SQL Exercises/The computer store

Relational Schema

Please note the datatypes given are SQLite datatypes.

PK and FK stand for primary key and foreign key respectively.

Exercises

1. Select the names of all the products in the store.

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SELECT Name FROM Products;

2. Select the names and the prices of all the products in the store.

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SELECT Name, Price FROM Products;

3. Select the name of the products with a price less than or equal to $200.

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SELECT Name FROM Products WHERE Price <= 200;

4. Select all the products with a price between $60 and $120.

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 /* With AND */
 SELECT * FROM Products
   WHERE Price >= 60 AND Price <= 120;
 
 /* With BETWEEN */
 SELECT * FROM Products
   WHERE Price BETWEEN 60 AND 120;

5. Select the name and price in cents (i.e., the price must be multiplied by 100).

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 /* Without AS */
 SELECT Name, Price * 100 FROM Products;
 
 /* With AS */
 SELECT Name, Price * 100 AS PriceCents FROM Products;

6. Compute the average price of all the products.

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 SELECT AVG(Price) FROM Products;

7. Compute the average price of all products with manufacturer code equal to 2.

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 SELECT AVG(Price) FROM Products WHERE Manufacturer=2;

8. Compute the number of products with a price larger than or equal to $180.

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 SELECT COUNT(*) FROM Products WHERE Price >= 180;

9. Select the name and price of all products with a price larger than or equal to $180, and sort first by price (in descending order), and then by name (in ascending order).

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   SELECT Name, Price 
     FROM Products
    WHERE Price >= 180
 ORDER BY Price DESC, Name;

10. Select all the data from the products, including all the data for each product's manufacturer.

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 /* Without LEFT JOIN */
 SELECT * FROM Products, Manufacturers
   WHERE Products.Manufacturer = Manufacturers.Code;

 /* With LEFT JOIN */
 SELECT *
   FROM Products LEFT JOIN Manufacturers
   ON Products.Manufacturer = Manufacturers.Code;

11. Select the product name, price, and manufacturer name of all the products.

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 /* Without INNER JOIN */
 SELECT Products.Name, Price, Manufacturers.Name
   FROM Products, Manufacturers
   WHERE Products.Manufacturer = Manufacturers.Code;

 /* With INNER JOIN */
 SELECT Products.Name, Price, Manufacturers.Name
   FROM Products INNER JOIN Manufacturers
   ON Products.Manufacturer = Manufacturers.Code;

12. Select the average price of each manufacturer's products, showing only the manufacturer's code.

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  SELECT AVG(Price), Manufacturer
    FROM Products
GROUP BY Manufacturer;

13. Select the average price of each manufacturer's products, showing the manufacturer's name.

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 /* Without INNER JOIN */
 SELECT AVG(Price), Manufacturers.Name
   FROM Products, Manufacturers
   WHERE Products.Manufacturer = Manufacturers.Code
   GROUP BY Manufacturers.Name;
 
 /* With INNER JOIN */
 SELECT AVG(Price), Manufacturers.Name
   FROM Products INNER JOIN Manufacturers
   ON Products.Manufacturer = Manufacturers.Code
   GROUP BY Manufacturers.Name;

14. Select the names of manufacturer whose products have an average price larger than or equal to $150.

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 /* Without INNER JOIN */
 SELECT AVG(Price), Manufacturers.Name
   FROM Products, Manufacturers
   WHERE Products.Manufacturer = Manufacturers.Code
   GROUP BY Manufacturers.Name
   HAVING AVG(Price) >= 150;
 
 /* With INNER JOIN */
 SELECT AVG(Price), Manufacturers.Name
   FROM Products INNER JOIN Manufacturers
   ON Products.Manufacturer = Manufacturers.Code
   GROUP BY Manufacturers.Name
   HAVING AVG(Price) >= 150;

15. Select the name and price of the cheapest product.

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 SELECT name,price
  FROM Products
  ORDER BY price ASC
  LIMIT 1

