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Data Modeling (CB 12) CPSC 356 Database Ellen Walker Hiram College (Includes figures from Database Systems by Connolly & Begg, © Addison Wesley 2002)

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Presentation on theme: "Data Modeling (CB 12) CPSC 356 Database Ellen Walker Hiram College (Includes figures from Database Systems by Connolly & Begg, © Addison Wesley 2002)"— Presentation transcript:

1 Data Modeling (CB 12) CPSC 356 Database Ellen Walker Hiram College (Includes figures from Database Systems by Connolly & Begg, © Addison Wesley 2002)

2 Describing the Data DDL (Data Definition Language) –Detailed definition of database schema –Too low-level (and database-specific) for good modeling! Record-based model (relational) –Better, but DBMS dependent Object-based model (entity-relationship) –This is the level to start at!

3 Entity-Relationship (ER) Modeling Entity –Object (in the C++ sense); “thing”; noun Attribute –Property of an object ; “variable”; adjective Relationship –Association among entities; verb

4 Relationship vs. Relation A relationship (in ER modeling) describes the connection (often a verb) between two or more entities A relation (in a relational database) is a table, or a set of tuples (rows). Both entities and relationships in the ER can map to relations in the RDB Not all relationships in the ER map to relations in the RDB

5 Entity vs. Relation An Entity (in ER modeling) nearly always maps to a Relation (in the RDB) A Relation in the RDB does not always maps to an Entity in the ER Common problem: designing your ER diagram as if it were an RDB - don’t think about tables yet!

6 Type vs. Instance Entity type -- a class of entity, e.g. Student Entity instance (occurrence) -- a specific entity, e.g. “Student number 123456” Shortcut: “entity” means “entity instance” Relationships also have type vs. instance Databases have schema vs. instance

7 Attributes Specify properties of an entity or relationship –E.g. NAME is an attribute of the entity STUDENT –E.g. SINCE is an attribute of the relationship MAJORS-IN The legal values of an attribute are specified by a domain (e.g. “valid US phone numbers”) All entities / relationships of the same type have the same attributes

8 Entities and their Attributes Faculty-member –Attributes: name, id, rank, department Class –Attributes: name, number, department Department –Attributes: name, abbreviation Caution: an entity cannot be an attribute of another entity!

9 A Common Error… Attributes in the relational model are not the same as attributes in the ER model Please forget about “tables” for the moment! When you find yourself wanting to put an entity inside another entity, you need to specify a relationship instead.

10 Variations on Attributes Simple: single component –(e.g. size-in-square-feet, monthly-rent) Composite: multiple components –(e.g. name = first-name, last-name) Multi-valued : many values per entity –(e.g. bedroom-sizes has as many entries as there are bedrooms) Derived: computed –(e.g. Duration computed from Start & Finish)

11 Keys A key is an attribute or set of attributes that uniquely identifies an entity. A candidate key is a minimal set of attributes that is a key. The primary key is a candidate key selected by the user. A composite key has more than one attribute. (Keys of a relationship include both attributes and roles)

12 Relationships (1..2) Professor TEACHES (0..*) Class –Each professor teaches 0 or more classes (no limit) Each class is taught by 1 or 2 professors (to allow for team- taught). (1..*) Student TAKE (0..*) Class –Each student takes 0 or more classes (no limit). –Each class contains 1 or more students (no limit). (0..7) Class LOCATED-IN (1..1) Room –Each class is taught in exactly one room. –Each room contains 0 or more classes. We assume there are 7 distinct time periods, so the maximum is 7. Numbers in parentheses represent (min..max) entities allowed (multiplicity)

13 Degree of a Relationship Number of entities that are related = number of roles in a relationship 2 (Binary) is most common –e.g. Owner OWNS Property 3 (Ternary) –Owner LEASES Property WITH Contract 4 (Quaternary) –Pretty rare!

14 Roles and Recursion A recursive relationship includes the same entity type more than once Roles are relationship-specific names for the entities that participate When 2 different entities of the same entity type participate in a relation, they are distinguished by their roles –Employee (Supervisor) SUPERVISES Employee (Supervisee)

15 Attributes on Relationships Sometimes, an attribute describes a relationship rather than one of its entities Example: –Faculty TEACHES Course –Assume each course has many sections and each faculty member may teach multiple (but not all) sections of a course –Then the location and the time of the offering is a property of the TEACH relationship, not the course –Note: this is only one way to represent this particular relationship; creating a “section” entity to hold the location and time would be another

16 Brain Teasers Is it possible for an entity type to have no attributes? Does an entity type necessarily have to have a key? Is it possible for a relationship type not to have attributes?

17 Constraints on Entities & Relationships Multiplicity (min..max) Cardinality Participation

18 Cardinality Cases for Binary Constraints One to one (1:1) – Exactly one of each entity in the relationship (e.g. buttons to buttonholes) One to many (1:N) –One Room can hold many classes, but each class is taught in only one room Many to many (M:N) –One student can take many classes, and one class holds many students

19 Participation Constraints Mandatory participation: All entities of the appropriate type must participate in this relationship (e.g. every branch must have a manager) Optional participation: Some entities of the appropriate type participate in this relationship (e.g. some employees manage branches)

20 Multiplicity = Cardinality & Participation If min > 0, mandatory participation, otherwise optional If both sides have max=1, 1:1 cardinality If both sides have max>1, M:N cardinality Otherwise 1:N or N:1 cardinality, depending on which side has max > 1

21 Strong vs. Weak Entities A Strong Entity does not depend on anything else in the database for its existence. It contains its own primary key. A Weak Entity depends on some related entity for its existence. It has no candidate keys without including the primary key of the entity it depends on.

22 Strong vs. Weak Example Employee ( empNo, fname, lname salary,…) HAS Child (fname) Employee is strong (with empNo as primary key) Child is weak - many children may be called “Jennifer”, but only one Jennifer is the daughter of employee 24901.

23 ER Diagram Example Entities, attributes & binary relationship Cardinality constraints show how many relationships per entity ClassRoom 0..71..1 CRN {PK} number {PK} building {PK} seats Located >

24 Entity with Derived Attribute ClassPeriod daysOfWeek {PK} startTime {PK} endTime /length

25 Weak Entity (no PK) Department code {PK} name Course number name Offers > 1..10..* Course number is unique within a department, but not overall

26 Special Relationships Ternary Relationship (Quarternary similar) Recursive Relationship (Figure from Database Systems by Connolly & Begg, © Addison Wesley 2002)

27 Branch view of Dream Home

28 Problem: Fan Trap Division 1 has Pat, Chris, and Jamie Division 1 operates branches 101 and 102 Who works at branch 101?

29 Fixing the Fan Trap

30 Problem: Chasm Trap How can we represent a property that has been assigned to a branch, but has no staff member to oversee it?

31 Fixing the Chasm Trap

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