Chapter8

Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe
Chapter 8
SQL-99: SchemaDefinition,
Constraints, and Queries and Views

Data Definition, Constraints, and
Schema Changes
 Used to CREATE, DROP, and ALTER the
descriptions of the tables (relations) of a
database

CREATE TABLE
 Specifies a new base relation by giving it a name, and
specifying each of its attributes and their data types
(INTEGER, FLOAT, DECIMAL(i,j), CHAR(n),
VARCHAR(n))
 A constraint NOT NULL may be specified on an attribute
CREATE TABLE DEPARTMENT (
DNAME VARCHAR(10) NOT
NULL,
DNUMBER INTEGER NOT NULL,
MGRSSN CHAR(9),
MGRSTARTDATE CHAR(9) );

CREATE TABLE
 In SQL2, can use the CREATE TABLE command for specifying the primary
key attributes, secondary keys, and referential integrity constraints (foreign
keys).
 Key attributes can be specified via the PRIMARY KEY and UNIQUE phrases
CREATE TABLE DEPT (
DNAME VARCHAR(10) NOT NULL,
MGRSSN CHAR(9),
MGRSTARTDATE CHAR(9),
PRIMARY KEY (DNUMBER),
UNIQUE (DNAME),
FOREIGN KEY (MGRSSN) REFERENCES EMP );

DROP TABLE
 Used to remove a relation (base table) and its
definition
 The relation can no longer be used in queries,
updates, or any other commands since its
description no longer exists
 Example:
DROP TABLE DEPENDENT;

ALTER TABLE
 Used to add an attribute to one of the base
relations
 The new attribute will have NULLs in all the tuples of
the relation right after the command is executed;
hence, the NOT NULL constraint is not allowed for
such an attribute
 Example:
ALTER TABLE EMPLOYEE ADD JOB
VARCHAR(12);
 The database users must still enter a value for
the new attribute JOB for each EMPLOYEE tuple.
 This can be done using the UPDATE command.

Features Added in SQL2 and SQL-
99
 Create schema
 Referential integrity options

CREATE SCHEMA
 Specifies a new database schema by giving it a
name

REFERENTIAL INTEGRITY
OPTIONS
 We can specify RESTRICT, CASCADE, SET NULL or SET
DEFAULT on referential integrity constraints (foreign keys)
CREATE TABLE DEPT (
DNAME VARCHAR(10) NOT NULL,
MGRSSN CHAR(9),
MGRSTARTDATE CHAR(9),
PRIMARY KEY (DNUMBER),
UNIQUE (DNAME),
FOREIGN KEY (MGRSSN) REFERENCES EMP
ON DELETE SET DEFAULT ON UPDATE
CASCADE);

REFERENTIAL INTEGRITY
OPTIONS (continued)
CREATE TABLE EMP(
ENAME VARCHAR(30) NOT NULL,
ESSN CHAR(9),
BDATE DATE,
DNO INTEGER DEFAULT 1,
SUPERSSN CHAR(9),
PRIMARY KEY (ESSN),
FOREIGN KEY (DNO) REFERENCES DEPT
ON DELETE SET DEFAULT ON UPDATE
CASCADE,
FOREIGN KEY (SUPERSSN) REFERENCES EMP
ON DELETE SET NULL ON UPDATE CASCADE);

Additional Data Types in SQL2 and
SQL-99
Has DATE, TIME, and TIMESTAMP data types
 DATE:
 Made up of year-month-day in the format yyyy-mm-dd
 TIME:
 Made up of hour:minute:second in the format hh:mm:ss
 TIME(i):
 Made up of hour:minute:second plus i additional digits
specifying fractions of a second
 format is hh:mm:ss:ii...i

Additional Data Types in SQL2 and
SQL-99 (contd.)
 TIMESTAMP:
 Has both DATE and TIME components
 INTERVAL:
 Specifies a relative value rather than an absolute
value
 Can be DAY/TIME intervals or YEAR/MONTH
intervals
 Can be positive or negative when added to or
subtracted from an absolute value, the result is an
absolute value

