Answer / Anil Singh

"ReduceByKey" is a transformational operation in Apache Spark that works on RDD (Resilient Distributed Dataset). It partitions the data, performs reductions for each partition independently, and then merges the results. Each reduction function takes two values of the same key as input and produces one output. ReduceByKey is useful when you want to compute a summary statistic like count, sum, or average.

How rdd persist the data?

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What advantages does Spark offer over Hadoop MapReduce?

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How can you remove the elements with a key present in any other RDD?

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Can you explain spark core?

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Which serialization libraries are supported in spark?

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Why is spark used?

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What is rdd partition?

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What is an "RDD Lineage"?

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Explain Spark leftOuterJoin() and rightOuterJoin() operation?

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What is spark ml?

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What is difference between spark and hadoop?

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How spark works on hadoop?

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