[Hadoop-common-user] Job progress not showing in Hadoop Tasktracker web interface

You can't run a hadoop job in eclipse, you have to set up an environment on linux system. Maybe you can try to install it on WMware linux system and run the job in pseudo-distributed system.


James, Teng (Teng Linxiao)
eRL, CDC, eBay, Shanghai
Extension: 86-21-28913530
MSN: tenglinxiao@hotmail.com
Skype: James,Teng
Email: xteng@ebay.com

-----Original Message-----
From: foo_foo_foo
Sent: Wednesday, July 20, 2011 10:05 AM
To: core-user@hadoop.apache.org
Subject: Job progress not showing in Hadoop Tasktracker web interface


I am a Hadoop novice so kindly pardon my ingorance.

I am running the following Hadoop program in Fully Distributed Mode to count
the number of lines in a file. I am running this job from eclipse and I see
it running (based on the output to the eclipse console) but I do not see the
tasks in the TaskTracker web interface. Also eventhough the data is
distributed accross multiple hosts it doesnt seem to be distributing works
accross hosts.

Could someone pelase help me with this.


package LineCount;

import java.util.*;
import java.io.*;

import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.io.*;
import org.apache.hadoop.conf.*;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.mapreduce.lib.input.*;
import org.apache.hadoop.mapreduce.lib.output.*;
import org.apache.hadoop.util.*;

public class LineCount extends Configured implements Tool {

public static class Map extends Mapper<LongWritable,Text,Text,IntWritable>
{
private static int counter = 1;
private static Text mapOpKey = new Text();
private final static IntWritable mapOpValue = new IntWritable(1);
@Override
public void map(LongWritable mapInpKey, Text mapInpValue,
Mapper<LongWritable,Text,Text,IntWritable>.Context context) throws
IOException,InterruptedException{
System.out.println("Calling Map "+ counter);
counter++;
mapOpKey.set("Number Of Lines");
context.write(mapOpKey, mapOpValue);
}
}

public static class Reduce extends
Reducer<Text,IntWritable,Text,IntWritable> {
private static int counter = 1;
@Override
public void reduce(Text redIpKey, Iterable<IntWritable> redIpValue,
Reducer<Text,IntWritable,Text,IntWritable>.Context context) throws
IOException,InterruptedException {
int sum=0;
System.out.println("Calling Reduce "+ counter);
counter++;
while(redIpValue.iterator().hasNext()){
sum = sum + redIpValue.iterator().next().get();
}
context.write(redIpKey, new IntWritable(sum));
}
}

@Override
public int run(String[] args) throws Exception{

Configuration conf = new Configuration();
conf.addResource(new Path("/hadoop-0.20.2/conf/core-site.xml"));
Job job = new Job(conf);
job.setJobName("LineCount");
job.setJarByClass(LineCount.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setMapperClass(Map.class);
//job.setCombinerClass(Reduce.class);
job.setReducerClass(Reduce.class);
FileInputFormat.setInputPaths(job, new Path("/usr/foo/hadoopIP"));
FileOutputFormat.setOutputPath(job, new Path("/usr/foo/hadoopOP"));
job.waitForCompletion(true);
return 0;
}

public static void main(String[] args) throws Exception{
ToolRunner.run(new LineCount(), args);
}
}

Actually you can bring up a MiniMRCluster in your JUnit test run (if
hadop-core-test is on the Classpath) and run simple jobs against that.
This is the standard way that Hadoop tests itself. It's not that high
performing, doesn't scale out and can leak threads, but it's ideal for
basic testing

Looks like it may be running in the local mode. Have you setup your
Eclipse configuration properly?

What version of Hadoop are you using?

Found the issue. I created a JAR and submitted through bin/hadoop and it
distributes the jobs as expected.

Although that solves it, its not a solution to the eclipse
configuration issue I think. But, good to know you've found a way that
works for you!