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4. How many input & output Key Value Pairs are passed into, and emitted out of...

4. How many input & output Key Value Pairs are passed into, and emitted out of the Mappers?

5. How many input & output Key Value Pairs are passed into, and emitted out of the Reducers?

6. It is possible to have a Reducer-only job. True/False? Explain your answer.

7. Why were frameworks like Pig and Hive built on top of MapReduce?

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Ans 4 :- The input and output key value pairs passed into, and emitted out of the Mappers are -- If, map method receives input of (k2, V2) then, the output emitted out of the Mappers is (k3, V3).

Ans 5 :- The input and output key value pairs passed into, and emitted out of the Reducers are --- When, the output comes from the mapper it as same the input receives by the reducer that is, (k3, LIST(V3)) and the output emitted is (k4, v4).

Ans 6 :- False, No it is not possible to have a reducer-only job only it would like one is having a class and to perform aggregation that class is extended to Reducer class. So, you cannot have only a Reducer - only job.

Ans 7 :- Pig and Hive are the two components of a Hadoop ecosystem which are used to ease the complexity of complex java MapReduce programs. So, these frameworks are built on top of a Map Reduce to process large datasets so, that it becomes ease for the users and they don't have to write Java Map Reduce codes.

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