Answer / Himansh Sagar

The optimal size of a file for distributed cache in MapReduce depends on various factors such as the size of the cluster, network bandwidth, and the job being executed. However, a general guideline is to keep the size of files small enough so that they can fit into memory for fast access, but large enough to reduce the number of shuffles required during the MapReduce job.

Explain how mapreduce works.

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How to set the number of reducers?

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What is the purpose of textinputformat?

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What do sorting and shuffling do?

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What are ‘reduces’?

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What is Reduce only jobs?

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What is mapper in map reduce?

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What are the configuration parameters in the 'MapReduce' program?

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What is a distributed cache in mapreduce framework?

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what are the main configuration parameters that user need to specify to run Mapreduce Job ?

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what are the basic parameters of a Mapper?

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