In a complex MapReduce job, what is the role of a Partitioner?
- Data Aggregation
- Data Distribution
- Data Encryption
- Data Transformation
In a complex MapReduce job, the Partitioner plays a crucial role in data distribution. It determines how the key-value pairs outputted by the Map tasks are distributed to the Reducer tasks. An effective Partitioner ensures that similar keys end up in the same partition, optimizing data processing efficiency during the Reduce phase.
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