SQL exercises on movie Database: Find the director's first and last name together with the title of the movie(s) they directed and received the rating
SQL movie Database: Join Exercise-15 with Solution
15. From the following table, write a SQL query to find out which movies have received ratings. Return movie title, director first name, director last name and review stars.
Sample table: moviemov_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 | UKSample 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 | 13091Sample 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 | 923Sample 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 Solution:
-- Selecting specific columns from the Movie table, movie_direction table, director table, and rating table
SELECT mov_title, dir_fname, dir_lname, rev_stars
-- Joining the Movie and movie_direction tables using the mov_id column
FROM Movie
JOIN movie_direction USING(mov_id)
-- Joining the result with the director table using the dir_id column
JOIN director USING (dir_id)
-- Performing a left join with the rating table using the mov_id column
LEFT JOIN rating USING(mov_id)
-- Filtering the result to include only records where rev_stars is not null
WHERE rev_stars IS NOT NULL;
Sample Output:
mov_title | dir_fname | dir_lname | rev_stars ----------------------------------------------------+----------------------+----------------------+----------- Vertigo | Alfred | Hitchcock | 8.40 The Innocents | Jack | Clayton | 7.90 Lawrence of Arabia | David | Lean | 8.30 Blade Runner | Ridley | Scott | 8.20 The Usual Suspects | Bryan | Singer | 8.60 Boogie Nights | Paul | Thomas Anderson | 3.00 Annie Hall | Woody | Allen | 8.10 Princess Mononoke | Hayao | Miyazaki | 8.40 American Beauty | Sam | Mendes | 7.00 Titanic | James | Cameron | 7.70 Good Will Hunting | Gus | Van Sant | 4.00 Donnie Darko | Richard | Kelly | 8.10 Slumdog Millionaire | Danny | Boyle | 8.00 Aliens | James | Cameron | 8.40 Beyond the Sea | Kevin | Spacey | 6.70 (15 rows)
Code Explanation :
The said query in SQL that retrieves data from the tables Movie, movie_direction, and director, and a left join to rating table to retrieve movies that have received ratings.
The FROM clause specifies the main table Movie and two other tables movie_direction and director that are joined using the JOIN keyword with mov_id as the common column.
The left join keyword is used to retrieve movies that have received ratings from the rating table.
The where clause is used to filter the result set to only include movies that have received ratings.
Alternative Solutions:
Using EXISTS Clause:
SELECT mov_title, dir_fname, dir_lname, rev_stars
FROM Movie
JOIN movie_direction USING(mov_id)
JOIN director USING(dir_id)
LEFT JOIN rating USING(mov_id)
WHERE EXISTS (SELECT 1 FROM rating WHERE rating.mov_id = Movie.mov_id AND rev_stars IS NOT NULL);
Explanation:
This SQL query uses the EXISTS clause with a subquery to check if there exists a rating for a particular movie. If a rating exists, the row is included in the result set.
Using a Subquery with IN Clause:
SELECT mov_title, dir_fname, dir_lname, rev_stars
FROM Movie
JOIN movie_direction USING(mov_id)
JOIN director USING(dir_id)
LEFT JOIN rating USING(mov_id)
WHERE mov_id IN (SELECT mov_id FROM rating WHERE rev_stars IS NOT NULL);
Explanation:
This SQL query uses a subquery in the WHERE clause with an IN clause to filter out movies without ratings. It selects mov_id values from the rating table where rev_stars is not null, and then includes only those movies in the result set.
Using a Subquery with JOIN:
SELECT mov_title, dir_fname, dir_lname, rev_stars
FROM Movie
JOIN movie_direction USING(mov_id)
JOIN director USING(dir_id)
LEFT JOIN (
SELECT mov_id, rev_stars
FROM rating
WHERE rev_stars IS NOT NULL
) AS rated_movies USING(mov_id)
WHERE rev_stars IS NOT NULL;
Explanation:
This SQL query uses a subquery that selects mov_id and rev_stars from the rating table where rev_stars is not null. This subquery is then joined with the main query using a LEFT JOIN, allowing for movies without ratings to still appear in the result set.
Practice Online
Query Visualization:
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Previous: From the following tables, write a SQL query to find those movies that have at least one rating and received highest number of stars. Sort the result-set on movie title. Return movie title and maximum review stars.
Next: Write a query in SQL to find the movie title, actor first and last name, and the role for those movies where one or more actors acted in two or more movies.
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