Retrieval Queries in SQL
 SQL has one basic statement for retrieving information
from a database; the SELECT statement
 This is not the same as the SELECT operation of the
relational algebra
 Important distinction between SQL and the formal
relational model:
 SQL allows a table (relation) to have two or more tuples that
are identical in all their attribute values
 Hence, an SQL relation (table) is a multi-set (sometimes
called a bag) of tuples; it is not a set of tuples
 SQL relations can be constrained to be sets by specifying
PRIMARY KEY or UNIQUE attributes, or by using the
DISTINCT option in a query

Retrieval Queries in SQL (contd.)
 A bag or multi-set is like a set, but an element
may appear more than once.
 Example: {A, B, C, A} is a bag. {A, B, C} is also a
bag that also is a set.
 Bags also resemble lists, but the order is irrelevant
in a bag.
 Example:
 {A, B, A} = {B, A, A} as bags
 However, [A, B, A] is not equal to [B, A, A] as lists

Retrieval Queries in SQL (contd.)
 Basic form of the SQL SELECT statement is called a
mapping or a SELECT-FROM-WHERE block
SELECT <attribute list>
FROM <table list>
WHERE <condition>
 <attribute list> is a list of attribute names whose values are
to be retrieved by the query
 <table list> is a list of the relation names required to process
the query
 <condition> is a conditional (Boolean) expression that
identifies the tuples to be retrieved by the query

Relational Database Schema--Figure 5.5

Populated Database--Fig.5.6

Simple SQL Queries
 Basic SQL queries correspond to using the
following operations of the relational algebra:
 SELECT
 PROJECT
 JOIN
 All subsequent examples use the COMPANY
database

Simple SQL Queries (contd.)
 Example of a simple query on one relation
 Query 0: Retrieve the birthdate and address of the
employee whose name is 'John B. Smith'.
Q0:SELECT BDATE, ADDRESS
FROM EMPLOYEE
WHERE FNAME='John' AND MINIT='B’
AND LNAME='Smith’
 Similar to a SELECT-PROJECT pair of relational algebra
operations:

The SELECT-clause specifies the projection attributes and the
WHERE-clause specifies the selection condition
 However, the result of the query may contain duplicate
tuples

 Query 1: Retrieve the name and address of all employees
who work for the 'Research' department.
Q1:SELECT FNAME, LNAME, ADDRESS
FROM EMPLOYEE, DEPARTMENT
WHERE DNAME='Research' AND DNUMBER=DNO
 Similar to a SELECT-PROJECT-JOIN sequence of
relational algebra operations
 (DNAME='Research') is a selection condition (corresponds
to a SELECT operation in relational algebra)
 (DNUMBER=DNO) is a join condition (corresponds to a
JOIN operation in relational algebra)

 Query 2: For every project located in 'Stafford', list the project
number, the controlling department number, and the department
manager's last name, address, and birthdate.
Q2: SELECT PNUMBER, DNUM, LNAME, BDATE, ADDRESS
FROM PROJECT, DEPARTMENT, EMPLOYEE
WHERE DNUM=DNUMBER AND MGRSSN=SSN
AND PLOCATION='Stafford'
 In Q2, there are two join conditions
 The join condition DNUM=DNUMBER relates a project to its
controlling department
 The join condition MGRSSN=SSN relates the controlling
department to the employee who manages that department

Aliases, * and DISTINCT, Empty
WHERE-clause
 In SQL, we can use the same name for two (or
more) attributes as long as the attributes are in
different relations
 A query that refers to two or more attributes with
the same name must qualify the attribute name
with the relation name by prefixing the relation
name to the attribute name
 Example:
 EMPLOYEE.LNAME, DEPARTMENT.DNAME

ALIASES
 Some queries need to refer to the same relation twice
 In this case, aliases are given to the relation name
 Query 8: For each employee, retrieve the employee's name, and the
name of his or her immediate supervisor.
Q8: SELECT E.FNAME, E.LNAME, S.FNAME, S.LNAME
FROM EMPLOYEE E S
WHERE E.SUPERSSN=S.SSN
 In Q8, the alternate relation names E and S are called aliases or
tuple variables for the EMPLOYEE relation
 We can think of E and S as two different copies of EMPLOYEE; E
represents employees in role of supervisees and S represents
employees in role of supervisors

