I have tried apache -commons logging ...
instead of printing the row ... i have written log.error(row) ...
even then i got the same output as follows ...
09/07/24 03:41:38 INFO jvm.JvmMetrics: Initializing JVM Metrics with
processName=JobTracker, sessionId=
09/07/24 03:41:38 WARN mapred.JobClient: No job jar file set. User classes
may not be found. See JobConf(Class) or JobConf#setJar(String).
09/07/24 03:41:39 INFO mapred.TableInputFormatBase: split:
0->localhost.localdomain:,
09/07/24 03:41:39 INFO mapred.JobClient: Running job: job_local_0001
09/07/24 03:41:39 INFO mapred.TableInputFormatBase: split:
0->localhost.localdomain:,
09/07/24 03:41:40 INFO mapred.MapTask: numReduceTasks: 1
09/07/24 03:41:40 INFO mapred.MapTask: io.sort.mb = 100
09/07/24 03:41:40 INFO mapred.MapTask: data buffer = 79691776/99614720
09/07/24 03:41:40 INFO mapred.MapTask: record buffer = 262144/327680
09/07/24 03:41:40 INFO mapred.MapTask: Starting flush of map output
09/07/24 03:41:40 INFO mapred.MapTask: Finished spill 0
09/07/24 03:41:40 INFO mapred.TaskRunner: Task:attempt_local_0001_m_000000_0
is done. And is in the process of commiting
09/07/24 03:41:40 INFO mapred.LocalJobRunner:
09/07/24 03:41:40 INFO mapred.TaskRunner: Task
'attempt_local_0001_m_000000_0' done.
09/07/24 03:41:40 INFO mapred.LocalJobRunner:
09/07/24 03:41:40 INFO mapred.Merger: Merging 1 sorted segments
09/07/24 03:41:40 INFO mapred.Merger: Down to the last merge-pass, with 1
segments left of total size: 333 bytes
09/07/24 03:41:40 INFO mapred.LocalJobRunner:
09/07/24 03:41:40 INFO mapred.TaskRunner: Task:attempt_local_0001_r_000000_0
is done. And is in the process of commiting
09/07/24 03:41:40 INFO mapred.LocalJobRunner: reduce > reduce
09/07/24 03:41:40 INFO mapred.TaskRunner: Task
'attempt_local_0001_r_000000_0' done.
09/07/24 03:41:40 INFO mapred.JobClient: Job complete: job_local_0001
09/07/24 03:41:40 INFO mapred.JobClient: Counters: 11
09/07/24 03:41:40 INFO mapred.JobClient: File Systems
09/07/24 03:41:40 INFO mapred.JobClient: Local bytes read=38933
09/07/24 03:41:40 INFO mapred.JobClient: Local bytes written=78346
09/07/24 03:41:40 INFO mapred.JobClient: Map-Reduce Framework
09/07/24 03:41:40 INFO mapred.JobClient: Reduce input groups=8
09/07/24 03:41:40 INFO mapred.JobClient: Combine output records=0
09/07/24 03:41:40 INFO mapred.JobClient: Map input records=8
09/07/24 03:41:40 INFO mapred.JobClient: Reduce output records=8
09/07/24 03:41:40 INFO mapred.JobClient: Map output bytes=315
09/07/24 03:41:40 INFO mapred.JobClient: Map input bytes=0
09/07/24 03:41:40 INFO mapred.JobClient: Combine input records=0
09/07/24 03:41:40 INFO mapred.JobClient: Map output records=8
09/07/24 03:41:40 INFO mapred.JobClient: Reduce input records=8
On Thu, Jul 23, 2009 at 9:32 PM, Jean-Daniel Cryans <jdcry...@apache.org>wrote:
> And you don't need any more config to run local MR jobs on HBase. But
> you do need Hadoop when running MR jobs on HBase on a cluster.
>
> Also your code is running fine as you could see, the real question is
> where is the stdout going when in local mode. When you ran your other
> MR jobs, it was on a working Hadoop setup right? So you were looking
> at the logs in the web UI? One simple thing to do is to do your
> debugging with a logger so you are sure to see your output as I
> already proposed. Another simple thing is to get a pseudo-distributed
> setup and run you HBase MR jobs with Hadoop and get your logs like I'm
> sure you did before.
>
> J-D
>
> On Thu, Jul 23, 2009 at 11:54 AM, bharath
> vissapragada<bharathvissapragada1...@gmail.com> wrote:
> > I am really thankful to you J-D for replying me inspite of ur busy
> schedule.
> > I am still in a learning stage and there are no good guides on HBase
> other
> > than Its own one .. So please spare me and I really appreciate ur help .
> >
> > Now i got ur point that there is no need of hadoop while running Hbase MR
> > programs .... But iam confused abt the config . I have only set the
> > JAVA_HOME in the "hbase-env.sh" and other than that i didn't do anything
> ..
> > so i wonder if my conf was wrong or some error in that simple code ...
> > because stdout worked for me while writing mapreduce programs ...
> >
> > Thanks once again!
