I am getting the following exception when i tried executing the Mahout KMeans
algorithm.
$ $MAHOUT_HOME/bin/mahout
org.apache.mahout.clustering.syntheticcontrol.kmeans.JobWarning: $HADOOP_HOME
is deprecated.
Running on hadoop, using /data/hadoop-1.0.1/bin/hadoop and
HADOOP_CONF_DIR=MAHOUT-JOB:
/home/hadoop/anbu/mahout/mahout-distribution-0.7/mahout-examples-0.7-job.jarWarning:
$HADOOP_HOME is deprecated.
13/02/04 15:09:24 WARN driver.MahoutDriver: No
org.apache.mahout.clustering.syntheticcontrol.kmeans.Job.props found on
classpath, will use command-line arguments only13/02/04 15:09:24 INFO
kmeans.Job: Running with default arguments13/02/04 15:09:27 INFO
common.HadoopUtil: Deleting output13/02/04 15:09:27 INFO kmeans.Job: Preparing
Input13/02/04 15:09:27 WARN mapred.JobClient: Use GenericOptionsParser for
parsing the arguments. Applications should implement Tool for the
same.****hdfs://localhost:54310/user/hadoop/testdata13/02/04 15:09:30 INFO
input.FileInputFormat: Total input paths to process : 113/02/04 15:09:31 INFO
mapred.JobClient: Running job: job_201302041411_000313/02/04 15:09:32 INFO
mapred.JobClient: map 0% reduce 0%13/02/04 15:10:10 INFO mapred.JobClient:
map 100% reduce 0%13/02/04 15:10:21 INFO mapred.JobClient: Job complete:
job_201302041411_000313/02/04 15:10:21 INFO mapred.JobClient: Counters:
1913/02/04 15:10:21 INFO mapred.JobClient: Job Counters13/02/04 15:10:21 INFO
mapred.JobClient: SLOTS_MILLIS_MAPS=3262113/02/04 15:10:21 INFO
mapred.JobClient: Total time spent by all reduces waiting after reserving
slots (ms)=013/02/04 15:10:21 INFO mapred.JobClient: Total time spent by
all maps waiting after reserving slots (ms)=013/02/04 15:10:21 INFO
mapred.JobClient: Launched map tasks=113/02/04 15:10:21 INFO
mapred.JobClient: Data-local map tasks=113/02/04 15:10:21 INFO
mapred.JobClient: SLOTS_MILLIS_REDUCES=013/02/04 15:10:21 INFO
mapred.JobClient: File Output Format Counters13/02/04 15:10:21 INFO
mapred.JobClient: Bytes Written=33547013/02/04 15:10:21 INFO
mapred.JobClient: FileSystemCounters13/02/04 15:10:21 INFO mapred.JobClient:
HDFS_BYTES_READ=28850513/02/04 15:10:21 INFO mapred.JobClient:
FILE_BYTES_WRITTEN=2143413/02/04 15:10:21 INFO mapred.JobClient:
HDFS_BYTES_WRITTEN=33547013/02/04 15:10:21 INFO mapred.JobClient: File Input
Format Counters13/02/04 15:10:21 INFO mapred.JobClient: Bytes
Read=28837413/02/04 15:10:21 INFO mapred.JobClient: Map-Reduce
Framework13/02/04 15:10:21 INFO mapred.JobClient: Map input
records=60013/02/04 15:10:21 INFO mapred.JobClient: Physical memory (bytes)
snapshot=6834995213/02/04 15:10:21 INFO mapred.JobClient: Spilled
Records=013/02/04 15:10:21 INFO mapred.JobClient: CPU time spent
(ms)=338013/02/04 15:10:21 INFO mapred.JobClient: Total committed heap
usage (bytes)=2634547213/02/04 15:10:21 INFO mapred.JobClient: Virtual
memory (bytes) snapshot=192717619213/02/04 15:10:21 INFO mapred.JobClient:
Map output records=60013/02/04 15:10:21 INFO mapred.JobClient:
SPLIT_RAW_BYTES=13113/02/04 15:10:21 INFO kmeans.Job: Running random seed to
get initial clusters13/02/04 15:10:21 INFO util.NativeCodeLoader: Loaded the
native-hadoop library13/02/04 15:10:21 INFO zlib.ZlibFactory: Successfully
loaded & initialized native-zlib library13/02/04 15:10:21 INFO
compress.CodecPool: Got brand-new compressor13/02/04 15:10:24 INFO
kmeans.RandomSeedGenerator: Wrote 6 Klusters to
output/clusters-0/part-randomSeed13/02/04 15:10:24 INFO kmeans.Job: Running
KMeans13/02/04 15:10:24 INFO kmeans.KMeansDriver: Input: output/data Clusters
In: output/clusters-0/part-randomSeed Out: output Distance:
org.apache.mahout.common.distance.EuclideanDistanceMeasure13/02/04 15:10:24
INFO kmeans.KMeansDriver: convergence: 0.5 max Iterations: 10 num Reduce Tasks:
org.apache.mahout.math.VectorWritable Input Vectors: {}Exception in thread
"main" java.lang.NoSuchMethodError:
com.google.common.collect.Iterators.forArray([Ljava/lang/Object;)Lcom/google/common/collect/UnmodifiableIterator;
at
org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator.init(SequenceFileDirValueIterator.java:114)
at
org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator.<init>(SequenceFileDirValueIterator.java:73)
at
org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterable.iterator(SequenceFileDirValueIterable.java:76)
at
org.apache.mahout.clustering.kmeans.KMeansUtil.configureWithClusterInfo(KMeansUtil.java:51)
at
org.apache.mahout.clustering.kmeans.KMeansDriver.buildClusters(KMeansDriver.java:215)
at
org.apache.mahout.clustering.kmeans.KMeansDriver.run(KMeansDriver.java:149)
at
org.apache.mahout.clustering.syntheticcontrol.kmeans.Job.run(Job.java:134)
at org.apache.mahout.clustering.syntheticcontrol.kmeans.Job.main(Job.java:59)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:601) 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:195)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:601) at
org.apache.hadoop.util.RunJar.main(RunJar.java:156)
Thanks,Anbu.
