Write MySQL query statements for the questions below including the output that proves the accuracy of your solution. Your answers should be stored in a text file that captures your interaction with MySQL.
1. Find the movieID, title, year and DVDPrice of all movies where the DVD-Price is equal to the discountPrice.
2. Find the actorID, lastName, firstName, middleName, and suffix of all actors whose middleName is not NULL.
3. Suppose you remember a movie quote as “Play it again, Sam.” However, when you write a query to find this quote, you get no results. Write a query that will find the text of all movie quotes that begin with the word “Play.”
4. Suppose you remember the role of Joker in one of the Batman movies, but when you write a query to find this role, you get no results. Write a query that will find the roleID and roleName of any role where Joker appears as part of the role name.
5. Find the movieID, title, year, and totalNoms of all movies that were nominated for more than five Awards and were released before 1950.
6. Find the movieID, title, year, and awardsWon of all movies that either won more than five Awards or were released after 1990.
7. Find the movieID, title, year, and discountPrice of all movies with discount prices between $15.00 and $20.00 inclusive.
8. Find the movieID, title, and year of all movies, along with the difference between totalNoms and awardsWon. For the column heading of the calculated column, use “nominated but not won.”
9. Suppose you have a special membership at a store that qualifies you for 10% off all of your purchases, including discount prices. Find the movieID, title, and year of all movies, along with the discount price minus 10% of the discount price. For the column heading of the calculated column, use “my price.”
10. Find the gender and the count (of all rows of that gender) in the Actor table, grouped by gender.
11. Find the totalNoms and the maximum number of awardsWon in the Movie table, grouped by totalNoms and ordered by the maximum number of awardsWon.
12. Find the company, year, and sum of awardsWon for movies, grouped by company and year.
13. Find the actorID, lastName, firstName, middleName,suffix, and birthdate of rows in the Actor table where the gender is F. Order the results by the actor’s date of birth.
14. Find the movieID, title, year, DVDPrice, and half of the DVDPrice (the price for a half-off sale) of movies that have a DVDPrice of at least $20.00.
15. Find the sum of the discount prices of movies made after 1979.
16. Find the awards won and the average discount price of movies made before 1980, grouped by awards won.
17. Find the movieID, title, and year of movies, and the roleID and roleName of roles for the join of the Movie and Role tables where the gender of the role is female.
18. Find the roleID, quoteID, and quoteText in the join between the Quote andRoleQuote tables where the roleID is 00001 or 00003.
19. Find the movie title and the number of roleIDs associated with it. Group the result by movie title, having a count of six or more roles.
20. Find the maximum DVDPrice for a movie with a role played by actorID 00001.
--
-- Data for table `actor`
--
('00001','Hanks','Tom',NULL,NULL,'M','1956-07-
09',NULL),('00002','Paxton','Bill',NULL,NULL,'M','1955-05-
17',NULL),('00003','Bacon','Kevin',NULL,NULL,'M','1958-07-
