mahout部署实践

时间：2014-11-08 23:39:36 阅读：311 评论：0 收藏：0 [点我收藏+]

一下载mahout并解压

unzip unzip mahout-distribution-0.9-src.zip

二设置环境变量

1一些说明

JAVA_HOME mahout运行需指定jdk的目录
MAHOUT_JAVA_HOME指定此变量可覆盖JAVA_HOME值
HADOOP_HOME 如果配置，则在hadoop分布式平台上运行，否则单机运行
HADOOP_CONF_DIR指定hadoop的配置文件目录
MAHOUT_LOCAL 如果此变量值丌为空，则单机运行mahout。
MAHOUT_CONF_DIR mahout配置文件的路径，默认值是$MAHOUT_HOME/src/conf
MAHOUT_HEAPSIZE mahout运行时可用的最大heap大小

2具体操作

hadoop@namenode:~/mahout-distribution-0.9$ sudo vim /etc/profile

环境变量的修改，在该文件最后面添加

export JAVA_HOME=/usr/programs/jdk1.7.0_65
export HADOOP_HOME=/home/hadoop/hadoop-1.2.1
export HADOOP_CONF_DIR=/home/hadoop/hadoop-1.2.1/conf
export MAHOUT_HOME=/home/hadoop/mahout-distribution-0.9
export MAHOUT_CONF_DIR=/home/hadoop/mahout-distribution-0.9/conf
PATH=$MAHOUT_CONF_DIR:$MAHOUT_HOME/bin:$JAVA_HOME/bin:$HADOOP_HOME/bin:$PATH

然后source /etc/profile

3一个问题

如果你遇到了如下问题

Could not find mahout-examples-*.job in /home/hadoop/mahout-distribution-0.9 or /home/hadoop/mahout-distribution-0.9/examples/target, please run ‘mvn install‘ to create the .job file

原因是下载的版本不对，你是不是下的有源代码的版本呀，下没有源代码的版本试试

三验证是否安装成功

hadoop@namenode:~$ mahout
MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.
Warning: $HADOOP_HOME is deprecated.

Running on hadoop, using /home/hadoop/hadoop-1.2.1/bin/hadoop and HADOOP_CONF_DIR=/home/hadoop/hadoop-1.2.1/conf
MAHOUT-JOB: /home/hadoop/mahout-distribution-0.9/mahout-examples-0.9-job.jar
Warning: $HADOOP_HOME is deprecated.

An example program must be given as the first argument.
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 AdaptivelogisticRegression 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 data set
vecdist: : Compute the distances between a set of Vectors (or Cluster or Canopy, they must fit 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

以上则表示安转成功

四测试kmeans算法

1.下载测试数据

wget http://archive.ics.uci.edu/ml/databases/synthetic_control/synthetic_control.data

hadoop@namenode:~$ wget http://archive.ics.uci.edu/ml/databases/synthetic_control/synthetic_control.data
--2014-11-08 06:40:16-- http://archive.ics.uci.edu/ml/databases/synthetic_control/synthetic_control.data
Resolving archive.ics.uci.edu (archive.ics.uci.edu)... 128.195.1.87
Connecting to archive.ics.uci.edu (archive.ics.uci.edu)|128.195.1.87|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 288374 (282K) [text/plain]
Saving to: `synthetic_control.data‘

100%[=======================================================================>] 288,374 79.5K/s in 3.5s

2014-11-08 06:40:20 (79.5 KB/s) - `synthetic_control.data‘ saved [288374/288374]

2.把测试数据放到hdfs中

hadoop@namenode:~$ hadoop fs -mkdir ./testdata
Warning: $HADOOP_HOME is deprecated.

hadoop@namenode:~$ hadoop fs -ls
Warning: $HADOOP_HOME is deprecated.

