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https://github.com/mouni2619/sql_bolt


https://github.com/mouni2619/sql_bolt

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README 

        
# TASK IS ABOUT SQL BOLT



# Below I provided Notes Regarding SQL BOLT TASK



# SQL Lesson 1: SELECT queries 101



 Exercise 1 — Tasks



1)Find the title of each film ✓



 SELECT title FROM movies;



2)Find the director of each film ✓



 SELECT director FROM movies;



3)Find the title and director of each film ✓



 SELECT title,director FROM movies;



4)Find the title and year of each film ✓



 SELECT title,year FROM movies;



5)Find all the information about each film ✓



 SELECT * FROM movies;



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# SQL Lesson 2: Queries with constraints (Pt. 1)



Exercise 2 — Tasks



1)Find the movie with a row id of 6 ✓



SELECT title FROM movies

where id=6;



2)Find the movies released in the years between 2000 and 2010 ✓



SELECT * FROM movies

where year  between 2000 and 2010



3)Find the movies not released in the years between 2000 and 2010 ✓



SELECT * FROM movies

where year not between 2000 and 2010



4)Find the first 5 Pixar movies and their release year ✓



SELECT title,year FROM movies

where  id in (1,2,3,4,5)



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# SQL Lesson 3: Queries with constraints (Pt. 2)



Exercise 3 — Tasks

1)Find all the Toy Story movies ✓



SELECT title FROM movies

where title like "%Toy Story%";



2)Find all the movies directed by John Lasseter ✓



SELECT title FROM movies

where director like "%John Lasseter%";



3)Find all the movies (and director) not directed by John Lasseter ✓



SELECT title FROM movies

where director not like "%John Lasseter%";



4)Find all the WALL-* movies ✓



SELECT title FROM movies

where title  like "%WALL-%";



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# SQL Lesson 4: Filtering and sorting Query results



Exercise 4 — Tasks



1)List all directors of Pixar movies (alphabetically), without duplicates ✓



SELECT distinct director FROM movies order by director; 



2)List the last four Pixar movies released (ordered from most recent to least) ✓



SELECT title,year FROM movies order by year desc limit 4 ; 



3)List the first five Pixar movies sorted alphabetically ✓



SELECT title,year FROM movies order by title  limit 5 ; 



4)List the next five Pixar movies sorted alphabetically ✓



SELECT title,year FROM movies order by title  limit 5 offset 5 ; 



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# SQL Review: Simple SELECT Queries



Review 1 — Tasks



1)List all the Canadian cities and their populations ✓



SELECT city, population FROM north_american_cities

where country like "canada";



2)Order all the cities in the United States by their latitude from north to south ✓



SELECT * FROM north_american_cities where country like "%United States%" order by Latitude desc



3)List all the cities west of Chicago, ordered from west to east ✓



SELECT City FROM north_american_cities 

where longitude < (

 SELECT  longitude FROM 

 north_american_cities

 WHERE city like "chicago")

 order by longitude;



4)List the two largest cities in Mexico (by population) ✓



SELECT * FROM north_american_cities where country like "%mexico%" order by population desc limit 2



5)List the third and fourth largest cities (by population) in the United States and their population ✓



SELECT city, population FROM north_american_cities where country like "%United States%" order by population desc limit 2 offset 2



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# SQL Lesson 6: Multi-table queries with JOINs



Exercise 6 — Tasks



1)Find the domestic and international sales for each movie ✓



SELECT title,Domestic_sales,International_sales FROM Boxoffice 

INNER JOIN Movies   

    ON Movies .Id = Boxoffice.Movie_id

    



2)Show the sales numbers for each movie that did better internationally rather than domestically ✓



SELECT * FROM Boxoffice 

INNER JOIN Movies   

    ON Movies .Id = Boxoffice.Movie_id where International_sales > Domestic_sales

    

3)List all the movies by their ratings in descending order ✓



SELECT * FROM Boxoffice 

INNER JOIN Movies   

ON Movies .Id = Boxoffice.Movie_id order by rating desc



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# SQL Lesson 7: OUTER JOINs



Exercise 7 — Tasks

1)Find the list of all buildings that have employees ✓



SELECT distinct Building FROM employees 



2)Find the list of all buildings and their capacity ✓



SELECT  * FROM Buildings 



3)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 Buildings .Building_name=Employees .Building



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# SQL Lesson 8: A short note on NULLs



Exercise 8 — Tasks

1)Find the name and role of all employees who have not been assigned to a building ✓



SELECT Name,role FROM employees

where building is null;



2)Find the names of the buildings that hold no employees ✓



SELECT * from Buildings left join Employees on Buildings.Building_name = Employees .Building where Years_employed is null



