标签：hadoop读书笔记 mapreduce mapreduce自定义数据类型 demo
Hadoop读书笔记（一）Hadoop介绍：http://blog.csdn.net/caicongyang/article/details/39898629
Hadoop读书笔记（二）HDFS的shell操作：http://blog.csdn.net/caicongyang/article/details/41253927
Hadoop读书笔记（三）Java API操作HDFS：http://blog.csdn.net/caicongyang/article/details/41290955
Hadoop读书笔记（四）HDFS体系结构 ：http://blog.csdn.net/caicongyang/article/details/41322649
Hadoop读书笔记（五）MapReduce统计单词demo：http://blog.csdn.net/caicongyang/article/details/41453579
从给定的日志文件中统计手机流量
1363157985066 13726230503 00-FD-07-A4-72-B8:CMCC 120.196.100.82 i02.c.aliimg.com 24 27 2481 24681 200 1363157995052 13826544101 5C-0E-8B-C7-F1-E0:CMCC 120.197.40.4 4 0 264 0 200 1363157991076 13926435656 20-10-7A-28-CC-0A:CMCC 120.196.100.99 2 4 132 1512 200 1363154400022 13926251106 5C-0E-8B-8B-B1-50:CMCC 120.197.40.4 4 0 240 0 200 1363157993044 18211575961 94-71-AC-CD-E6-18:CMCC-EASY 120.196.100.99 iface.qiyi.com 视频网站 15 12 1527 2106 200 1363157995074 84138413 5C-0E-8B-8C-E8-20:7DaysInn 120.197.40.4 122.72.52.12 20 16 4116 1432 200 1363157993055 13560439658 C4-17-FE-BA-DE-D9:CMCC 120.196.100.99 18 15 1116 954 200 1363157995033 15920133257 5C-0E-8B-C7-BA-20:CMCC 120.197.40.4 sug.so.360.cn 信息安全 20 20 3156 2936 200 1363157983019 13719199419 68-A1-B7-03-07-B1:CMCC-EASY 120.196.100.82 4 0 240 0 200 1363157984041 13660577991 5C-0E-8B-92-5C-20:CMCC-EASY 120.197.40.4 s19.cnzz.com 站点统计 24 9 6960 690 200 1363157973098 15013685858 5C-0E-8B-C7-F7-90:CMCC 120.197.40.4 rank.ie.sogou.com 搜索引擎 28 27 3659 3538 200 1363157986029 15989002119 E8-99-C4-4E-93-E0:CMCC-EASY 120.196.100.99 www.umeng.com 站点统计 3 3 1938 180 200 1363157992093 13560439658 C4-17-FE-BA-DE-D9:CMCC 120.196.100.99 15 9 918 4938 200 1363157986041 13480253104 5C-0E-8B-C7-FC-80:CMCC-EASY 120.197.40.4 3 3 180 180 200 1363157984040 13602846565 5C-0E-8B-8B-B6-00:CMCC 120.197.40.4 2052.flash2-http.qq.com 综合门户 15 12 1938 2910 200 1363157995093 13922314466 00-FD-07-A2-EC-BA:CMCC 120.196.100.82 img.qfc.cn 12 12 3008 3720 200 1363157982040 13502468823 5C-0A-5B-6A-0B-D4:CMCC-EASY 120.196.100.99 y0.ifengimg.com 综合门户 57 102 7335 110349 200 1363157986072 18320173382 84-25-DB-4F-10-1A:CMCC-EASY 120.196.100.99 input.shouji.sogou.com 搜索引擎 21 18 9531 2412 200 1363157990043 13925057413 00-1F-64-E1-E6-9A:CMCC 120.196.100.55 t3.baidu.com 搜索引擎 69 63 11058 48243 200 1363157988072 13760778710 00-FD-07-A4-7B-08:CMCC 120.196.100.82 2 2 120 120 200 1363157985079 13823070001 20-7C-8F-70-68-1F:CMCC 120.196.100.99 6 3 360 180 200 1363157985069 13600217502 00-1F-64-E2-E8-B1:CMCC 120.196.100.55 18 138 1080 186852 200
KpiApp.java
package mapReduce;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.net.URI;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hadoop.mapreduce.lib.partition.HashPartitioner;
/**
*
* <p>
* Title: KpiApp.java
* Package mapReduce
* </p>
* <p>
* Description: 统计流量
* <p>
* @author Tom.Cai
* @created 2014-11-25 下午10:23:33
* @version V1.0
