Answer / Ishwar Singh Gwal

A job in MapReduce represents the high-level processing of a user's workflow, consisting of multiple map and reduce tasks. Each task processes data in parallel by splitting it into several input splits, performing the map or reduce operation on each split, and then shuffling and sorting the output. Tasks are executed on worker nodes in response to job requests from the client.

Differentiate Reducer and Combiner in Hadoop MapReduce?

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Why the output of map tasks are stored (spilled ) into local disc and not in hdfs?

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What is the data storage component used by Hadoop?

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In Map Reduce why map write output to Local Disk instead of HDFS?

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What is a Distributed Cache in Hadoop?

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How does Hadoop Classpath plays a vital role in stopping or starting in Hadoop daemons?

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Explain what is “map” and what is "reducer" in hadoop?

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What is map/reduce job in hadoop?

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How to create a custom key and custom value in MapReduce Job?

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Is Mapreduce Required For Impala? Will Impala Continue To Work As Expected If Mapreduce Is Stopped?

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What does a split do?

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Explain slot in Hadoop Map-Reduce v1?

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