Write a python code using Apache Spark to get CSV format as output. Basically, you are required to write to a folder, where each part must be in csv format. You have to organize each of your record as a CSV row when you output from Spark. The output CSV data does not have to contain a header line. The final hand in should be a single python file, named BDM_HW_lastname.py that takes exactly 2 arguments for input and output path respectively. Your code will be run with 2 executors, 5 cores per executors. Note: Assume input data contains 5-8 columns and large numbers of rows.
Write a python code using Apache Spark to get CSV format as output. Basically, you are required to write to a folder, where each part must be in csv format. You have to organize each of your record as a CSV row when you output from Spark. The output CSV data does not have to contain a header line. The final hand in should be a single python file, named BDM_HW_lastname.py that takes exactly 2 arguments for input and output path respectively. Your code will be run with 2 executors, 5 cores per executors. Note: Assume input data contains 5-8 columns and large numbers of rows.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Write a python code using Apache Spark to get CSV format as output. Basically, you are required to write to a folder, where each part must be in csv format. You have to organize each of your record as a CSV row when you output from Spark. The output CSV data does not have to contain a header line. The final hand in should be a single python file, named BDM_HW_lastname.py that takes exactly 2 arguments for input and output path respectively. Your code will be run with 2 executors, 5 cores per executors.
Note: Assume input data contains 5-8 columns and large numbers of rows.
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