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Pentaho MapReduce can be configured through the pentaho-mapreduceplugin.properties found in the plugin's base directory, or overridden per Pentaho MapReduce job entry if they are defined in the User Defined properties tab.

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1. Unzip pentaho-mapreduce-libraries.zip, it contains a single lib/ directory with the required Kettle dependencies
2. Copy additional libraries to the lib/ directory
3. Zip up the lib/ directory into pentaho-mapreduce-libraries-custom.zip so the archive contains the lib/ with all jars within it (you may create subdirectories within lib/. All jars found in lib/ and its subdirectories will be added to the classpath of the executing job.)
4. Update pentaho-mapreduceplugin.properties and update the following properties:

   Code Block
   pmr.kettle.installation.id=custom pmr.libraries.archive.file=pentaho-mapreduce-libraries-custom.zip

The next time you execute Pentaho MapReduce the custom Kettle environment will be copied into HDFS at pmr.kettle.dfs.install.dir/custom and used when executing the job. You can switch between Kettle environments by specifying the pmr.kettle.installation.id property as a User Defined property per Pentaho MapReduce job entry or globally in the pentaho-mapreduceplugin.properties file*.

*Note: Only if the installation referenced by pmr.kettle.installation.id does not exist will the archive file and additional plugins currently configured will be used to "install" it into HDFS.

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