> >
> > On Thu, Jul 23, 2009 at 9:14 PM, Jean-Daniel Cryans <jdcry...@apache.org
> >wrote:
> >
> >> The code itself is very simple, I was referring to your own
> >> description of your situation. You say you use standalone HBase yet
> >> you talk about Hadoop configuration. You also talk about the
> >> JobTracker web UI which is in no use since you run local jobs directly
> >> on HBase.
> >>
> >> J-D
> >>
> >> On Thu, Jul 23, 2009 at 11:41 AM, bharath
> >> vissapragada<bharathvissapragada1...@gmail.com> wrote:
> >> > I used stdout for debugging while writing codes in hadoop MR programs
> and
> >> it
> >> > worked fine ...
> >> > Can you please tell me wch part of the code u found confusing so that
> i
> >> can
> >> > explain it a bit clearly ...
> >> >
> >> >
> >> > On Thu, Jul 23, 2009 at 9:06 PM, Jean-Daniel Cryans <
> jdcry...@apache.org
> >> >wrote:
> >> >
> >> >> What you wrote is a bit confusing to me, sorry.
> >> >>
> >> >> The usual way to debug MR jobs is to define a logger and post with
> >> >> either info or debug level, not sysout like you did. I'm not even
> sure
> >> >> where the standard output is logged when using a local job. Also
> since
> >> >> this is local you won't see anything in your host:50030 web UI. So
> use
> >> >> apache common logging and you should see your output.
> >> >>
> >> >> J-D
> >> >>
> >> >> On Thu, Jul 23, 2009 at 11:13 AM, bharath
> >> >> vissapragada<bharathvissapragada1...@gmail.com> wrote:
> >> >> > Thanks for ur reply J-D ... Im pasting some part of the code ...
> >> >> >
> >> >> > Im doing it frm the command line .. Iam pasting some part of the
> code
> >> >> here
> >> >> > ....
> >> >> >
> >> >> > public void mapp(ImmutableBytesWritable row, RowResult value,
> >> >> > OutputCollector<Text, Text> output, Reporter reporter) throws
> >> IOException
> >> >> {
> >> >> > System.out.println(row);
> >> >> > }
> >> >> >
> >> >> > public JobConf createSubmittableJob(String[] args) throws
> IOException
> >> {
> >> >> > JobConf c = new JobConf(getConf(),
> >> >> MR_DS_Scan_Case1.class);
> >> >> > c.set("col.name", args[1]);
> >> >> > c.set("operator.name",args[2]);
> >> >> > c.set("val.name",args[3]);
> >> >> > IdentityTableMap.initJob(args[0], args[1],
> >> >> this.getClass(),
> >> >> > c);
> >> >> > c.setOutputFormat(NullOutputFormat.class);
> >> >> > return c
> >> >> > }
> >> >> >
> >> >> > As u can see ... im just printing the value of row in the map .. i
> >> can't
> >> >> see
> >> >> > in the terminal .....
> >> >> > I only wan't the map phase ... so i didn't write any reduce phase
> ..
> >> is
> >> >> my
> >> >> > jobConf correct??
> >> >> >
> >> >> > Also as i have already asked how to check the job logs and web
> >> interface
> >> >> > like "localhost:<port>/jobTracker.jsp"... since im running in local
> >> mode
> >> >> ...
> >> >> >
> >> >> > On Thu, Jul 23, 2009 at 6:32 PM, Jean-Daniel Cryans <
> >> jdcry...@apache.org
> >> >> >wrote:
> >> >> >
> >> >> >> What output do you need exactly? I see that you have 8 output
> records
> >> >> >> in your reduce task so if you take a look in your output folder or
> >> >> >> table (I don't know which sink you used) you should see them.
> >> >> >>
> >> >> >> Also did you run your MR inside Eclipse or in command line?
> >> >> >>
> >> >> >> Thx,
> >> >> >>
> >> >> >> J-D
> >> >> >>
> >> >> >> On Thu, Jul 23, 2009 at 8:30 AM, bharath
> >> >> >> vissapragada<bhara...@students.iiit.ac.in> wrote:
> >> >> >> > This is the output i go t.. seems everything is fine ..but no
> >> output!!
> >> >> >> >
> >> >> >> > 09/07/23 23:25:36 INFO jvm.JvmMetrics: Initializing JVM Metrics
> >> with
> >> >> >> > processName=JobTracker, sessionId=
> >> >> >> > 09/07/23 23:25:36 WARN mapred.JobClient: No job jar file set.
> User
> >> >> >> classes
> >> >> >> > may not be found. See JobConf(Class) or JobConf#setJar(String).
