1. D ATABASE S YSTEMS I W EEK 2 T HE E NTITY -R ELATIONSHIP M ODEL

2. 22 S YLLABUS Class Time and Location: Tue 14:30-16:20 AQ3005 Thu 14:30-15:20AQ3003 Course Website: http://www.cs.sfu.ca/CC/354/rfrank/ Instructor: Richard Frank, PhD Email: rfrank@sfu.ca Office Hours Location: TASC 9205 Time: Tuesday, 1:30pm-2:30pm TA: Ankit Gupta Email: aga53@sfu.ca Office Hours Location: ASB9838_TA_1 Time: Monday, 10am-11:30am

3. 33 A DMIN Assignment #2 changed A2Q1 moved to A3Q1

4. 44 O VERVIEW OF D ATABASE D EVELOPMENT Requirements Analysis / Ideas High-Level Database Design Conceptual Database Design / Relational Database Schema Physical Database Design / Relational DBMS  Similar to software development

5. 55 O VERVIEW OF D ATABASE D EVELOPMENT Requirements Analysis What data are to be stored in the enterprise? What are the required applications? What are the most important operations? High-level database design What are the entities and relationships in the enterprise? What information about these entities and relationships should we store in the database? What are the integrity constraints or business rules that hold?

6. 66 O VERVIEW OF D ATABASE D EVELOPMENT Conceptual database design What data model to implement for the DBS? E.g., relational data model Map the high-level design (e.g., ER diagram) to a (conceptual) database schema of the chosen data model. Physical database design What DBMS to use? What are the typical workloads of the DBS? Build indexes to support efficient query processing. What redesign of the conceptual database schema is necessary from the point of view of efficient implementation?

7. 77 E NTITY -R ELATIONSHIP M ODEL Short: ER model. A lot of similarities with other modeling languages such as UML. Concepts Entities / Entity sets, Attributes, Relationships/ Relationship sets, and Constraints. Offers more modeling concepts than the relational data model (which only offers relations). Closer to the way in which people think.

8. 88 E NTITY -R ELATIONSHIP D IAGRAMS An Entity-Relationship diagram ( ER diagram ) is a graph with nodes representing entity sets, attributes and relationship sets. Entity sets denoted by rectangles. Attributes denoted by ovals. Relationship sets denoted by diamonds. Edges ( lines ) connect entity sets to their attributes and relationship sets to their entity sets. lot dname budget did since name Works_In DepartmentsEmployees ssn

9. 99 E NTITIES AND E NTITY S ETS Entity: Real-world object distinguishable from other objects e.g. employee Miller. Entity can be physical or abstract object. An entity is associated with the attributes describing its properties. Attribute values are atomic e.g. strings, integer or real numbers. Contain a single piece of information Full name? Age? Entity set: A collection of similar entities. E.g., all employees.

10. 10 E NTITIES AND E NTITY S ETS All entities in an entity set have the same set of attributes. (At least, for the moment!) Each entity set has a key, i.e. a minimal set of attributes to uniquely identify an entity of this set. Key attributes are underlined. Each attribute has a domain, i.e. a set of all possible attribute values. Employees ssn name age

11. 11 E NTITIES AND E NTITY S ETS A key must be unique across all possible (not just the current) entities of its set. A key can consist of more than one attribute. There can be more than one key for a given entity set, but we choose one ( primary key ) for the ER diagram. Employees firstname lastname birthdate salary

12. 12 R ELATIONSHIPS AND R ELATIONSHIP S ETS Relationship : Association among two or more entities. E.g., Miller works in Pharmacy department. Relationship set : Collection of similar relationships among two or more entity sets. age dname budget did name Works_In DepartmentsEmployees ssn

13. 13 R ELATIONSHIPS AND R ELATIONSHIP S ETS An n-ary relationship set R relates n entity sets E1... En. Each relationship in R involves entities e1  E1,..., en  En. Binary relationship sets most common. Same entity set can participate in different relationship sets, or in different “roles” in same set. Reports_To age name Employees subor- dinate super- visor ssn

14. 14 R ELATIONSHIPS AND R ELATIONSHIP S ETS Entity object that is distinguishable from other objects Ex: your home address, CMPT 354 Entity Set All home addresses Collection of CMPT courses Each entity set has 1-to-many entities Each entity can belong to multiple entity sets Relationship Joe lives at 45 Main St. Mary lives at 89 Wood Ave. Relationship Set Person lives at home address

15. 15 R ELATIONSHIPS AND R ELATIONSHIP S ETS Relationship sets can also have attributes. Useful for properties that cannot reasonably be associated with one of the participating entity sets. age dname budget did since name Works_In DepartmentsEmployees ssn

16. 16 I NSTANCES OF AN ER D IAGRAM Entity set contains a set of entities. Each entity has one value for each of its attributes. No duplicate instances (not a technical limit) What to do?? ssnnameage 12345678“John Miller”30 14789632“Paul Li”25... Employees

17. 17 I NSTANCES OF AN ER D IAGRAM Relationship set contains a set of relationships, each relating a set of entities, one from each of the participating entity sets. Components are entities, not attribute values. No duplicates (not a technical limit) Employee (ssn)Department (did) 123456781 147896321 567563222... Works_In

18. 18 R ELATIONSHIPS AND R ELATIONSHIP S ETS Multiway relationship sets (n > 2) are used whenever binary relationships cannot capture the application semantics. Tasks Works_For name Employees ssn age Projects pid pbudget description tid Infrequent.

