Answer / Shamshul

Optimizing a MapReduce job involves various techniques such as: using Combiner functions, reducing the number of shuffles by combining map and reduce tasks (combineFile), setting appropriate record reader and writer for input and output formats, increasing the number of reducers based on data size, etc.

What are the benefits of Spark over MapReduce?

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How to write MapReduce Programs?

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How is reporting controlled in hadoop?

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Is it possible to split 100 lines of input as a single split in MapReduce?

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Can there be no Reducer?

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What is the key- value pair in MapReduce?

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Define the purpose of the partition function in mapreduce framework

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How to write a custom partitioner for a Hadoop MapReduce job?

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What is identity mapper and reducer? In which cases can we use them?

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Can we rename the output file?

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What do you mean by data locality?

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Explain what is the function of mapreduce partitioner?

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