1. The 2 nd Hand Student Book Database Jon Havier High Distinction Assignment, Autumn 2007

2. 2 Introduction to the 2 nd hand Student Book Database 2 nd Hand Student book database simulates a DMS currently in use by Student Exchange, an online website that exchanges contact details for students to sell their books. www.textbookexchange.com.au 2 nd Hand student book is a simplified version It aims to create a nexus between sellers and buyers advertised by both parties through certain criteria’s such as book title, edition and location. This is a website familiar with many university students and helps in the purchase of course textbooks which can be very expensive

3. 3 Student Exchange Website www.textbookexchange.com.au

4. 4 The ERD for 2 nd Hand student books Database 2 nd Hand student Books – 4 tables Sale table is a weak entity as its primary key is borrowed from Student and textbook table

5. Entities and Relationships

6. 6 1:Many relationship 1:Many relationship (1:m) occurs when one record in a table is related to multiple records in another table. An example would be one student can sell many textbooks while one textbook can only belong to one student. Therefore the seller table has a 1:m relationship with the Textbook table.

7. 7 1:Many relationship One Student can buy many textbooks (ISBN) Studentemailother columns 10000000@stu dent.uts.edu.au … … etc …… StudentemailISBNAddate 10000000@student.ut 10000000@student.ut s.edu.au 97894708 11481 01/01/2007 10000000@student.ut s.edu.au 92637384 92713 01/01/2007 Foreign key

8. 8 M:M relationship M:M relationship occurs when one record in a table is related to multiple records in another table and vice- versa. An example would be one student email with many ISBN no’s and one ISBN with many student e- mail's. Therefore a student table has a many to many (indirect) relationship with the Sale table

9. 9 One Studentemail can have many ISBN and one ISBN can have many Studentemail M:M relationship StudentemailISBNAddateetc 10000000@stude nt.uts.edu.au 978947081148 1 01/01/20 07 … 20000000@stude nt.uts.edu.au 978947081148 1 01/01/20 07 … 10000000@stude nt.uts.edu.au 926373849271 3 01/01/20 07 … 20000000@stude nt.uts.edu.au 926373849271 3 01/01/20 07 …

10. SQL Queries SQL query 1: Simple Query of a single table SQL query 2: Natural Join SQL query 3: Cross product SQL query 4: Group By SQL query 5: Sub-query SQL query 6: Cross product (Self join)

11. 11 SQL query 1 – Simple SELECT A Select statement allows the database user to select and view a number of columns in a table or many tables with certain specific criteria. The output of the query depends on the selected columns, the tables required and the criteria applied to them. SELECT ______ FROM____________ WHERE_______ HAVING __________ GROUP BY____________ Etc.________ ;

12. 12 SQL query 1 - Simple Show ISBN & Selleremail of all textbooks registered SELECT ISBN, Selleremail FROM Jontext2007textbook; ISBN | Selleremail --------------+-------------------------------------------- 9789470811481 | 10000001@student.uts.edu.au Etc (15 rows)

13. 13 SQL query 2 – Natural Join A natural join combines two or more tables via a common column. The primary key of one table matches the foreign key of another table

14. 14 SQL query 2 – Natural Join Display ISBN, selleremail, sellerphone & sellername of all sellers currently selling the textbook with ISBN: 9789470811481 Select ISBN, selleremail, sellerphone, sellername from Jontext2007textbook natural join Jontext2007seller where ISBN = 9789470811481 ; ISBN | Selleremail |Sellerphone | Sellername --------------+-----------------------------+-------------+--------- 97894708114| 10000001@student.uts.edu.au | 0400000001 | Alberto (1 row)

15. 15 SQL query 3 – Cross Product Version Essential a natural join but database users define the join specifically. Used for more complex joins Using dot format, a database user will specifically detail the columns which will be joined

16. 16 SQL query 3 – Cross Product Version Display ISBN, selleremail, sellerphone & sellername of all sellers currently selling the textbook with ISBN: 9789470811481 in Cross-product form Select ISBN, selleremail, sellerphone, sellername from Jontext2007textbook T1, Jontext2007seller T2 Where T1.Selleremail = T2.Selleremail AND ISBN = 9789470811481 ; ISBN | Selleremail |Sellerphone | Sellername -------------------+----------------------------+-------------+------- 9789470811481 | 10000001@student.uts.edu.au| 0400000001 | Alberto (1 row)

17. 17 SQL query 4 – Group By A group by in a table is a function that allows certain data in a table to be collapsed into one row based on a column with the same variable Having: Similar to WHERE Uses aggregate functions in a query, having acts like a ‘where’ in determining the condition used