08',NULL),('00004','Sinise','Gary',NULL,NULL,'M','1955-03-
17',NULL),('00005','Harris','Ed',NULL,NULL,'M','1950-11-
28',NULL),('00006','Quinlan','Kathleen',NULL,NULL,'F','1954-11-
19',NULL),('00007','Bogart','Humphrey',NULL,NULL,'M','1899-01-23','1957-
01-14'),('00008','Bergman','Ingrid',NULL,NULL,'F','1913-08-29','1982-08-
29'),('00009','Henreid','Paul',NULL,NULL,'M','1908-01-10','1992-03-
29'),('00010','Rains','Claude',NULL,NULL,'M','1889-11-10','1967-05-
30'),('00011','Veidt','Conrad',NULL,NULL,'M','1893-01-22','1943-04-
03'),('00012','Greenstreet','Sydney',NULL,NULL,'M','1879-12-27','1954-01-
18'),('00013','Lorre','Peter',NULL,NULL,'M','1904-06-26','1964-03-
23'),('00014','Wilson','Dooley',NULL,NULL,'M','1886-04-03','1953-05-
30'),('00015','Eastwood','Clint',NULL,NULL,'M','1930-05-
31',NULL),('00016','Guardino','Harry',NULL,NULL,'M','1925-12-23','1995-07-
17'),('00017','Santoni','Reni',NULL,NULL,'M','1939-04-
21',NULL),('00018','Cruise','Tom',NULL,NULL,'M','1962-07-
03',NULL),('00019','Nicholson','Jack',NULL,NULL,'M','1937-04-
22',NULL),('00020','Moore','Demi',NULL,NULL,'F','1962-11-
11',NULL),('00021','Sutherland','Kiefer',NULL,NULL,'M','1966-12-
21',NULL),('00022','Pollak','Kevin',NULL,NULL,'M','1958-10-
30',NULL),('00023','Costner','Kevin',NULL,NULL,'M','1955-01-
18',NULL),('00024','Madigan','Amy',NULL,NULL,'F','1950-09-
11',NULL),('00025','Hoffman','Gaby',NULL,NULL,'F','1982-01-
08',NULL),('00026','Liotta','Ray',NULL,NULL,'M','1955-12-
18',NULL),('00027','Goldblum','Jeff',NULL,NULL,'M','1952-10-
22',NULL),('00028','Davis','Geena',NULL,NULL,'F','1957-01-
21',NULL),('00029','Getz','John',NULL,NULL,'M','1947-10-
15',NULL),('00030','Wright','Robin',NULL,NULL,'F','1966-04-
08',NULL),('00031','Williamson','Mykelti',NULL,NULL,'M','1960-04-
04',NULL),('00032','Field','Sally',NULL,NULL,'F','1946-11-
06',NULL),('00033','Humphreys','Michael','Conner',NULL,'M',NULL,NULL),('00
034','Brando','Marlon',NULL,NULL,'M','1924-04-03','2004-07-
01'),('00035','Pacino','Al',NULL,NULL,'M','1940-04-
25',NULL),('00036','Caan','James',NULL,NULL,'M','1939-03-
26',NULL),('00037','Castellano','Richard',NULL,NULL,'M','1933-09-
04','1988-12-10'),('00038','Duvall','Robert',NULL,NULL,'M','1931-01-
05',NULL),('00039','Keaton','Diane',NULL,NULL,'F','1946-01-
05',NULL),('00040','Shire','Talia',NULL,NULL,'F','1946-04-
25',NULL),('00041','Mitchell','Thomas',NULL,NULL,'M','1892-07-11','1962-
12-17'),('00042','O\'Neil','Barbara',NULL,NULL,'F','1909-07-10','1980-09-
03'),('00043','Leigh','Vivien',NULL,NULL,'F','1913-11-05','1967-07-
08'),('00044','McDaniel','Hattie',NULL,NULL,'F','1895-06-10','1952-10-
26'),('00045','McQueen','Butterfly',NULL,NULL,'F','1911-01-08','1995-12-
22'),('00046','Gable','Clark',NULL,NULL,'M','1901-02-01','1960-11-
16'),('00047','Gooding','Cuba',NULL,'jr.','M','1968-01-
02',NULL),('00048','Zellweger','Renee',NULL,NULL,'F','1969-04-
25',NULL),('00049','Preston','Kelly',NULL,NULL,'F','1962-10-
13',NULL),('00050','Hellinger','Mark',NULL,NULL,'M','1903-03-21','1947-12-
21'),('00051','Willis','Bruce',NULL,NULL,'M','1955-03-
19',NULL),('00052','Osment','Haley','Joel',NULL,'M','1988-04-
10',NULL),('00053','Collette','Toni',NULL,NULL,'F','1972-11-
01',NULL),('00054','Williams','Olivia',NULL,NULL,'F','1968-07-
26',NULL),('00055','Locke','Sondra',NULL,NULL,'F','1947-05-
28',NULL),('00056','Schwarzenegger','Arnold',NULL,NULL,'M','1947-07-