Found 4 items
drwxr-xr-x   - hadoop        supergroup          0 2014-11-06 07:48 /user/hadoop/input
drwxr-xr-x   - hadoop        supergroup          0 2014-11-06 07:49 /user/hadoop/output
drwxr-xr-x   - Administrator supergroup          0 2014-11-06 08:01 /user/hadoop/output1
drwxr-xr-x   - hadoop        supergroup          0 2014-11-08 06:41 /user/hadoop/testdata
hadoop@namenode:~$ hadoop fs -put synthetic_control.data  ./testdata
Warning: $HADOOP_HOME is deprecated.

hadoop@namenode:~$ hadoop fs -ls
Warning: $HADOOP_HOME is deprecated.

Found 4 items
drwxr-xr-x   - hadoop        supergroup          0 2014-11-06 07:48 /user/hadoop/input
drwxr-xr-x   - hadoop        supergroup          0 2014-11-06 07:49 /user/hadoop/output
drwxr-xr-x   - Administrator supergroup          0 2014-11-06 08:01 /user/hadoop/output1
drwxr-xr-x   - hadoop        supergroup          0 2014-11-08 06:42 /user/hadoop/testdata
hadoop@namenode:~$ hadoop fs -ls ./testdata
Warning: $HADOOP_HOME is deprecated.

Found 1 items
-rw-r--r--   1 hadoop supergroup     288374 2014-11-08 06:42 /user/hadoop/testdata/synthetic_control.data

3.开始测试

hadoop@namenode:~$ mahout org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.
Warning: $HADOOP_HOME is deprecated.


Running on hadoop, using /home/hadoop/hadoop-1.2.1/bin/hadoop and HADOOP_CONF_DIR=/home/hadoop/hadoop-1.2.1/conf
MAHOUT-JOB: /home/hadoop/mahout-distribution-0.9/mahout-examples-0.9-job.jar
Warning: $HADOOP_HOME is deprecated.