ALIASES (contd.)
 Aliasing can also be used in any SQL query for
convenience
 Can also use the AS keyword to specify aliases
Q8: SELECT E.FNAME, E.LNAME,
S.FNAME, S.LNAME
FROM EMPLOYEE AS E,
EMPLOYEE AS S

UNSPECIFIED
WHERE-clause
 A missing WHERE-clause indicates no condition; hence,
all tuples of the relations in the FROM-clause are selected
 This is equivalent to the condition WHERE TRUE
 Query 9: Retrieve the SSN values for all employees.
 Q9: SELECT SSN
FROM EMPLOYEE
 If more than one relation is specified in the FROM-clause
and there is no join condition, then the CARTESIAN
PRODUCT of tuples is selected

UNSPECIFIED
WHERE-clause (contd.)
 Example:
Q10: SELECT SSN, DNAME
 It is extremely important not to overlook specifying
any selection and join conditions in the WHERE-
clause; otherwise, incorrect and very large
relations may result

USE OF *
 To retrieve all the attribute values of the selected tuples, a
* is used, which stands for all the attributes
Examples:
Q1C: SELECT *
FROM EMPLOYEE
WHERE DNO=5
Q1D: SELECT *
WHERE DNAME='Research' AND
DNO=DNUMBER

USE OF DISTINCT
 SQL does not treat a relation as a set; duplicate tuples
can appear
 To eliminate duplicate tuples in a query result, the
keyword DISTINCT is used
 For example, the result of Q11 may have duplicate
SALARY values whereas Q11A does not have any
duplicate values
Q11: SELECT SALARY
FROM EMPLOYEE
Q11A: SELECT DISTINCT SALARY
FROM EMPLOYEE

SET OPERATIONS
 SQL has directly incorporated some set operations
 There is a union operation (UNION), and in some versions
of SQL there are set difference (MINUS) and intersection
(INTERSECT) operations
 The resulting relations of these set operations are sets of
tuples; duplicate tuples are eliminated from the result
 The set operations apply only to union compatible
relations; the two relations must have the same attributes
and the attributes must appear in the same order

SET OPERATIONS (contd.)
 Query 4: Make a list of all project numbers for projects that involve an
employee whose last name is 'Smith' as a worker or as a manager of
the department that controls the project.
Q4: (SELECT PNAME
FROM PROJECT, DEPARTMENT,
EMPLOYEE
WHERE DNUM=DNUMBER AND
MGRSSN=SSN AND LNAME='Smith')
UNION
(SELECT PNAME
FROM PROJECT, WORKS_ON, EMPLOYEE
WHERE PNUMBER=PNO AND
ESSN=SSN AND NAME='Smith')

NESTING OF QUERIES
 A complete SELECT query, called a nested query, can be
specified within the WHERE-clause of another query,
called the outer query
 Many of the previous queries can be specified in an
alternative form using nesting
 Query 1: Retrieve the name and address of all employees
who work for the 'Research' department.
FROM EMPLOYEE
WHERE DNO IN (SELECT DNUMBER
FROM DEPARTMENT
WHERE DNAME='Research' )

NESTING OF QUERIES (contd.)
 The nested query selects the number of the 'Research'
department
 The outer query select an EMPLOYEE tuple if its DNO
value is in the result of either nested query
 The comparison operator IN compares a value v with a
set (or multi-set) of values V, and evaluates to TRUE if v
is one of the elements in V
 In general, we can have several levels of nested queries
 A reference to an unqualified attribute refers to the
relation declared in the innermost nested query
 In this example, the nested query is not correlated with
the outer query

