In MapReduce framework the partitioner is responsible for partitioning the map intermediate output key-values into partitions to make sure that every reducer receives the same number of key-value pairs Select one: True O False

Programming Logic & Design Comprehensive
9th Edition
ISBN:9781337669405
Author:FARRELL
Publisher:FARRELL
Chapter7: File Handling And Applications
Section: Chapter Questions
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Which of the following can be used to control number of output files of the MapReduce job output
directory
Select one:
a. Number of partitions from the partitioner
b. Number of mappers
c. Number of reducers
Which of the following is true about HDFS Block
Select one:
a. It is a physical representation of data
b. It is both logical and physical representation of data
c. It is a logical representation of data
In MapReduce framework the partitioner is responsible for partitioning the map intermediate
output key-values into partitions to make sure that every reducer receives the same number of
key-value pairs
Select one:
True
False
Transcribed Image Text:Which of the following can be used to control number of output files of the MapReduce job output directory Select one: a. Number of partitions from the partitioner b. Number of mappers c. Number of reducers Which of the following is true about HDFS Block Select one: a. It is a physical representation of data b. It is both logical and physical representation of data c. It is a logical representation of data In MapReduce framework the partitioner is responsible for partitioning the map intermediate output key-values into partitions to make sure that every reducer receives the same number of key-value pairs Select one: True False
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