In MapReduce, what is the role of the Mapper?Question 1Answera.Data filteringb.Data sortingc. Data shufflingd.Data processing

Understanding the Role of the Mapper in MapReduce

1. Definition of Mapper: In the MapReduce programming model, the Mapper is a key component responsible for processing input data. It operates on the data during the map phase of the MapReduce workflow.

2. Functionality: The primary role of the Mapper is to take input data in the form of key-value pairs, process it, and produce intermediate key-value pairs that are subsequently fed into the Reducer phase.

3. Data Filtering and Processing: The Mapper often performs operations such as filtering out unneeded data, parsing the input, and performing transformations. This means that options (a) Data filtering and (d) Data processing are closely aligned with the Mapper's responsibilities.

4. Not Sorting or Shuffling: Sorting and shuffling are generally handled by the framework itself after the Mapper phase, before the Reducer takes over. Therefore, options (b) Data sorting and (c) Data shuffling do not accurately describe the Mapper's direct role.

Conclusion

From the understanding of the Mapper's role in the MapReduce model, the best answer is:

Final Answer

d. Data processing