30',NULL),('00057','Biehn','Michael',NULL,NULL,'M','1956-07-
31',NULL),('00058','Hamilton','Linda',NULL,NULL,'F','1957-09-
26',NULL),('00059','Furlong','Edward',NULL,NULL,'M','1977-08-
02',NULL),('00060','Patrick','Robert',NULL,NULL,'M','1958-11-
05',NULL),('00061','Garland','Judy',NULL,NULL,'F','1922-06-10','1969-06-
22'),('00062','Morgan','Frank',NULL,NULL,'M','1890-06-01','1949-09-
18'),('00063','Bolger','Ray',NULL,NULL,'M','1904-01-10','1987-01-
15'),('00064','Lahr','Bert',NULL,NULL,'M','1895-08-13','1967-12-
04'),('00065','Haley','Jack',NULL,NULL,'M','1898-08-10','1979-06-
06'),('00066','Burke','Billie',NULL,NULL,'F','1885-08-07','1970-05-
14'),('00067','Hamilton','Margaret',NULL,NULL,'F','1902-12-09','1985-05-
16'),('00068','Blandick','Clara',NULL,NULL,'F','1880-06-04','1962-04-
15'),('00069',NULL,'Terry',NULL,NULL,'M',NULL,NULL),('00070','Hoffman','Du
stin',NULL,NULL,'M','1937-08-
08',NULL),('00071','Lange','Jessica',NULL,NULL,'F','1949-04-
20',NULL),('00072','Garr','Teri',NULL,NULL,'F','1944-12-
11',NULL),('00073','Williams','Robin',NULL,NULL,'M','1952-07-
21',NULL),('00074','Brosnan','Pierce',NULL,NULL,'M','1951-05-
16',NULL),('00075','Fierstein','Harvey',NULL,NULL,'M','1954-06-
06',NULL),('00076','Keaton','Michael',NULL,NULL,'M','1951-09-
09',NULL),('00077','Basinger','Kim',NULL,NULL,'F','1953-12-
08',NULL),('00078','DeVito','Danny',NULL,NULL,'M','1944-11-
17',NULL),('00079','Pfeiffer','Michelle',NULL,NULL,'F','1958-04-
29',NULL),('00080','Kilmer','Val',NULL,NULL,'M','1959-12-
31',NULL),('00081','Jones','Tommy','Lee',NULL,'M','1946-09-
15',NULL),('00082','Carrey','Jim',NULL,NULL,'M','1962-01-
17',NULL),('00083','Kidman','Nicole',NULL,NULL,'F','1967-06-
20',NULL),('00084','O\'Donnell','Chris',NULL,NULL,'M','1970-06-
26',NULL),('00085','Barrymore','Drew',NULL,NULL,'F','1975-02-
22',NULL),('00086','Mazar','Debi',NULL,NULL,'F','1964-08-
15',NULL),('00087','Clooney','George',NULL,NULL,'M','1961-05-
06',NULL),('00088','Thurman','Uma',NULL,NULL,'F','1970-04-
29',NULL),('00089','Silverstone','Alicia',NULL,NULL,'F','1976-10-
04',NULL),('00090','Macpherson','Elle',NULL,NULL,'F','1963-03-
29',NULL),('00091','Bale','Christian',NULL,NULL,'M','1974-01-
30',NULL),('00092','Caine','Michael',NULL,NULL,'M','1933-03-
14',NULL),('00093','Neeson','Liam',NULL,NULL,'M','1952-06-
07',NULL),('00094','Holmes','Katie',NULL,NULL,'F','1978-12-
18',NULL),('00095','Walshe','Pat',NULL,NULL,'M','1900-07-26','1991-12-
11'),('00096','Grapewin','Charley',NULL,NULL,'M','1869-12-20','1956-02-
02'),('00097','Hulce','Tom',NULL,NULL,'M','1953-12-
06',NULL),('00098','Abraham','F.','Murray',NULL,'M','1940-10-
24',NULL),('00099','Berridge','Elizabeth',NULL,NULL,'F','1962-05-
02',NULL),('00100','Jones','Jeffrey',NULL,NULL,'M','1947-09-28',NULL);
--
-- Data for table `movie`
--
('001','Apollo 13',1995,'Imagine Entertainment and Universal
Pictures',9,2,12.99,9.99),('002','Casablanca',1943,'Warner
Brothers',8,3,19.99,14.99),('003','Dirty Harry',1971,'The Malpaso
Company',0,0,16.99,16.99),('004','Few Good Men, A',1992,'Castle Rock
Entertainment',4,0,14.99,9.99),('005','Field of Dreams',1989,'Gordon
Company',3,0,12.99,9.99),('006','Fly, The',1986,'Brooksfilms
Limited',1,1,19.99,14.99),('007','Forrest Gump',1994,'Steve Tisch/Wendy
Finerman',13,6,14.99,9.99),('008','Godfather, The',1972,'Albert S.