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# SQL Lesson 9: Queries with expressions



Exercise 9 — Tasks



1)List all movies and their combined sales in millions of dollars ✓



SELECT title, (Domestic_sales+International_sales)/1000000 as sales 

FROM movies

inner join Boxoffice on movies.id = Boxoffice.Movie_id ;



2)List all movies and their ratings in percent ✓



SELECT title,rating*10 as ratings

FROM movies

inner join Boxoffice on movies.id = Boxoffice.Movie_id ;



3)List all movies that were released on even number years ✓



SELECT title, year

FROM movies

inner join Boxoffice ON movies.id=Boxoffice.Movie_id

WHERE year%2=0



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# SQL Lesson 10: Queries with aggregates (Pt. 1)



Exercise 10 — Tasks



1)Find the longest time that an employee has been at the studio ✓



  SELECT max(Years_employed) FROM employees;



2)For each role, find the average number of years employed by employees in that role ✓



  SELECT avg(Years_employed) as avg_employee, role FROM employees group by role;



3)Find the total number of employee years worked in each building ✓



  SELECT Building,sum(Years_employed) FROM employees group by building



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# SQL Lesson 11: Queries with aggregates (Pt. 2)



Exercise 11 — Tasks



1)Find the number of Artists in the studio (without a HAVING clause) ✓



SELECT count(Role) as number_of_Artists FROM employees

where role= "Artist";



2)Find the number of Employees of each role in the studio ✓



SELECT role, count(Role) as number_of_Artists FROM employees

group by role



3)Find the total number of years employed by all Engineers ✓



SELECT  role, sum(years_employed) as number_of_Artists FROM employees

group by role HAVING role="Engineer"



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# SQL Lesson 12: Order of execution of a Query



Exercise 12 — Tasks



1)Find the number of movies each director has directed ✓



SELECT director, count(*) as director_movies FROM movies

group by director;



2)Find the total domestic and international sales that can be attributed to each director ✓



SELECT director, sum(International_sales+Domestic_sales) as director_movies

FROM movies inner join Boxoffice

on Movies .id= Boxoffice.Movie_id

group by director;



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# SQL Lesson 13: Inserting rows



Exercise 13 — Tasks



1)Add the studio's new production, Toy Story 4 to the list of movies (you can use any director) ✓



INSERT INTO Movies 

VALUES (4, "Toy Story 4","John Lasseter",2,80);



2)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  

VALUES (4, "8.7",340000000,270000000)



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# SQL Lesson 14: Updating rows



Exercise 14 — Tasks



1)The director for A Bug's Life is incorrect, it was actually directed by John Lasseter ✓



UPDATE Movies

SET Director = "John Lasseter"

   where title="A Bug's Life"



2)The year that Toy Story 2 was released is incorrect, it was actually released in 1999 ✓



UPDATE Movies

SET year = 1999

   where title="Toy Story 2"



3)Both the title and director for Toy Story 8 is incorrect! The title should be "Toy Story 3" and it was directed by Lee Unkrich ✓



UPDATE Movies

SET director = "Lee Unkrich",

title="Toy Story 3"

   where title="Toy Story 8"



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# SQL Lesson 15: Deleting rows



Exercise 15 — Tasks



1)This database is getting too big, lets remove all movies that were released before 2005. ✓



  DELETE FROM Movies

  WHERE year<2005;



2)Andrew Stanton has also left the studio, so please remove all movies directed by him. ✓



 DELETE FROM Movies

 WHERE Director="Andrew Stanton";



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# SQL Lesson 16: Creating tables



Exercise 16 — Tasks



1)Create a new table named Database with the following columns:

– Name A string (text) describing the name of the database

– Version A number (floating point) of the latest version of this database

– Download_count An integer count of the number of times this database was downloaded

This table has no constraints. ✓



 CREATE TABLE Database (

 name text,

 version float,

 download_count integer

 );



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# SQL Lesson 17: Altering tables



Exercise 17 — Tasks



1)Add a column named Aspect_ratio with a FLOAT data type to store the aspect-ratio each movie was released in. ✓



 ALTER TABLE Movies

 ADD Aspect_ratio FLOAT 

    DEFAULT 16;



2)Add another column named Language with a TEXT data type to store the language that the movie was released in. Ensure that the default for this language is English. ✓



 ALTER TABLE Movies

 ADD Language  TEXT  

 DEFAULT English;



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# SQL Lesson 18: Dropping tables



Exercise 18 — Tasks



1)We've sadly reached the end of our lessons, lets clean up by removing the Movies table ✓



 DROP TABLE IF EXISTS Movies ;



2)And drop the BoxOffice table as well ✓



 DROP TABLE IF EXISTS BoxOffice  ;