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SQL exercises

SQL exercises on movie Database: Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars

SQL movie Database: Join Exercise-13 with Solution

13. Write a query in SQL to return the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars.

Sample table: movie


Sample table: rating


Sample table: reviewer


Sample Solution:

SELECT rev_name, mov_title, rev_stars
FROM movie, rating, reviewer
WHERE movie.mov_id = rating.mov_id 
AND reviewer.rev_id = rating.rev_id AND rev_name IS NOT NULL
ORDER BY rev_name, mov_title, rev_stars;

OR

SELECT rev_name, mov_title, rev_stars
FROM movie
INNER JOIN rating ON movie.mov_id = rating.mov_id
INNER JOIN reviewer ON reviewer.rev_id = rating.rev_id
WHERE rev_name IS NOT NULL
ORDER BY rev_name, mov_title, rev_stars;

OR

SELECT rev_name, mov_title, rev_stars
FROM movie
INNER JOIN rating USING(mov_id)
INNER JOIN Reviewer USING(rev_id)
WHERE rev_name IS NOT NULL
ORDER BY rev_name, mov_title, rev_stars;

OR

SELECT rev_name, mov_title, rev_stars
FROM movie 
NATURAL JOIN rating 
NATURAL JOIN reviewer
WHERE rev_name IS NOT NULL
ORDER BY rev_name, mov_title, rev_stars;

Sample Output:

            rev_name            |                     mov_title                      | rev_stars
--------------------------------+----------------------------------------------------+-----------
 Brandt Sponseller              | Aliens                                             |      8.40
 Flagrant Baronessa             | Lawrence of Arabia                                 |      8.30
 Hannah Steele                  | Donnie Darko                                       |      8.10
 Jack Malvern                   | The Innocents                                      |      7.90
 Josh Cates                     | Good Will Hunting                                  |      4.00
 Krug Stillo                    | Braveheart                                         |      7.70
 Mike Salvati                   | Annie Hall                                         |      8.10
 Neal Wruck                     | Chinatown                                          |
 Paul Monks                     | Boogie Nights                                      |      3.00
 Richard Adams                  | Beyond the Sea                                     |      6.70
 Righty Sock                    | Titanic                                            |      7.70
 Righty Sock                    | Vertigo                                            |      8.40
 Sasha Goldshtein               | American Beauty                                    |      7.00
 Scott LeBrun                   | Trainspotting                                      |
 Simon Wright                   | The Usual Suspects                                 |      8.60
 Victor Woeltjen                | Avatar                                             |      7.30
 Vincent Cadena                 | Slumdog Millionaire                                |      8.00
(17 rows)

Practice Online


Movie database model

Query Visualization for Sample Solution:

Duration:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Duration

Rows:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Rows

Cost:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Cost

Query Visualization for alternate Sample Solution:

Duration:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Duration

Rows:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Rows

Cost:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Cost

Query Visualization for second alternate Sample Solution:

Duration:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Duration

Rows:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Rows

Cost:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Cost

Query Visualization for third alternate Sample Solution:

Duration:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Duration

Rows:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Rows

Cost:

Query visualization of Find the reviewer name, movie title, and stars in an order that reviewer name will come first, then by movie title, and lastly by number of stars - Cost

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Previous: Write a query in SQL to find all the years which produced a movie that received a rating of 3 or 4, and sort the result in increasing order.
Next: Write a query in SQL to find movie title and number of stars for each movie that has at least one rating and find the highest number of stars that movie received and sort the result by movie title.

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