How does the implementation of a Combiner in a MapReduce job impact the overall job performance?
- Enhances sorting efficiency
- Improves data compression
- Increases data replication
- Reduces intermediate data volume
The implementation of a Combiner in a MapReduce job impacts performance by reducing the intermediate data volume. A Combiner combines the output of the Mapper phase locally on each node, reducing the data that needs to be transferred to the Reducer. This minimizes network traffic and improves overall job efficiency.
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