Created
January 29, 2012 01:22
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Hadoop Word Count Example
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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; | |
import org.apache.hadoop.util.GenericOptionsParser; | |
public class WordCount { | |
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 { | |
StringTokenizer itr = new StringTokenizer(value.toString()); | |
while (itr.hasMoreTokens()) { | |
word.set(itr.nextToken()); | |
context.write(word, one); | |
} | |
} | |
} | |
public static class IntSumReducer | |
extends Reducer<Text,IntWritable,Text,IntWritable> { | |
private IntWritable result = new IntWritable(); | |
public void reduce(Text key, Iterable<IntWritable> 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 = new Job(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); | |
} | |
} |
after compiling i am getting following error :-( please guide me how can i resolve it
WordCount.java:17: error: error while writing TokenizerMapper: WordCount$TokenizerMapper.class (Permission denied) public static class TokenizerMapper ^ Note: WordCount.java uses or overrides a deprecated API. Note: Recompile with -Xlint:deprecation for details. 1 error
There is no problem within code. If anyone is finding the solution for this error, this has worked for me:
- Compile the WordCount.java file as a root user by adding 'sudo' before the command as:
sudo javac -classpath $(hadoop classpath) -d '/home/rimshub/Desktop/Lab/tutorial_classes' '/home/rimshub/Desktop/Lab/WordCount.java'
- And do the same with command which puts all the output files in one jar:
sudo jar -cvf WordCount.jar -C tutorial_classes .
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did u solve this error?