> >> >> >> > 09/07/23 23:25:36 INFO mapred.TableInputFormatBase: split:
> >> >> >> > 0->localhost.localdomain:,
> >> >> >> > 09/07/23 23:25:37 INFO mapred.JobClient: Running job:
> >> job_local_0001
> >> >> >> > 09/07/23 23:25:37 INFO mapred.TableInputFormatBase: split:
> >> >> >> > 0->localhost.localdomain:,
> >> >> >> > 09/07/23 23:25:37 INFO mapred.MapTask: numReduceTasks: 1
> >> >> >> > 09/07/23 23:25:37 INFO mapred.MapTask: io.sort.mb = 100
> >> >> >> > 09/07/23 23:25:37 INFO mapred.MapTask: data buffer =
> >> 79691776/99614720
> >> >> >> > 09/07/23 23:25:37 INFO mapred.MapTask: record buffer =
> >> 262144/327680
> >> >> >> > 09/07/23 23:25:37 INFO mapred.MapTask: Starting flush of map
> output
> >> >> >> > 09/07/23 23:25:37 INFO mapred.MapTask: Finished spill 0
> >> >> >> > 09/07/23 23:25:37 INFO mapred.TaskRunner:
> >> >> >> Task:attempt_local_0001_m_000000_0
> >> >> >> > is done. And is in the process of commiting
> >> >> >> > 09/07/23 23:25:37 INFO mapred.LocalJobRunner:
> >> >> >> > 09/07/23 23:25:37 INFO mapred.TaskRunner: Task
> >> >> >> > 'attempt_local_0001_m_000000_0' done.
> >> >> >> > 09/07/23 23:25:37 INFO mapred.LocalJobRunner:
> >> >> >> > 09/07/23 23:25:37 INFO mapred.Merger: Merging 1 sorted segments
> >> >> >> > 09/07/23 23:25:37 INFO mapred.Merger: Down to the last
> merge-pass,
> >> >> with 1
> >> >> >> > segments left of total size: 333 bytes
> >> >> >> > 09/07/23 23:25:37 INFO mapred.LocalJobRunner:
> >> >> >> > 09/07/23 23:25:37 INFO mapred.TaskRunner:
> >> >> >> Task:attempt_local_0001_r_000000_0
> >> >> >> > is done. And is in the process of commiting
> >> >> >> > 09/07/23 23:25:37 INFO mapred.LocalJobRunner: reduce > reduce
> >> >> >> > 09/07/23 23:25:37 INFO mapred.TaskRunner: Task
> >> >> >> > 'attempt_local_0001_r_000000_0' done.
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Job complete:
> >> job_local_0001
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Counters: 11
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: File Systems
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Local bytes
> read=38949
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Local bytes
> >> written=78378
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Map-Reduce Framework
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Reduce input
> groups=8
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Combine output
> >> records=0
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Map input records=8
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Reduce output
> >> records=8
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Map output
> bytes=315
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Map input bytes=0
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Combine input
> >> records=0
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Map output
> records=8
> >> >> >> > 09/07/23 23:25:38 INFO mapred.JobClient: Reduce input
> records=8
> >> >> >> >
> >> >> >> >
> >> >> >> > On Thu, Jul 23, 2009 at 12:17 PM, bharath vissapragada <
> >> >> >> > bhara...@students.iiit.ac.in> wrote:
> >> >> >> >
> >> >> >> >> since i haven;t started the cluster .. i can even see the
> details
> >> in
> >> >> >> >> "localhost:<port>/jobTracker.jsp" .. i didn't even add
> anything
> >> to
> >> >> >> >> hadoop/conf/hadoop-site.xml
> >> >> >> >>
> >> >> >> >>
> >> >> >> >> On Thu, Jul 23, 2009 at 12:16 PM, bharath vissapragada <
> >> >> >> >> bhara...@students.iiit.ac.in> wrote:
> >> >> >> >>
> >> >> >> >>> Hi all ,
> >> >> >> >>>
> >> >> >> >>> I wanted to run HBase in standalone mode to check my Hbase MR
> >> >> programs
> >> >> >> ...
> >> >> >> >>> I have dl a built version of hbase-0.20. and i have hadoop
> 0.19.3
> >> >> >> >>>
> >> >> >> >>> "I have set JAVA_HOME in both of them" .. then i started hbase
> >> and
> >> >> >> >>> inserted some tables using JAVA API .. Now i have written some
> MR
> >> >> >> programs
> >> >> >> >>> onHBase and when i run them on Hbase it runs perfectly without
> >> any
> >> >> >> errors
> >> >> >> >>> and all the Map -reduce statistics are displayed correctly but
> i
> >> >> get
> >> >> >> no
> >> >> >> >>> output .
> >> >> >> >>>
> >> >> >> >>> I have one doubt now .. how do HBase recognize hadoop in stand
> >> alone
> >> >> >> >>> mode(i haven;t started my hadoop even) .. Even simple print
> >> >> statements
> >> >> >> donot
> >> >> >> >>> work .. no output is displayed on the screen ... I doubt my
> >> config
> >> >> ....
> >> >> >> >>>
> >> >> >> >>> Do i need to add some config to run them ... Please reply ...
> >> >> >> >>>
> >> >> >> >>
> >> >> >> >>
> >> >> >> >
> >> >> >>
> >> >> >
> >> >>
> >> >
> >>
> >
>
