How would you configure a MapReduce job to handle a very large input file efficiently?
- Adjust Block Size
- Decrease Reducer Count
- Increase Mapper Memory
- Use Hadoop Streaming
To handle a very large input file efficiently, configuring the MapReduce job to adjust block size is crucial. Larger block sizes can lead to more efficient processing by reducing the number of input splits and overhead associated with task startup.
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