Ruddy',10,3,14.99,9.99),('009','Gone with the Wind',1939,'Selznick
International Pictures',15,10,19.99,17.99),('010','Jerry
Maguire',1996,'TriStar Pictures',5,1,14.99,9.99),('011','Naked City,
The',1948,'Mark Hellinger',3,2,29.99,29.99),('012','Sixth Sense,
The',1999,'Kennedy/Marshall/Barry Mendel',6,0,14.99,9.99),('013','Sudden
Impact',1983,'The Malpaso Company',0,0,9.99,9.99),('014','Terminator,
The',1984,'Hemdale Film',0,0,14.99,9.99),('015','Terminator 2: Judgment
Day',1991,'CarolCo Pictures',6,4,9.99,7.99),('016','Wizard of Oz,
The',1939,'Metro-Goldwyn-
Mayer',5,2,22.99,22.99),('017','Tootsie',1982,'Mirage
Punch',10,1,14.99,14.99),('018','Mrs. Doubtfire',1993,'20th Century
Fox',1,1,14.99,14.99),('019','Batman',1989,'Warner
Brothers',1,1,26.99,24.99),('020','Batman Returns',1992,'Warner
Brothers',2,0,26.99,24.99),('021','Batman Forever',1995,'Warner
Brothers',3,0,26.99,24.99),('022','Batman & Robin',1997,'Warner
Brothers',0,0,19.99,15.99),('023','Batman Begins',2005,'Warner
Brothers',1,0,14.99,9.99),('024','Amadeus',1984,'Saul Zaentz
Company',11,8,19.99,14.99);
--
-- Data for table `quote`
--
('0001','Houston, we have a problem.'),('0002','Play it, Sam. Play \"As
Time Goes By.\"'),('0003','Of all the gin joints in all the towns in all
the world, she walks into mine.'),('0004','Ilsa, I\'m no good at being
noble, but it doesn\'t take much to see that the problems of three little
people don\'t amount to a hill of beans in this crazy
world.'),('0005','We\'ll always have Paris.'),('0006','Here\'s looking at
you, kid.'),('0007','Round up the usual suspects.'),('0008','Louis, I
think this is the beginning of a beautiful friendship.'),('0009','You\'ve
got to ask yourself one question: \"Do I feel lucky?\" Well, do ya,
punk?'),('0010','You can\'t handle the truth!'),('0011','If you build it,
he will come.'),('0012','Be afraid. Be very afraid.'),('0013','Mama says,
\"Stupid is as stupid does.\"'),('0014','My mama always said, \"Life is
like a box of chocolates. You never know what you\'re gonna
get.\"'),('0015','I\'m going to make him an offer he can\'t
refuse.'),('0016','Leave the gun. Take the cannolis.'),('0017','It\'s a
Sicilian message. It means Luca Brasi sleeps with the
fishes.'),('0018','Fiddle-dee-dee.'),('0019','I don\'t know nothin\'
\'bout birthin\' babies.'),('0020','As God is my witness, I\'ll never be
hungry again.'),('0021','After all, tomorrow is another
day.'),('0022','Frankly, my dear, I don\'t give a damn.'),('0023','Show me
the money!'),('0024','You complete me.'),('0025','You had me at
\"hello.\"'),('0026','There are eight million stories in the naked city.
This has been one of them.'),('0027','I see dead people.'),('0028','Go
ahead, make my day.'),('0029','I\'ll be back.'),('0030','Hasta la vista,
baby.'),('0031','Toto, I have a feeling we\'re not in Kansas
anymore.'),('0032','I\'ll get you, my pretty, and your little dog,
too!'),('0033','Lions and tigers and bears, oh my!'),('0034','I\'m
melting! Melting! Oh, what a world! What a world!'),('0035','Pay no
attention to that man behind the curtain!'),('0036','There\'s no place
like home.'),('0037','Have you ever danced with the Devil in the pale
moonlight?'),('0038','You cursed brat, look what you\'ve
done!'),('0039','Who would have thought a good little girl like you could
destroy my beautiful wickedness?'),('0040','There are in fact only so many
notes the ear can hear in the course of an evening.'),('0041','There are
simply too many notes.'),('0042','I speak for all mediocrities in the
world. I am their champion. I am their patron
saint.'),('0043','Mediocrities everywhere. I absolve you. I absolve you.