19. 19 R ELATIONSHIPS AND R ELATIONSHIP S ETS Works_For name Employees ssn age Projects pid pbudget Employee (ssn)Tasks (tid)Project (pid) 123456781000101 123456781500106 567563221500106... Works_For Tasks description tid

20. 20 K EY C ONSTRAINTS A key constraint on a relationship set specifies that the marked entity set participates in at most one relationship of this relationship set. Entity set is marked with an arrow. dname budgetdid since age name ssn ManagesEmployees Departments Key constraint

21. 21 M ULTIPLICITY OF R ELATIONSHIPS An employee can work in many departments; a dept can have many employees. Each dept has at most one manager, who may manage several ( many ) departments. dname budgetdid since age name ssn ManagesEmployees Departments age dname budget did since name Works_In DepartmentsEmployees ssn many one

22. 22 M ULTIPLICITY OF R ELATIONSHIPS The different types of (binary) relationships from a multiplicity point of view: One to one One to many Many to one Many to many many-to-many one-to-oneone-to-manymany-to-one

23. 23 P ARTICIPATION C ONSTRAINTS A participation constraint on a relationship set specifies that the marked entity set participates in at least one relationship of this relationship set. Entity set is marked with a bold line. age name dname budgetdid since name dname budgetdid since Manages since Departments Employees ssn Works_In Participation constraint

24. 24 W EAK E NTITIES A weak entity exists only in the context of another ( owner ) entity. The weak entity can be identified uniquely only by considering the primary key of the owner and its own partial key. Owner entity set and weak entity set must participate in a one-to-many relationship set (one owner, many weak entities). Weak entity set must have total participation in this supporting relationship set. Ex: If there is no employee, there cannot be a dependent. age name age name Dependents Employees ssn Policy cost

25. 25 S UBCLASSES Sometimes, an entity set contains some entities that do share many, but not all properties with the entity set  hierarchies. A ISA B: every A entity is also considered to be a B entity. A specializes B, B generalizes A. A is called subclass, B is called superclass. A subclass inherits the attributes of a superclass, may define additional attributes. Contract_Emps Employees ISA Hourly_Emps

26. 26 S UBCLASSES Contract_Emps name ssn Employees age hourly_wages ISA Hourly_Emps contractid hours_worked Hourly_Emps and Contract_Emps inherit the ssn (key!), name and age attributes from Employees. They define additional attributes hourly_wages, hours_worked and contractid, resp.

27. 27 S UBCLASSES Covering constraints : Does every Employees entity have to be either an Hourly_Emps or a Contract_Emps entity? NO. Unless Hourly_Emps AND Contract_Emps COVER Employees Overlap constraints : Can Joe be an Hourly_Emps as well as a Contract_Emps entity? YES. Hourly_Emps OVERLAPS Contract_Emps

28. 28 S UBCLASSES There are several good reasons for using ISA relationships and subclasses : Do not have to redefine all the attributes. Can add descriptive attributes specific to a subclass. To identify entitity sets that participate in a relationship set as precisely as possible. ISA relationships form a tree structure (taxonomy) with one entity set serving as root.

29. 29 D ESIGN P RINCIPLES Faithfulness Design must be faithful to the specification / reality. Relevant aspects of reality must be represented in the model. Avoiding redundancy Redundant representation blows up ER diagram and makes it harder to understand. Redundant representation wastes storage. Redundancy may lead to inconsistencies in the database.

30. 30 D ESIGN P RINCIPLES Keep it simple The simpler, the easier to understand for some (external) reader of the ER diagrams. Avoid introducing more elements than necessary. If possible, prefer attributes over entity sets and relationship sets. Formulate constraints as far as possible A lot of data semantics can (and should) be captured. But some constraints cannot be captured in ER diagrams.

31. 31 H IGH -L EVEL D ESIGN W ITH ER M ODEL Major design choices Should a concept be modeled as an entity or an attribute? a relationship? What relationships to use: binary or ternary? Should address be an attribute of Employees or an entity (connected to Employees by a relationship)? Depends upon the use we want to make of 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).

32. 32 E NTITY VS. A TTRIBUTE Works_In2 does not allow an employee to work in the same department for two or more periods (why?). We want to record several values of the descriptive attributes for each instance of this relationship.

33. 33 E NTITY VS. R ELATIONSHIP This ER diagram o.k. if a manager gets a separate discretionary budget for each dept. But what if a manager gets a discretionary budget that covers all managed depts? Redundancy of dbudget, which is stored for each dept managed by the manager. Misleading: suggests dbudget tied to managed dept. Manages2 name dname budget did Employees Departments ssn lot dbudget since

34. 34 E NTITY VS. R ELATIONSHIP What about this diagram? Employees who are not managers will have dbudget=null ? The following ER diagram is more appropriate and avoids the above problems! Each manager now has a budget.

35. 35 B INARY VS. T ERNARY R ELATIONSHIPS If each policy is owned by just one employee: Key constraint on Policies would mean policy can only cover 1 dependent! (only 1 combination of Employees and Policies can be in Covers ) Bad design! age pname Dependents Covers name Employees ssn lot Policies policyid cost ER diagram says Employee can own several policies Each policy can be owned by several employees Each dependent can be covered by several policies

36. 36 B INARY VS. T ERNARY R ELATIONSHIPS This diagram is a better design. Policy can only exist for employees. Dependents only exist if they are covered by a policy. Beneficiary age pname Dependents policyid cost Policies Purchaser name Employees ssn lot

37. 37 B INARY VS. T ERNARY R ELATIONSHIPS Previous example illustrated a case when two binary relationships were better than one ternary relationship. An example in the other direction: a ternary relation Contracts relates entity sets Parts, Departments and Suppliers, and has descriptive attribute qty. No combination of binary relationships is an adequate substitute: S “can-supply” P, D “needs” P, and D “deals-with” S does not imply that D has agreed to buy P from S. How do we record qty?