From ad92f210abb54c8222ac31132e4e3aaa84c7eb2b Mon Sep 17 00:00:00 2001
From: Sofia Samoilova <samoilova.se@phystech.edu>
Date: Wed, 31 Jan 2024 17:03:02 +0000
Subject: [PATCH 1/7] Update 6 files
- /practice_2024/Seminar_1/README.md
- /practice_2024/Seminar_1/solved_sem1.sql
- /practice_2024/Seminar_1/tasks_sem1.sql
- /practice_2024/Seminar_1/insert_sem1.sql
- /practice_2024/Seminar_1/img/img0_sql_statements.png
- /practice_2024/Seminar_1/img/img1_sql_datatypes.png
---
practice_2024/Seminar_1/README.md | 193 +++++++++++
.../Seminar_1/img/img0_sql_statements.png | Bin 0 -> 51766 bytes
.../Seminar_1/img/img1_sql_datatypes.png | Bin 0 -> 70893 bytes
practice_2024/Seminar_1/insert_sem1.sql | 315 ++++++++++++++++++
practice_2024/Seminar_1/solved_sem1.sql | 209 ++++++++++++
practice_2024/Seminar_1/tasks_sem1.sql | 109 ++++++
6 files changed, 826 insertions(+)
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create mode 100644 practice_2024/Seminar_1/img/img0_sql_statements.png
create mode 100644 practice_2024/Seminar_1/img/img1_sql_datatypes.png
create mode 100644 practice_2024/Seminar_1/insert_sem1.sql
create mode 100644 practice_2024/Seminar_1/solved_sem1.sql
create mode 100644 practice_2024/Seminar_1/tasks_sem1.sql
diff --git a/practice_2024/Seminar_1/README.md b/practice_2024/Seminar_1/README.md
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+## Тема 1. Базовые SQL-запроÑÑ‹
+
+### ТеоретичеÑÐºÐ°Ñ Ñправка
+
+#### 1.0 Введение
+
+**Операторы SQL:**
+<img src="img/img0_sql_statements.png" width="500">
+
+**Типы данных SQL:**
+<img src="img/img1_sql_datatypes.png" width="500">
+
+#### 1.1 Структура запроÑа
+
+ПорÑдок напиÑÐ°Ð½Ð¸Ñ Ð·Ð°Ð¿Ñ€Ð¾Ñа:
+
+```sql
+SELECT [DISTINCT] select_item_comma_list -- ÑпиÑок Ñтолбцов Ð´Ð»Ñ Ð²Ñ‹Ð²Ð¾Ð´Ð°
+FROM table_reference_comma_list -- ÑпиÑок таблиц
+[WHERE conditional_expression] -- уÑÐ»Ð¾Ð²Ð¸Ñ Ñ„Ð¸Ð»ÑŒÑ‚Ñ€Ð°Ñ†Ð¸Ð¸, можно иÑпользовать AND / OR / NOT
+[GROUP BY column_name_comma_list] -- уÑловие группировки
+[HAVING conditional_expression] -- уÑловие фильтрации поÑле группировки
+[ORDER BY order_item_comma_list]; -- ÑпиÑок полей, по которым ÑортируетÑÑ Ð²Ñ‹Ð²Ð¾Ð´
+```
+
+#### 1.2 ПорÑдок Ð²Ñ‹Ð¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ð·Ð°Ð¿Ñ€Ð¾Ñа
+
+ПорÑдок Ð²Ñ‹Ð¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ð·Ð°Ð¿Ñ€Ð¾Ñа отличаетÑÑ Ð¾Ñ‚ порÑдка его запиÑи, Ñто необходимо помнить:
+
+**FROM <span>→</span> WHERE <span>→</span> GROUP BY <span>→</span> HAVING <span>→</span> SELECT <span>→</span> ORDER BY**
+
+#### 1.3 Ðгрегирующие функции
+
+При группировке в блоке `SELECT` могут вÑтречатьÑÑ Ð»Ð¸Ð±Ð¾ атрибуты, по которым проиÑходит группировка, либо атрибуты, которые подаютÑÑ Ð½Ð° вход агрегирующим функциÑм. Ð’ SQL еÑÑ‚ÑŒ 5 Ñтандартных агрегирующих функций. При выполнении запроÑа функции не учитываетÑÑ Ñпециальное значение `NULL`, которым обозначаетÑÑ Ð¾Ñ‚ÑутÑтвующее значение.
+
+* `count()` – количеÑтво запиÑей Ñ Ð¸Ð·Ð²ÐµÑтным значением. ЕÑли необходимо подÑчитать количеÑтво уникальных значений, можно иÑпользовать `count(DISTINCT field_nm)`
+* `max()` - наибольшее из вÑех выбранных значений полÑ
+* `min()` - наименьшее из вÑех выбранных значений полÑ
+* `sum()` - Ñумма вÑех выбранных значений полÑ
+* `avg()` - Ñреднее вÑех выбранных значений полÑ
+
+#### 1.4 Полезные функции
+
+Иногда бывает полезно иÑпользовать в запроÑе Ñпециальные функции:
+* `IN` - принадлежноÑÑ‚ÑŒ определенному набору значений:
+`X IN (a1, a2, ..., an)` <span>≣</span> X = a<sub>1</sub> or X = a<sub>2</sub> or ... or X = a<sub>n</sub>
+* `BETWEEN` - принадлежноÑÑ‚ÑŒ определенному интервалу значений:
+`X BETWEEN A AND B` <span>≣</span> (X >= A and X <= B) or (X <= A and X >= B)
+* `LIKE` - удовлетворение текÑта паттерну: `X LIKE '0%abc_0'`, где `_` - ровно 1 Ñимвол, а `%` - Ð»ÑŽÐ±Ð°Ñ Ð¿Ð¾ÑледовательноÑÑ‚ÑŒ Ñимволов (в том чиÑле нулевой длины).
+* `SIMILAR TO` - удовлетворение текÑта регулÑрному выражению SQL (похожи на POSIX): `'abc' SIMILAR TO '%(b|d)%'`
+* `IF ... THEN ... [ELSIF ... THEN ... ELSE ...] END IF` - ветвлениÑ, **пример**:
+```postgresql
+SELECT
+ IF number = 0 THEN
+ 'zero'
+ ELSIF number > 0 THEN
+ 'positive'
+ ELSIF number < 0 THEN
+ 'negative'
+ ELSE
+ 'NULL'
+ END IF AS number_class
+FROM
+ numbers
+```
+* `CASE [...] WHEN ... THEN ... ELSE ... END CASE` - еще один аналог ветвлений, **пример**:
+```postgresql
+SELECT
+ CASE
+ WHEN number = 0 THEN
+ 'zero'
+ WHEN number > 0 THEN
+ 'positive'
+ WHEN number < 0 THEN
+ 'negative'
+ ELSE
+ 'NULL'
+ END CASE AS number_class
+FROM
+ numbers
+```
+* `DISTINCT ON` - иÑключает Ñтроки, Ñовпадающие по вÑем указанным выражениÑм, **пример**:
+```postgresql
+-- вывеÑти кол-во уникальных отделов
+SELECT
+ count(DISTINCT ON department_nm)
+FROM
+ salary;
+```
+* [Еще немного полезноÑтей](https://postgrespro.ru/docs/postgresql/9.5/functions-conditional)
+
+#### 1.5 Работа Ñ Ð´Ð°Ñ‚Ð°Ð¼Ð¸
+
+ЕÑÑ‚ÑŒ 4 оÑновных ÑпоÑоба Ñ…Ñ€Ð°Ð½ÐµÐ½Ð¸Ñ Ð·Ð½Ð°Ñ‡ÐµÐ½Ð¸Ð¹ времени в PostgreSQL:
+
+| data type | description | example | output |
+|---|---|---|---|
+| TIMESTAMP | date and time | `TIMESTAMP '2023-04-10 10:39:37'` | 2023-04-10T10:39:37 |
+| DATE | date (no time) | `DATE '2023-04-10 10:39:37'` | 2023-04-10 |
+| TIME | time (no day) | `TIME '2023-04-10 10:39:37'` | 10:39:37 |
+| INTERVAL | interval between two date/times | `TIME '2023-04-10 10:39:37'` | 1 day, 2:00:10 |
+
+* СегоднÑшнюю дату можно найти так: `NOW()` (timestamp), `CURRENT_DATE` (date), `LOCALTIME` (текущее времÑ)
+* `DATE_TRUNC(‘[interval]’, time_column)` - позволÑет округлить до меÑÑца, года, чиÑла и Ñ‚.д.
+Пример: `DATE_TRUNC(‘month’, DATE '2023-04-10')` вернёт `DATE '2023-04-01'`
+`DATE_TRUNC(‘day’, TIMESTAMP '2023-04-10 10:39:37')` вернёт `TIMESTAMP '2023-04-10 00:00:00'`
+* `TO_CHAR([date type], [pattern])` - позволÑет форматировать дату в Ñтроку по шаблону
+Пример: `TO_CHAR(DATE '2023-04-10', 'YY')` выведет 2 поÑледние цифры года 23
+
+[Подробнее про to_char и виды шаблонов](https://www.postgresql.org/docs/current/functions-formatting.html)
+
+### ПрактичеÑÐºÐ°Ñ Ñ‡Ð°ÑÑ‚ÑŒ
+
+Будем работать Ñ Ð´Ð°Ð½Ð½Ñ‹Ð¼Ð¸ о фильмах Ñ IMDB (рандомные 300 фильмов из топ-1000)
+
+1. Создать Ñхему `sem_1`:
+
+2. Создать таблицу `sem_1.movies` Ñо Ñледующими полÑми и запуÑтить операции вÑтавки (из отдельного файла)
+
+ title (название фильма)
+ release_year (год выпуÑка)
+ duration_min (длительноÑÑ‚ÑŒ в мин)
+ genre (жанры)
+ rating (рейтинг)
+ director (режиÑÑÑ‘Ñ€)
+ star_1 (1й главный актёр)
+ star_2 (2й главный актёр)
+
+3. ПоÑмотреть метаданные о таблице и Ñтолбцах в information_schema.tables и information_schema.columns
+
+4. Выведи вÑÑ‘ Ñодержимое таблицы
+
+5. Выведи вÑе Ð½Ð°Ð·Ð²Ð°Ð½Ð¸Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð¾Ð² и их год выпуÑка
+
+6. Выведите вÑех режиÑÑёров, вÑтречающихÑÑ Ð² таблице
+
+7. Ð’ каком году был ÑнÑÑ‚ 'Fight Club'? ВывеÑти только год
+
+8. Выведите вÑе фильмы 'Christopher Nolan', год и рейтинг
+
+9. Выведите вÑе фильмы, в которых главную роль Ñыграл 'Christian Bale'
+
+10. Ðайдите вÑе комедии (Comedy) длительноÑтью меньше 2Ñ… чаÑов и Ñ Ñ€ÐµÐ¹Ñ‚Ð¸Ð½Ð³Ð¾Ð¼ не менее 8.5
+Выводить название фильма, год, длительноÑÑ‚ÑŒ, жанр, рейтинг
+
+11. Выведите вÑе фильмы, ÑнÑтые до 2010 года, в которых ÑнималÑÑ 'Leonardo DiCaprio' или 'Tom Hanks'.
+Выводить название фильма, год, двух главных героев
+
+12. Выведите вÑе фильмы жанра 'Drama'
+Учитывайте, как лежат данные в Ñтолбце genre
+
+13. Выведите вÑех актёров, которых зовут Jack, Sam или John (можно только Ð´Ð»Ñ star_1).
+
+14. Выведите вÑе Ð½Ð°Ð·Ð²Ð°Ð½Ð¸Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð¾Ð², в которых ÑодержитÑÑ Ð»Ð¸Ð±Ð¾ цифра 3, либо цифра 7.
+
+15. Ðайдите кол-во фильмов, кол-во различных режиÑÑёров, Ñамый ранний и поздний год релиза
+
+16. Выведите Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ режиÑÑёра кол-во его фильмов. УпорÑдочить по убыванию кол-ва фильмов
+
+17. Сколько чаÑов займёт проÑмотр вÑех фильмов 'Quentin Tarantino'?
+
+18. Выведите вÑех актёров, которые были 1-м главным актёром в более чем 3Ñ… фильмах,
+и кол-во таких фильмов ÑоответÑтвенно
+
+19. Ðайдите вÑех режиÑÑёров 21го века (первый фильм был ÑнÑÑ‚ поÑле 2000го года). ВывеÑти режиÑÑёра и год первого фильма
+
+20. Выведите фильм Ñ Ñамым большим рейтингом
+
+21. Выведите Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ режиÑÑёра его Ñамый ранний фильм (при равенÑтве годов выводить Ñ Ð½Ð°Ð¸Ð±Ð¾Ð»ÑŒÑˆÐ¸Ð¼ рейтингом)
+ВывеÑти Ñтобцы режиÑÑÑ‘Ñ€, название фильма, год, рейтинг
+
+22. Ðайдите кол-во и Ñредний рейтинг фильмов Ð´Ð»Ñ Ð´Ð²ÑƒÑ… категорий: фильмы 20го и 21го века
+Округлить до двух знаков поÑле запÑтой
+
+Теперь работаем Ñ Ð¾Ð¿ÐµÑ€Ð°Ñ†Ð¸Ñми (банковÑкие транзакции)
+
+23. Создать таблицу Ñ Ð¾Ð¿ÐµÑ€Ð°Ñ†Ð¸Ñми Ñо Ñледующими полÑми и заполнить ее.
+
+operation_id (ID операции)
+operation_dt (дата операции)
+client_rk (идентификатор клиента)
+operation_amt (Ñумма операции)
+
+24. Как найти Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ клиента Ñумму операций за поÑледний меÑÑц? (еÑли ÑÐµÐ³Ð¾Ð´Ð½Ñ 2 февралÑ, то операции Ñчитаем Ñо 2го ÑнварÑ)
+
+25. Как найти Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ клиента Ñреднюю Ñумму операций за текущий меÑÑц (еÑли ÑÐµÐ³Ð¾Ð´Ð½Ñ 2 февралÑ, то только за февраль)?
+
+26. Как найти Ñумму платежей в каждом квартале?
+
+---
+
+### Полезные ÑÑылки
+* [SQLize.online is a free online SQL environment for quickly running, experimenting with and sharing SQL code.](https://sqlize.online/sql/psql14/9cffb8e3d397e93627eb41cd55b10c20/)
\ No newline at end of file
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diff --git a/practice_2024/Seminar_1/insert_sem1.sql b/practice_2024/Seminar_1/insert_sem1.sql
new file mode 100644
index 0000000..660e9bd
--- /dev/null
+++ b/practice_2024/Seminar_1/insert_sem1.sql
@@ -0,0 +1,315 @@
+CREATE SCHEMA IF NOT EXISTS sem_1;
+
+DROP TABLE IF EXISTS sem_1.movies;
+CREATE TABLE sem_1.movies (
+ title VARCHAR(100),
+ release_year INTEGER,
+ duration_min INTEGER,
+ genre VARCHAR,
+ rating NUMERIC,
+ director VARCHAR(50),
+ star_1 VARCHAR(50),
+ star_2 VARCHAR(50)
+);
+
+INSERT INTO sem_1.movies VALUES
+('The Shawshank Redemption', 1994, 142, 'Drama', 9.3, 'Frank Darabont', 'Tim Robbins', 'Morgan Freeman'),
+('The Godfather', 1972, 175, 'Crime, Drama', 9.2, 'Francis Ford Coppola', 'Marlon Brando', 'Al Pacino'),
+('The Dark Knight', 2008, 152, 'Action, Crime, Drama', 9.0, 'Christopher Nolan', 'Christian Bale', 'Heath Ledger'),
+('The Godfather: Part II', 1974, 202, 'Crime, Drama', 9.0, 'Francis Ford Coppola', 'Al Pacino', 'Robert De Niro'),
+('12 Angry Men', 1957, 96, 'Crime, Drama', 9.0, 'Sidney Lumet', 'Henry Fonda', 'Lee J. Cobb'),
+('The Lord of the Rings: The Return of the King', 2003, 201, 'Action, Adventure, Drama', 8.9, 'Peter Jackson', 'Elijah Wood', 'Viggo Mortensen'),
+('Pulp Fiction', 1994, 154, 'Crime, Drama', 8.9, 'Quentin Tarantino', 'John Travolta', 'Uma Thurman'),
+('Schindler''s List', 1993, 195, 'Biography, Drama, History', 8.9, 'Steven Spielberg', 'Liam Neeson', 'Ralph Fiennes'),
+('Inception', 2010, 148, 'Action, Adventure, Sci-Fi', 8.8, 'Christopher Nolan', 'Leonardo DiCaprio', 'Joseph Gordon-Levitt'),
+('Fight Club', 1999, 139, 'Drama', 8.8, 'David Fincher', 'Brad Pitt', 'Edward Norton'),
+('The Lord of the Rings: The Fellowship of the Ring', 2001, 178, 'Action, Adventure, Drama', 8.8, 'Peter Jackson', 'Elijah Wood', 'Ian McKellen'),
+('Forrest Gump', 1994, 142, 'Drama, Romance', 8.8, 'Robert Zemeckis', 'Tom Hanks', 'Robin Wright'),
+('Il buono, il brutto, il cattivo', 1966, 161, 'Western', 8.8, 'Sergio Leone', 'Clint Eastwood', 'Eli Wallach'),
+('The Lord of the Rings: The Two Towers', 2002, 179, 'Action, Adventure, Drama', 8.7, 'Peter Jackson', 'Elijah Wood', 'Ian McKellen'),
+('The Matrix', 1999, 136, 'Action, Sci-Fi', 8.7, 'Lana Wachowski', 'Lilly Wachowski', 'Keanu Reeves'),
+('Goodfellas', 1990, 146, 'Biography, Crime, Drama', 8.7, 'Martin Scorsese', 'Robert De Niro', 'Ray Liotta'),
+('Star Wars: Episode V - The Empire Strikes Back', 1980, 124, 'Action, Adventure, Fantasy', 8.7, 'Irvin Kershner', 'Mark Hamill', 'Harrison Ford'),
+('One Flew Over the Cuckoo''s Nest', 1975, 133, 'Drama', 8.7, 'Milos Forman', 'Jack Nicholson', 'Louise Fletcher'),
+('Hamilton', 2020, 160, 'Biography, Drama, History', 8.6, 'Thomas Kail', 'Lin-Manuel Miranda', 'Phillipa Soo'),
+('Gisaengchung', 2019, 132, 'Comedy, Drama, Thriller', 8.6, 'Bong Joon Ho', 'Kang-ho Song', 'Lee Sun-kyun'),
+('Soorarai Pottru', 2020, 153, 'Drama', 8.6, 'Sudha Kongara', 'Suriya', 'Madhavan'),
+('Interstellar', 2014, 169, 'Adventure, Drama, Sci-Fi', 8.6, 'Christopher Nolan', 'Matthew McConaughey', 'Anne Hathaway'),
+('Cidade de Deus', 2002, 130, 'Crime, Drama', 8.6, 'Fernando Meirelles', 'Kátia Lund', 'Alexandre Rodrigues'),
+('Sen to Chihiro no kamikakushi', 2001, 125, 'Animation, Adventure, Family', 8.6, 'Hayao Miyazaki', 'Daveigh Chase', 'Suzanne Pleshette'),
+('Saving Private Ryan', 1998, 169, 'Drama, War', 8.6, 'Steven Spielberg', 'Tom Hanks', 'Matt Damon'),
+('The Green Mile', 1999, 189, 'Crime, Drama, Fantasy', 8.6, 'Frank Darabont', 'Tom Hanks', 'Michael Clarke Duncan'),
+('La vita è bella', 1997, 116, 'Comedy, Drama, Romance', 8.6, 'Roberto Benigni', 'Roberto Benigni', 'Nicoletta Braschi'),
+('Se7en', 1995, 127, 'Crime, Drama, Mystery', 8.6, 'David Fincher', 'Morgan Freeman', 'Brad Pitt'),
+('The Silence of the Lambs', 1991, 118, 'Crime, Drama, Thriller', 8.6, 'Jonathan Demme', 'Jodie Foster', 'Anthony Hopkins'),
+('Star Wars', 1977, 121, 'Action, Adventure, Fantasy', 8.6, 'George Lucas', 'Mark Hamill', 'Harrison Ford'),
+('Seppuku', 1962, 133, 'Action, Drama, Mystery', 8.6, 'Masaki Kobayashi', 'Tatsuya Nakadai', 'Akira Ishihama'),
+('Shichinin no samurai', 1954, 207, 'Action, Adventure, Drama', 8.6, 'Akira Kurosawa', 'Toshirô Mifune', 'Takashi Shimura'),
+('It''s a Wonderful Life', 1946, 130, 'Drama, Family, Fantasy', 8.6, 'Frank Capra', 'James Stewart', 'Donna Reed'),
+('Joker', 2019, 122, 'Crime, Drama, Thriller', 8.5, 'Todd Phillips', 'Joaquin Phoenix', 'Robert De Niro'),
+('Whiplash', 2014, 106, 'Drama, Music', 8.5, 'Damien Chazelle', 'Miles Teller', 'J.K. Simmons'),
+('The Intouchables', 2011, 112, 'Biography, Comedy, Drama', 8.5, 'Olivier Nakache', 'Éric Toledano', 'François Cluzet'),
+('The Prestige', 2006, 130, 'Drama, Mystery, Sci-Fi', 8.5, 'Christopher Nolan', 'Christian Bale', 'Hugh Jackman'),
+('The Departed', 2006, 151, 'Crime, Drama, Thriller', 8.5, 'Martin Scorsese', 'Leonardo DiCaprio', 'Matt Damon'),
+('The Pianist', 2002, 150, 'Biography, Drama, Music', 8.5, 'Roman Polanski', 'Adrien Brody', 'Thomas Kretschmann'),
+('Gladiator', 2000, 155, 'Action, Adventure, Drama', 8.5, 'Ridley Scott', 'Russell Crowe', 'Joaquin Phoenix'),
+('American History X', 1998, 119, 'Drama', 8.5, 'Tony Kaye', 'Edward Norton', 'Edward Furlong'),
+('The Usual Suspects', 1995, 106, 'Crime, Mystery, Thriller', 8.5, 'Bryan Singer', 'Kevin Spacey', 'Gabriel Byrne'),
+('Léon', 1994, 110, 'Action, Crime, Drama', 8.5, 'Luc Besson', 'Jean Reno', 'Gary Oldman'),
+('The Lion King', 1994, 88, 'Animation, Adventure, Drama', 8.5, 'Roger Allers', 'Rob Minkoff', 'Matthew Broderick'),
+('Terminator 2: Judgment Day', 1991, 137, 'Action, Sci-Fi', 8.5, 'James Cameron', 'Arnold Schwarzenegger', 'Linda Hamilton'),
+('Nuovo Cinema Paradiso', 1988, 155, 'Drama, Romance', 8.5, 'Giuseppe Tornatore', 'Philippe Noiret', 'Enzo Cannavale'),
+('Hotaru no haka', 1988, 89, 'Animation, Drama, War', 8.5, 'Isao Takahata', 'Tsutomu Tatsumi', 'Ayano Shiraishi'),
+('Back to the Future', 1985, 116, 'Adventure, Comedy, Sci-Fi', 8.5, 'Robert Zemeckis', 'Michael J. Fox', 'Christopher Lloyd'),
+('Once Upon a Time in the West', 1968, 165, 'Western', 8.5, 'Sergio Leone', 'Henry Fonda', 'Charles Bronson'),
+('Psycho', 1960, 109, 'Horror, Mystery, Thriller', 8.5, 'Alfred Hitchcock', 'Anthony Perkins', 'Janet Leigh'),
+('Casablanca', 1942, 102, 'Drama, Romance, War', 8.5, 'Michael Curtiz', 'Humphrey Bogart', 'Ingrid Bergman'),
