Answer / Ankur Sudhanshu

The Reduce phase in MapReduce is where intermediate key-value pairs are processed and reduced to a smaller set of key-value pairs. Each reducer processes a subset of the shuffled data, grouped by key, and applies a user-defined reduce function on the values for each key.

What is the function of mapreduce partitioner?

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What is a "map" in Hadoop?

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mapper or reducer?

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What is the purpose of textinputformat?

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What are the steps involved in MapReduce framework?

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what is NameNode in Hadoop?

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Explain about the partitioning, shuffle and sort phase in MapReduce?

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How to submit extra files(jars,static files) for MapReduce job during runtime in Hadoop?

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What are mapreduce new and old apis while writing map reduce program?. Explain how it works

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How is Spark not quite the same as MapReduce? Is Spark quicker than MapReduce?

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Clarify what combiners are and when you should utilize a combiner in a map reduce job?

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How do you stop a running job gracefully?

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