[lab-mysql] Filipe Gardete

your-code/Day1 - queries.sql

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+
+/* my first sql query select all columns */
+SELECT  * 
+FROM sakila.film; /* first you select what you want then you say from wich database and table you want */
+
+/* my first sql query select all columns and only first 20 rows */
+SELECT  * 
+FROM sakila.film 
+LIMIT 20; /* this can be done with the statement LIMIT */
+
+/*select only some columns */
+
+SELECT 
+title , 
+description , 
+rating 
+FROM sakila.film; 
+
+/* CHALLENGE: Select from the table adress the column adress, district, and phone the top 5 rows */
+
+SELECT address, district, phone
+FROM sakila.address
+LIMIT 5;
+
+
+/*select the distinct values in a particular column */
+
+SELECT DISTINCT rental_duration /* we want to select here the distict values for rental duration */
+FROM sakila.film; 
+
+
+/*... or multiple */
+
+SELECT DISTINCT rental_duration, language_id
+FROM sakila.film; 
+
+/*Check the longest films */
+
+SELECT title, rental_rate, length
+FROM sakila.film
+ORDER BY length DESC; /* Order by sets how we want to order the data from a certain table */
+
+/*Check the longest films, tiebreak by most expensive rental */
+
+SELECT title, rental_rate, length
+FROM sakila.film
+ORDER BY length DESC, rental_rate DESC;
+
+
+/* Aliasing */
+SELECT title, rental_rate AS cost, length
+FROM sakila.film;
+
+/* Computations */
+SELECT title, rental_rate/length AS price_per_min /* what is the least expessive rental by unite of time  */
+FROM sakila.film
+ORDER BY price_per_min ASC;
+
+/*String Computations */
+
+SELECT CONCAT(title,', rating:',rating) AS descriptor
+FROM sakila.film;
+
+
+
+/* perform a query with a condition --|> are filter */
+
+SELECT * 
+FROM sakila.film
+WHERE sakila.film.rental_duration = 6; /* the where statement occures before the selection and aggregations so it's a good praticice saying from wich db and table you want to filter the columns  */
+
+/* plus some variations */ 
+
+WHERE sakila.film.rental_duration > 6;
+WHERE sakila.film.rental_duration >= 6;
+WHERE sakila.film.rental_duration <> 6;
+WHERE sakila.film.rental_duration in (3,4,5,6);
+
+WHERE sakila.film.special_features = 'Deleted Scenes';
+WHERE sakila.film.special_features LIKE '%Deleted Scenes%';
+WHERE sakila.film.special_features NOT LIKE '%Deleted Scenes%';
+
+/* Sample aggregations */
+
+SELECT COUNT(*),MAX(rental_duration),AVG(replacement_cost),AVG(rental_duration)
+FROM sakila.film; /* we can agregate if all the columns are agregated the same way */
+
+
+/* Aggregations with group by */
+SELECT rating, COUNT(rating), AVG(rental_rate) 
+FROM sakila.film
+GROUP BY rating; /* you group by what the column you are not agregating  */
+
+/* Aggregations with group by multiple */
+
+
+SELECT rating, rental_duration, COUNT(rating), AVG(rental_rate) 
+FROM sakila.film
+GROUP BY rating, rental_duration;
+
+/* SHOW REVERSE ENGENEERE ERD and talk about keys */
+
+/* bringing tables together -> join them -> one step inner join*/ 
+
+SELECT * 
+FROM world.country;
+
+SELECT * 
+FROM world.city;
+
+/*notice duplications*/
+SELECT * 
+FROM world.country
+INNER JOIN world.city
+ON world.country.Code = world.city.CountryCode;
+
+
+/*find Product per capita*/ 
+
+/* GNP per capita in each city */
+
+SELECT world.country.Name AS Country_Name,  world.city.Name AS City_Name, world.country.GNP/world.country.Population AS GNP_per_capita
+FROM world.country
+INNER JOIN world.city
+ON world.country.Code = world.city.CountryCode;
+
+
+
+/* bringing tables together -> join them -> 2 step inner join*/ 
+
+SELECT * FROM sakila.actor;
+
+SELECT * FROM sakila.film_actor;
+
+SELECT * FROM sakila.film;
+
+/* many 2 many relations are well handled by a "bridge" table */
+
+SELECT sakila.actor.first_name AS Fname, sakila.actor.last_name AS Lname, sakila.film_actor.film_id
+FROM sakila.actor
+INNER JOIN sakila.film_actor
+ON sakila.actor.actor_id = sakila.film_actor.actor_id;
+
+/*an now this new table can be used as a subtable -> ADVANCED TOPIC */
+
+SELECT new_table.Fname, new_table.Lname, sakila.film.title
+FROM 
+(SELECT sakila.actor.first_name AS Fname, sakila.actor.last_name AS Lname, sakila.film_actor.film_id
+FROM sakila.actor
+INNER JOIN sakila.film_actor
+ON sakila.actor.actor_id = sakila.film_actor.actor_id) AS new_table
+INNER JOIN sakila.film
+ON new_table.film_id = sakila.film.film_id;
+
+
+
+
+
+
+
+
+

