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1. A developer should be able to set multiple datasets as input to one MapReduce job.
   
   1. Each dataset has The datasets have the same typeEach dataset has .
   2. The datasets have different types (this will require different Mapper classes). Note that the restriction here is that each of the Mappers must have the same output type (single Reducer class).
2. A developer should be able to read from different partitions of a PartitionedFileSet (multiple time ranges of a TimePartitionedFileSet).
3. A developer should be able to know which input they are processing data from, in their Mapper/Reducer.

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