CORRELATED NESTED QUERIES
 If a condition in the WHERE-clause of a nested query references an
attribute of a relation declared in the outer query, the two queries are
said to be correlated
 The result of a correlated nested query is different for each tuple
(or combination of tuples) of the relation(s) the outer query
 Query 12: Retrieve the name of each employee who has a dependent
with the same first name as the employee.
Q12: SELECT E.FNAME, E.LNAME
FROM EMPLOYEE AS E
WHERE E.SSN IN
(SELECT ESSN
FROM DEPENDENT
WHERE ESSN=E.SSN AND
E.FNAME=DEPENDENT_NAME)

(contd.)
 In Q12, the nested query has a different result in the outer
query
 A query written with nested SELECT... FROM...
WHERE... blocks and using the = or IN comparison
operators can always be expressed as a single block
query. For example, Q12 may be written as in Q12A
Q12A: SELECT E.FNAME, E.LNAME
FROM EMPLOYEE E, DEPENDENT D
WHERE E.SSN=D.ESSN AND
E.FNAME=D.DEPENDENT_NAME

(contd.)
 The original SQL as specified for SYSTEM R also had a
CONTAINS comparison operator, which is used in
conjunction with nested correlated queries
 This operator was dropped from the language, possibly
because of the difficulty in implementing it efficiently
 Most implementations of SQL do not have this operator
 The CONTAINS operator compares two sets of values, and
returns TRUE if one set contains all values in the other set

Reminiscent of the division operation of algebra

(contd.)
 Query 3: Retrieve the name of each employee who works
on all the projects controlled by department number 5.
Q3: SELECT FNAME, LNAME
FROM EMPLOYEE
WHERE ( (SELECT PNO
FROM WORKS_ON
WHERE SSN=ESSN)
CONTAINS
(SELECT PNUMBER
FROM PROJECT
WHERE DNUM=5) )

(contd.)
 In Q3, the second nested query, which is not
correlated with the outer query, retrieves the
project numbers of all projects controlled by
department 5
 The first nested query, which is correlated,
retrieves the project numbers on which the
employee works, which is different for each
employee tuple because of the correlation

THE EXISTS FUNCTION
 EXISTS is used to check whether the result of a
correlated nested query is empty (contains no
tuples) or not
 We can formulate Query 12 in an alternative form
that uses EXISTS as Q12B

THE EXISTS FUNCTION (contd.)
 Query 12: Retrieve the name of each employee
who has a dependent with the same first name as
the employee.
Q12B: SELECT FNAME, LNAME
FROM EMPLOYEE
WHERE EXISTS (SELECT *
FROM DEPENDENT
WHERE SSN=ESSN
AND
FNAME=DEPENDENT_NAME)

THE EXISTS FUNCTION (contd.)
 Query 6: Retrieve the names of employees who have no
dependents.
FROM EMPLOYEE
WHERE NOT EXISTS (SELECT *
FROM DEPENDENT
WHERE SSN=ESSN)
 In Q6, the correlated nested query retrieves all
DEPENDENT tuples related to an EMPLOYEE tuple. If
none exist, the EMPLOYEE tuple is selected
 EXISTS is necessary for the expressive power of SQL

EXPLICIT SETS
 It is also possible to use an explicit
(enumerated) set of values in the WHERE-
clause rather than a nested query
 Query 13: Retrieve the social security numbers of
all employees who work on project number 1, 2,
or 3.
Q13: SELECT DISTINCT ESSN
FROM WORKS_ON
WHERE PNO IN (1, 2, 3)

NULLS IN SQL QUERIES
 SQL allows queries that check if a value is NULL (missing
or undefined or not applicable)
 SQL uses IS or IS NOT to compare NULLs because it
considers each NULL value distinct from other NULL
values, so equality comparison is not appropriate.
 Query 14: Retrieve the names of all employees who do
not have supervisors.
FROM EMPLOYEE
WHERE SUPERSSN IS NULL
 Note: If a join condition is specified, tuples with NULL values
for the join attributes are not included in the result

