Introduction of Database Design and Development,Logical Design and Conceptual Database Design,Data Retrival, Sql slides, Queries,Data Retrival, Sql slides, Queries,Er Model,Normalization etc

1. Er. Nawaraj Bhandari
Topic 7
SQL 1

2. Objectives of SQL
 Create the database and relation structures
 Perform basic tasks such as inserts, updates and deletes
 Simple and complex queries
Structured Query Language

3. Data Definition Language: DDL
 For defining database structures and controlling access to data
 CREATE TABLE, CREATE INDEX , CREATE SEQUENCE , GRANT ACCESS
etc.

4. Data Manipulation Language: DML
 For retrieving and updating data
 SELECT, INSERT, UPDATE, DELETE

5. History of SQL - 1
 Developed from IBM’s SYSTEM R
 The database standard language by 1970s...
 First standard published in 1987 by ISO

6. History of SQL - 2
 Addition to standard published 1989
 SQL 1992 – Major revision ‘SQL-92’
 SQL: 1999 - with object-relational features
 SQL: 2003 - introduced concept of ‘core SQL’
 SQL: 2006 – user of SQL with XML
 SQL: 2008 minor revisions.

7. Data Manipulation Language: DML
 For retrieving and updating data
 SELECT – retrieving
 INSERT, UPDATE, DELETE – updating
Difference between INSERT and UPDATE?

8. Literals
 Insert into Student (Stu_id, First_name, Last_name)
 Values (1,’Satpal’,’Singh’);
- Non-numeric in single quotes
- Numeric NOT in quotes

9. Select branchID, Count(staff_id)
From workers
Where branchType = ‘Main’
Group by branchID
Having Count (staff_id) > 1
Order by branchID

10. Select branchID, Count(staff_id)
From workers
Where branchType = ‘Main’
Group by branchID
Having Count (staff_id) > 1
Order by branchID
Which columns will appear?
Which table?
Condition
Groups by some column
Value
Restricts what will
Be grouped
Specifies the order of the result

11. Database Update
 Insert
 Update
 Delete

12. Insert
 Insert into students (Student_id, first_name, last_name)
 Values (1,’Satpal’,’Singh’);
 Insert into students
 Values (1,’Satpal’,’Singh’,’Overseas’,’Undergrad’);

13. Update
 Update Students
 Set Student_type = ‘Undergrad’;
 Update Students
 Set student_type = ‘Undergrad’
 Where student_id = 1;

14. Delete
 Delete from Students;
 Delete from Students
 Where student_id = 1;

15. Activity
 Departments
 Department_Id Integer
 Department_Name varchar 30
 Location varchar 30

16.  Departments
 Department_Id Integer
 Department_Name varchar 30
 Location varchar 30
• Insert into Departments
• Values (8,’Complaints’,’Glasgow’):

17. Commit;

18. Rollback;

19. Datatypes
 What is a datatype?
 What is a domain?

20. String Datatypes
 Character or Char
 Varying Character of Varchar
 Bit (N)
 Bit varying

21. Char or Varchar
 ‘Gary__’ a 6 long Char
 ‘Gary’ a 6 long varchar

22. Numeric Datatypes
 Numeric or Decimal, e.g. 8.23 with point set
 Integer, e.g. 8
 Float, e.g. 8.23 but could also be changed so that point moves when
needed

23. Datetime Types
 Date
 Time
 Timestamp
 Interval

24. Advantages of SQL
 Universal
 Easy to use
 Fits (more or less) with relational model

25. Disadvantages of SQL
 Does not support all features of relational model
 No one standard
 Has had to be extended
 Much redundancy – possible to do the same thing many ways

26. Learning Outcomes – Have We Met Them?
 By the end of this topic, students will be able to:
 Explain the purpose of SQL
 Outline the basic concepts of SQL
 Understand that there are different ‘flavours’ of SQL

27. References
 Benyon-Davis, P. (2003). Database Systems, 3rd edition. Palgrave Macmillan.
Chapters 11, 12 & 13.
 Connolly, T. & Begg, C. (2004). Database Systems: A Practical Approach to
Design, Implementation, and Management, 4th Edition. Addison Wesley.
Chapters 5, 6 & 7.
 Dietrich, S. W. (2001). Understanding Relational Database Query Languages, 1st
edition. Prentice Hall. Chapter 5.

28. ANY QUESTIONS?