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The text files orders.txt and details.txt contain information about the orders submitted by the customers and about the details of each order, i.e. the items included in each order. Each file consists of a line with a header and a number of lines with data. The sample rows included in the files are the following. orders.txt order, number, customer-number 0001,1234 0002,1234 0003, 7890 details.txt order-number,line-number, item-name, quantity 0001,01,bolt, 25 0001,02, screw, 20 0002,01,bolt,100 0002,02, nut,300 0003,01, trolley,1 The headers of the files have been removed and the files have been loaded to HDFS to a location /bigdata/orders. (1) Load the contents of a file details.txt located in HDFS into a Resilient Distributed Dataset (RDD) and use RDD to find the total quantity per each item. (2) Load the contents of a file details.txt located in HDFS into a Dataset and use the Dataset to find the total quantity per each item. (3) Load the contents of a file details.txt located in HDFS into a DataFrame and use SQL to find the total quantity per each item.

The text files orders.txt and details.txt contain information about the orders submitted by the customers and about the details of each order, i.e. the items included in each order. Each file consists of a line with a header and a number of lines with data. The sample rows included in the files are the following. orders.txt order, number, customer-number 0001,1234 0002,1234 0003, 7890 details.txt order-number,line-number, item-name, quantity 0001,01,bolt, 25 0001,02, screw, 20 0002,01,bolt,100 0002,02, nut,300 0003,01, trolley,1 The headers of the files have been removed and the files have been loaded to HDFS to a location /bigdata/orders. (1) Load the contents of a file details.txt located in HDFS into a Resilient Distributed Dataset (RDD) and use RDD to find the total quantity per each item. (2) Load the contents of a file details.txt located in HDFS into a Dataset and use the Dataset to find the total quantity per each item. (3) Load the contents of a file details.txt located in HDFS into a DataFrame and use SQL to find the total quantity per each item.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question 6 The text files orders.txt and details.txt contain information about the orders submitted by the customers and about the details of each order, i.e. the items included in each order. Each file consists of a line with a header and a number of lines with data. The sample rows included in the files are the following. orders.txt order, number, customer-number 0001,1234 0002,1234 0003, 7890 details.txt order-number,line-number,item-name, quantity 0001,01,bolt, 25 0001,02, screw, 20 0002,01,bolt,100 0002,02, nut, 300 0003,01, trolley,1 The headers of the files have been removed and the files have been loaded to HDFS to a location /bigdata/orders. (1) Load the contents of a file details.txt located in HDFS into a Resilient Distributed Dataset (RDD) and use RDD to find the total quantity per each item. (2) Load the contents of a file details.txt located in HDFS into a Dataset and use the Dataset to find the total quantity per each item. (3) Load the contents of a file details.txt located in HDFS into a DataFrame and use SQL to find the total quantity per each item.
Transcribed Image Text:Question 6 The text files orders.txt and details.txt contain information about the orders submitted by the customers and about the details of each order, i.e. the items included in each order. Each file consists of a line with a header and a number of lines with data. The sample rows included in the files are the following. orders.txt order, number, customer-number 0001,1234 0002,1234 0003, 7890 details.txt order-number,line-number,item-name, quantity 0001,01,bolt, 25 0001,02, screw, 20 0002,01,bolt,100 0002,02, nut, 300 0003,01, trolley,1 The headers of the files have been removed and the files have been loaded to HDFS to a location /bigdata/orders. (1) Load the contents of a file details.txt located in HDFS into a Resilient Distributed Dataset (RDD) and use RDD to find the total quantity per each item. (2) Load the contents of a file details.txt located in HDFS into a Dataset and use the Dataset to find the total quantity per each item. (3) Load the contents of a file details.txt located in HDFS into a DataFrame and use SQL to find the total quantity per each item.
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