Hi,
Thanks a lot for the great support. I am just learning hadoop and
mapreduce.
I have used the way you have guided me.
But the output is coming without Aggreating
vinitha.txt C 1
vinitha.txt Java 1
vinitha.txt Java 1
vinitha.txt Java 1
vinitha.txt Java 1
*I need the output has *
*vinitha C 1*
*vinitha Java 4*
I have reduce class but still not able to fix it, I am still trying .
I have given my code below, Please let me know where i have gone wrong.
my code
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.*;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.lib.input.FileSplit;
import org.apache.hadoop.mapreduce.*;
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.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import java.io.IOException;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.FileStatus;
import java.util.*;
import java.util.logging.Level;
import java.util.logging.Logger;
public class FileCount {
public static class TokenizerMapper extends Mapper<LongWritable, Text,
Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
public void map(LongWritable key, Text value, Context context) throws
IOException, InterruptedException {
FileSplit fileSplit;
InputSplit is = context.getInputSplit();
FileSystem fs = FileSystem.get(context.getConfiguration());
fileSplit = (FileSplit) is;
Path pp = fileSplit.getPath();
String line=value.toString();
int i=0;int k=0;
//Path pp = ((FileSplit)
context.getInputSplit()).getPath();
String[] splited = line.split("\\s+");
for( i=0;i<splited.length;i++)
{
String sp[]=splited[i].split(",");
for( k=0;k<sp.length;k++)
{
if(!sp[k].isEmpty())
{
StringTokenizer itr = new
StringTokenizer(sp[k]);
//log.info("map on string: " + new
String(value.getBytes()));
if((sp[k].equalsIgnoreCase("C"))){
while (itr.hasMoreTokens()) {
word.set(pp.getName() + " " +
itr.nextToken());
context.write(word, one);
}
}
if((sp[k].equalsIgnoreCase("JAVA"))){
while (itr.hasMoreTokens()) {
word.set(pp.getName() + " " +
itr.nextToken());
context.write(word, one);
}
}
}
}
}
}
}
public static class Reduce extends Reducer<Text, IntWritable, Text,
IntWritable> {
public void reduce(Text key, Iterator<IntWritable> values, Context
context) throws IOException, InterruptedException {
int sum = 0;
while (values.hasNext()) {
sum += values.next().get();
}
context.write(key, new IntWritable(sum));
}
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
Job job = new Job(conf, "jobName");
String input="/user/hduser/INPUT/";
String output="/user/hduser/OUTPUT/";
FileInputFormat.setInputPaths(job, input);
job.setJarByClass(FileCount.class);
job.setMapperClass(TokenizerMapper.class);
job.setReducerClass(Reduce.class);
job.setCombinerClass(Reduce.class);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
Path outPath = new Path(output);
FileOutputFormat.setOutputPath(job, outPath);
FileSystem dfs = FileSystem.get(outPath.toUri(), conf);
if (dfs.exists(outPath)) {
dfs.delete(outPath, true);
}
try {
job.waitForCompletion(true);
} catch (InterruptedException ex) {
//Logger.getLogger(FileCOunt.class.getName()).log(Level.SEVERE, null, ex);
} catch (ClassNotFoundException ex) {
//Logger.getLogger(FileCount.class.getName()).log(Level.SEVERE, null, ex);
}
}
}
Thanks in advance for the great help and support to fix the issue .
Please help to fix it.
Thanks a lot.
Regards,
Ranjini
> Hi,
>
> I have folder named INPUT.
>
> Inside INPUT i have 5 resume are there.
>
> hduser@localhost:~/Ranjini$ hadoop fs -ls /user/hduser/INPUT
> Found 5 items
> -rw-r--r-- 1 hduser supergroup 5438 2014-03-18 15:20
> /user/hduser/INPUT/Rakesh Chowdary_Microstrategy.txt
> -rw-r--r-- 1 hduser supergroup 6022 2014-03-18 15:22
> /user/hduser/INPUT/Ramarao Devineni_Microstrategy.txt
> -rw-r--r-- 1 hduser supergroup 3517 2014-03-18 15:21
> /user/hduser/INPUT/vinitha.txt
> -rw-r--r-- 1 hduser supergroup 3517 2014-03-18 15:21
> /user/hduser/INPUT/sony.txt
> -rw-r--r-- 1 hduser supergroup 3517 2014-03-18 15:21
> /user/hduser/INPUT/ravi.txt
> hduser@localhost:~/Ranjini$
>
> I have to process the folder and the content .