I absolve you. I absolve you. I absolve you all.');
--
-- Data for table `role`
--
('00001','Dorothy Gale','F','00061','016'),('00002','The Wizard of
Oz','M','00062','016'),('00003','The
Scarecrow','M','00063','016'),('00004','The Cowardly
Lion','M','00064','016'),('00005','The Tin
Man','M','00065','016'),('00006','Glinda, the Good Witch of the
North','F','00066','016'),('00007','The Wicked Witch of the
West','F','00067','016'),('00008','Auntie
Em','F','00068','016'),('00009','Toto','M','00069','016'),('00010','Gerald
O\'Hara','M','00041','009'),('00011','Ellen
O\'Hara','F','00042','009'),('00012','Scarlett
O\'Hara','F','00043','009'),('00013','Mammy','F','00044','009'),('00014','
Prissy','F','00045','009'),('00015','Rhett
Butler','M','00046','009'),('00016','Rick
Blaine','M','00007','002'),('00017','Ilsa Lund
(Laszlo)','F','00008','002'),('00018','Victor
Laszlo','M','00009','002'),('00019','Captain
Renault','M','00010','002'),('00020','Major
Strasser','M','00011','002'),('00021','Signor
Ferrari','M','00012','002'),('00022','Ugarte','M','00013','002'),('00023',
'Sam','M','00014','002'),('00024','Narrator
(voice)','M','00050','011'),('00025','Inspector Harry
Callahan','M','00015','003'),('00026','Lieutenant Al
Bressler','M','00016','003'),('00027','Inspector Chico
Gonzalez','M','00017','003'),('00028','Don Vito
Corleone','M','00034','008'),('00029','Michael
Corleone','M','00035','008'),('00030','Santino \"Sonny\"
Corleone','M','00036','008'),('00031','Peter
Clemenza','M','00037','008'),('00032','Tom
Hagen','M','00038','008'),('00033','Kay
Adams','F','00039','008'),('00034','Connie Corleone
Rizzi','F','00040','008'),('00035','Inspector Harry
Callahan','M','00015','013'),('00036','Jennifer
Spencer','F','00055','013'),('00037','The
Terminator','M','00056','014'),('00038','Kyle
Reese','M','00057','014'),('00039','Sarah
Connor','F','00058','014'),('00040','Seth
Brundle','M','00027','006'),('00041','Veronica
Quaife','F','00028','006'),('00042','Stathis
Borans','M','00029','006'),('00043','Ray
Kinsella','M','00023','005'),('00044','Annie
Kinsella','F','00024','005'),('00045','Karin
Kinsella','F','00025','005'),('00046','Shoeless Joe
Jackson','M','00026','005'),('00047','The
Terminator','M','00056','015'),('00048','Sarah
Connor','F','00058','015'),('00049','John
Connor','M','00059','015'),('00050','T-
1000',NULL,'00060','015'),('00051','Lieutenant Daniel
Kaffee','M','00018','004'),('00052','Colonel Nathan R.
Jessep','M','00019','004'),('00053','Lieutenant Commander JoAnne
Galloway','F','00020','004'),('00054','Captain Jack
Ross','M','00003','004'),('00055','Lieutenant Jonathan
Kendrick','M','00021','004'),('00056','Lieutenant Sam
Weinberg','M','00022','004'),('00057','Forrest
Gump','M','00001','007'),('00058','Jenny
Curran','F','00030','007'),('00059','Lieutenant Dan
Taylor','M','00004','007'),('00060','Private Benjamin Buford \"Bubba\"
Blue','M','00031','007'),('00061','Mrs.
Gump','F','00032','007'),('00062','Young Forrest
Gump','M','00033','007'),('00063','Jim
Lovell','M','00001','001'),('00064','Fred
Haise','M','00002','001'),('00065','Jack
Swigert','M','00003','001'),('00066','Ken
Mattingly','M','00004','001'),('00067','Gene
Kranz','M','00005','001'),('00068','Marilyn
Lovell','F','00006','001'),('00069','Jerry
Maguire','M','00018','010'),('00070','Rod
Tidwell','M','00047','010'),('00071','Dorothy
Boyd','F','00048','010'),('00072','Avery
Bishop','F','00049','010'),('00073','Dr. Malcolm
Crowe','M','00051','012'),('00074','Cole
Sear','M','00052','012'),('00075','Lynn
Sear','F','00053','012'),('00076','Anna
Crowe','F','00054','012'),('00077','Michael
Dorsey','M','00070','017'),('00078','Dorothy Michaels
(Tootsie)','F','00070','017'),('00079','Julie
Nichols','F','00071','017'),('00080','Sandy
Lester','F','00072','017'),('00081','Daniel
Hillard','M','00073','018'),('00082','Mrs.