Joined Relations Feature
in SQL2
 Can specify a "joined relation" in the FROM-
clause
 Looks like any other relation but is the result of a
join
 Allows the user to specify different types of joins
(regular "theta" JOIN, NATURAL JOIN, LEFT
OUTER JOIN, RIGHT OUTER JOIN, CROSS
JOIN, etc)

in SQL2 (contd.)
 Examples:
Q8:SELECT E.FNAME, E.LNAME, S.FNAME, S.LNAME
FROM EMPLOYEE E S
 can be written as:
Q8:SELECT E.FNAME, E.LNAME, S.FNAME, S.LNAME
FROM (EMPLOYEE E LEFT OUTER JOIN
EMPLOYEES ON E.SUPERSSN=S.SSN)

in SQL2 (contd.)
 Examples:
WHERE DNAME='Research' AND DNUMBER=DNO
 could be written as:
FROM (EMPLOYEE JOIN DEPARTMENT
ON DNUMBER=DNO)
WHERE DNAME='Research’
 or as:
FROM (EMPLOYEE NATURAL JOIN
DEPARTMENT
AS DEPT(DNAME, DNO, MSSN, MSDATE)
WHERE DNAME='Research’

in SQL2 (contd.)
 Another Example: Q2 could be written as follows;
this illustrates multiple joins in the joined tables
Q2: SELECT PNUMBER, DNUM, LNAME,
BDATE, ADDRESS
FROM (PROJECT JOIN
DEPARTMENT ON
DNUM=DNUMBER) JOIN
EMPLOYEE ON
MGRSSN=SSN) )
WHERE PLOCATION='Stafford’

AGGREGATE FUNCTIONS
 Include COUNT, SUM, MAX, MIN, and AVG
 Query 15: Find the maximum salary, the
minimum salary, and the average salary among
all employees.
Q15: SELECT MAX(SALARY),
MIN(SALARY), AVG(SALARY)
FROM EMPLOYEE
 Some SQL implementations may not allow more
than one function in the SELECT-clause

AGGREGATE FUNCTIONS (contd.)
 Query 16: Find the maximum salary, the
minimum salary, and the average salary among
employees who work for the 'Research'
department.
Q16: SELECT MAX(SALARY),
MIN(SALARY), AVG(SALARY)
WHERE DNO=DNUMBER AND
DNAME='Research'

AGGREGATE FUNCTIONS (contd.)
 Queries 17 and 18: Retrieve the total number of
employees in the company (Q17), and the number of
employees in the 'Research' department (Q18).
Q17: SELECT COUNT (*)
FROM EMPLOYEE
Q18: SELECT COUNT (*)
WHERE DNO=DNUMBER AND
DNAME='Research’

GROUPING
 In many cases, we want to apply the aggregate
functions to subgroups of tuples in a relation
 Each subgroup of tuples consists of the set of
tuples that have the same value for the grouping
attribute(s)
 The function is applied to each subgroup
independently
 SQL has a GROUP BY-clause for specifying the
grouping attributes, which must also appear in the
SELECT-clause

GROUPING (contd.)
 Query 20: For each department, retrieve the department
number, the number of employees in the department, and
their average salary.
Q20: SELECT DNO, COUNT (*), AVG (SALARY)
FROM EMPLOYEE
GROUP BY DNO
 In Q20, the EMPLOYEE tuples are divided into groups-

Each group having the same value for the grouping attribute
DNO
 The COUNT and AVG functions are applied to each such
group of tuples separately
 The SELECT-clause includes only the grouping attribute
and the functions to be applied on each group of tuples
 A join condition can be used in conjunction with grouping

GROUPING (contd.)
 Query 21: For each project, retrieve the project number,
project name, and the number of employees who work on
that project.
Q21: SELECT PNUMBER, PNAME, COUNT (*)
FROM PROJECT, WORKS_ON
WHERE PNUMBER=PNO
GROUP BY PNUMBER, PNAME
 In this case, the grouping and functions are applied after
the joining of the two relations

THE HAVING-CLAUSE
 Sometimes we want to retrieve the values of
these functions for only those groups that satisfy
certain conditions
 The HAVING-clause is used for specifying a
selection condition on groups (rather than on
individual tuples)

