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Hadoop经典案例Spark实现（一）——通过采集的气象数据分析每年的最高温度
Hadoop经典案例Spark实现（五）——求最大最小值问题
Hadoop经典案例Spark实现（六）——求最大的K个值并排序
Hadoop经典案例Spark实现（七）——日志分析：分析非结构化文件
1、需求：根据tomcat日志计算url访问了情况，具体的url如下，
要求：区别统计GET和POST URL访问量
结果为：访问方式、URL、访问量
测试数据集：
196.168.2.1 - - [03/Jul/2014:23:36:38 +0800] "GET /course/detail/3.htm HTTP/1.0" 200 38435 0.038 182.131.89.195 - - [03/Jul/2014:23:37:43 +0800] "GET /html/notes/20140617/888.html HTTP/1.0" 301 - 0.000 196.168.2.1 - - [03/Jul/2014:23:38:27 +0800] "POST /service/notes/addViewTimes_23.htm HTTP/1.0" 200 2 0.003 196.168.2.1 - - [03/Jul/2014:23:39:03 +0800] "GET /html/notes/20140617/779.html HTTP/1.0" 200 69539 0.046 196.168.2.1 - - [03/Jul/2014:23:43:00 +0800] "GET /html/notes/20140318/24.html HTTP/1.0" 200 67171 0.049 196.168.2.1 - - [03/Jul/2014:23:43:59 +0800] "POST /service/notes/addViewTimes_779.htm HTTP/1.0" 200 1 0.003 196.168.2.1 - - [03/Jul/2014:23:45:51 +0800] "GET /html/notes/20140617/888.html HTTP/1.0" 200 70044 0.060 196.168.2.1 - - [03/Jul/2014:23:46:17 +0800] "GET /course/list/73.htm HTTP/1.0" 200 12125 0.010 196.168.2.1 - - [03/Jul/2014:23:46:58 +0800] "GET /html/notes/20140609/542.html HTTP/1.0" 200 94971 0.077 196.168.2.1 - - [03/Jul/2014:23:48:31 +0800] "POST /service/notes/addViewTimes_24.htm HTTP/1.0" 200 2 0.003 196.168.2.1 - - [03/Jul/2014:23:48:34 +0800] "POST /service/notes/addViewTimes_542.htm HTTP/1.0" 200 2 0.003 196.168.2.1 - - [03/Jul/2014:23:49:31 +0800] "GET /notes/index-top-3.htm HTTP/1.0" 200 53494 0.041 196.168.2.1 - - [03/Jul/2014:23:50:55 +0800] "GET /html/notes/20140609/544.html HTTP/1.0" 200 183694 0.076 196.168.2.1 - - [03/Jul/2014:23:53:32 +0800] "POST /service/notes/addViewTimes_544.htm HTTP/1.0" 200 2 0.004 196.168.2.1 - - [03/Jul/2014:23:54:53 +0800] "GET /service/notes/addViewTimes_900.htm HTTP/1.0" 200 151770 0.054 196.168.2.1 - - [03/Jul/2014:23:57:42 +0800] "GET /html/notes/20140620/872.html HTTP/1.0" 200 52373 0.034 196.168.2.1 - - [03/Jul/2014:23:58:17 +0800] "POST /service/notes/addViewTimes_900.htm HTTP/1.0" 200 2 0.003 196.168.2.1 - - [03/Jul/2014:23:58:51 +0800] "GET /html/notes/20140617/888.html HTTP/1.0" 200 70044 0.057 186.76.76.76 - - [03/Jul/2014:23:48:34 +0800] "POST /service/notes/addViewTimes_542.htm HTTP/1.0" 200 2 0.003 186.76.76.76 - - [03/Jul/2014:23:46:17 +0800] "GET /course/list/73.htm HTTP/1.0" 200 12125 0.010 8.8.8.8 - - [03/Jul/2014:23:46:58 +0800] "GET /html/notes/20140609/542.html HTTP/1.0" 200 94971 0.077
由于Tomcat日志是不规则的，需要先过滤清洗数据。
2、Hadoop之MapReduce实现：
Map类
import java.io.IOException;
import javax.naming.spi.DirStateFactory.Result;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
public class LogMapper extends Mapper<LongWritable, Text, Text, IntWritable> {
private IntWritable val = new IntWritable(1);
@Override
protected void map(LongWritable key, Text value,Context context)
throws IOException, InterruptedException {
String line = value.toString().trim();
String tmp = handlerLog(line);
if(tmp.length()>0){
context.write(new Text(tmp), val);
}
}
//127.0.0.1 - - [03/Jul/2014:23:36:38 +0800] "GET /course/detail/3.htm HTTP/1.0" 200 38435 0.038
