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From DAN HELM <danielh...@verizon.net>
Subject Re: Converting one large text file with multiple documents to SequenceFile format
Date Mon, 12 Nov 2012 17:27:32 GMT
CVB requires the vector input to be Key=IntWritable, Value=VectorWritable.  rowid will convert
the seq2sparse output to this format as you assumed.  But when you ran rowid I assume the
vector output was written to this file: output/matrix/Matrix
 
So, try running CVB like this:
 
mahout cvb -i output/matrix/Matrix -dict output/dictionary.file-0 -o topics -dt documents
-mt states -ow -k 100 --num_reduce_tasks 7
 
rowid creates a Matrix file but also creates a docIndex file that maps the original sparse
vector keys (Text) to the integer id's that rowid created.  I'm guessing CVB is blowing up
because it is trying to process that docIndex file.  So explicitly specify the Matrix file
as input to CVB or move the docIndex file to some other folder as I have done (before starting
CVB):
 
http://comments.gmane.org/gmane.comp.apache.mahout.user/13112
 
You may also want to check if output/matrix/Matrix  contains data, e.g.,
 
mahout seqdumper -s output/matrix/Matrix 
 
Dan

 

________________________________
 From: Nick Woodward <levar1@hotmail.com>
To: user@mahout.apache.org 
Sent: Monday, November 12, 2012 11:52 AM
Subject: RE: Converting one large text file with multiple documents to SequenceFile format
  

Diego, Thank you for your response.  There was no matrix folder in /tf-vectors from seq2sparse
so I created it with this, "mahout rowid -i output/tf-vectors -o output/matrix".  Then I
tried cvb again with the matrix folder, "mahout cvb -i output/matrix -dict output/dictionary.file-0
-o topics -dt documents -mt states -ow -k 100 --num_reduce_tasks 7".  The results were similar,
though this time it failed after 1%.  
c211-109$ mahout cvb -i output/matrix -dict output/dictionary.file-0 -o topics -dt documents
-mt states -ow -k 100 --num_reduce_tasks 7 -x 150MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR
to classpath.Warning: $HADOOP_HOME is deprecated.
Running on hadoop, using /home/01541/levar1/xsede/hadoop-1.0.3/bin/hadoop and HADOOP_CONF_DIR=/home/01541/levar1/.hadoop2/conf/MAHOUT-JOB:
/scratch/01541/levar1/lib/mahout-distribution-0.7/mahout-examples-0.7-job.jarWarning: $HADOOP_HOME
is deprecated.
WARNING: org.apache.hadoop.metrics.jvm.EventCounter is deprecated. Please use org.apache.hadoop.log.metrics.EventCounter
in all the log4j.properties files.12/11/12 09:35:13 WARN driver.MahoutDriver: No cvb.props
found on classpath, will use command-line arguments only12/11/12 09:35:13 INFO common.AbstractJob:
Command line arguments: {--convergenceDelta=[0], --dictionary=[output/dictionary.file-0],
--doc_topic_output=[documents], --doc_topic_smoothing=[0.0001], --endPhase=[2147483647], --input=[output/matrix],
--iteration_block_size=[10], --maxIter=[150], --max_doc_topic_iters=[10], --num_reduce_tasks=[7],
--num_topics=[100], --num_train_threads=[4], --num_update_threads=[1], --output=[topics],
--overwrite=null, --startPhase=[0], --tempDir=[temp], --term_topic_smoothing=[0.0001], --test_set_fraction=[0],
--topic_model_temp_dir=[states]}12/11/12 09:35:15 INFO cvb.CVB0Driver: Will run Collapsed
Variational Bayes (0th-derivative approximation) learning for
 LDA on output/matrix (numTerms: 699072), finding 100-topics, with document/topic prior 1.0E-4,
topic/term prior 1.0E-4.  Maximum iterations to run will be 150, unless the change in perplexity
is less than 0.0.  Topic model output (p(term|topic) for each topic) will be stored topics. 
Random initialization seed is 7355, holding out 0.0 of the data for perplexity check
12/11/12 09:35:15 INFO cvb.CVB0Driver: Dictionary to be used located output/dictionary.file-0p(topic|docId)
will be stored documents
12/11/12 09:35:15 INFO cvb.CVB0Driver: Current iteration number: 012/11/12 09:35:15 INFO cvb.CVB0Driver:
About to run iteration 1 of 15012/11/12 09:35:15 INFO cvb.CVB0Driver: About to run: Iteration
1 of 150, input path: states/model-012/11/12 09:35:16 INFO input.FileInputFormat: Total input
paths to process : 212/11/12 09:35:16 INFO mapred.JobClient: Running job: job_201211120919_000512/11/12
09:35:17 INFO mapred.JobClient:  map 0% reduce 0%12/11/12 10:25:25 INFO mapred.JobClient: 
map 1% reduce 0%12/11/12 10:35:46 INFO mapred.JobClient: Task Id : attempt_201211120919_0005_m_000001_0,
Status : FAILEDjava.lang.ClassCastException: org.apache.hadoop.io.Text cannot be cast to org.apache.mahout.math.VectorWritable 
      at org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper.map(CachingCVB0Mapper.java:55) 
      at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144)        at
 org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764)        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370) 
      at org.apache.hadoop.mapred.Child$4.run(Child.java:255)        at java.security.AccessController.doPrivileged(Native
Method)        at javax.security.auth.Subject.doAs(Subject.java:396)        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1121) 
      at org.apache.hadoop.mapred.Child.main(Child.java:249)
Task attempt_201211120919_0005_m_000001_0 failed to report status for 3601 seconds. Killing!

