Joe,
I don't think it is the disk space that could be the problem because I
did have enough disk space (well, not 81GB, but around 40GB free) . I
will try if the suggestions in the thread you mentioned make any
difference. Will keep you posted.

Thank you

On Fri, Sep 17, 2010 at 11:33 PM, Joe Kumar <[email protected]> wrote:
> Gangadhar,
>
> I couldnt find any concrete reason behind this error. Some of them have
> reported this to happen very sporadic. As per some suggestions in this
> thread (
> http://www.mail-archive.com/[email protected]/msg09250.html) , I
> have changed the location of hadoop tmp dir. Also I have cleaned up some
> space in my laptop (now having 81GB of free space) and have started the job
> again. I m trying to see if freeing up space helps. I'll post any progress.
>
> Has anyone else faced similar issues. Would appreciate feedbacks / thots.
>
> reg
> Joe.
>
>
> On Fri, Sep 17, 2010 at 8:36 PM, Gangadhar Nittala
> <[email protected]>wrote:
>
>> Thank you Joe for the confirmation. I am also checking the code to see
>> what is causing this issue. May be others in the list will know what
>> can cause this issue. I am guessing the root cause is not Mahout but
>> something in Hadoop.
>>
>> On Thu, Sep 16, 2010 at 11:34 PM, Joe Kumar <[email protected]> wrote:
>> > Gangadhar,
>> >
>> > After some system issues, I finally ran the TrainClassifier. After almost
>> > 65% into the map job, I got the same error that you have mentioned.
>> > INFO mapred.JobClient: Task Id : attempt_201009160819_0002_m_000000_0,
>> > Status : FAILED
>> > org.apache.hadoop.util.DiskChecker$DiskErrorException: Could not find any
>> > valid local directory for
>> >
>> taskTracker/jobcache/job_201009160819_0002/attempt_201009160819_0002_m_000000_0/output/file.out
>> > at
>> >
>> org.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.getLocalPathForWrite(LocalDirAllocator.java:343)
>> > ...
>> > Havent yet analyzed the root cause / solution but just wanted to confirm
>> > that I am facing the same issue as you do.
>> > I'll try to search / analyze and post more details.
>> >
>> > reg,
>> > Joe.
>> >
>> > On Wed, Sep 15, 2010 at 10:20 PM, Joe Kumar <[email protected]> wrote:
>> >
>> >> Hi Gangadhar,
>> >>
>> >> rite. I did the same to execute the TrainClassifier but then since the
>> >> default datasource is hdfs, we should not be mandated to provide this
>> >> parameter.
>> >> I havent completed executing the TrainClassifier yet. I'll do it tonite
>> and
>> >> let you know if I get into trouble.
>> >>
>> >> reg,
>> >> Joe.
>> >>
>> >>
>> >> On Wed, Sep 15, 2010 at 9:41 PM, Gangadhar Nittala <
>> >> [email protected]> wrote:
>> >>
>> >>> I ran into the issue that Joe mentioned about the command line
>> >>> parameters. I just added the datasource to the command line to execute
>> >>> thus
>> >>>  $HADOOP_HOME/bin/hadoop jar
>> >>> $MAHOUT_HOME/examples/target/mahout-examples-0.4-SNAPSHOT.job
>> >>> org.apache.mahout.classifier.bayes.TrainClassifier --gramSize 3
>> >>> --input wikipediainput10 --output wikipediamodel10 --classifierType
>> >>> bayes --dataSource hdfs
>> >>>
>> >>> On a related note, Joe, were you able to run the TrainClassifier
>> >>> without any errors ? When I tried this, the map-reduce job would abort
>> >>> always at 99%. I tried the example that was given in the wiki with
>> >>> both subjects and countries. I even reduced the list of countries in
>> >>> the country.txt assuming that was what was causing the issue. No
>> >>> matter what, the classifier task fails. And the exception in the task
>> >>> log :
>> >>>
>> >>> 10-09-14 08:25:27,026 INFO org.apache.hadoop.mapred.MapTask: bufstart
>> >>> = 41271492; bufend = 58259002; bufvoid = 99614720
>> >>> 2010-09-14 08:25:27,026 INFO org.apache.hadoop.mapred.MapTask: kvstart
>> >>> = 196379; kvend = 130842; length = 327680
>> >>> 2010-09-14 08:25:48,136 INFO org.apache.hadoop.mapred.MapTask:
>> >>> Finished spill 287
>> >>> 2010-09-14 08:25:48,417 INFO org.apache.hadoop.mapred.MapTask:
>> >>> Starting flush of map output
>> >>> 2010-09-14 08:26:00,386 INFO org.apache.hadoop.mapred.MapTask:
>> >>> Finished spill 288
>> >>> 2010-09-14 08:26:08,765 WARN org.apache.hadoop.mapred.TaskTracker:
>> >>> Error running child
>> >>> org.apache.hadoop.util.DiskChecker$DiskErrorException: Could not find
>> >>> any valid local directory for
>> >>>
>> >>>
