Re: Job progress not showing in Hadoop Tasktracker web interface
Hi, I have the same problem. When I am executing the Hadoop program on Fedora Terminal then the progress of the TaskTracker is showing in web interface but when executing through eclip then does not showing. Could you please let me know how I can resolve this problem. Thanks Thanks Mukhtaj
RE: 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)
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-Original Message-
From: foo_foo_foo [mailto:finallya...@gmail.com]
Sent: Wednesday, July 20, 2011 10:05 AM
To: core-u...@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
{
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.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 {
private static int counter = 1;
@Override
public void reduce(Text redIpKey, Iterable
redIpValue,
Reducer.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);
}
}
--
View this message in context:
http://old.nabble.com/Job-progress-not-showing-in-Hadoop-Tasktracker--web-interface-tp32096156p32096156.html
Sent from the Hadoop core-user mailing list archive at Nabble.com.
Re: Job progress not showing in Hadoop Tasktracker web interface
Looks like it may be running in the local mode. Have you setup your
Eclipse configuration properly?
What version of Hadoop are you using?
On Wed, Jul 20, 2011 at 7:35 AM, foo_foo_foo wrote:
>
> 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
> {
> 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.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 {
> private static int counter = 1;
> @Override
> public void reduce(Text redIpKey,
> Iterable redIpValue,
> Reducer.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);
> }
> }
>
>
> --
> View this message in context:
> http://old.nabble.com/Job-progress-not-showing-in-Hadoop-Tasktracker--web-interface-tp32096156p32096156.html
> Sent from the Hadoop core-user mailing list archive at Nabble.com.
>
>
--
Harsh J
Re: Job progress not showing in Hadoop Tasktracker web interface
Found the issue. I created a JAR and submitted through bin/hadoop and it distributes the jobs as expected. -- View this message in context: http://old.nabble.com/Job-progress-not-showing-in-Hadoop-Tasktracker--web-interface-tp32096156p32104045.html Sent from the Hadoop core-user mailing list archive at Nabble.com.
Re: Job progress not showing in Hadoop Tasktracker web interface
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! On Thu, Jul 21, 2011 at 6:32 AM, foo_foo_foo wrote: > > Found the issue. I created a JAR and submitted through bin/hadoop and it > distributes the jobs as expected. > -- > View this message in context: > http://old.nabble.com/Job-progress-not-showing-in-Hadoop-Tasktracker--web-interface-tp32096156p32104045.html > Sent from the Hadoop core-user mailing list archive at Nabble.com. > > -- Harsh J
Re: Job progress not showing in Hadoop Tasktracker web interface
On 20/07/11 06:11, Teng, James wrote: 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. 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
