Data Programming代写、Python编程语言调试、代写Python

日期：2020-09-22 11:17

Winter Semester 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”.