hadoop : reduce output records=0 - hadoop

Question

I am writing MapReduce code with 2 mapper class and a reducer , but I don't know why I have an reduce output records=0.
Please tell me how to solve this problem
package reducesidejoin;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
import java.io.IOException;
import java.util.Iterator;
public class ReduceSideJoinReducer extends Reducer<IntWritable,
Text, IntWritable, Text> {
#Override
public void reduce(IntWritable key, Iterable<Text> values,
Context context) throws IOException, InterruptedException {
String output = null;
Text achat;
Text vins;
Text valeur2;
Text valeur1;
Iterator<Text> itr = values.iterator();
valeur1 = itr.next();
if (valeur1.charAt(0) == 1) {
vins = valeur1;
while (itr.hasNext()) {
valeur2 = itr.next();
if (valeur2.charAt(0) == 2) {
achat = valeur2;
output = vins.toString() + achat.toString();
context.write(key, new Text(output));
}
context.write(key, new Text(output));
}
} else if (valeur1.charAt(0) == 2) {
achat = valeur1;
while (itr.hasNext()) {
valeur2 = itr.next();
if (valeur2.charAt(0) == 1) {
vins = valeur2;
output = vins.toString() + achat.toString();
System.out.println(key + "," + output);
}
context.write(key, new Text(output));
}
}
}
}

Answer 1

The only way your reducer can output anything is if your char comparisons are working. This is assuming you actually have records entering your reducer.
I would have a look at these lines: valeur1.charAt(0) == 1
You're comparing an integer to a char and i suspect your looking for the printable value of 1 (49 if you did an integer comparison) so you probably want:
valeur1.charAt(0) == '1'
You're also doing this a lot - vins = valeur1; which is going to cause problems because hadoop is going to be reusing the Text objects it gives you via the Iterable.
You should change these to vins.set(valeur1);