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Entity-Relationship Data Model

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Title: Entity-Relationship Data Model


1
Entity-Relationship Data Model
  • CS 157A
  • Professor Sin-Min Lee
  • Student Yen-Chu Pan

2
Elements of E-R Model
  • In the E/R model, the structure of data is
    represented graphically, as an entity-relationshi
    p diagram, using three Principal element types
  • Entity Sets.
  • An entity is an abstract object of some sort, and
    a collection of similar entities forms an entity
    set.
  • Attributes
  • The properties of the entities in the set.
  • Relationship
  • The connections among two or more entity Sets

3
Example of Elements of E-R Model
  • Entity Sets
  • Departments
  • Professors
  • Students
  • Administrators
  • Attributes
  • Name of Departments, Phone No., Address...
  • Name, SSN, Address of Professors...
  • Relationship
  • Students and Professors are under a certain
    department
  • Admin manage the campus/ departments

4
Example of the 3 elements in E/R Diagram
5
Classification of Constraints
  1. Keys
  2. Single-value constraints
  3. Multi-valued constraints
  4. Mapping Cardinalities and Participation
    Constraints

6
Key in the E/R Model
  • Superkey is a set of one or more attributes that,
    taken collectively, for us to identify uniquely
    an item in the entity set. For example,
    customer-id is a superkey.
  • Candidate key is a minimal superkey. For
    example, customer-name and customer-street is
    sufficient to distinguish among members of the
    customer entity set. Then customer-name,
    customer-street is a candidate key.
  • Primary key denotes a candidate key that is
    chosen by the database designer as the principal
    means of identifying items within an entity set.
    the primary key should be chosen such that its
    attributes are never, or very rarely, changed.
    For example, Social-security numbers are
    guaranteed to never changed.

7
Single/Multi-valued attributes
  • Single-valued attributes are attributes that only
    have a single value for a particular entity.
  • Multi-valued attributes refers to items that are
    not singled-value and Null valued. For example,
    consider an employee entity set with the
    attribute phone-number. An employee may have
    zero, one, or several phone numbers different
    employee may have different numbers of phones.

8
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9
Mapping Cardinalities or Cardinality ratios
  • Express the number of items to which another item
    can be associated via a relationship set
  • Are most useful in describing binary relationship
    sets. For a binary relationship set R between
    entity sets A and B, the mapping cardinality must
    be one of the following
  • One to One
  • One to Many
  • Many to One
  • Many to Many

10
Participation Constraints
  • The participation of an entity set E in a
    relationship set R is said to be total, if every
    item in E participates in at least one
    relationship in R. If only some items in E
    participate in relationship R, the participation
    of entity set E in relationship R is said to be
    partial.

11
Weak Entity Sets
  • There is an occasional condition in which an
    entity sets key is composed of attributes some
    or all of which belong to another entity set.
    Such an entity set is called a weak entity set.

12
Discriminator
  • The discriminator of a weak entity set is a set
    of attributes that allows this distinction to be
    made. For example, the discriminator of a weak
    entity set payment is the attribute
    payment-number, since, for each loan a payment
    number uniquely identifies one single payment for
    that loan. The discriminator of a weak entity
    set is also called the partial key of the entity
    set.

13
Requirements for Weak Entity Sets
  • We cannot obtain key attributes for a weak entity
    set indiscriminately. Rather, if E is a weak
    entity set then its key consists of
  • Zero or more of its own attributes, and
  • Key attributes from entity sets that are reached
    by certain many-one relationship from E to other
    entity sets. These many-one relationship are
    called supporting relationships for E.

14
Discriminator (cont.)
  • Note although each payment entity is distinct,
    payments for different loans may share the same
    payment-number. Thus, payment entity set does
    not have a primary key it is a weak entity set.
  • The primary key of a weak entity set is formed by
    the primary key of the identifying entity set,
    plus the weak entity sets discriminator.

15
Identifying a Weak Entity Type
  • A Weak entity type doesnt have a primary key.
  • If X is a weak entity type and Y is the entity
    type on which X is dependent.
  • We form a primary key for X by combining the
    primary key of Y which one or more attributes,
    called discriminator or partial key, from X.
  • In an E/R Diagram, a partial key is usually
    dash-underlined.
  • e.g., primary key for DEPENDENT Employee No.,
    DName.

16

Doted-line double-line
17
References
  • Peter Chens website http//bit.csc.lsu.edu/chen
    /chen.html
  • Database Systems A First Course, J.D. Ullman
    J. Widom
  • http//www-db.stanford.edu/ullman/fcdb.html
  • http//www.cs.sjsu.edu/faculty/lee/cs157/25Sp157AL
    4.ppt
  • http//www.cs.sjsu.edu/faculty/lee/cs157/25Sp157AL
    5Enhanced20ER-diagram.ppt
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