Answer / Abhishek Saxena

The MapReduce Partitioner's primary function is to distribute the input data into smaller partitions based on a certain rule (e.g., range, hash). This process helps in parallelizing the processing of large datasets and improves overall performance.

What is the process of changing the split size if there is limited storage space on Commodity Hardware?

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What is the Hadoop MapReduce API contract for a key and value Class?

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How to optimize Hadoop MapReduce Job?

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What are the primary phases of a Reducer?

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What do you mean by data locality?

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What do you understand by mapreduce?

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What does conf.setmapper class do?

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What are the disservices of utilizing Apache Spark over Hadoop MapReduce?

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Why is Apache Spark faster than Hadoop MapReduce?

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Which one will you decide for an undertaking – Hadoop MapReduce or Apache Spark?

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How does fault tolerance work in mapreduce?

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What happens when a datanode fails ?

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