Introduction

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

Steps

Testing it on one single machine w/o cluster

In the examples directory type, for example:

 
mvn -q exec:java -Dexec.mainClass="org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderJob" -Dexec.args="<OPTIONS>" 

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.

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.