ETL with Hadoop - Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset - page 299

With the mapper and reducer transformations now defined, I can create a Map Reduce job, as shown in
Figure 10-15 . A job always starts with a Start step, which I have pulled over from the General folder. I also add a Map
Reduce step, which uses the new mapper and reducer transformations.
Figure 10-15. Map Reduce job setup
Double-clicking the Start step gives me the option to schedule the job. As you can see in Figure 10-16 , this Map
Reduce job is scheduled to run daily at 13:20.
Figure 10-16. Job scheduling for Map Reduce job
Figure 10-17 shows the Mapper configuration for the Map Reduce job called “pmr1.” The mapper value is defined
as the newly created mapper transformation, while the input and output values are defined as using the mapper
transformation MapReduce Input and Output steps.