ER Modeling & Relational DB Design: Entities, Relationships, & Constraints, Study notes of Introduction to Database Management Systems

An in-depth exploration of entity-relationship (er) modeling and relational database design. Topics covered include translating real-world concepts into database structures, various database models, er modeling challenges, and converting er diagrams to relational models. Key concepts include entities, relationships, attributes, keys, foreign keys, participation constraints, and weak entities.

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2011/2012

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ER & Relational:
Digging Deeper
R &G - Chapters 2 & 3
Databases Model the Real World
“Data Model” a llows us to translate real world
things into structure s computers can store
Many models: Relat ional, E-R, O-O, XML ,
Network, Hierarchic al, etc.
Relational
Rows & Columns
Keys & Foreign Keys to link R elations
sid name login age gpa
53666 Jones jones@cs 18 3.4
53688 Smith smith@eecs 18 3.2
53650 Smith smith@mat h 19 3.8
sid cid grade
53666 Carnatic101 C
53666 Reggae203 B
53650 Topology112 A
53666 History105 B
Enrolled Students
Aggregation
Used to model a
relationship
involving a
relationship set
.
Allows us to treat a
relationship set
as an entity set
for purposes of
participation in
(other)
relationships.
Aggregation vs . ternary relationship?
Monitors is a distinct r elationship, with a
descriptive attribute.
Also, can say that each sponsorship is
monitored by at most one employee.
until
Employees
Monitors
lot
name
ssn
budget
did
pid
started_on
pbudget
dname
Departments
Projects Sponsors
since
Conceptual Design Using the ER Model
ER modeling
can
get tricky!
Design choices:
Should a concept be modele d as an entity or an att ribute?
Should a concept be modele d as an entity or a rela tionship?
Identi fying relationships: B inary or ternary? Ag gregation?
Note constraints of the ER Model:
A lot o f data semantics can ( and should) be capture d.
But so me constraints cannot be captured in ER diag rams.
We’ll refine things in our logical (relational) design
Entity vs. Attribute
Should
address
be an attribute of Employees or an
entity (related to Em ployees)?
Depends upon how we want to use add ress
information, and th e semantics of the d ata:
If we have several addr esses per employee,
address
must be an entity (sinc e attributes cannot be set-
valued).
If the structure (city, st reet, etc.) is impo rtant,
address
must be modeled as a n entity (since attribute values
are atomic).
If the lifetime of th e address differs from the entity,
address
must be modeled as an entity (s ince attributes
are deleted with their entity).
Entity vs. Attribute (Cont.)
Works_In2 does not
allow an employee to
work in a department
for two or more periods.
(why not?)
Similar to the problem of
wanting to record several
addresses for an
employee: we want to
record
several values of
the descriptive attributes
for each instance of this
relationship.
name
Employees
ssn lot
Works_In2
from to
dname
budget
did
Departments
dname
budget
did
name
Departments
ssn lot
Employees Works_In3
Duration
from to
pf3
pf4

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Download ER Modeling & Relational DB Design: Entities, Relationships, & Constraints and more Study notes Introduction to Database Management Systems in PDF only on Docsity!

ER & Relational:

Digging Deeper

R &G - Chapters 2 & 3

Databases Model the Real World

  • “Data Model” allows us to translate real world things into structures computers can store
  • Many models: Relational, E-R, O-O, XML, Network, Hierarchical, etc.
  • Relational
    • Rows & Columns
    • Keys & Foreign Keys to link Relations sid name login age gpa 53666 Jones jones@cs 18 3. 53688 Smith smith@eecs 18 3. 53650 Smith smith@math 19 3. sid cid grade 53666 Carnatic101 C 53666 Reggae203 B 53650 Topology112 A 53666 History105 B Enrolled Students

Aggregation

Used to model a

relationship

involving a

relationship set.

Allows us to treat a

relationship set

as an entity set

for purposes of

participation in

(other)

relationships.