>
> I need ouput has
>
> filename word occurance
> vinitha java 4
> sony oracle 3
>
>
>
> But iam not getting the filename. Has the input file content are merged
> file name is not getting correct .
>
>
> please help in this issue to fix. I have given by code below
>
>
> import java.io.IOException;
> import java.util.*;
> import org.apache.hadoop.fs.Path;
> import org.apache.hadoop.conf.*;
> import org.apache.hadoop.io.*;
> import org.apache.hadoop.mapred.*;
> import org.apache.hadoop.util.*;
> import java.io.File;
> import java.io.FileReader;
> import java.io.FileWriter;
> import java.io.IOException;
> import org.apache.hadoop.fs.Path;
> import org.apache.hadoop.conf.Configuration;
> import org.apache.hadoop.fs.FileSystem;
> import org.apache.hadoop.fs.FileStatus;
> import org.apache.hadoop.conf.*;
> import org.apache.hadoop.io.*;
> import org.apache.hadoop.mapred.*;
> import org.apache.hadoop.util.*;
> import org.apache.hadoop.mapred.lib.*;
>
> public class WordCount {
> public static class Map extends MapReduceBase implements
> Mapper<LongWritable, Text, Text, IntWritable> {
> private final static IntWritable one = new IntWritable(1);
> private Text word = new Text();
> public void map(LongWritable key, Text value, OutputCollector<Text,
> IntWritable> output, Reporter reporter) throws IOException {
> FSDataInputStream fs=null;
> FileSystem hdfs = null;
> String line = value.toString();
> int i=0,k=0;
> try{
> Configuration configuration = new Configuration();
> configuration.set("fs.default.name", "hdfs://localhost:4440/");
>
> Path srcPath = new Path("/user/hduser/INPUT/");
>
> hdfs = FileSystem.get(configuration);
> FileStatus[] status = hdfs.listStatus(srcPath);
> fs=hdfs.open(srcPath);
> BufferedReader br=new BufferedReader(new
> InputStreamReader(hdfs.open(srcPath)));
>
> String[] splited = line.split("\\s+");
> for( i=0;i<splited.length;i++)
> {
> String sp[]=splited[i].split(",");
> for( k=0;k<sp.length;k++)
> {
>
> if(!sp[k].isEmpty()){
> StringTokenizer tokenizer = new StringTokenizer(sp[k]);
> if((sp[k].equalsIgnoreCase("C"))){
> while (tokenizer.hasMoreTokens()) {
> word.set(tokenizer.nextToken());
> output.collect(word, one);
> }
> }
> if((sp[k].equalsIgnoreCase("JAVA"))){
> while (tokenizer.hasMoreTokens()) {
> word.set(tokenizer.nextToken());
> output.collect(word, one);
> }
> }
> }
> }
> }
> } catch (IOException e) {
> e.printStackTrace();
> }
> }
> }
> public static class Reduce extends MapReduceBase implements
> Reducer<Text, IntWritable, Text, IntWritable> {
> public void reduce(Text key, Iterator<IntWritable> values,
> OutputCollector<Text, IntWritable> output, Reporter reporter) throws
> IOException {
> int sum = 0;
> while (values.hasNext()) {
> sum += values.next().get();
> }
> output.collect(key, new IntWritable(sum));
> }
> }
> public static void main(String[] args) throws Exception {
>
>
> JobConf conf = new JobConf(WordCount.class);
> conf.setJobName("wordcount");
> conf.setOutputKeyClass(Text.class);
> conf.setOutputValueClass(IntWritable.class);
> conf.setMapperClass(Map.class);
> conf.setCombinerClass(Reduce.class);
> conf.setReducerClass(Reduce.class);
> conf.setInputFormat(TextInputFormat.class);
> conf.setOutputFormat(TextOutputFormat.class);
> FileInputFormat.setInputPaths(conf, new Path(args[0]));
> FileOutputFormat.setOutputPath(conf, new Path(args[1]));
> JobClient.runJob(conf);
> }
> }
>
>
>
> Please help
>
> Thanks in advance.
