Lecture 04 Intro to SQL
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 pdigits, with d digits to the right of decimal point. (ex., numeric(3,1), allows 44.5 to be stores exactly, but not 444.5 or 0.32)
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.
Create Table Construct
create table r (A1 D1, A2 D2, ..., An Dn, (integrity-constraint1),
..., (integrity-constraintk))
r is the name of the relation
each Ai is an attribute name in the schema of relation r
Di is the data type of values in the domain of attribute Ai
Example:
create table instructor (
ID char(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2))
Integrity Constraints in Create Table
not null
primary key (A1, ..., An )
foreign key (Am, ..., An ) references r
Example:
create table student (
ID varchar(5),
name varchar(20) not null,
dept_name varchar(20),
tot_cred numeric(3,0),
primary key (ID),
foreign key (dept_name) references department);
Updates to tables
Insert
insert into instructor values (‘10211’, ’Smith’, ’Biology’, 66000);
Delete
Remove all tuples from the student relation
delete from student
Drop Table
drop table r
Alter
alter table r drop A D
where A is the name of an attribute of relation r and D is the domain of A.
All exiting tuples in the relation are assigned null as the value for the new attribute.
alter table r add A D
where A is the name of the attribute to be added to relation
Dropping of attributes not supported by many databases.
Basic Query Structure
A typical SQL query has the form:
select A1, A2, ..., An
from r1, r2, ..., rm
where P
Ai represents an attribute
Ri represents a relation
P is a predicate.
The result of an SQL query is a relation.
corresponds to the projection operation of the relational algebra
NOTE: SQL names are case insensitive (i.e., you may use upper- or lower-case letters.)
SQL allows duplicates in relations as well as in query results.
To force the elimination of duplicates, insert the keyword distinct
after select.
select distinct dept_name from instructor
The keyword all specifies that duplicates should not be removed.
select all dept_name from instructor
An asterisk in the select clause denotes “all attributes”
select *
from instructor
An attribute can be a literal with no from clause
select ‘437’
Results is a table with one column and a single row with value “437” Can give the column a name using:
select ‘437’ as FOO
An attribute can be a literal with from clause:
select ‘A’
from instructor
Result is a table with one column and N rows (number of tuples in theinstructors table), each row with value “A”
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.
Can rename “salary/12” using the as clause:
select ID, name, salary/12 as monthly_salary
The where Clause:
The where clause specifies conditions that the result must satisfy
Corresponds to the selection predicate of the relational algebra.
select name
from instructor
where dept_name = ‘Comp. Sci.'
Comparison results can be combined using the logical connectives and, or, and not
The from Clause:
The from clause lists the relations involved in the query
Find the Cartesian product instructor X teaches
select *
from instructor, teaches
The Rename Operation:
The SQL allows renaming relations and attributes using the as clause:old-name as new-name
select distinct T.name
from instructor as T, instructor as S
where T.salary > S.salary and S.dept_name = ‘Comp. Sci.’
String Operations:
SQL includes a string-matching operator for comparisons on character strings.
The operator like uses patterns that are described using two special characters:
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%”
like ‘100 \%' escape '\'
in that above we use backslash (\) as the escape character.
Ordering the Display of Tuples:
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.
order by name desc
If order by is followed by serveral attributes, it means that we have a comparing sequence.
It can also be followed by the arithmetic expressions of attributes.
Where Clause Predicates:
SQL includes a between comparison operator
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
Tuple comparison
select name, course_id
from instructor, teaches
where (instructor.ID, dept_name) = (teaches.ID, ’Biology’);
Set Operations:
Set operations union, intersect, and except
·Each of the above operations automatically eliminates duplicates
To retain all duplicates use the corresponding multiset versions union all, intersect all and except all.
Suppose a tuple occurs m times in r and n times in s, then, it occurs:
m +n times in r union all s
min(m,n) times in r intersect all s
max(0, m – n) times in r except all s

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