private String handlerLog(String line){
String result = "";
try{
if(line.length()>20){
if(line.indexOf("GET")>0){
result = line.substring(line.indexOf("GET"), line.indexOf("HTTP/1.0")).trim();
}else if(line.indexOf("POST")>0){
result = line.substring(line.indexOf("POST"), line.indexOf("HTTP/1.0")).trim();
}
}
}catch (Exception e) {
System.out.println(line);
}
return result;
}
public static void main(String[] args){
String line = "127.0.0.1 - - [03/Jul/2014:23:36:38 +0800] \"GET /course/detail/3.htm HTTP/1.0\" 200 38435 0.038";
System.out.println(new LogMapper().handlerLog(line));
}
}
Reduce类
import java.io.IOException;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
public class LogReducer extends Reducer<Text, IntWritable, Text, IntWritable> {
@Override
protected void reduce(Text key, Iterable<IntWritable> values,Context context)
throws IOException, InterruptedException {
int sum = 0;
for(IntWritable val : values){
sum += val.get();
}
context.write(key, new IntWritable(sum));
}
}
启动类
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
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.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
public class JobMain {
/**
* @param args
*/
public static void main(String[] args)throws Exception {
Configuration configuration = new Configuration();
Job job = new Job(configuration,"log_job");
job.setJarByClass(JobMain.class);
job.setMapperClass(LogMapper.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(IntWritable.class);
job.setReducerClass(LogReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
Path path = new Path(args[1]);
FileSystem fs = FileSystem.get(configuration);
if(fs.exists(path)){
fs.delete(path, true);
}
FileOutputFormat.setOutputPath(job, path);
System.exit(job.waitForCompletion(true)?0:1);
}
}
3、Spark实现之Scala版本
//textFile() 加载数据
val data = sc.textFile("/spark/seven.txt")
//filter 过滤长度小于0， 过滤不包含GET与POST的URL
val filtered = data.filter(_.length()>0).filter( line => (line.indexOf("GET")>0 || line.indexOf("POST")>0) )
//转换成键值对操作
val res = filtered.map( line => {
if(line.indexOf("GET")>0){ //截取 GET 到URL的字符串
(line.substring(line.indexOf("GET"),line.indexOf("HTTP/1.0")).trim,1)
}else{ //截取 POST 到URL的字符串
(line.substring(line.indexOf("POST"),line.indexOf("HTTP/1.0")).trim,1)
}//最后通过reduceByKey求sum
}).reduceByKey(_+_)
//触发action事件执行
res.collect()
Scala函数式编程的代码简洁且优雅，在JDK1.8之后的也会有类似的新特性。
对比输出结果与MR是一致的
(POST /service/notes/addViewTimes_779.htm,1), (GET /service/notes/addViewTimes_900.htm,1), (POST /service/notes/addViewTimes_900.htm,1), (GET /notes/index-top-3.htm,1), (GET /html/notes/20140318/24.html,1), (GET /html/notes/20140609/544.html,1), (POST /service/notes/addViewTimes_542.htm,2), (POST /service/notes/addViewTimes_544.htm,1), (GET /html/notes/20140609/542.html,2), (POST /service/notes/addViewTimes_23.htm,1), (GET /html/notes/20140617/888.html,3), (POST /service/notes/addViewTimes_24.htm,1), (GET /course/detail/3.htm,1), (GET /course/list/73.htm,2), (GET /html/notes/20140617/779.html,1), (GET /html/notes/20140620/872.html,1)
时间： 2024-02-19 03:25:28