14/11/08 06:47:25 WARN driver.MahoutDriver: No org.apache.mahout.clustering.syntheticcontrol.kmeans.Job.props found on classpath, will use command-line arguments only
14/11/08 06:47:25 INFO kmeans.Job: Running with default arguments
14/11/08 06:47:27 INFO kmeans.Job: Preparing Input
14/11/08 06:47:27 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.
14/11/08 06:47:30 INFO input.FileInputFormat: Total input paths to process : 1
14/11/08 06:47:30 INFO util.NativeCodeLoader: Loaded the native-hadoop library
14/11/08 06:47:30 WARN snappy.LoadSnappy: Snappy native library not loaded
14/11/08 06:47:31 INFO mapred.JobClient: Running job: job_201411080632_0002
14/11/08 06:47:32 INFO mapred.JobClient:  map 0% reduce 0%
14/11/08 06:48:18 INFO mapred.JobClient:  map 100% reduce 0%
14/11/08 06:48:21 INFO mapred.JobClient: Job complete: job_201411080632_0002
14/11/08 06:48:21 INFO mapred.JobClient: Counters: 19
14/11/08 06:48:21 INFO mapred.JobClient:   Job Counters 
14/11/08 06:48:21 INFO mapred.JobClient:     SLOTS_MILLIS_MAPS=19688
14/11/08 06:48:21 INFO mapred.JobClient:     Total time spent by all reduces waiting after reserving slots (ms)=0
14/11/08 06:48:21 INFO mapred.JobClient:     Total time spent by all maps waiting after reserving slots (ms)=0
14/11/08 06:48:21 INFO mapred.JobClient:     Rack-local map tasks=1
14/11/08 06:48:21 INFO mapred.JobClient:     Launched map tasks=1
14/11/08 06:48:21 INFO mapred.JobClient:     SLOTS_MILLIS_REDUCES=0
14/11/08 06:48:21 INFO mapred.JobClient:   File Output Format Counters 
14/11/08 06:48:21 INFO mapred.JobClient:     Bytes Written=335470
14/11/08 06:48:21 INFO mapred.JobClient:   FileSystemCounters
14/11/08 06:48:21 INFO mapred.JobClient:     HDFS_BYTES_READ=288503
14/11/08 06:48:21 INFO mapred.JobClient:     FILE_BYTES_WRITTEN=58838
14/11/08 06:48:21 INFO mapred.JobClient:     HDFS_BYTES_WRITTEN=335470
14/11/08 06:48:21 INFO mapred.JobClient:   File Input Format Counters 
14/11/08 06:48:21 INFO mapred.JobClient:     Bytes Read=288374
14/11/08 06:48:21 INFO mapred.JobClient:   Map-Reduce Framework
14/11/08 06:48:21 INFO mapred.JobClient:     Map input records=600
14/11/08 06:48:21 INFO mapred.JobClient:     Physical memory (bytes) snapshot=38473728
14/11/08 06:48:21 INFO mapred.JobClient:     Spilled Records=0
14/11/08 06:48:21 INFO mapred.JobClient:     CPU time spent (ms)=910
14/11/08 06:48:21 INFO mapred.JobClient:     Total committed heap usage (bytes)=16252928
14/11/08 06:48:21 INFO mapred.JobClient:     Virtual memory (bytes) snapshot=347992064
14/11/08 06:48:21 INFO mapred.JobClient:     Map output records=600
14/11/08 06:48:21 INFO mapred.JobClient:     SPLIT_RAW_BYTES=129
14/11/08 06:48:21 INFO kmeans.Job: Running random seed to get initial clusters
14/11/08 06:48:21 INFO zlib.ZlibFactory: Successfully loaded & initialized native-zlib library
14/11/08 06:48:21 INFO compress.CodecPool: Got brand-new compressor
14/11/08 06:48:22 INFO kmeans.RandomSeedGenerator: Wrote 6 Klusters to output/random-seeds/part-randomSeed
14/11/08 06:48:22 INFO kmeans.Job: Running KMeans with k = 6
14/11/08 06:48:22 INFO kmeans.KMeansDriver: Input: output/data Clusters In: output/random-seeds/part-randomSeed Out: output
14/11/08 06:48:22 INFO kmeans.KMeansDriver: convergence: 0.5 max Iterations: 10
14/11/08 06:48:22 INFO compress.CodecPool: Got brand-new decompressor
14/11/08 06:48:23 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.
14/11/08 06:48:24 INFO input.FileInputFormat: Total input paths to process : 1
14/11/08 06:48:25 INFO mapred.JobClient: Running job: job_201411080632_0003
14/11/08 06:48:26 INFO mapred.JobClient:  map 0% reduce 0%
14/11/08 06:48:56 INFO mapred.JobClient:  map 100% reduce 0%
14/11/08 06:49:09 INFO mapred.JobClient:  map 100% reduce 100%
14/11/08 06:49:12 INFO mapred.JobClient: Job complete: job_201411080632_0003
14/11/08 06:49:12 INFO mapred.JobClient: Counters: 29
14/11/08 06:49:12 INFO mapred.JobClient:   Job Counters 
14/11/08 06:49:12 INFO mapred.JobClient:     Launched reduce tasks=1
14/11/08 06:49:12 INFO mapred.JobClient:     SLOTS_MILLIS_MAPS=21258
