Trifulcas

Mostrar la categoría con más películas

Mostrar los cinco clientes que más han gastado

Mostrar los países que tengan menos de 10 clientes

Mostrar los actores que han trabajado en más de 20 películas

Mostrar los actores que han trabajado en 5 o más  películas de acción

select name,count(film_id) total
from category join film_category using (category_id)
join film using (film_id)
group by category_id
order by total desc
limit 1

select first_name, last_name, sum(amount) total
from customer join payment using (customer_id)
group by customer_id
order by total desc limit 5

select country,count(customer_id) total
from customer join address using (address_id)
join city using (city_id)
join country using (country_id)
group by country_id
having total<10

select first_name,last_name, count(film_id) total
from actor join film_actor using (actor_id)
join film using (film_id)
group by actor_id
having total>20

select first_name,last_name, count(film_id) total
from actor join film_actor using (actor_id)
join film using (film_id)
join film_category using (film_id)
join category using (category_id)
where name='action'
group by actor_id
having total>=5

Buscar los países que tengan entre 10 y 20 ciudades que tengan una letra ‘a’

select country, count(city_id) total
from country join city using(country_id)
where city like '%a%' -- Primero filtro las ciudades con una 'a' y después las cuento
group by country_id
having total between 10 and 20 -- este filtro se aplica después de contar
order by total desc

Número de películas para cada actor

Número de clientes por tienda

Total de ventas (amount) por película

Total de ventas(amount) por categoría

SELECT first_name,last_name,count(film_id) total
FROM actor join film_actor using(actor_id)
group by actor_id

select store.store_id, count(customer_id) total
from customer join store using(store_id)
group by store_id

select title,sum(amount) total from film join inventory using (film_id)
join rental using (inventory_id)
join payment using (rental_id)
group by film_id

select category.name, sum(amount) total
from category join film_category using (category_id)
join film using (film_id)
join inventory using (film_id)
join rental using (inventory_id)
join payment using (rental_id)
group by category_id -- comentario

Películas de la categoría ‘Action’

Actores que han trabajado en películas de la categoría ‘Action’

Clientes de Argentina

Clientes que hayan alquilado películas de la categoría ‘Action’

select title from film join film_category using (film_id)
join category using (category_id)
where name='Action'

select distinct first_name,last_name
from actor join film_actor using(actor_id)
join film using(film_id)
join film_category using(film_id)
join category using(category_id)
where name='action'
order by first_name, last_name

select country,first_name,last_name from country join city
on country.country_id=city.country_id
join address on city.city_id=address.city_id
join customer on address.address_id=customer.address_id
where country='argentina'
order by first_name, last_name

select distinct first_name, last_name
from customer join rental using (customer_id)
join inventory using (inventory_id)
join film using (film_id)
join film_category using (film_id)
join category using (category_id)
where name='Action'

select first_name, last_name from country join city using (country_id)
join address using (city_id)
join customer using (address_id)
join rental using (customer_id)
join inventory using (inventory_id)
join film using (film_id)
join film_category using (film_id)
join category using (category_id)
where name='Action' and country='argentina'

Actores que tengan una x en el nombre o en el apellido

Direcciones de california que tengan ‘274’ en el número de teléfono

Películas ‘Épicas’ (Epic) o ‘Brillantes’ (brilliant) que duren más de 180 minutos

Películas que duren entre 100 y 120 minutos o entre 50 y 70 minutos

Películas que cuesten 0.99, 2.99 y tengan un rating ‘g’ o ‘r’ y que hablen de cocodrilos (cocodrile)

Direcciones de ontario o de punjab o que su código postal acabe en 5 o que su teléfono acabe en 5

SELECT * FROM sakila.actor
where first_name like '%x%' or last_name like '%x%'

SELECT * FROM sakila.address
where district='california' and phone like '%274%'


SELECT * FROM sakila.film
where (description like '%epic%' or description like '%brilliant%') 
and length>180

SELECT * FROM sakila.film
where length between 100 and 120 or length between 50 and 70

SELECT * FROM sakila.film
where description like '%crocodile%' and rental_rate in (0.99,2.99) 
and rating in ('R','G')

SELECT * FROM sakila.address
where district='ontario' or district='punjab'
or postal_code like '%5' or phone like '%5'

Si tenemos la tabla ‘productos’ del examen con los siguientes campos:

Referencia varchar

Precio decimal

Stock decimal

Insertar los siguientes registros:

Disolvente, 1 €, 2000

Emulsionante, 3 €, 1500

Colorante rojo, 4 €, 200

Tinta verde, 10 €, 100

Después cambiar el stock del colorante rojo a 300 y de la tinta verde a 50

Eliminar el disolvente

Mostrar los registros.

INSERT INTO table_name ( field1, field2,...fieldN )
   VALUES
   ( value1, value2,...valueN );

UPDATE table_name SET field1 = new-value1, field2 = new-value2
[WHERE Clause]

DELETE FROM table_name [WHERE Clause]

SELECT field1, field2,...fieldN 
FROM table_name1, table_name2...
[WHERE Clause]

[WHERE condition1 [AND [OR]] condition2.....