+('Modern Times', 1936, 87, 'Comedy, Drama, Family', 8.5, 'Charles Chaplin', 'Charles Chaplin', 'Paulette Goddard'),
+('City Lights', 1931, 87, 'Comedy, Drama, Romance', 8.5, 'Charles Chaplin', 'Charles Chaplin', 'Virginia Cherrill'),
+('Capharnaüm', 2018, 126, 'Drama', 8.4, 'Nadine Labaki', 'Zain Al Rafeea', 'Yordanos Shiferaw'),
+('Ayla: The Daughter of War', 2017, 125, 'Biography, Drama, History', 8.4, 'Can Ulkay', 'Erdem Can', 'Çetin Tekindor'),
+('Vikram Vedha', 2017, 147, 'Action, Crime, Drama', 8.4, 'Gayatri', 'Pushkar', 'Madhavan'),
+('Kimi no na wa.', 2016, 106, 'Animation, Drama, Fantasy', 8.4, 'Makoto Shinkai', 'Ryûnosuke Kamiki', 'Mone Kamishiraishi'),
+('Dangal', 2016, 161, 'Action, Biography, Drama', 8.4, 'Nitesh Tiwari', 'Aamir Khan', 'Sakshi Tanwar'),
+('Spider-Man: Into the Spider-Verse', 2018, 117, 'Animation, Action, Adventure', 8.4, 'Bob Persichetti', 'Peter Ramsey', 'Rodney Rothman'),
+('Avengers: Endgame', 2019, 181, 'Action, Adventure, Drama', 8.4, 'Anthony Russo', 'Joe Russo', 'Robert Downey Jr.'),
+('Avengers: Infinity War', 2018, 149, 'Action, Adventure, Sci-Fi', 8.4, 'Anthony Russo', 'Joe Russo', 'Robert Downey Jr.'),
+('Coco', 2017, 105, 'Animation, Adventure, Family', 8.4, 'Lee Unkrich', 'Adrian Molina', 'Anthony Gonzalez'),
+('Django Unchained', 2012, 165, 'Drama, Western', 8.4, 'Quentin Tarantino', 'Jamie Foxx', 'Christoph Waltz'),
+('The Dark Knight Rises', 2012, 164, 'Action, Adventure', 8.4, 'Christopher Nolan', 'Christian Bale', 'Tom Hardy'),
+('3 Idiots', 2009, 170, 'Comedy, Drama', 8.4, 'Rajkumar Hirani', 'Aamir Khan', 'Madhavan'),
+('Taare Zameen Par', 2007, 165, 'Drama, Family', 8.4, 'Aamir Khan', 'Amole Gupte', 'Darsheel Safary'),
+('WALL·E', 2008, 98, 'Animation, Adventure, Family', 8.4, 'Andrew Stanton', 'Ben Burtt', 'Elissa Knight'),
+('The Lives of Others', 2006, 137, 'Drama, Mystery, Thriller', 8.4, 'Florian Henckel von Donnersmarck', 'Ulrich Mühe', 'Martina Gedeck'),
+('Oldeuboi', 2003, 101, 'Action, Drama, Mystery', 8.4, 'Chan-wook Park', 'Choi Min-sik', 'Yoo Ji-Tae'),
+('Memento', 2000, 113, 'Mystery, Thriller', 8.4, 'Christopher Nolan', 'Guy Pearce', 'Carrie-Anne Moss'),
+('Mononoke-hime', 1997, 134, 'Animation, Action, Adventure', 8.4, 'Hayao Miyazaki', 'Yôji Matsuda', 'Yuriko Ishida'),
+('Once Upon a Time in America', 1984, 229, 'Crime, Drama', 8.4, 'Sergio Leone', 'Robert De Niro', 'James Woods'),
+('Raiders of the Lost Ark', 1981, 115, 'Action, Adventure', 8.4, 'Steven Spielberg', 'Harrison Ford', 'Karen Allen'),
+('The Shining', 1980, 146, 'Drama, Horror', 8.4, 'Stanley Kubrick', 'Jack Nicholson', 'Shelley Duvall'),
+('Apocalypse Now', 1979, 147, 'Drama, Mystery, War', 8.4, 'Francis Ford Coppola', 'Martin Sheen', 'Marlon Brando'),
+('Alien', 1979, 117, 'Horror, Sci-Fi', 8.4, 'Ridley Scott', 'Sigourney Weaver', 'Tom Skerritt'),
+('Anand', 1971, 122, 'Drama, Musical', 8.4, 'Hrishikesh Mukherjee', 'Rajesh Khanna', 'Amitabh Bachchan'),
+('Tengoku to jigoku', 1963, 143, 'Crime, Drama, Mystery', 8.4, 'Akira Kurosawa', 'Toshirô Mifune', 'Yutaka Sada'),
+('Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb', 1964, 95, 'Comedy', 8.4, 'Stanley Kubrick', 'Peter Sellers', 'George C. Scott'),
+('Witness for the Prosecution', 1957, 116, 'Crime, Drama, Mystery', 8.4, 'Billy Wilder', 'Tyrone Power', 'Marlene Dietrich'),
+('Paths of Glory', 1957, 88, 'Drama, War', 8.4, 'Stanley Kubrick', 'Kirk Douglas', 'Ralph Meeker'),
+('Rear Window', 1954, 112, 'Mystery, Thriller', 8.4, 'Alfred Hitchcock', 'James Stewart', 'Grace Kelly'),
+('Sunset Blvd.', 1950, 110, 'Drama, Film-Noir', 8.4, 'Billy Wilder', 'William Holden', 'Gloria Swanson'),
+('The Great Dictator', 1940, 125, 'Comedy, Drama, War', 8.4, 'Charles Chaplin', 'Charles Chaplin', 'Paulette Goddard'),
+('1917', 2019, 119, 'Drama, Thriller, War', 8.3, 'Sam Mendes', 'Dean-Charles Chapman', 'George MacKay'),
+('Tumbbad', 2018, 104, 'Drama, Fantasy, Horror', 8.3, 'Rahi Anil Barve', 'Anand Gandhi', 'Adesh Prasad'),
+('Andhadhun', 2018, 139, 'Crime, Drama, Music', 8.3, 'Sriram Raghavan', 'Ayushmann Khurrana', 'Tabu'),
+('Drishyam', 2013, 160, 'Crime, Drama, Thriller', 8.3, 'Jeethu Joseph', 'Mohanlal', 'Meena'),
+('Jagten', 2012, 115, 'Drama', 8.3, 'Thomas Vinterberg', 'Mads Mikkelsen', 'Thomas Bo Larsen'),
+('Jodaeiye Nader az Simin', 2011, 123, 'Drama', 8.3, 'Asghar Farhadi', 'Payman Maadi', 'Leila Hatami'),
+('Incendies', 2010, 131, 'Drama, Mystery, War', 8.3, 'Denis Villeneuve', 'Lubna Azabal', 'Mélissa Désormeaux-Poulin'),
+('Miracle in cell NO.7', 2019, 132, 'Drama', 8.3, 'Mehmet Ada Öztekin', 'Aras Bulut Iynemli', 'Nisa Sofiya Aksongur'),
+('Babam ve Oglum', 2005, 112, 'Drama, Family', 8.3, 'Çagan Irmak', 'Çetin Tekindor', 'Fikret Kuskan'),
+('Inglourious Basterds', 2009, 153, 'Adventure, Drama, War', 8.3, 'Quentin Tarantino', 'Brad Pitt', 'Diane Kruger'),
+('Eternal Sunshine of the Spotless Mind', 2004, 108, 'Drama, Romance, Sci-Fi', 8.3, 'Michel Gondry', 'Jim Carrey', 'Kate Winslet'),
+('Amélie', 2001, 122, 'Comedy, Romance', 8.3, 'Jean-Pierre Jeunet', 'Audrey Tautou', 'Mathieu Kassovitz'),
+('Snatch', 2000, 104, 'Comedy, Crime', 8.3, 'Guy Ritchie', 'Jason Statham', 'Brad Pitt'),
+('Requiem for a Dream', 2000, 102, 'Drama', 8.3, 'Darren Aronofsky', 'Ellen Burstyn', 'Jared Leto'),
+('American Beauty', 1999, 122, 'Drama', 8.3, 'Sam Mendes', 'Kevin Spacey', 'Annette Bening'),
+('Good Will Hunting', 1997, 126, 'Drama, Romance', 8.3, 'Gus Van Sant', 'Robin Williams', 'Matt Damon'),
+('Bacheha-Ye aseman', 1997, 89, 'Drama, Family, Sport', 8.3, 'Majid Majidi', 'Mohammad Amir Naji', 'Amir Farrokh Hashemian'),
+('Toy Story', 1995, 81, 'Animation, Adventure, Comedy', 8.3, 'John Lasseter', 'Tom Hanks', 'Tim Allen'),
+('Braveheart', 1995, 178, 'Biography, Drama, History', 8.3, 'Mel Gibson', 'Mel Gibson', 'Sophie Marceau'),
+('Reservoir Dogs', 1992, 99, 'Crime, Drama, Thriller', 8.3, 'Quentin Tarantino', 'Harvey Keitel', 'Tim Roth'),
+('Full Metal Jacket', 1987, 116, 'Drama, War', 8.3, 'Stanley Kubrick', 'Matthew Modine', 'R. Lee Ermey'),
+('Idi i smotri', 1985, 142, 'Drama, Thriller, War', 8.3, 'Elem Klimov', 'Aleksey Kravchenko', 'Olga Mironova'),
+('Aliens', 1986, 137, 'Action, Adventure, Sci-Fi', 8.3, 'James Cameron', 'Sigourney Weaver', 'Michael Biehn'),
+('Amadeus', 1984, 160, 'Biography, Drama, History', 8.3, 'Milos Forman', 'F. Murray Abraham', 'Tom Hulce'),
+('Scarface', 1983, 170, 'Crime, Drama', 8.3, 'Brian De Palma', 'Al Pacino', 'Michelle Pfeiffer'),
+('Star Wars: Episode VI - Return of the Jedi', 1983, 131, 'Action, Adventure, Fantasy', 8.3, 'Richard Marquand', 'Mark Hamill', 'Harrison Ford'),
+('Das Boot', 1981, 149, 'Adventure, Drama, Thriller', 8.3, 'Wolfgang Petersen', 'Jürgen Prochnow', 'Herbert Grönemeyer'),
+('Taxi Driver', 1976, 114, 'Crime, Drama', 8.3, 'Martin Scorsese', 'Robert De Niro', 'Jodie Foster'),
+('The Sting', 1973, 129, 'Comedy, Crime, Drama', 8.3, 'George Roy Hill', 'Paul Newman', 'Robert Redford'),
+('A Clockwork Orange', 1971, 136, 'Crime, Drama, Sci-Fi', 8.3, 'Stanley Kubrick', 'Malcolm McDowell', 'Patrick Magee'),
+('2001: A Space Odyssey', 1968, 149, 'Adventure, Sci-Fi', 8.3, 'Stanley Kubrick', 'Keir Dullea', 'Gary Lockwood'),
+('Per qualche dollaro in più', 1965, 132, 'Western', 8.3, 'Sergio Leone', 'Clint Eastwood', 'Lee Van Cleef'),
+('Lawrence of Arabia', 1962, 228, 'Adventure, Biography, Drama', 8.3, 'David Lean', 'Peter O''Toole', 'Alec Guinness'),
+('The Apartment', 1960, 125, 'Comedy, Drama, Romance', 8.3, 'Billy Wilder', 'Jack Lemmon', 'Shirley MacLaine'),
+('North by Northwest', 1959, 136, 'Adventure, Mystery, Thriller', 8.3, 'Alfred Hitchcock', 'Cary Grant', 'Eva Marie Saint'),
+('Vertigo', 1958, 128, 'Mystery, Romance, Thriller', 8.3, 'Alfred Hitchcock', 'James Stewart', 'Kim Novak'),
+('Singin'' in the Rain', 1952, 103, 'Comedy, Musical, Romance', 8.3, 'Stanley Donen', 'Gene Kelly', 'Gene Kelly'),
+('Ikiru', 1952, 143, 'Drama', 8.3, 'Akira Kurosawa', 'Takashi Shimura', 'Nobuo Kaneko'),
+('Ladri di biciclette', 1948, 89, 'Drama', 8.3, 'Vittorio De Sica', 'Lamberto Maggiorani', 'Enzo Staiola'),
+('Double Indemnity', 1944, 107, 'Crime, Drama, Film-Noir', 8.3, 'Billy Wilder', 'Fred MacMurray', 'Barbara Stanwyck'),
+('Citizen Kane', 1941, 119, 'Drama, Mystery', 8.3, 'Orson Welles', 'Orson Welles', 'Joseph Cotten'),
+('M - Eine Stadt sucht einen Mörder', 1931, 117, 'Crime, Mystery, Thriller', 8.3, 'Fritz Lang', 'Peter Lorre', 'Ellen Widmann'),
+('Metropolis', 1927, 153, 'Drama, Sci-Fi', 8.3, 'Fritz Lang', 'Brigitte Helm', 'Alfred Abel'),
+('The Kid', 1921, 68, 'Comedy, Drama, Family', 8.3, 'Charles Chaplin', 'Charles Chaplin', 'Edna Purviance'),
+('Chhichhore', 2019, 143, 'Comedy, Drama', 8.2, 'Nitesh Tiwari', 'Sushant Singh Rajput', 'Shraddha Kapoor'),
+('Uri: The Surgical Strike', 2018, 138, 'Action, Drama, War', 8.2, 'Aditya Dhar', 'Vicky Kaushal', 'Paresh Rawal'),
+('K.G.F: Chapter 1', 2018, 156, 'Action, Drama', 8.2, 'Prashanth Neel', 'Yash', 'Srinidhi Shetty'),
+('Green Book', 2018, 130, 'Biography, Comedy, Drama', 8.2, 'Peter Farrelly', 'Viggo Mortensen', 'Mahershala Ali'),
+('Three Billboards Outside Ebbing, Missouri', 2017, 115, 'Comedy, Crime, Drama', 8.2, 'Martin McDonagh', 'Frances McDormand', 'Woody Harrelson'),
+('Talvar', 2015, 132, 'Crime, Drama, Mystery', 8.2, 'Meghna Gulzar', 'Irrfan Khan', 'Konkona Sen Sharma'),
+('Baahubali 2: The Conclusion', 2017, 167, 'Action, Drama', 8.2, 'S.S. Rajamouli', 'Prabhas', 'Rana Daggubati'),
+('Klaus', 2019, 96, 'Animation, Adventure, Comedy', 8.2, 'Sergio Pablos', 'Carlos MartÃnez López', 'Jason Schwartzman'),
+('Drishyam', 2015, 163, 'Crime, Drama, Mystery', 8.2, 'Nishikant Kamat', 'Ajay Devgn', 'Shriya Saran'),
+('Queen', 2013, 146, 'Adventure, Comedy, Drama', 8.2, 'Vikas Bahl', 'Kangana Ranaut', 'Rajkummar Rao'),
+('Mandariinid', 2013, 87, 'Drama, War', 8.2, 'Zaza Urushadze', 'Lembit Ulfsak', 'Elmo Nüganen'),
+('Bhaag Milkha Bhaag', 2013, 186, 'Biography, Drama, Sport', 8.2, 'Rakeysh Omprakash Mehra', 'Farhan Akhtar', 'Sonam Kapoor'),
+('Gangs of Wasseypur', 2012, 321, 'Action, Comedy, Crime', 8.2, 'Anurag Kashyap', 'Manoj Bajpayee', 'Richa Chadha'),
+('Udaan', 2010, 134, 'Drama', 8.2, 'Vikramaditya Motwane', 'Rajat Barmecha', 'Ronit Roy'),
+('Paan Singh Tomar', 2012, 135, 'Action, Biography, Crime', 8.2, 'Tigmanshu Dhulia', 'Irrfan Khan', 'Mahie Gill'),
+('El secreto de sus ojos', 2009, 129, 'Drama, Mystery, Romance', 8.2, 'Juan José Campanella', 'Ricardo DarÃn', 'Soledad Villamil'),
+('Warrior', 2011, 140, 'Action, Drama, Sport', 8.2, 'Gavin O''Connor', 'Tom Hardy', 'Nick Nolte'),
+('Shutter Island', 2010, 138, 'Mystery, Thriller', 8.2, 'Martin Scorsese', 'Leonardo DiCaprio', 'Emily Mortimer'),
+('Up', 2009, 96, 'Animation, Adventure, Comedy', 8.2, 'Pete Docter', 'Bob Peterson', 'Edward Asner'),
+('The Wolf of Wall Street', 2013, 180, 'Biography, Crime, Drama', 8.2, 'Martin Scorsese', 'Leonardo DiCaprio', 'Jonah Hill'),
+('Chak De! India', 2007, 153, 'Drama, Family, Sport', 8.2, 'Shimit Amin', 'Shah Rukh Khan', 'Vidya Malvade'),
+('There Will Be Blood', 2007, 158, 'Drama', 8.2, 'Paul Thomas Anderson', 'Daniel Day-Lewis', 'Paul Dano'),
+('Pan''s Labyrinth', 2006, 118, 'Drama, Fantasy, War', 8.2, 'Guillermo del Toro', 'Ivana Baquero', 'Ariadna Gil'),
+('Toy Story 3', 2010, 103, 'Animation, Adventure, Comedy', 8.2, 'Lee Unkrich', 'Tom Hanks', 'Tim Allen'),
+('V for Vendetta', 2005, 132, 'Action, Drama, Sci-Fi', 8.2, 'James McTeigue', 'Hugo Weaving', 'Natalie Portman'),
+('Rang De Basanti', 2006, 167, 'Comedy, Crime, Drama', 8.2, 'Rakeysh Omprakash Mehra', 'Aamir Khan', 'Soha Ali Khan'),
+('Black', 2005, 122, 'Drama', 8.2, 'Sanjay Leela Bhansali', 'Amitabh Bachchan', 'Rani Mukerji'),
+('Batman Begins', 2005, 140, 'Action, Adventure', 8.2, 'Christopher Nolan', 'Christian Bale', 'Michael Caine'),
+('Swades: We, the People', 2004, 210, 'Drama', 8.2, 'Ashutosh Gowariker', 'Shah Rukh Khan', 'Gayatri Joshi'),
+('Der Untergang', 2004, 156, 'Biography, Drama, History', 8.2, 'Oliver Hirschbiegel', 'Bruno Ganz', 'Alexandra Maria Lara'),
+('Hauru no ugoku shiro', 2004, 119, 'Animation, Adventure, Family', 8.2, 'Hayao Miyazaki', 'Chieko Baishô', 'Takuya Kimura'),
+('A Beautiful Mind', 2001, 135, 'Biography, Drama', 8.2, 'Ron Howard', 'Russell Crowe', 'Ed Harris'),
+('Hera Pheri', 2000, 156, 'Action, Comedy, Crime', 8.2, 'Priyadarshan', 'Akshay Kumar', 'Sunil Shetty'),
+('Lock, Stock and Two Smoking Barrels', 1998, 107, 'Action, Comedy, Crime', 8.2, 'Guy Ritchie', 'Jason Flemyng', 'Dexter Fletcher'),
+('L.A. Confidential', 1997, 138, 'Crime, Drama, Mystery', 8.2, 'Curtis Hanson', 'Kevin Spacey', 'Russell Crowe'),
+('Eskiya', 1996, 128, 'Crime, Drama, Thriller', 8.2, 'Yavuz Turgul', 'Sener Sen', 'Ugur Yücel'),
+('Heat', 1995, 170, 'Crime, Drama, Thriller', 8.2, 'Michael Mann', 'Al Pacino', 'Robert De Niro'),
+('Casino', 1995, 178, 'Crime, Drama', 8.2, 'Martin Scorsese', 'Robert De Niro', 'Sharon Stone'),
+('Andaz Apna Apna', 1994, 160, 'Action, Comedy, Romance', 8.2, 'Rajkumar Santoshi', 'Aamir Khan', 'Salman Khan'),
+('Unforgiven', 1992, 130, 'Drama, Western', 8.2, 'Clint Eastwood', 'Clint Eastwood', 'Gene Hackman'),
+('Indiana Jones and the Last Crusade', 1989, 127, 'Action, Adventure', 8.2, 'Steven Spielberg', 'Harrison Ford', 'Sean Connery'),
+('Dom za vesanje', 1988, 142, 'Comedy, Crime, Drama', 8.2, 'Emir Kusturica', 'Davor Dujmovic', 'Bora Todorovic'),
+('Tonari no Totoro', 1988, 86, 'Animation, Family, Fantasy', 8.2, 'Hayao Miyazaki', 'Hitoshi Takagi', 'Noriko Hidaka'),
+('Die Hard', 1988, 132, 'Action, Thriller', 8.2, 'John McTiernan', 'Bruce Willis', 'Alan Rickman'),
+('Ran', 1985, 162, 'Action, Drama, War', 8.2, 'Akira Kurosawa', 'Tatsuya Nakadai', 'Akira Terao'),
+('Raging Bull', 1980, 129, 'Biography, Drama, Sport', 8.2, 'Martin Scorsese', 'Robert De Niro', 'Cathy Moriarty'),
+('Stalker', 1979, 162, 'Drama, Sci-Fi', 8.2, 'Andrei Tarkovsky', 'Alisa Freyndlikh', 'Aleksandr Kaydanovskiy'),
+('Höstsonaten', 1978, 99, 'Drama, Music', 8.2, 'Ingmar Bergman', 'Ingrid Bergman', 'Liv Ullmann'),
+('The Message', 1976, 177, 'Biography, Drama, History', 8.2, 'Moustapha Akkad', 'Anthony Quinn', 'Irene Papas'),
+('Sholay', 1975, 204, 'Action, Adventure, Comedy', 8.2, 'Ramesh Sippy', 'Sanjeev Kumar', 'Dharmendra'),
+('Monty Python and the Holy Grail', 1975, 91, 'Adventure, Comedy, Fantasy', 8.2, 'Terry Gilliam', 'Terry Jones', 'Graham Chapman'),
+('The Great Escape', 1963, 172, 'Adventure, Drama, History', 8.2, 'John Sturges', 'Steve McQueen', 'James Garner'),
+('To Kill a Mockingbird', 1962, 129, 'Crime, Drama', 8.2, 'Robert Mulligan', 'Gregory Peck', 'John Megna'),
+('Yôjinbô', 1961, 110, 'Action, Drama, Thriller', 8.2, 'Akira Kurosawa', 'Toshirô Mifune', 'Eijirô Tôno'),
+('Judgment at Nuremberg', 1961, 179, 'Drama, War', 8.2, 'Stanley Kramer', 'Spencer Tracy', 'Burt Lancaster'),
+('Some Like It Hot', 1959, 121, 'Comedy, Music, Romance', 8.2, 'Billy Wilder', 'Marilyn Monroe', 'Tony Curtis'),
+('Smultronstället', 1957, 91, 'Drama, Romance', 8.2, 'Ingmar Bergman', 'Victor Sjöström', 'Bibi Andersson'),
+('Det sjunde inseglet', 1957, 96, 'Drama, Fantasy, History', 8.2, 'Ingmar Bergman', 'Max von Sydow', 'Gunnar Björnstrand'),
+('Du rififi chez les hommes', 1955, 118, 'Crime, Drama, Thriller', 8.2, 'Jules Dassin', 'Jean Servais', 'Carl Möhner'),
+('Dial M for Murder', 1954, 105, 'Crime, Thriller', 8.2, 'Alfred Hitchcock', 'Ray Milland', 'Grace Kelly'),
+('Tôkyô monogatari', 1953, 136, 'Drama', 8.2, 'Yasujirô Ozu', 'Chishû Ryû', 'Chieko Higashiyama'),
+('Rashômon', 1950, 88, 'Crime, Drama, Mystery', 8.2, 'Akira Kurosawa', 'Toshirô Mifune', 'Machiko Kyô'),
+('All About Eve', 1950, 138, 'Drama', 8.2, 'Joseph L. Mankiewicz', 'Bette Davis', 'Anne Baxter'),
+('The Treasure of the Sierra Madre', 1948, 126, 'Adventure, Drama, Western', 8.2, 'John Huston', 'Humphrey Bogart', 'Walter Huston'),
+('To Be or Not to Be', 1942, 99, 'Comedy, War', 8.2, 'Ernst Lubitsch', 'Carole Lombard', 'Jack Benny'),
