EMERGING TRENDS IN SOFTWARE ENGINEERING
CLOUD COMPUTING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Mapper
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Cascader
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Scalding
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None of the mentioned
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Detailed explanation-1: -The output of the is not sorted in the Mapreduce framework for Hadoop. Explanation:The output of the reduce task is typically written to the FileSystem. The output of the Reducer is not sorted.
Detailed explanation-2: -Sort phase in MapReduce covers the merging and sorting of map outputs. Data from the mapper are grouped by the key, split among reducers, and sorted by the key. Every reducer obtains all values associated with the same key. Shuffle and sort phase in Hadoop occur simultaneously and are done by the MapReduce framework.
Detailed explanation-3: -What is MapReduce? MapReduce is a programming paradigm that enables massive scalability across hundreds or thousands of servers in a Hadoop cluster. As the processing component, MapReduce is the heart of Apache Hadoop. The term “MapReduce” refers to two separate and distinct tasks that Hadoop programs perform.