Table of Contents
Why Must You Specify an Output Directory for Hadoop MapReduce Job Results?
Learn the purpose of the Output Path in Hadoop MapReduce. Understand how defining an HDFS output directory ensures your job results are stored in a predictable location for easy access and further processing.
Question
What is the purpose of specifying the Output Path in Hadoop?
A. To validate node communication
B. To configure rack awareness policies
C. To define the HDFS directory where job results are saved
D. To replicate metadata across clusters
Answer
C. To define the HDFS directory where job results are saved
Explanation
The Output Path setting tells Hadoop exactly which directory in HDFS should store the final results of a MapReduce job (such as part-00000, part-00001, etc.). It does not manage communication, rack awareness, or metadata replication; instead, it simply specifies the destination folder for the job’s completed output so that users and downstream jobs know where to read the results.