The document introduces common data types in SQL such as char, varchar, int, numeric, and date. It describes how to create databases and tables using SQL statements like CREATE DATABASE, CREATE TABLE, INSERT INTO, and ALTER TABLE. It also covers SQL queries using SELECT, FROM, WHERE, ORDER BY, LIKE and other clauses to retrieve and filter data from one or more tables.

1. Introduction to SQL
(Standard Query Language)

2. Domain Types in SQL
 char(n). Fixed length character string, with user-specified length n.
 varchar(n). Variable length character strings, with user-specified
maximum length n.
 int. Integer (a finite subset of the integers that is machine-dependent).
 smallint. Small integer (a machine-dependent subset of the integer
domain type).
 numeric(p,d). Fixed point number, with user-specified precision of
p digits, with n digits to the right of decimal point.
 real, double precision. Floating point and double-precision floating
point numbers, with machine-dependent precision.
 float(n). Floating point number, with user-specified precision of at
least n digits.
 More are covered in Chapter 4.

3. Create Database Construct
 CREATE DATABASE dbname;
 Example:
CREATE DATABASE my_db;
Create Table Construct
 CREATE TABLE table_name
(
column_name1 data_type(size),
column_name2 data_type(size),
....
);
 Example:
create table instructor (
ID char(5),
name varchar(20) not null,
dept_name varchar(20),
salary numeric(8,2))

4. Integrity Constraints in Create Table
 not null
 primary key (A1, ..., An )
 foreign key (Am, ..., An ) references r
Example: Declare ID as the primary key for instructor
.
CREATE TABLE Persons
(
ID int NOT NULL,
LastName varchar(255) NOT NULL,
FirstName varchar(255),
PRIMARY KEY (ID)
);
primary key declaration on an attribute automatically ensures not null

5. Integrity Constraints in Create Table
 CREATE TABLE Orders
(
O_Id int NOT NULL,
OrderDetails varchar(255) NOT NULL,
P_Id int,
PRIMARY KEY (O_Id),
FOREIGN KEY (P_Id) REFERENCES Persons(ID)
);

6. Insert into table
 INSERT INTO table_name
VALUES (value1,value2,value3,...);
 Example:
 insert into instructor values (‘10211’, ’Smith’, ’Biology’,
66000);
 insert into instructor values (‘10211’, null, ’Biology’, 66000);

7. Basic Query Structure
 A typical SQL query has the form:
select A1, A2, ..., An
from r1, r2, ..., rm
where P
 Ai represents an attribute (desired column names)
 Ri represents a relation (table names)
 P is a predicate (Condition)

8. The select Clause
 Example: find the names of all instructors:
select name
from instructor
 NOTE: SQL names are case insensitive (i.e., you may use upper- or
lower-case letters.)
 E.g. Name ≡ NAME ≡ name
 Some people use upper case wherever we use bold font.

9. The select Clause (Cont.)
distinct
 Find the names of all departments with instructor, and remove
duplicates
select distinct dept_name
from instructor
all
 The keyword all specifies that duplicates not be removed.
select all dept_name
from instructor

10. The select Clause (Cont.)
 An asterisk in the select clause denotes “all attributes”
select *
from instructor
 The select clause can contain arithmetic expressions involving
the operation, +, –, , and /, and operating on constants or
attributes of tuples.
 The query:
select ID, name, salary/12
from instructor
would return a relation that is the same as the instructor relation,
except that the value of the attribute salary is divided by 12.

11. The where Clause
 To find all instructors in Comp. Sci. dept with salary > 80000
select name
from instructor
where dept_name = ‘Comp. Sci.' and salary > 80000
 Comparison results can be combined using the logical
connectives and, or, and not.
 Comparisons can be applied to results of arithmetic expressions
(<=, <, >, >=, !=).

12. Where Clause Predicates
between
 Example: Find the names of all instructors with salary between
$90,000 and $100,000 (that is,  $90,000 and  $100,000)
 select name
from instructor
where salary between 90000 and 100000
 select name, course_id
from instructor, teaches
where (instructor.ID, dept_name) = (teaches.ID, ’Biology’);

13. The from Clause
 The from clause lists the relations involved in the query
select 
from instructor, teaches
 generates every possible instructor – teaches pair, with all
attributes from both relations

14. Drop and Alter Table Constructs
 drop table customers
 Deletes the table and its contents
>>DROP TABLE table_name
>>DROP DATABASE database_name
 delete from customers
 Deletes all contents of table, but retains table
 DELETE FROM Customers
WHERE CustomerName='Alfreds Futterkiste' AND
ContactName='Maria Anders';

15. Drop and Alter Table Constructs
 alter table
 alter table- add
 ALTER TABLE table_name
ADD column_name datatype
 ALTER TABLE Customers
ADD Customer_Joindate Date
 alter table- drop
 ALTER TABLE table_name
DROP COLUMN column_name
 ALTER TABLE Customers
DROP Customer_Joindate Date

16. The Rename (As) Operation
 The SQL allows renaming relations and attributes using the as clause:
old-name as new-name
 E.g.
 select ID, name, salary/12 as monthly_salary
from instructor
 Find the names of all instructors who have a higher salary than
some instructor in ‘Comp. Sci’.
 select distinct T. name
from instructor as T, instructor as S
where T.salary > S.salary and S.dept_name = ‘Comp. Sci.’

17. Like- String Operations
 percent (%). The % character matches any substring.
 underscore (_). The _ character matches any character.
 Find the names of all instructors whose name includes the substring
“dar”.
select name
from instructor
where name like '%dar%'
 Match the string “100 %”
select name
from instructor
where attendance like ‘100 %' escape ''

18. Order by - Ordering the Display of
Tuples
 List in alphabetic order the names of all instructors
select distinct name
from instructor
order by name
 We may specify desc for descending order or asc for
ascending order, for each attribute; ascending order is the
default.
 Example: order by name desc
 Can sort on multiple attributes
 Example: order by dept_name, name