SQL Lesson 1: SELECT queries 101
Find the title of each film
SELECT Title FROM movies
Find the director of each film
SELECT Director FROM movies
Find the title and director of each film
SELECT Title, Director FROM movies
Find the title and year of each film
SELECT Title, year FROM movies
Find all the information about each film
SELECT * FROM movies
SQL Lesson 2: Queries with constraints (Pt. 1)
Find the movie with a row id of 6
SELECT * FROM movies WHERE id = 6;
Find the movies released in the years between 2000 and 2010
SELECT * FROM movies WHERE year >= 2000 AND year<=2010;
Find the movies not released in the years between 2000 and 2010
SELECT * FROM movies WHERE NOT( year >= 2000 AND year<=2010);
Find the first 5 Pixar movies and their release year
SELECT * FROM Movies ORDER BY YEAR ASC LIMIT 0, 6;
SQL Lesson 3: Queries with constraints (Pt. 2)
Find all the Toy Story moviesSELECT Title FROM movies WHERE Title like "Toy Story%"
Find all the movies directed by John Lasseter
SELECT title, director FROM movies
WHERE director = "John Lasseter";
Find all the movies (and director) not directed by John Lasseter
SELECT title, director FROM movies
WHERE NOT director = "John Lasseter";
Find all the WALL-* movies
SELECT * FROM movies
WHERE title LIKE "WALL%";
SQL Lesson 4: Filtering and sorting Query results
List all directors of Pixar movies (alphabetically), without duplicates
SELECT DISTINCT Director FROM movies ORDER BY Director ASC ;
List the last four Pixar movies released (ordered from most recent to least)
SELECT * FROM movies WHERE year ORDER BY year DESC LIMIT 4;
List the first five Pixar movies sorted alphabetically
SELECT * FROM movies ORDER BY Title asc LIMIT 5
List the next five Pixar movies sorted alphabetically
SELECT * FROM movies ORDER BY Title asc LIMIT 5 OFFSET 5
SQL Review: Simple SELECT Queries
List all the Canadian cities and their populationsSELECT city, country,population FROM north_american_cities WHERE Country="Canada";
Order all the cities in the United States by their latitude from north to south
SELECT * FROM north_american_cities WHERE Country="United States" ORDER BY Latitude DESC;
List all the cities west of Chicago, ordered from west to east
SELECT * FROM north_american_cities WHERE Longitude<-87.629798 ORDER BY Longitude ASC;
List the two largest cities in Mexico (by population)
SELECT * FROM north_american_cities WHERE COUNTRY="Mexico" ORDER BY Population DESC LIMIT 2 ;
List the third and fourth largest cities (by population) in the United States and their population
SELECT * FROM north_american_cities WHERE Country ="United States" ORDER BY population DESC LIMIT 2 OFFSET 2 ;
SQL Lesson 6: Multi-table queries with JOINs
Find the domestic and international sales for each movie
SELECT Domestic_sales, International_sales,Title
FROM Boxoffice
JOIN Movies
ON id = Movie_id
Show the sales numbers for each movie that did better internationally rather than domestically
SELECT Domestic_sales, International_sales,Title
FROM Boxoffice
JOIN Movies
ON id = Movie_id
WHERE International_sales>Domestic_sales
List all the movies by their ratings in descending order
SELECT Domestic_sales, International_sales,Title
FROM Boxoffice
JOIN Movies
ON id = Movie_id
ORDER BY Rating DESC
SQL Lesson 7: OUTER JOINs
Find the list of all buildings that have employees
SELECT DISTINCT Building FROM Employees;
Find the list of all buildings and their capacity
SELECT * FROM Buildings;
List all buildings and the distinct employee roles in each building (including empty buildings)
SELECT DISTINCT building_name, role
FROM Buildings
LEFT JOIN Employees
ON Building_name = Building;
SQL Lesson 8: A short note on NULLs
Find the name and role of all employees who have not been assigned to a building
SELECT *
FROM Employees
WHERE Building IS NULL
Find the names of the buildings that hold no employees
SELECT DISTINCT Building_name
FROM Buildings
LEFT JOIN Employees
ON Building_name = Building
WHERE Role IS NULL;
SQL Lesson 9: Queries with expressions
List all movies and their combined sales in millions of dollars
List all movies and their ratings in percent
List all movies that were released on even number years
SQL Lesson 10: Queries with aggregates (Pt. 1)
Find the longest time that an employee has been at the studio
SELECT MAX(Years_employed) as Longest_Time FROM employees;
For each role, find the average number of years employed by employees in that role
SELECT AVG(Years_employed) as Average_years_employed,Role FROM employees
GROUP BY Role;
Find the total number of employee years worked in each building
SELECT Building, SUM(Years_employed) as Total_years_employed
FROM employees
GROUP BY Building;
SQL Lesson 11: Queries with aggregates (Pt. 2)
Find the number of Artists in the studio (without a HAVING clause)SELECT Role, COUNT(*) as Artists
FROM Employees
WHERE role = "Artist";
Find the number of Employees of each role in the studio
SELECT Role, COUNT(*)
FROM Employees
GROUP BY Role;
Find the total number of years employed by all Engineers
SELECT Role, SUM(years_employed)
FROM Employees
GROUP BY Role
HAVING Role = "Engineer";
SQL Lesson 12: Order of execution of a Query
Find the number of movies each director has directed
SELECT Director, COUNT(id) as Quantity_directed_movies
FROM Movies
GROUP BY Director;
Find the total domestic and international sales that can be attributed to each director
SELECT Director, SUM(Domestic_sales + International_sales) as Domestic_and_International_Sales
FROM Movies
INNER JOIN boxoffice
ON Movies.id = Boxoffice.movie_id
GROUP BY director;
SQL Lesson 13: Inserting rows
Add the studio's new production, Toy Story 4 to the list of movies (you can use any director)
INSERT INTO movies VALUES (15, "Toy Story 4", "John Lasseter", 2015, 90);
Toy Story 4 has been released to critical acclaim! It had a rating of 8.7, and made 340 million domestically and 270 million internationally. Add the record to the BoxOffice table.
INSERT INTO BoxOffice
(movie_id, rating, Domestic_sales, International_sales)
VALUES (15, 8.7, 340 000000,270 000000);
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