Goal of design is to
generate a formal specification of the database schema
Methodology:
1.
Use E-R model to get a
high-level graphical view of essential components of enterprise and how they
are related
2.
Then convert E-R diagram
to SQL DDL, or whatever database model you are using
E-R Model is not SQL
based. It's not limited to any particular DBMS. It is a conceptual and semantic
model – captures meanings rather than an actual implementation
- Entities
- Relationships among entities
Symbols used in E-R
Diagram
- Entity – rectangle
- Attribute – oval
- Relationship – diamond
- Link - line
Entities and Attributes
Entity: an object that is involved in the enterprise
and that be distinguished from other objects. (not shown in the ER diagram--is
an instance)
- Can be person, place, event, object, concept in the
real world
- Can be physical object or abstraction
- Ex: "John", "CSE305"
Entity Type: set of similar objects or a category of
entities; they are well defined
- A rectangle represents an entity set
- Ex: students, courses
- We often just say "entity" and mean
"entity type"
Attribute: describes one aspect of an entity type;
usually [and best when] single valued and indivisible (atomic)
- Represented by oval on E-R diagram
- Ex: name, maximum enrollment
- May be multi-valued – use double oval on E-R diagram
- May be composite – attribute has further structure; also use oval for
composite attribute, with ovals for components connected to it by lines
- May be derived – a virtual attribute, one that is computable from
existing data in the database, use dashed oval. This helps reduce
redundancy
Entity Types
An entity type is named and is described by set of attributes
- Student: Id, Name, Address, Hobbies
Domain: possible values of an attribute.
- Note that the value for an attribute can be a set or
list of values, sometimes called "multi-valued" attributes
- This is in contrast to the pure relational model which
requires atomic values
- E.g., (111111, John, 123 Main St, (stamps, coins))
Key: subset of attributes that uniquely
identifies an entity (candidate key)
Entity Schema:
The meta-information of entity type name, attributes (and associated domain), key constraints
Entity Types tend to correspond to nouns; attributes are also nouns albeit descriptions of the parts of entities
May have null values for some entity attribute instances – no
mapping to domain for those instances
Keys
Superkey: an attribute or set of attributes that
uniquely identifies an entity--there can be many of these
Composite key: a key requiring more than one attribute
Candidate key: a superkey such that no proper subset of its
attributes is also a superkey (minimal superkey – has no unnecessary
attributes)
Primary key: the candidate key chosen to be used for
identifying entities and accessing records. Unless otherwise noted
"key" means "primary key"
Alternate key: a candidate key not used for primary key
Secondary key: attribute or set of attributes commonly used
for accessing records, but not necessarily unique
Foreign key: term used in relational databases (but not in the E-R
model) for an attribute that is the primary key of
another table and is used to establish a relationship with that table where it
appears as an attribute also.
So a foreign key value
occurs in the table and again in the other table. This conflicts with the idea
that a value is stored only once; the
idea that a fact is stored once is not
undermined.
Graphical Representation in E-R diagram
Rectangle -- Entity
Ellipses -- Attribute (underlined attributes are [part of]
the primary key)
Double ellipses -- multi-valued attribute
Dashed ellipses-- derived attribute, e.g. age is derivable from
birthdate and current date.
[Drawing notes: keep all
attributes above the entity. Lines have no arrows. Use straight lines only]
Relationships
Relationship: connects two or more entities into an
association/relationship
- "John" majors in "Computer Science"
Relationship Type: set of similar relationships
- Student (entity type) is related to Department (entity type) by MajorsIn (relationship
type).
Relationship Types may
also have attributes in the E-R model. When they are mapped to the
relational model, the attributes become part of the relation. Represented by a
diamond on E-R diagram.
Relationship types can
have descriptive attributes like entity sets
Relationships tend to be verbs or verb phrases; attributes of
relationships are again nouns
[Drawing tips:
relationship diamonds should connect off the left and right points; Dia can
label those points with cardinality; use Manhattan connecting line
(horizontal/vertical zigzag)]
Attributes and Roles
An attribute of a relationship type adds additional
information to the relationship
- e.g., "John" majors in "CS" since 2000
- John and CS are related
- 2000 describes the relationship - it's the value of the since attribute
of MajorsIn relationship type
The role of a relationship type names one of the related
entities. The name of the entity is usually the role name.
e.g.,
"John" is value of Student role, "CS"
value of Department role of MajorsIn relationship type
(John,
CS, 2000) describes a relationship
Problem: relationships can relate elements of same
entity type
e.g., ReportsTo
relationship type relates two elements of Employee entity type:
·
Bob reports to Mary
since 2000
We do not have distinct
names for the roles. It is not clear who reports to whom.