Any ideas?
Regards,Nick


> From: diego.ceccarelli@gmail.com
> Date: Mon, 12 Nov 2012 13:21:21 +0100
> Subject: Re: Converting one large text file with multiple documents to SequenceFile format
> To: user@mahout.apache.org
> 
> Dear Nick,
> 
> I experienced the same problem, the fact is that when you call cvb, it
> expects in input the folder matrix inside the output folder of
> seq2sparce,
> so instead of
> 
> mahout cvb -i output/tf-vectors -dict output/dictionary.file-0 -o
> topics -dt documents -mt states -ow -k 100 --num_reduce_tasks 7 -x 10
> 
> please try:
> 
> mahout cvb -i output/tf-vectors/matrix -dict output/dictionary.file-0
> -o topics -dt documents -mt states -ow -k 100 --num_reduce_tasks 7 -x
> 10
> 
> let me know if it solved ;)
> 
> cheers,
> Diego
> 
> On Mon, Nov 12, 2012 at 1:18 AM, Nick Woodward <levar1@hotmail.com> wrote:
> >
> > Diego,Thank you so much for the script. I used it to convert my large text file
to a sequence file. I have been trying to use the sequence file to feed Mahout's LDA implementation
(Mahout 0.7 so the CVB implementation).  I first converted the sequence file to vectors with
this, "mahout seq2sparse -i input/processedaa.seq -o output -ow -wt tf -nr 7" and then ran
the LDA with this, "mahout cvb -i output/tf-vectors -dict output/dictionary.file-0 -o topics
-dt documents -mt states -ow -k 100 --num_reduce_tasks 7 -x 10".  The seq2sparse command
produces the tf vectors alright, but the problem is that no matter what I use for parameters,
the LDA job sits at map 0% reduce 0% for an hour before outputting the error below.  It has
an error casting Text to IntWritable.  My question is when you said that the key is the line
number, what variable type is the key?  Is it Text?
> >
> > My output..."12/11/11 16:10:50 INFO common.AbstractJob: Command line arguments:
{--convergenceDelta=[0], --dictionary=[output/dictionary.file-0], --doc_topic_output=[documents],
--doc_topic_smoothing=[0.0001], --endPhase=[2147483647], --input=[output/tf-vectors], --iteration_block_size=[10],
--maxIter=[10], --max_doc_topic_iters=[10], --num_reduce_tasks=[7], --num_topics=[100], --num_train_threads=[4],
--num_update_threads=[1], --output=[topics], --overwrite=null, --startPhase=[0], --tempDir=[temp],
--term_topic_smoothing=[0.0001], --test_set_fraction=[0], --topic_model_temp_dir=[states]}12/11/11
16:10:52 INFO mapred.JobClient: Running job: job_201211111553_000512/11/11 16:10:53 INFO mapred.JobClient: 
map 0% reduce 0%12/11/11 17:11:16 INFO mapred.JobClient: Task Id : attempt_201211111553_0005_m_000003_0,
Status : FAILEDjava.lang.ClassCastException: org.apache.hadoop.io.Text cannot be cast to org.apache.hadoop.io.IntWritable
at
 org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper.map(CachingCVB0Mapper.java:55) at
org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370) at org.apache.hadoop.mapred.Child$4.run(Child.java:255)
at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1121) at
org.apache.hadoop.mapred.Child.main(Child.java:249)"
> >
> > Thank you again for your help!Nick
> >
> >
> >> From: diego.ceccarelli@gmail.com
> >> Date: Thu, 1 Nov 2012 01:07:29 +0100
> >> Subject: Re: Converting one large text file with multiple documents to SequenceFile
format
> >> To: user@mahout.apache.org
> >>
> >> Hei Nick,
> >> I had exatly the same problem ;)
> >> I wrote a simple command line utility to create a sequence
> >> file where each line of the input document is an entry
> >> (the key is the line number).
> >>
> >> https://dl.dropbox.com/u/4663256/tmp/lda-helper.jar
> >>
> >> java -cp lda-helper.jar it.cnr.isti.hpc.lda.cli.LinesToSequenceFileCLI
> >> -input tweets -output tweets.seq
> >>
> >> enjoy ;)
> >> Diego
> >>
> >> On Wed, Oct 31, 2012 at 9:30 PM, Charly Lizarralde
> >> <charly.lizarralde@gmail.com> wrote:
> >> > I don't think you need that. Just a simple mapper.
> >> >
> >> > static class IdentityMapper extends  Mapper<LongWritable, Text, Text,
Text>
> >> > {
> >> >
