new Configuration();
Job job = Job.getInstance(conf);
// 2 加載jar包
job.setJarByClass(LogDriver.class);
// 3 關(guān)聯(lián)map
job.setMapperClass(LogMapper.class);
// 4 設(shè)置最終輸出類型
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(NullWritable.class);
// 5 設(shè)置輸入和輸出路徑
FileInputFormat.setInputPaths(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
// 6 提交
job.waitForCompletion(true);}}
