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ICOM 5016 – Introduction to ICOM 5016 – Introduction to Database Systems Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico, Mayagüez

ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

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Page 1: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

ICOM 5016 – Introduction to ICOM 5016 – Introduction to Database SystemsDatabase Systems

Lecture 6

Dr. Manuel Rodriguez

Department of Electrical and Computer Engineering

University of Puerto Rico, Mayagüez

Page 2: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.2Database System Concepts

Chapter 3: Relational ModelChapter 3: Relational Model

Structure of Relational Databases

Relational Algebra

Tuple Relational Calculus

Domain Relational Calculus

Extended Relational-Algebra-Operations

Modification of the Database

Views

Page 3: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.3Database System Concepts

Projection OperationProjection Operation

Given a relation R, the projection operation is used to create a new relation S, such that each tuple ts is formed by taking a tuple tR and removing one or more columns.

Formally, the projection of R over columns A1, A2, …,An is defined as:

1 2, ,...,

1 2 1 2

1 2 1 2

( )

{ ( , ,..., ) | , ( , ,..., ),

{ , ,..., } { , ,..., }}

nA A A

s n R R k

n k

S R

t A A A t R t B B B

and A A A B B B

Page 4: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.4Database System Concepts

Project Operation – ExampleProject Operation – Example

Relation r: A B C

10

20

30

40

1

1

1

2

A C

1

1

1

2

=

A C

1

1

2

A,C (r)

Page 5: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.5Database System Concepts

Project OperationProject Operation

Notation:

A1, A2, …, Ak (r)

where A1, A2 are attribute names and r is a relation name.

The result is defined as the relation of k columns obtained by erasing the columns that are not listed

Duplicate rows removed from result, since relations are sets

E.g. To eliminate the branch-name attribute of account account-number, balance (account)

Page 6: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.6Database System Concepts

Union Operation – ExampleUnion Operation – Example

Relations r, s:

r s:

A B

1

2

1

A B

2

3

rs

A B

1

2

1

3

Page 7: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.7Database System Concepts

Union OperationUnion Operation

Notation: r s

Defined as:

r s = {t | t r or t s}

For r s to be valid.

1. r, s must have the same arity (same number of attributes)

2. The attribute domains must be compatible (e.g., 2nd column of r deals with the same type of values as does the 2nd column of s)

E.g. to find all customers with either an account or a loan customer-name (depositor) customer-name (borrower)

Page 8: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.8Database System Concepts

Set Difference Operation – ExampleSet Difference Operation – Example

Relations r, s:

r – s:

A B

1

2

1

A B

2

3

rs

A B

1

1

Page 9: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.9Database System Concepts

Set Difference OperationSet Difference Operation

Notation r – s

Defined as:

r – s = {t | t r and t s}

Set differences must be taken between compatible relations. r and s must have the same arity

attribute domains of r and s must be compatible

Page 10: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.10Database System Concepts

Cartesian-Product Operation-ExampleCartesian-Product Operation-Example

Relations r, s:

r x s:

A B

1

2

A B

11112222

C D

1010201010102010

E

aabbaabb

C D

10102010

E

aabbr

s

Page 11: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.11Database System Concepts

Cartesian-Product OperationCartesian-Product Operation

Notation r x s

Defined as:

r x s = {t q | t r and q s}

Assume that attributes of r(R) and s(S) are disjoint. (That is, R S = ).

If attributes of r(R) and s(S) are not disjoint, then renaming must be used.

A tuple is r x s is made by concatenating the columns from the first tuple, with the those of the second tuple.

Page 12: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.12Database System Concepts

Composition of OperationsComposition of Operations

Can build expressions using multiple operations

Example: A=C(r x s)

r x s

A=C(r x s)

A B

11112222

C D

1010201010102010

E

aabbaabb

A B C D E

122

102020

aab

Page 13: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.13Database System Concepts

Rename OperationRename Operation

Allows us to name, and therefore to refer to, the results of relational-algebra expressions.

Allows us to refer to a relation by more than one name.

Example:

x (E)

returns the expression E under the name X

If a relational-algebra expression E has arity n, then

x (A1, A2, …, An) (E)

returns the result of expression E under the name X, and with the

attributes renamed to A1, A2, …., An.

