How does the Partitioner in MapReduce influence the way data is processed by Reducers?
- Data Filtering
- Data Replication
- Data Shuffling
- Data Sorting
The Partitioner in MapReduce determines how the data output from Mappers is distributed to Reducers. It partitions the data based on a specified key, ensuring that all data for a given key is processed by the same Reducer. This influences the way data is grouped and processed during the shuffle phase in the MapReduce job.
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