此片博文是上篇博文的拓展进阶部分。
1. 需求
对Web访问日志中的各字段识别切分，去除日志中不合法的记录。根据清洗规则，输出过滤后的数据。
- 1. 输入数据
- 2. 期望输出数据 都是合法的数据
2. 代码实现
- 1. 定义一个bean，用来记录日志数据中的各数据字段
package com.buwenbuhuo.ETLcomplex;
/**
* @author 卜温不火
* @create 2020-04-25 20:08
* com.buwenbuhuo.ETL - the name of the target package where the new class or interface will be created.
* mapreduce0422 - the name of the current project.
*/
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
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append(this.valid);
sb.append(" 01").append(this.remote_addr);
sb.append(" 01").append(this.remote_user);
sb.append(" 01").append(this.time_local);
sb.append(" 01").append(this.request);
sb.append(" 01").append(this.status);
sb.append(" 01").append(this.body_bytes_sent);
sb.append(" 01").append(this.http_referer);
sb.append(" 01").append(this.http_user_agent);
return sb.toString();
}
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;
}
}- 2. 编写LogMapper类
package com.buwenbuhuo.ETLcomplex;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
import java.io.IOException;
/**
* @author 卜温不火
* @create 2020-04-25 20:08
* com.buwenbuhuo.ETL - the name of the target package where the new class or interface will be created.
* mapreduce0422 - the name of the current project.
*/
public class LogMapper extends Mapper<LongWritable, Text, Text, NullWritable> {
private LogBean logBean = new LogBean();
private 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();
parseLog(line);
if (logBean.isValid()) {
k.set(logBean.toString());
context.write(k, NullWritable.get());
context.getCounter("ETL", "True").increment(1);
} else {
context.getCounter("ETL", "False").increment(1);
}
}
private void parseLog(String line) {
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(true);
}
}else {
logBean.setValid(false);
}
}
}- 3. 编写LogDriver类
package com.buwenbuhuo.ETLcomplex;
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;
import java.io.IOException;
/**
* @author 卜温不火
* @create 2020-04-25 20:08
* com.buwenbuhuo.ETL - the name of the target package where the new class or interface will be created.
* mapreduce0422 - the name of the current project.
*/
public class LogDriver {
public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
// 1 获取job信息
Job job = Job.getInstance(new Configuration());
// 2 加载jar包
job.setJarByClass(LogDriver.class);
// 3 关联map
job.setMapperClass(LogMapper.class);
job.setNumReduceTasks(0);
// 4 设置最终输出类型
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(NullWritable.class);
// 5 设置输入和输出路径
FileInputFormat.setInputPaths(job, new Path("d:\input"));
FileOutputFormat.setOutputPath(job, new Path("d:\output"));
boolean b = job.waitForCompletion(true);
System.exit(b ? 0 : 1);
}
}3. 运行及结果
- 1. 运行
- 2. 结果