18. 18 SQL query 4 – Group By Show the student name which have more than one book for sale and how many books they have for offer Select studentname, count (*) as Number_of_books from Jontext2007student natural join Jontext2007Forsale group by StudentName having count (*) > 1; Studentname | Number_of_books --------------+------------------------ Alberto | 3 Bob | 3 Cameron | 4 David | 3 (4 rows)

19. 19 SQL query 5 - Sub-query Essentially a query within a query Used to find often a single result Often used for complex queries

20. 20 List ISBN, price of all textbooks where price is the highest SELECT ISBN, Price FROM Jontext2007textbook WHERE price >= ALL (Select price FROM Jontext2007textbook); ISBN | Price --------------+-------------------------- 9789470811481 | 100 (1 rows) SQL query 5 - Sub-query

21. 21 SQL query 6 – Self-join A self join is another version of cross join where a table is joined to its self kin order to find different rows in the table with matching elements Often for more complex queries

22. 22 Show the books (ISBN) which are available from the same seller SELECT T1.Selleremail, T1.texttitle, T1.Author, T2.ISBN, T2.price FROM Jontext2007textbook T1, Jontext2007textbook T2 WHERE T1.selleremail = T2.Selleremail AND t1.ISBN < T2.ISBN; Selleremail | Texttitle | Author | ISBN | Price --------------+----------------------------------- 100000001@stud| Aust. Accounting | Picker, L & Radford | 9789470811481 | $100 (1 rows) SQL query 6 – Self-join

23. 23 CHECK Constraints Example Check statements prevent database user from entering data which could corrupt and create inconsistency with the database or data making it not logical for its field They include entering names into date fields which should be a numerical field Avoids the possibility of Murphy’s Law ‘Things will go wrong in any given situation, if you give them a chance’ – wiki CHECK statements don’t give them that chance

24. 24 CREATE TABLE Jontext2007textbook ( ISBNINTEGER NOT NULL, Selleremail VARCHAR (50) NOT NULL, TexttitleVARCHAR(100) NOT NULL, Author VARCHAR(300) NOT NULL, EditionVARCHAR(50) NOT NULL, UniversityVARCHAR(50) NOT NULL, SubjectVARCHAR(50) NULL, PriceINTEGERNOT NULL, CONSTRAINT PKtextbook PRIMARY KEY (ISBN), CONSTRAINT Price CHECK (Price > 0), CONSTRAINT University CHECK (University = 'UTS' OR University = 'UNSW' OR University = 'MACQ' OR University = 'UWS'), CONSTRAINT FKtextbook FOREIGN KEY (Selleremail) REFERENCES Jontext2007Seller ON DELETE CASCADE ); CHECK Constraints Example

25. 25 SQL Syntax for Actions Action statements are measures used to prevent the corruption of data when there is a change or a deletion of one of the records in one table. These actions correct the relating data in the other associated tables by using a ‘cascade’ effect Again avoids the possibility of Murphy’s Law ‘Things will go wrong in any given situation, if you give them a chance’ – wiki Action statements don’t give them that chance

26. 26 SQL Syntax for Actions CREATE TABLE Jontext2007textbook ( ISBNINTEGER NOT NULL, Selleremail VARCHAR (50) NOT NULL, TexttitleVARCHAR(100) NOT NULL, Author VARCHAR(300) NOT NULL, EditionVARCHAR(50) NOT NULL, UniversityVARCHAR(50) NOT NULL, SubjectVARCHAR(50) NULL, PriceINTEGERNOT NULL, CONSTRAINT PKtextbook PRIMARY KEY (ISBN), CONSTRAINT Price CHECK (Price > 0), CONSTRAINT University CHECK (University = 'UTS' OR University = 'UNSW' OR University = 'MACQ' OR University = 'UWS'), CONSTRAINT FKtextbook FOREIGN KEY (Selleremail) REFERENCES Jontext2007Seller ON DELETE CASCADE );

27. 27 Creating a View Views allow database users to view a result of a statement that is used frequently without having to re-write that statement every time that view is required. This creates ease of usability, one of the benefits of a DMS system

28. 28 An Example of Creating a View CREATE VIEW Expensivebook (Texttitle, Price, Sellername) AS SELECT Title, Expensiveprice, Expensiveseller FROM Jontext2007textbook, Jontext2007seller WHERE textbook.Selleremail = Seller.Sellername;

29. 29 An Example of Querying a View Query exactly as if a table SELECT * FROM Expensivebook ; TitleExpensivepriceExpensive seller Aust. Accounting Standards 100Alberto

30. 30 The End Any Questions?