CS143 Project 1 Due: Oct 24 th, 11:59 PM All the materials will be posted in courseweb.

Before we start Two things to do: Find your partner At most 2 students Send team information (you and your partner's name, UID, , expected password for your MySQL account) to one of TAs by Oct 12 th Note: This team is for your project, NOT homework. You need to finish your homework individually. Get familiar with Linux and MySQL

Linux A Unix-like, open source operating system All the projects will be done on the SEASNET linux server. lnxsrv03.seas.ucla.edu How to access the server? If you are using SEASNET machine, all SEASNET machines already have a secure shell client installed, so you simply need to run the client. If you need to access from a personal machine that does not have a secure shell client, you can download a windows secure shell client exe html exe html Or Putty Mac OS X or Unix machines have a secure shell client preinstalled. Simply type "ssh -l lnxsrv03.seas.ucla.edu" within your command line interface

Linux Account for Linux Server Apply SEASNET account if you don’t have one Frequently used Linux command: Try it!

MySQL Already installed on lnxsrv03 server Username & password will be assigned after you submit your team request. MySQL document: resources/articles/mysql_intro.htmlhttp://dev.mysql.com/tech- resources/articles/mysql_intro.html

Project 1 Step 1: Loading the data Step 2: Running easy queries Step 3: Applying some constraints Step 4: Join operation Step 5: A more complicated query Step 6: Putting all together

Step 1: Loading the data There are 5 data files located at /u/cs/class/cs143/cs143ta/proj1/data/ Author.csv, Coauthored.csv, Authored.csv, Paper.csv, Cites.csv Also available at the courseweb Task: Load these 5 data files to MySQL using the “load data” command Before Loading, you should: 1. Log in MySQL 2. Use your own database 3. Create 5 tables: Author, Coauthored, Authored, Paper, Cites

Step 1: Loading the data Table Author: ID (INTEGER) author_name (VARCHAR) first_name (VARCHAR) last_name (VARCHAR) preferred_name(VARCHAR ) Table CoAuthored: ID (INTEGER) author1ID (INTEGER) author2ID (INTEGER) paper_ID (INTEGER) Table Cites: ID (INTEGER) paper1ID (INTEGER) paper2ID (INTEGER) is_self_citation (INTEGER) Table Authored: ID (INTEGER) AuthorID (INTEGER) paperID (INTEGER) (VARCHAR) rank_in_author_list (INTEGER) original_name_str (VARCHAR) _domain (VARCHAR) _country (VARCHAR) affiliation_str (VARCHAR) affil (VARCHAR) Table Paper: ID (INTEGER) paper_id (INTEGER) title_str (VARCHAR) authors_str (VARCHAR) area (VARCHAR) num_abstract_wds (INTEGER) num_authors (INTEGER) num_kb (INTEGER) num_pages (INTEGER) num_revisions (INTEGER) num_title_wds (INTEGER) comments_str (VARCHAR) submit_date (DATE) submitter_ (VARCHAR) submitter_name (VARCHAR)

Step 2: Running some easy queries Write queries that return the answers to these questions: 1)“Give me the author_name of all the Authors with first_name ‘Kevin’.” 2)“Return author_name and preferred_name of all the Authors who have different author_name and preferred_name.” Sort your results first by author_name then by preferred_name.

Step 3: Applying some constraints Add a unique key constraint to the CoAuthored table in which the combination of (author1ID, author2ID, paper_ID) should be unique. Add foreign key constraints for author1ID and author2ID. More details in project description.

Step 4: Join operation Write queries that return the answers to these questions: 1)“Return the author_name of all co-authors of the author with ID ‘42673’.” 2)“Return the author_name of all authors who have more than 10 co-authors.”

Step 5: A more complicated query Write one query that returns the answer to following question: “Give me the author_name of all the authors with the number of papers they co-authored in, in the decreasing order of the number of paper.”

Step 6: Putting all together Create a script named P1 that shows every step in this part of the project. You can use the ‘--' tag to make comments within your SQL script. Make sure you give adequate comments documenting each part of each step. Execute the script and save all outputs in a file call P1_Output. Add one README file, which includes you and your partner's name, UID, , and any other information you think is useful. Make a zip file and submit through courseweb.