> >> >         @Override
> >> >         protected void map(LongWritable key, Text value, Context context)
> >> > throws IOException, InterruptedException {
> >> >
> >> >             String[] fields = value.toString().split("\t") ;
> >> >             if  ( fields.length >= 2) {
> >> >                 context.write(new Text(fields[0]), new Text(fields[1]))
> >> > ;
> >> >             }
> >> >
> >> >         }
> >> >
> >> >     }
> >> >
> >> > and then run a simple job..
> >> >
> >> >         Job text2SequenceFileJob = this.prepareJob(this.getInputPath(),
> >> > this.getOutputPath(), TextInputFormat.class, IdentityMapper.class,
> >> > Text.class, Text.class, SequenceFileOutputFormat.class) ;
> >> >
> >> >         text2SequenceFileJob.setOutputKeyClass(Text.class) ;
> >> >         text2SequenceFileJob.setOutputValueClass(Text.class) ;
> >> >         text2SequenceFileJob.setNumReduceTasks(0) ;
> >> >
> >> >         text2SequenceFileJob.waitForCompletion(true) ;
> >> >
> >> > Cheers!
> >> > Charly
> >> >
> >> > On Wed, Oct 31, 2012 at 4:57 PM, Nick Woodward <levar1@hotmail.com>
wrote:
> >> >
> >> >>
> >> >> Yeah, I've looked at filter classes, but nothing worked.  I guess
I'll do
> >> >> something similar and continuously save each line into a file and then
run
> >> >> seqdiretory.  The running time won't look good, but at least it should
> >> >> work.  Thanks for the response.
> >> >>
> >> >> Nick
> >> >>
> >> >> > From: charly.lizarralde@gmail.com
> >> >> > Date: Tue, 30 Oct 2012 18:07:58 -0300
> >> >> > Subject: Re: Converting one large text file with multiple documents
to
> >> >> SequenceFile format
> >> >> > To: user@mahout.apache.org
> >> >> >
> >> >> > I had the exact same issue and I tried to use the seqdirectory
command
> >> >> with
> >> >> > a different filter class but It did not work. It seems there's
a bug in
> >> >> the
> >> >> > mahout-0.6 code.
> >> >> >
> >> >> > It ended up as writing a custom map-reduce program that performs
just
> >> >> that.
> >> >> >
> >> >> > Greetiings!
> >> >> > Charly
> >> >> >
> >> >> > On Tue, Oct 30, 2012 at 5:00 PM, Nick Woodward <levar1@hotmail.com>
> >> >> wrote:
> >> >> >
> >> >> > >
> >> >> > > I have done a lot of searching on the web for this, but I've
found
> >> >> > > nothing, even though I feel like it has to be somewhat common.
I have
> >> >> used
> >> >> > > Mahout's 'seqdirectory' command to convert a folder containing
text
> >> >> files
> >> >> > > (each file is a separate document) in the past. But in this
case there
> >> >> are
> >> >> > > so many documents (in the 100,000s) that I have one very
large text
> >> >> file in
> >> >> > > which each line is a document. How can I convert this large
file to
> >> >> > > SequenceFile format so that Mahout understands that each
line should be
> >> >> > > considered a separate document?  Would it be better if the
file was
> >> >> > > structured like so....docId1 {tab} document textdocId2 {tab}
document
> >> >> > > textdocId3 {tab} document text...
> >> >> > >
> >> >> > > Thank you very much for any help.Nick
> >> >> > >
> >> >>
> >> >>
> >>
> >>
> >>
> >> --
> >> Computers are useless. They can only give you answers.
> >> (Pablo Picasso)
> >> _______________
> >> Diego Ceccarelli
> >> High Performance Computing Laboratory
> >> Information Science and Technologies Institute (ISTI)
> >> Italian National Research Council (CNR)
> >> Via Moruzzi, 1
> >> 56124 - Pisa - Italy
> >>
> >> Phone: +39 050 315 3055
> >> Fax: +39 050 315 2040
> >> ________________________________________
> >
> 
> 
> 
> -- 
> Computers are useless. They can only give you answers.
> (Pablo Picasso)
> _______________
> Diego Ceccarelli
> High Performance Computing Laboratory
> Information Science and Technologies Institute (ISTI)
> Italian National Research Council (CNR)
> Via Moruzzi, 1
> 56124 - Pisa - Italy
> 
> Phone: +39 050 315 3055
> Fax: +39 050 315 2040
> ________________________________________
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