SQL exercises on movie Database: Find the movie title, year, date of release, director and actor for those movies which reviewer is unknown
SQL movie Database: Subquery Exercise-4 with Solution
4. From the following tables, write a SQL query to find for movies whose reviewer is unknown. Return movie title, year, release date, director first name, last name, actor first name, last name.
Sample table: movie
mov_id | mov_title | mov_year | mov_time | mov_lang | mov_dt_rel | mov_rel_country
--------+----------------------------------------------------+----------+----------+-----------------+------------+-----------------
901 | Vertigo | 1958 | 128 | English | 1958-08-24 | UK
902 | The Innocents | 1961 | 100 | English | 1962-02-19 | SW
903 | Lawrence of Arabia | 1962 | 216 | English | 1962-12-11 | UK
904 | The Deer Hunter | 1978 | 183 | English | 1979-03-08 | UK
905 | Amadeus | 1984 | 160 | English | 1985-01-07 | UK
906 | Blade Runner | 1982 | 117 | English | 1982-09-09 | UK
907 | Eyes Wide Shut | 1999 | 159 | English | | UK
908 | The Usual Suspects | 1995 | 106 | English | 1995-08-25 | UK
909 | Chinatown | 1974 | 130 | English | 1974-08-09 | UK
910 | Boogie Nights | 1997 | 155 | English | 1998-02-16 | UK
911 | Annie Hall | 1977 | 93 | English | 1977-04-20 | USA
912 | Princess Mononoke | 1997 | 134 | Japanese | 2001-10-19 | UK
913 | The Shawshank Redemption | 1994 | 142 | English | 1995-02-17 | UK
914 | American Beauty | 1999 | 122 | English | | UK
915 | Titanic | 1997 | 194 | English | 1998-01-23 | UK
916 | Good Will Hunting | 1997 | 126 | English | 1998-06-03 | UK
917 | Deliverance | 1972 | 109 | English | 1982-10-05 | UK
918 | Trainspotting | 1996 | 94 | English | 1996-02-23 | UK
919 | The Prestige | 2006 | 130 | English | 2006-11-10 | UK
920 | Donnie Darko | 2001 | 113 | English | | UK
921 | Slumdog Millionaire | 2008 | 120 | English | 2009-01-09 | UK
922 | Aliens | 1986 | 137 | English | 1986-08-29 | UK
923 | Beyond the Sea | 2004 | 118 | English | 2004-11-26 | UK
924 | Avatar | 2009 | 162 | English | 2009-12-17 | UK
926 | Seven Samurai | 1954 | 207 | Japanese | 1954-04-26 | JP
927 | Spirited Away | 2001 | 125 | Japanese | 2003-09-12 | UK
928 | Back to the Future | 1985 | 116 | English | 1985-12-04 | UK
925 | Braveheart | 1995 | 178 | English | 1995-09-08 | UK
Sample table: actor
act_id | act_fname | act_lname | act_gender
--------+----------------------+----------------------+------------
101 | James | Stewart | M
102 | Deborah | Kerr | F
103 | Peter | OToole | M
104 | Robert | De Niro | M
105 | F. Murray | Abraham | M
106 | Harrison | Ford | M
107 | Nicole | Kidman | F
108 | Stephen | Baldwin | M
109 | Jack | Nicholson | M
110 | Mark | Wahlberg | M
111 | Woody | Allen | M
112 | Claire | Danes | F
113 | Tim | Robbins | M
114 | Kevin | Spacey | M
115 | Kate | Winslet | F
116 | Robin | Williams | M
117 | Jon | Voight | M
118 | Ewan | McGregor | M
119 | Christian | Bale | M
120 | Maggie | Gyllenhaal | F
121 | Dev | Patel | M
122 | Sigourney | Weaver | F
123 | David | Aston | M
124 | Ali | Astin | F
Sample table: director
dir_id | dir_fname | dir_lname
--------+----------------------+----------------------
201 | Alfred | Hitchcock
202 | Jack | Clayton
203 | David | Lean
204 | Michael | Cimino
205 | Milos | Forman
206 | Ridley | Scott
207 | Stanley | Kubrick
208 | Bryan | Singer
209 | Roman | Polanski
210 | Paul | Thomas Anderson
211 | Woody | Allen
212 | Hayao | Miyazaki
213 | Frank | Darabont
214 | Sam | Mendes
215 | James | Cameron
216 | Gus | Van Sant
217 | John | Boorman
218 | Danny | Boyle
219 | Christopher | Nolan
220 | Richard | Kelly
221 | Kevin | Spacey
222 | Andrei | Tarkovsky
223 | Peter | Jackson
Sample table: movie_direction
dir_id | mov_id
--------+--------
201 | 901
202 | 902
203 | 903
204 | 904
205 | 905
206 | 906
207 | 907
208 | 908
209 | 909
210 | 910
211 | 911
212 | 912
213 | 913
214 | 914
215 | 915
216 | 916
217 | 917
218 | 918
219 | 919
220 | 920
218 | 921
215 | 922
221 | 923
Sample table: movie_cast
act_id | mov_id | role
--------+--------+--------------------------------
101 | 901 | John Scottie Ferguson
102 | 902 | Miss Giddens
103 | 903 | T.E. Lawrence
104 | 904 | Michael
105 | 905 | Antonio Salieri
106 | 906 | Rick Deckard
107 | 907 | Alice Harford
108 | 908 | McManus
110 | 910 | Eddie Adams
111 | 911 | Alvy Singer
112 | 912 | San
113 | 913 | Andy Dufresne
114 | 914 | Lester Burnham
115 | 915 | Rose DeWitt Bukater
116 | 916 | Sean Maguire
117 | 917 | Ed
118 | 918 | Renton
120 | 920 | Elizabeth Darko
121 | 921 | Older Jamal
122 | 922 | Ripley
114 | 923 | Bobby Darin
109 | 909 | J.J. Gittes
119 | 919 | Alfred Borden
Sample table: reviewer
