Spring Semester 2004

You are interested in organizing a chess tournament. This is a big money opportunity so if you do it right you can retire a wealthy person. You're also in for the art of it, so you decide to make it a memorable event by inviting big names, and scheduling the events across the nation, in its finest venues, biggest halls, most exquisite establishments.

Here's the kind of data you will have to store:

Round one:

Jordan – Barkley 1 - 0 (Soldier Field)

Miller – Bird 0 - 1 (Madison Square Garden)

Kukoc – Duncan ½ - ½ (Wrigley Field)

Statistics (and general information) related to round one:

• Soldier Field’s capacity is: 2,800 seats. The game between Jordan and Barkley was watched By 100 students from IU Bloomington and 120 from the University of Illinois. The price of the ticket was $5.50 and the cost of renting Soldier Field per game is $800.
• Madison Square Garden’s capacity is: 4,000 seats. It rents for $1,200 per game. For the Miller vs. Bird game, the price of the ticket was $8.00 and in audience were 140 students from the University of Illinois and 60 from Purdue University. (Purdue is a little known University in West Lafayette, IN).
• Wrigley Field tickets were $4.25 for the Kukoc – Duncan game. The lease was $800.00 and capacity is 1,200. There were 20 students from the University of Minnesota and 220 from the University of Michigan.

Duncan – Barkley ½ - ½ (Woodburn Hall)

Kukoc – Bird 0-1 (Staples Center)

Miller – Jordan ½ - ½ (RCA Dome)

• Woodburn Hall has a capacity of 2,000 and for the Duncan – Barkley game 80 tickets have been sold to the University of Minnesota and 300 to the University of Michigan. Ticket price at this game was $6.50 and the rent is $600.00 per game.
• The Staples Center rents 3,200 seats for $500.00 per game and the tickets at the Kukoc Bird game were $5.50 each. University of Iowa was the only one to buy tickets to this game, 180 of them.
• The RCA Dome has 1,800 seats and rents for $230.00. Tickets at the Miller-Jordan game were $5.75 each. Purdue bought 120, and IU bought 210.

Bird – Jordan 1- 0 (Rawles Arena)

Kukoc – Barkley 1-0 (Soldier Field)

Duncan – Miller ½ - ½ (Madison Square Garden)

• Rawles Arena rents for $740.00 and has a capacity of 3,400. 150 tickets have been sold to IU Bloomington and 200 to Iowa. Tickets were $7.35 at the Bird-Jordan game.
• 180 tickets ($8.00 apiece) have been sold to the University of Illinois for the Kukoc – Barkley game.
• Tickets at the Duncan – Miller game were $9.99 each and were sold as follows: 120 to the University of Minnesota and 40 to the University of Illinois.

Round four:

Miller – Barkley ½ - ½ (Wrigley Field)

Duncan – Bird 0-1 (Woodburn Hall)

Jordan – Kukoc 1-0 (Staples Center)

• The ticket at the Miller – Barkley match was $9.99 and Purdue bought 200 tickets.
• The ticket at the Duncan – Bird match was $8.50 (120 – Iowa, and 80 – Purdue).
• Jordan – Kukoc sold tickets worth $12.00 each (60 went to IU, 60 to the University of Minnesota, and 240 to the University of Michigan).

You need to design a database to store this data in it.

Here's a hint on how you might do it:

You need to store addresses for the players, venues, and customers, as well. Example:

username	first name	last name	street address	city	state rate per match
cbarkley	Charles	Barkley	Sir Charles Avenue	Phoenix	AZ	$450.00
lbird	Larry	Bird	Freedom Lick Rd.	Naples	FL	$350.00
mjordan	Michael	Jordan	Jordan Air Way	Chicago	IL	$500.00
rmiller	Reggie	Miller	Miller Time Road	Indianapolis	IN	$150.00
tduncan	Tim	Duncan	Duncan at the Tim	Houston	TX	$210.00
tkukoc	Toni	Kukoc	Petar Zrinski Street	New Zagreb	PA	$50.00

