一、需求
針對log日誌中給定的信息，統計網站中不同省份用戶的訪問數
二、編程代碼
package org.apache.hadoop.studyhdfs.mapreduce;import java.io.IOException;import org.apache.commons.lang.StringUtils;import org.apache.hadoop.conf.Configuration;import org.apache.hadoop.conf.Configured;import org.apache.hadoop.fs.Path;import org.apache.hadoop.io.IntWritable;import org.apache.hadoop.io.LongWritable;import org.apache.hadoop.io.Text;import org.apache.hadoop.mapreduce.Job;import org.apache.hadoop.mapreduce.Mapper;import org.apache.hadoop.mapreduce.Mapper.Context;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.Tool;import org.apache.hadoop.util.ToolRunner;import org.jboss.netty.util.internal.StringUtil;public class ProvinceCountMapReduce extends Configured implements Tool {//1.map/** <KEYIN,VALUEIN,KEYOUT,VALUEOUT>*/public static class WordCountMapper extends Mapper<LongWritable,Text,IntWritable,IntWritable>{private IntWritable mapOutputKey =new IntWritable();private IntWritable mapOutputValue =new IntWritable(1);@Overridepublic void map(LongWritable key, Text value, Context context)throws IOException, InterruptedException {//get lineValueString lineValue =value.toString();//splitString[] strs =lineValue.split("/t");//line blankString url=strs[1];String provinceIdValue =strs[23];//guolvif(strs.length < 30 || StringUtils.isBlank(provinceIdValue) || StringUtils.isBlank(url)){return; }int provinceId =Integer.MAX_VALUE;try {provinceId=Integer.valueOf(provinceIdValue);} catch (Exception e) {return;}if(provinceId == Integer.MAX_VALUE){return;}mapOutputKey.set(provinceId);context.write(mapOutputKey, mapOutputValue);}}//2.reducepublic static class WordCountReduce extends Reducer<IntWritable,IntWritable,IntWritable,IntWritable>{private IntWritable outputValue =new IntWritable();@Overridepublic void reduce(IntWritable key, Iterable<IntWritable> values,Context context)throws IOException, InterruptedException {//to doint sum = 0;for(IntWritable value:values){sum +=value.get();}outputValue.set(sum);context.write(key, outputValue);}}public int run(String[] args) throws Exception{//1.get ConfigurationConfiguration conf =super.getConf();//2.create jobJob job =Job.getInstance(conf, this.getClass().getSimpleName());job.setJarByClass(ProvinceCountMapReduce.class);//3.set job//3.1 set inputPath inputPath =new Path(args[0]);FileInputFormat.addInputPath(job, inputPath);//3.2 set mapperjob.setMapperClass(WordCountMapper.class);job.setMapOutputKeyClass(IntWritable.class);job.setMapOutputValueClass(IntWritable.class);//3.3 set reducejob.setReducerClass(WordCountReduce.class);job.setOutputKeyClass(IntWritable.class);job.setOutputValueClass(IntWritable.class);//3.4 set inputPath outputPath =new Path(args[1]);FileOutputFormat.setOutputPath(job, outputPath);//4.submmitboolean isSuccess =job.waitForCompletion(true);return isSuccess?0:1;}public static void main(String[] args) throws Exception {args =new String[]{"hdfs://Hadoop-senior02.beifeng.com:8020/input/2015082818","hdfs://Hadoop-senior02.beifeng.com:8020/output15/"};Configuration conf =new Configuration();conf.set("mapreduce.map.output.compress", "true");int status=ToolRunner.run(conf, new ProvinceCountMapReduce() , args);System.exit(status);}} 3、運行結果
1）運行代碼：bin/hdfs dfs -text /output15/par*
2）運行結果：
1 3527
2 1672
3 511
4 325
5 776
6 661
7 95
8 80
9 183
10 93
11 135
12 289
13 264
14 374
15 163
16 419
17 306
18 272
19 226
20 2861
21 124
22 38
23 96
24 100
25 20
26 157
27 49
28 21
29 85
30 42
32 173
以上所述是小編給大家介紹的Java代碼統計網站中不同省份用戶的訪問數的相關介紹，希望對大家有所幫助，在此小編也非常感謝大家對武林網網站的支持！