14/11/08 06:49:12 INFO mapred.JobClient:     Total time spent by all reduces waiting after reserving slots (ms)=0
14/11/08 06:49:12 INFO mapred.JobClient:     Total time spent by all maps waiting after reserving slots (ms)=0
14/11/08 06:49:12 INFO mapred.JobClient:     Launched map tasks=1
14/11/08 06:49:12 INFO mapred.JobClient:     Data-local map tasks=1
14/11/08 06:49:12 INFO mapred.JobClient:     SLOTS_MILLIS_REDUCES=12821
14/11/08 06:49:12 INFO mapred.JobClient:   File Output Format Counters 
14/11/08 06:49:12 INFO mapred.JobClient:     Bytes Written=7581
14/11/08 06:49:12 INFO mapred.JobClient:   FileSystemCounters
14/11/08 06:49:12 INFO mapred.JobClient:     FILE_BYTES_READ=10650
14/11/08 06:49:12 INFO mapred.JobClient:     HDFS_BYTES_READ=358672
14/11/08 06:49:12 INFO mapred.JobClient:     FILE_BYTES_WRITTEN=141341
14/11/08 06:49:12 INFO mapred.JobClient:     HDFS_BYTES_WRITTEN=7581
14/11/08 06:49:12 INFO mapred.JobClient:   File Input Format Counters 
14/11/08 06:49:12 INFO mapred.JobClient:     Bytes Read=335470
14/11/08 06:49:12 INFO mapred.JobClient:   Map-Reduce Framework
14/11/08 06:49:12 INFO mapred.JobClient:     Map output materialized bytes=10650
14/11/08 06:49:12 INFO mapred.JobClient:     Map input records=600
14/11/08 06:49:12 INFO mapred.JobClient:     Reduce shuffle bytes=10650
14/11/08 06:49:12 INFO mapred.JobClient:     Spilled Records=12
14/11/08 06:49:12 INFO mapred.JobClient:     Map output bytes=10620
14/11/08 06:49:12 INFO mapred.JobClient:     Total committed heap usage (bytes)=132190208
14/11/08 06:49:12 INFO mapred.JobClient:     CPU time spent (ms)=7490
14/11/08 06:49:12 INFO mapred.JobClient:     Combine input records=0
14/11/08 06:49:12 INFO mapred.JobClient:     SPLIT_RAW_BYTES=122
14/11/08 06:49:12 INFO mapred.JobClient:     Reduce input records=6
14/11/08 06:49:12 INFO mapred.JobClient:     Reduce input groups=6
14/11/08 06:49:12 INFO mapred.JobClient:     Combine output records=0
14/11/08 06:49:12 INFO mapred.JobClient:     Physical memory (bytes) snapshot=183877632
14/11/08 06:49:12 INFO mapred.JobClient:     Reduce output records=6
14/11/08 06:49:12 INFO mapred.JobClient:     Virtual memory (bytes) snapshot=696659968
14/11/08 06:49:12 INFO mapred.JobClient:     Map output records=6
14/11/08 06:49:12 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.
14/11/08 06:49:14 INFO input.FileInputFormat: Total input paths to process : 1
14/11/08 06:49:15 INFO mapred.JobClient: Running job: job_201411080632_0004
14/11/08 06:49:16 INFO mapred.JobClient:  map 0% reduce 0%
14/11/08 06:50:02 INFO mapred.JobClient:  map 100% reduce 0%
14/11/08 06:50:15 INFO mapred.JobClient:  map 100% reduce 100%
14/11/08 06:50:19 INFO mapred.JobClient: Job complete: job_201411080632_0004
14/11/08 06:50:19 INFO mapred.JobClient: Counters: 29
14/11/08 06:50:19 INFO mapred.JobClient:   Job Counters 
14/11/08 06:50:19 INFO mapred.JobClient:     Launched reduce tasks=1
14/11/08 06:50:19 INFO mapred.JobClient:     SLOTS_MILLIS_MAPS=25946
14/11/08 06:50:19 INFO mapred.JobClient:     Total time spent by all reduces waiting after reserving slots (ms)=0
14/11/08 06:50:19 INFO mapred.JobClient:     Total time spent by all maps waiting after reserving slots (ms)=0
14/11/08 06:50:19 INFO mapred.JobClient:     Rack-local map tasks=1
14/11/08 06:50:19 INFO mapred.JobClient:     Launched map tasks=1
14/11/08 06:50:19 INFO mapred.JobClient:     SLOTS_MILLIS_REDUCES=12738
14/11/08 06:50:19 INFO mapred.JobClient:   File Output Format Counters 
14/11/08 06:50:19 INFO mapred.JobClient:     Bytes Written=7581
14/11/08 06:50:19 INFO mapred.JobClient:   FileSystemCounters
14/11/08 06:50:19 INFO mapred.JobClient:     FILE_BYTES_READ=13890
14/11/08 06:50:19 INFO mapred.JobClient:     HDFS_BYTES_READ=351142
14/11/08 06:50:19 INFO mapred.JobClient:     FILE_BYTES_WRITTEN=147821
14/11/08 06:50:19 INFO mapred.JobClient:     HDFS_BYTES_WRITTEN=7581
14/11/08 06:50:19 INFO mapred.JobClient:   File Input Format Counters 
14/11/08 06:50:19 INFO mapred.JobClient:     Bytes Read=335470
14/11/08 06:50:19 INFO mapred.JobClient:   Map-Reduce Framework
14/11/08 06:50:19 INFO mapred.JobClient:     Map output materialized bytes=13890
