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Python Equi-join MapReduce Homework
Mappe Input: [table_identifier, join_key, sequence of
other columns]
● ["order", "32", "130057", "O", "208660.75", "1995-07-16", "2-HIGH",
"Clerk#000000616", "0", "ise blithely bold, regular requests. quickly unusual dep"]
● ...
● ["line_item", "32", "82704", "7721", "1", "28", "47227.60", "0.05", "0.08", "N", "O",
"1995-10-23", "1995-08-27", "1995-10-26", "TAKE BACK RETURN", "TRUCK", "sleep
quickly. req"]
● ... Reduce Output: [sequence of the columns of ORDER, sequence of
the columns of LINEITEM]
● ["order", "32", "130057", "O", "208660.75", "1995-07-16", "2-HIGH",
"Clerk#000000616", "0", "ise blithely bold, regular requests. quickly unusual dep",
"line_item", "32", "82704", "7721", "1", "28", "47227.60", "0.05", "0.08", "N", "O",
"1995-10-23", "1995-08-27", "1995-10-26", "TAKE BACK RETURN", "TRUCK", "sleep
quickly. req"]
>> python join.py records.json
NOTE: Zip join.py & a report about what you learned, outputs, and command line you
executed. Then, upload zip file (named your student id like
assignment1_2012104087-ORDER.zip)
Plagiarism: Your python file will be checked by each other students’ file to prevent
‘plagiarism’. FYI, a professor has complete codes that people submitted before. If you copy
and look at the other python file, you will get the lowset grade.
Copyright: This material was provided by Prof. Bill Howe at University of Washington for his
Coursera course "Introduction to Data Science.". Prof. Hae Joon Lee in Kyung-Hee University
got permission to use this assignment for our course “Big Data Programming”.
Python Equi-join MapReduce Homework
Mappe Input: [table_identifier, join_key, sequence of
other columns]
● ["order", "32", "130057", "O", "208660.75", "1995-07-16", "2-HIGH",
"Clerk#000000616", "0", "ise blithely bold, regular requests. quickly unusual dep"]
● ...
● ["line_item", "32", "82704", "7721", "1", "28", "47227.60", "0.05", "0.08", "N", "O",
"1995-10-23", "1995-08-27", "1995-10-26", "TAKE BACK RETURN", "TRUCK", "sleep
quickly. req"]
● ... Reduce Output: [sequence of the columns of ORDER, sequence of
the columns of LINEITEM]
● ["order", "32", "130057", "O", "208660.75", "1995-07-16", "2-HIGH",
"Clerk#000000616", "0", "ise blithely bold, regular requests. quickly unusual dep",
"line_item", "32", "82704", "7721", "1", "28", "47227.60", "0.05", "0.08", "N", "O",
"1995-10-23", "1995-08-27", "1995-10-26", "TAKE BACK RETURN", "TRUCK", "sleep
quickly. req"]
>> python join.py records.json
NOTE: Zip join.py & a report about what you learned, outputs, and command line you
executed. Then, upload zip file (named your student id like
assignment1_2012104087-ORDER.zip)
Plagiarism: Your python file will be checked by each other students’ file to prevent
‘plagiarism’. FYI, a professor has complete codes that people submitted before. If you copy
and look at the other python file, you will get the lowset grade.
Copyright: This material was provided by Prof. Bill Howe at University of Washington for his
Coursera course "Introduction to Data Science.". Prof. Hae Joon Lee in Kyung-Hee University
got permission to use this assignment for our course “Big Data Programming”.