In a scenario where data is unevenly distributed across keys, what MapReduce feature helps in balancing the load?
- Combiner Function
- Partitioner
- Shuffle and Sort
- Speculative Execution
In cases of uneven data distribution, the Partitioner in MapReduce helps balance the load by ensuring that data with the same key goes to the same reducer. This helps in achieving a more even distribution of processing tasks among reducers, improving performance.
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