14/11/08 06:50:19 INFO mapred.JobClient:     Map input records=600
14/11/08 06:50:19 INFO mapred.JobClient:     Reduce shuffle bytes=13890
14/11/08 06:50:19 INFO mapred.JobClient:     Spilled Records=12
14/11/08 06:50:19 INFO mapred.JobClient:     Map output bytes=13860
14/11/08 06:50:19 INFO mapred.JobClient:     Total committed heap usage (bytes)=132190208
14/11/08 06:50:19 INFO mapred.JobClient:     CPU time spent (ms)=6550
14/11/08 06:50:19 INFO mapred.JobClient:     Combine input records=0
14/11/08 06:50:19 INFO mapred.JobClient:     SPLIT_RAW_BYTES=122
14/11/08 06:50:19 INFO mapred.JobClient:     Reduce input records=6
14/11/08 06:50:19 INFO mapred.JobClient:     Reduce input groups=6
14/11/08 06:50:19 INFO mapred.JobClient:     Combine output records=0
14/11/08 06:50:19 INFO mapred.JobClient:     Physical memory (bytes) snapshot=183332864
14/11/08 06:50:19 INFO mapred.JobClient:     Reduce output records=6
14/11/08 06:50:19 INFO mapred.JobClient:     Virtual memory (bytes) snapshot=695611392
14/11/08 06:50:19 INFO mapred.JobClient:     Map output records=6
14/11/08 06:50:19 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.
14/11/08 06:50:20 INFO input.FileInputFormat: Total input paths to process : 1
14/11/08 06:50:21 INFO mapred.JobClient: Running job: job_201411080632_0005
14/11/08 06:50:22 INFO mapred.JobClient:  map 0% reduce 0%
14/11/08 06:50:48 INFO mapred.JobClient:  map 100% reduce 0%
14/11/08 06:50:59 INFO mapred.JobClient:  map 100% reduce 33%
14/11/08 06:51:01 INFO mapred.JobClient:  map 100% reduce 100%
14/11/08 06:51:05 INFO mapred.JobClient: Job complete: job_201411080632_0005
14/11/08 06:51:05 INFO mapred.JobClient: Counters: 29
14/11/08 06:51:05 INFO mapred.JobClient:   Job Counters 
14/11/08 06:51:05 INFO mapred.JobClient:     Launched reduce tasks=1
14/11/08 06:51:05 INFO mapred.JobClient:     SLOTS_MILLIS_MAPS=17047
14/11/08 06:51:05 INFO mapred.JobClient:     Total time spent by all reduces waiting after reserving slots (ms)=0
14/11/08 06:51:05 INFO mapred.JobClient:     Total time spent by all maps waiting after reserving slots (ms)=0
14/11/08 06:51:05 INFO mapred.JobClient:     Rack-local map tasks=1
14/11/08 06:51:05 INFO mapred.JobClient:     Launched map tasks=1
14/11/08 06:51:05 INFO mapred.JobClient:     SLOTS_MILLIS_REDUCES=12804
14/11/08 06:51:05 INFO mapred.JobClient:   File Output Format Counters 
14/11/08 06:51:05 INFO mapred.JobClient:     Bytes Written=7581
14/11/08 06:51:05 INFO mapred.JobClient:   FileSystemCounters
14/11/08 06:51:05 INFO mapred.JobClient:     FILE_BYTES_READ=13890
14/11/08 06:51:05 INFO mapred.JobClient:     HDFS_BYTES_READ=351142
14/11/08 06:51:05 INFO mapred.JobClient:     FILE_BYTES_WRITTEN=147821
14/11/08 06:51:05 INFO mapred.JobClient:     HDFS_BYTES_WRITTEN=7581
14/11/08 06:51:05 INFO mapred.JobClient:   File Input Format Counters 
14/11/08 06:51:05 INFO mapred.JobClient:     Bytes Read=335470
14/11/08 06:51:05 INFO mapred.JobClient:   Map-Reduce Framework
14/11/08 06:51:05 INFO mapred.JobClient:     Map output materialized bytes=13890
14/11/08 06:51:05 INFO mapred.JobClient:     Map input records=600
14/11/08 06:51:05 INFO mapred.JobClient:     Reduce shuffle bytes=13890
14/11/08 06:51:05 INFO mapred.JobClient:     Spilled Records=12
14/11/08 06:51:05 INFO mapred.JobClient:     Map output bytes=13860
14/11/08 06:51:05 INFO mapred.JobClient:     Total committed heap usage (bytes)=132190208
14/11/08 06:51:05 INFO mapred.JobClient:     CPU time spent (ms)=3280
14/11/08 06:51:05 INFO mapred.JobClient:     Combine input records=0
14/11/08 06:51:05 INFO mapred.JobClient:     SPLIT_RAW_BYTES=122
14/11/08 06:51:05 INFO mapred.JobClient:     Reduce input records=6
14/11/08 06:51:05 INFO mapred.JobClient:     Reduce input groups=6
14/11/08 06:51:05 INFO mapred.JobClient:     Combine output records=0
14/11/08 06:51:05 INFO mapred.JobClient:     Physical memory (bytes) snapshot=183197696
14/11/08 06:51:05 INFO mapred.JobClient:     Reduce output records=6
14/11/08 06:51:05 INFO mapred.JobClient:     Virtual memory (bytes) snapshot=695611392
14/11/08 06:51:05 INFO mapred.JobClient:     Map output records=6