THE HAVING-CLAUSE (contd.)
 Query 22: For each project on which more than
two employees work, retrieve the project number,
project name, and the number of employees who
work on that project.
Q22: SELECT PNUMBER, PNAME,
COUNT(*)
FROM PROJECT, WORKS_ON
WHERE PNUMBER=PNO
GROUP BY PNUMBER, PNAME
HAVING COUNT (*) > 2

SUBSTRING COMPARISON
 The LIKE comparison operator is used to
compare partial strings
 Two reserved characters are used: '%' (or '*' in
some implementations) replaces an arbitrary
number of characters, and '_' replaces a single
arbitrary character

SUBSTRING COMPARISON (contd.)
 Query 25: Retrieve all employees whose address
is in Houston, Texas. Here, the value of the
ADDRESS attribute must contain the substring
'Houston,TX‘ in it.
FROM EMPLOYEE
WHERE ADDRESS LIKE
'%Houston,TX%'

SUBSTRING COMPARISON (contd.)
 Query 26: Retrieve all employees who were born during
the 1950s.
 Here, '5' must be the 8th character of the string (according
to our format for date), so the BDATE value is '_______5_',
with each underscore as a place holder for a single arbitrary
character.
FROM EMPLOYEE
WHERE BDATE LIKE '_______5_’
 The LIKE operator allows us to get around the fact that
each value is considered atomic and indivisible
 Hence, in SQL, character string attribute values are not
atomic

ARITHMETIC OPERATIONS
 The standard arithmetic operators '+', '-'. '*', and '/' (for
addition, subtraction, multiplication, and division,
respectively) can be applied to numeric values in an SQL
query result
 Query 27: Show the effect of giving all employees who
work on the 'ProductX' project a 10% raise.
Q27: SELECT FNAME, LNAME, 1.1*SALARY
FROM EMPLOYEE, WORKS_ON,
PROJECT
WHERE SSN=ESSN AND PNO=PNUMBER
AND PNAME='ProductX’

ORDER BY
 The ORDER BY clause is used to sort the tuples in a
query result based on the values of some attribute(s)
 Query 28: Retrieve a list of employees and the projects
each works in, ordered by the employee's department,
and within each department ordered alphabetically by
employee last name.
Q28: SELECT DNAME, LNAME, FNAME, PNAME
FROM DEPARTMENT, EMPLOYEE,
WORKS_ON, PROJECT
WHERE DNUMBER=DNO AND SSN=ESSN
AND PNO=PNUMBER
ORDER BY DNAME, LNAME

ORDER BY (contd.)
 The default order is in ascending order of values
 We can specify the keyword DESC if we want a
descending order; the keyword ASC can be used
to explicitly specify ascending order, even though
it is the default

Summary of SQL Queries
 A query in SQL can consist of up to six clauses,
but only the first two, SELECT and FROM, are
mandatory. The clauses are specified in the
following order:
FROM <table list>
[WHERE <condition>]
[GROUP BY <grouping attribute(s)>]
[HAVING <group condition>]
[ORDER BY <attribute list>]

Summary of SQL Queries (contd.)
 The SELECT-clause lists the attributes or functions to be retrieved
 The FROM-clause specifies all relations (or aliases) needed in the
query but not those needed in nested queries
 The WHERE-clause specifies the conditions for selection and join of
tuples from the relations specified in the FROM-clause
 GROUP BY specifies grouping attributes
 HAVING specifies a condition for selection of groups
 ORDER BY specifies an order for displaying the result of a query
 A query is evaluated by first applying the WHERE-clause, then
GROUP BY and HAVING, and finally the SELECT-clause

Specifying Updates in SQL
 There are three SQL commands to modify the
database: INSERT, DELETE, and UPDATE

INSERT
 In its simplest form, it is used to add one or more
tuples to a relation
 Attribute values should be listed in the same
order as the attributes were specified in the
CREATE TABLE command

