COP4710 Spring 2020 Project 2 - NBA Database
Due: 11:30pm, March 5, 2020 (Thursday)
I. Introduction
In this project, you are expected to write some SQL queries and execute them
in a database server we built for you. The schemas of the tables will be given
and such tables are loaded with real NBA statistics data. Specifically, the
database contains the following six tables:
1. coaches_season, each tuple of which describes the performance of one
coach in one season;
2. teams, each tuple of which gives the basic information of a team;
3. players, each tuple of which gives the basic information of one player;
4. player_rs, each tuple of which gives the detailed performance of one
player in one regular season;
5. player_rs_career, each tuple of which gives the detailed regular-season
performance of one player in his career;
6. draft, each tuple of which shows the information of an NBA draft.
II. Getting started
Your job should be done in the machine named element.csee.usf.edu (not the
same one you used for project 1). The DBMS used in this project is
PostgreSQL (www.postgresql.org). After remotely logging into element.csee
by ssh with your NetID and password, you can connect to the database using
the following command:
/usr/local/pgsql/bin/psql NBA
and you should see a prompt like this:
NBA=>
and now you are ready to type in any SQL statements you want. Try some
simple things like "select * from teams;" to make sure you are really
connected. Query against all the tables to get familar with the schema of each
COP4710作业代做、NBA Database作业代写
table. Note that there has to be a semicolon after each SQL statement you
write, otherwise the system will not start processing your query.
III. Queries to write
Your task in this project is to write the following queries in SQL and make sure
they run in the PostgreSQL database. If you make any assumptions, clearly
state them as comments in your submitted file.
1. Find all the coaches who have coached exactly TWO teams. List their first
names followed by their last names;
2. Find all the players who played in a Boston team or a Denver team. List
their first names only.
3. Find those who happened to be a coach and a player in the same team in
the same season. List their first names, last names, the team where this
happened, and the year(s) when this happened.
4. Find the average height (in centimeters) of each team coached by Phil
Jackson in each season. Print the team name, season and the average height
value (in centimeters), and sort the results by the average height.
5. Find the coach(es) (first name and last name) who have coached the
largest number of players in year 2003.
6. Find the coaches who coached in ALL leagues. List their first names
followed by their last names.
7. Find those who happened to be a coach and a player in the same season,
but in different teams. List their first names, last names, the season and the
teams this happened.
8. Find the players who have scored more points than Michael Jordan did.
Print out the first name, last name, and total number of points they scored.
9. Find the most successful coach in regular seasons in history. The level of
success of a coach is measured as season_win /(season_win + season_loss).
Note that you have to count in all seasons a coach attended to calculate this
value.
10. List the name(s) of school(s) that sent the second largest number of
drafts to NBA. List the name of each school and the number of drafts sent.
Note that the data is not perfectly formatted for our use. For that, you have to
try some other techniques that are not a part of the SQL, but are supported by
PsotgreSQL. For example, the ID of the same palyer (e.g., ILKID) can be
shown as all upper case in one table (e.g., players) but in a mixture of upper
and lower cases in another table (e.g., draft). To find more matches, you can
use the 'LOWER' or 'UPPER' function to transform a string to all lower or
upper case and then do the match.
IV. Due date, submission:
Due: 11:30pm, March 5, 2020 (Thursday) via the Canvas assignment link.
When you feel comfortable with your queries, copy and paste them to a text
file named proj2-xxx.sql where xxx is your NetID. Submit this file only! Put all
comments, assumption statements in this file (note that a line that starts with
"--" is regarded as comments and will not be processed by DBMS). The
purpose of having this script file is to run all queries written in the file by typing
one command in psql:
NBA=> \i proj2-xxx.sql
The output of this script can be dumped to a file named "proj2-xxx.out" by
NBA=> \o proj2-xxx.out
You can type ' \o ' to change the output device back to your psql console.
Attention!! You must try the above command to run all your queries as a
whole batch in the submitted file and make sure all queries work in the way
you expected. You will get heavy deductions (up to 30%) if your query only
works when typed into the console one by one!
Acknowledgement
Data used in this project is provided by basketballconference.com.
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来源：https://www.cnblogs.com/welcomeyou/p/12444117.html