+('The Gold Rush', 1925, 95, 'Adventure, Comedy, Drama', 8.2, 'Charles Chaplin', 'Charles Chaplin', 'Mack Swain'),
+('Sherlock Jr.', 1924, 45, 'Action, Comedy, Romance', 8.2, 'Buster Keaton', 'Buster Keaton', 'Kathryn McGuire'),
+('Portrait de la jeune fille en feu', 2019, 122, 'Drama, Romance', 8.1, 'Céline Sciamma', 'Noémie Merlant', 'Adèle Haenel'),
+('Pink', 2016, 136, 'Drama, Thriller', 8.1, 'Aniruddha Roy Chowdhury', 'Taapsee Pannu', 'Amitabh Bachchan'),
+('Koe no katachi', 2016, 130, 'Animation, Drama, Family', 8.1, 'Naoko Yamada', 'Miyu Irino', 'Saori Hayami'),
+('Contratiempo', 2016, 106, 'Crime, Drama, Mystery', 8.1, 'Oriol Paulo', 'Mario Casas', 'Ana Wagener'),
+('Ah-ga-ssi', 2016, 145, 'Drama, Romance, Thriller', 8.1, 'Chan-wook Park', 'Kim Min-hee', 'Jung-woo Ha'),
+('Mommy', 2014, 139, 'Drama', 8.1, 'Xavier Dolan', 'Anne Dorval', 'Antoine Olivier Pilon'),
+('Haider', 2014, 160, 'Action, Crime, Drama', 8.1, 'Vishal Bhardwaj', 'Shahid Kapoor', 'Tabu'),
+('Logan', 2017, 137, 'Action, Drama, Sci-Fi', 8.1, 'James Mangold', 'Hugh Jackman', 'Patrick Stewart'),
+('Room', 2015, 118, 'Drama, Thriller', 8.1, 'Lenny Abrahamson', 'Brie Larson', 'Jacob Tremblay'),
+('Relatos salvajes', 2014, 122, 'Comedy, Drama, Thriller', 8.1, 'Damián Szifron', 'DarÃo Grandinetti', 'MarÃa Marull'),
+('Soul', 2020, 100, 'Animation, Adventure, Comedy', 8.1, 'Pete Docter', 'Kemp Powers', 'Jamie Foxx'),
+('Kis Uykusu', 2014, 196, 'Drama', 8.1, 'Nuri Bilge Ceylan', 'Haluk Bilginer', 'Melisa Sözen'),
+('PK', 2014, 153, 'Comedy, Drama, Musical', 8.1, 'Rajkumar Hirani', 'Aamir Khan', 'Anushka Sharma'),
+('OMG: Oh My God!', 2012, 125, 'Comedy, Drama, Fantasy', 8.1, 'Umesh Shukla', 'Paresh Rawal', 'Akshay Kumar'),
+('The Grand Budapest Hotel', 2014, 99, 'Adventure, Comedy, Crime', 8.1, 'Wes Anderson', 'Ralph Fiennes', 'F. Murray Abraham'),
+('Gone Girl', 2014, 149, 'Drama, Mystery, Thriller', 8.1, 'David Fincher', 'Ben Affleck', 'Rosamund Pike'),
+('Ôkami kodomo no Ame to Yuki', 2012, 117, 'Animation, Drama, Fantasy', 8.1, 'Mamoru Hosoda', 'Aoi Miyazaki', 'Takao Osawa'),
+('Hacksaw Ridge', 2016, 139, 'Biography, Drama, History', 8.1, 'Mel Gibson', 'Andrew Garfield', 'Sam Worthington'),
+('Inside Out', 2015, 95, 'Animation, Adventure, Comedy', 8.1, 'Pete Docter', 'Ronnie Del Carmen', 'Amy Poehler'),
+('Barfi!', 2012, 151, 'Comedy, Drama, Romance', 8.1, 'Anurag Basu', 'Ranbir Kapoor', 'Priyanka Chopra'),
+('12 Years a Slave', 2013, 134, 'Biography, Drama, History', 8.1, 'Steve McQueen', 'Chiwetel Ejiofor', 'Michael Kenneth Williams'),
+('Rush', 2013, 123, 'Action, Biography, Drama', 8.1, 'Ron Howard', 'Daniel Brühl', 'Chris Hemsworth'),
+('Ford v Ferrari', 2019, 152, 'Action, Biography, Drama', 8.1, 'James Mangold', 'Matt Damon', 'Christian Bale'),
+('Spotlight', 2015, 129, 'Biography, Crime, Drama', 8.1, 'Tom McCarthy', 'Mark Ruffalo', 'Michael Keaton'),
+('Song of the Sea', 2014, 93, 'Animation, Adventure, Drama', 8.1, 'Tomm Moore', 'David Rawle', 'Brendan Gleeson'),
+('Kahaani', 2012, 122, 'Mystery, Thriller', 8.1, 'Sujoy Ghosh', 'Vidya Balan', 'Parambrata Chattopadhyay'),
+('Zindagi Na Milegi Dobara', 2011, 155, 'Comedy, Drama', 8.1, 'Zoya Akhtar', 'Hrithik Roshan', 'Farhan Akhtar'),
+('Prisoners', 2013, 153, 'Crime, Drama, Mystery', 8.1, 'Denis Villeneuve', 'Hugh Jackman', 'Jake Gyllenhaal'),
+('Mad Max: Fury Road', 2015, 120, 'Action, Adventure, Sci-Fi', 8.1, 'George Miller', 'Tom Hardy', 'Charlize Theron'),
+('A Wednesday', 2008, 104, 'Action, Crime, Drama', 8.1, 'Neeraj Pandey', 'Anupam Kher', 'Naseeruddin Shah'),
+('Gran Torino', 2008, 116, 'Drama', 8.1, 'Clint Eastwood', 'Clint Eastwood', 'Bee Vang'),
+('Harry Potter and the Deathly Hallows: Part 2', 2011, 130, 'Adventure, Drama, Fantasy', 8.1, 'David Yates', 'Daniel Radcliffe', 'Emma Watson'),
+('Okuribito', 2008, 130, 'Drama, Music', 8.1, 'Yôjirô Takita', 'Masahiro Motoki', 'Ryôko Hirosue'),
+('Hachi: A Dog''s Tale', 2009, 93, 'Biography, Drama, Family', 8.1, 'Lasse Hallström', 'Richard Gere', 'Joan Allen'),
+('Mary and Max', 2009, 92, 'Animation, Comedy, Drama', 8.1, 'Adam Elliot', 'Toni Collette', 'Philip Seymour Hoffman'),
+('How to Train Your Dragon', 2010, 98, 'Animation, Action, Adventure', 8.1, 'Dean DeBlois', 'Chris Sanders', 'Jay Baruchel'),
+('Into the Wild', 2007, 148, 'Adventure, Biography, Drama', 8.1, 'Sean Penn', 'Emile Hirsch', 'Vince Vaughn'),
+('No Country for Old Men', 2007, 122, 'Crime, Drama, Thriller', 8.1, 'Ethan Coen', 'Joel Coen', 'Tommy Lee Jones'),
+('Lage Raho Munna Bhai', 2006, 144, 'Comedy, Drama, Romance', 8.1, 'Rajkumar Hirani', 'Sanjay Dutt', 'Arshad Warsi'),
+('Million Dollar Baby', 2004, 132, 'Drama, Sport', 8.1, 'Clint Eastwood', 'Hilary Swank', 'Clint Eastwood'),
+('Hotel Rwanda', 2004, 121, 'Biography, Drama, History', 8.1, 'Terry George', 'Don Cheadle', 'Sophie Okonedo'),
+('Taegukgi hwinalrimyeo', 2004, 140, 'Action, Drama, War', 8.1, 'Je-kyu Kang', 'Jang Dong-Gun', 'Won Bin'),
+('Before Sunset', 2004, 80, 'Drama, Romance', 8.1, 'Richard Linklater', 'Ethan Hawke', 'Julie Delpy'),
+('Munna Bhai M.B.B.S.', 2003, 156, 'Comedy, Drama, Musical', 8.1, 'Rajkumar Hirani', 'Sanjay Dutt', 'Arshad Warsi'),
+('Salinui chueok', 2003, 131, 'Crime, Drama, Mystery', 8.1, 'Bong Joon Ho', 'Kang-ho Song', 'Kim Sang-kyung'),
+('Dil Chahta Hai', 2001, 183, 'Comedy, Drama, Romance', 8.1, 'Farhan Akhtar', 'Aamir Khan', 'Saif Ali Khan'),
+('Kill Bill: Vol. 1', 2003, 111, 'Action, Crime, Drama', 8.1, 'Quentin Tarantino', 'Uma Thurman', 'David Carradine'),
+('Finding Nemo', 2003, 100, 'Animation, Adventure, Comedy', 8.1, 'Andrew Stanton', 'Lee Unkrich', 'Albert Brooks'),
+('Catch Me If You Can', 2002, 141, 'Biography, Crime, Drama', 8.1, 'Steven Spielberg', 'Leonardo DiCaprio', 'Tom Hanks'),
+('Amores perros', 2000, 154, 'Drama, Thriller', 8.1, 'Alejandro G. Iñárritu', 'Emilio EchevarrÃa', 'Gael GarcÃa Bernal'),
+('Monsters, Inc.', 2001, 92, 'Animation, Adventure, Comedy', 8.1, 'Pete Docter', 'David Silverman', 'Lee Unkrich'),
+('Shin seiki Evangelion Gekijô-ban: Air/Magokoro wo, kimi ni', 1997, 87, 'Animation, Action, Drama', 8.1, 'Hideaki Anno', 'Kazuya Tsurumaki', 'Megumi Ogata'),
+('Lagaan: Once Upon a Time in India', 2001, 224, 'Adventure, Drama, Musical', 8.1, 'Ashutosh Gowariker', 'Aamir Khan', 'Raghuvir Yadav'),
+('The Sixth Sense', 1999, 107, 'Drama, Mystery, Thriller', 8.1, 'M. Night Shyamalan', 'Bruce Willis', 'Haley Joel Osment'),
+('La leggenda del pianista sull''oceano', 1998, 169, 'Drama, Music, Romance', 8.1, 'Giuseppe Tornatore', 'Tim Roth', 'Pruitt Taylor Vince'),
+('The Truman Show', 1998, 103, 'Comedy, Drama', 8.1, 'Peter Weir', 'Jim Carrey', 'Ed Harris'),
+('Crna macka, beli macor', 1998, 127, 'Comedy, Crime, Romance', 8.1, 'Emir Kusturica', 'Bajram Severdzan', 'Srdjan ''Zika'' Todorovic'),
+('The Big Lebowski', 1998, 117, 'Comedy, Crime, Sport', 8.1, 'Joel Coen', 'Ethan Coen', 'Jeff Bridges'),
+('Fa yeung nin wah', 2000, 98, 'Drama, Romance', 8.1, 'Kar-Wai Wong', 'Tony Chiu-Wai Leung', 'Maggie Cheung'),
+('Trainspotting', 1996, 93, 'Drama', 8.1, 'Danny Boyle', 'Ewan McGregor', 'Ewen Bremner'),
+('Fargo', 1996, 98, 'Crime, Drama, Thriller', 8.1, 'Joel Coen', 'Ethan Coen', 'William H. Macy'),
+('Underground', 1995, 170, 'Comedy, Drama, War', 8.1, 'Emir Kusturica', 'Predrag ''Miki'' Manojlovic', 'Lazar Ristovski'),
+('La haine', 1995, 98, 'Crime, Drama', 8.1, 'Mathieu Kassovitz', 'Vincent Cassel', 'Hubert Koundé'),
+('Dilwale Dulhania Le Jayenge', 1995, 189, 'Drama, Romance', 8.1, 'Aditya Chopra', 'Shah Rukh Khan', 'Kajol'),
+('Before Sunrise', 1995, 101, 'Drama, Romance', 8.1, 'Richard Linklater', 'Ethan Hawke', 'Julie Delpy'),
+('Trois couleurs: Rouge', 1994, 99, 'Drama, Mystery, Romance', 8.1, 'Krzysztof Kieslowski', 'Irène Jacob', 'Jean-Louis Trintignant'),
+('Chung Hing sam lam', 1994, 102, 'Comedy, Crime, Drama', 8.1, 'Kar-Wai Wong', 'Brigitte Lin', 'Takeshi Kaneshiro'),
+('Jurassic Park', 1993, 127, 'Action, Adventure, Sci-Fi', 8.1, 'Steven Spielberg', 'Sam Neill', 'Laura Dern'),
+('In the Name of the Father', 1993, 133, 'Biography, Crime, Drama', 8.1, 'Jim Sheridan', 'Daniel Day-Lewis', 'Pete Postlethwaite'),
+('Ba wang bie ji', 1993, 171, 'Drama, Music, Romance', 8.1, 'Kaige Chen', 'Leslie Cheung', 'Fengyi Zhang'),
+('Dà hóng denglong gaogao guà ', 1991, 125, 'Drama, History, Romance', 8.1, 'Yimou Zhang', 'Gong Li', 'Jingwu Ma'),
+('Dead Poets Society', 1989, 128, 'Comedy, Drama', 8.1, 'Peter Weir', 'Robin Williams', 'Robert Sean Leonard'),
+('Stand by Me', 1986, 89, 'Adventure, Drama', 8.1, 'Rob Reiner', 'Wil Wheaton', 'River Phoenix'),
+('Platoon', 1986, 120, 'Drama, War', 8.1, 'Oliver Stone', 'Charlie Sheen', 'Tom Berenger'),
+('Paris, Texas', 1984, 145, 'Drama', 8.1, 'Wim Wenders', 'Harry Dean Stanton', 'Nastassja Kinski'),
+('Kaze no tani no Naushika', 1984, 117, 'Animation, Adventure, Fantasy', 8.1, 'Hayao Miyazaki', 'Sumi Shimamoto', 'Mahito Tsujimura'),
+('The Thing', 1982, 109, 'Horror, Mystery, Sci-Fi', 8.1, 'John Carpenter', 'Kurt Russell', 'Wilford Brimley'),
+('Pink Floyd: The Wall', 1982, 95, 'Drama, Fantasy, Music', 8.1, 'Alan Parker', 'Bob Geldof', 'Christine Hargreaves'),
+('Fitzcarraldo', 1982, 158, 'Adventure, Drama', 8.1, 'Werner Herzog', 'Klaus Kinski', 'Claudia Cardinale'),
+('Fanny och Alexander', 1982, 188, 'Drama', 8.1, 'Ingmar Bergman', 'Bertil Guve', 'Pernilla Allwin'),
+('Blade Runner', 1982, 117, 'Action, Sci-Fi, Thriller', 8.1, 'Ridley Scott', 'Harrison Ford', 'Rutger Hauer'),
+('The Elephant Man', 1980, 124, 'Biography, Drama', 8.1, 'David Lynch', 'Anthony Hopkins', 'John Hurt'),
+('Life of Brian', 1979, 94, 'Comedy', 8.1, 'Terry Jones', 'Graham Chapman', 'John Cleese'),
+('The Deer Hunter', 1978, 183, 'Drama, War', 8.1, 'Michael Cimino', 'Robert De Niro', 'Christopher Walken'),
+('Rocky', 1976, 120, 'Drama, Sport', 8.1, 'John G. Avildsen', 'Sylvester Stallone', 'Talia Shire'),
+('Network', 1976, 121, 'Drama', 8.1, 'Sidney Lumet', 'Faye Dunaway', 'William Holden'),
+('Barry Lyndon', 1975, 185, 'Adventure, Drama, History', 8.1, 'Stanley Kubrick', 'Ryan O''Neal', 'Marisa Berenson'),
+('Zerkalo', 1975, 107, 'Biography, Drama', 8.1, 'Andrei Tarkovsky', 'Margarita Terekhova', 'Filipp Yankovskiy'),
+('Chinatown', 1974, 130, 'Drama, Mystery, Thriller', 8.1, 'Roman Polanski', 'Jack Nicholson', 'Faye Dunaway'),
+('Paper Moon', 1973, 102, 'Comedy, Crime, Drama', 8.1, 'Peter Bogdanovich', 'Ryan O''Neal', 'Tatum O''Neal'),
+('Viskningar och rop', 1972, 91, 'Drama', 8.1, 'Ingmar Bergman', 'Harriet Andersson', 'Liv Ullmann'),
+('Solaris', 1972, 167, 'Drama, Mystery, Sci-Fi', 8.1, 'Andrei Tarkovsky', 'Natalya Bondarchuk', 'Donatas Banionis'),
+('Le samouraï', 1967, 105, 'Crime, Drama, Mystery', 8.1, 'Jean-Pierre Melville', 'Alain Delon', 'François Périer'),
+('Cool Hand Luke', 1967, 127, 'Crime, Drama', 8.1, 'Stuart Rosenberg', 'Paul Newman', 'George Kennedy'),
+('Persona', 1966, 85, 'Drama, Thriller', 8.1, 'Ingmar Bergman', 'Bibi Andersson', 'Liv Ullmann'),
+('Andrei Rublev', 1966, 205, 'Biography, Drama, History', 8.1, 'Andrei Tarkovsky', 'Anatoliy Solonitsyn', 'Ivan Lapikov'),
+('La battaglia di Algeri', 1966, 121, 'Drama, War', 8.1, 'Gillo Pontecorvo', 'Brahim Hadjadj', 'Jean Martin'),
+('El ángel exterminador', 1962, 95, 'Drama, Fantasy', 8.1, 'Luis Buñuel', 'Silvia Pinal', 'Jacqueline Andere'),
+('What Ever Happened to Baby Jane?', 1962, 134, 'Drama, Horror, Thriller', 8.1, 'Robert Aldrich', 'Bette Davis', 'Joan Crawford'),
+('Sanjuro', 1962, 96, 'Action, Comedy, Crime', 8.1, 'Akira Kurosawa', 'Toshirô Mifune', 'Tatsuya Nakadai'),
+('The Man Who Shot Liberty Valance', 1962, 123, 'Drama, Western', 8.1, 'John Ford', 'James Stewart', 'John Wayne'),
+('Ivanovo detstvo', 1962, 95, 'Drama, War', 8.1, 'Andrei Tarkovsky', 'Eduard Abalov', 'Nikolay Burlyaev'),
+('Jungfrukällan', 1960, 89, 'Drama', 8.1, 'Ingmar Bergman', 'Max von Sydow', 'Birgitta Valberg'),
+('Inherit the Wind', 1960, 128, 'Biography, Drama, History', 8.1, 'Stanley Kramer', 'Spencer Tracy', 'Fredric March'),
+('Les quatre cents coups', 1959, 99, 'Crime, Drama', 8.1, 'François Truffaut', 'Jean-Pierre Léaud', 'Albert Rémy');
\ No newline at end of file
diff --git a/practice_2024/Seminar_1/solved_sem1.sql b/practice_2024/Seminar_1/solved_sem1.sql
new file mode 100644
index 0000000..787a192
--- /dev/null
+++ b/practice_2024/Seminar_1/solved_sem1.sql
@@ -0,0 +1,209 @@
+-- 1. Создать Ñхему sem_1:
+
+CREATE SCHEMA IF NOT EXISTS sem_1;
+
+--2. Создать таблицу sem_1.movies Ñ Ð¿Ð¾Ð»Ñми
+-- title (название фильма)
+-- release_year (год выпуÑка)
+-- duration_min (длительноÑÑ‚ÑŒ в мин)
+-- genre (жанры)
+-- rating (рейтинг)
+-- director (режиÑÑÑ‘Ñ€)
+-- star_1 (1й главный актёр)
+-- star_2 (2й главный актёр)
+
+DROP TABLE IF EXISTS sem_1.movies;
+CREATE TABLE sem_1.movies (
+ title VARCHAR(100),
+ release_year INTEGER,
+ duration_min INTEGER,
+ genre VARCHAR,
+ rating NUMERIC,
+ director VARCHAR(50),
+ star_1 VARCHAR(50),
+ star_2 VARCHAR(50)
+);
+
+--3. ПоÑмотреть метаданные о таблице и Ñтолбцах в information_schema.tables и information_schema.columns
+
+SELECT *
+FROM information_schema.tables
+WHERE table_schema = 'sem_1';
+
+SELECT *
+FROM information_schema.columns
+WHERE table_schema = 'sem_1';
+
+--4. Выведи вÑÑ‘ Ñодержимое таблицы
+SELECT *
+FROM sem_1.movies;
+
+--5. Выведи вÑе Ð½Ð°Ð·Ð²Ð°Ð½Ð¸Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð¾Ð² и их год выпуÑка
+SELECT title, release_year
+FROM sem_1.movies;
+
+--6. Выведите вÑех режиÑÑёров, вÑтречающихÑÑ Ð² таблице
+SELECT DISTINCT director
+FROM sem_1.movies;
+
+
+--7. Ð’ каком году был ÑнÑÑ‚ 'Fight Club'? ВывеÑти только год
+
+SELECT release_year
+FROM sem_1.movies
+WHERE title = 'Fight Club';
+
+--8. Выведите вÑе фильмы 'Christopher Nolan', год и рейтинг
+
+SELECT title, release_year,rating
+FROM sem_1.movies
+WHERE director = 'Christopher Nolan';
+
+--9. Выведите вÑе фильмы, в которых главную роль Ñыграл 'Christian Bale'
+
+SELECT title
+FROM sem_1.movies
+WHERE star_1 = 'Christian Bale' OR star_2 = 'Christian Bale';
+
+--10. Ðайдите вÑе комедии (Comedy) длительноÑтью меньше 2Ñ… чаÑов и Ñ Ñ€ÐµÐ¹Ñ‚Ð¸Ð½Ð³Ð¾Ð¼ не менее 8.5
+-- Выводить название фильма, год, длительноÑÑ‚ÑŒ, жанр, рейтинг
+
+SELECT title, release_year, duration_min, genre, rating
+FROM sem_1.movies
+WHERE genre LIKE '%Comedy%' AND duration_min < 120 AND rating >= 8.5;
+
+--11. Выведите вÑе фильмы, ÑнÑтые до 2010 года, в которых ÑнималÑÑ 'Leonardo DiCaprio' или 'Tom Hanks'.
+-- Выводить название фильма, год, двух главных героев
+
+SELECT title, release_year, star_1, star_2
+FROM sem_1.movies
+WHERE release_year < 2010 AND (star_1 IN ('Leonardo DiCaprio','Tom Hanks') OR star_2 IN ('Leonardo DiCaprio','Tom Hanks'));
+
+--12. Выведите вÑе фильмы жанра 'Drama'
+-- Учитывайте, как лежат данные в Ñтолбце genre
+
+SELECT *
+FROM sem_1.movies
+WHERE genre LIKE '%Drama%';
+
+--13. Выведите вÑех актёров, которых зовут Jack, Sam или John (можно только Ð´Ð»Ñ star_1).
+
+SELECT DISTINCT star_1 AS actor
+FROM sem_1.movies
+WHERE star_1 SIMILAR TO '(Jack|Sam|John) %'
+UNION
+SELECT DISTINCT star_2 AS actor
+FROM sem_1.movies
+WHERE star_2 SIMILAR TO '(Jack|Sam|John) %';
+
+--14. Выведите вÑе Ð½Ð°Ð·Ð²Ð°Ð½Ð¸Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð¾Ð², в которых ÑодержитÑÑ Ð»Ð¸Ð±Ð¾ цифра 3, либо цифра 7.
+
+SELECT DISTINCT title
+FROM sem_1.movies
+WHERE title SIMILAR TO '%(7|3)%';
+
+--15. Ðайдите кол-во фильмов, кол-во различных режиÑÑёров, Ñамый ранний и поздний год релиза
+
+SELECT COUNT(*) AS film_cnt,
+ COUNT(DISTINCT director) AS director_cnt,
+ MIN(release_year) AS min_year,
+ MAX(release_year) AS max_year
+FROM sem_1.movies;
+
+--16. Выведите Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ режиÑÑёра кол-во его фильмов. УпорÑдочить по убыванию кол-ва фильмов
+
+SELECT director, COUNT(*) AS film_cnt
+FROM sem_1.movies
+GROUP BY 1
+ORDER BY 2 desc;
+
+--17. Сколько чаÑов займёт проÑмотр вÑех фильмов 'Quentin Tarantino'?