Doubtfire','F','00073','018'),('00083','Miranda
Hillard','F','00032','018'),('00084','Stuart \'Stu\'
Dunmeyer','M','00074','018'),('00085','Uncle Frank
Hillard','M','00075','018'),('00086','Professor
Marvel','M','00062','016'),('00087','The
Gatekeeper','M','00062','016'),('00088','The Carriage
Driver','M','00062','016'),('00089','The Guard Who
Cries','M','00062','016'),('00090','Hunk','M','00063','016'),('00091','Zek
e','M','00064','016'),('00092','Hickory','M','00065','016'),('00093','Elmi
ra Gulch','F','00067','016'),('00094','The Wicked Witch of the
East','F','00067','016'),('00095','Batman','M','00076','019'),('00096','Br
uce Wayne','M','00076','019'),('00097','The
Joker','M','00019','019'),('00098','Jack
Napier','M','00019','019'),('00099','Vicki
Hale','F','00077','019'),('00100','Batman','M','00076','020'),('00101','Br
uce Wayne','M','00076','020'),('00102','The
Penguin','M','00078','020'),('00103','Oswald
Cobblepot','M','00078','020'),('00104','Catwoman','F','00079','020'),('001
05','Selina
Kyle','F','00079','020'),('00106','Batman','M','00080','021'),('00107','Br
uce Wayne','M','00080','021'),('00108','Two-
Face','M','00081','021'),('00109','Harvey
Dent','M','00081','021'),('00110','The
Riddler','M','00082','021'),('00111','Dr. Edward
Nygma','M','00082','021'),('00112','Dr. Chase
Meridian','F','00083','021'),('00113','Robin','M','00084','021'),('00114',
'Dick
Grayson','M','00084','021'),('00115','Sugar','F','00085','021'),('00116','
Spice','F','00086','021'),('00117','Mr.
Freeze','M','00056','022'),('00118','Dr. Victor
Fries','M','00056','022'),('00119','Batman','M','00087','022'),('00120','B
ruce
Wayne','M','00087','022'),('00121','Robin','M','00084','022'),('00122','Di
ck Grayson','M','00084','022'),('00123','Poison
Ivy','F','00088','022'),('00124','Dr. Pamela
Isley','F','00088','022'),('00125','Batgirl','F','00089','022'),('00126','
Barbara Wilson','F','00089','022'),('00127','Julie
Madison','F','00090','022'),('00128','Batman','M','00091','023'),('00129',
'Bruce
Wayne','M','00091','023'),('00130','Alfred','M','00092','023'),('00131','H
enri Ducard','M','00093','023'),('00132','Rachel
Dawes','F','00094','023'),('00133','Nikko, the Head Flying
Monkey','M','00095','016'),('00134','Uncle
Henry','M','00096','016'),('00135','Wolfgang Amadeus
Mozart','M','00097','024'),('00136','Antonio
Scalieri','M','00098','024'),('00137','Constanze
Mozart','F','00099','024'),('00138','Emperor Joseph
II','M','00100','024');
--
-- Data for table `rolequote`
--
('00001','0031'),('00001','0033'),('00001','0036'),('00002','0035'),('0000
3','0033'),('00005','0033'),('00007','0032'),('00007','0034'),('00007','00
38'),('00007','0039'),('00012','0018'),('00012','0020'),('00012','0021'),(
'00014','0019'),('00015','0022'),('00016','0003'),('00016','0004'),('00016
','0005'),('00016','0006'),('00016','0008'),('00017','0002'),('00019','000
7'),('00024','0026'),('00025','0009'),('00028','0015'),('00031','0016'),('
00031','0017'),('00035','0028'),('00037','0029'),('00041','0012'),('00046'
,'0011'),('00047','0030'),('00052','0010'),('00057','0014'),('00062','0013
'),('00063','0001'),('00069','0024'),('00070','0023'),('00071','0025'),('0
0074','0027'),('00097','0037'),('00136','0042'),('00136','0043'),('00138',
'0040'),('00138','0041');
1. Find the movieID, title, year and DVDPrice of all movies where the DVD-Price is equal to the discountPrice.
SELECT movieID,title,year,DVDPrice FROM movie WHERE DVDPrice=discountPrice;
2. Find the actorID, lastName, firstName, middleName, and suffix of all actors whose middleName is not NULL.
SELECT actorID,lastName,firstName,middleName,suffix FROM Actor WHERE middleName IS NOT NULL
3. Suppose you remember a movie quote as “Play it again, Sam.” However, when you write a query to find this quote, you get no results. Write a query that will find the text of all movie quotes that begin with the word “Play.”
SELECT quoteText FROM Quote WHERE quoteText LIKE 'play%';
4. Suppose you remember the role of Joker in one of the Batman movies, but when you write a query to find this role, you get no results. Write a query that will find the roleID and roleName of any role where Joker appears as part of the role name.