customer id	logo (picture)	address	city	state
Illinois				IL
Iowa				IO
IU Bloomington				IN
Michigan				MI
Purdue University				IN
Stanford University				CA
U of Minnesota				MN

location	address	city	state	leasing rate	capacity
Madison Square Garden	Garden Center at the City	New York	NY	$1,200.00	4,000
Rawles Arena	Math Magic Alley	Las Vegas	NV	$740.00	3,400
RCA Dome	Hoosier Center Avenue	Indianapolis	IN	$230.00	1,800
Soldier Field	One Soldier Field Avenue	Chicago	IL	$800.00	2,800
Staples Center	One Big Office Supplies Ave.	Los Angeles	LA	$500.00	3,200
Woodburn Hall	Woodburn Avenue	Atlanta	GA	$600.00	2,000
Wrigley Field	Wrigley Shore Drive	Chicago	IL	$800.00	1,200

(But since most are provided you just need to

1. check them and then
2. reformulate them,
3. explaining how the calculation goes,
4. in English).

1. List all the players and their hometowns and rates.

select username, 
       [first name], 
       [last name], 
       city, 
       state, 
       [player rate per match]
from players;

2. List all the locations available for all events with the leasing rate.

List locations even if no games are scheduled at that location yet.

select location, 
       [leasing rate]
from venues

3. List all the players that charge more than $250 per match.

select username, [player rate per match] 
from players
where [player rate per match] > 250

4. List all the matches whose ticket prices are above $7.00

select [match id]
from matches
where [ticket price] > 7

5. List all the matches with number of tickets sold (per match).

select [match id], sum([how many tickets])
from enrollment
group by [match id]

6. List the most expensive player(s)?

select username
from players 
where [player rate per match] = (select max([player rate per match]) from players)

7. What's the venue with the smallest capacity?

select location 
from venues 
where capacity = (select min(capacity) from venues);

8. List all the matches, number of tickets sold, and the capacity of the venue for each game.

select enrollment.[match id], sum([how many tickets]) as sold, capacity
from venues, matches, enrollment
where enrollment.[match id] = matches.[match id] and matches.[venue] = venues.[location]
group by enrollment.[match id], capacity
order by sum([how many tickets]) desc;

9. List all the matches and the percentage of seats they sold. What's the match that had the least percent of seats sold?

SELECT matches.[match id], 
       SUM([how many tickets]) / capacity AS percentage
FROM enrollment, matches, venues
WHERE enrollment.[match id] = matches.[match id] 
      AND venues.location = matches.venue
GROUP BY matches.[match id], capacity
HAVING SUM([how many tickets]) / capacity  = ( SELECT MAX (percentage)
                                               FROM ( SELECT matches.[match id], 
                                                             SUM([how many tickets]) / capacity AS percentage
                                                      FROM enrollment, matches, venues 
                                                      WHERE enrollment.[match id] = matches.[match id] 
                                                            AND venues.location = matches.venue
                                                      GROUP BY matches.[match id], capacity
                                                    )
                                             );

10. What is the total cost of the players (per round)?

SELECT sum( [player rate per match] ), [date/round]
FROM players, participation, matches
WHERE players.username = participation.username and participation.[match id] = matches.[match id]
GROUP BY [date/round];

11. What's the average cost of player (per match)? (Does it matter that the roster could be bigger than the invited players?)

SELECT avg([player rate per match])
FROM players, participation
WHERE players.username = participation.username;

12. Which players cost above average? (Take the average from the prices listed in players).

SELECT username
FROM players
WHERE [player rate per match] > (select avg([player rate per match]) from players);

13. List the number of players that cost above average.

SELECT COUNT(*)
FROM ( SELECT username
       FROM players
       WHERE [player rate per match] > ( SELECT AVG([player rate per match]) 
                                         FROM players
                                       )
     )

14. List all universities and the number of games they bought tickets to.

select university, count([match id])
from enrollment 
group by university

That's definitely an interesting question (with two possible answers).

