Created
May 2, 2015 19:08
-
-
Save NicoHinderling/ea78a0e37b9f6cac7f99 to your computer and use it in GitHub Desktop.
Map my Reduce Baby
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
package wordcount; | |
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 fourB { | |
public static class TokenizerMapper | |
extends Mapper<Object, Text, Text, IntWritable>{ | |
private final static IntWritable zero = new IntWritable(0); | |
private final static IntWritable one = new IntWritable(1); | |
private Text missing = new Text(); | |
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()) { | |
String wordy = itr.nextToken(); | |
for (int m = 0; m < 15; m++){ | |
if(m == wordy.length()){ | |
int counter = 0; | |
for(int x = 0; x < wordy.length(); x++){ | |
if(wordy.charAt(x)== 'a' || wordy.charAt(x)== 'e' || wordy.charAt(x)== 'i' || wordy.charAt(x)== 'o' || wordy.charAt(x)== 'u' || wordy.charAt(x)== 'y' || wordy.charAt(x)== 'A' || wordy.charAt(x)== 'E' || wordy.charAt(x)== 'I' || wordy.charAt(x)== 'O' || wordy.charAt(x)== 'U' || wordy.charAt(x)== 'Y'){ | |
counter++; | |
} | |
} | |
System.out.println(wordy + " of length " + m + " contains " + counter + " values!"); | |
IntWritable ourCounter = new IntWritable(counter); | |
if(counter == 0){ | |
word.set(m + ""); | |
context.write(word, zero); | |
}else{ | |
word.set(m + ""); | |
context.write(word, ourCounter); | |
} | |
} | |
missing.set(m + ""); | |
context.write(missing, zero); | |
} | |
} | |
} | |
} | |
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(); | |
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs(); | |
if (otherArgs.length != 2) { | |
System.err.println("Usage: wordcount <in> <out>"); | |
System.exit(2); | |
} | |
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(otherArgs[0])); | |
FileOutputFormat.setOutputPath(job, new Path(otherArgs[1])); | |
System.exit(job.waitForCompletion(true) ? 0 : 1); | |
} | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment