mahout0.9的安装和配置（1）
Mahout0.9的安装和配置（1）
------------------
Mahout是Hadoop的一种高级应用。运行Mahout需要提前安装好Hadoop。Hadoop的安装网上很多，并不复杂，这里不再讲述，接下来阐述怎么安装Mahout。
本人使用的环境是windows7_64位操作系统、wmware 10、ubuntu 64位 14.0 、hadoop2.2.0、mahout 0.9,虚拟机内存1个G
1：下载二进制解压安装。
到http://pan.baidu.com/s/1sjPR809下载，我选择下载二进制包，直接解压及可。
hadoop@master1:~/tools$ tar -zxvf mahout-distribution-0.9.tar.gz
2：配置环境变量：在/etc/profile中添加如下红色信息
#set java environment
export JAVA_HOME=/home/hadoop/tools/jdk
export JRE_HOME=/home/hadoop/tools/jdk/jre
export HADOOP_HOME=/home/hadoop/tools/hadoop
export MAHOUT_HOME=/home/hadoop/tools/mahout-distribution-0.9
export MAVEN_HOME=/home/hadoop/tools/apache-maven-3.2.3
export PATH=/home/hadoop/tools/ecli1/eclipse:$JAVA_HOME/bin:$HADOOP_HOME/bin:$MAVEN_HOME/bin:$MAHOUT_HOME/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
3：启动hadoop，也可以用伪分布式来测试
4：mahout --help #检查Mahout是否安装完好，看是否列出了一些算法
hadoop@master1:~/tools$ mahout --help
Running on hadoop, using /home/hadoop/tools/hadoop/bin/hadoop and HADOOP_CONF_DIR=
MAHOUT-JOB: /home/hadoop/tools/mahout-distribution-0.9/mahout-examples-0.9-job.jar
Unknown program '--help' chosen.
Valid program names are:
arff.vector: : Generate Vectors from an ARFF file or directory
baumwelch: : Baum-Welch algorithm for unsupervised HMM training
canopy: : Canopy clustering
cat: : Print a file or resource as the logistic regression models would see it
cleansvd: : Cleanup and verification of SVD output
clusterdump: : Dump cluster output to text
clusterpp: : Groups Clustering Output In Clusters
cmdump: : Dump confusion matrix in HTML or text formats
concatmatrices: : Concatenates 2 matrices of same cardinality into a single matrix
cvb: : LDA via Collapsed Variation Bayes (0th deriv. approx)
cvb0_local: : LDA via Collapsed Variation Bayes, in memory locally.
evaluateFactorization: : compute RMSE and MAE of a rating matrix factorization against probes
fkmeans: : Fuzzy K-means clustering
hmmpredict: : Generate random sequence of observations by given HMM
itemsimilarity: : Compute the item-item-similarities for item-based collaborative filtering
kmeans: : K-means clustering
lucene.vector: : Generate Vectors from a Lucene index
lucene2seq: : Generate Text SequenceFiles from a Lucene index
matrixdump: : Dump matrix in CSV format
matrixmult: : Take the product of two matrices
parallelALS: : ALS-WR factorization of a rating matrix
qualcluster: : Runs clustering experiments and summarizes results in a CSV
recommendfactorized: : Compute recommendations using the factorization of a rating matrix
recommenditembased: : Compute recommendations using item-based collaborative filtering
regexconverter: : Convert text files on a per line basis based on regular expressions
resplit: : Splits a set of SequenceFiles into a number of equal splits
rowid: : Map SequenceFile<Text,VectorWritable> to {SequenceFile<IntWritable,VectorWritable>, SequenceFile<IntWritable,Text>}
rowsimilarity: : Compute the pairwise similarities of the rows of a matrix
runAdaptiveLogistic: : Score new production data using a probably trained and validated Adapt ivelogisticRegression model
runlogistic: : Run a logistic regression model against CSV data
seq2encoded: : Encoded Sparse Vector generation from Text sequence files
seq2sparse: : Sparse Vector generation from Text sequence files
seqdirectory: : Generate sequence files (of Text) from a directory
seqdumper: : Generic Sequence File dumper
seqmailarchives: : Creates SequenceFile from a directory containing gzipped mail archives
seqwiki: : Wikipedia xml dump to sequence file
spectralkmeans: : Spectral k-means clustering
split: : Split Input data into test and train sets
splitDataset: : split a rating dataset into training and probe parts
ssvd: : Stochastic SVD
streamingkmeans: : Streaming k-means clustering
svd: : Lanczos Singular Value Decomposition
testnb: : Test the Vector-based Bayes classifier
trainAdaptiveLogistic: : Train an AdaptivelogisticRegression model
trainlogistic: : Train a logistic regression using stochastic gradient descent
trainnb: : Train the Vector-based Bayes classifier
transpose: : Take the transpose of a matrix
validateAdaptiveLogistic: : Validate an AdaptivelogisticRegression model against hold-out dat a set
vecdist: : Compute the distances between a set of Vectors (or Cluster or Canopy, they must fi t in memory) and a list of Vectors
vectordump: : Dump vectors from a sequence file to text
viterbi: : Viterbi decoding of hidden states from given output states sequence
5：mahout使用准备
a.下载一个文件synthetic_control.data，下载地址http://pan.baidu.com/s/1sjPR809，并把这个文件放在$MAHOUT_HOME目录下。
b.启动Hadoop：$HADOOP_HOME/bin/start-all.sh
c.创建测试目录testdata，并把数据导入到这个tastdata目录中(这里的目录的名字只能是testdata)
hadoop@master1:~/tools$ hadoop fs -mkdir testdata #
hadoop@master1:~/tools$ hadoop fs -put /home/hadoop/tools/mahout-distribution-0.9/synthetic_control.data testdata
d.使用kmeans算法(这会运行14分钟左右)
hadoop@ubuntu:~/tools$ hadoop jar /home/hadoop/tools/mahout-distribution-0.9/mahout-examples-0.9-job.jar org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
e.查看结果
hadoop@ubuntu:~/tools$ hadoop fs -lsr output
如果看到以下结果那么算法运行成功，你的安装也就成功了。
clusteredPoints
clusters-0
clusters-1
clusters-10
clusters-2
clusters-3
clusters-4
clusters-5
clusters-6
clusters-7
clusters-8
clusters-9
data
下面是运行的输出结果：
hadoop@master1:~/tools/hadoop$ hadoop jar /home/hadoop/tools/mahout-distribution-0.9/mahout-exa mples-0.9-job.jar org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
15/04/06 00:49:46 INFO kmeans.Job: Running with default arguments
15/04/06 00:49:49 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your pla tform... using builtin-java classes where applicable
15/04/06 00:50:07 INFO common.HadoopUtil: Deleting output
15/04/06 00:50:09 INFO kmeans.Job: Preparing Input
15/04/06 00:50:14 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 00:50:25 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed . Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 00:50:34 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 00:50:35 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 00:50:36 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapredu ce.job.user.name
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapred uce.job.jar
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.reduce.tasks is deprecated. Instead, u se mapreduce.job.reduces
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.output.value.class is deprecated. Inst ead, use mapreduce.job.output.value.class
15/04/06 00:50:36 INFO Configuration.deprecation: mapreduce.map.class is deprecated. Instead, u se mapreduce.job.map.class
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use m apreduce.job.name
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
15/04/06 00:50:36 INFO Configuration.deprecation: mapreduce.outputformat.class is deprecated. I nstead, use mapreduce.job.outputformat.class
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instea d, use mapreduce.job.output.key.class
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, us e mapreduce.job.working.dir
15/04/06 00:50:37 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_000 1
15/04/06 00:50:43 INFO impl.YarnClientImpl: Submitted application application_1428251627148_000 1 to ResourceManager at /0.0.0.0:8032
15/04/06 00:50:43 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/appli cation_1428251627148_0001/
15/04/06 00:50:43 INFO mapreduce.Job: Running job: job_1428251627148_0001
15/04/06 00:52:26 INFO mapreduce.Job: Job job_1428251627148_0001 running in uber mode : false
15/04/06 00:52:26 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 00:53:30 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 00:53:36 INFO mapreduce.Job: Job job_1428251627148_0001 completed successfully
15/04/06 00:53:36 INFO mapreduce.Job: Counters: 27
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=78972
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=289102
HDFS: Number of bytes written=335470
HDFS: Number of read operations=5
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=59252
Total time spent by all reduces in occupied slots (ms)=0
Map-Reduce Framework
Map input records=600
Map output records=600
Input split bytes=130
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=116
CPU time spent (ms)=2180
Physical memory (bytes) snapshot=83238912
Virtual memory (bytes) snapshot=664920064
Total committed heap usage (bytes)=15663104
File Input Format Counters
Bytes Read=288972
File Output Format Counters
Bytes Written=335470
15/04/06 00:53:36 INFO kmeans.Job: Running random seed to get initial clusters
15/04/06 00:53:37 INFO compress.CodecPool: Got brand-new compressor [.deflate]
15/04/06 00:53:43 INFO kmeans.RandomSeedGenerator: Wrote 6 Klusters to output/random-seeds/part -randomSeed
15/04/06 00:53:48 INFO kmeans.Job: Running KMeans with k = 6
15/04/06 00:53:48 INFO kmeans.KMeansDriver: Input: output/data Clusters In: output/random-seeds /part-randomSeed Out: output
15/04/06 00:53:48 INFO kmeans.KMeansDriver: convergence: 0.5 max Iterations: 10
15/04/06 00:53:49 INFO compress.CodecPool: Got brand-new decompressor [.deflate]
15/04/06 00:53:49 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 00:53:49 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed . Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 00:53:51 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 00:53:51 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 00:53:51 INFO Configuration.deprecation: mapred.mapoutput.value.class is deprecated. I nstead, use mapreduce.map.output.value.class
15/04/06 00:53:51 INFO Configuration.deprecation: mapreduce.reduce.class is deprecated. Instead , use mapreduce.job.reduce.class
15/04/06 00:53:51 INFO Configuration.deprecation: mapreduce.inputformat.class is deprecated. In stead, use mapreduce.job.inputformat.class
15/04/06 00:53:51 INFO Configuration.deprecation: mapred.mapoutput.key.class is deprecated. Ins tead, use mapreduce.map.output.key.class
15/04/06 00:53:51 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_000 2
15/04/06 00:53:51 INFO impl.YarnClientImpl: Submitted application application_1428251627148_000 2 to ResourceManager at /0.0.0.0:8032
15/04/06 00:53:51 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/appli cation_1428251627148_0002/
15/04/06 00:53:51 INFO mapreduce.Job: Running job: job_1428251627148_0002
15/04/06 00:54:23 INFO mapreduce.Job: Job job_1428251627148_0002 running in uber mode : false
15/04/06 00:54:23 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 00:55:17 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 00:57:46 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 00:57:56 INFO mapreduce.Job: Job job_1428251627148_0002 completed successfully
15/04/06 00:57:59 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=10650
FILE: Number of bytes written=181471
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=358673
HDFS: Number of bytes written=7581
HDFS: Number of read operations=37
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=52147
Total time spent by all reduces in occupied slots (ms)=146348
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=10620
Map output materialized bytes=10650
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=10650
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=393
CPU time spent (ms)=5800
Physical memory (bytes) snapshot=281878528
Virtual memory (bytes) snapshot=1349042176
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 00:58:04 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 00:58:08 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 00:58:13 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 00:58:15 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 00:58:16 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0003
15/04/06 00:58:18 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0003 to ResourceManager at /0.0.0.0:8032
15/04/06 00:58:19 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0003/
15/04/06 00:58:19 INFO mapreduce.Job: Running job: job_1428251627148_0003
15/04/06 00:59:17 INFO mapreduce.Job: Job job_1428251627148_0003 running in uber mode : false
15/04/06 00:59:17 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:01:16 INFO mapreduce.Job: map 67% reduce 0%
15/04/06 01:01:23 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:02:26 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:02:30 INFO mapreduce.Job: Job job_1428251627148_0003 completed successfully
15/04/06 01:02:30 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=129284
Total time spent by all reduces in occupied slots (ms)=46791
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=392
CPU time spent (ms)=5450
Physical memory (bytes) snapshot=282722304
Virtual memory (bytes) snapshot=1341513728
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:02:32 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:02:32 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:02:40 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:02:41 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:02:41 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0004
15/04/06 01:02:41 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0004 to ResourceManager at /0.0.0.0:8032
15/04/06 01:02:41 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0004/
15/04/06 01:02:41 INFO mapreduce.Job: Running job: job_1428251627148_0004
15/04/06 01:03:10 INFO mapreduce.Job: Job job_1428251627148_0004 running in uber mode : false
15/04/06 01:03:10 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:03:49 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:04:26 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:04:28 INFO mapreduce.Job: Job job_1428251627148_0004 completed successfully
15/04/06 01:04:29 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=33827
Total time spent by all reduces in occupied slots (ms)=31241
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=296
CPU time spent (ms)=4960
Physical memory (bytes) snapshot=283086848
Virtual memory (bytes) snapshot=1331949568
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:04:29 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:04:30 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:04:37 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:04:37 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:04:38 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0005
15/04/06 01:04:38 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0005 to ResourceManager at /0.0.0.0:8032
15/04/06 01:04:38 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0005/
15/04/06 01:04:38 INFO mapreduce.Job: Running job: job_1428251627148_0005
15/04/06 01:05:19 INFO mapreduce.Job: Job job_1428251627148_0005 running in uber mode : false
15/04/06 01:05:19 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:05:45 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:06:10 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:06:14 INFO mapreduce.Job: Job job_1428251627148_0005 completed successfully
15/04/06 01:06:14 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=23337
Total time spent by all reduces in occupied slots (ms)=22762
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=261
CPU time spent (ms)=4750
Physical memory (bytes) snapshot=288800768
Virtual memory (bytes) snapshot=1344684032
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:06:16 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:06:16 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:06:28 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:06:30 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:06:32 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0006
15/04/06 01:06:33 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0006 to ResourceManager at /0.0.0.0:8032
15/04/06 01:06:33 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0006/
15/04/06 01:06:33 INFO mapreduce.Job: Running job: job_1428251627148_0006
15/04/06 01:06:47 INFO mapreduce.Job: Job job_1428251627148_0006 running in uber mode : false
15/04/06 01:06:47 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:07:16 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:07:52 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:07:54 INFO mapreduce.Job: Job job_1428251627148_0006 completed successfully
15/04/06 01:07:54 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=26659
Total time spent by all reduces in occupied slots (ms)=30635
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=297
CPU time spent (ms)=4370
Physical memory (bytes) snapshot=279994368
Virtual memory (bytes) snapshot=1331204096
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:07:55 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:07:55 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:07:58 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:07:58 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:07:58 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0007
15/04/06 01:07:59 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0007 to ResourceManager at /0.0.0.0:8032
15/04/06 01:07:59 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0007/
15/04/06 01:07:59 INFO mapreduce.Job: Running job: job_1428251627148_0007
15/04/06 01:08:14 INFO mapreduce.Job: Job job_1428251627148_0007 running in uber mode : false
15/04/06 01:08:14 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:08:38 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:09:09 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:09:11 INFO mapreduce.Job: Job job_1428251627148_0007 completed successfully
15/04/06 01:09:11 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=21669
Total time spent by all reduces in occupied slots (ms)=25369
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=315
CPU time spent (ms)=5040
Physical memory (bytes) snapshot=291827712
Virtual memory (bytes) snapshot=1331343360
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:09:12 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:09:12 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:09:16 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:09:23 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:09:24 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0008
15/04/06 01:09:25 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0008 to ResourceManager at /0.0.0.0:8032
15/04/06 01:09:25 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0008/
15/04/06 01:09:25 INFO mapreduce.Job: Running job: job_1428251627148_0008
15/04/06 01:09:44 INFO mapreduce.Job: Job job_1428251627148_0008 running in uber mode : false
15/04/06 01:09:44 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:10:01 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:10:42 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:10:43 INFO mapreduce.Job: Job job_1428251627148_0008 completed successfully
15/04/06 01:10:43 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=15795
Total time spent by all reduces in occupied slots (ms)=36669
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=262
CPU time spent (ms)=4610
Physical memory (bytes) snapshot=286363648
Virtual memory (bytes) snapshot=1331195904
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:10:44 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:10:44 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:10:49 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:10:49 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:10:50 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0009
15/04/06 01:10:51 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0009 to ResourceManager at /0.0.0.0:8032
15/04/06 01:10:52 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0009/
15/04/06 01:10:52 INFO mapreduce.Job: Running job: job_1428251627148_0009
15/04/06 01:11:07 INFO mapreduce.Job: Job job_1428251627148_0009 running in uber mode : false
15/04/06 01:11:07 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:11:50 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:12:49 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:12:52 INFO mapreduce.Job: Job job_1428251627148_0009 completed successfully
15/04/06 01:12:52 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=40942
Total time spent by all reduces in occupied slots (ms)=55100
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=262
CPU time spent (ms)=4860
Physical memory (bytes) snapshot=286683136
Virtual memory (bytes) snapshot=1331671040
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:12:53 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:12:53 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:12:56 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:12:56 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:12:56 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0010
15/04/06 01:12:57 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0010 to ResourceManager at /0.0.0.0:8032
15/04/06 01:12:57 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0010/
15/04/06 01:12:57 INFO mapreduce.Job: Running job: job_1428251627148_0010
15/04/06 01:13:20 INFO mapreduce.Job: Job job_1428251627148_0010 running in uber mode : false
15/04/06 01:13:20 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:13:48 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:14:20 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:14:25 INFO mapreduce.Job: Job job_1428251627148_0010 completed successfully
15/04/06 01:14:25 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=24765
Total time spent by all reduces in occupied slots (ms)=28965
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=282
CPU time spent (ms)=4600
Physical memory (bytes) snapshot=279269376
Virtual memory (bytes) snapshot=1351159808
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:14:26 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:14:26 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:14:33 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:14:36 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:14:36 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0011
15/04/06 01:14:38 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0011 to ResourceManager at /0.0.0.0:8032
15/04/06 01:14:38 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0011/
15/04/06 01:14:38 INFO mapreduce.Job: Running job: job_1428251627148_0011
15/04/06 01:14:54 INFO mapreduce.Job: Job job_1428251627148_0011 running in uber mode : false
15/04/06 01:14:54 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:15:30 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:16:15 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:16:20 INFO mapreduce.Job: Job job_1428251627148_0011 completed successfully
15/04/06 01:16:20 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187955
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=33713
Total time spent by all reduces in occupied slots (ms)=41314
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=329
CPU time spent (ms)=5150
Physical memory (bytes) snapshot=285835264
Virtual memory (bytes) snapshot=1332178944
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:16:24 INFO kmeans.KMeansDriver: Clustering data
15/04/06 01:16:24 INFO kmeans.KMeansDriver: Running Clustering
15/04/06 01:16:24 INFO kmeans.KMeansDriver: Input: output/data Clusters In: output Out: output
15/04/06 01:16:27 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:16:28 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:16:42 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:16:42 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:16:42 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0012
15/04/06 01:16:42 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0012 to ResourceManager at /0.0.0.0:8032
15/04/06 01:16:42 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0012/
15/04/06 01:16:42 INFO mapreduce.Job: Running job: job_1428251627148_0012
15/04/06 01:16:57 INFO mapreduce.Job: Job job_1428251627148_0012 running in uber mode : false
15/04/06 01:16:57 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:17:11 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:17:18 INFO mapreduce.Job: Job job_1428251627148_0012 completed successfully
15/04/06 01:17:18 INFO mapreduce.Job: Counters: 27
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=79646
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=343368
HDFS: Number of bytes written=363319
HDFS: Number of read operations=13
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=14534
Total time spent by all reduces in occupied slots (ms)=0
Map-Reduce Framework
Map input records=600
Map output records=600
Input split bytes=123
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=106
CPU time spent (ms)=2910
Physical memory (bytes) snapshot=97468416
Virtual memory (bytes) snapshot=664444928
Total committed heap usage (bytes)=15663104
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=363319
15/04/06 01:17:18 INFO kmeans.Job: Dumping out clusters from clusters: output/clusters-*-final and clusteredPoints: output/clusteredPoints
VL-566{n=187 c=[30.379, 29.799, 29.873, 29.157, 29.283, 28.986, 29.039, 28.399, 27.992, 28.420, 28.033, 27.965, 27.644, 27.616, 26.898, 26.740, 26.794, 26.256, 26.666, 26.677, 26.577, 24.458, 24.654, 24.182, 23.507, 22.558, 22.863, 22.461, 22.026, 21.678, 21.126, 20.409, 19.644, 19.123, 18.118, 17.901, 16.897, 16.750, 16.061, 16.219, 16.521, 15.809, 15.772, 15.439, 14.769, 14.685, 14.177, 14.228, 14.664, 14.243, 14.138, 13.939, 13.553, 12.982, 13.048, 12.802, 12.987, 12.553, 12.039, 12.416] r=[3.387, 3.460, 3.290, 3.248, 3.551, 3.452, 3.740, 4.078, 3.975, 4.005, 3.743, 3.869, 3.774, 4.042, 4.019, 4.404, 4.485, 4.632, 4.676, 4.760, 5.388, 5.785, 6.050, 6.215, 5.810, 6.262, 6.083, 5.961, 6.130, 6.432, 6.340, 6.343, 6.224, 6.205, 5.817, 5.601, 5.447, 5.472, 5.128, 4.902, 4.673, 5.248, 4.607, 4.822, 4.868, 5.324, 5.182, 5.013, 5.439, 5.633, 5.527, 6.089, 5.502, 5.555, 5.959, 5.747, 6.005, 6.379, 6.372, 6.809]}
Weight : [props - optional]: Point:
1.0 : [distance=60.14644520797616]: 60 = [34.758, 27.233, 29.696, 25.885, 26.540, 31.134, 25.037, 20.582, 27.216, 21.948, 20.745, 28.963, 19.580, 21.069, 25.237, 18.536, 20.531, 21.009, 21.623, 19.681, 17.870, 20.057, 15.625, 19.459, 19.662, 20.113, 13.512, 17.312, 14.962, 13.642, 20.624, 18.942, 11.751, 15.770, 12.761, 15.350, 11.058, 11.049, 7.154, 12.108, 10.914, 15.312, 4.750, 11.451, 7.409, 1.798, 2.758, 12.270, 2.261, 0.281, 5.607, 2.778, 8.248, -1.948, 4.640, -1.098, 1.734, -0.389, -0.918, -5.115]
1.0 : [distance=37.9807620575445]: 60 = [24.672, 35.261, 30.486, 34.447, 27.469, 33.179, 32.280, 31.612, 33.215, 30.145, 25.664, 26.510, 23.344, 22.746, 23.703, 25.613, 27.950, 30.915, 27.055, 32.099, 28.053, 25.602, 25.857, 23.649, 23.729, 20.707, 26.265, 24.739, 23.297, 28.814, 28.322, 24.125, 27.636, 19.490, 20.211, 23.685, 17.537, 24.913, 23.852, 17.429, 18.166, 26.208, 16.250, 18.389, 19.903, 17.949, 26.284, 16.435, 22.171, 16.566, 14.734, 20.814, 15.615, 25.051, 17.750, 22.335, 12.816, 20.545, 17.145, 16.969]
1.0 : [distance=31.441543243195373]: 60 = [25.592, 29.951, 34.188, 25.658, 26.887, 23.573, 34.070, 32.134, 24.226, 32.835, 28.736, 22.764, 27.075, 31.695, 23.068, 28.177, 30.347, 21.692, 23.520, 25.869, 20.738, 26.484, 25.945, 26.356, 26.610, 27.923, 22.344, 18.341, 25.289, 17.043, 23.898, 21.450, 21.012, 26.453, 19.442, 19.780, 23.152, 16.660, 23.176, 24.844, 21.370, 24.335, 22.465, 17.060, 12.203, 11.832, 15.639, 14.378, 17.319, 18.499, 10.786, 17.209, 15.585, 17.023, 19.042, 18.056, 17.958, 15.153, 9.625, 17.562]
1.0 : [distance=30.36464780774805]: 60 = [27.679, 33.506, 23.594, 29.540, 31.246, 31.789, 29.930, 27.119, 32.866, 28.095, 20.902, 28.264, 25.396, 27.667, 23.323, 23.447, 23.229, 23.878, 25.636, 27.344, 24.276, 23.540, 23.811, 20.864, 16.907, 21.576, 14.618, 14.948, 18.687, 24.682, 22.391, 13.900, 19.441, 13.071, 10.751, 10.976, 20.040, 12.130, 18.086, 10.611, 15.364, 18.676, 19.319, 17.477, 16.599, 13.806, 9.157, 10.810, 9.424, 11.602, 13.943, 12.674, 15.458, 14.686, 9.882, 3.857, 9.139, 6.374, 8.256, 12.682]
1.0 : [distance=38.7559192261754]: 60 = [30.696, 32.667, 34.223, 33.183, 34.835, 33.391, 33.175, 32.804, 24.116, 25.190, 22.739, 25.053, 32.679, 31.196, 32.160, 29.381, 23.589, 31.786, 24.265, 30.298, 21.200, 26.239, 30.859, 29.984, 21.029, 27.869, 18.415, 19.499, 23.458, 24.589, 25.958, 23.921, 26.189, 27.101, 27.984, 21.713, 20.958, 20.110, 16.171, 26.001, 21.950, 22.971, 17.464, 19.791, 14.989, 15.000, 24.850, 20.741, 23.414, 16.101, 15.681, 15.673, 23.288, 17.766, 21.817, 16.371, 12.139, 18.997, 17.320, 12.940]
1.0 : [distance=27.940863973662278]: 60 = [32.702, 35.219, 30.143, 24.275, 28.156, 26.281, 26.887, 29.739, 28.588, 32.115, 28.952, 31.654, 23.860, 24.503, 26.140, 26.283, 25.897, 31.719, 24.259, 31.153, 27.673, 28.435, 27.952, 23.764, 20.125, 24.848, 27.495, 24.808, 20.754, 24.518, 18.523, 22.455, 25.533, 19.716, 17.452, 17.822, 18.375, 18.684, 17.331, 20.561, 21.989, 20.922, 15.342, 21.997, 23.533, 19.106, 20.590, 15.386, 23.640, 15.969, 16.974, 18.554, 18.152, 14.431, 18.404, 12.034, 16.727, 17.414, 10.661, 12.707]
1.0 : [distance=29.941651701067407]: 60 = [34.727, 28.325, 30.331, 33.882, 30.827, 23.072, 25.805, 22.791, 23.541, 30.888, 20.357, 23.334, 28.828, 21.382, 22.601, 22.694, 28.009, 23.429, 21.380, 26.477, 21.692, 25.062, 16.859, 27.092, 23.837, 16.834, 18.273, 24.058, 20.410, 21.115, 23.740, 13.865, 19.335, 15.926, 15.604, 17.470, 11.634, 16.922, 10.808, 14.936, 18.612, 9.550, 19.246, 11.695, 8.859, 19.043, 9.760, 9.716, 16.363, 10.288, 13.498, 11.773, 14.875, 13.521, 7.046, 12.578, 12.199, 11.453, 5.871, 8.749]
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1.0 : [distance=41.34414155507297]: 60 = [25.631, 26.203, 32.823, 25.170, 26.192, 26.843, 25.561, 34.060, 28.744, 32.134, 29.996, 35.056, 33.926, 31.402, 26.221, 33.100, 28.793, 27.739, 33.969, 32.390, 33.196, 26.725, 27.621, 34.132, 35.814, 31.282, 25.349, 29.338, 29.296, 43.454, 50.840, 50.636, 50.549, 43.925, 45.217, 40.296, 42.039, 46.118, 41.087, 43.482, 41.598, 39.473, 50.816, 50.949, 47.547, 51.110, 41.138, 48.306, 42.516, 43.995, 47.625, 41.112, 40.018, 49.492, 43.261, 47.549, 47.739, 44.335, 44.316, 41.028]
1.0 : [distance=41.269512059820705]: 60 = [24.799, 32.178, 31.993, 26.146, 34.944, 28.383, 25.814, 30.654, 35.046, 24.444, 33.038, 33.123, 32.421, 27.025, 26.068, 24.858, 32.804, 25.810, 33.218, 31.073, 33.178, 34.582, 29.041, 26.287, 24.403, 30.687, 33.180, 30.328, 29.585, 27.932, 25.561, 33.362, 29.672, 30.578, 25.744, 30.095, 30.827, 31.266, 45.613, 45.293, 45.943, 46.323, 52.027, 51.084, 45.702, 43.800, 45.199, 42.774, 48.093, 45.989, 52.966, 41.736, 41.311, 45.657, 50.499, 51.470, 41.327, 41.829, 50.315, 47.754]
1.0 : [distance=43.27796401128795]: 60 = [30.586, 24.333, 35.049, 30.125, 32.155, 32.000, 33.337, 24.820, 27.433, 35.338, 33.361, 25.868, 35.517, 29.873, 28.478, 35.182, 26.520, 27.319, 30.888, 24.557, 29.780, 27.257, 25.729, 32.777, 24.562, 27.667, 25.226, 34.763, 33.273, 29.559, 32.230, 34.399, 24.996, 33.072, 29.357, 49.919, 42.771, 45.909, 49.179, 49.815, 45.542, 44.727, 47.995, 41.636, 50.676, 46.752, 51.798, 42.733, 51.912, 47.719, 52.282, 51.071, 45.963, 43.560, 49.302, 50.011, 43.734, 52.398, 46.536, 52.887]
1.0 : [distance=34.98776431083462]: 60 = [26.330, 31.886, 33.952, 35.233, 28.475, 29.002, 33.753, 32.883, 24.549, 24.844, 24.022, 25.875, 29.462, 35.535, 32.539, 33.313, 33.515, 25.520, 29.007, 33.546, 24.162, 30.305, 27.620, 24.963, 33.737, 32.827, 26.269, 35.400, 28.518, 27.017, 33.955, 35.391, 26.069, 46.920, 47.494, 42.041, 40.232, 37.822, 44.988, 40.270, 44.574, 42.026, 46.049, 40.652, 43.381, 37.874, 45.151, 48.653, 47.569, 37.023, 48.595, 47.890, 44.580, 39.666, 41.898, 45.322, 44.796, 47.210, 37.482, 43.994]
1.0 : [distance=40.37885833537749]: 60 = [32.485, 30.332, 26.973, 33.969, 29.571, 25.098, 25.312, 28.270, 26.379, 35.965, 35.209, 32.805, 26.603, 29.363, 26.285, 32.599, 26.477, 24.288, 32.795, 30.213, 33.272, 32.280, 34.367, 25.967, 29.865, 26.847, 25.169, 34.568, 34.656, 35.972, 26.686, 30.223, 27.070, 24.159, 33.970, 31.192, 32.337, 30.669, 35.610, 51.049, 43.188, 41.551, 40.775, 45.486, 50.172, 40.149, 51.122, 42.306, 41.874, 41.684, 46.395, 50.859, 51.072, 48.110, 50.773, 46.868, 47.946, 41.695, 47.943, 41.138]
1.0 : [distance=32.073309023535664]: 60 = [29.873, 27.138, 35.583, 29.028, 24.094, 35.506, 32.424, 35.675, 28.174, 24.927, 30.530, 35.673, 28.062, 29.028, 32.807, 27.797, 35.003, 33.468, 30.114, 33.542, 32.420, 34.518, 42.479, 36.600, 46.156, 35.897, 34.961, 44.304, 39.888, 39.161, 39.007, 40.879, 41.818, 41.141, 37.521, 44.975, 39.757, 37.347, 40.779, 41.352, 38.680, 44.851, 39.974, 43.537, 42.715, 43.494, 40.688, 37.018, 46.563, 45.253, 36.792, 41.013, 44.236, 39.452, 43.965, 39.491, 44.961, 36.791, 41.298, 43.547]
1.0 : [distance=37.8861091800597]: 60 = [25.549, 24.917, 35.542, 25.602, 31.753, 24.090, 32.918, 24.372, 27.713, 32.164, 30.351, 34.818, 25.664, 30.375, 24.300, 24.453, 29.819, 27.121, 28.735, 32.421, 34.526, 34.923, 25.413, 25.399, 24.882, 27.965, 32.612, 35.825, 32.842, 33.987, 35.511, 29.311, 31.091, 26.995, 32.798, 42.024, 47.523, 44.258, 43.844, 41.394, 48.465, 44.113, 48.769, 47.773, 42.508, 45.211, 51.533, 45.769, 52.524, 42.850, 49.001, 42.373, 46.731, 50.473, 47.995, 50.148, 50.811, 47.614, 42.467, 42.890]
1.0 : [distance=42.306279569449394]: 60 = [30.895, 35.653, 26.506, 33.719, 33.154, 24.265, 27.046, 34.660, 28.780, 35.670, 29.125, 30.683, 25.404, 33.088, 34.320, 24.465, 34.877, 35.614, 31.981, 34.400, 32.961, 39.287, 42.182, 42.653, 36.122, 34.114, 41.311, 32.602, 37.072, 43.693, 32.384, 33.264, 37.607, 33.419, 32.351, 43.777, 40.741, 35.089, 33.921, 32.326, 44.299, 41.244, 35.221, 35.154, 34.174, 32.939, 42.229, 36.472, 33.254, 33.016, 42.834, 41.760, 39.438, 34.831, 41.651, 41.014, 41.146, 35.453, 34.125, 33.775]
1.0 : [distance=37.380635854042815]: 60 = [28.812, 28.212, 33.186, 26.178, 25.307, 33.900, 30.906, 35.876, 26.489, 27.542, 35.029, 30.217, 29.472, 30.145, 35.747, 29.393, 31.453, 27.200, 30.998, 25.944, 29.577, 24.773, 28.161, 35.316, 27.197, 26.177, 31.306, 33.343, 30.397, 25.881, 24.889, 24.713, 24.605, 27.023, 40.930, 45.155, 45.395, 44.749, 44.322, 41.082, 45.061, 42.073, 43.007, 37.920, 36.875, 44.080, 42.519, 40.671, 43.304, 45.448, 35.043, 41.834, 41.312, 41.325, 34.394, 44.316, 39.520, 44.047, 39.384, 34.463]
1.0 : [distance=44.338444028887494]: 60 = [31.993, 25.180, 32.595, 27.467, 27.286, 33.346, 31.909, 24.483, 32.681, 35.755, 29.375, 29.128, 30.371, 35.654, 27.380, 27.920, 25.604, 32.657, 35.181, 35.003, 24.700, 36.029, 30.529, 34.282, 29.648, 28.278, 34.321, 27.727, 27.069, 29.819, 26.399, 30.764, 27.612, 24.440, 26.264, 30.188, 25.260, 28.716, 46.565, 50.150, 44.705, 44.825, 51.860, 42.072, 51.274, 48.807, 44.729, 49.979, 41.057, 47.613, 45.631, 49.134, 44.513, 51.046, 40.481, 41.826, 48.342, 40.097, 40.440, 41.932]
1.0 : [distance=33.96458967908223]: 60 = [30.203, 29.846, 25.398, 26.624, 31.018, 24.306, 35.251, 29.425, 33.766, 30.957, 30.147, 26.154, 33.447, 31.310, 27.630, 35.848, 28.704, 24.628, 26.296, 31.439, 32.120, 28.609, 29.320, 33.142, 32.222, 32.433, 30.392, 25.786, 26.396, 25.877, 24.130, 31.381, 44.435, 40.802, 35.890, 35.539, 46.799, 45.424, 46.033, 44.404, 37.621, 35.960, 43.389, 42.054, 36.717, 46.581, 35.677, 41.648, 46.072, 37.187, 47.077, 36.387, 39.272, 40.933, 38.153, 42.699, 38.017, 38.494, 43.904, 42.581]
1.0 : [distance=45.164979745080785]: 60 = [27.340, 24.928, 26.042, 26.348, 28.562, 24.455, 35.488, 29.421, 35.402, 33.995, 30.924, 25.297, 34.403, 24.858, 34.886, 34.720, 29.194, 35.252, 32.114, 27.959, 28.646, 32.864, 34.382, 26.643, 31.655, 28.176, 30.845, 31.616, 28.508, 29.772, 27.335, 32.877, 32.717, 28.541, 53.894, 45.555, 49.687, 53.968, 50.810, 50.642, 51.934, 51.888, 52.027, 47.227, 45.794, 46.163, 48.679, 48.733, 48.579, 46.752, 47.840, 49.431, 49.052, 46.310, 44.287, 44.479, 45.053, 47.207, 49.248, 47.462]
1.0 : [distance=44.607605803857766]: 60 = [35.913, 29.855, 33.250, 30.166, 27.532, 24.791, 29.382, 30.916, 33.337, 32.683, 34.063, 28.091, 32.150, 29.337, 28.080, 35.838, 33.807, 26.973, 24.089, 30.694, 35.094, 33.424, 34.086, 32.633, 30.806, 26.496, 27.500, 33.752, 24.634, 25.088, 32.197, 27.662, 26.727, 31.828, 31.327, 25.647, 30.786, 25.077, 42.600, 53.603, 47.426, 45.479, 47.015, 41.967, 44.346, 51.579, 52.547, 43.022, 45.694, 42.104, 48.868, 42.844, 53.483, 52.084, 42.346, 42.945, 43.442, 51.091, 42.904, 47.054]
1.0 : [distance=37.86076168533217]: 60 = [34.699, 25.609, 32.507, 27.845, 26.704, 30.755, 24.638, 31.215, 33.803, 28.171, 29.947, 29.978, 31.539, 34.862, 28.162, 34.828, 35.926, 32.985, 24.313, 25.767, 31.420, 25.018, 29.113, 38.614, 34.095, 40.555, 36.371, 39.670, 38.791, 40.503, 37.972, 32.247, 39.706, 33.027, 40.304, 44.009, 36.632, 41.156, 33.416, 41.715, 35.802, 43.868, 33.192, 41.048, 34.779, 40.985, 32.555, 43.962, 43.458, 33.779, 37.091, 35.553, 34.779, 35.962, 33.597, 37.837, 37.603, 43.235, 34.783, 43.308]
1.0 : [distance=35.37762845275366]: 60 = [28.487, 34.156, 28.659, 35.527, 35.250, 30.795, 31.318, 28.034, 25.375, 33.610, 29.723, 28.462, 24.683, 35.245, 34.151, 35.341, 27.724, 27.502, 28.539, 32.302, 30.586, 30.747, 28.180, 27.085, 35.723, 26.787, 29.890, 28.044, 27.663, 27.240, 25.005, 24.731, 32.778, 46.403, 47.259, 45.380, 45.677, 40.544, 39.214, 43.374, 42.056, 43.683, 42.560, 38.311, 44.878, 40.559, 46.917, 43.313, 38.759, 47.516, 38.562, 47.779, 36.325, 42.066, 44.773, 48.305, 47.137, 39.604, 37.563, 44.185]
15/04/06 01:17:26 INFO clustering.ClusterDumper: Wrote 6 clusters
hadoop@master1:~/tools/hadoop$
hadoop@master1:~/tools/hadoop$
hadoop@master1:~/tools/hadoop$
hadoop@master1:~/tools/hadoop$
hadoop@master1:~/tools/hadoop$ hadoop fs -lsr output
lsr: DEPRECATED: Please use 'ls -R' instead.
15/04/06 01:20:27 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:16 output/_policy
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:17 output/clusteredPoints
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:17 output/clusteredPoints/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 363319 2015-04-06 01:17 output/clusteredPoints/part-m-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 00:53 output/clusters-0
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 00:53 output/clusters-0/_policy
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00000
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00001
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00002
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00003
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00004
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00005
drwxr-xr-x - hadoop supergroup 0 2015-04-06 00:58 output/clusters-1
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 00:57 output/clusters-1/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 00:58 output/clusters-1/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 00:57 output/clusters-1/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:16 output/clusters-10-final
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:16 output/clusters-10-final/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:16 output/clusters-10-final/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:16 output/clusters-10-final/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:02 output/clusters-2
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:02 output/clusters-2/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:02 output/clusters-2/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:02 output/clusters-2/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:04 output/clusters-3
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:04 output/clusters-3/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:04 output/clusters-3/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:04 output/clusters-3/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:06 output/clusters-4
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:06 output/clusters-4/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:06 output/clusters-4/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:06 output/clusters-4/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:07 output/clusters-5
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:07 output/clusters-5/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:07 output/clusters-5/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:07 output/clusters-5/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:09 output/clusters-6
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:09 output/clusters-6/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:09 output/clusters-6/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:09 output/clusters-6/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:10 output/clusters-7
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:10 output/clusters-7/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:10 output/clusters-7/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:10 output/clusters-7/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:12 output/clusters-8
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:12 output/clusters-8/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:12 output/clusters-8/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:12 output/clusters-8/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:14 output/clusters-9
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:14 output/clusters-9/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:14 output/clusters-9/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:14 output/clusters-9/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 00:53 output/data
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 00:53 output/data/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 335470 2015-04-06 00:53 output/data/part-m-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 00:53 output/random-seeds
-rw-r--r-- 1 hadoop supergroup 7733 2015-04-06 00:53 output/random-seeds/part-randomSeed
hadoop@master1:~/tools/hadoop$
------------------
Mahout是Hadoop的一种高级应用。运行Mahout需要提前安装好Hadoop。Hadoop的安装网上很多，并不复杂，这里不再讲述，接下来阐述怎么安装Mahout。
本人使用的环境是windows7_64位操作系统、wmware 10、ubuntu 64位 14.0 、hadoop2.2.0、mahout 0.9,虚拟机内存1个G
1：下载二进制解压安装。
到http://pan.baidu.com/s/1sjPR809下载，我选择下载二进制包，直接解压及可。
hadoop@master1:~/tools$ tar -zxvf mahout-distribution-0.9.tar.gz
2：配置环境变量：在/etc/profile中添加如下红色信息
#set java environment
export JAVA_HOME=/home/hadoop/tools/jdk
export JRE_HOME=/home/hadoop/tools/jdk/jre
export HADOOP_HOME=/home/hadoop/tools/hadoop
export MAHOUT_HOME=/home/hadoop/tools/mahout-distribution-0.9
export MAVEN_HOME=/home/hadoop/tools/apache-maven-3.2.3
export PATH=/home/hadoop/tools/ecli1/eclipse:$JAVA_HOME/bin:$HADOOP_HOME/bin:$MAVEN_HOME/bin:$MAHOUT_HOME/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
3：启动hadoop，也可以用伪分布式来测试
4：mahout --help #检查Mahout是否安装完好，看是否列出了一些算法
hadoop@master1:~/tools$ mahout --help
Running on hadoop, using /home/hadoop/tools/hadoop/bin/hadoop and HADOOP_CONF_DIR=
MAHOUT-JOB: /home/hadoop/tools/mahout-distribution-0.9/mahout-examples-0.9-job.jar
Unknown program '--help' chosen.
Valid program names are:
arff.vector: : Generate Vectors from an ARFF file or directory
baumwelch: : Baum-Welch algorithm for unsupervised HMM training
canopy: : Canopy clustering
cat: : Print a file or resource as the logistic regression models would see it
cleansvd: : Cleanup and verification of SVD output
clusterdump: : Dump cluster output to text
clusterpp: : Groups Clustering Output In Clusters
cmdump: : Dump confusion matrix in HTML or text formats
concatmatrices: : Concatenates 2 matrices of same cardinality into a single matrix
cvb: : LDA via Collapsed Variation Bayes (0th deriv. approx)
cvb0_local: : LDA via Collapsed Variation Bayes, in memory locally.
evaluateFactorization: : compute RMSE and MAE of a rating matrix factorization against probes
fkmeans: : Fuzzy K-means clustering
hmmpredict: : Generate random sequence of observations by given HMM
itemsimilarity: : Compute the item-item-similarities for item-based collaborative filtering
kmeans: : K-means clustering
lucene.vector: : Generate Vectors from a Lucene index
lucene2seq: : Generate Text SequenceFiles from a Lucene index
matrixdump: : Dump matrix in CSV format
matrixmult: : Take the product of two matrices
parallelALS: : ALS-WR factorization of a rating matrix
qualcluster: : Runs clustering experiments and summarizes results in a CSV
recommendfactorized: : Compute recommendations using the factorization of a rating matrix
recommenditembased: : Compute recommendations using item-based collaborative filtering
regexconverter: : Convert text files on a per line basis based on regular expressions
resplit: : Splits a set of SequenceFiles into a number of equal splits
rowid: : Map SequenceFile<Text,VectorWritable> to {SequenceFile<IntWritable,VectorWritable>, SequenceFile<IntWritable,Text>}
rowsimilarity: : Compute the pairwise similarities of the rows of a matrix
runAdaptiveLogistic: : Score new production data using a probably trained and validated Adapt ivelogisticRegression model
runlogistic: : Run a logistic regression model against CSV data
seq2encoded: : Encoded Sparse Vector generation from Text sequence files
seq2sparse: : Sparse Vector generation from Text sequence files
seqdirectory: : Generate sequence files (of Text) from a directory
seqdumper: : Generic Sequence File dumper
seqmailarchives: : Creates SequenceFile from a directory containing gzipped mail archives
seqwiki: : Wikipedia xml dump to sequence file
spectralkmeans: : Spectral k-means clustering
split: : Split Input data into test and train sets
splitDataset: : split a rating dataset into training and probe parts
ssvd: : Stochastic SVD
streamingkmeans: : Streaming k-means clustering
svd: : Lanczos Singular Value Decomposition
testnb: : Test the Vector-based Bayes classifier
trainAdaptiveLogistic: : Train an AdaptivelogisticRegression model
trainlogistic: : Train a logistic regression using stochastic gradient descent
trainnb: : Train the Vector-based Bayes classifier
transpose: : Take the transpose of a matrix
validateAdaptiveLogistic: : Validate an AdaptivelogisticRegression model against hold-out dat a set
vecdist: : Compute the distances between a set of Vectors (or Cluster or Canopy, they must fi t in memory) and a list of Vectors
vectordump: : Dump vectors from a sequence file to text
viterbi: : Viterbi decoding of hidden states from given output states sequence
5：mahout使用准备
a.下载一个文件synthetic_control.data，下载地址http://pan.baidu.com/s/1sjPR809，并把这个文件放在$MAHOUT_HOME目录下。
b.启动Hadoop：$HADOOP_HOME/bin/start-all.sh
c.创建测试目录testdata，并把数据导入到这个tastdata目录中(这里的目录的名字只能是testdata)
hadoop@master1:~/tools$ hadoop fs -mkdir testdata #
hadoop@master1:~/tools$ hadoop fs -put /home/hadoop/tools/mahout-distribution-0.9/synthetic_control.data testdata
d.使用kmeans算法(这会运行14分钟左右)
hadoop@ubuntu:~/tools$ hadoop jar /home/hadoop/tools/mahout-distribution-0.9/mahout-examples-0.9-job.jar org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
e.查看结果
hadoop@ubuntu:~/tools$ hadoop fs -lsr output
如果看到以下结果那么算法运行成功，你的安装也就成功了。
clusteredPoints
clusters-0
clusters-1
clusters-10
clusters-2
clusters-3
clusters-4
clusters-5
clusters-6
clusters-7
clusters-8
clusters-9
data
以下是成功结果的截图：
图1-1
图1-2
下面是运行的输出结果：
hadoop@master1:~/tools/hadoop$ hadoop jar /home/hadoop/tools/mahout-distribution-0.9/mahout-exa mples-0.9-job.jar org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
15/04/06 00:49:46 INFO kmeans.Job: Running with default arguments
15/04/06 00:49:49 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your pla tform... using builtin-java classes where applicable
15/04/06 00:50:07 INFO common.HadoopUtil: Deleting output
15/04/06 00:50:09 INFO kmeans.Job: Preparing Input
15/04/06 00:50:14 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 00:50:25 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed . Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 00:50:34 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 00:50:35 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 00:50:36 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapredu ce.job.user.name
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapred uce.job.jar
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.reduce.tasks is deprecated. Instead, u se mapreduce.job.reduces
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.output.value.class is deprecated. Inst ead, use mapreduce.job.output.value.class
15/04/06 00:50:36 INFO Configuration.deprecation: mapreduce.map.class is deprecated. Instead, u se mapreduce.job.map.class
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use m apreduce.job.name
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
15/04/06 00:50:36 INFO Configuration.deprecation: mapreduce.outputformat.class is deprecated. I nstead, use mapreduce.job.outputformat.class
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instea d, use mapreduce.job.output.key.class
15/04/06 00:50:36 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, us e mapreduce.job.working.dir
15/04/06 00:50:37 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_000 1
15/04/06 00:50:43 INFO impl.YarnClientImpl: Submitted application application_1428251627148_000 1 to ResourceManager at /0.0.0.0:8032
15/04/06 00:50:43 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/appli cation_1428251627148_0001/
15/04/06 00:50:43 INFO mapreduce.Job: Running job: job_1428251627148_0001
15/04/06 00:52:26 INFO mapreduce.Job: Job job_1428251627148_0001 running in uber mode : false
15/04/06 00:52:26 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 00:53:30 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 00:53:36 INFO mapreduce.Job: Job job_1428251627148_0001 completed successfully
15/04/06 00:53:36 INFO mapreduce.Job: Counters: 27
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=78972
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=289102
HDFS: Number of bytes written=335470
HDFS: Number of read operations=5
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=59252
Total time spent by all reduces in occupied slots (ms)=0
Map-Reduce Framework
Map input records=600
Map output records=600
Input split bytes=130
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=116
CPU time spent (ms)=2180
Physical memory (bytes) snapshot=83238912
Virtual memory (bytes) snapshot=664920064
Total committed heap usage (bytes)=15663104
File Input Format Counters
Bytes Read=288972
File Output Format Counters
Bytes Written=335470
15/04/06 00:53:36 INFO kmeans.Job: Running random seed to get initial clusters
15/04/06 00:53:37 INFO compress.CodecPool: Got brand-new compressor [.deflate]
15/04/06 00:53:43 INFO kmeans.RandomSeedGenerator: Wrote 6 Klusters to output/random-seeds/part -randomSeed
15/04/06 00:53:48 INFO kmeans.Job: Running KMeans with k = 6
15/04/06 00:53:48 INFO kmeans.KMeansDriver: Input: output/data Clusters In: output/random-seeds /part-randomSeed Out: output
15/04/06 00:53:48 INFO kmeans.KMeansDriver: convergence: 0.5 max Iterations: 10
15/04/06 00:53:49 INFO compress.CodecPool: Got brand-new decompressor [.deflate]
15/04/06 00:53:49 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 00:53:49 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed . Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 00:53:51 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 00:53:51 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 00:53:51 INFO Configuration.deprecation: mapred.mapoutput.value.class is deprecated. I nstead, use mapreduce.map.output.value.class
15/04/06 00:53:51 INFO Configuration.deprecation: mapreduce.reduce.class is deprecated. Instead , use mapreduce.job.reduce.class
15/04/06 00:53:51 INFO Configuration.deprecation: mapreduce.inputformat.class is deprecated. In stead, use mapreduce.job.inputformat.class
15/04/06 00:53:51 INFO Configuration.deprecation: mapred.mapoutput.key.class is deprecated. Ins tead, use mapreduce.map.output.key.class
15/04/06 00:53:51 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_000 2
15/04/06 00:53:51 INFO impl.YarnClientImpl: Submitted application application_1428251627148_000 2 to ResourceManager at /0.0.0.0:8032
15/04/06 00:53:51 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/appli cation_1428251627148_0002/
15/04/06 00:53:51 INFO mapreduce.Job: Running job: job_1428251627148_0002
15/04/06 00:54:23 INFO mapreduce.Job: Job job_1428251627148_0002 running in uber mode : false
15/04/06 00:54:23 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 00:55:17 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 00:57:46 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 00:57:56 INFO mapreduce.Job: Job job_1428251627148_0002 completed successfully
15/04/06 00:57:59 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=10650
FILE: Number of bytes written=181471
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=358673
HDFS: Number of bytes written=7581
HDFS: Number of read operations=37
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=52147
Total time spent by all reduces in occupied slots (ms)=146348
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=10620
Map output materialized bytes=10650
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=10650
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=393
CPU time spent (ms)=5800
Physical memory (bytes) snapshot=281878528
Virtual memory (bytes) snapshot=1349042176
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 00:58:04 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 00:58:08 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 00:58:13 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 00:58:15 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 00:58:16 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0003
15/04/06 00:58:18 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0003 to ResourceManager at /0.0.0.0:8032
15/04/06 00:58:19 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0003/
15/04/06 00:58:19 INFO mapreduce.Job: Running job: job_1428251627148_0003
15/04/06 00:59:17 INFO mapreduce.Job: Job job_1428251627148_0003 running in uber mode : false
15/04/06 00:59:17 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:01:16 INFO mapreduce.Job: map 67% reduce 0%
15/04/06 01:01:23 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:02:26 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:02:30 INFO mapreduce.Job: Job job_1428251627148_0003 completed successfully
15/04/06 01:02:30 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=129284
Total time spent by all reduces in occupied slots (ms)=46791
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=392
CPU time spent (ms)=5450
Physical memory (bytes) snapshot=282722304
Virtual memory (bytes) snapshot=1341513728
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:02:32 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:02:32 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:02:40 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:02:41 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:02:41 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0004
15/04/06 01:02:41 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0004 to ResourceManager at /0.0.0.0:8032
15/04/06 01:02:41 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0004/
15/04/06 01:02:41 INFO mapreduce.Job: Running job: job_1428251627148_0004
15/04/06 01:03:10 INFO mapreduce.Job: Job job_1428251627148_0004 running in uber mode : false
15/04/06 01:03:10 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:03:49 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:04:26 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:04:28 INFO mapreduce.Job: Job job_1428251627148_0004 completed successfully
15/04/06 01:04:29 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=33827
Total time spent by all reduces in occupied slots (ms)=31241
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=296
CPU time spent (ms)=4960
Physical memory (bytes) snapshot=283086848
Virtual memory (bytes) snapshot=1331949568
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:04:29 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:04:30 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:04:37 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:04:37 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:04:38 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0005
15/04/06 01:04:38 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0005 to ResourceManager at /0.0.0.0:8032
15/04/06 01:04:38 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0005/
15/04/06 01:04:38 INFO mapreduce.Job: Running job: job_1428251627148_0005
15/04/06 01:05:19 INFO mapreduce.Job: Job job_1428251627148_0005 running in uber mode : false
15/04/06 01:05:19 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:05:45 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:06:10 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:06:14 INFO mapreduce.Job: Job job_1428251627148_0005 completed successfully
15/04/06 01:06:14 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=23337
Total time spent by all reduces in occupied slots (ms)=22762
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=261
CPU time spent (ms)=4750
Physical memory (bytes) snapshot=288800768
Virtual memory (bytes) snapshot=1344684032
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:06:16 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:06:16 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:06:28 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:06:30 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:06:32 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0006
15/04/06 01:06:33 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0006 to ResourceManager at /0.0.0.0:8032
15/04/06 01:06:33 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0006/
15/04/06 01:06:33 INFO mapreduce.Job: Running job: job_1428251627148_0006
15/04/06 01:06:47 INFO mapreduce.Job: Job job_1428251627148_0006 running in uber mode : false
15/04/06 01:06:47 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:07:16 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:07:52 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:07:54 INFO mapreduce.Job: Job job_1428251627148_0006 completed successfully
15/04/06 01:07:54 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=26659
Total time spent by all reduces in occupied slots (ms)=30635
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=297
CPU time spent (ms)=4370
Physical memory (bytes) snapshot=279994368
Virtual memory (bytes) snapshot=1331204096
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:07:55 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:07:55 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:07:58 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:07:58 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:07:58 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0007
15/04/06 01:07:59 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0007 to ResourceManager at /0.0.0.0:8032
15/04/06 01:07:59 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0007/
15/04/06 01:07:59 INFO mapreduce.Job: Running job: job_1428251627148_0007
15/04/06 01:08:14 INFO mapreduce.Job: Job job_1428251627148_0007 running in uber mode : false
15/04/06 01:08:14 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:08:38 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:09:09 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:09:11 INFO mapreduce.Job: Job job_1428251627148_0007 completed successfully
15/04/06 01:09:11 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=21669
Total time spent by all reduces in occupied slots (ms)=25369
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=315
CPU time spent (ms)=5040
Physical memory (bytes) snapshot=291827712
Virtual memory (bytes) snapshot=1331343360
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:09:12 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:09:12 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:09:16 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:09:23 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:09:24 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0008
15/04/06 01:09:25 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0008 to ResourceManager at /0.0.0.0:8032
15/04/06 01:09:25 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0008/
15/04/06 01:09:25 INFO mapreduce.Job: Running job: job_1428251627148_0008
15/04/06 01:09:44 INFO mapreduce.Job: Job job_1428251627148_0008 running in uber mode : false
15/04/06 01:09:44 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:10:01 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:10:42 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:10:43 INFO mapreduce.Job: Job job_1428251627148_0008 completed successfully
15/04/06 01:10:43 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=15795
Total time spent by all reduces in occupied slots (ms)=36669
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=262
CPU time spent (ms)=4610
Physical memory (bytes) snapshot=286363648
Virtual memory (bytes) snapshot=1331195904
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:10:44 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:10:44 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:10:49 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:10:49 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:10:50 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0009
15/04/06 01:10:51 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0009 to ResourceManager at /0.0.0.0:8032
15/04/06 01:10:52 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0009/
15/04/06 01:10:52 INFO mapreduce.Job: Running job: job_1428251627148_0009
15/04/06 01:11:07 INFO mapreduce.Job: Job job_1428251627148_0009 running in uber mode : false
15/04/06 01:11:07 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:11:50 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:12:49 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:12:52 INFO mapreduce.Job: Job job_1428251627148_0009 completed successfully
15/04/06 01:12:52 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=40942
Total time spent by all reduces in occupied slots (ms)=55100
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=262
CPU time spent (ms)=4860
Physical memory (bytes) snapshot=286683136
Virtual memory (bytes) snapshot=1331671040
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:12:53 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:12:53 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:12:56 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:12:56 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:12:56 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0010
15/04/06 01:12:57 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0010 to ResourceManager at /0.0.0.0:8032
15/04/06 01:12:57 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0010/
15/04/06 01:12:57 INFO mapreduce.Job: Running job: job_1428251627148_0010
15/04/06 01:13:20 INFO mapreduce.Job: Job job_1428251627148_0010 running in uber mode : false
15/04/06 01:13:20 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:13:48 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:14:20 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:14:25 INFO mapreduce.Job: Job job_1428251627148_0010 completed successfully
