Hi,
Thanks for the great support i have fixed the issue. I have now got
the output.
But , i have one query ,Possible to give runtime argument for mapper class
like,
Giving the value C,JAVA in runtime.
* 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);
Thanks a lot .
Ranjini
On Fri, Mar 21, 2014 at 11:45 AM, Ranjini Rathinam
<[email protected]>wrote:
> 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]
>>
>>
>>
>>
>>
>