+
+SELECT SUM(duration_min) / 60 as ans
+FROM sem_1.movies
+WHERE director = 'Quentin Tarantino';
+
+-- 18. Выведите вÑех актёров, которые были 1-м главным актёром в более чем 3Ñ… фильмах,
+-- и кол-во таких фильмов ÑоответÑтвенно
+
+SELECT star_1, COUNT(*) AS film_cnt
+FROM sem_1.movies
+GROUP BY 1
+HAVING COUNT(*) > 3;
+
+--19. Ðайдите вÑех режиÑÑёров 21го века (первый фильм был ÑнÑÑ‚ поÑле 2000го года). ВывеÑти режиÑÑёра и год первого фильма
+
+SELECT director, MIN(release_year) as first_film_year
+FROM sem_1.movies
+GROUP BY 1
+HAVING MIN(release_year) > 2000;
+
+--20. Выведите фильм Ñ Ñамым большим рейтингом
+
+SELECT *
+FROM sem_1.movies
+ORDER BY rating desc
+LIMIT 1;
+
+--21. Выведите Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ режиÑÑёра его Ñамый ранний фильм (при равенÑтве годов выводить Ñ Ð½Ð°Ð¸Ð±Ð¾Ð»ÑŒÑˆÐ¸Ð¼ рейтингом)
+-- ВывеÑти Ñтобцы режиÑÑÑ‘Ñ€, название фильма, год, рейтинг
+
+SELECT DISTINCT ON (director) director, title, release_year, rating
+FROM sem_1.movies
+ORDER BY 1, 4 desc;
+
+--22. Ðайдите кол-во и Ñредний рейтинг фильмов Ð´Ð»Ñ Ð´Ð²ÑƒÑ… категорий: фильмы 20го и 21го века
+-- Округлить до двух знаков поÑле запÑтой
+
+SELECT
+ CASE WHEN release_year <= 2000 THEN '20й век'
+ ELSE '21й век'
+ END AS category,
+ CAST(AVG(rating) AS NUMERIC(3, 2)) AS avg_rating,
+ COUNT(DISTINCT title) as film_cnt
+FROM sem_1.movies
+GROUP BY 1;
+
+
+--Работа Ñ Ð´Ð°Ñ‚Ð°Ð¼Ð¸
+
+--23. Создадим таблицу Ñ Ð¾Ð¿ÐµÑ€Ð°Ñ†Ð¸Ñми:
+
+DROP TABLE IF EXISTS sem_1.operations;
+CREATE TABLE sem_1.operations (
+ operation_id SERIAL,
+ operation_dt DATE,
+ client_rk INTEGER,
+ operation_amt INTEGER
+);
+
+INSERT INTO sem_1.operations (operation_dt, client_rk, operation_amt) VALUES
+ ('2023-12-01', 1, 1000),
+ ('2024-01-01', 2, 100),
+ ('2024-01-05', 1, 10),
+ ('2024-01-07', 5, 50),
+ ('2024-01-15', 7, 500),
+ ('2024-01-21', 3, 5000),
+ ('2024-01-31', 9, 500),
+ ('2024-02-01', 4, 500);
+;
+
+-- 24. Как найти Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ клиента Ñумму операций за поÑледний меÑÑц? (еÑли ÑÐµÐ³Ð¾Ð´Ð½Ñ 2 февралÑ, то операции Ñчитаем Ñо 2го ÑнварÑ)
+
+SELECT client_rk, SUM (operation_amt) as last_mnth_sum
+FROM sem_1.operations
+WHERE operation_dt >= current_date - interval '1 month'
+GROUP BY 1;
+
+-- 25. Как найти Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ клиента Ñреднюю Ñумму операций за текущий меÑÑц (еÑли ÑÐµÐ³Ð¾Ð´Ð½Ñ 2 февралÑ, то только за февраль)?
+
+SELECT client_rk, AVG (operation_amt) as last_mnth_sum
+FROM sem_1.operations
+WHERE DATE_TRUNC('month', operation_dt) = DATE_TRUNC('month', current_date)
+GROUP BY 1;
+
+--26. Ðайдите Ñумму платежей в каждом квартале
+
+SELECT TO_CHAR(operation_dt, 'YYYY"-Q"Q') as quarter, SUM(operation_amt)
+FROM sem_1.operations
+GROUP BY 1
\ No newline at end of file
diff --git a/practice_2024/Seminar_1/tasks_sem1.sql b/practice_2024/Seminar_1/tasks_sem1.sql
new file mode 100644
index 0000000..2ecbd27
--- /dev/null
+++ b/practice_2024/Seminar_1/tasks_sem1.sql
@@ -0,0 +1,109 @@
+-- 1. Создать Ñхему sem_1:
+
+--2. Создать таблицу sem_1.movies Ñ Ð¿Ð¾Ð»Ñми
+-- title (название фильма)
+-- release_year (год выпуÑка)
+-- duration_min (длительноÑÑ‚ÑŒ в мин)
+-- genre (жанры)
+-- rating (рейтинг)
+-- director (режиÑÑÑ‘Ñ€)
+-- star_1 (1й главный актёр)
+-- star_2 (2й главный актёр)
+
+-- И запуÑтить операции вÑтавки (из отдельного файла)
+
+--3. ПоÑмотреть метаданные о таблице и Ñтолбцах в information_schema.tables и information_schema.columns
+
+
+--4. Выведи вÑÑ‘ Ñодержимое таблицы
+
+
+--5. Выведи вÑе Ð½Ð°Ð·Ð²Ð°Ð½Ð¸Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð¾Ð² и их год выпуÑка
+
+
+--6. Выведите вÑех режиÑÑёров, вÑтречающихÑÑ Ð² таблице
+
+
+--7. Ð’ каком году был ÑнÑÑ‚ 'Fight Club'? ВывеÑти только год
+
+
+--8. Выведите вÑе фильмы 'Christopher Nolan', год и рейтинг
+
+
+--9. Выведите вÑе фильмы, в которых главную роль Ñыграл 'Christian Bale'
+
+
+--10. Ðайдите вÑе комедии (Comedy) длительноÑтью меньше 2Ñ… чаÑов и Ñ Ñ€ÐµÐ¹Ñ‚Ð¸Ð½Ð³Ð¾Ð¼ не менее 8.5
+-- Выводить название фильма, год, длительноÑÑ‚ÑŒ, жанр, рейтинг
+
+
+--11. Выведите вÑе фильмы, ÑнÑтые до 2010 года, в которых ÑнималÑÑ 'Leonardo DiCaprio' или 'Tom Hanks'.
+-- Выводить название фильма, год, двух главных героев
+
+
+--12. Выведите вÑе фильмы жанра 'Drama'
+-- Учитывайте, как лежат данные в Ñтолбце genre
+
+
+--13. Выведите вÑех актёров, которых зовут Jack, Sam или John (можно только Ð´Ð»Ñ star_1).
+
+
+--14. Выведите вÑе Ð½Ð°Ð·Ð²Ð°Ð½Ð¸Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð¾Ð², в которых ÑодержитÑÑ Ð»Ð¸Ð±Ð¾ цифра 3, либо цифра 7.
+
+
+--15. Ðайдите кол-во фильмов, кол-во различных режиÑÑёров, Ñамый ранний и поздний год релиза
+
+
+--16. Выведите Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ режиÑÑёра кол-во его фильмов. УпорÑдочить по убыванию кол-ва фильмов
+
+
+--17. Сколько чаÑов займёт проÑмотр вÑех фильмов 'Quentin Tarantino'?
+
+
+-- 18. Выведите вÑех актёров, которые были 1-м главным актёром в более чем 3Ñ… фильмах,
+-- и кол-во таких фильмов ÑоответÑтвенно
+
+
+--19. Ðайдите вÑех режиÑÑёров 21го века (первый фильм был ÑнÑÑ‚ поÑле 2000го года). ВывеÑти режиÑÑёра и год первого фильма
+
+
+--20. Выведите фильм Ñ Ñамым большим рейтингом
+
+--21. Выведите Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ режиÑÑёра его Ñамый ранний фильм (при равенÑтве годов выводить Ñ Ð½Ð°Ð¸Ð±Ð¾Ð»ÑŒÑˆÐ¸Ð¼ рейтингом)
+-- ВывеÑти Ñтобцы режиÑÑÑ‘Ñ€, название фильма, год, рейтинг
+
+
+--22. Ðайдите кол-во и Ñредний рейтинг фильмов Ð´Ð»Ñ Ð´Ð²ÑƒÑ… категорий: фильмы 20го и 21го века
+-- Округлить до двух знаков поÑле запÑтой
+
+
+--Работа Ñ Ð´Ð°Ñ‚Ð°Ð¼Ð¸
+
+--23. Создадим таблицу Ñ Ð¾Ð¿ÐµÑ€Ð°Ñ†Ð¸Ñми:
+
+DROP TABLE IF EXISTS sem_1.operations;
+CREATE TABLE sem_1.operations (
+ operation_id SERIAL,
+ operation_dt DATE,
+ client_rk INTEGER,
+ operation_amt INTEGER
+);
+
+INSERT INTO sem_1.operations (operation_dt, client_rk, operation_amt) VALUES
+ ('2023-12-01', 1, 1000),
+ ('2024-01-01', 2, 100),
+ ('2024-01-05', 1, 10),
+ ('2024-01-07', 5, 50),
+ ('2024-01-15', 7, 500),
+ ('2024-01-21', 3, 5000),
+ ('2024-01-31', 9, 500),
+ ('2024-02-01', 4, 500);
+;
+
+-- 24. Как найти Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ клиента Ñумму операций за поÑледний меÑÑц? (еÑли ÑÐµÐ³Ð¾Ð´Ð½Ñ 2 февралÑ, то операции Ñчитаем Ñо 2го ÑнварÑ)
+
+
+-- 25. Как найти Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ клиента Ñреднюю Ñумму операций за текущий меÑÑц (еÑли ÑÐµÐ³Ð¾Ð´Ð½Ñ 2 февралÑ, то только за февраль)?
+
+
+--26. Ðайдите Ñумму платежей в каждом квартале
--
GitLab
From bc0b36762aee13defefb2165987f4024ae224ac6 Mon Sep 17 00:00:00 2001
From: Sofia Samoilova <samoilova.se@phystech.edu>
Date: Wed, 31 Jan 2024 17:06:49 +0000
Subject: [PATCH 2/7] Update file README.md
---
practice_2024/Seminar_1/README.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/practice_2024/Seminar_1/README.md b/practice_2024/Seminar_1/README.md
index a91553c..47e0928 100644
--- a/practice_2024/Seminar_1/README.md
+++ b/practice_2024/Seminar_1/README.md
@@ -100,7 +100,7 @@ FROM
| TIME | time (no day) | `TIME '2023-04-10 10:39:37'` | 10:39:37 |
| INTERVAL | interval between two date/times | `TIME '2023-04-10 10:39:37'` | 1 day, 2:00:10 |
-* СегоднÑшнюю дату можно найти так: `NOW()` (timestamp), `CURRENT_DATE` (date), `LOCALTIME` (текущее времÑ)
+* Дату ÑÐµÐ³Ð¾Ð´Ð½Ñ Ð¼Ð¾Ð¶Ð½Ð¾ найти так: `NOW()` (timestamp), `CURRENT_DATE` (date), `LOCALTIME` (текущее времÑ)
* `DATE_TRUNC(‘[interval]’, time_column)` - позволÑет округлить до меÑÑца, года, чиÑла и Ñ‚.д.
Пример: `DATE_TRUNC(‘month’, DATE '2023-04-10')` вернёт `DATE '2023-04-01'`
`DATE_TRUNC(‘day’, TIMESTAMP '2023-04-10 10:39:37')` вернёт `TIMESTAMP '2023-04-10 00:00:00'`
@@ -113,7 +113,7 @@ FROM
Будем работать Ñ Ð´Ð°Ð½Ð½Ñ‹Ð¼Ð¸ о фильмах Ñ IMDB (рандомные 300 фильмов из топ-1000)
-1. Создать Ñхему `sem_1`:
+1. Создать Ñхему `sem_1`
2. Создать таблицу `sem_1.movies` Ñо Ñледующими полÑми и запуÑтить операции вÑтавки (из отдельного файла)
--
GitLab
From c86901a5ee76021f9c8f85b762ae49c3216ad260 Mon Sep 17 00:00:00 2001
From: Sofia Samoilova <samoilova.se@phystech.edu>
Date: Wed, 31 Jan 2024 18:39:04 +0000
Subject: [PATCH 3/7] Update 13 files
- /practice_2024/Seminar_2/img/img3_sql_join.png
- /practice_2024/Seminar_2/img/img_0.png
- /practice_2024/Seminar_2/img/img_1.png
- /practice_2024/Seminar_2/img/img_2.png
- /practice_2024/Seminar_2/img/img_3.png
- /practice_2024/Seminar_2/img/img_4.png
- /practice_2024/Seminar_2/img/img_5.png
- /practice_2024/Seminar_2/img/img_6.png
- /practice_2024/Seminar_2/img/img_7.png
- /practice_2024/Seminar_2/img/img_8.png
- /practice_2024/Seminar_2/img/img_9.png
- /practice_2024/Seminar_2/img/img_10.png
- /practice_2024/Seminar_2/README.md
---
practice_2024/Seminar_2/README.md | 242 ++++++++++++++++++
practice_2024/Seminar_2/img/img3_sql_join.png | Bin 0 -> 305882 bytes
practice_2024/Seminar_2/img/img_0.png | Bin 0 -> 10537 bytes
practice_2024/Seminar_2/img/img_1.png | Bin 0 -> 63674 bytes
practice_2024/Seminar_2/img/img_10.png | Bin 0 -> 19082 bytes
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practice_2024/Seminar_2/img/img_9.png | Bin 0 -> 68138 bytes
13 files changed, 242 insertions(+)
create mode 100644 practice_2024/Seminar_2/README.md
create mode 100644 practice_2024/Seminar_2/img/img3_sql_join.png
create mode 100644 practice_2024/Seminar_2/img/img_0.png
create mode 100644 practice_2024/Seminar_2/img/img_1.png
create mode 100644 practice_2024/Seminar_2/img/img_10.png
create mode 100644 practice_2024/Seminar_2/img/img_2.png
create mode 100644 practice_2024/Seminar_2/img/img_3.png
create mode 100644 practice_2024/Seminar_2/img/img_4.png
create mode 100644 practice_2024/Seminar_2/img/img_5.png
create mode 100644 practice_2024/Seminar_2/img/img_6.png
create mode 100644 practice_2024/Seminar_2/img/img_7.png
create mode 100644 practice_2024/Seminar_2/img/img_8.png
create mode 100644 practice_2024/Seminar_2/img/img_9.png
diff --git a/practice_2024/Seminar_2/README.md b/practice_2024/Seminar_2/README.md
new file mode 100644
index 0000000..b404308
--- /dev/null
+++ b/practice_2024/Seminar_2/README.md
@@ -0,0 +1,242 @@
+## Тема 2. СоединениÑ, ключи
+
+### ТеоретичеÑÐºÐ°Ñ Ñправка
+
+### 2.1 DDL, DML
+
+**Операторы Ð¾Ð¿Ñ€ÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ… (Data Defenition Language):**
+
+1. `CREATE` – Ñоздание объектов БД
+```sql
+CREATE [TEMPORARY] TABLE [IF NOT EXISTS] tbl_name(
+ col_name_1 datatype_1,
+ col_name_2 datatype_2,
+ ...
+ col_name_N datatype_N
+);
+```
+
+2. `ALTER` – Ð¼Ð¾Ð´Ð¸Ñ„Ð¸ÐºÐ°Ñ†Ð¸Ñ Ð¾Ð±ÑŠÐµÐºÑ‚Ð¾Ð² БД
+```sql
+ALTER TABLE table_name ADD column_name datatype;
+ALTER TABLE table_name DROP column_name;
+ALTER TABLE table_name RENAME column_name TO new_column_name;
+ALTER TABLE table_name ALTER column_name TYPE datatype;
+...
+```
+
+3. `DROP` – удаление объектов БД
+```sql
+DROP TABLE [IF EXISTS] table_name;
+```
+
+4. `TRUNCATE` – удаление Ñодержимого объекта БД (данные удалÑÑŽÑ‚ÑÑ Ñ†ÐµÐ»Ñ‹Ð¼ куÑком, Ð½ÐµÐ»ÑŒÐ·Ñ ÑƒÐ´Ð°Ð»ÑÑ‚ÑŒ по уÑловию)
+```sql
+TRUNCATE TABLE table_name;
+```
+
+**Операторы манипулÑции данными (Data Manipulation Language):**
+
+1. `SELECT` – выбирает данные, удовлетворÑющие заданным уÑловиÑм
+2. `INSERT` – добавлÑет новые данные
+```sql
+INSERT INTO table_name [(comma_separated_column_names)] VALUES (comma_separated_values);
+```
+
+3. `UPDATE` – изменÑет (обновлÑет) ÑущеÑтвующие данные
+```sql
+UPDATE table_name
+ SET update_assignment_comma_list
+WHERE conditional_experssion;
+```
+
+4. `DELETE` – удалÑет ÑущеÑтвующие данные (данные удалÑÑŽÑ‚ÑÑ Ð¿Ð¾Ñтрочно – можно задавать уÑловие, "откатывать" удаление)
+```sql
+DELETE
+ FROM table_name
+[WHERE conditional_expression];
+```
+
+#### 2.2 Операции ÑÐ¾ÐµÐ´Ð¸Ð½ÐµÐ½Ð¸Ñ Ñ‚Ð°Ð±Ð»Ð¸Ñ† (JOIN)
+
+Операции ÑÐ¾ÐµÐ´Ð¸Ð½ÐµÐ½Ð¸Ñ Ð´ÐµÐ»ÑÑ‚ÑÑ Ð½Ð° 3 группы:
+
+* `CROSS JOIN` - декартово произведение 2 таблиц
+* `INNER JOIN` - Ñоединение 2 таблиц по уÑловию. Ð’ результирующую выборку попадут только те запиÑи, которые удовлетворÑÑŽÑ‚ уÑловию ÑоединениÑ
+* `OUTER JOIN` - Ñоединение 2 таблиц по уÑловию. Ð’ результирующую выборку могут попаÑÑ‚ÑŒ запиÑи, которые не удовлетворÑÑŽÑ‚ уÑловию ÑоединениÑ:
+ * `LEFT (OUTER) JOIN` - вÑе Ñтроки "левой" таблицы попадают в итоговую выборку
+ * `RIGHT (OUTER) JOIN` - вÑе Ñтроки "правой" таблицы попадают в итоговую выборку
+ * `FULL (OUTER) JOIN` - вÑе Ñтроки обеих таблиц попадают в итоговую выборку
+
+<img src="img/img3_sql_join.png" width="500">
+
+**Виды Ñоединений:**
+ * `[INNER] JOIN`
+ * `OUTER JOIN`
+ * `LEFT [OUTER] JOIN`
+ * `RIGHT [OUTER] JOIN`
+ * `FULL [OUTER] JOIN`
+ * `CROSS JOIN`
+
+#### INNER JOIN
+
+
+
+ * СоединÑет 2 таблицы
+ * Симметричный (порÑдок неважен)
+ * ЛогичеÑкий алгоритм:
+ * ÐšÐ°Ð¶Ð´Ð°Ñ Ñтрока одной таблицы ÑопоÑтавлÑетÑÑ Ñ ÐºÐ°Ð¶Ð´Ð¾Ð¹ Ñтрокой второй таблицы
+ * Ð”Ð»Ñ Ð¿Ð¾Ð»ÑƒÑ‡ÐµÐ½Ð½Ð¾Ð¹ Ñоединённой Ñтроки проверÑетÑÑ ÑƒÑловие ÑоединениÑ
+ * ЕÑли уÑловие иÑтинно, в набор результатов добавлÑетÑÑ ÑÐ¾ÐµÐ´Ð¸Ð½Ñ‘Ð½Ð½Ð°Ñ Ñтрока
+
+Пример:
+
+
+
+Результат:
+
+
+
+#### OUTER JOIN
+
+
+
+* СоединÑет 2 таблицы
+* Ð’ набор результатов входÑÑ‚ вÑе Ñ€Ñды либо одной, либо обеих таблиц
+
+Пример `LEFT OUTER JOIN`:
+
+
+
+Результат:
+
+
+
+Пример `RIGHT OUTER JOIN`:
+
+
+Результат:
+
+
+
+Пример `FULL OUTER JOIN`:
+
+
+Результат:
+
+
+
+> Ð’ Ñлучае, еÑли join_condition входÑÑ‚ Ñтолбцы Ñ Ð¾Ð´Ð¸Ð½Ð°ÐºÐ¾Ð²Ñ‹Ð¼Ð¸ именами, можно иÑпользовать Ñокращённый ÑинтакÑÐ¸Ñ Ñ `USING`.
+
+Пример аналогичных join_condition:
+
+```postgresql
+ON left_table.a = right_table.a AND left_table.b = right_table.b
+
+USING (a, b)
+```
+
+Ещё более компактный вариант ÑƒÐºÐ°Ð·Ð°Ð½Ð¸Ñ join_condition – указание `NATURAL` перед join_type.
+```postgresql
+SELECT select_list
+FROM T1 NATURAL JOIN T2;
+```
+
+Принцип работы `NATURAL`:
+ * Ðналогичен `USING` Ñ ÑƒÐºÐ°Ð·Ð°Ð½Ð¸ÐµÐ¼ вÑех одноимённых Ñтолбцов
+ * ЕÑли одноимённых Ñтолбцов нет, то аналогичен `ON TRUE`
+
+### 2.3 Ключи
+
+**Потенциальный ключ** – подмножеÑтво атрибутов отношениÑ, удовлетворÑющее требованиÑм уникальноÑти и минимальноÑти:
+* *УникальноÑÑ‚ÑŒ*: нет и <ins>не может быть</ins> двух кортежей данного отношениÑ, в которых Ð·Ð½Ð°Ñ‡ÐµÐ½Ð¸Ñ Ñтого подмножеÑтва атрибутов Ñовпадают;
+* *МинимальноÑÑ‚ÑŒ*: в ÑоÑтаве потенциального ключа отÑутÑтвует меньшее подмножеÑтво атрибутов, удовлетворÑющее уÑловию уникальноÑти;
+* Типы:
+ * *проÑтой* (ÑоÑтоит ровно из одного атрибута)
+ * *ÑоÑтавной* (ÑоÑтоит из двух и более атрибутов)
+
+
+Пример неÑкольких потенциальных ÑоÑтавных ключей:
+```sql
+CREATE TABLE flight_schedule (
+ departure timestampt,
+ gate text,
+ pilot text
+
+ UNIQUE(departure, gate),
+ UNIQUE(departure, pilot)
+);
+```
+
+**Первичный ключ** *(Primary key, PK)* — любой из потенциальных ключей, выбранный в качеÑтве оÑновного; выбирают в качеÑтве первичного такой ключ, который занимает меньше меÑта при хранении и который не утратит Ñвою уникальноÑÑ‚ÑŒ Ñо временем. (потенциальный ключ ÑущеÑтвует вÑегда, даже еÑли включает в ÑÐµÐ±Ñ Ð²Ñе атрибуты отношениÑ) **Ðльтернативными ключами** называютÑÑ Ð¿Ð¾Ñ‚ÐµÐ½Ñ†Ð¸Ð°Ð»ÑŒÐ½Ñ‹Ðµ ключи, не выбранные в качеÑтве первичного.
+
+Типы:
+* *еÑтеÑтвенный* (оÑнованный на уже ÑущеÑтвующем поле)
+* *интеллектуальный* (оÑнованный на еÑтеÑтвенном ключе путем Ð´Ð¾Ð±Ð°Ð²Ð»ÐµÐ½Ð¸Ñ Ð´Ð¾Ð¿Ð¾Ð»Ð½Ð¸Ñ‚ÐµÐ»ÑŒÐ½Ð¾Ð³Ð¾ полÑ)
+
+**Суррогатный ключ** — Ñто дополнительное Ñлужебное поле, которое добавлÑетÑÑ Ðº уже имеющимÑÑ Ð¸Ð½Ñ„Ð¾Ñ€Ð¼Ð°Ñ†Ð¸Ð¾Ð½Ð½Ñ‹Ð¼ полÑм таблицы, единÑтвенное предназначение которого – Ñлужить первичным ключом. (значение генерируетÑÑ Ð¸ÑкуÑÑтвенно).