rev_id | rev_name --------+-------------------------------- 9001 | Righty Sock 9002 | Jack Malvern 9003 | Flagrant Baronessa 9004 | Alec Shaw 9005 | 9006 | Victor Woeltjen 9007 | Simon Wright 9008 | Neal Wruck 9009 | Paul Monks 9010 | Mike Salvati 9011 | 9012 | Wesley S. Walker 9013 | Sasha Goldshtein 9014 | Josh Cates 9015 | Krug Stillo 9016 | Scott LeBrun 9017 | Hannah Steele 9018 | Vincent Cadena 9019 | Brandt Sponseller 9020 | Richard AdamsSample table: rating
mov_id | rev_id | rev_stars | num_o_ratings
--------+--------+-----------+---------------
901 | 9001 | 8.40 | 263575
902 | 9002 | 7.90 | 20207
903 | 9003 | 8.30 | 202778
906 | 9005 | 8.20 | 484746
924 | 9006 | 7.30 |
908 | 9007 | 8.60 | 779489
909 | 9008 | | 227235
910 | 9009 | 3.00 | 195961
911 | 9010 | 8.10 | 203875
912 | 9011 | 8.40 |
914 | 9013 | 7.00 | 862618
915 | 9001 | 7.70 | 830095
916 | 9014 | 4.00 | 642132
925 | 9015 | 7.70 | 81328
918 | 9016 | | 580301
920 | 9017 | 8.10 | 609451
921 | 9018 | 8.00 | 667758
922 | 9019 | 8.40 | 511613
923 | 9020 | 6.70 | 13091
Sample Solution:
-- Selecting specific columns from various tables (movie, movie_direction, director, rating, reviewer, actor, movie_cast)
-- Using aliases (a, b, c, d, e, f, g) for better readability
SELECT mov_title, mov_year, mov_dt_rel, dir_fname, dir_lname,
act_fname, act_lname
FROM movie a, movie_direction b, director c,
rating d, reviewer e, actor f, movie_cast g
-- Joining tables based on their relationships using specified conditions
-- Combining data from multiple tables to retrieve relevant information
WHERE a.mov_id=b.mov_id
AND b.dir_id=c.dir_id
AND a.mov_id=d.mov_id
AND d.rev_id=e.rev_id
AND a.mov_id=g.mov_id
AND g.act_id=f.act_id
AND e.rev_name IS NULL;
Sample Output:
mov_title | mov_year | mov_dt_rel | dir_fname | dir_lname | act_fname | act_lname
----------------------------------------------------+----------+------------+----------------------+----------------------+----------------------+----------------------
Blade Runner | 1982 | 1982-09-09 | Ridley | Scott | Harrison | Ford
Princess Mononoke | 1997 | 2001-10-19 | Hayao | Miyazaki | Claire | Danes
(2 rows)
Code Explanation:
The said query in SQL that selects various information about movies, directors, actors, and reviewers
from several tables in the movie database, but only for movies that have not been reviewed.
This query retrieve columns movie title, year,
date of release, director first and last names, actor first and last names from the tables join together are 'movie', 'movie_direction', 'director', 'rating', 'reviewer', 'actor', and 'movie_cast'.
The JOIN clause joins the 'movie' and 'movie_direction' table on "mov_id" column the 'movie_direction' and 'director' tables on "dir_id" column, the 'movie' and 'rating' tables on "mov_id" column, the 'rating' and 'reviewer' tables on "rev_id" column the 'movie' and 'movie_cast' tables on "mov_id" column , the 'movie_cast' and 'actor' tables on "act_id" column, and the "rev_name" column in 'reviewer' must be NULL (i.e., the movie has not been reviewed).
Alternative Solutions:
Using Explicit JOIN Syntax:
SELECT a.mov_title, a.mov_year, a.mov_dt_rel,
c.dir_fname, c.dir_lname, f.act_fname, f.act_lname
FROM movie a
JOIN movie_direction b ON a.mov_id = b.mov_id
JOIN director c ON b.dir_id = c.dir_id
JOIN rating d ON a.mov_id = d.mov_id
JOIN reviewer e ON d.rev_id = e.rev_id
JOIN movie_cast g ON a.mov_id = g.mov_id
JOIN actor f ON g.act_id = f.act_id
WHERE e.rev_name IS NULL;
Explanation:
This solution uses the explicit JOIN syntax to join the necessary tables based on their respective keys. It selects the specified columns and applies the condition for rev_name being NULL.
Using INNER JOIN with ON Clause:
SELECT a.mov_title, a.mov_year, a.mov_dt_rel,
c.dir_fname, c.dir_lname, f.act_fname, f.act_lname
FROM movie a
INNER JOIN movie_direction b ON a.mov_id = b.mov_id
INNER JOIN director c ON b.dir_id = c.dir_id
INNER JOIN rating d ON a.mov_id = d.mov_id
INNER JOIN reviewer e ON d.rev_id = e.rev_id
INNER JOIN movie_cast g ON a.mov_id = g.mov_id
INNER JOIN actor f ON g.act_id = f.act_id
WHERE e.rev_name IS NULL;
Explanation:
This solution also uses the explicit JOIN syntax with the ON clause to specify the join conditions. It selects the specified columns and applies the condition for rev_name being NULL.
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Previous: From the following table, write a SQL query to find those movies, which released in the country besides UK. Return movie title, movie year, movie time, date of release, releasing country.
Next: From the following tables, write a SQL query to find those movies directed by the director whose first name is ‘Woddy’ and last name is ‘Allen’. Return movie title.
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