your-code/Day2 - queries.sql

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+
+/*Find the list of actors which starred in movies with lengths higher or equal to the average length of all the movies*/
+
+/*average length of all the movies*/
+SELECT AVG(length) AS average FROM film; 
+
+/*movies with lengths higher or equal to the average length of all the movies*/
+SELECT * 
+FROM sakila.film 
+WHERE length >= (SELECT AVG(length) AS average FROM film);
+
+/*movies with lengths higher or equal to the average length of all the movies*/
+SELECT film_id 
+FROM sakila.film 
+WHERE length >= (SELECT AVG(length) AS average FROM film);
+
+
+/*list of actors which starred in movies with lengths higher or equal to the average length of all the movies*/
+SELECT DISTINCT actor_id 
+FROM sakila.film_actor
+INNER JOIN (SELECT film_id FROM sakila.film WHERE length >= (SELECT AVG(length) AS average FROM film)) AS selected_films_id
+ON sakila.film_actor.film_id = selected_films_id.film_id;
+
+
+/*list of actors which starred in movies with lengths higher or equal to the average length of all the movies*/
+SELECT first_name, last_name
+FROM sakila.actor
+INNER JOIN (
+SELECT DISTINCT actor_id 
+FROM sakila.film_actor
+INNER JOIN (SELECT film_id FROM sakila.film WHERE length >= (SELECT AVG(length) AS average FROM film)) AS selected_films_id
+ON sakila.film_actor.film_id = selected_films_id.film_id) AS selected_actors
+ON sakila.actor.actor_id = selected_actors.actor_id;
+
+
+/* Temporary tables to store intermediate result */
+
+CREATE TEMPORARY TABLE sakila.selected_films
+SELECT film_id 
+FROM sakila.film 
+WHERE length >= (SELECT AVG(length) AS average FROM film);
+
+SELECT * FROM selected_films;
+
+CREATE TEMPORARY TABLE sakila.selected_actors
+SELECT DISTINCT actor_id 
+FROM sakila.film_actor
+INNER JOIN sakila.selected_films
+ON sakila.film_actor.film_id = selected_films.film_id;
+
+SELECT first_name, last_name
+FROM sakila.actor
+INNER JOIN sakila.selected_actors
+ON sakila.actor.actor_id = selected_actors.actor_id;
+
+
+
+
+

your-code/create.sql

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+# CUSTOMERS
+# EACH CUSTOMER IS UNIQUE
+# ONE CUSTOMER CAN BE INVOICED (i) ONE MODEL/ONE CAR, (ii)  MULTIPLE CARS FROM SAME MODEL and (iii) SEVERAL MODELS WITH SINGLE OR MULTIPLE CARS
+
+# SALESPERSONS
+# EACH SALESPERSON IS UNIQUE
+# ONE SALESPERSON CAN INVOICE (i) ONE MODEL/ONE CAR, (ii)  MULTIPLE CARS FROM SAME MODEL and (iii) MULTIPLE MODELS WITH SINGLE OR MULTIPLE CARS
+
+# INVOICES
+# EACH INVOICE IS UNIQUES
+# ONE INVOICE REFERS TO ONE CUSTOMER (NOTE: CUSTOMER CAN BE DIFERENT FROM ONE INVOICE TO ANOTHER INVOICE)
+# ONE INVOICE REFERS TO ONE SALESPERSON (NOTE: SALESPERSON CAN BE DIFERENT FROM ONE INVOICE TO ANOTHER INVOICE)
+# ONE INVOICE CAN REFERS TO (i) ONE MODEL /ONE CAR OR (ii) MULTIPLE CARS FROM SAME MODEL OR (iii) MULTIPLE MODELS WITH SINGLE OR MULTIPLE CARS
+
+# EACH CAR IS UNIQUE
+# ONE CAR  IS RELATED TO A ONE SINGLE MODEL
+# EACH CAR CAN BE INVOICED ONLY ONCE TO  A SINGLE CUSTOMER BY A SINGLE SALESPERSON
+# ONE MODEL CAN BE INVOICED ONE TIME IN THE SAME INVOICE
+# DIFERENT MODELS CAN BE INVOICED ONE TIME IN THE SAME INVOICE
+# ONE MODEL CAN BE INVOICED MULTIPLE TIMES IN THE SAME INVOICE
+# DIFERENT MODELS CAN BE INVOICED MULTIPLE TIMES IN THE SAME INVOICE
+# ONE MODEL CAN BE INVOICED MULTIPLE TIMES IN DIFFERENT INVOICES
+# DIFERENT MODELS CAN BE INVOICED MULTIPLE TIMES IN DIFFERENT INVOICES
+
+CREATE DATABASE IF NOT EXISTS lab_mysql;
+
+USE lab_mysql;
+
+CREATE TABLE IF NOT EXISTS Cars (
+  carID INT NOT NULL AUTO_INCREMENT, 
+  VIN VARCHAR(52), 
+  Manufacturer VARCHAR(52), 
+  Model VARCHAR(52), 
+  Year INT, 
+  Color VARCHAR(52),
+  PRIMARY KEY (CarID)
+);
+USE lab_mysql;
+ALTER TABLE cars AUTO_INCREMENT=0, algorithm=inplace;
+
+CREATE TABLE IF NOT EXISTS Customers (
+  customerID INT NOT NULL AUTO_INCREMENT,
+  ClientID INT,
+  Name VARCHAR(52), 
+  Phone VARCHAR(52), 
+  Email VARCHAR(52) DEFAULT 'General@cars.com', 
+  Address VARCHAR(52), 
+  City VARCHAR(52), 
+  StateProvince VARCHAR(52), 
+  Country VARCHAR(52), 
+  PostalCode VARCHAR(52),
+  PRIMARY KEY (CustomerID)
+);
+USE lab_mysql;
+ALTER TABLE customers AUTO_INCREMENT=0, algorithm=inplace;
+
+CREATE TABLE IF NOT EXISTS Salespersons (
+  SalespersonID INT NOT NULL AUTO_INCREMENT, 
+  StaffID INT, 
+  Name VARCHAR(52), 
+  Store VARCHAR(52),
+  PRIMARY KEY (SalespersonID)
+  );
+  USE lab_mysql;
+  ALTER TABLE salespersons AUTO_INCREMENT=0, algorithm=inplace;
+
+CREATE TABLE IF NOT EXISTS Invoices (
+  InvoiceID INT NOT NULL AUTO_INCREMENT, 
+  InvoiceNumber INT, 
+  Date DATE, 
+  CarID INT, 
+  CustomerID INT, 
+  SalespersonID INT,
+  PRIMARY KEY (InvoiceID),
+  FOREIGN KEY (CarID) REFERENCES Cars(CarID),
+  FOREIGN KEY (SalespersonID) REFERENCES Salespersons(SalespersonID),
+  FOREIGN KEY (CustomerID) REFERENCES Customers(CustomerID)
+  );
+  USE lab_mysql;
+  ALTER TABLE invoices AUTO_INCREMENT=0, algorithm=inplace;