+
+ПуÑÑ‚ÑŒ R<sub>1</sub> и R<sub>2</sub> – две переменные отношениÑ, не обÑзательно различные. **Внешним ключом FK (Foreign key)** в R<sub>2</sub> ÑвлÑетÑÑ Ð¿Ð¾Ð´Ð¼Ð½Ð¾Ð¶ÐµÑтво атрибутов переменной R2 такое, что выполнÑÑŽÑ‚ÑÑ Ñледующие требованиÑ:
+* Ð’ переменной Ð¾Ñ‚Ð½Ð¾ÑˆÐµÐ½Ð¸Ñ R<sub>1</sub> имеетÑÑ Ð¿Ð¾Ñ‚ÐµÐ½Ñ†Ð¸Ð°Ð»ÑŒÐ½Ñ‹Ð¹ ключ PK такой, что PK и FK Ñовпадают Ñ Ñ‚Ð¾Ñ‡Ð½Ð¾Ñтью до Ð¿ÐµÑ€ÐµÐ¸Ð¼ÐµÐ½Ð¾Ð²Ð°Ð½Ð¸Ñ Ð°Ñ‚Ñ€Ð¸Ð±ÑƒÑ‚Ð¾Ð² (FK из R<sub>2</sub> ÑвлÑетÑÑ PK из R<sub>1</sub>)
+* Ð’ любой момент времени каждое значение FK в текущем значении R<sub>2</sub> идентично значению PK в некотором кортеже в текущем значении R<sub>1</sub>. Иными Ñловами, в любой момент времени множеÑтво вÑех значений FK в R<sub>2</sub> ÑвлÑетÑÑ Ð¿Ð¾Ð´Ð¼Ð½Ð¾Ð¶ÐµÑтвом значений PK в R<sub>1</sub>.
+
+* *РодительÑкое (главное/целевое) отношение* — отношение R<sub>1</sub>, Ñодержащее потенциальный ключ.
+* *Дочернее (подчиненное) отношение* — отношение R<sub>2</sub>, Ñодержащее в Ñебе ÑÑылку на ÑущноÑÑ‚ÑŒ, в которой находÑÑ‚ÑÑ Ð½ÑƒÐ¶Ð½Ñ‹Ðµ нам атрибуты. (Ñодержащее в Ñебе внешний ключ)
+
+#### Создание ключей
+
+`PRIMARY KEY`
+```postgresql
+CREATE TABLE PERSON (
+ ID INTEGER PRIMARY KEY,
+ LAST_NAME VARCHAR(255) NOT NULL,
+ FIRST_NAME VARCHAR(255) NOT NULL,
+ AGE INTEGER
+);
+
+ALTER TABLE PERSON ADD PRIMARY KEY (ID);
+
+------------------------------------------
+
+CREATE TABLE PERSON (
+ ID INTEGER,
+ LAST_NAME VARCHAR(255),
+ FIRST_NAME VARCHAR(255) NOT NULL,
+ AGE INTEGER,
+ CONSTRAINT PK_Person PRIMARY KEY (ID, LAST_NAME)
+);
+
+ALTER TABLE PERSON
+ADD CONSTRAINT PK_Person PRIMARY KEY (ID, LAST_NAME);
+
+ALTER TABLE PERSON
+DROP CONSTRAINT PK_Person;
+```
+
+`FOREIGN KEY`
+```postgresql
+CREATE TABLE ORDER (
+ ORDER_ID INTEGER,
+ ORDER_NUMBER INTEGER NOT NULL,
+ PERSON_ID INTEGER,
+
+ PRIMARY KEY (ORDER_ID),
+ CONSTRAINT FK_PersonOrder FOREIGN KEY (PERSON_ID) REFERENCES PERSON(PERSON_ID)
+);
+
+ALTER TABLE ORDER ADD CONSTRAINT FK_PersonOrder
+FOREIGN KEY (PERSON_ID) REFERENCES PERSON(PERSON_ID);
+
+ALTER TABLE ORDER DROP CONSTRAINT FK_PersonOrder;
+
+------------------------------------------
+
+CREATE TABLE ORDER (
+ ORDER_ID INTEGER PRIMARY KEY,
+ ORDER_NUMBER INTEGER NOT NULL,
+ PERSON_ID INTEGER REFERENCES PERSON(PERSON_ID)
+);
+
+ALTER TABLE ORDER
+ADD FOREIGN KEY (PERSON_ID) REFERENCES PERSON(PERSON_ID);
+```
\ No newline at end of file
diff --git a/practice_2024/Seminar_2/img/img3_sql_join.png b/practice_2024/Seminar_2/img/img3_sql_join.png
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--
GitLab
From a92779d0bfcfc3036d3054e7016080cfa50ce2d8 Mon Sep 17 00:00:00 2001
From: Sofia Samoilova <samoilova.se@phystech.edu>
Date: Thu, 1 Feb 2024 15:29:11 +0000
Subject: [PATCH 4/7] Update 2 files
- /practice_2024/Seminar_2/img/diagram.png
- /practice_2024/Seminar_2/README.md
---
practice_2024/Seminar_2/README.md | 98 +++++++++++++++++++++---
practice_2024/Seminar_2/img/diagram.png | Bin 0 -> 114734 bytes
2 files changed, 89 insertions(+), 9 deletions(-)
create mode 100644 practice_2024/Seminar_2/img/diagram.png
diff --git a/practice_2024/Seminar_2/README.md b/practice_2024/Seminar_2/README.md
index b404308..22be2c6 100644
--- a/practice_2024/Seminar_2/README.md
+++ b/practice_2024/Seminar_2/README.md
@@ -70,14 +70,6 @@ DELETE
<img src="img/img3_sql_join.png" width="500">
-**Виды Ñоединений:**
- * `[INNER] JOIN`
- * `OUTER JOIN`
- * `LEFT [OUTER] JOIN`
- * `RIGHT [OUTER] JOIN`
- * `FULL [OUTER] JOIN`
- * `CROSS JOIN`
-
#### INNER JOIN
@@ -239,4 +231,92 @@ CREATE TABLE ORDER (
ALTER TABLE ORDER
ADD FOREIGN KEY (PERSON_ID) REFERENCES PERSON(PERSON_ID);
-```
\ No newline at end of file
+```
+
+### ПрактичеÑÐºÐ°Ñ Ñ‡Ð°ÑÑ‚ÑŒ
+
+Продолжаем работать Ñ Ð´Ð°Ð½Ð½Ñ‹Ð¼Ð¸ о фильмах.
+
+
+
+1. Создать Ñхему sem_2:
+
+2. Создать Ñледующие таблицы. Какие первичные и внешние ключи нужны здеÑÑŒ? Создайте их.
+Колонку id заведите типа serial. Как называетÑÑ Ñ‚Ð°ÐºÐ¾Ð¹ вид ключа?
+
+movies
+id (идентификатор фильма)
+title (название фильма)
+release_year (год выпуÑка)
+duration_min (длительноÑÑ‚ÑŒ в мин)
+rating (рейтинг)
+director (режиÑÑÑ‘Ñ€)
+
+
+actors
+id (идентификатор актёра)
+first_nm (Ð¸Ð¼Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð°)
+last_nm (Ñ„Ð°Ð¼Ð¸Ð»Ð¸Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð°)
+
+
+cast
+movie_id (идентификатор фильма)
+actor_id (идентификатор актёра)
+character_nm (перÑонаж)
+
+
+genres
+movie_id (идентификатор фильма)
+genre_nm (жанр)
+
+
+3. Заполнить таблицу movies 3 теÑтовыми Ñтроками.
+
+
+4. Добавить в таблицу movies новое поле `comment`.
+
+
+5. ÐапиÑать Ð·Ð°Ð¿Ñ€Ð¾Ñ Ð´Ð»Ñ Ð¾Ð±Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð»Ñ Ñ ÐºÐ¾Ð¼Ð¼ÐµÐ½Ñ‚Ð°Ñ€Ð¸ÐµÐ¼.
+Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð¹ Ñтроки необходимо указать Ñвой комментарий.
+Подумайте, как Ñто Ñделать одной операций `UPDATE`, а не пÑтью разными запроÑами.
+
+
+6. Удалить одну из Ñтрок таблицы на выбор.
+
+7. ОчиÑтить таблицу, иÑÐ¿Ð¾Ð»ÑŒÐ·ÑƒÑ Ð¾Ð¿ÐµÑ€Ð°Ñ‚Ð¾Ñ€ группы DDL.
+
+8. Снова заполните таблицу и обратите внимание на идентификаторы. Снова очиÑтите полноÑтью.
+
+9. Удалить из таблицы Ñтолбец Ñ ÐºÐ¾Ð¼Ð¼ÐµÐ½Ñ‚Ð°Ñ€Ð¸ÐµÐ¼.
+
+10. ЗапуÑтить операции вÑтавки из отдельного файла
+
+11. Ðайдите вÑе фильмы жанра Crime. ВывеÑти название фильма, год выпуÑка и рейтинг
+
+12. Ðайдите ID актёров, по которым нет информации о фильмах, в которых они ÑнималиÑÑŒ
+
+13. Как зовут актёра, игравшего 'Harry Potter'?
+
+14. Выведите вÑе фильмы 90Ñ… жанров Drama и Romance
+
+15. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ жанра найдите кол-во фильмов и Ñредний рейтинг
+ОтÑортировать по убыванию Ñреднего рейтинга, при равенÑтве по убыванию кол-ва фильмов
+
+16. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ актёра выведите кол-во фильмов, в которых он Ñыграл (может быть 0).
+ОтÑортировать по убыванию кол-ва фильмов
+
+17. Ðайдите вÑе фильмы, в которых играл Jake Gyllenhaal. Выведите название фильма,
+год выпуÑка и длительноÑÑ‚ÑŒ. ОтÑортируйте по увеличению длительноÑти фильма
+
+18. Выведите вÑе фильмы Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð¾Ð¼, который играл 'Captain Jack Sparrow'
+
+19. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ фильма выведите его жанры через запÑтую в виде Ñтроки
+(например, Ñ Ð¿Ð¾Ð¼Ð¾Ñ‰ÑŒÑŽ STRING_AGG)
+ЕÑли Ð´Ð»Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð° не указан жанр, вывеÑти -.
+
+20. Ðайдите вÑех актёров, которых играли вмеÑте Ñ Leonardo DiCaprio.
+Опционально: вывеÑти фильмы, в которых они играли вмеÑте.
+
+
+
+
diff --git a/practice_2024/Seminar_2/img/diagram.png b/practice_2024/Seminar_2/img/diagram.png
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HcmV?d00001
--
GitLab
From 229ceffc6b2c200a6057332248e27d87abee5f74 Mon Sep 17 00:00:00 2001
From: Sofia Samoilova <samoilova.se@phystech.edu>
Date: Thu, 1 Feb 2024 15:30:29 +0000
Subject: [PATCH 5/7] Update file README.md
---
practice_2024/Seminar_2/README.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/practice_2024/Seminar_2/README.md b/practice_2024/Seminar_2/README.md
index 22be2c6..d79a98c 100644
--- a/practice_2024/Seminar_2/README.md
+++ b/practice_2024/Seminar_2/README.md
@@ -242,7 +242,7 @@ ADD FOREIGN KEY (PERSON_ID) REFERENCES PERSON(PERSON_ID);
1. Создать Ñхему sem_2:
2. Создать Ñледующие таблицы. Какие первичные и внешние ключи нужны здеÑÑŒ? Создайте их.
-Колонку id заведите типа serial. Как называетÑÑ Ñ‚Ð°ÐºÐ¾Ð¹ вид ключа?
+Колонку id заведите типа serial ([документациÑ](https://postgrespro.ru/docs/postgresql/9.6/datatype-numeric)). Как называетÑÑ Ñ‚Ð°ÐºÐ¾Ð¹ вид ключа?
movies
id (идентификатор фильма)
--
GitLab
From 0e0118fd44cea4083d15e4e797871d93b307779c Mon Sep 17 00:00:00 2001
From: Sofia Samoilova <samoilova.se@phystech.edu>
Date: Thu, 1 Feb 2024 15:38:22 +0000
Subject: [PATCH 6/7] Update 3 files
- /practice_2024/Seminar_2/solved_sem2.sql
- /practice_2024/Seminar_2/tasks_sem2.sql
- /practice_2024/Seminar_2/insert_sem2.sql
---
practice_2024/Seminar_2/insert_sem2.sql | 3777 +++++++++++++++++++++++
practice_2024/Seminar_2/solved_sem2.sql | 236 ++
practice_2024/Seminar_2/tasks_sem2.sql | 90 +
3 files changed, 4103 insertions(+)
create mode 100644 practice_2024/Seminar_2/insert_sem2.sql
create mode 100644 practice_2024/Seminar_2/solved_sem2.sql
create mode 100644 practice_2024/Seminar_2/tasks_sem2.sql
diff --git a/practice_2024/Seminar_2/insert_sem2.sql b/practice_2024/Seminar_2/insert_sem2.sql
new file mode 100644
index 0000000..28579d8
--- /dev/null
+++ b/practice_2024/Seminar_2/insert_sem2.sql
@@ -0,0 +1,3777 @@
+INSERT INTO sem_2.movies (title, release_year, duration_min, rating, director) VALUES
+('Avatar', 2009.0, 162, 7.8, 'James Cameron'),
+('The Dark Knight Rises', 2012.0, 164, 8.4, 'Christopher Nolan'),
+('Tangled', 2010.0, 100, 7.7, 'Nathan Greno'),
+('Harry Potter and the Half-Blood Prince', 2009.0, 153, 7.6, 'David Yates'),
+('The Avengers', 2012.0, 143, 8.0, 'Joss Whedon'),
+('The Hobbit: The Desolation of Smaug', 2013.0, 161, 7.8, 'Peter Jackson'),
+('King Kong', 1933.0, 100, 7.9, 'Merian C. Cooper'),
+('Titanic', 1997.0, 194, 7.8, 'James Cameron'),
+('Captain America: Civil War', 2016.0, 147, 7.8, 'Anthony Russo'),
+('Skyfall', 2012.0, 143, 7.7, 'Sam Mendes'),
+('Toy Story 3', 2010.0, 103, 8.2, 'Lee Unkrich'),
+('X-Men: Days of Future Past', 2014.0, 132, 7.9, 'Bryan Singer'),
+('Star Trek Into Darkness', 2013.0, 132, 7.7, 'J.J. Abrams'),
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+('Veer-Zaara', 2004.0, 192, 7.8, 'Yash Chopra'),
+('The Boondock Saints', 1999.0, 108, 7.8, 'Troy Duffy'),
+('Dazed and Confused', 1993.0, 102, 7.6, 'Richard Linklater'),
+('Incendies', 2010.0, 131, 8.3, 'Denis Villeneuve'),
+('Boyz n the Hood', 1991.0, 112, 7.8, 'John Singleton'),
+('Control', 2007.0, 122, 7.7, 'Anton Corbijn'),
+('The Terminator', 1984.0, 107, 8.0, 'James Cameron'),
+('Platoon', 1986.0, 120, 8.1, 'Oliver Stone'),
+('Butch Cassidy and the Sundance Kid', 1969.0, 110, 8.0, 'George Roy Hill'),
+('Mary Poppins', 1964.0, 139, 7.8, 'Robert Stevenson'),
+('Ordinary People', 1980.0, 124, 7.7, 'Robert Redford'),
+('The Usual Suspects', 1995.0, 106, 8.5, 'Bryan Singer'),
+('The Wrestler', 2008.0, 109, 7.9, 'Darren Aronofsky'),
+('The Last King of Scotland', 2006.0, 123, 7.7, 'Kevin Macdonald'),
+('Hedwig and the Angry Inch', 2001.0, 95, 7.7, 'John Cameron Mitchell'),
+('The Wild Bunch', 1969.0, 145, 7.9, 'Sam Peckinpah'),
+('The Sting', 1973.0, 129, 8.3, 'George Roy Hill'),
+('Shine', 1996.0, 105, 7.7, 'Scott Hicks'),
+('Do the Right Thing', 1989.0, 120, 8.0, 'Spike Lee'),
+('Rang De Basanti', 2006.0, 167, 8.2, 'Rakeysh Omprakash Mehra'),
+('The Elephant Man', 1980.0, 124, 8.1, 'David Lynch'),
+('Dallas Buyers Club', 2013.0, 117, 8.0, 'Jean-Marc Vallée'),
+('Memento', 2000.0, 113, 8.4, 'Christopher Nolan'),
+('Billy Elliot', 2000.0, 110, 7.7, 'Stephen Daldry'),
+('Shaun of the Dead', 2004.0, 99, 7.9, 'Edgar Wright'),
+('Once Upon a Time in the West', 1968.0, 165, 8.5, 'Sergio Leone'),
+('Moon', 2009.0, 97, 7.9, 'Duncan Jones'),
+('The Machinist', 2004.0, 101, 7.7, 'Brad Anderson'),
+('Sling Blade', 1996.0, 135, 8.0, 'Billy Bob Thornton'),
+('25th Hour', 2002.0, 135, 7.6, 'Spike Lee'),
+('Requiem for a Dream', 2000.0, 102, 8.3, 'Darren Aronofsky'),
+('Donnie Darko', 2001.0, 113, 8.0, 'Richard Kelly'),
+('One Flew Over the Cuckoos Nest', 1975.0, 133, 8.7, 'Milos Forman'),
+('Airlift', 2016.0, 130, 8.0, 'Raja Menon'),
+('Night of the Living Dead', 1968.0, 96, 7.9, 'George A. Romero'),
+('Lost in Translation', 2003.0, 102, 7.7, 'Sofia Coppola'),
+('Annie Hall', 1977.0, 93, 8.0, 'Woody Allen'),
+('The Great Escape', 1963.0, 172, 8.2, 'John Sturges'),
+('Boyhood', 2014.0, 165, 7.9, 'Richard Linklater'),
+('A Man for All Seasons', 1966.0, 120, 7.7, 'Fred Zinnemann'),
+('Network', 1976.0, 121, 8.1, 'Sidney Lumet'),
+('Gone with the Wind', 1939.0, 238, 8.1, 'Victor Fleming'),
+('Midnight Cowboy', 1969.0, 113, 7.8, 'John Schlesinger'),
+('Airplane!', 1980.0, 88, 7.7, 'Jim Abrahams'),
+('Evil Dead II', 1987.0, 84, 7.8, 'Sam Raimi'),
+('Whiplash', 2014.0, 106, 8.5, 'Damien Chazelle'),
+('A Christmas Story', 1983.0, 93, 7.9, 'Bob Clark'),
+('Rosemarys Baby', 1968.0, 137, 8.0, 'Roman Polanski'),
+('The Man Who Shot Liberty Valance', 1962.0, 123, 8.1, 'John Ford'),
+('Goldfinger', 1964.0, 110, 7.7, 'Guy Hamilton'),
+('Its a Wonderful Life', 1946.0, 130, 8.6, 'Frank Capra'),
+('Trainspotting', 1996.0, 93, 8.1, 'Danny Boyle'),
+('Cat on a Hot Tin Roof', 1958.0, 108, 8.0, 'Richard Brooks'),
+('The Bridge on the River Kwai', 1957.0, 161, 8.1, 'David Lean'),
+('The Apartment', 1960.0, 125, 8.3, 'Billy Wilder'),
+('Judgment at Nuremberg', 1961.0, 179, 8.2, 'Stanley Kramer'),
+('Red River', 1948.0, 133, 7.8, 'Howard Hawks'),
+('Before Midnight', 2013.0, 109, 7.9, 'Richard Linklater'),
+('Willy Wonka & the Chocolate Factory', 1971.0, 100, 7.8, 'Mel Stuart'),
+('Days of Heaven', 1978.0, 94, 7.8, 'Terrence Malick'),
+('Happiness', 1998.0, 134, 7.7, 'Todd Solondz'),
+('Some Like It Hot', 1959.0, 121, 8.2, 'Billy Wilder'),
+('The Wizard of Oz', 1939.0, 102, 8.0, 'Victor Fleming'),
+('Young Frankenstein', 1974.0, 106, 8.0, 'Mel Brooks'),
+('Lage Raho Munna Bhai', 2006.0, 144, 8.1, 'Rajkumar Hirani'),
+('Blazing Saddles', 1974.0, 93, 7.7, 'Mel Brooks'),
+('Singin in the Rain', 1952.0, 103, 8.3, 'Stanley Donen'),
+('Before Sunrise', 1995.0, 101, 8.1, 'Richard Linklater'),
+('This Is England', 2006.0, 101, 7.7, 'Shane Meadows'),
+('Fantasia', 1940.0, 125, 7.7, 'James Algar'),
+('The Best Years of Our Lives', 1946.0, 170, 8.0, 'William Wyler'),
+('To Kill a Mockingbird', 1962.0, 129, 8.2, 'Robert Mulligan'),
+('The Lives of Others', 2006.0, 137, 8.4, 'Florian Henckel von Donnersmarck'),
+('The Hustler', 1961.0, 134, 8.0, 'Robert Rossen'),
+('Before Sunset', 2004.0, 80, 8.1, 'Richard Linklater'),
+('Amores perros', 2000.0, 154, 8.1, 'Alejandro G. Iñárritu'),
+('A Streetcar Named Desire', 1951.0, 122, 8.0, 'Elia Kazan'),
+('Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb', 1964.0, 95, 8.4, 'Stanley Kubrick'),
+('The Lunchbox', 2013.0, 104, 7.8, 'Ritesh Batra'),
+('From Here to Eternity', 1953.0, 118, 7.6, 'Fred Zinnemann'),
+('The Conversation', 1974.0, 113, 7.8, 'Francis Ford Coppola'),
+('Mr. Smith Goes to Washington', 1939.0, 129, 8.1, 'Frank Capra'),
+('Modern Times', 1936.0, 87, 8.5, 'Charles Chaplin'),
+('Lock, Stock and Two Smoking Barrels', 1998.0, 107, 8.2, 'Guy Ritchie'),
+('Rebecca', 1940.0, 130, 8.1, 'Alfred Hitchcock'),
+('The Lost Weekend', 1945.0, 101, 7.9, 'Billy Wilder'),
+('Saw', 2004.0, 103, 7.6, 'James Wan'),
+('Reservoir Dogs', 1992.0, 99, 8.3, 'Quentin Tarantino'),
+('Dead Mans Shoes', 2004.0, 90, 7.6, 'Shane Meadows'),
+('Casablanca', 1942.0, 102, 8.5, 'Michael Curtiz'),
+('Rocky', 1976.0, 120, 8.1, 'John G. Avildsen'),
+('Taxi Driver', 1976.0, 114, 8.3, 'Martin Scorsese'),
+('On the Waterfront', 1954.0, 108, 8.1, 'Elia Kazan'),
+('High Noon', 1952.0, 85, 7.9, 'Fred Zinnemann'),
+('A Hard Days Night', 1964.0, 87, 7.6, 'Richard Lester'),
+('The Station Agent', 2003.0, 89, 7.6, 'Tom McCarthy'),
+('Monty Python and the Holy Grail', 1975.0, 91, 8.2, 'Terry Gilliam'),
+('12 Angry Men', 1957.0, 96, 9.0, 'Sidney Lumet'),
+('It Happened One Night', 1934.0, 105, 8.1, 'Frank Capra'),
+('The Man from Earth', 2007.0, 87, 7.9, 'Richard Schenkman'),
+('Once', 2007.0, 86, 7.8, 'John Carney'),
+('Clerks', 1994.0, 92, 7.7, 'Kevin Smith');
+
+INSERT INTO sem_2.actors (first_nm, last_nm) VALUES
+('Aamir', 'Khan'),
+('Aaron', 'Eckhart'),
+('Aaron', 'Taylor-Johnson'),
+('Adrien', 'Brody'),
+('Aitana', 'Sánchez-Gijón'),
+('Akshay', 'Kumar'),