4观察输出

hadoop@namenode:~$ hadoop fs -ls ./output
Warning: $HADOOP_HOME is deprecated.

Found 15 items
-rw-r--r-- 1 hadoop supergroup 194 2014-11-08 06:56 /user/hadoop/output/_policy
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:57 /user/hadoop/output/clusteredPoints
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:48 /user/hadoop/output/clusters-0
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:49 /user/hadoop/output/clusters-1
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:56 /user/hadoop/output/clusters-10-final
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:50 /user/hadoop/output/clusters-2
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:51 /user/hadoop/output/clusters-3
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:51 /user/hadoop/output/clusters-4
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:52 /user/hadoop/output/clusters-5
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:53 /user/hadoop/output/clusters-6
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:54 /user/hadoop/output/clusters-7
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:54 /user/hadoop/output/clusters-8
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:55 /user/hadoop/output/clusters-9
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:48 /user/hadoop/output/data
drwxr-xr-x - hadoop supergroup 0 2014-11-08 06:48 /user/hadoop/output/random-seeds

mahout部署实践

标签：hadoop mahout

原文地址：http://blog.csdn.net/u010414066/article/details/40683033

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周排行

mahout部署实践

一 下载mahout并解压

二 设置环境变量

1一些说明

2具体操作

3一个问题

三 验证是否安装成功

四 测试kmeans算法

1.下载测试数据

2.把测试数据放到hdfs中

3.开始测试

4观察输出

一下载mahout并解压

二设置环境变量

三验证是否安装成功

四测试kmeans算法