15/04/06 01:14:25 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187951
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=24765
Total time spent by all reduces in occupied slots (ms)=28965
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=282
CPU time spent (ms)=4600
Physical memory (bytes) snapshot=279269376
Virtual memory (bytes) snapshot=1351159808
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:14:26 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:14:26 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:14:33 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:14:36 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:14:36 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0011
15/04/06 01:14:38 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0011 to ResourceManager at /0.0.0.0:8032
15/04/06 01:14:38 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0011/
15/04/06 01:14:38 INFO mapreduce.Job: Running job: job_1428251627148_0011
15/04/06 01:14:54 INFO mapreduce.Job: Job job_1428251627148_0011 running in uber mode : false
15/04/06 01:14:54 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:15:30 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:16:15 INFO mapreduce.Job: map 100% reduce 100%
15/04/06 01:16:20 INFO mapreduce.Job: Job job_1428251627148_0011 completed successfully
15/04/06 01:16:20 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=13890
FILE: Number of bytes written=187955
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=351143
HDFS: Number of bytes written=7581
HDFS: Number of read operations=17
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=33713
Total time spent by all reduces in occupied slots (ms)=41314
Map-Reduce Framework
Map input records=600
Map output records=6
Map output bytes=13860
Map output materialized bytes=13890
Input split bytes=123
Combine input records=0
Combine output records=0
Reduce input groups=6
Reduce shuffle bytes=13890
Reduce input records=6
Reduce output records=6
Spilled Records=12
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=329
CPU time spent (ms)=5150
Physical memory (bytes) snapshot=285835264
Virtual memory (bytes) snapshot=1332178944
Total committed heap usage (bytes)=136253440
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=7581
15/04/06 01:16:24 INFO kmeans.KMeansDriver: Clustering data
15/04/06 01:16:24 INFO kmeans.KMeansDriver: Running Clustering
15/04/06 01:16:24 INFO kmeans.KMeansDriver: Input: output/data Clusters In: output Out: output
15/04/06 01:16:27 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/04/06 01:16:28 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/04/06 01:16:42 INFO input.FileInputFormat: Total input paths to process : 1
15/04/06 01:16:42 INFO mapreduce.JobSubmitter: number of splits:1
15/04/06 01:16:42 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428251627148_0012
15/04/06 01:16:42 INFO impl.YarnClientImpl: Submitted application application_1428251627148_0012 to ResourceManager at /0.0.0.0:8032
15/04/06 01:16:42 INFO mapreduce.Job: The url to track the job: http://master1:8088/proxy/application_1428251627148_0012/
15/04/06 01:16:42 INFO mapreduce.Job: Running job: job_1428251627148_0012
15/04/06 01:16:57 INFO mapreduce.Job: Job job_1428251627148_0012 running in uber mode : false
15/04/06 01:16:57 INFO mapreduce.Job: map 0% reduce 0%
15/04/06 01:17:11 INFO mapreduce.Job: map 100% reduce 0%
15/04/06 01:17:18 INFO mapreduce.Job: Job job_1428251627148_0012 completed successfully
15/04/06 01:17:18 INFO mapreduce.Job: Counters: 27
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=79646
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=343368
HDFS: Number of bytes written=363319
HDFS: Number of read operations=13
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=14534
Total time spent by all reduces in occupied slots (ms)=0
Map-Reduce Framework
Map input records=600
Map output records=600
Input split bytes=123
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=106
CPU time spent (ms)=2910
Physical memory (bytes) snapshot=97468416
Virtual memory (bytes) snapshot=664444928
Total committed heap usage (bytes)=15663104
File Input Format Counters
Bytes Read=335470
File Output Format Counters
Bytes Written=363319
15/04/06 01:17:18 INFO kmeans.Job: Dumping out clusters from clusters: output/clusters-*-final and clusteredPoints: output/clusteredPoints
VL-566{n=187 c=[30.379, 29.799, 29.873, 29.157, 29.283, 28.986, 29.039, 28.399, 27.992, 28.420, 28.033, 27.965, 27.644, 27.616, 26.898, 26.740, 26.794, 26.256, 26.666, 26.677, 26.577, 24.458, 24.654, 24.182, 23.507, 22.558, 22.863, 22.461, 22.026, 21.678, 21.126, 20.409, 19.644, 19.123, 18.118, 17.901, 16.897, 16.750, 16.061, 16.219, 16.521, 15.809, 15.772, 15.439, 14.769, 14.685, 14.177, 14.228, 14.664, 14.243, 14.138, 13.939, 13.553, 12.982, 13.048, 12.802, 12.987, 12.553, 12.039, 12.416] r=[3.387, 3.460, 3.290, 3.248, 3.551, 3.452, 3.740, 4.078, 3.975, 4.005, 3.743, 3.869, 3.774, 4.042, 4.019, 4.404, 4.485, 4.632, 4.676, 4.760, 5.388, 5.785, 6.050, 6.215, 5.810, 6.262, 6.083, 5.961, 6.130, 6.432, 6.340, 6.343, 6.224, 6.205, 5.817, 5.601, 5.447, 5.472, 5.128, 4.902, 4.673, 5.248, 4.607, 4.822, 4.868, 5.324, 5.182, 5.013, 5.439, 5.633, 5.527, 6.089, 5.502, 5.555, 5.959, 5.747, 6.005, 6.379, 6.372, 6.809]}
Weight : [props - optional]: Point:
1.0 : [distance=60.14644520797616]: 60 = [34.758, 27.233, 29.696, 25.885, 26.540, 31.134, 25.037, 20.582, 27.216, 21.948, 20.745, 28.963, 19.580, 21.069, 25.237, 18.536, 20.531, 21.009, 21.623, 19.681, 17.870, 20.057, 15.625, 19.459, 19.662, 20.113, 13.512, 17.312, 14.962, 13.642, 20.624, 18.942, 11.751, 15.770, 12.761, 15.350, 11.058, 11.049, 7.154, 12.108, 10.914, 15.312, 4.750, 11.451, 7.409, 1.798, 2.758, 12.270, 2.261, 0.281, 5.607, 2.778, 8.248, -1.948, 4.640, -1.098, 1.734, -0.389, -0.918, -5.115]
1.0 : [distance=37.9807620575445]: 60 = [24.672, 35.261, 30.486, 34.447, 27.469, 33.179, 32.280, 31.612, 33.215, 30.145, 25.664, 26.510, 23.344, 22.746, 23.703, 25.613, 27.950, 30.915, 27.055, 32.099, 28.053, 25.602, 25.857, 23.649, 23.729, 20.707, 26.265, 24.739, 23.297, 28.814, 28.322, 24.125, 27.636, 19.490, 20.211, 23.685, 17.537, 24.913, 23.852, 17.429, 18.166, 26.208, 16.250, 18.389, 19.903, 17.949, 26.284, 16.435, 22.171, 16.566, 14.734, 20.814, 15.615, 25.051, 17.750, 22.335, 12.816, 20.545, 17.145, 16.969]
1.0 : [distance=31.441543243195373]: 60 = [25.592, 29.951, 34.188, 25.658, 26.887, 23.573, 34.070, 32.134, 24.226, 32.835, 28.736, 22.764, 27.075, 31.695, 23.068, 28.177, 30.347, 21.692, 23.520, 25.869, 20.738, 26.484, 25.945, 26.356, 26.610, 27.923, 22.344, 18.341, 25.289, 17.043, 23.898, 21.450, 21.012, 26.453, 19.442, 19.780, 23.152, 16.660, 23.176, 24.844, 21.370, 24.335, 22.465, 17.060, 12.203, 11.832, 15.639, 14.378, 17.319, 18.499, 10.786, 17.209, 15.585, 17.023, 19.042, 18.056, 17.958, 15.153, 9.625, 17.562]
1.0 : [distance=30.36464780774805]: 60 = [27.679, 33.506, 23.594, 29.540, 31.246, 31.789, 29.930, 27.119, 32.866, 28.095, 20.902, 28.264, 25.396, 27.667, 23.323, 23.447, 23.229, 23.878, 25.636, 27.344, 24.276, 23.540, 23.811, 20.864, 16.907, 21.576, 14.618, 14.948, 18.687, 24.682, 22.391, 13.900, 19.441, 13.071, 10.751, 10.976, 20.040, 12.130, 18.086, 10.611, 15.364, 18.676, 19.319, 17.477, 16.599, 13.806, 9.157, 10.810, 9.424, 11.602, 13.943, 12.674, 15.458, 14.686, 9.882, 3.857, 9.139, 6.374, 8.256, 12.682]
1.0 : [distance=38.7559192261754]: 60 = [30.696, 32.667, 34.223, 33.183, 34.835, 33.391, 33.175, 32.804, 24.116, 25.190, 22.739, 25.053, 32.679, 31.196, 32.160, 29.381, 23.589, 31.786, 24.265, 30.298, 21.200, 26.239, 30.859, 29.984, 21.029, 27.869, 18.415, 19.499, 23.458, 24.589, 25.958, 23.921, 26.189, 27.101, 27.984, 21.713, 20.958, 20.110, 16.171, 26.001, 21.950, 22.971, 17.464, 19.791, 14.989, 15.000, 24.850, 20.741, 23.414, 16.101, 15.681, 15.673, 23.288, 17.766, 21.817, 16.371, 12.139, 18.997, 17.320, 12.940]
1.0 : [distance=27.940863973662278]: 60 = [32.702, 35.219, 30.143, 24.275, 28.156, 26.281, 26.887, 29.739, 28.588, 32.115, 28.952, 31.654, 23.860, 24.503, 26.140, 26.283, 25.897, 31.719, 24.259, 31.153, 27.673, 28.435, 27.952, 23.764, 20.125, 24.848, 27.495, 24.808, 20.754, 24.518, 18.523, 22.455, 25.533, 19.716, 17.452, 17.822, 18.375, 18.684, 17.331, 20.561, 21.989, 20.922, 15.342, 21.997, 23.533, 19.106, 20.590, 15.386, 23.640, 15.969, 16.974, 18.554, 18.152, 14.431, 18.404, 12.034, 16.727, 17.414, 10.661, 12.707]
1.0 : [distance=29.941651701067407]: 60 = [34.727, 28.325, 30.331, 33.882, 30.827, 23.072, 25.805, 22.791, 23.541, 30.888, 20.357, 23.334, 28.828, 21.382, 22.601, 22.694, 28.009, 23.429, 21.380, 26.477, 21.692, 25.062, 16.859, 27.092, 23.837, 16.834, 18.273, 24.058, 20.410, 21.115, 23.740, 13.865, 19.335, 15.926, 15.604, 17.470, 11.634, 16.922, 10.808, 14.936, 18.612, 9.550, 19.246, 11.695, 8.859, 19.043, 9.760, 9.716, 16.363, 10.288, 13.498, 11.773, 14.875, 13.521, 7.046, 12.578, 12.199, 11.453, 5.871, 8.749]
1.0 : [distance=27.321857805433883]: 60 = [30.343, 33.085, 28.130, 31.294, 28.719, 30.306, 26.441, 29.986, 25.757, 26.601, 27.699, 27.233, 29.376, 31.373, 30.535, 24.821, 23.137, 24.924, 30.362, 29.024, 28.737, 19.135, 19.318, 22.184, 24.326, 21.256, 24.222, 24.839, 24.351, 18.481, 21.962, 20.152, 18.972, 22.825, 22.988, 23.799, 18.610, 17.205, 17.968, 22.920, 21.987, 22.731, 18.080, 19.168, 20.863, 19.833, 16.373, 19.790, 16.253, 15.409, 16.462, 19.237, 14.938, 12.695, 16.116, 19.813, 17.155, 19.612, 19.827, 13.522]
1.0 : [distance=29.66086533678685]: 60 = [35.808, 31.081, 24.708, 33.250, 27.580, 32.197, 33.551, 25.853, 30.312, 29.219, 30.360, 25.589, 31.237, 30.415, 26.281, 29.581, 25.528, 24.473, 30.356, 19.168, 25.713, 25.939, 29.067, 22.784, 24.974, 18.374, 19.958, 16.594, 25.982, 25.780, 21.492, 16.749, 24.357, 19.331, 23.435, 25.199, 22.319, 22.317, 16.496, 14.443, 21.780, 24.062, 17.402, 22.303, 12.297, 17.604, 11.538, 12.630, 11.392, 12.564, 18.107, 18.251, 16.264, 13.074, 19.478, 17.523, 8.629, 16.786, 7.773, 12.647]
