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From conflue...@apache.org
Subject [CONF] Apache Lucene Mahout > TasteCommandLine
Date Tue, 23 Mar 2010 18:36:00 GMT
Space: Apache Lucene Mahout (http://cwiki.apache.org/confluence/display/MAHOUT)
Page: TasteCommandLine (http://cwiki.apache.org/confluence/display/MAHOUT/TasteCommandLine)


Edited by Sean Owen:
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h1. Introduction 

This quick start page describes how to run the hadoop based recommendation jobs of Mahout
Taste on a Hadoop cluster. 

h1. Steps 

h2. Testing it on one single machine w/o cluster 

In the examples directory type, for example: 
{code} 
mvn -q exec:java -Dexec.mainClass="org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderJob"
-Dexec.args="<OPTIONS>" 
{code} 

h2. Running it on the cluster 

* In $MAHOUT_HOME/, build the jar containing the job (mvn install) The job will be generated
in $MAHOUT_HOME/core/target/ and it's name will contain the Mahout version number. For example,
when using Mahout 0.3 release, the job will be mahout-core-0.3.jar 
* (Optional) 1 Start up Hadoop: $HADOOP_HOME/bin/start-all.sh 
* Put the data: $HADOOP_HOME/bin/hadoop fs -put <PATH TO DATA> testdata 
* Run the Job: $HADOOP_HOME/bin/hadoop jar $MAHOUT_HOME/core/target/mahout-core-<MAHOUT
VERSION>.job org.apache.mahout.cf.taste.hadoop.<JOB> <OPTIONS> 
* Get the data out of HDFS and have a look. Use bin/hadoop fs -lsr output to view all outputs.


h1. Command line options 

Specify only the command line option "--help" for a complete summary of available command
line options. Or, refer to the javadoc for the "Job" class being run.


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