Skip to main content
Hitachi Vantara Lumada and Pentaho Documentation

Pentaho MapReduce Workflow

PDI and Pentaho MapReduce enables you to pull data from a Hadoop cluster, transform it, and pass it back to the cluster. Here is how you would approach doing this.

PDI Transformation

Start by deciding what you want to do with your data, open a PDI transformation, and drag the appropriate steps onto the canvas, configuring the steps to meet your data requirements. Drag the specifically-designed Hadoop MapReduce Input and Hadoop MapReduce Output steps onto the canvas. PDI provides these steps to completely avoid the need to write Java classes for this functionality. Configure both of these steps as needed. Once you have configured all the steps, add hops to sequence the steps as a transformation. Follow the workflow as shown in this sample transformation in order to properly communicate with Hadoop. Name this transformation Mapper.


Hadoop communicates in key/value pairs. PDI uses the MapReduce Input step to define how key/value pairs from Hadoop are interpreted by PDI. The MapReduce Input dialog box enables you to configure the MapReduce Input step.


PDI uses a MapReduce Output step to pass the output back to Hadoop. The MapReduce Output dialog box enables you to configure the MapReduce Output step.


What happens in the middle is entirely up to you. Pentaho provides many sample steps you can alter to create the functionality you need.


Once you have created the Mapper transformation, you are ready to include it in a Pentaho MapReduce job entry and build a MapReduce job. Open a PDI job and drag the specifically-designed Pentaho MapReduce job entry onto the canvas. In addition to ordinary transformation work, this entry is designed to execute mapper/reducer functions within PDI. Again, no need to provide a Java class to achieve this.

Configure the Pentaho MapReduce entry to use the transformation as a mapper. Drag and drop a Start job entry, other job entries as needed, and result jobentries to handle the output onto the canvas. Add hops to sequence the entries into a job that you execute in PDI.

The workflow for the job should look something like this.


The Pentaho MapReduce dialog box enables you to configure the Pentaho MapReduce entry.