/* With a nested SELECT */
/* WARNING: If there is more than one item with the cheapest price it will select them both */
 SELECT Name, Price
   FROM Products
   WHERE Price = (SELECT MIN(Price) FROM Products);

16. Select the name of each manufacturer along with the name and price of its most expensive product.

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 /* With a nested SELECT and without INNER JOIN */
   SELECT A.Name, A.Price, F.Name
   FROM Products A, Manufacturers F
   WHERE A.Manufacturer = F.Code
     AND A.Price =
     (
       SELECT MAX(A.Price)
         FROM Products A
         WHERE A.Manufacturer = F.Code
     );
 
 /* With a nested SELECT and an INNER JOIN */
   SELECT A.Name, A.Price, F.Name
   FROM Products A INNER JOIN Manufacturers F
   ON A.Manufacturer = F.Code
     AND A.Price =
     (
       SELECT MAX(A.Price)
         FROM Products A
         WHERE A.Manufacturer = F.Code
     );

17. Select the name of each manufacturer which have an average price above $145 and contain at least 2 different products.

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Select m.Name, Avg(p.price) as p_price, COUNT(p.Manufacturer) as m_count
FROM Manufacturers m, Products p
WHERE p.Manufacturer = m.code
GROUP BY m.Name , p.Manufacturer
HAVING Avg(p.price) >= 150 and COUNT(p.Manufacturer) >= 2;

18. Add a new product: Loudspeakers, $70, manufacturer 2.

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 INSERT INTO Products( Code, Name , Price , Manufacturer)
  VALUES ( 11, 'Loudspeakers' , 70 , 2 );

19. Update the name of product 8 to "Laser Printer".

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 UPDATE Products
   SET Name = 'Laser Printer'
   WHERE Code = 8;

20. Apply a 10% discount to all products.

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 UPDATE Products
   SET Price = Price - (Price * 0.1);

21. Apply a 10% discount to all products with a price larger than or equal to $120.

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 UPDATE Products
   SET Price = Price - (Price * 0.1)
   WHERE Price >= 120;

Table creation code

CREATE TABLE Manufacturers (
	Code INTEGER PRIMARY KEY NOT NULL,
	Name CHAR(50) NOT NULL 
);

CREATE TABLE Products (
	Code INTEGER PRIMARY KEY NOT NULL,
	Name CHAR(50) NOT NULL ,
	Price REAL NOT NULL ,
	Manufacturer INTEGER NOT NULL 
		CONSTRAINT fk_Manufacturers_Code REFERENCES Manufacturers(Code)
);

Please note the syntax presented here is for the SQLite system. It has been tested by the authors on sqlite3 specifically.

The code is also tested against SQL Server 2017.

Also note that the NOT NULL constraint on the primary key fields is semantically redundant, but a syntactic necessity in SQLite.

Click to see MySQL syntax.

CREATE TABLE Manufacturers (
  Code INTEGER,
  Name VARCHAR(255) NOT NULL,
  PRIMARY KEY (Code)   
);

CREATE TABLE Products (
  Code INTEGER,
  Name VARCHAR(255) NOT NULL ,
  Price DECIMAL NOT NULL ,
  Manufacturer INTEGER NOT NULL,
  PRIMARY KEY (Code), 
  FOREIGN KEY (Manufacturer) REFERENCES Manufacturers(Code)
) ENGINE=INNODB;

Sample dataset

INSERT INTO Manufacturers(Code,Name) VALUES (1,'Sony'),(2,'Creative Labs'),(3,'Hewlett-Packard'),(4,'Iomega'),(5,'Fujitsu'),(6,'Winchester');

INSERT INTO Products(Code,Name,Price,Manufacturer) VALUES(1,'Hard drive',240,5),(2,'Memory',120,6),(3,'ZIP drive',150,4),(4,'Floppy disk',5,6),(5,'Monitor',240,1),
(6,'DVD drive',180,2),(7,'CD drive',90,2),(8,'Printer',270,3),(9,'Toner cartridge',66,3),(10,'DVD burner',180,2);