+('Al', 'Pacino'),
+('Alakina', 'Mann'),
+('Alan', 'Arkin'),
+('Alan', 'Rickman'),
+('Alan', 'Tudyk'),
+('Albert', 'Brooks'),
+('Albert', 'Finney'),
+('Albert', 'Hall'),
+('Alec', 'Baldwin'),
+('Alec', 'Guinness'),
+('Alexander', 'Godunov'),
+('Alexander', 'Gould'),
+('Alexandra Maria', 'Lara'),
+('Alfred', 'Abel'),
+('Alice', 'Patten'),
+('Alicia', 'Vikander'),
+('Amy', 'Adams'),
+('Amy', 'Poehler'),
+('Amy', 'Ryan'),
+('Amy', 'Smart'),
+('Andie', 'MacDowell'),
+('Andrea', 'Eckert'),
+('Andrew', 'Garfield'),
+('Andy', 'GarcÃa'),
+('Andy', 'Serkis'),
+('Angela', 'Bassett'),
+('Angelina', 'Jolie'),
+('Anil', 'Kapoor'),
+('Anjelica', 'Huston'),
+('Anna', 'Faris'),
+('Anna', 'Kendrick'),
+('Anne', 'Bancroft'),
+('Anne', 'Hathaway'),
+('Annette', 'Bening'),
+('Annie', 'Corley'),
+('Ansel', 'Elgort'),
+('Anthony', 'Hopkins'),
+('Anthony', 'Perkins'),
+('Anthony', 'Quinn'),
+('', 'Arletty'),
+('Armin', 'Mueller-Stahl'),
+('Arnold', 'Schwarzenegger'),
+('Arshad', 'Warsi'),
+('Asa', 'Butterfield'),
+('Ashton', 'Kutcher'),
+('Audrey', 'Hepburn'),
+('Audrey', 'Tautou'),
+('Ayush', 'Tandon'),
+('Barry', 'Pepper'),
+('Bee', 'Vang'),
+('Ben', 'Affleck'),
+('Ben', 'Burtt'),
+('Ben', 'Kingsley'),
+('Ben', 'Stiller'),
+('Benedict', 'Cumberbatch'),
+('Benicio del', 'Toro'),
+('Benjamin', 'Bratt'),
+('Benno', 'Fürmann'),
+('Beverly', 'DAngelo'),
+('Bill', 'Murray'),
+('Bill', 'Nighy'),
+('Bill', 'Paxton'),
+('Billy Bob', 'Thornton'),
+('Billy', 'Crudup'),
+('Billy', 'Crystal'),
+('', 'Björk'),
+('Bob', 'Gunton'),
+('Bob', 'Odenkirk'),
+('Bobby', 'Cannavale'),
+('Brad', 'Pitt'),
+('Bradley', 'Cooper'),
+('Brendan', 'Gleeson'),
+('Brian', 'Cox'),
+('Brian', 'Dennehy'),
+('Brian', 'OHalloran'),
+('Bridget', 'Moynahan'),
+('Brie', 'Larson'),
+('Brigitte', 'Helm'),
+('Brock', 'Peters'),
+('Brooke', 'Adams'),
+('Bruce', 'Campbell'),
+('Bruce', 'Dern'),
+('Bruce', 'Willis'),
+('Bryan', 'Cranston'),
+('Burl', 'Ives'),
+('Burt', 'Lancaster'),
+('Burt', 'Reynolds'),
+('Burt', 'Young'),
+('Bérénice', 'Bejo'),
+('Callan', 'McAuliffe'),
+('Cameron', 'Diaz'),
+('Candice', 'Bergen'),
+('Carey', 'Mulligan'),
+('Carl', 'Weathers'),
+('Carla', 'Gugino'),
+('Carrie', 'Coon'),
+('Carrie', 'Fisher'),
+('Carrie-Anne', 'Moss'),
+('Cary', 'Elwes'),
+('Cate', 'Blanchett'),
+('Catherine', 'Deneuve'),
+('Catherine', 'Keener'),
+('Catherine', 'McCormack'),
+('Cathy', 'Moriarty'),
+('Chaim', 'Topol'),
+('Charles Martin', 'Smith'),
+('Charlie', 'Chaplin'),
+('Charlie', 'Cox'),
+('Charlie', 'Sheen'),
+('Charlize', 'Theron'),
+('Charlotte', 'Rampling'),
+('Chazz', 'Palminteri'),
+('Chiara', 'Mastroianni'),
+('Chiwetel', 'Ejiofor'),
+('Chloë Grace', 'Moretz'),
+('Chris', 'Cooper'),
+('Chris', 'Elliott'),
+('Chris', 'Evans'),
+('Chris', 'Hemsworth'),
+('Chris', 'Noth'),
+('Chris', 'Pine'),
+('Chris', 'Pratt'),
+('Christen', 'Mooney'),
+('Christian', 'Bale'),
+('Christian', 'Slater'),
+('Christoph', 'Waltz'),
+('Christopher', 'Carley'),
+('Christopher', 'Eccleston'),
+('Christopher', 'Lloyd'),
+('Christopher', 'Mintz-Plasse'),
+('Christopher', 'Plummer'),
+('Christopher', 'Walken'),
+('Claire', 'Danes'),
+('Clark', 'Gable'),
+('Claude', 'Rains'),
+('Claudette', 'Colbert'),
+('Claudia', 'Cardinale'),
+('Cleavon', 'Little'),
+('Clint', 'Eastwood'),
+('Clive', 'Owen'),
+('Colin', 'Farrell'),
+('Colin', 'Firth'),
+('Connie', 'Nielsen'),
+('Conrad', 'Kemp'),
+('Corey', 'Feldman'),
+('Corey', 'Hawkins'),
+('Craig', 'Ferguson'),
+('Craig T.', 'Nelson'),
+('Cuba Gooding', 'Jr.'),
+('Cybill', 'Shepherd'),
+('Dakota', 'Fanning'),
+('Damian', 'Chapa'),
+('Dan', 'Aykroyd'),
+('Dan', 'Hicks'),
+('Dana', 'Andrews'),
+('Daniel', 'Brühl'),
+('Daniel', 'Craig'),
+('Daniel', 'Day-Lewis'),
+('Daniel', 'Henney'),
+('Daniel', 'Radcliffe'),
+('Daniel', 'Stern'),
+('Danielle', 'Darrieux'),
+('Danny', 'Aiello'),
+('Danny', 'DeVito'),
+('Danny', 'Glover'),
+('Danny', 'Lloyd'),
+('Darren', 'McGavin'),
+('Daryl', 'Hannah'),
+('Dave', 'Bautista'),
+('David', 'Carradine'),
+('David', 'Herman'),
+('David Lee', 'Smith'),
+('David', 'Morse'),
+('David', 'Strathairn'),
+('David', 'Tomlinson'),
+('DeForest', 'Kelley'),
+('Debbie', 'Reynolds'),
+('Deborah Kara', 'Unger'),
+('Deborah', 'Kerr'),
+('Deems', 'Taylor'),
+('Demi', 'Moore'),
+('Denholm', 'Elliott'),
+('Dennis', 'Quaid'),
+('Denzel', 'Washington'),
+('Derek', 'Jacobi'),
+('Dev', 'Patel'),
+('Devon', 'Aoki'),
+('Dexter', 'Fletcher'),
+('Diane', 'Keaton'),
+('Diane', 'Kruger'),
+('Dianne', 'Wiest'),
+('Dick Van', 'Dyke'),
+('Dilip', 'Prabhavalkar'),
+('Dillon', 'Freasier'),
+('Djimon', 'Hounsou'),
+('Domhnall', 'Gleeson'),
+('Dominic', 'West'),
+('Dominique', 'McElligott'),
+('Don', 'Austen'),
+('Don', 'Cheadle'),
+('Don', 'Rickles'),
+('Donald', 'OConnor'),
+('Donald', 'Pleasence'),
+('Donald', 'Sutherland'),
+('Donatas', 'Banionis'),
+('Donna', 'Murphy'),
+('Donna', 'Reed'),
+('Drew', 'Barrymore'),
+('Duane', 'Jones'),
+('Dustin', 'Hoffman'),
+('Dwight', 'Yoakam'),
+('Ed', 'Asner'),
+('Ed', 'Harris'),
+('Ed', 'Helms'),
+('Ed', 'Skrein'),
+('Eddie', 'Albert'),
+('Eddie', 'Murphy'),
+('Eddie', 'Redmayne'),
+('Edward', 'Fox'),
+('Edward', 'Furlong'),
+('Edward', 'Norton'),
+('Eleanor', 'Parker'),
+('Eli', 'Marienthal'),
+('Elijah', 'Wood'),
+('Elissa', 'Knight'),
+('Elizabeth', 'Banks'),
+('Elizabeth', 'Berridge'),
+('Elizabeth', 'McGovern'),
+('Elizabeth', 'Taylor'),
+('Ellar', 'Coltrane'),
+('Ellen', 'Burstyn'),
+('Ellen', 'DeGeneres'),
+('Ellen', 'Page'),
+('Elpidia', 'Carrillo'),
+('Emile', 'Hirsch'),
+('Emily', 'Blunt'),
+('Emily', 'Mortimer'),
+('Emma', 'Stone'),
+('Emma', 'Thompson'),
+('Emma', 'Watson'),
+('Emmanuelle', 'Riva'),
+('Ernest', 'Borgnine'),
+('Ethan', 'Hawke'),
+('Ethan', 'Suplee'),
+('Eva', 'Green'),
+('Evan', 'McGuire'),
+('Evan Rachel', 'Wood'),
+('Ewan', 'McGregor'),
+('Ewen', 'Bremner'),
+('Ezra', 'Miller'),
+('F. Murray', 'Abraham'),
+('Famke', 'Janssen'),
+('Faye', 'Dunaway'),
+('Felicity', 'Jones'),
+('Fernando', 'Rey'),
+('Feryna', 'Wazheir'),
+('Forest', 'Whitaker'),
+('Frances', 'Fisher'),
+('Frances', 'McDormand'),
+('Frank', 'Finlay'),
+('Frank', 'Langella'),
+('Frank', 'Morgan'),
+('Frank', 'Oz'),
+('Franka', 'Potente'),
+('François', 'Truffaut'),
+('Fred', 'MacMurray'),
+('Fred', 'Ward'),
+('Frederic', 'Forrest'),
+('Fredric', 'March'),
+('Freida', 'Pinto'),
+('Gabriel', 'Byrne'),
+('Gael GarcÃa', 'Bernal'),
+('Gary', 'Cooper'),
+('Gary', 'Lockwood'),
+('Gary', 'Oldman'),
+('Gary', 'Sinise'),
+('Gary', 'Stretch'),
+('Gena', 'Rowlands'),
+('Gene', 'Hackman'),
+('Gene', 'Kelly'),
+('Gene', 'Wilder'),
+('Geoffrey', 'Rush'),
+('George C.', 'Scott'),
+('George', 'Clooney'),
+('George', 'Harrison'),
+('George', 'Sanders'),
+('Geraldine', 'Chaplin'),
+('Gerard', 'Butler'),
+('Gerardo', 'Taracena'),
+('Gert', 'Fröbe'),
+('Gina', 'Torres'),
+('Ginnifer', 'Goodwin'),
+('Glen', 'Hansard'),
+('Gore', 'Vidal'),
+('Goya', 'Toledo'),
+('Grace', 'Kelly'),
+('Graham', 'Chapman'),
+('Graham', 'Greene'),
+('Graham', 'McTavish'),
+('Greg', 'Kinnear'),
+('Gregory', 'Peck'),
+('Gustav', 'Fröhlich'),
+('Guy', 'Pearce'),
+('Gwyneth', 'Paltrow'),
+('Hardy', 'Krüger'),
+('Harrison', 'Ford'),
+('Harvey', 'Keitel'),
+('Harvey', 'Korman'),
+('Heath', 'Ledger'),
+('Helen', 'Hunt'),
+('Helena Bonham', 'Carter'),
+('Henry', 'Bergman'),
+('Henry', 'Fonda'),
+('Henry', 'Thomas'),
+('Herbert', 'Grönemeyer'),
+('Hilary', 'Swank'),
+('Holly', 'Hunter'),
+('Honor', 'Blackman'),
+('Hugh', 'Grant'),
+('Hugh', 'Jackman'),
+('Hugh', 'Walsh'),
+('Hugo', 'Weaving'),
+('Humphrey', 'Bogart'),
+('Iain', 'Rea'),
+('Ian', 'Holm'),
+('Ian', 'McKellen'),
+('Ice', 'Cube'),
+('Ingrid', 'Bergman'),
+('Irma P.', 'Hall'),
+('Irrfan', 'Khan'),
+('Isabelle', 'Huppert'),
+('Ivana', 'Baquero'),
+('J. T.', 'Walsh'),
+('J.K.', 'Simmons'),
+('Jack', 'Albertson'),
+('Jack', 'Black'),
+('Jack', 'Hawkins'),
+('Jack', 'Huston'),
+('Jack', 'Lemmon'),
+('Jack', 'McBrayer'),
+('Jack', 'Nicholson'),
+('Jack', 'Scanlon'),
+('Jack', 'Warden'),
+('Jackie', 'Chan'),
+('Jackie', 'Gleason'),
+('Jacob', 'Tremblay'),
+('Jaden', 'Smith'),
+('Jake', 'Gyllenhaal'),
+('Jake', 'Weber'),
+('James', 'Anderson'),
+('James', 'Brown'),
+('James', 'Caan'),
+('James Earl', 'Jones'),
+('James', 'Fox'),
+('James', 'Garner'),
+('James', 'McAvoy'),
+('James', 'Remar'),
+('James', 'Stewart'),
+('James', 'Woods'),
+('Jamie', 'Bell'),
+('Jamie', 'Foxx'),
+('Jamie Lee', 'Curtis'),
+('Jane', 'Adams'),
+('Jane Galloway', 'Heitz'),
+('Jane', 'Wyman'),
+('Jared', 'Gilman'),
+('Jared', 'Leto'),
+('Jason', 'Alexander'),
+('Jason', 'Clarke'),
+('Jason', 'Cope'),
+('Jason', 'Flemyng'),
+('Jason', 'Isaacs'),
+('Jason', 'London'),
+('Jason', 'Mewes'),
+('Jason', 'Mitchell'),
+('Jason', 'Robards'),
+('Jason', 'Schwartzman'),
+('Jason', 'Segel'),
+('Jason', 'Statham'),
+('Javier', 'Bardem'),
+('Jay', 'Baruchel'),
+('Jean', 'Arthur'),
+('Jean', 'Dujardin'),
+('Jean', 'Heywood'),
+('Jean-Louis', 'Trintignant'),
+('Jeff', 'Anderson'),
+('Jeff', 'Bridges'),
+('Jeff', 'Garlin'),
+('Jeff', 'Goldblum'),
+('Jeffrey', 'Donovan'),
+('Jena', 'Malone'),
+('Jennifer', 'Aniston'),
+('Jennifer', 'Connelly'),
+('Jennifer', 'Garner'),
+('Jennifer Jason', 'Leigh'),
+('Jennifer', 'Lawrence'),
+('Jennifer', 'Morrison'),
+('Jennifer', 'Saunders'),
+('Jeremy', 'Irons'),
+('Jerry', 'Nelson'),
+('Jesse', 'Borrego'),
+('Jesse', 'Eisenberg'),
+('Jessica', 'Alba'),
+('Jessica', 'Biel'),
+('Jessica', 'Chastain'),
+('Jessica', 'Lange'),
+('Jim', 'Broadbent'),
+('Jim', 'Carrey'),
+('Jim', 'Caviezel'),
+('Jim', 'Henson'),
+('Jimmy', 'Shergill'),
+('Jo', 'Hartley'),
+('Joan', 'Allen'),
+('Joan', 'Chen'),
+('Joan', 'Cusack'),
+('Joan', 'Fontaine'),
+('Joanne', 'Dru'),
+('Joaquin', 'Phoenix'),
+('Jodie', 'Foster'),
+('Joe', 'Pantoliano'),
+('Joe', 'Pesci'),
+('John', 'Belushi'),
+('John', 'Billingsley'),
+('John C.', 'Reilly'),
+('John Cameron', 'Mitchell'),
+('John', 'Cassavetes'),
+('John', 'Cazale'),
+('John', 'Cleese'),
+('John', 'Cusack'),
+('John', 'Fiedler'),
+('John', 'Gavin'),
+('John', 'Goodman'),
+('John', 'Hurt'),
+('John', 'Lennon'),
+('John', 'Lone'),
+('John', 'Malkovich'),
+('John', 'Savage'),
+('John', 'Travolta'),
+('John', 'Turturro'),
+('John', 'Wayne'),
+('Johnny', 'Depp'),
+('Jon', 'Lovitz'),
+('Jon', 'Voight'),
+('Jonah', 'Hill'),
+('Jonathan', 'Pryce'),
+('Jonathan Rhys', 'Meyers'),
+('Jonathan Taylor', 'Thomas'),
+('Jonny Lee', 'Miller'),
+('Jordan', 'Nagai'),
+('Joseph', 'Gordon-Levitt'),
+('Josh', 'Brolin'),
+('Josh', 'Hartnett'),
+('Judd', 'Hirsch'),
+('Jude', 'Law'),
+('Judi', 'Dench'),
+('Judith', 'ODea'),
+('Judy', 'Garland'),
+('Julia', 'Stiles'),
+('Julianne', 'Moore'),
+('Julie', 'Andrews'),
+('Julie', 'Christie'),
+('Julie', 'Delpy'),
+('Julie', 'Hagerty'),
+('Julie', 'Walters'),
+('Julietta', 'Novis'),
+('Juliette', 'Lewis'),
+('Justin', 'Timberlake'),
+('Jürgen', 'Prochnow'),
+('Jüri', 'Järvet'),
+('', 'Kajol'),
+('Kareem', 'Abdul-Jabbar'),
+('Karen', 'Allen'),
+('Karl', 'Hardman'),
+('Karl', 'Malden'),
+('Kate', 'Ashfield'),
+('Kate', 'Hudson'),
+('Kate', 'McKinnon'),
+('Kate', 'Winslet'),
+('Katharine', 'Ross'),
+('Katherine', 'Helmond'),
+('Kathy', 'Bates'),
+('Kazunari', 'Ninomiya'),
+('Keanu', 'Reeves'),
+('Keir', 'Dullea'),
+('Keira', 'Knightley'),
+('Keith', 'David'),
+('Ken', 'Watanabe'),
+('Kenneth', 'Branagh'),
+('Kerry', 'Washington'),
+('Kevin', 'Bacon'),
+('Kevin', 'Costner'),
+('Kevin', 'Spacey'),
+('Kiefer', 'Sutherland'),
+('Kim', 'Hunter'),
+('Kirsten', 'Dunst'),
+('Klaus', 'Wennemann'),
+('Kristen', 'Wiig'),
+('Kurt', 'Fuller'),
+('Kurt', 'Russell'),
+('Laura', 'Dern'),
+('Laura', 'Linney'),
+('Laurence', 'Fishburne'),
+('Laurence', 'Olivier'),
+('Lea', 'Thompson'),
+('Lee J.', 'Cobb'),
+('Leland', 'Palmer'),
+('Lena', 'Headey'),
+('Leo', 'McKern'),
+('Leonard', 'Frey'),
+('Leonard', 'Nimoy'),
+('Leonardo', 'DiCaprio'),
+('Liam', 'Neeson'),
+('Liev', 'Schreiber'),
+('Linda', 'Blair'),
+('Linda', 'Hamilton'),
+('Linda', 'Larkin'),
+('Linda', 'Manz'),
+('Lionel', 'Barrymore'),
+('Logan', 'Lerman'),
+('Lou', 'Romano'),
+('Louise', 'Fletcher'),
+('Lubna', 'Azabal'),
+('Lucy', 'Liu'),
+('Lupita', 'Nyongo'),
+('Macaulay', 'Culkin'),
+('Madeleine', 'Stowe'),
+('Madeline', 'Carroll'),
+('Mads', 'Mikkelsen'),
+('Maggie', 'Grace'),
+('Malin', 'Ã…kerman'),
+('Mami', 'Koyama'),
+('Mandy', 'Moore'),
+('Mandy', 'Patinkin'),
+('Marc', 'Anthony'),
+('Marcia Gay', 'Harden'),
+('Margaret', 'Avery'),
+('Margot', 'Robbie'),
+('Maribel', 'Verdú'),
+('Marilyn', 'Monroe'),
+('Marisa', 'Berenson'),
+('Marisa', 'Tomei'),
+('Mark', 'Hamill'),
+('Mark', 'Ruffalo'),
+('Mark', 'Rylance'),
+('Mark', 'Wahlberg'),
+('Markéta', 'Irglová'),
+('Marlon', 'Brando'),
+('Marlon', 'Wayans'),
+('Martin', 'Balsam'),
+('Martin', 'Freeman'),
+('Martin', 'Landau'),
+('Martin', 'Sheen'),
+('Martina', 'Gedeck'),
+('Marty', 'Feldman'),
+('Mary', 'Gibbs'),
+('Mary Kay', 'Bergman'),
+('Mary', 'McDonnell'),
+('Mary Tyler', 'Moore'),
+('Mathieu', 'Kassovitz'),
+('Matt', 'Damon'),
+('Matt', 'Dillon'),
+('Matt', 'Stone'),
+('Matthew', 'Broderick'),
+('Matthew', 'Goode'),
+('Matthew', 'Macfadyen'),
+('Matthew', 'McConaughey'),
+('Max', 'Martini'),
+('Max von', 'Sydow'),
+('Maxim', 'Gaudette'),
+('Meat', 'Loaf'),
+('Meg', 'Ryan'),
+('Mel', 'Gibson'),
+('Melinda', 'Dillon'),
+('Melissa', 'Benoist'),
+('Melissa', 'McCarthy'),
+('Melora', 'Walters'),
+('Meredith', 'Braun'),
+('Meryl', 'Streep'),
+('Mia', 'Farrow'),
+('Michael B.', 'Jordan'),
+('Michael', 'Biehn'),
+('Michael', 'Caine'),
+('Michael Clarke', 'Duncan'),
+('Michael', 'Douglas'),
+('Michael', 'Fassbender'),
+('Michael J.', 'Fox'),
+('Michael', 'Keaton'),
+('Michael', 'Madsen'),
+('Michael', 'Peña'),
+('Michael', 'Pitt'),
+('Michael', 'Rapaport'),
+('Michael', 'Sheen'),
+('Michelle', 'Pfeiffer'),
+('Mickey', 'Rourke'),
+('Mike', 'Myers'),
+('Mila', 'Kunis'),
+('Miles', 'Teller'),
+('Ming-Na', 'Wen'),
+('Miriam', 'Shor'),
+('Mitsuo', 'Iwata'),
+('Monica', 'Potter'),
+('Montgomery', 'Clift'),
+('Morena', 'Baccarin'),
+('Morgan', 'Freeman'),
+('Myrna', 'Loy'),
+('Mélanie', 'Laurent'),
+('Mélissa', 'Désormeaux-Poulin'),
+('Naomi', 'Watts'),
+('Nat', 'Wolff'),
+('Natalie', 'Dessay'),
+('Natalie', 'Martinez'),
+('Natalie', 'Portman'),
+('Natalya', 'Bondarchuk'),
+('Nathalie', 'Boltt'),
+('Nathan', 'Fillion'),
+('Nawazuddin', 'Siddiqui'),
+('Ned', 'Beatty'),
+('Neel', 'Sethi'),
+('Nicholas', 'Hoult'),
+('Nick', 'Frost'),
+('Nick', 'Moran'),
+('Nick', 'Nolte'),
+('Nicolas', 'Cage'),
+('Nicole', 'Kidman'),
+('Nimrat', 'Kaur'),
+('Noah', 'Emmerich'),
+('Noah', 'Taylor'),
+('Norma', 'Crane'),
+('Norman', 'Reedus'),
+('Nozomu', 'Sasaki'),
+('OShea Jackson', 'Jr.'),
+('Octavia', 'Spencer'),
+('Olivia', 'Wilde'),
+('Olivia', 'Williams'),
+('Olivia de', 'Havilland'),
+('Omar', 'Sharif'),
+('Orlando', 'Bloom'),
+('Oscar', 'Isaac'),
+('Ossie', 'Davis'),
+('Owen', 'Wilson'),
+('P.J.', 'Soles'),
+('Paddy', 'Considine'),
+('Patricia', 'Arquette'),
+('Patricia', 'Clarkson'),
+('Patrick', 'McGoohan'),
+('Patrick', 'Swayze'),
+('Patton', 'Oswalt'),
+('Paul', 'Anka'),
+('Paul', 'Dano'),
+('Paul', 'Freeman'),
+('Paul', 'Giamatti'),
+('Paul', 'Henreid'),
+('Paul', 'McCartney'),
+('Paul', 'Newman'),
+('Paul', 'Scofield'),
+('Paulette', 'Goddard'),
+('Penélope', 'Cruz'),
+('Peter', 'Billingsley'),
+('Peter', 'Boyle'),
+('Peter', 'Dinklage'),
+('Peter', 'Finch'),
+('Peter', 'OToole'),
+('Peter', 'Ostrum'),
+('Peter', 'Sellers'),
+('Philip Seymour', 'Hoffman'),
+('Phillip', 'Terry'),
+('Phyllis', 'Smith'),
+('Piper', 'Laurie'),
+('Preity', 'Zinta'),
+('Quinton', 'Aaron'),
+('Rachel', 'McAdams'),
+('Rachel', 'Weisz'),
+('Ralph', 'Fiennes'),
+('Ralph', 'Macchio'),