Solution: the role name of relationship type need not be
same as name of entity type from which participants are drawn
- ReportsTo has roles Subordinate and Supervisor and
attribute Since
- Values of Subordinate and Supervisor both drawn from
entity type Employee
Optional to name role of
each entity-relationship, but helpful in cases of
- Recursive relationship – entity set relates to itself
- Multiple relationships between same entity sets
Roles are edges labeled
with role names (omitted if role name = name of entity set). Most attributes
have been omitted.
Relationship Type
Relationship types are
described by the set of roles (entities) and [optional] attributes
- e.g., MajorsIn: Student, Department, Since
Think that entities are
nouns; relationship types are often verbs
- students and departments are the entities (nouns) and
roles in relationship types
- majors is the relationship type (verb)
- i.e., "student" "majors in "
"department"
Here we have equate the
role name (Student) the name of the entity type (Student) of the participant in
the relationship.
Degree of relationship
The number of roles in
the relationship
Binary – links two entity sets; set of ordered pairs (most common)
Ternary – links three entity sets; ordered triples (rare). If a
relationship exists among the three entities, all three must be present
N-ary – links n entity sets; ordered n-tuples (very rare). If a relationship
exists among the entities, then all must be present. Cannot represesnt subsets.
Note: ternary
relationships may sometimes be replaced by two binary relationships (see book
Figures 3.5 and 3.13). Semantic equivalence between ternary relationships and
two binary ones are not necessarily true.
Cardinality of Relationships
Cardinality is the
number of entity instances to which another entity set can map under the
relationship. This does not reflect a requirement that an entity has to
participate in a relationship. Participation is another concept.
One-to-one: X-Y is 1:1 when each entity in X is associated
with at most one entity in Y, and each entity in Y is associated with at most
one entity in X.
One-to-many: X-Y is 1:M when each entity in X can be
associated with many entities in Y, but each entity in Y is associated with at
most one entity in X.
Many-to-many: X:Y is M:M if each entity in X can be
associated with many entities in Y, and each entity in Y is associated with
many entities in X ("many" =>one or more and sometimes zero)
Relationship Participation Constraints
Total participation
- Every member of entity set must participate in the relationship
- Represented by double line from entity rectangle to relationship diamond
- E.g., A Class entity cannot exist unless related to a Faculty member
entity in this example, not necessarily at Juniata.
- You can set this double line in Dia
- In a relational model we will use the references clause.
Key constraint
- If every entity participates in exactly one
relationship, both a total participation and a key constraint hold
- E.g., if a class is taught by only one faculty member.
Partial participation
- Not every entity instance must participate
- Represented by single line from entity rectangle to
relationship diamond
- E.g., A Textbook entity can exist without being related to a Class or
vice versa.
Existence Dependency and Weak Entities
Existence dependency: Entity Y is existence dependent on entity X is
each instance of Y must have a corresponding instance of X
In that case, Y must
have total participation in its relationship with X
If Y does not have its
own candidate key, Y is called a weak entity, and X is strong entity
Weak entity may have a
partial key, called a discriminator, that distinguishes instances of the weak
entity that are related to the same strong entity
Use double rectangle for
weak entity, with double diamond for relationship connecting it to its
associated strong entity
Note: not all existence
dependent entities are weak – the lack of a key is essential to definition
Schema of a Relationship Type
Contains the following
features:
Role names, Ri, and their corresponding entity
sets. Roles must be single valued (the number of roles is called its degree)
Attribute names, Aj, and their corresponding
domains. Attributes in the E-R model may be set or multi-valued.
Key: Minimum set of roles and attributes that
uniquely identify a relationship
Relationship: <e1, …en; a1,
…ak>
·
ei is an entity, a value from Ri’s entity set
·
aj is a set of attribute values with elements from domain of Aj
ER Diagram Example
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