Page 14: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.14Database System Concepts

Banking ExampleBanking Example

branch (branch-name, branch-city, assets)

customer (customer-name, customer-street, customer-only)

account (account-number, branch-name, balance)

loan (loan-number, branch-name, amount)

depositor (customer-name, account-number)

borrower (customer-name, loan-number)

Page 15: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.15Database System Concepts

Example QueriesExample Queries

Find all loans of over $1200

Find the loan number for each loan of an amount greater than

$1200

amount > 1200 (loan)

loan-number (amount > 1200 (loan))

Page 16: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.16Database System Concepts

Example QueriesExample Queries

Find the names of all customers who have a loan, an account, or both, from the bank

Find the names of all customers who have a loan and an

account at bank.

customer-name (borrower) customer-name (depositor)

customer-name (borrower) customer-name (depositor)

Page 17: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.17Database System Concepts

Example QueriesExample Queries

Find the names of all customers who have a loan at the Perryridge branch.

Find the names of all customers who have a loan at the Perryridge branch but do not have an account at any branch of the bank.

customer-name (branch-name = “Perryridge”

(borrower.loan-number = loan.loan-number(borrower x loan))) –

customer-name(depositor)

customer-name (branch-name=“Perryridge”

(borrower.loan-number = loan.loan-number(borrower x loan)))

Page 18: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.18Database System Concepts

Example QueriesExample Queries

Find the names of all customers who have a loan at the Perryridge branch. Two possible solutions follow:

Query 2

customer-name(loan.loan-number = borrower.loan-number(

(branch-name = “Perryridge”(loan)) x borrower))

Query 1

customer-name(branch-name = “Perryridge” ( borrower.loan-number = loan.loan-number(borrower x loan)))

Page 19: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.19Database System Concepts

Example QueriesExample Queries

Find the largest account balance

Rename account relation as d

The query is:

balance(account) - account.balance

(account.balance < d.balance (account x d (account)))

Page 20: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.20Database System Concepts

Formal DefinitionFormal Definition

A basic expression in the relational algebra consists of either one of the following: A relation in the database A constant relation

Let E1 and E2 be relational-algebra expressions; the following are all relational-algebra expressions:

E1 E2

E1 - E2

E1 x E2

p (E1), P is a predicate on attributes in E1

s(E1), S is a list consisting of some of the attributes in E1

x (E1), x is the new name for the result of E1

Page 21: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.21Database System Concepts

Additional OperationsAdditional Operations

We define additional operations that do not add any power to the

relational algebra, but that simplify common queries.

Set intersection

Natural join

Division

Assignment

Page 22: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.22Database System Concepts

Set-Intersection OperationSet-Intersection Operation

Notation: r s

Defined as:

r s ={ t | t r and t s }

Assume: r, s have the same arity

attributes of r and s are compatible

Note: r s = r - (r - s)

Page 23: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.23Database System Concepts

Set-Intersection Operation - ExampleSet-Intersection Operation - Example

Relation r, s:

r s

A B

121

A B

23

r s

A B

2

Page 24: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.24Database System Concepts

Notation: r s

Natural-Join OperationNatural-Join Operation

Let r and s be relations on schemas R and S respectively. Then, r s is a relation on schema R S obtained as follows:

Consider each pair of tuples tr from r and ts from s.

If tr and ts have the same value on each of the attributes in R S, add a

tuple t to the result, where

t has the same value as tr on r

t has the same value as ts on s

Example:

R = (A, B, C, D)

S = (E, B, D)

Result schema = (A, B, C, D, E), and R S = (B,D)

r s is defined as:

r.A, r.B, r.C, r.D, s.E (r.B = s.B r.D = s.D (r x s))

Page 25: ICOM 5016 – Introduction to Database Systems Lecture 6 Dr. Manuel Rodriguez Department of Electrical and Computer Engineering University of Puerto Rico,

©Silberschatz, Korth and Sudarshan3.25Database System Concepts

Natural Join Operation – ExampleNatural Join Operation – Example

Relations r, s:

A B

12412

C D

aabab

B

13123

D

aaabb

E

r

A B

11112

C D

aaaab

E

s

r s