>> taskTracker/jobcache/job_201009132133_0002/attempt_201009132133_0002_m_000001_3/output/file.out
>> >>>        at
>> >>>
>> org.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.getLocalPathForWrite(LocalDirAllocator.java:343)
>> >>>        at
>> >>>
>> org.apache.hadoop.fs.LocalDirAllocator.getLocalPathForWrite(LocalDirAllocator.java:124)
>> >>>        at
>> >>>
>> org.apache.hadoop.mapred.MapOutputFile.getOutputFileForWrite(MapOutputFile.java:61)
>> >>>        at
>> >>>
>> org.apache.hadoop.mapred.MapTask$MapOutputBuffer.mergeParts(MapTask.java:1469)
>> >>>        at
>> >>>
>> org.apache.hadoop.mapred.MapTask$MapOutputBuffer.flush(MapTask.java:1154)
>> >>>        at
>> org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:359)
>> >>>        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:307)
>> >>>        at org.apache.hadoop.mapred.Child.main(Child.java:170)
>> >>>
>> >>> I checked the hadoop JIRA and this seems to be fixed already
>> >>> https://issues.apache.org/jira/browse/HADOOP-4963. I am not sure what
>> >>> I am doing wrong. Any suggestions to what I need to change to get this
>> >>> fixed will be very helpful. I have been struggling with this for a
>> >>> while now.
>> >>>
>> >>> Thank you
>> >>>
>> >>> On Wed, Sep 15, 2010 at 1:16 AM, Joe Kumar <[email protected]> wrote:
>> >>> > Robin,
>> >>> >
>> >>> > sure. I'll submit a patch.
>> >>> >
>> >>> > The command line flag already has the default behavior specified.
>> >>> >  --classifierType (-type) classifierType    Type of classifier:
>> >>> > bayes|cbayes.
>> >>> >                                             Default: bayes
>> >>> >
>> >>> >  --dataSource (-source) dataSource          Location of model:
>> >>> hdfs|hbase.
>> >>> >
>> >>> >                                             Default Value: hdfs
>> >>> > So there is no change in the flag description.
>> >>> >
>> >>> > reg,
>> >>> > Joe.
>> >>> >
>> >>> >
>> >>> > On Wed, Sep 15, 2010 at 1:10 AM, Robin Anil <[email protected]>
>> >>> wrote:
>> >>> >
>> >>> >> On Wed, Sep 15, 2010 at 10:26 AM, Joe Kumar <[email protected]>
>> >>> wrote:
>> >>> >>
>> >>> >> > Hi all,
>> >>> >> >
>> >>> >> > As I was going through wikipedia example, I encountered a
>> situation
>> >>> with
>> >>> >> > TrainClassifier wherein some of the options with default values
>> are
>> >>> >> > actually
>> >>> >> > mandatory.
>> >>> >> > The documentation / command line help says that
>> >>> >> >
>> >>> >> >   1. default source (--datasource) is hdfs but TrainClassifier
>> >>> >> >   has withRequired(true) while building the --datasource option.
>> We
>> >>> are
>> >>> >> >   checking if the dataSourceType is hbase else set it to hdfs. so
>> >>> >> >   ideally withRequired should be set to false
>> >>> >> >   2. default --classifierType is bayes but withRequired is set to
>> >>> true
>> >>> >> and
>> >>> >> >   we have code like
>> >>> >> >
>> >>> >> > if ("bayes".equalsIgnoreCase(classifierType)) {
>> >>> >> >        log.info("Training Bayes Classifier");
>> >>> >> >        trainNaiveBayes(inputPath, outputPath, params);
>> >>> >> >
>> >>> >> >      } else if ("cbayes".equalsIgnoreCase(classifierType)) {
>> >>> >> >        log.info("Training Complementary Bayes Classifier");
>> >>> >> >        // setup the HDFS and copy the files there, then run the
>> >>> trainer
>> >>> >> >        trainCNaiveBayes(inputPath, outputPath, params);
>> >>> >> >      }
>> >>> >> >
>> >>> >> > which should be changed to
>> >>> >> >
>> >>> >> > *if ("cbayes".equalsIgnoreCase(classifierType)) {*
>> >>> >> >        log.info("Training Complementary Bayes Classifier");
>> >>> >> >        trainCNaiveBayes(inputPath, outputPath, params);
>> >>> >> >
>> >>> >> >      } *else  {*
>> >>> >> >        log.info("Training  Bayes Classifier");
>> >>> >> >        // setup the HDFS and copy the files there, then run the
>> >>> trainer
>> >>> >> >        trainNaiveBayes(inputPath, outputPath, params);
>> >>> >> >      }
>> >>> >> >
>> >>> >> > Please let me know if this looks valid and I'll submit a patch for
>> a
>> >>> JIRA
>> >>> >> > issue.
>> >>> >> >
>> >>> >> > +1 all valid. , Go ahead and fix it and in the cmdline flags write
>> >>> the
>> >>> >> default behavior in the flag description
>> >>> >>
>> >>> >>
>> >>> >> > reg
>> >>> >> > Joe.
>> >>> >> >
>> >>> >>
>> >>> >
>> >>>
>> >>
>> >>
>> >>
>> >>
>> >>
>> >
>>
>

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