1.0 : [distance=39.57054023952372]: 60 = [29.867, 27.662, 30.615, 27.443, 26.834, 29.238, 28.500, 25.822, 32.061, 23.053, 23.046, 28.729, 19.495, 24.597, 29.458, 28.130, 26.827, 18.405, 23.911, 23.385, 25.663, 18.145, 17.487, 23.530, 24.485, 17.958, 23.168, 21.471, 15.201, 15.921, 23.030, 15.682, 17.863, 19.779, 12.747, 16.593, 14.861, 11.230, 13.949, 17.009, 17.119, 7.537, 11.233, 8.134, 5.484, 16.281, 5.180, 8.507, 13.885, 9.961, 5.813, 6.940, 13.238, 5.075, 1.437, 3.341, 7.066, 11.391, 4.029, 0.398]
1.0 : [distance=53.20687516547485]: 60 = [33.982, 27.292, 23.285, 31.680, 27.752, 28.281, 22.657, 32.096, 23.950, 29.764, 26.166, 24.675, 25.807, 20.080, 20.555, 19.438, 26.317, 17.243, 26.964, 22.209, 22.891, 14.457, 19.237, 16.465, 19.157, 12.311, 15.326, 15.531, 20.297, 10.217, 14.253, 12.514, 10.259, 16.094, 10.670, 10.358, 13.517, 7.013, 12.146, 7.555, 13.103, 8.122, 14.478, 13.573, 8.088, 5.955, 4.553, 5.662, 6.304, 7.855, 6.207, 9.389, 6.852, -0.305, 9.996, -2.050, 8.857, 5.353, 6.883, -2.805]
1.0 : [distance=45.770154829980484]: 60 = [29.342, 32.128, 24.462, 23.814, 31.151, 23.235, 24.278, 32.621, 24.863, 23.868, 31.156, 23.508, 20.793, 20.928, 24.837, 25.320, 22.193, 18.089, 20.210, 17.955, 21.685, 17.908, 26.203, 15.083, 19.347, 23.237, 18.984, 19.694, 13.175, 13.186, 15.594, 15.294, 14.955, 11.323, 15.228, 17.206, 18.213, 8.849, 14.628, 9.848, 7.364, 16.869, 9.205, 11.058, 6.937, 10.479, 5.848, 5.093, 7.285, 2.710, 7.165, 9.442, 6.340, 11.035, 5.163, 5.057, 3.810, 10.084, 4.274, 7.158]
1.0 : [distance=39.47064042390667]: 60 = [32.988, 30.099, 32.923, 30.828, 30.080, 31.882, 22.925, 29.649, 20.623, 20.459, 26.640, 29.324, 25.901, 24.628, 22.665, 25.443, 18.324, 26.998, 20.707, 26.018, 24.886, 16.114, 21.037, 18.210, 17.903, 14.912, 20.871, 22.885, 23.599, 21.208, 19.926, 19.274, 18.713, 18.530, 19.519, 9.353, 9.621, 17.050, 15.577, 16.249, 8.516, 18.211, 16.020, 9.539, 12.363, 7.204, 10.687, 8.992, 12.036, 11.270, 8.509, 10.665, 4.967, 3.102, 9.931, 10.972, 2.643, 0.184, 5.209, 1.268]
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1.0 : [distance=37.380635854042815]: 60 = [28.812, 28.212, 33.186, 26.178, 25.307, 33.900, 30.906, 35.876, 26.489, 27.542, 35.029, 30.217, 29.472, 30.145, 35.747, 29.393, 31.453, 27.200, 30.998, 25.944, 29.577, 24.773, 28.161, 35.316, 27.197, 26.177, 31.306, 33.343, 30.397, 25.881, 24.889, 24.713, 24.605, 27.023, 40.930, 45.155, 45.395, 44.749, 44.322, 41.082, 45.061, 42.073, 43.007, 37.920, 36.875, 44.080, 42.519, 40.671, 43.304, 45.448, 35.043, 41.834, 41.312, 41.325, 34.394, 44.316, 39.520, 44.047, 39.384, 34.463]
1.0 : [distance=44.338444028887494]: 60 = [31.993, 25.180, 32.595, 27.467, 27.286, 33.346, 31.909, 24.483, 32.681, 35.755, 29.375, 29.128, 30.371, 35.654, 27.380, 27.920, 25.604, 32.657, 35.181, 35.003, 24.700, 36.029, 30.529, 34.282, 29.648, 28.278, 34.321, 27.727, 27.069, 29.819, 26.399, 30.764, 27.612, 24.440, 26.264, 30.188, 25.260, 28.716, 46.565, 50.150, 44.705, 44.825, 51.860, 42.072, 51.274, 48.807, 44.729, 49.979, 41.057, 47.613, 45.631, 49.134, 44.513, 51.046, 40.481, 41.826, 48.342, 40.097, 40.440, 41.932]
1.0 : [distance=33.96458967908223]: 60 = [30.203, 29.846, 25.398, 26.624, 31.018, 24.306, 35.251, 29.425, 33.766, 30.957, 30.147, 26.154, 33.447, 31.310, 27.630, 35.848, 28.704, 24.628, 26.296, 31.439, 32.120, 28.609, 29.320, 33.142, 32.222, 32.433, 30.392, 25.786, 26.396, 25.877, 24.130, 31.381, 44.435, 40.802, 35.890, 35.539, 46.799, 45.424, 46.033, 44.404, 37.621, 35.960, 43.389, 42.054, 36.717, 46.581, 35.677, 41.648, 46.072, 37.187, 47.077, 36.387, 39.272, 40.933, 38.153, 42.699, 38.017, 38.494, 43.904, 42.581]
1.0 : [distance=45.164979745080785]: 60 = [27.340, 24.928, 26.042, 26.348, 28.562, 24.455, 35.488, 29.421, 35.402, 33.995, 30.924, 25.297, 34.403, 24.858, 34.886, 34.720, 29.194, 35.252, 32.114, 27.959, 28.646, 32.864, 34.382, 26.643, 31.655, 28.176, 30.845, 31.616, 28.508, 29.772, 27.335, 32.877, 32.717, 28.541, 53.894, 45.555, 49.687, 53.968, 50.810, 50.642, 51.934, 51.888, 52.027, 47.227, 45.794, 46.163, 48.679, 48.733, 48.579, 46.752, 47.840, 49.431, 49.052, 46.310, 44.287, 44.479, 45.053, 47.207, 49.248, 47.462]
1.0 : [distance=44.607605803857766]: 60 = [35.913, 29.855, 33.250, 30.166, 27.532, 24.791, 29.382, 30.916, 33.337, 32.683, 34.063, 28.091, 32.150, 29.337, 28.080, 35.838, 33.807, 26.973, 24.089, 30.694, 35.094, 33.424, 34.086, 32.633, 30.806, 26.496, 27.500, 33.752, 24.634, 25.088, 32.197, 27.662, 26.727, 31.828, 31.327, 25.647, 30.786, 25.077, 42.600, 53.603, 47.426, 45.479, 47.015, 41.967, 44.346, 51.579, 52.547, 43.022, 45.694, 42.104, 48.868, 42.844, 53.483, 52.084, 42.346, 42.945, 43.442, 51.091, 42.904, 47.054]
1.0 : [distance=37.86076168533217]: 60 = [34.699, 25.609, 32.507, 27.845, 26.704, 30.755, 24.638, 31.215, 33.803, 28.171, 29.947, 29.978, 31.539, 34.862, 28.162, 34.828, 35.926, 32.985, 24.313, 25.767, 31.420, 25.018, 29.113, 38.614, 34.095, 40.555, 36.371, 39.670, 38.791, 40.503, 37.972, 32.247, 39.706, 33.027, 40.304, 44.009, 36.632, 41.156, 33.416, 41.715, 35.802, 43.868, 33.192, 41.048, 34.779, 40.985, 32.555, 43.962, 43.458, 33.779, 37.091, 35.553, 34.779, 35.962, 33.597, 37.837, 37.603, 43.235, 34.783, 43.308]
1.0 : [distance=35.37762845275366]: 60 = [28.487, 34.156, 28.659, 35.527, 35.250, 30.795, 31.318, 28.034, 25.375, 33.610, 29.723, 28.462, 24.683, 35.245, 34.151, 35.341, 27.724, 27.502, 28.539, 32.302, 30.586, 30.747, 28.180, 27.085, 35.723, 26.787, 29.890, 28.044, 27.663, 27.240, 25.005, 24.731, 32.778, 46.403, 47.259, 45.380, 45.677, 40.544, 39.214, 43.374, 42.056, 43.683, 42.560, 38.311, 44.878, 40.559, 46.917, 43.313, 38.759, 47.516, 38.562, 47.779, 36.325, 42.066, 44.773, 48.305, 47.137, 39.604, 37.563, 44.185]
15/04/06 01:17:26 INFO clustering.ClusterDumper: Wrote 6 clusters
hadoop@master1:~/tools/hadoop$
hadoop@master1:~/tools/hadoop$
hadoop@master1:~/tools/hadoop$
hadoop@master1:~/tools/hadoop$
hadoop@master1:~/tools/hadoop$ hadoop fs -lsr output
lsr: DEPRECATED: Please use 'ls -R' instead.
15/04/06 01:20:27 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:16 output/_policy
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:17 output/clusteredPoints
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:17 output/clusteredPoints/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 363319 2015-04-06 01:17 output/clusteredPoints/part-m-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 00:53 output/clusters-0
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 00:53 output/clusters-0/_policy
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00000
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00001
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00002
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00003
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00004
-rw-r--r-- 1 hadoop supergroup 1891 2015-04-06 00:53 output/clusters-0/part-00005
drwxr-xr-x - hadoop supergroup 0 2015-04-06 00:58 output/clusters-1
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 00:57 output/clusters-1/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 00:58 output/clusters-1/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 00:57 output/clusters-1/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:16 output/clusters-10-final
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:16 output/clusters-10-final/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:16 output/clusters-10-final/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:16 output/clusters-10-final/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:02 output/clusters-2
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:02 output/clusters-2/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:02 output/clusters-2/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:02 output/clusters-2/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:04 output/clusters-3
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:04 output/clusters-3/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:04 output/clusters-3/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:04 output/clusters-3/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:06 output/clusters-4
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:06 output/clusters-4/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:06 output/clusters-4/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:06 output/clusters-4/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:07 output/clusters-5
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:07 output/clusters-5/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:07 output/clusters-5/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:07 output/clusters-5/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:09 output/clusters-6
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:09 output/clusters-6/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:09 output/clusters-6/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:09 output/clusters-6/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:10 output/clusters-7
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:10 output/clusters-7/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:10 output/clusters-7/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:10 output/clusters-7/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:12 output/clusters-8
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:12 output/clusters-8/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:12 output/clusters-8/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:12 output/clusters-8/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 01:14 output/clusters-9
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 01:14 output/clusters-9/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 194 2015-04-06 01:14 output/clusters-9/_policy
-rw-r--r-- 1 hadoop supergroup 7581 2015-04-06 01:14 output/clusters-9/part-r-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 00:53 output/data
-rw-r--r-- 1 hadoop supergroup 0 2015-04-06 00:53 output/data/_SUCCESS
-rw-r--r-- 1 hadoop supergroup 335470 2015-04-06 00:53 output/data/part-m-00000
drwxr-xr-x - hadoop supergroup 0 2015-04-06 00:53 output/random-seeds
-rw-r--r-- 1 hadoop supergroup 7733 2015-04-06 00:53 output/random-seeds/part-randomSeed
hadoop@master1:~/tools/hadoop$