your-code/seeding.sql

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+USE lab_mysql;
+
+SET sql_mode = "NO_AUTO_VALUE_ON_ZERO";
+
+INSERT INTO Cars (VIN, Manufacturer, Model, Year, Color) 
+VALUES ('3K096I98581DHSNUP', 'Volkswagen', 'Tiguan', 2019, 'Blue'),
+('ZM8G7BEUQZ97IH46V', 'Peugeot', 'Rifter', 2019, 'Red'),
+('RKXVNNIHLVVZOUB4M', 'Ford', 'Fusion', 2018, 'White'),
+('HKNDGS7CU31E9Z7JW', 'Toyota',	'RAV4',	2018, 'Silver'),
+('DAM41UDN3CHU2WVF6', 'Volvo', 'V60', 2019, 'Gray'),
+('DAM41UDN3CHU2WVF6', 'Volvo', 'V60 Cross Country', 2019, 'Gray');
+
+INSERT INTO Customers (ClientID, Name, Phone, Address, City, StateProvince, Country, PostalCode)
+VALUES ('10001',	'Pablo Picasso', '+34 636 17 63 82', 'Paseo de la Chopera, 14', 'Madrid',	'Madrid',	'Spain', '28045'),
+('20001',	'Abraham Lincoln', '+1 305 907 7086', '120 SW 8th St', 'Miami', 'Florida',	'United States', '33130'),
+('30001',	'Napoléon Bonaparte', '+33 1 79 75 40 00', '40 Rue du Colisée', 'Paris', 'Île-de-France',	'France', '75008');
+
+INSERT INTO Salespersons (StaffID, Name, Store)
+VALUES ('00001',	'Petey Cruiser', 'Madrid'),
+('00002', 'Anna Sthesia',	'Barcelona'),
+('00003', 'Paul Molive',	'Berlin'),
+('00004', 'Gail Forcewind',	'Paris'),
+('00005', 'Paige Turner',	'Mimia'),
+('00006', 'Bob Frapples',	'Mexico City'),
+('00007', 'Walter Melon',	'Amsterdam'),
+('00008', 'Shonda Leer',	'São Paulo');
+
+insert into Invoices(InvoiceNumber, date, CarID, CustomerID, SalespersonID)
+VALUES (852399038, '2018-08-22', 0, 1, 3),
+(731166526, '2018-12-31', 3, 0, 5),
+(271135104, '2019-01-22', 2, 2, 7);
+
+
+select *
+from Cars;
+
+select *
+from Customers;
+
+select *
+from Salespersons;
+
+select *
+from Invoices;