SELECT roleID,roleName FROM Role WHERE roleName LIKE '%joker%';
5. Find the movieID, title, year, and totalNoms of all movies that were nominated for more than five Awards and were released before 1950.
SELECT movieID,title,year,totalNoms FROM Movie WHERE totalNoms>5 AND year<1950;
6. Find the movieID, title, year, and awardsWon of all movies that either won more than five Awards or were released after 1990.
SELECT movieID,title,year,awardsWon FROM Movie WHERE awardsWon>5 OR year>1990;
7. Find the movieID, title, year, and discountPrice of all movies with discount prices between $15.00 and $20.00 inclusive.
SELECT movieID,title,year,discountPrice FROM Movie WHERE discountPrice BETWEEN 15 AND 20;
8. Find the movieID, title, and year of all movies, along with the difference between totalNoms and awardsWon. For the column heading of the calculated column, use “nominated but not won.”
SELECT movieID,title,year,(totalNoms-awardsWon) AS "nominated But Not Won" from Movie;
9. Suppose you have a special membership at a store that qualifies you for 10% off all of your purchases, including discount prices. Find the movieID, title, and year of all movies, along with the discount price minus 10% of the discount price. For the column heading of the calculated column, use “my price.”
SELECT movieID,title,year,0.9*discountPrice AS "my price" FROM Movie;
10. Find the gender and the count (of all rows of that gender) in the Actor table, grouped by gender
SELECT gender,COUNT(*) FROM Actor GROUPBY gender;
11. Find the totalNoms and the maximum number of awardsWon in the Movie table, grouped by totalNoms and ordered by the maximum number of awardsWon.
SELECT totalNoms,MAX(awardsWon) FROM Movie GROUPBY totalNoms ORDERBY awardsWon DESC;
12. Find the company, year, and sum of awardsWon for movies, grouped by company and year.
SELECT company,year,SUM(awardsWon) FROM Movie GROUPBY company,year;
13. Find the actorID, lastName, firstName, middleName,suffix, and birthdate of rows in the Actor table where the gender is F. Order the results by the actor’s date of birth.
SELECT actorID,lastName,firstName,middleName,suffix,birthdate FROM Actor WHERE gender='F' ORDERBY birthdate;
14. Find the movieID, title, year, DVDPrice, and half of the DVDPrice (the price for a half-off sale) of movies that have a DVDPrice of at least $20.00.
SELECT movieID,title,year,DVDPrice,0.5*DVDPrice FROM Movie WHERE DVDPrice>=20;
15. Find the sum of the discount prices of movies made after 1979.
SELECT SUM(discountPrice) FROM Movie WHERE year>1979;
16. Find the awards won and the average discount price of movies made before 1980, grouped by awards won.
SELECT awardsWon,AVG(discountPrice) FROM Movie WHERE year<1980 GROUPBY awardsWon;
17. Find the movieID, title, and year of movies, and the roleID and roleName of roles for the join of the Movie and Role tables where the gender of the role is female.
SELECT m.movieID,m.title,m.year,r.roleID,r.roleName FROM Movie m INNER JOIN Role r ON m.movieID=r.movieID WHERE r.gender='F';
18. Find the roleID, quoteID, and quoteText in the join between the Quote andRoleQuote tables where the roleID is 00001 or 00003.
SELECT r.roleID,q.quoteID,q.quoteText FROM RoleQuote r INNER JOIN Quote q ON r.quoteID=q.quoteID WHERE r.roleID IN (00001,00003);
19. Find the movie title and the number of roleIDs associated with it. Group the result by movie title, having a count of six or more roles.
SELECT m.title,COUNT(r.roleID) FROM Movie m INNER JOIN Role r ON m.movieID=r.movieID WHERE COUNT(r.roleID>6) GROUPBY m.title;
20. Find the maximum DVDPrice for a movie with a role played by actorID 00001.
SELECT MAX(DVDPrice) FROM Movie m INNER JOIN Role r ON m.movieID=r.movieID WHERE actorID=00001;
Write MySQL query statements for the questions below including the output that proves the accuracy of...