>
> Ranjini
>
>
>
> ----------
> From: *Stanley Shi* <[email protected]>
> Date: Thu, Mar 20, 2014 at 7:39 AM
> To: [email protected]
>
>
> You want to do a word count for each file, but the code give you a word
> count for all the files, right?
>
> =====
> word.set(tokenizer.nextToken());
> output.collect(word, one);
> ======
> change it to:
> word.set("filename"+" "+tokenizer.nextToken());
> output.collect(word,one);
>
>
>
>
> Regards,
> *Stanley Shi,*
>
>
> ----------
> From: *Ranjini Rathinam* <[email protected]>
> Date: Thu, Mar 20, 2014 at 10:56 AM
> To: [email protected]
>
>
>
> ----------
> From: *Ranjini Rathinam* <[email protected]>
> Date: Thu, Mar 20, 2014 at 11:20 AM
> To: [email protected], [email protected]
>
>
> Hi,
>
> If we give the below code,
> =======================
> word.set("filename"+" "+tokenizer.nextToken());
> output.collect(word,one);
> ======================
>
> The output is wrong. because it shows the
>
> filename word occurance
> vinitha java 4
> vinitha oracle 3
> sony java 4
> sony oracle 3
>
>
> Here vinitha does not have oracle word . Similarlly sony does not have
> java has word. File name is merging for all words.
>
> I need the output has given below
>
> filename word occurance
>
> vinitha java 4
> vinitha C++ 3
> sony ETL 4
> sony oracle 3
>
>
> Need fileaName along with the word in that particular file only. No merge
> should happen.
>
> Please help me out for this issue.
>
> Please help.
>
> Thanks in advance.
>
> Ranjini
>
> ----------
> From: *Felix Chern* <[email protected]>
> Date: Thu, Mar 20, 2014 at 11:25 PM
> To: [email protected]
> Cc: [email protected]
>
>
> I've written two blog post of how to get directory context in hadoop
> mapper.
>
>
> http://www.idryman.org/blog/2014/01/26/capture-directory-context-in-hadoop-mapper/
>
> http://www.idryman.org/blog/2014/01/27/capture-path-info-in-hadoop-inputformat-class/
>
> Cheers,
> Felix
>
> ----------
> From: *Stanley Shi* <[email protected]>
> Date: Fri, Mar 21, 2014 at 7:02 AM
>
> To: Ranjini Rathinam <[email protected]>
> Cc: [email protected]
>
>
> Just reviewed the code again, you are not really using map-reduce. you are
> reading all files in one map process, this is not a normal map-reduce job
> works.
>
>
> Regards,
> *Stanley Shi,*
>
>
> ----------
> From: *Stanley Shi* <[email protected]>
> Date: Fri, Mar 21, 2014 at 7:43 AM
> To: Ranjini Rathinam <[email protected]>
> Cc: [email protected]
>
>
> Change you mapper to be something like this:
>
> public static class TokenizerMapper extends
>
> Mapper<Object, Text, Text, IntWritable> {
>
>
> private final static IntWritable one = new IntWritable(1);
>
> private Text word = new Text();
>
>
> public void map(Object key, Text value, Context context)
>
> throws IOException, InterruptedException {
>
> Path pp = ((FileSplit) context.getInputSplit()).getPath();
>
> StringTokenizer itr = new StringTokenizer(value.toString());
>
> log.info("map on string: " + new String(value.getBytes()));
>
> while (itr.hasMoreTokens()) {
>
> word.set(pp.getName() + " " + itr.nextToken());
>
> context.write(word, one);
>
> }
>
> }
>
> }
>
> Note: add your filtering code here;
>
> and then when running the command, use you input path as param;
>
> Regards,
> *Stanley Shi,*
>
>
> ----------
> From: *Ranjini Rathinam* <[email protected]>
> Date: Fri, Mar 21, 2014 at 9:57 AM
> To: [email protected]
>
>
>
>
> ---------- Forwarded message ----------
> From: Stanley Shi <[email protected]>
> Date: Fri, Mar 21, 2014 at 7:43 AM
> Subject: Re: Need FileName with Content
>
>
> ----------
> From: *Ranjini Rathinam* <[email protected]>
> Date: Fri, Mar 21, 2014 at 9:58 AM
> To: [email protected]
>
>
>
>
>
