How does a Combiner function in a MapReduce job optimize the data processing?
- Aggregates intermediate outputs
- Combines input data
- Controls data distribution
- Reduces network traffic
A Combiner in MapReduce optimizes data processing by aggregating intermediate outputs from the Mapper before sending them to the Reducer. This reduces the volume of data transferred over the network, improving overall performance by minimizing data movement.
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