Need help writing a program that meets pseudocode and criteria . Txt File below input.txt file data 05 11/30/16 03 12/07/16 05 12/07/16 05 12/08/16 01 12/10/16 07 12/11/16 07 12/14/16 06 12/15/16 02 12/21/16 05 12/21/16 06 12/22/16 07 12/22/16 08 12/23/16 07 12/23/16 07 12/23/16 07 12/23/16 08 12/24/16 08 12/24/16 07 12/24/16 03 12/26/16 05 12/26/16 07 12/28/16 04 12/29/16 07 01/01/17 06 01/03/17 07 01/03/17 08 01/05/17 05 01/10/17 04 01/17/17 08 01/17/17 07 01/18/17 07...
I want write a MySQL query to get the number of customers who have made at least one purchase in each group (gender, education), I know how to do with two seperate query. but is that possible to get one query with the column like: gender | counts | education | counts The first 5 rows of each table looks like this: customers customer_id | first_name | last_name | state | birthdate | education | gender | date_account_opened 50 |...
write the following queris in sql : a) Using nested query , retreive the sependent names of male employees whose salary > 30000 b ) list the female employee, who are not managers EMPLOYEE Fname MinitLname John Franklin T Wong 333445555 1955-12-08 638 Voss, Houston, TX M 4 Ssn Sex Salary Super sen Dno B Smith 123456789 1965 01-09 731 Fondren, Houston, TX M 30000 13334455 AliciaZelaya 999987777 1968-01-19 3321 Castle, Spring, TXF Jennifer S Wallace 987654321 1941-06-20 291 Berry,...
nonlinear. Here we want you to verify this property by computing the output of S, for the following two pairs of inputs. The S-box S is given as follows: 0-6. (10 points) One important property which makes DES secure is that the S-Boxes are S-box S S0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 0 14 04 13 01 02 15 11 08 03 10 06 12 05 09 00 07 1...
The data set below are the unemployment rates from April 2016 through March 2018. The mean unemployment rate is 4.5, the median unemployment rate is 4.5, and the standard deviation of 0.33. Describe the data set using these statistics. Does the data appear to be consistent on a monthly basis? Year/Month Unemployment rate 2016-04 5.0 2016-05 2016-06 2016-07 2016-08 2016-09 2016-10 2016-11 2016-12 2017-01 2017-02 2017-03 2017-04 MacBook Pro 2017-05 4.3 2017-06 4 2017-07 4.3 2017-08 4.4 2017-09 4.2 2017-10...
Random Sampling Written Homework 1. The table below lists students in an imaginary Statistics class, along with their identification numbers. Use your graphing calculator to select a random sample of 8s 01. Adrian 07, Gregg 08. Helern 13. Max 19. Stella Adrian07 Greg8 02. Betty 03. Carl 04. Diane 05. Earl ET11. Kar 14. Nicole 15. Oliver 16. Paxton 20. Trace 21. Una 22. Verle 12. Lucy 18. Rashid 17. Quentin 23. Wyatt 24. Xavier 06. Filene 2. The same...
Use the following tide table to answer the questions in the Assessing Your Learning section of this lab. This tide table shows the predicted ocean heights for Santa Cruz/Monterey Bay, California during December 2011. 1. A visit to Santa Cruz/Monterey Bay, California is planned during the week of December 4-10 to view the tide pools. To observe intertidal animals during the daytime at the lowest possible tide, the best time to visit the beach is on _________________ at _________________. (4...
Use the tables in the next page to answer the following questions in SQL. 1. Print the names of employees who work in a project located in Houston. 2. Print the names of employees with no dependents. 3. Print the names of employees who are managers. 4. Print the names of employees who have more than one wife. 5. Print the names of employees who work in all the projects. EMPLOYEE Frame John Franklin Minit B T S K A...
Need help with C++ assignment Assignment 1 and .txt files are provided at the bottom. PART A PART B Assignment 1 #include <iostream> #include <string> #include <fstream> #include <iomanip> #include <stdio.h> #include <ctype.h> #include <string.h> #include <algorithm> using namespace std; /** This structure is to store the date and it has three integer fields **/ struct Date{ int day; int month; int year; }; /** This structure is to store the size of the box and it...
Write down the linear model Identify the dependent, and the independent variable Advertising and sales data: 36 consecutive monthly sales and advertising expenditures of a dietary weight control product Exported from datamarket.com Date exported 2014-10-26 21:28 On DataMarket Unknown; please assume a restricted license (all rights reserved); contact DataMarket if you need different licensing Time Series Data Library Source URL Advertisi Sales Indicator 0001-01 0001-02 0001-03 0001-04 0001-05 0001-06 0001-07 0001-08 0001-09 0001-10 0001-11 0001-12 0002-01 20.5 15.3 23.5 24.5...