15. List the games attended by Indiana University students.

SELECT [match id]
FROM enrollment
WHERE university = "IU Bloomington";

16. List the average attendance of Indiana Univ. students per game.

SELECT university, avg([how many tickets])
FROM enrollment
GROUP BY university
HAVING university="IU Bloomington";

17. List the total amount of money IU students paid for tickets.

SELECT sum([how many tickets] * [ticket price]), university
FROM enrollment, matches
WHERE enrollment.[match id] = matches.[match id]
GROUP BY university;

18. Calculate the entire amount spent on players up to (and including) round four (not five).

SELECT sum([player rate per match]), [date/round]
FROM players, participation, matches
WHERE players.username=participation.username AND participation.[match id]=matches.[match id]
GROUP BY [date/round];

19. Calculate the entire amount collected on tickets sold to matches up to (and including) round four.

SELECT sum([ticket price]*[how many tickets]), [date/round]
FROM matches, enrollment
WHERE enrollment.[match id]=matches.[match id]
GROUP BY [date/round];

20. Calculate the total amount spent on leasing the rooms.

SELECT sum([leasing rate])
FROM matches, venues
WHERE matches.[venue] = venues.[location];

21. Calculate the net profit up to (and including) round four.

(Difference between income from tickets and the sum of expenses with players and rent).

It's better to calculate (or, take a look at) the next one first.

22-23. Calculate the profit per match and round (two queries).

SELECT sum([per match]) AS total_revenue

FROM (
 
      SELECT result.[match id], 
             [tickets]-sum([player rate per match])-[leasing rate] as [per match]
      FROM ( 
             
             SELECT participation.[match id], 
                    players.[player rate per match], 
                    sum([ticket price]*[how many tickets]) as tickets,
                    venues.location,
                    venues.[leasing rate], 
                    matches.[date/round]
             FROM venues 
                  INNER JOIN (spectators 
                              INNER JOIN (players 
                                          INNER JOIN ( (matches 
                                                        INNER JOIN enrollment 
                                                        ON matches.[match id] = enrollment.[match id])
                                                        
                                                        INNER JOIN participation 
                                                        ON matches.[match id] = participation.[match id]) 
                                                                                              
                                          ON players.username = participation.username) 
                                                                 
                              ON spectators.[customer id] = enrollment.university) 
                          
                   ON venues.location = matches.venue
                                
             GROUP BY participation.[match id], 
                      players.[player rate per match], 
                      venues.location, 
                      venues.[leasing rate], 
                      matches.[date/round]
                  
           )  AS result
             
      GROUP BY [result].[match id], 
               result.tickets, 
               result.[leasing rate]

). AS another_result; 

24-25. Calculate the average profit per match and round (two queries).

26-27. List the matches and rounds with an above average profit (two queries).

28. How many students saw Bird playing?

(How many tickets were sold for games he was in?)

29. Who was the most watched player?

30. How much money did each player bring?

Sort the result of this query descending by amount and ascending by player's name (alphabetically, that is).

31. List the standings after the fourth round.

select username, sum(points)
from participation
group by username 
order by sum(points) desc

select username, sum(points) 
from (
  select username, points, matches.[match id], [date/round]
  from matches, participation  
  where matches.[match id] = participation.[match id]
) 
where [date/round] in ('round one', 'round two', 'round three', 'round four') 
group by username 
order by sum(points) desc

32. Which matches only had IN students in the audience? (Purdue is in Indiana as is IU).

select distinct [match id]
from enrollment e 
where 'in' = ALL (select distinct state from spectators, enrollment 
                   where spectators.[customer id] = enrollment.university 
                     and enrollment.[match id] = e.[match id])

33. Which University did not purchase tickets to any game?

select [customer id]
from spectators s
where not exists (select university from enrollment e where e.university = s.[customer id])

34. Which University did not purchase tickets to the Bird-Jordan game?

select [customer id]
from spectators s
where not exists (select university 
                  from enrollment e 
                  where e.[match id] = 'bird-jordan' 
                    and e.university = s.[customer id])

35. List the Universities sorted by the number of games they purchased tickets to.

select count([match id]), university
from enrollment
group by university