+('Randy', 'Quaid'),
+('Rani', 'Mukerji'),
+('Raoul Max', 'Trujillo'),
+('Ray', 'Bolger'),
+('Ray', 'Milland'),
+('Rebecca De', 'Mornay'),
+('Reese', 'Witherspoon'),
+('Regina', 'King'),
+('Rene', 'Russo'),
+('Renée', 'Zellweger'),
+('Rex', 'Harrison'),
+('Richard', 'Armitage'),
+('Richard', 'Attenborough'),
+('Richard', 'Crenna'),
+('Richard', 'Dreyfuss'),
+('Richard', 'Farnsworth'),
+('Richard', 'Gere'),
+('Richard', 'Harris'),
+('Richard', 'Kind'),
+('Richard', 'Widmark'),
+('River', 'Phoenix'),
+('Riz', 'Ahmed'),
+('Robert De', 'Niro'),
+('Robert Downey', 'Jr.'),
+('Robert', 'Duvall'),
+('Robert', 'Hays'),
+('Robert', 'MacNaughton'),
+('Robert', 'Patrick'),
+('Robert', 'Redford'),
+('Robert', 'Ryan'),
+('Robert Sean', 'Leonard'),
+('Robert', 'Shaw'),
+('Roberts', 'Blossom'),
+('Robin', 'Williams'),
+('Robin', 'Wright'),
+('Rodrigo', 'Santoro'),
+('Romola', 'Garai'),
+('Ron', 'Livingston'),
+('Rooney', 'Mara'),
+('Rory', 'Cochrane'),
+('Rosamund', 'Pike'),
+('Rosario', 'Dawson'),
+('Roy', 'Scheider'),
+('Ruby', 'Dee'),
+('Rudy', 'Youngblood'),
+('Rufus', 'Sewell'),
+('', 'Rufus'),
+('Rupert', 'Grint'),
+('Russell', 'Brand'),
+('Russell', 'Crowe'),
+('Russell', 'Means'),
+('Rutger', 'Hauer'),
+('Ruth', 'Gordon'),
+('Ryan', 'Gosling'),
+('Ryan', 'Hurst'),
+('Ryan', 'ONeal'),
+('Ryan', 'Potter'),
+('Ryan', 'Reynolds'),
+('Sam', 'Elliott'),
+('Sam', 'Neill'),
+('Sam', 'Riley'),
+('Sam', 'Rockwell'),
+('Sam', 'Worthington'),
+('Samantha', 'Morton'),
+('Samuel L.', 'Jackson'),
+('Sandra', 'Bullock'),
+('Sanjay', 'Dutt'),
+('Sarah', 'Berry'),
+('Sarah Jane', 'Morris'),
+('Sarah Jessica', 'Parker'),
+('Sarah', 'Polley'),
+('Sarah', 'Silverman'),
+('Scarlett', 'Johansson'),
+('Scott', 'Adsit'),
+('Scott', 'Glenn'),
+('Scott', 'Weinger'),
+('Seamus', 'Davey-Fitzpatrick'),
+('Sean', 'Connery'),
+('Sean Patrick', 'Flanery'),
+('Sean', 'Penn'),
+('Sean', 'Young'),
+('Sebastian', 'Koch'),
+('Sela', 'Ward'),
+('Sergi', 'López'),
+('Seth', 'Rogen'),
+('Shah Rukh', 'Khan'),
+('Shailene', 'Woodley'),
+('Sharlto', 'Copley'),
+('Sharon', 'Stone'),
+('Shelley', 'Duvall'),
+('Shirley', 'MacLaine'),
+('Sigourney', 'Weaver'),
+('Simon', 'McBurney'),
+('Simon', 'Pegg'),
+('Sissy', 'Spacek'),
+('Soha Ali', 'Khan'),
+('Sophie Kennedy', 'Clark'),
+('Sophie', 'Marceau'),
+('Sophie', 'Okonedo'),
+('Spencer', 'Breslin'),
+('Spencer', 'Tracy'),
+('Stanley', 'Holloway'),
+('Stephen', 'Baldwin'),
+('Stephen', 'Graham'),
+('Stephen', 'Rea'),
+('Stephen', 'Trask'),
+('Stephen', 'Young'),
+('Sterling', 'Hayden'),
+('Steve', 'Carell'),
+('Steve', 'Coogan'),
+('Steve', 'McQueen'),
+('Steven', 'Bauer'),
+('Suraj', 'Sharma'),
+('Sylvester', 'Stallone'),
+('Sylvia', 'Miles'),
+('Talia', 'Shire'),
+('Teri', 'Garr'),
+('Teri', 'Hatcher'),
+('Terrence', 'Howard'),
+('Terry', 'Gilliam'),
+('Tessa', 'Mitchell'),
+('Thandie', 'Newton'),
+('Thomas', 'Kretschmann'),
+('Thomas', 'Mitchell'),
+('Thomas', 'Turgoose'),
+('Thora', 'Birch'),
+('Tilda', 'Swinton'),
+('Tim', 'Allen'),
+('Tim Blake', 'Nelson'),
+('Tim', 'Robbins'),
+('Tim', 'Roth'),
+('Tobey', 'Maguire'),
+('Toby', 'Kebbell'),
+('Tom', 'Berenger'),
+('Tom', 'Cruise'),
+('Tom', 'Hanks'),
+('Tom', 'Hardy'),
+('Tom', 'Hulce'),
+('Tom', 'Skerritt'),
+('Tommy Lee', 'Jones'),
+('Toni', 'Collette'),
+('Tony', 'Curtis'),
+('Tony', 'Revolori'),
+('Tony', 'Roberts'),
+('Tony', 'Todd'),
+('Trey', 'Parker'),
+('Trini', 'Alvarado'),
+('Tsuyoshi', 'Ihara'),
+('Tyler', 'Hoechlin'),
+('Ulrich', 'Mühe'),
+('Uma', 'Thurman'),
+('Val', 'Kilmer'),
+('Valeria', 'Golino'),
+('Vanessa', 'Bauche'),
+('Vera', 'Farmiga'),
+('Vera', 'Miles'),
+('Vernon', 'Dobtcheff'),
+('Veronica', 'Cartwright'),
+('Vicellous Reon', 'Shannon'),
+('Viggo', 'Mortensen'),
+('Vin', 'Diesel'),
+('Vincent', 'Cassel'),
+('Ving', 'Rhames'),
+('Vinnie', 'Jones'),
+('Viola', 'Davis'),
+('Vivica A.', 'Fox'),
+('Vivien', 'Leigh'),
+('Walt', 'Disney'),
+('Walter', 'Connolly'),
+('Wendy', 'Hiller'),
+('Whoopi', 'Goldberg'),
+('Wil', 'Wheaton'),
+('Wiley', 'Wiggins'),
+('Wilford', 'Brimley'),
+('Will', 'Ferrell'),
+('Will', 'Forte'),
+('Will', 'Patton'),
+('Will', 'Poulter'),
+('Will', 'Smith'),
+('Willem', 'Dafoe'),
+('William', 'Atherton'),
+('William H.', 'Macy'),
+('William', 'Holden'),
+('William', 'Hurt'),
+('William', 'Shatner'),
+('William', 'Sylvester'),
+('Winona', 'Ryder'),
+('Woody', 'Allen'),
+('Woody', 'Harrelson'),
+('Zach', 'Galifianakis'),
+('Zachary', 'Levi'),
+('Zachary', 'Quinto'),
+('Zoe', 'Saldana'),
+('Zooey', 'Deschanel');
+
+INSERT INTO sem_2.cast VALUES
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+(1, 873, 'Neytiri'),
+(13, 873, 'Nyota Uhura'),
+(26, 873, 'Gamora'),
+(1, 772, 'Dr. Grace Augustine'),
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+(15, 130, 'Bruce Wayne'),
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+(188, 130, 'Michael Burry'),
+(311, 130, 'Dick "Dicky" Eklund'),
+(336, 130, 'Patrick Bateman'),
+(369, 130, 'Trevor Reznik'),
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+(33, 588, 'Alfred Pennyworth'),
+(84, 588, 'Jasper'),
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+(42, 728, 'Ron Weasley'),
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+(31, 246, 'Hermione Granger'),
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+(9, 704, 'Tony Stark / Iron Man'),
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+(9, 124, 'Steve Rogers / Captain America'),
+(22, 124, 'Steve Rogers / Captain America'),
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+(62, 332, 'Gandalf the White'),
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+(59, 331, 'Father Vito Cornelius'),
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+(35, 483, 'Jillian Holtzmann'),
+(36, 493, 'Katsumoto'),
+(291, 493, 'General Tadamichi Kuribayashi'),
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+(300, 516, 'Captain Spock'),
+(39, 536, 'Laurie Jupiter / Silk Spectre II'),
+(39, 70, 'Jon Osterman / Dr. Manhattan'),
+(87, 70, 'Will Bloom'),
+(106, 70, 'Russell Hammond'),
+(39, 101, 'Sally Jupiter / Silk Spectre'),
+(40, 858, 'Jim Bridger'),
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+(48, 566, 'Mark Watney'),
+(65, 566, 'Staff Sgt. Colin Sullivan'),
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+(43, 643, 'Will Turner'),
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+(44, 793, 'Pi Patel (16 / 17 Years)'),
+(44, 336, 'Pi Patel (Adult)'),
+(420, 336, 'Saajan Fernandes'),
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+(45, 438, 'Sullivan (voice)'),
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+(46, 746, 'Dr. Ryan Stone'),
+(158, 746, 'Leigh Anne Tuohy'),
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+(198, 290, 'Ulysses Everett McGill'),
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+(75, 219, 'Major König'),
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\ No newline at end of file
diff --git a/practice_2024/Seminar_2/solved_sem2.sql b/practice_2024/Seminar_2/solved_sem2.sql
new file mode 100644
index 0000000..a617b58
--- /dev/null
+++ b/practice_2024/Seminar_2/solved_sem2.sql
@@ -0,0 +1,236 @@
+-- 1. Создать Ñхему sem_2:
+
+CREATE SCHEMA IF NOT EXISTS sem_2;
+
+--2. Создать Ñледующие таблицы. Какие первичные и внешние ключи нужны здеÑÑŒ? Создайте их.
+-- Колонку id заведите типа serial. Как называетÑÑ Ñ‚Ð°ÐºÐ¾Ð¹ вид ключа?
+/*
+movies
+id (идентификатор фильма)
+title (название фильма)
+release_year (год выпуÑка)
+duration_min (длительноÑÑ‚ÑŒ в мин)
+rating (рейтинг)
+director (режиÑÑÑ‘Ñ€)
+*/
+
+DROP TABLE IF EXISTS sem_2.movies CASCADE;
+CREATE TABLE sem_2.movies (
+ id SERIAL PRIMARY KEY,
+ title VARCHAR(100),
+ release_year INTEGER,
+ duration_min INTEGER,
+ rating NUMERIC,
+ director VARCHAR(50)
+);
+
+/*
+actors
+id (идентификатор актёра)
+first_nm (Ð¸Ð¼Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð°)
+last_nm (Ñ„Ð°Ð¼Ð¸Ð»Ð¸Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð°)
+*/
+
+DROP TABLE IF EXISTS sem_2.actors CASCADE;
+CREATE TABLE sem_2.actors (
+ id SERIAL PRIMARY KEY,
+ first_nm VARCHAR(50),
+ last_nm VARCHAR(50)
+);
+
+/*
+cast
+movie_id (идентификатор фильма)
+actor_id (идентификатор актёра)
+character_nm (перÑонаж)
+*/
+
+DROP TABLE IF EXISTS sem_2.cast;
+CREATE TABLE sem_2.cast (
+ movie_id SERIAL REFERENCES sem_2.movies(id),
+ actor_id SERIAL REFERENCES sem_2.actors(id),
+ character_nm VARCHAR(100)
+);
+
+/*
+genres
+movie_id (идентификатор фильма)
+genre_nm (жанр)
+*/
+
+DROP TABLE IF EXISTS sem_2.genres;
+CREATE TABLE sem_2.genres (
+ movie_id SERIAL,
+ genre_nm VARCHAR(50),
+ CONSTRAINT FK_GenresMovie FOREIGN KEY (movie_id) REFERENCES sem_2.movies(id)
+);
+
+--3. Заполнить таблицу movies 3 теÑтовыми Ñтроками.
+
+INSERT INTO sem_2.movies (title, release_year, duration_min, rating, director) VALUES
+('Avatar', 2009, 162, 7.8, 'James Cameron'),
+('Harry Potter and the Half-Blood Prince', 2009, 153, 7.6, 'David Yates'),
+('The Avengers', 2012, 143, 8.0, 'Joss Whedon');
+
+--4. Добавить в таблицу movies новое поле `comment`.
+
+ALTER TABLE sem_2.movies ADD comment VARCHAR;
+
+--5. ÐапиÑать Ð·Ð°Ð¿Ñ€Ð¾Ñ Ð´Ð»Ñ Ð¾Ð±Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð»Ñ Ñ ÐºÐ¾Ð¼Ð¼ÐµÐ½Ñ‚Ð°Ñ€Ð¸ÐµÐ¼.
+-- Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð¹ Ñтроки необходимо указать Ñвой комментарий.
+-- Подумайте, как Ñто Ñделать одной операций `UPDATE`, а не пÑтью разными запроÑами.
+
+UPDATE sem_2.movies
+SET comment = CASE
+WHEN title = 'Avatar' THEN 'понравилÑÑ'
+WHEN title = 'Harry Potter and the Half-Blood Prince' THEN 'не понравилÑÑ'
+WHEN title = 'The Avengers' THEN 'воÑторг'
+END
+WHERE title IN (SELECT title FROM sem_2.movies);
+
+--6. Удалить одну из Ñтрок таблицы на выбор.
+
+DELETE FROM sem_2.movies
+WHERE title = 'Avatar';
+
+--7. ОчиÑтить таблицу, иÑÐ¿Ð¾Ð»ÑŒÐ·ÑƒÑ Ð¾Ð¿ÐµÑ€Ð°Ñ‚Ð¾Ñ€ группы DDL.
+
+SELECT *
+FROM sem_2.movies;
+
+TRUNCATE TABLE sem_2.movies CASCADE;
+
+--8. Снова заполните таблицу и обратите внимание на идентификаторы.
+
+INSERT INTO sem_2.movies (title, release_year, duration_min, rating, director) VALUES
+('Avatar', 2009, 162, 7.8, 'James Cameron'),
+('Harry Potter and the Half-Blood Prince', 2009, 153, 7.6, 'David Yates'),
+('The Avengers', 2012, 143, 8.0, 'Joss Whedon');
+
+SELECT *
+FROM sem_2.movies;
+
+--Ð”Ð»Ñ Ñ€ÐµÐ°Ð»ÑŒÐ½Ð¾Ð³Ð¾ ÑƒÐ´Ð°Ð»ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð¶Ð½Ð¾ иÑпользовать TRUNCATE TABLE table_name RESTART IDENTITY;
+
+TRUNCATE TABLE sem_2.movies RESTART IDENTITY CASCADE;
+
+--9. Удалить из таблицы Ñтолбец Ñ ÐºÐ¾Ð¼Ð¼ÐµÐ½Ñ‚Ð°Ñ€Ð¸ÐµÐ¼.
+
+ALTER TABLE sem_2.movies DROP comment;
+
+--10. ЗапуÑтить операции вÑтавки из отдельного файла
+
+--11. Ðайдите вÑе фильмы жанра Crime. ВывеÑти название фильма, год выпуÑка и рейтинг
+
+SELECT title, release_year, rating
+FROM sem_2.movies t1
+INNER JOIN sem_2.genres t2
+ ON t1.id = t2.movie_id
+ and t2.genre_nm = 'Crime';
+
+--12. Ðайдите ID актёров, по которым нет информации о фильмах, в которых они ÑнималиÑÑŒ
+
+SELECT DISTINCT t1.id
+FROM sem_2.actors t1
+LEFT JOIN sem_2.cast t2
+ON t1.id = t2.actor_id
+WHERE t2.movie_id IS NULL;
+
+--13. Как зовут актёра, игравшего 'Harry Potter'?
+
+SELECT DISTINCT first_nm || ' ' || last_nm
+FROM sem_2.cast t1
+INNER JOIN sem_2.actors t2
+ ON t1.actor_id = t2.id
+WHERE character_nm = 'Harry Potter';
+
+--14. Выведите вÑе фильмы 90Ñ… жанров Drama и Romance
+SELECT title, release_year, t2.genre_nm
+FROM sem_2.movies t1
+INNER JOIN sem_2.genres t2
+ ON t1.id = t2.movie_id
+ AND t2.genre_nm IN ('Drama', 'Romance')
+ AND release_year BETWEEN 1990 AND 1999;
+
+--15. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ жанра найдите кол-во фильмов и Ñредний рейтинг
+-- ОтÑортировать по убыванию Ñреднего рейтинга, при равенÑтве по убыванию кол-ва фильмов
+SELECT genre_nm, COUNT(DISTINCT t1.id) AS film_cnt, CAST(AVG(rating) AS NUMERIC(3, 1)) AS avg_rating
+FROM sem_2.movies t1
+INNER JOIN sem_2.genres t2
+ ON t1.id = t2.movie_id
+GROUP BY 1
+ORDER BY 3 DESC, 2 DESC;
+
+--16. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ актёра выведите кол-во фильмов, в которых он Ñыграл (может быть 0).
+-- ОтÑортировать по убыванию кол-ва фильмов
+
+SELECT DISTINCT first_nm || ' ' || last_nm as actor, COUNT(DISTINCT movie_id)
+FROM sem_2.actors t1
+LEFT JOIN sem_2.cast t2
+ ON t2.actor_id = t1.id
+GROUP BY 1
+ORDER BY 2 DESC;
+
+--17. Ðайдите вÑе фильмы, в которых играл Jake Gyllenhaal. Выведите название фильма,
+-- год выпуÑка и длительноÑÑ‚ÑŒ. ОтÑортируйте по увеличению длительноÑти фильма
+
+SELECT title, release_year, duration_min
+FROM sem_2.actors t1
+INNER JOIN sem_2.cast t2
+ ON t1.id = t2.actor_id
+ AND t1.first_nm = 'Jake'
+ AND t1.last_nm = 'Gyllenhaal'
+INNER JOIN sem_2.movies t3
+ ON t2.movie_id = t3.id
+ORDER BY 3;
+
+--18. Выведите вÑе фильмы Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð¾Ð¼, который играл 'Captain Jack Sparrow'
+SELECT DISTINCT t3.title
+FROM sem_2.cast t1
+INNER JOIN sem_2.cast t2
+ ON t2.actor_id = t1.actor_id and t1.character_nm = 'Captain Jack Sparrow'
+INNER JOIN sem_2.movies t3
+ ON t3.id = t2.movie_id;
+
+--19. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ фильма выведите его жанры через запÑтую в виде Ñтроки
+-- (например, Ñ Ð¿Ð¾Ð¼Ð¾Ñ‰ÑŒÑŽ STRING_AGG)
+-- ЕÑли Ð´Ð»Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð° не указан жанр, вывеÑти -.
+
+SELECT title,
+ CASE WHEN STRING_AGG(genre_nm, ', ') IS NOT NULL THEN STRING_AGG(genre_nm, ', ')
+ ELSE '-' END AS genre
+FROM sem_2.movies t1
+LEFT JOIN sem_2.genres t2
+ ON t1.id = t2.movie_id
+GROUP BY 1;
+
+--20. Ðайдите вÑех актёров, которых играли вмеÑте Ñ Leonardo DiCaprio.
+-- Опционально: вывеÑти фильмы, в которых они играли вмеÑте.
+
+SELECT DISTINCT t4.first_nm || ' ' || t4.last_nm as actor
+FROM sem_2.actors t1
+INNER JOIN sem_2.cast t2
+ ON t1.id = t2.actor_id
+ AND t1.first_nm = 'Leonardo'
+ AND t1.last_nm = 'DiCaprio'
+INNER JOIN sem_2.cast t3
+ USING (movie_id)
+INNER JOIN sem_2.actors t4
+ ON t3.actor_id = t4.id;
+
+SELECT DISTINCT t4.first_nm || ' ' || t4.last_nm as actor, title
+FROM sem_2.actors t1
+INNER JOIN sem_2.cast t2
+ ON t1.id = t2.actor_id
+ AND t1.first_nm = 'Leonardo'
+ AND t1.last_nm = 'DiCaprio'
+INNER JOIN sem_2.cast t3
+ USING (movie_id)
+INNER JOIN sem_2.actors t4
+ ON t3.actor_id = t4.id
+ AND t4.first_nm != 'Leonardo'
+ AND t4.last_nm != 'DiCaprio'
+INNER JOIN sem_2.movies t5
+ ON t3.movie_id = t5.id;
+
+
diff --git a/practice_2024/Seminar_2/tasks_sem2.sql b/practice_2024/Seminar_2/tasks_sem2.sql
new file mode 100644
index 0000000..c65f6d3
--- /dev/null
+++ b/practice_2024/Seminar_2/tasks_sem2.sql
@@ -0,0 +1,90 @@
+-- 1. Создать Ñхему sem_2:
+
+--2. Создать Ñледующие таблицы. Какие первичные и внешние ключи нужны здеÑÑŒ? Создайте их.
+-- Колонку id заведите типа serial. Как называетÑÑ Ñ‚Ð°ÐºÐ¾Ð¹ вид ключа?
+/*
+movies
+id (идентификатор фильма)
+title (название фильма)
+release_year (год выпуÑка)
+duration_min (длительноÑÑ‚ÑŒ в мин)
+rating (рейтинг)
+director (режиÑÑÑ‘Ñ€)
+*/
+
+
+/*
+actors
+id (идентификатор актёра)
+first_nm (Ð¸Ð¼Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð°)
+last_nm (Ñ„Ð°Ð¼Ð¸Ð»Ð¸Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð°)
+*/
+
+
+/*
+cast
+movie_id (идентификатор фильма)
+actor_id (идентификатор актёра)
+character_nm (перÑонаж)
+*/
+
+/*
+genres
+movie_id (идентификатор фильма)
+genre_nm (жанр)
+*/
+
+
+--3. Заполнить таблицу movies 3 теÑтовыми Ñтроками.
+
+
+--4. Добавить в таблицу movies новое поле `comment`.
+
+
+--5. ÐапиÑать Ð·Ð°Ð¿Ñ€Ð¾Ñ Ð´Ð»Ñ Ð¾Ð±Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð»Ñ Ñ ÐºÐ¾Ð¼Ð¼ÐµÐ½Ñ‚Ð°Ñ€Ð¸ÐµÐ¼.
