EMERGING TRENDS IN COMPUTING
CLOUD COMPUTING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Mapper
|
|
|
Cascader
|
|
|
Scalding
|
|
|
None of the mentioned
|
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: -Where sorting is done in MapReduce Job execution? Sorting in MapReduce is on Both Mapper Side as well as Reducer side. The Mapper process the input key value pair from Record Reader and generates output as per custom Business logic, before writing the data the output is partitioned and sorted by key.
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.
Detailed explanation-4: -Reads assigned input split from HDFS. Parses input into records as key-value pairs. Applies map function to each record. Informs master node of its completion. 09-Mar-2018