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SQL exercises on movie Database: Generate a report which contain the columns movie title, name of the female actor, year of the movie, role, movie genres, the director, date of release, and rating of that movie

SQL movie Database: Join Exercise-24 with Solution

24. From the following tables, write a query in SQL to generate a report, which contain the fields movie title, name of the female actor, year of the movie, role, movie genres, the director, date of release, and rating of that movie.

Sample table: movie


Sample table: genres


Sample table: movie_genres


Sample table: rating


Sample table: actor


Sample table: director


Sample table: movie_direction


Sample table: movie_cast


Sample Solution:

SELECT mov_title, act_fname, act_lname, 
mov_year, role, gen_title, dir_fname, dir_lname, 
mov_dt_rel, rev_stars
FROM movie 
NATURAL JOIN movie_cast
NATURAL JOIN actor
NATURAL JOIN movie_genres
NATURAL JOIN genres
NATURAL JOIN movie_direction
NATURAL JOIN director
NATURAL JOIN rating
WHERE act_gender='F';

Sample Output:

                     mov_title                      |      act_fname       |      act_lname       | mov_year |              role              |      gen_title       |      dir_fname       |      dir_lname       | mov_dt_rel | rev_stars
----------------------------------------------------+----------------------+----------------------+----------+--------------------------------+----------------------+----------------------+----------------------+------------+-----------
 The Innocents                                      | Deborah              | Kerr                 |     1961 | Miss Giddens                   | Horror               | Jack                 | Clayton              | 1962-02-19 |      7.90
 Princess Mononoke                                  | Claire               | Danes                |     1997 | San                            | Animation            | Hayao                | Miyazaki             | 2001-10-19 |      8.40
 Aliens                                             | Sigourney            | Weaver               |     1986 | Ripley                         | Action               | James                | Cameron              | 1986-08-29 |      8.40
(3 rows)

Relational Algebra Expression:

Relational Algebra Expression: Generate a report which contain the columns movie title, name of the female actor, year of the movie, role, movie genres, the director, date of release, and rating of that movie.

Relational Algebra Tree:

Relational Algebra Tree: Generate a report which contain the columns movie title, name of the female actor, year of the movie, role, movie genres, the director, date of release, and rating of that movie.

Practice Online


Movie database model

Query Visualization:

Duration:

Query visualization of Generate a report which contain the columns movie title, name of the female actor, year of the movie, role, movie genres, the director, date of release, and rating of that movie - Duration

Rows:

Query visualization of Generate a report which contain the columns movie title, name of the female actor, year of the movie, role, movie genres, the director, date of release, and rating of that movie - Rows

Cost:

Query visualization of Generate a report which contain the columns movie title, name of the female actor, year of the movie, role, movie genres, the director, date of release, and rating of that movie - Cost

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Previous: From the following tables, write a SQL query to find the years when most of the ‘Mystery Movies’ produced. Count the number of generic title and compute their average rating. Group the result set on movie release year, generic title. Return movie year, generic title, number of generic title and average rating.
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SQL: Tips of the Day

SQL Server SELECT into existing table.

INSERT INTO dbo.TABLETWO
SELECT col1, col2
  FROM dbo.TABLEONE
 WHERE col3 LIKE @search_key

This assumes there's only two columns in dbo.TABLETWO - you need to specify the columns otherwise:

INSERT INTO dbo.TABLETWO
  (col1, col2)
SELECT col1, col2
  FROM dbo.TABLEONE
 WHERE col3 LIKE @search_key

Database: SQL Server

Ref: https://bit.ly/3y6tpA3