*
*/
public class KpiApp {
private static final String INPUT_PATH = "hdfs://192.168.80.100:9000/wlan";
private static final String OUT_PATH = "hdfs://192.168.80.100:9000/wlan_out";
public static void main(String[] args) throws Exception {
FileSystem fileSystem = FileSystem.get(new URI(INPUT_PATH), new Configuration());
Path outPath = new Path(OUT_PATH);
if (fileSystem.exists(outPath)) {
fileSystem.delete(outPath, true);
}
Job job = new Job(new Configuration(), KpiApp.class.getSimpleName());
FileInputFormat.setInputPaths(job, INPUT_PATH);
job.setInputFormatClass(TextInputFormat.class);
job.setMapperClass(KpiMapper.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(KpiWite.class);
job.setPartitionerClass(HashPartitioner.class);
job.setNumReduceTasks(1);
job.setReducerClass(KpiReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(KpiWite.class);
FileOutputFormat.setOutputPath(job, new Path(OUT_PATH));
job.setOutputFormatClass(TextOutputFormat.class);
job.waitForCompletion(true);
}
static class KpiMapper extends Mapper<LongWritable, Text, Text, KpiWite> {
@Override
protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
String[] splited = value.toString().split("\t");
String num = splited[1];
KpiWite kpi = new KpiWite(splited[6], splited[7], splited[8], splited[9]);
context.write(new Text(num), kpi);
}
}
static class KpiReducer extends Reducer<Text, KpiWite, Text, KpiWite> {
@Override
protected void reduce(Text key, Iterable<KpiWite> value, Context context) throws IOException, InterruptedException {
long upPackNum = 0L;
long downPackNum = 0L;
long upPayLoad = 0L;
long downPayLoad = 0L;
for (KpiWite kpi : value) {
upPackNum += kpi.upPackNum;
downPackNum += kpi.downPackNum;
upPayLoad += kpi.upPayLoad;
downPayLoad += kpi.downPayLoad;
}
context.write(key, new KpiWite(String.valueOf(upPackNum), String.valueOf(downPackNum), String.valueOf(upPayLoad), String.valueOf(downPayLoad)));
}
}
}
class KpiWite implements Writable {
long upPackNum;
long downPackNum;
long upPayLoad;
long downPayLoad;
public KpiWite() {
}
public KpiWite(String upPackNum, String downPackNum, String upPayLoad, String downPayLoad) {
this.upPackNum = Long.parseLong(upPackNum);
this.downPackNum = Long.parseLong(downPackNum);
this.upPayLoad = Long.parseLong(upPayLoad);
this.downPayLoad = Long.parseLong(downPayLoad);
}
@Override
public void readFields(DataInput in) throws IOException {
this.upPackNum = in.readLong();
this.downPackNum = in.readLong();
this.upPayLoad = in.readLong();
this.downPayLoad = in.readLong();
}
@Override
public void write(DataOutput out) throws IOException {
out.writeLong(upPackNum);
out.writeLong(downPackNum);
out.writeLong(upPayLoad);
out.writeLong(downPayLoad);
}
}
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Hadoop读书笔记（六）MapReduce自定义数据类型demo
标签：hadoop读书笔记 mapreduce mapreduce自定义数据类型 demo
原文地址：http://blog.csdn.net/caicongyang/article/details/41490379
