Mapreduce Types And Hadoop Cluster(Engineering > Computer Science And Engineering > Hadoop ) Questions and Answers
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Answer: Option A. -> HbaseHBase is the Hadoop database: a distributed, scalable Big Data store that lets you host very large tables ” billions of rows multiplied by millions of columns ” on clusters built with commodity hardware.
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Answer: Option A. -> Scale outHDFS and NoSQL file systems focus almost exclusively on adding nodes to increase performance (scale-out) but even they require node configuration with elements of scale up.
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Answer: Option B. -> KeyFieldBasedPartitionerThe primary key is used for partitioning, and the combination of the primary and secondary keys is used for sorting.
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Answer: Option B. -> MultipleInputsOne might be tab-separated plain text, the other a binary sequence file. Even if they are in the same format, they may have different representations, and therefore need to be parsed differently.
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Answer: Option C. -> MultithreadedMapRunnerA RecordReader is little more than an iterator over records, and the map task uses one to generate record key-value pairs, which it passes to the map function.
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Answer: Option B. -> SequenceFileAsTextInputFormatWith multiple reducers, records will be allocated evenly across reduce tasks, with all records that share the same key being processed by the same reduce task.