Enhanced Entity-Relationship Modeling

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Enhanced Entity-Relationship Modeling

Entity, Relationship, Attribute Ebay: Bid: Is this an entity or relationship? Item and images Is image an entity or multi-valued attribute? Blog: Blog and postings Is posting a multi-valued attribute or an entity? Posting involves in another relationship – comment The existence of posting depends on the existence of blog.

Strong and Weak Entity Types Strong entity: Each object is uniquely identifiable using primary key of that entity type. Weak entity: Each object cannot be uniquely identified using only the attributes associated with that entity type. Entities that cannot exist in the database unless another entity also exists.

Weak Entity Examples Course: CID, Cname, Credits Section: Section#, Room MedicalBldg: BuilidngID, Bname, Address Office: Room#, SquareFootage How about employee and employee dependent? What if dependent does not have an ID? Note: Weak entity sometimes modeled as a multi-valued attribute of the strong entity.

Course 1 M Section Has Course Section Section# Room# Has CID {PK} Cname credits Section# Room#

Supertypes and Subtypes Supertype: A generic entity type that has a relationship with one or more subtypes An entity type that includes one or more distinct subgroups which require to be represented in a data model. Subtype: A subgrouping of the entities in an entity type that has attributes distinct from those in other subgroupings Attribute Inheritance: Subtype entities inherit values of all attributes of the supertype An instance of a subtype is also an instance of the supertype

Figure 4-2 Employee supertype with three subtypes All employee subtypes will have emp nbr, name, address, and date-hired Each employee subtype will also have its own attributes

Employee:EID, Ename, Salary, Position EID, Ename, Salary, Position, TypingSpeed, ManagerBonus, SalesArea, CarAllowance Employee:EID, Ename, Salary, Position Manager: managerBonus SalesPerson: SalesArea, CarAllowance Secretary: TypingSpeed

Faculty Professor Lecturer GraduateAssistant

Relationships and Subtypes Relationships at the supertype level indicate that all subtypes will participate in the relationship The instances of a subtype may participate in a relationship unique to that subtype. In this situation, the relationship is shown at the subtype level

Figure 4-3 Supertype/subtype relationships in a hospital Both outpatients and resident patients are cared for by a responsible physician Only resident patients are assigned to a bed

Generalization and Specialization Generalization: The process of defining a more general entity type from a set of more specialized entity types. BOTTOM-UP Specialization: The process of defining one or more subtypes of the supertype and forming supertype/subtype relationships. TOP-DOWN

Figure 4-4 Example of generalization a) Three entity types: CAR, TRUCK, and MOTORCYCLE All these types of vehicles have common attributes

Figure 4-4 Example of generalization (cont.) b) Generalization to VEHICLE supertype So we put the shared attributes in a supertype Note: no subtype for motorcycle, since it has no unique attributes

Figure 4-5 Example of specialization a) Entity type PART Only applies to manufactured parts Applies only to purchased parts

Figure 4-5 Example of specialization (cont.) b) Specialization to MANUFACTURED PART and PURCHASED PART Note: multivalued attribute was replaced by an associative entity relationship to another entity Created 2 subtypes

Assignment 1, Part 1 Restaurant Company owned – Appointed manager Franchised: Owners Contract

Constraints in Supertype/ Completeness Constraint Completeness Constraints: Whether an instance of a supertype must also be a member of at least one subtype Total Specialization Rule: Yes (double line) Partial Specialization Rule: No (single line)

Figure 4-6 Examples of completeness constraints a) Total specialization rule A patient must be either an outpatient or a resident patient

Figure 4-6 Examples of completeness constraints (cont.) b) Partial specialization rule A vehicle could be a car, a truck, or neither

Constraints in Supertype/ Disjointness constraint Disjointness Constraints: Whether an instance of a supertype may simultaneously be a member of two (or more) subtypes Disjoint Rule: An instance of the supertype can be only ONE of the subtypes Overlap Rule: An instance of the supertype could be more than one of the subtypes

Figure 4-7 Examples of disjointness constraints a) Disjoint rule A patient can either be outpatient or resident, but not both

Figure 4-7 Examples of disjointness constraints (cont.) b) Overlap rule A part may be both purchased and manufactured

Figure 4-10 Example of supertype/subtype hierarchy

Entity Clusters EER diagrams are difficult to read when there are too many entities and relationships Solution: Group entities and relationships into entity clusters Entity cluster: Set of one or more entity types and associated relationships grouped into a single abstract entity type

Figure 4-13a Possible entity clusters for Pine Valley Furniture in Microsoft Visio Related groups of entities could become clusters

Figure 4-13b EER diagram of PVF entity clusters More readable, isn’t it?

Business rules Statements that define or constrain some aspect of the business Classification of business rules: Structural assertion–rule expressing static structure. Includes attributes, relationships, and definitions Action assertion–rule expressing constraints/control of organizational actions

Figure 4-20 Business Rule 1: For a faculty member to be assigned to teach a section of a course, the faculty member must be qualified to teach the course for which that section is scheduled Corresponding object In this case, the action assertion is a Restriction Action assertion Anchor object

Figure 4-21 Business Rule 2: For a faculty member to be assigned to teach a section of a course, the faculty member must not be assigned to teach a total of more than three course sections In this case, the action assertion is an Upper LIMit Corresponding object Action assertion Anchor object

Introduction to Relational Model Data is logically structured within relations. Each relation is a table (file) with named columns (attributes, fields) and rows (records). Fixed format, structured data

Properties of a Relation Simple attribute No composite, no multivalued attribute Each relation must have a primary key: Simple or composite key May have other keys (candidate keys) Key cannot be null Cannot be duplicated

Integrity Constraints Domain constraints Entity integrity: Primary key cannot be null, cannot be duplicated Referential integrity Other constraints

Relational Database Design Strong entity: Create a table that includes all simple attributes Composite Weak entity: add owner primary key Multi-valued attribute: Create a table for each multi-valued attribute Key + attribute Relationship: 1:1, 1:M Relationship table: for partial participation to avoid null Foreign key M:M: relationship table N-ary relationship: relationship table Recursive relationship Attribute of relationship Superclass and subclass

Online Shopping Cart EmailAddr CartID Date CID Cname Has M Customer 1 M Qty Has M Product Price PID Pname