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,*
On Fri, Mar 21, 2014 at 9:32 AM, Stanley Shi <[email protected]> wrote:
> 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,*
>
>
>
> On Thu, Mar 20, 2014 at 1:50 PM, Ranjini Rathinam
> <[email protected]>wrote:
>
>> 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
>>
>>
>>
>>
>> On Thu, Mar 20, 2014 at 10:56 AM, Ranjini Rathinam <
>> [email protected]> wrote:
>>
>>
>>>
>>> ---------- Forwarded message ----------
>>> From: Stanley Shi <[email protected]>
>>> Date: Thu, Mar 20, 2014 at 7:39 AM
>>> Subject: Re: Need FileName with Content
>>> 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,*
>>>
>>>
>>>
>>> On Wed, Mar 19, 2014 at 8:50 PM, Ranjini Rathinam <
>>> [email protected]> wrote:
>>>
>>>> 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
>>>>
>>>>
>>>>
>>>
>>>
>>
>
