Description
Late Submissions are not accepted. 10% deduction per day will be applied for late submissions
Disclaimer: This assignment requires students to work on various websites and open Datasets with appropriate citation. Submissions related to this assignment will not be used for commercial purposes.
Objective:
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The objective of this assignment is to understand research and industry problems related to distributed database operations, and transactions management.
Plagiarism Policy:
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This assignment is an individual task. Collaboration of any type amounts to a violation of the academic integrity policy and will be reported to the AIO.
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Content cannot be copied verbatim from any source(s). Please understand the concept and write in your own words. In addition, cite the actual source. Failing to do so will be considered as plagiarism and/or cheating.
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The Dalhousie Academic Integrity policy applies to all material submitted as part of this course. Please understand the policy, which is available at: https://www.dal.ca/dept/university_secretariat/academic-integrity.html
Assignment Rubric
Excellent |
Proficient (15%) |
Marginal (5%) |
Unacceptable |
This Rubric |
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(25%) |
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Completeness |
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including |
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tasks are correct |
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unacceptable |
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correct |
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incorrect. The |
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portions need |
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minor |
requires major |
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modifications |
modifications. |
Novelty |
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contribution in |
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key segments, |
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which is a clear |
evidences of |
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indication of |
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application |
however, it is not |
some effort |
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knowledge |
significant |
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Clarity |
The written or |
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graphical |
graphical |
graphical |
the clarity. Need |
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materials, and |
materials and |
materials, and |
proper |
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developed |
developed |
developed |
background |
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applications |
applications do |
applications fail |
knowledge to |
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provide a clear |
not show clear |
to prove the |
perform the tasks |
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picture of the |
picture of the |
clarity. |
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concept, and |
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Citation:
McKinney, B. (2018). The impact of program-wide discussion board grading rubrics on students’ and faculty satisfaction. Online Learning, 22(2), 289-299.
Problem #1: This problem contains two reading tasks.
Reading Material #1: To retrieve the paper, visit IEEE database through libraries.dal.ca
M. Sharma and G. Singh, “Analysis of Joins and Semi-joins in Centralized and Distributed Database Queries,” 2012 International Conference on Computing Sciences, Phagwara, 2012, pp. 15-20, doi: 10.1109/ICCS.2012.15.
Reading Material #2: To retrieve the paper, visit IEEE database through libraries.dal.ca
V. Kate, A. Jaiswal and A. Gehlot, “A survey on distributed deadlock and distributed algorithms to detect and resolve deadlock,” 2016 Symposium on Colossal Data Analysis and Networking (CDAN), Indore, 2016, pp. 1 -6, doi: 10.1109/CDAN.2016.7570873.
Read the papers and perform the following:
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Write a summary (@ 1 page/ paper) on the paper in your own words. (you do not need to add images/figures/tables from the paper. However, you can add your own block diagrams or flowcharts to support the summary you have written)
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What is the central idea of discussion?
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Did you find any topic of interest in this paper? If Yes, what are those, and why do you think those are interesting? If No, then as per you, what are the shortcomings of this paper?
Submission Expectations: 1 page Report for each paper (total 2 pages) containing the summary and analysis
Problem #1 Submission Requirements: A single PDF file (2 pages for two summaries)
Summer 2021 saurabh.dey@dal.ca
Problem #2: This problem contains two tasks. 1 logical task + 1 Programming task
Research and Development: You need to simulate a distributed DBMS
Visit the website and extract the following datasets:
https://www.kaggle.com/olistbr/brazilian-ecommerce?select=olist_order_payments_dataset.csv
Problem Scenario: A company “Data5408” has two branches, VM1 and VM2. Assume that the datasets you received from Kaggle are data of “Data5408”. In this question, you need to perform two tasks:
Task 1: Build Distributed Database
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If the datasets are converted to database tables, and database(s), how will it be placed, state the reasons? (E.g. why did you consider specific Fragmentation, transparency etc.)
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You need to create two MySQL instances in two GCP Virtual Machines {VM1, and VM2}. Your VM1 site is responsible for storing customer, geolocation, user related information. VM2 site is responsible for storing all remaining information such as, item, product, payments etc. [Note: If you experience issues in handling large datasets, then consider a random reasonable size (<1000 data points) subset of the given data.]
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If required, please perform data cleaning, decomposition of dataset etc. before creating the database and record your logic in the PDF. Cleaning using spreadsheet is sufficient
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Since “Data5408” implemented a distributed database, it should create and maintain a Global Data Catalogue or Global Data Dictionary. How will you create it? Where will it be placed? [Hint: Global data dictionary (GDD) is an additional component, which does not eliminate the need of local data dictionaries. GDD usually contains information on databases, tables that are located at different sites, and connected using the network.]
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You do not have to write SQL script for this part, you can use import statement to upload your clean table on VM1 and VM2 database.
Problem #2 – Task 1 – Submission Requirements:
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A single PDF file with data cleaning, formatting logic or screenshots
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Screenshots of VM1, VM2 MySQL instances
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SQL dump {structure and value} taken from VM1, and VM2
Task 2: Perform Concurrent Remote Transactions (programming needed) on a single DBMS (VM1 MySQL)
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Write a simple DBMS Transaction processing logic using Java program*, and run the program on your local machine (TP). This program will access VM1 MySQL instance (DP) and execute concurrent remote transactions.
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Your program will perform three concurrent execution of transactions written in SQL.
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Your program will also create a simple text file, which will act as a Transaction Log.
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The details of the transactions are given below:
You must follow the sequence. Write your observation on how MySQL handled this particular case
Summer 2021 saurabh.dey@dal.ca
Tab 1: The table shows the sequence of Transactions entering the system for the execution
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T1
T2
T3
Sequence 1
Read customers data
Read customers data
where zip code =
where zip code = “01151”
“01151”
Sequence 2
Update retrieved
Read customers data
customers’ city to
where zip code =
“T1 City”
“01151”
Sequence 3
Update retrieved
Update retrieved
customers’ city to
customers’ city to
“T2 City”
“T3 City”
Sequence 4
Commit
Commit
Sequence 5
Commit
Note: If you do not have “01151” in your dataset, you can randomly select any fixed zip code for all Transactions {T1, T2, T3}
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Modify your program and add one or two new method(s) to create exclusive locks for the data. A transaction must obtain a lock based on the sequence of arrival (Tab 1), and must release after operation.
* You can only use standard libraries.
Problem #2 – Task 2 – Submission Requirements:
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Upload your program code before adding the Locking logic and after the modification with the locking logic to gitlab (https://git.cs.dal.ca).
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Provide screenshots of your concurrent transaction testing with locking and without locking logic
Assignment Submission Instructions:
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Two PDF files – Problem #1, Problem 2 (Task 1)
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Two SQL Dump Files related to Problem 2 (Task 1) – files with .SQL extension
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Program code (before and after modification) for Problem #2 (Task 2) should be in gitlab.
Must be added to a single .zip file before uploading to Brightspace. Do not use any other compression format. rename the .zip file as
Your_FirstNameB00xxxxx.zip
Summer 2021 saurabh.dey@dal.ca