Aggregation vs. ternary relationship****?  Monitors is a distinct relationship, with a descriptive attribute.  Also, can say that each sponsorship is monitored by at most one employee. until Employees Monitors ssn^ name lot pid did budget started_on pbudget dname Projects Sponsors^ Departments since

Conceptual Design Using the ER Model

  • ER modeling can get tricky!
  • Design choices:
    • Should a concept be modeled as an entity or an attribute?
    • Should a concept be modeled as an entity or a relationship?
    • Identifying relationships: Binary or ternary? Aggregation?
  • Note constraints of the ER Model:
    • A lot of data semantics can (and should) be captured.
    • But some constraints cannot be captured in ER diagrams.
      • We’ll refine things in our logical (relational) design

Entity vs. Attribute

  • Should address be an attribute of Employees or an entity (related to Employees)?
  • Depends upon how we want to use address information, and the semantics of the data: - If we have several addresses per employee, address must be an entity (since attributes cannot be set- valued). - If the structure (city, street, etc.) is important, address must be modeled as an entity (since attribute values are atomic). - If the lifetime of the address differs from the entity, address must be modeled as an entity (since attributes are deleted with their entity).

Entity vs. Attribute (Cont.)

  • Works_In2 does not allow an employee to work in a department for two or more periods. - (why not?)
  • Similar to the problem of wanting to record several addresses for an employee: we want to record several values of the descriptive attributes for each instance of this relationship. name Employees ssn lot Works_In from to dname did budget Departments dname did budget name Departments ssn (^) lot Employees Works_In from Duration to

Entity vs. Relationship

OK as long as a

manager gets a

separate

discretionary

budget ( dbudget)

for each dept.

What if manager’s

dbudget covers all

managed depts?

(can repeat value,

but such

redundancy is

problematic)

Manages name dname did budget Employees Departments ssn lot since dbudget Employees since name dname did budget Departments ssn lot Mgr_Appts is_manager dbudget apptnum managed_by

Now you try it

Try this at home - Courses database:

  • Courses, Students, Teachers
  • Courses have ids, titles, credits, …
  • Courses have multiple sections that have time/rm and exactly one teacher
  • Must track students’ course schedules and transcripts including grades, semester taken, etc.
  • Must track which classes a professor has taught
  • Database should work over multiple semesters

These things get pretty hairy!

  • Many E-R diagrams cover entire walls!
  • A modest example:

A Cadastral E-R Diagram

cadastral: showing or recording property boundaries, subdivision lines, buildings, and related details Source: US Dept. Interior Bureau of Land Management, Federal Geographic Data Committee Cadastral Subcommittee http://www.fairview-industries.com/standardmodule/cad-erd.htm

Converting ER to Relational

  • Fairly analogous structure
  • But many simple concepts in ER are subtle to specify in relations

Logical DB Design: ER to Relational

  • Entity sets to tables.

CREATE TABLE Employees

(ssn CHAR(11),

name CHAR(20),

lot INTEGER,

PRIMARY KEY (ssn))

Employees ssn name^ lot ssn name lot 123-22-3666 Attishoo 48 231-31-5368 Smiley 22 131-24-3650 Smethurst 35

Translating Weak Entity Sets

  • Weak entity set and identifying relationship set are translated into a single table. - When the owner entity is deleted, all owned weak entities must also be deleted. CREATE TABLE Dep_Policy ( pname CHAR(20), age INTEGER, cost REAL, ssn CHAR(11) NOT NULL, PRIMARY KEY (pname, ssn), FOREIGN KEY (ssn) REFERENCES Employees, ON DELETE CASCADE)

Summary of Conceptual Design

  • Conceptual design follows requirements analysis,
    • Yields a high-level description of data to be stored
  • ER model popular for conceptual design
    • Constructs are expressive, close to the way people think about their applications.
    • Note: There are many variations on ER model
      • Both graphically and conceptually
  • Basic constructs: entities, relationships, and attributes (of entities and relationships).
  • Some additional constructs: weak entities, ISA hierarchies (see text if you’re curious), and aggregation.

Summary of ER (Cont.)

  • Several kinds of integrity constraints:
    • key constraints
    • participation constraints
  • Some foreign key constraints are also implicit in

the definition of a relationship set.

  • Many other constraints (notably, functional

dependencies) cannot be expressed.

  • Constraints play an important role in determining

the best database design for an enterprise.

Summary of ER (Cont.)

  • ER design is subjective. There are often many ways to model a given scenario!
  • Analyzing alternatives can be tricky, especially for a large enterprise. Common choices include: - Entity vs. attribute, entity vs. relationship, binary or n- ary relationship, whether or not to use ISA hierarchies, aggregation.
  • Ensuring good database design: resulting relational schema should be analyzed and refined further. - Functional Dependency information and normalization techniques are especially useful.