INSERT (contd.)
 Example:
U1:INSERT INTO EMPLOYEE
VALUES ('Richard','K','Marini', '653298653', '30-DEC-52',
'98 Oak Forest,Katy,TX', 'M', 37000,'987654321', 4 )
 An alternate form of INSERT specifies explicitly the
attribute names that correspond to the values in the new
tuple
 Attributes with NULL values can be left out
 Example: Insert a tuple for a new EMPLOYEE for whom
we only know the FNAME, LNAME, and SSN attributes.
U1A: INSERT INTO EMPLOYEE (FNAME, LNAME,
SSN)
VALUES ('Richard', 'Marini', '653298653')

INSERT (contd.)
 Important Note: Only the constraints specified in
the DDL commands are automatically enforced
by the DBMS when updates are applied to the
database
 Another variation of INSERT allows insertion of
multiple tuples resulting from a query into a
relation

INSERT (contd.)
 Example: Suppose we want to create a temporary table that has the
name, number of employees, and total salaries for each department.
 A table DEPTS_INFO is created by U3A, and is loaded with the
summary information retrieved from the database by the query in
U3B.
U3A: CREATE TABLE DEPTS_INFO
(DEPT_NAME VARCHAR(10),
NO_OF_EMPS INTEGER,
TOTAL_SAL INTEGER);
U3B: INSERT INTO DEPTS_INFO (DEPT_NAME,
NO_OF_EMPS, TOTAL_SAL)
SELECT DNAME, COUNT (*), SUM (SALARY)
FROM DEPARTMENT, EMPLOYEE
WHERE DNUMBER=DNO
GROUP BY DNAME ;

INSERT (contd.)
 Note: The DEPTS_INFO table may not be up-to-
date if we change the tuples in either the
DEPARTMENT or the EMPLOYEE relations after
issuing U3B. We have to create a view (see later)
to keep such a table up to date.

DELETE
 Removes tuples from a relation
 Includes a WHERE-clause to select the tuples to be deleted
 Referential integrity should be enforced
 Tuples are deleted from only one table at a time (unless
CASCADE is specified on a referential integrity constraint)
 A missing WHERE-clause specifies that all tuples in the
relation are to be deleted; the table then becomes an empty
table
 The number of tuples deleted depends on the number of
tuples in the relation that satisfy the WHERE-clause

DELETE (contd.)
 Examples:
U4A: DELETE FROM EMPLOYEE
WHERE LNAME='Brown’
U4B: DELETE FROM EMPLOYEE
WHERE SSN='123456789’
U4C: DELETE FROM EMPLOYEE
WHERE DNO IN
(SELECT DNUMBER
FROM DEPARTMENT
WHERE
DNAME='Research')
U4D: DELETE FROM EMPLOYEE

UPDATE
 Used to modify attribute values of one or more
selected tuples
 A WHERE-clause selects the tuples to be
modified
 An additional SET-clause specifies the attributes
to be modified and their new values
 Each command modifies tuples in the same
relation
 Referential integrity should be enforced

UPDATE (contd.)
 Example: Change the location and controlling
department number of project number 10 to
'Bellaire' and 5, respectively.
U5: UPDATE PROJECT
SET PLOCATION = 'Bellaire',
DNUM = 5
WHERE PNUMBER=10

UPDATE (contd.)
 Example: Give all employees in the 'Research'
department a 10% raise in salary.
U6:UPDATE EMPLOYEE
SET SALARY = SALARY *1.1
WHERE DNO IN (SELECT DNUMBER
FROM DEPARTMENT
WHERE DNAME='Research')
 In this request, the modified SALARY value depends on
the original SALARY value in each tuple
 The reference to the SALARY attribute on the right of =
refers to the old SALARY value before modification
 The reference to the SALARY attribute on the left of = refers
to the new SALARY value after modification

Recap of SQL Queries
 A query in SQL can consist of up to six clauses, but only
the first two, SELECT and FROM, are mandatory. The
clauses are specified in the following order:
FROM <table list>
[WHERE <condition>]
[GROUP BY <grouping attribute(s)>]
[HAVING <group condition>]
[ORDER BY <attribute list>]
 There are three SQL commands to modify the database:
INSERT, DELETE, and UPDATE

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