+-- Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð¹ Ñтроки необходимо указать Ñвой комментарий.
+-- Подумайте, как Ñто Ñделать одной операций `UPDATE`, а не пÑтью разными запроÑами.
+
+
+--6. Удалить одну из Ñтрок таблицы на выбор.
+
+
+
+--7. ОчиÑтить таблицу, иÑÐ¿Ð¾Ð»ÑŒÐ·ÑƒÑ Ð¾Ð¿ÐµÑ€Ð°Ñ‚Ð¾Ñ€ группы DDL.
+
+
+--8. Снова заполните таблицу и обратите внимание на идентификаторы. Снова очиÑтите полноÑтью.
+
+
+--9. Удалить из таблицы Ñтолбец Ñ ÐºÐ¾Ð¼Ð¼ÐµÐ½Ñ‚Ð°Ñ€Ð¸ÐµÐ¼.
+
+
+--10. ЗапуÑтить операции вÑтавки из отдельного файла
+
+--11. Ðайдите вÑе фильмы жанра Crime. ВывеÑти название фильма, год выпуÑка и рейтинг
+
+--12. Ðайдите ID актёров, по которым нет информации о фильмах, в которых они ÑнималиÑÑŒ
+
+--13. Как зовут актёра, игравшего 'Harry Potter'?
+
+--14. Выведите вÑе фильмы 90Ñ… жанров Drama и Romance
+
+--15. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ жанра найдите кол-во фильмов и Ñредний рейтинг
+-- ОтÑортировать по убыванию Ñреднего рейтинга, при равенÑтве по убыванию кол-ва фильмов
+
+--16. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ актёра выведите кол-во фильмов, в которых он Ñыграл (может быть 0).
+-- ОтÑортировать по убыванию кол-ва фильмов
+
+--17. Ðайдите вÑе фильмы, в которых играл Jake Gyllenhaal. Выведите название фильма,
+-- год выпуÑка и длительноÑÑ‚ÑŒ. ОтÑортируйте по увеличению длительноÑти фильма
+
+--18. Выведите вÑе фильмы Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð¾Ð¼, который играл 'Captain Jack Sparrow'
+
+--19. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ фильма выведите его жанры через запÑтую в виде Ñтроки
+-- (например, Ñ Ð¿Ð¾Ð¼Ð¾Ñ‰ÑŒÑŽ STRING_AGG)
+-- ЕÑли Ð´Ð»Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð° не указан жанр, вывеÑти -.
+
+--20. Ðайдите вÑех актёров, которых играли вмеÑте Ñ Leonardo DiCaprio.
+-- Опционально: вывеÑти фильмы, в которых они играли вмеÑте.
+
+
--
GitLab
From 75df83b7950c18d93d1705b092fabcb1b6ffce66 Mon Sep 17 00:00:00 2001
From: Sofia Samoilova <samoilova.se@phystech.edu>
Date: Thu, 1 Feb 2024 15:42:58 +0000
Subject: [PATCH 7/7] Update 2 files
- /practice_2024/Seminar_1/solved_sem1.sql
- /practice_2024/Seminar_2/solved_sem2.sql
---
practice_2024/Seminar_1/solved_sem1.sql | 209 ---------------------
practice_2024/Seminar_2/solved_sem2.sql | 236 ------------------------
2 files changed, 445 deletions(-)
delete mode 100644 practice_2024/Seminar_1/solved_sem1.sql
delete mode 100644 practice_2024/Seminar_2/solved_sem2.sql
diff --git a/practice_2024/Seminar_1/solved_sem1.sql b/practice_2024/Seminar_1/solved_sem1.sql
deleted file mode 100644
index 787a192..0000000
--- a/practice_2024/Seminar_1/solved_sem1.sql
+++ /dev/null
@@ -1,209 +0,0 @@
--- 1. Создать Ñхему sem_1:
-
-CREATE SCHEMA IF NOT EXISTS sem_1;
-
---2. Создать таблицу sem_1.movies Ñ Ð¿Ð¾Ð»Ñми
--- title (название фильма)
--- release_year (год выпуÑка)
--- duration_min (длительноÑÑ‚ÑŒ в мин)
--- genre (жанры)
--- rating (рейтинг)
--- director (режиÑÑÑ‘Ñ€)
--- star_1 (1й главный актёр)
--- star_2 (2й главный актёр)
-
-DROP TABLE IF EXISTS sem_1.movies;
-CREATE TABLE sem_1.movies (
- title VARCHAR(100),
- release_year INTEGER,
- duration_min INTEGER,
- genre VARCHAR,
- rating NUMERIC,
- director VARCHAR(50),
- star_1 VARCHAR(50),
- star_2 VARCHAR(50)
-);
-
---3. ПоÑмотреть метаданные о таблице и Ñтолбцах в information_schema.tables и information_schema.columns
-
-SELECT *
-FROM information_schema.tables
-WHERE table_schema = 'sem_1';
-
-SELECT *
-FROM information_schema.columns
-WHERE table_schema = 'sem_1';
-
---4. Выведи вÑÑ‘ Ñодержимое таблицы
-SELECT *
-FROM sem_1.movies;
-
---5. Выведи вÑе Ð½Ð°Ð·Ð²Ð°Ð½Ð¸Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð¾Ð² и их год выпуÑка
-SELECT title, release_year
-FROM sem_1.movies;
-
---6. Выведите вÑех режиÑÑёров, вÑтречающихÑÑ Ð² таблице
-SELECT DISTINCT director
-FROM sem_1.movies;
-
-
---7. Ð’ каком году был ÑнÑÑ‚ 'Fight Club'? ВывеÑти только год
-
-SELECT release_year
-FROM sem_1.movies
-WHERE title = 'Fight Club';
-
---8. Выведите вÑе фильмы 'Christopher Nolan', год и рейтинг
-
-SELECT title, release_year,rating
-FROM sem_1.movies
-WHERE director = 'Christopher Nolan';
-
---9. Выведите вÑе фильмы, в которых главную роль Ñыграл 'Christian Bale'
-
-SELECT title
-FROM sem_1.movies
-WHERE star_1 = 'Christian Bale' OR star_2 = 'Christian Bale';
-
---10. Ðайдите вÑе комедии (Comedy) длительноÑтью меньше 2Ñ… чаÑов и Ñ Ñ€ÐµÐ¹Ñ‚Ð¸Ð½Ð³Ð¾Ð¼ не менее 8.5
--- Выводить название фильма, год, длительноÑÑ‚ÑŒ, жанр, рейтинг
-
-SELECT title, release_year, duration_min, genre, rating
-FROM sem_1.movies
-WHERE genre LIKE '%Comedy%' AND duration_min < 120 AND rating >= 8.5;
-
---11. Выведите вÑе фильмы, ÑнÑтые до 2010 года, в которых ÑнималÑÑ 'Leonardo DiCaprio' или 'Tom Hanks'.
--- Выводить название фильма, год, двух главных героев
-
-SELECT title, release_year, star_1, star_2
-FROM sem_1.movies
-WHERE release_year < 2010 AND (star_1 IN ('Leonardo DiCaprio','Tom Hanks') OR star_2 IN ('Leonardo DiCaprio','Tom Hanks'));
-
---12. Выведите вÑе фильмы жанра 'Drama'
--- Учитывайте, как лежат данные в Ñтолбце genre
-
-SELECT *
-FROM sem_1.movies
-WHERE genre LIKE '%Drama%';
-
---13. Выведите вÑех актёров, которых зовут Jack, Sam или John (можно только Ð´Ð»Ñ star_1).
-
-SELECT DISTINCT star_1 AS actor
-FROM sem_1.movies
-WHERE star_1 SIMILAR TO '(Jack|Sam|John) %'
-UNION
-SELECT DISTINCT star_2 AS actor
-FROM sem_1.movies
-WHERE star_2 SIMILAR TO '(Jack|Sam|John) %';
-
---14. Выведите вÑе Ð½Ð°Ð·Ð²Ð°Ð½Ð¸Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð¾Ð², в которых ÑодержитÑÑ Ð»Ð¸Ð±Ð¾ цифра 3, либо цифра 7.
-
-SELECT DISTINCT title
-FROM sem_1.movies
-WHERE title SIMILAR TO '%(7|3)%';
-
---15. Ðайдите кол-во фильмов, кол-во различных режиÑÑёров, Ñамый ранний и поздний год релиза
-
-SELECT COUNT(*) AS film_cnt,
- COUNT(DISTINCT director) AS director_cnt,
- MIN(release_year) AS min_year,
- MAX(release_year) AS max_year
-FROM sem_1.movies;
-
---16. Выведите Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ режиÑÑёра кол-во его фильмов. УпорÑдочить по убыванию кол-ва фильмов
-
-SELECT director, COUNT(*) AS film_cnt
-FROM sem_1.movies
-GROUP BY 1
-ORDER BY 2 desc;
-
---17. Сколько чаÑов займёт проÑмотр вÑех фильмов 'Quentin Tarantino'?
-
-SELECT SUM(duration_min) / 60 as ans
-FROM sem_1.movies
-WHERE director = 'Quentin Tarantino';
-
--- 18. Выведите вÑех актёров, которые были 1-м главным актёром в более чем 3Ñ… фильмах,
--- и кол-во таких фильмов ÑоответÑтвенно
-
-SELECT star_1, COUNT(*) AS film_cnt
-FROM sem_1.movies
-GROUP BY 1
-HAVING COUNT(*) > 3;
-
---19. Ðайдите вÑех режиÑÑёров 21го века (первый фильм был ÑнÑÑ‚ поÑле 2000го года). ВывеÑти режиÑÑёра и год первого фильма
-
-SELECT director, MIN(release_year) as first_film_year
-FROM sem_1.movies
-GROUP BY 1
-HAVING MIN(release_year) > 2000;
-
---20. Выведите фильм Ñ Ñамым большим рейтингом
-
-SELECT *
-FROM sem_1.movies
-ORDER BY rating desc
-LIMIT 1;
-
---21. Выведите Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ режиÑÑёра его Ñамый ранний фильм (при равенÑтве годов выводить Ñ Ð½Ð°Ð¸Ð±Ð¾Ð»ÑŒÑˆÐ¸Ð¼ рейтингом)
--- ВывеÑти Ñтобцы режиÑÑÑ‘Ñ€, название фильма, год, рейтинг
-
-SELECT DISTINCT ON (director) director, title, release_year, rating
-FROM sem_1.movies
-ORDER BY 1, 4 desc;
-
---22. Ðайдите кол-во и Ñредний рейтинг фильмов Ð´Ð»Ñ Ð´Ð²ÑƒÑ… категорий: фильмы 20го и 21го века
--- Округлить до двух знаков поÑле запÑтой
-
-SELECT
- CASE WHEN release_year <= 2000 THEN '20й век'
- ELSE '21й век'
- END AS category,
- CAST(AVG(rating) AS NUMERIC(3, 2)) AS avg_rating,
- COUNT(DISTINCT title) as film_cnt
-FROM sem_1.movies
-GROUP BY 1;
-
-
---Работа Ñ Ð´Ð°Ñ‚Ð°Ð¼Ð¸
-
---23. Создадим таблицу Ñ Ð¾Ð¿ÐµÑ€Ð°Ñ†Ð¸Ñми:
-
-DROP TABLE IF EXISTS sem_1.operations;
-CREATE TABLE sem_1.operations (
- operation_id SERIAL,
- operation_dt DATE,
- client_rk INTEGER,
- operation_amt INTEGER
-);
-
-INSERT INTO sem_1.operations (operation_dt, client_rk, operation_amt) VALUES
- ('2023-12-01', 1, 1000),
- ('2024-01-01', 2, 100),
- ('2024-01-05', 1, 10),
- ('2024-01-07', 5, 50),
- ('2024-01-15', 7, 500),
- ('2024-01-21', 3, 5000),
- ('2024-01-31', 9, 500),
- ('2024-02-01', 4, 500);
-;
-
--- 24. Как найти Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ клиента Ñумму операций за поÑледний меÑÑц? (еÑли ÑÐµÐ³Ð¾Ð´Ð½Ñ 2 февралÑ, то операции Ñчитаем Ñо 2го ÑнварÑ)
-
-SELECT client_rk, SUM (operation_amt) as last_mnth_sum
-FROM sem_1.operations
-WHERE operation_dt >= current_date - interval '1 month'
-GROUP BY 1;
-
--- 25. Как найти Ð´Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ клиента Ñреднюю Ñумму операций за текущий меÑÑц (еÑли ÑÐµÐ³Ð¾Ð´Ð½Ñ 2 февралÑ, то только за февраль)?
-
-SELECT client_rk, AVG (operation_amt) as last_mnth_sum
-FROM sem_1.operations
-WHERE DATE_TRUNC('month', operation_dt) = DATE_TRUNC('month', current_date)
-GROUP BY 1;
-
---26. Ðайдите Ñумму платежей в каждом квартале
-
-SELECT TO_CHAR(operation_dt, 'YYYY"-Q"Q') as quarter, SUM(operation_amt)
-FROM sem_1.operations
-GROUP BY 1
\ No newline at end of file
diff --git a/practice_2024/Seminar_2/solved_sem2.sql b/practice_2024/Seminar_2/solved_sem2.sql
deleted file mode 100644
index a617b58..0000000
--- a/practice_2024/Seminar_2/solved_sem2.sql
+++ /dev/null
@@ -1,236 +0,0 @@
--- 1. Создать Ñхему sem_2:
-
-CREATE SCHEMA IF NOT EXISTS sem_2;
-
---2. Создать Ñледующие таблицы. Какие первичные и внешние ключи нужны здеÑÑŒ? Создайте их.
--- Колонку id заведите типа serial. Как называетÑÑ Ñ‚Ð°ÐºÐ¾Ð¹ вид ключа?
-/*
-movies
-id (идентификатор фильма)
-title (название фильма)
-release_year (год выпуÑка)
-duration_min (длительноÑÑ‚ÑŒ в мин)
-rating (рейтинг)
-director (режиÑÑÑ‘Ñ€)
-*/
-
-DROP TABLE IF EXISTS sem_2.movies CASCADE;
-CREATE TABLE sem_2.movies (
- id SERIAL PRIMARY KEY,
- title VARCHAR(100),
- release_year INTEGER,
- duration_min INTEGER,
- rating NUMERIC,
- director VARCHAR(50)
-);
-
-/*
-actors
-id (идентификатор актёра)
-first_nm (Ð¸Ð¼Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð°)
-last_nm (Ñ„Ð°Ð¼Ð¸Ð»Ð¸Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð°)
-*/
-
-DROP TABLE IF EXISTS sem_2.actors CASCADE;
-CREATE TABLE sem_2.actors (
- id SERIAL PRIMARY KEY,
- first_nm VARCHAR(50),
- last_nm VARCHAR(50)
-);
-
-/*
-cast
-movie_id (идентификатор фильма)
-actor_id (идентификатор актёра)
-character_nm (перÑонаж)
-*/
-
-DROP TABLE IF EXISTS sem_2.cast;
-CREATE TABLE sem_2.cast (
- movie_id SERIAL REFERENCES sem_2.movies(id),
- actor_id SERIAL REFERENCES sem_2.actors(id),
- character_nm VARCHAR(100)
-);
-
-/*
-genres
-movie_id (идентификатор фильма)
-genre_nm (жанр)
-*/
-
-DROP TABLE IF EXISTS sem_2.genres;
-CREATE TABLE sem_2.genres (
- movie_id SERIAL,
- genre_nm VARCHAR(50),
- CONSTRAINT FK_GenresMovie FOREIGN KEY (movie_id) REFERENCES sem_2.movies(id)
-);
-
---3. Заполнить таблицу movies 3 теÑтовыми Ñтроками.
-
-INSERT INTO sem_2.movies (title, release_year, duration_min, rating, director) VALUES
-('Avatar', 2009, 162, 7.8, 'James Cameron'),
-('Harry Potter and the Half-Blood Prince', 2009, 153, 7.6, 'David Yates'),
-('The Avengers', 2012, 143, 8.0, 'Joss Whedon');
-
---4. Добавить в таблицу movies новое поле `comment`.
-
-ALTER TABLE sem_2.movies ADD comment VARCHAR;
-
---5. ÐапиÑать Ð·Ð°Ð¿Ñ€Ð¾Ñ Ð´Ð»Ñ Ð¾Ð±Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð»Ñ Ñ ÐºÐ¾Ð¼Ð¼ÐµÐ½Ñ‚Ð°Ñ€Ð¸ÐµÐ¼.
--- Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð¹ Ñтроки необходимо указать Ñвой комментарий.
--- Подумайте, как Ñто Ñделать одной операций `UPDATE`, а не пÑтью разными запроÑами.
-
-UPDATE sem_2.movies
-SET comment = CASE
-WHEN title = 'Avatar' THEN 'понравилÑÑ'
-WHEN title = 'Harry Potter and the Half-Blood Prince' THEN 'не понравилÑÑ'
-WHEN title = 'The Avengers' THEN 'воÑторг'
-END
-WHERE title IN (SELECT title FROM sem_2.movies);
-
---6. Удалить одну из Ñтрок таблицы на выбор.
-
-DELETE FROM sem_2.movies
-WHERE title = 'Avatar';
-
---7. ОчиÑтить таблицу, иÑÐ¿Ð¾Ð»ÑŒÐ·ÑƒÑ Ð¾Ð¿ÐµÑ€Ð°Ñ‚Ð¾Ñ€ группы DDL.
-
-SELECT *
-FROM sem_2.movies;
-
-TRUNCATE TABLE sem_2.movies CASCADE;
-
---8. Снова заполните таблицу и обратите внимание на идентификаторы.
-
-INSERT INTO sem_2.movies (title, release_year, duration_min, rating, director) VALUES
-('Avatar', 2009, 162, 7.8, 'James Cameron'),
-('Harry Potter and the Half-Blood Prince', 2009, 153, 7.6, 'David Yates'),
-('The Avengers', 2012, 143, 8.0, 'Joss Whedon');
-
-SELECT *
-FROM sem_2.movies;
-
---Ð”Ð»Ñ Ñ€ÐµÐ°Ð»ÑŒÐ½Ð¾Ð³Ð¾ ÑƒÐ´Ð°Ð»ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð¶Ð½Ð¾ иÑпользовать TRUNCATE TABLE table_name RESTART IDENTITY;
-
-TRUNCATE TABLE sem_2.movies RESTART IDENTITY CASCADE;
-
---9. Удалить из таблицы Ñтолбец Ñ ÐºÐ¾Ð¼Ð¼ÐµÐ½Ñ‚Ð°Ñ€Ð¸ÐµÐ¼.
-
-ALTER TABLE sem_2.movies DROP comment;
-
---10. ЗапуÑтить операции вÑтавки из отдельного файла
-
---11. Ðайдите вÑе фильмы жанра Crime. ВывеÑти название фильма, год выпуÑка и рейтинг
-
-SELECT title, release_year, rating
-FROM sem_2.movies t1
-INNER JOIN sem_2.genres t2
- ON t1.id = t2.movie_id
- and t2.genre_nm = 'Crime';
-
---12. Ðайдите ID актёров, по которым нет информации о фильмах, в которых они ÑнималиÑÑŒ
-
-SELECT DISTINCT t1.id
-FROM sem_2.actors t1
-LEFT JOIN sem_2.cast t2
-ON t1.id = t2.actor_id
-WHERE t2.movie_id IS NULL;
-
---13. Как зовут актёра, игравшего 'Harry Potter'?
-
-SELECT DISTINCT first_nm || ' ' || last_nm
-FROM sem_2.cast t1
-INNER JOIN sem_2.actors t2
- ON t1.actor_id = t2.id
-WHERE character_nm = 'Harry Potter';
-
---14. Выведите вÑе фильмы 90Ñ… жанров Drama и Romance
-SELECT title, release_year, t2.genre_nm
-FROM sem_2.movies t1
-INNER JOIN sem_2.genres t2
- ON t1.id = t2.movie_id
- AND t2.genre_nm IN ('Drama', 'Romance')
- AND release_year BETWEEN 1990 AND 1999;
-
---15. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ жанра найдите кол-во фильмов и Ñредний рейтинг
--- ОтÑортировать по убыванию Ñреднего рейтинга, при равенÑтве по убыванию кол-ва фильмов
-SELECT genre_nm, COUNT(DISTINCT t1.id) AS film_cnt, CAST(AVG(rating) AS NUMERIC(3, 1)) AS avg_rating
-FROM sem_2.movies t1
-INNER JOIN sem_2.genres t2
- ON t1.id = t2.movie_id
-GROUP BY 1
-ORDER BY 3 DESC, 2 DESC;
-
---16. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ актёра выведите кол-во фильмов, в которых он Ñыграл (может быть 0).
--- ОтÑортировать по убыванию кол-ва фильмов
-
-SELECT DISTINCT first_nm || ' ' || last_nm as actor, COUNT(DISTINCT movie_id)
-FROM sem_2.actors t1
-LEFT JOIN sem_2.cast t2
- ON t2.actor_id = t1.id
-GROUP BY 1
-ORDER BY 2 DESC;
-
---17. Ðайдите вÑе фильмы, в которых играл Jake Gyllenhaal. Выведите название фильма,
--- год выпуÑка и длительноÑÑ‚ÑŒ. ОтÑортируйте по увеличению длительноÑти фильма
-
-SELECT title, release_year, duration_min
-FROM sem_2.actors t1
-INNER JOIN sem_2.cast t2
- ON t1.id = t2.actor_id
- AND t1.first_nm = 'Jake'
- AND t1.last_nm = 'Gyllenhaal'
-INNER JOIN sem_2.movies t3
- ON t2.movie_id = t3.id
-ORDER BY 3;
-
---18. Выведите вÑе фильмы Ñ Ð°ÐºÑ‚Ñ‘Ñ€Ð¾Ð¼, который играл 'Captain Jack Sparrow'
-SELECT DISTINCT t3.title
-FROM sem_2.cast t1
-INNER JOIN sem_2.cast t2
- ON t2.actor_id = t1.actor_id and t1.character_nm = 'Captain Jack Sparrow'
-INNER JOIN sem_2.movies t3
- ON t3.id = t2.movie_id;
-
---19. Ð”Ð»Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ фильма выведите его жанры через запÑтую в виде Ñтроки
--- (например, Ñ Ð¿Ð¾Ð¼Ð¾Ñ‰ÑŒÑŽ STRING_AGG)
--- ЕÑли Ð´Ð»Ñ Ñ„Ð¸Ð»ÑŒÐ¼Ð° не указан жанр, вывеÑти -.
-
-SELECT title,
- CASE WHEN STRING_AGG(genre_nm, ', ') IS NOT NULL THEN STRING_AGG(genre_nm, ', ')
- ELSE '-' END AS genre
-FROM sem_2.movies t1
-LEFT JOIN sem_2.genres t2
- ON t1.id = t2.movie_id
-GROUP BY 1;
-
---20. Ðайдите вÑех актёров, которых играли вмеÑте Ñ Leonardo DiCaprio.
--- Опционально: вывеÑти фильмы, в которых они играли вмеÑте.
-
-SELECT DISTINCT t4.first_nm || ' ' || t4.last_nm as actor
-FROM sem_2.actors t1
-INNER JOIN sem_2.cast t2
- ON t1.id = t2.actor_id
- AND t1.first_nm = 'Leonardo'
- AND t1.last_nm = 'DiCaprio'
-INNER JOIN sem_2.cast t3
- USING (movie_id)
-INNER JOIN sem_2.actors t4
- ON t3.actor_id = t4.id;
-
-SELECT DISTINCT t4.first_nm || ' ' || t4.last_nm as actor, title
-FROM sem_2.actors t1
-INNER JOIN sem_2.cast t2
- ON t1.id = t2.actor_id
- AND t1.first_nm = 'Leonardo'
- AND t1.last_nm = 'DiCaprio'
-INNER JOIN sem_2.cast t3
- USING (movie_id)
-INNER JOIN sem_2.actors t4
- ON t3.actor_id = t4.id
- AND t4.first_nm != 'Leonardo'
- AND t4.last_nm != 'DiCaprio'
-INNER JOIN sem_2.movies t5
- ON t3.movie_id = t5.id;
-
-
--
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