Wordcount program in Hadoop by using Cloudera

WordCount Program in Hadoop
hadoop.apache.org/docs/curren...
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[@yashpathak8075]

very good Amazing explanation

[@shivanikarhalesuryawanshi]

Thank u sir

[@mahmoodshariff5586]

Thank you mam, I was trying this program in Cloudera but it is not getting and I was unable to find the where problem occurred. But finally your video explanation helped me mam. Thank you

[@shivanikarhalesuryawanshi]

welcome☺

[@lokeshpatil1745]

Nice explanation..it's really helpful 👍👍

[@shivanikarhalesuryawanshi]

thank u

[@pratimabharati502]

Keep it up mam😊

[@shivanikarhalesuryawanshi]

Thank you, I will

[@vaishnavikamble5492]

Nice explanation 😊

[@shivanikarhalesuryawanshi]

thank u

[@Rahul_Valvi_Creation_]

Nice explanation mam ❤️❤️

[@shivanikarhalesuryawanshi]

thank u

[@radhikakokate648]

Nice Explanation, clear all concept

[@shivanikarhalesuryawanshi]

thanks mam

[@ankursatao5344]

Well explained

[@shivanikarhalesuryawanshi]

thank u

[@ankushupadhayay6847]

well explained 👏

[@shivanikarhalesuryawanshi]

thank u

[@rakshapanpaliya6131]

Helpful

[@shivanikarhalesuryawanshi]

thank u

[@sanikamote2568]

Helpful❤

[@shivanikarhalesuryawanshi]

thank u

[@munigoutham4371]

Not a Valid Jar error

[@shivanikarhalesuryawanshi]

import java.io.IOException;
import java.util.StringTokenizer;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
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.output.FileOutputFormat;
public class WordCount {
public static class TokenizerMapper
extends Mapper{
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 {
StringTokenizer itr = new StringTokenizer(value.toString());
while (itr.hasMoreTokens()) {
word.set(itr.nextToken());
context.write(word, one);
}
}
}
public static class IntSumReducer
extends Reducer {
private IntWritable result = new IntWritable();
public void reduce(Text key, Iterable values,
Context context
) throws IOException, InterruptedException {
int sum = 0;
for (IntWritable val : values) {
sum += val.get();
}
result.set(sum);
context.write(key, result);
}
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
Job job = Job.getInstance(conf, "word count");
job.setJarByClass(WordCount.class);
job.setMapperClass(TokenizerMapper.class);
job.setCombinerClass(IntSumReducer.class);
job.setReducerClass(IntSumReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}