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https://issues.apache.org/jira/browse/MAHOUT-694?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13037112#comment-13037112
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Drew Farris commented on MAHOUT-694:
------------------------------------
Matt, do you by any chance have a copy of reuters-out on hdfs in
./examples/bin/work/reuters-out?
> IndexOutOfBoundException using build-reuters.sh
> -----------------------------------------------
>
> Key: MAHOUT-694
> URL: https://issues.apache.org/jira/browse/MAHOUT-694
> Project: Mahout
> Issue Type: Bug
> Components: Clustering
> Affects Versions: 0.5
> Environment: Linux Debian Lenny
> Hadoop 0.20 (Cloudera)
> Reporter: Allan BLANCHARD
> Assignee: Drew Farris
> Fix For: 0.5
>
> Attachments: MAHOUT-694.patch, MAHOUT-694.patch
>
>
> I run Hadoop-0.20 on distributed mode on 10 VMs (NameNode + JobTracker + 8
> DataNodes/TaskTrackers) with Mahout trunk.
> I tried to test kmeans example with build-reuters.sh but I got an
> IndexOutOfBoundException when it starts kmeans.
> I don't know which operation fails ... ExtractReuters, seqdirectory,
> seq2sparse or kmeans. Maybe I forgot a configuration ? I searched on the web
> and didn't find solutions ...
> ------------------------ UPDATE == 05/16 -------------------------
> NameNode:/usr/local/mahout/trunk/examples/bin# ./build-reuters.sh
> Please select a number to choose the corresponding clustering algorithm
> 1. kmeans clustering
> 2. lda clustering
> Enter your choice : 1
> ok. You chose 1 and we'll use kmeans Clustering
> ./build-reuters.sh: line 39: cd: examples/bin/: No such file or directory
> Downloading Reuters-21578
> % Total % Received % Xferd Average Speed Time Time Time
> Current
> Dload Upload Total Spent Left Speed
> 100 7959k 100 7959k 0 0 121k 0 0:01:05 0:01:05 --:--:-- 99k
> Extracting...
> Running on hadoop, using HADOOP_HOME=/usr/lib/hadoop-0.20
> No HADOOP_CONF_DIR set, using /usr/lib/hadoop-0.20/src/conf
> 11/05/16 09:31:20 WARN driver.MahoutDriver: No
> org.apache.lucene.benchmark.utils.ExtractReuters.props found on classpath,
> will use command-line arguments only
> Deleting all files in ./examples/bin/work/reuters-out/-tmp
> 11/05/16 09:31:24 INFO driver.MahoutDriver: Program took 3471 ms
> Running on hadoop, using HADOOP_HOME=/usr/lib/hadoop-0.20
> No HADOOP_CONF_DIR set, using /usr/lib/hadoop-0.20/src/conf
> 11/05/16 09:31:26 INFO common.AbstractJob: Command line arguments:
> {--charset=UTF-8, --chunkSize=5, --endPhase=2147483647,
> --fileFilterClass=org.apache.mahout.text.PrefixAdditionFilter,
> --input=./examples/bin/work/reuters-out/, --keyPrefix=,
> --output=./examples/bin/work/reuters-out-seqdir, --startPhase=0,
> --tempDir=temp}
> 11/05/16 09:31:26 INFO driver.MahoutDriver: Program took 398 ms
> Running on hadoop, using HADOOP_HOME=/usr/lib/hadoop-0.20
> No HADOOP_CONF_DIR set, using /usr/lib/hadoop-0.20/src/conf
> 11/05/16 09:31:28 INFO vectorizer.SparseVectorsFromSequenceFiles: Maximum
> n-gram size is: 1
> 11/05/16 09:31:28 INFO vectorizer.SparseVectorsFromSequenceFiles: Minimum LLR
> value: 1.0
> 11/05/16 09:31:28 INFO vectorizer.SparseVectorsFromSequenceFiles: Number of
> reduce tasks: 1
> 11/05/16 09:31:29 INFO input.FileInputFormat: Total input paths to process : 1
> 11/05/16 09:31:29 INFO mapred.JobClient: Running job: job_201105160929_0001
> 11/05/16 09:31:30 INFO mapred.JobClient: map 0% reduce 0%
> 11/05/16 09:31:40 INFO mapred.JobClient: map 100% reduce 0%
> 11/05/16 09:31:42 INFO mapred.JobClient: Job complete: job_201105160929_0001
> [...]
> 11/05/16 09:33:58 INFO common.HadoopUtil: Deleting
> examples/bin/work/reuters-out-seqdir-sparse/partial-vectors-0
> 11/05/16 09:33:58 INFO driver.MahoutDriver: Program took 149846 ms
> Running on hadoop, using HADOOP_HOME=/usr/lib/hadoop-0.20
> No HADOOP_CONF_DIR set, using /usr/lib/hadoop-0.20/src/conf
> 11/05/16 09:34:00 INFO common.AbstractJob: Command line arguments:
> {--clusters=./examples/bin/work/clusters, --convergenceDelta=0.5,
> --distanceMeasure=org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure,
> --endPhase=2147483647,
> --input=./examples/bin/work/reuters-out-seqdir-sparse/tfidf-vectors/,
> --maxIter=10, --method=mapreduce, --numClusters=20,
> --output=./examples/bin/work/reuters-kmeans, --overwrite=null,
> --startPhase=0, --tempDir=temp}
> 11/05/16 09:34:00 INFO util.NativeCodeLoader: Loaded the native-hadoop library
> 11/05/16 09:34:00 INFO zlib.ZlibFactory: Successfully loaded & initialized
> native-zlib library
> 11/05/16 09:34:00 INFO compress.CodecPool: Got brand-new compressor
> Exception in thread "main" java.lang.IndexOutOfBoundsException: Index: 0,
> Size: 0
> at java.util.ArrayList.RangeCheck(ArrayList.java:547)
> at java.util.ArrayList.get(ArrayList.java:322)
> at
> org.apache.mahout.clustering.kmeans.RandomSeedGenerator.buildRandom(RandomSeedGenerator.java:108)
> at
> org.apache.mahout.clustering.kmeans.KMeansDriver.run(KMeansDriver.java:101)
> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
> at
> org.apache.mahout.clustering.kmeans.KMeansDriver.main(KMeansDriver.java:58)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
> at java.lang.reflect.Method.invoke(Method.java:597)
> at
> org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:68)
> at org.apache.hadoop.util.ProgramDriver.driver(ProgramDriver.java:139)
> at org.apache.mahout.driver.MahoutDriver.main(MahoutDriver.java:187)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
> at java.lang.reflect.Method.invoke(Method.java:597)
> at org.apache.hadoop.util.RunJar.main(RunJar.java:186)
> ------------------------------------------------------------------
> EDIT : I just tried this on Mahout 0.4 and it seems to work (I use the same
> VM configuration).
> PS : Sorry for my very bad english :(
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