1. 1 Entity-Relationship Model Chapter 2 Copyright : Jeff Ullman + Hank Korth

2. 2 Purpose of E/R Model uThe E/R model allows us to sketch the design of a database informally. uDesigns are pictures called entity- relationship diagrams. uFairly mechanical ways to convert E/R diagrams to real implementations like relational databases exist.

3. 3 Entity Sets uEntity = “thing” or object. uEntity set = collection of similar entities. wSimilar to a class in object-oriented languages. uAttribute = property of an entity set. wGenerally, all entities in a set have the same properties. wAttributes are simple values, e.g. integers or character strings.

4. 4 E/R Diagrams uIn an entity-relationship diagram, each entity set is represented by a rectangle. uEach attribute of an entity set is represented by an oval, with a line to the rectangle representing its entity set.

5. 5 Example uEntity set Beers has two attributes, name and manf (manufacturer). uEach Beer entity has values for these two attributes, e.g. (Hite, OB) Beers name manf

6. 6 Relationships uA relationship connects two or more entity sets. uIt is represented by a diamond, with lines to each of the entity sets involved.

7. 7 Example Drinkers addrname Beers manfname Bars name license addr Note: license = beer, full, none Sells Bars sell some beers. Likes Drinkers like some beers. Frequents Drinkers frequent some bars.

8. 8 Relationship Set uThe current “value” of an entity set is the set of entities that belong to it. wExample: the set of all bars in our database. uThe “value” of a relationship is a set of lists of currently related entities, one from each of the related entity sets.

9. 9 Example uFor the relationship Sells, we might have a relationship set like: BarBeer Joe’s BarBud Joe’s BarMiller Sue’s BarBud Sue’s BarPete’s Ale Sue’s BarBud Lite

10. 10 Multiway Relationships uSometimes, we need a relationship that connects more than two entity sets. (called n-ary relationship (n > 2)) uSuppose that drinkers will only drink certain beers at certain bars. wOur three binary relationships Likes, Sells, and Frequents do not allow us to make this distinction. wBut a 3-way relationship would.

11. 11 Example Bars Beers Drinkers name addr manf nameaddr license Preferences

12. 12 A Typical Relationship Set BarDrinkerBeer Joe’s BarAnnMiller Sue’s BarAnnBud Sue’s BarAnnPete’s Ale Joe’s BarBobBud Joe’s BarBobMiller Joe’s BarCalMiller Sue’s BarCalBud Lite

13. 13 Many-Many Relationships uThink of a relationship between two entity sets, such as Sells between Bars and Beers. uIn a many-many relationship, an entity of either set can be connected to many entities of the other set. wE.g., a bar sells many beers; a beer is sold by many bars.

14. 14 Many-One Relationships uSome binary relationships are many - one from one entity set to another. uEach entity of the first set is connected to at most one entity of the second set. uBut an entity of the second set can be connected to zero, one, or many entities of the first set.

15. 15 Example uFavorite, from Drinkers to Beers is many-one. uA drinker has at most one favorite beer. uBut a beer can be the favorite of any number of drinkers, including zero.

16. 16 One-One Relationships uIn a one-one relationship, each entity of either entity set is related to at most one entity of the other set. uExample: Relationship Best-seller between entity sets Manfs (manufacturer) and Beers. wA beer cannot be made by more than one manufacturer, and no manufacturer can have more than one best-seller (assume no ties).

17. 17 In Pictures: many-many many-oneone-one

18. 18 Representing “Multiplicity” uShow a many-one relationship by an arrow entering the “one” side. uShow a one-one relationship by arrows entering both entity sets. uIn some situations, we can also assert “exactly one,” i.e., each entity of one set must be related to exactly one entity of the other set. To do so, we use a rounded arrow.

19. 19 Example DrinkersBeers Likes Favorite one side many side

20. 20 Example uConsider Best-seller between Manfs and Beers. uSome beers are not the best-seller of any manufacturer, so a rounded arrow to Manfs would be inappropriate. uBut a manufacturer has to have a best- seller (we assume they are beer manufacturers).

21. 21 In the E/R Diagram ManfsBeers Best- seller

22. 22 Attributes on Relationships uSometimes it is useful to attach an attribute to a relationship. uThink of this attribute as a property of tuples in the relationship set.

23. 23 Example BarsBeers Sells price Price is a function of both the bar and the beer, not of one alone.

24. 24 Equivalent Diagrams Without Attributes on Relationships uCreate an entity set representing values of the attribute. uMake that entity set participate in the relationship.

25. 25 Example BarsBeers Sells price Prices Note convention: arrow from multiway relationship = “all other entity sets determine a unique one of these.”

26. 26 Roles uSometimes an entity set appears more than once in a relationship. uLabel the edges between the relationship and the entity set with names called roles.

27. 27 Example Drinkers Married husbandwife Relationship Set HusbandWife BobAnn JoeSue…

28. 28 Example Drinkers Buddies 12 Relationship Set Buddy1 Buddy2 Bob Ann Joe Sue Ann Bob Joe Moe …

29. 29 Subclasses uSubclass = special case = fewer entities = more properties. uExample: Ales are a kind of beer. wNot every beer is an ale, but some are. wLet us suppose that in addition to all the properties (attributes and relationships) of beers, ales also have the attribute color.

30. 30 Subclasses in E/R Diagrams uAssume subclasses form a tree. wI.e., no multiple inheritance. uIsa triangles indicate the subclass relationship. wPoint to the superclass.

31. 31 Example Beers Ales isa namemanf color

32. 32 E/R Vs. Object-Oriented Subclasses uIn the object-oriented world, objects are in one class only. wSubclasses inherit properties from superclasses. uIn contrast, E/R entities have components in all subclasses to which they belong. wMatters when we convert to relations.

33. 33 Example Beers Ales isa namemanf color Pete’s Ale

34. 34 Keys uA key is a set of attributes for one entity set such that no two entities in this set agree on all the attributes of the key. wIt is allowed for two entities to agree on some, but not all, of the key attributes. uWe must designate a key for every entity set.

35. 35 Keys in E/R Diagrams uUnderline the key attribute(s). uIn an Isa hierarchy, only the root entity set has a key, and it must serve as the key for all entities in the hierarchy.

36. 36 Example: name is Key for Beers Beers Ales isa namemanf color

37. 37 Example: a Multi-attribute Key Courses deptnumberhoursroom Note that hours and room could also serve as a key, but we must select only one key.

38. 38 Weak Entity Sets uOccasionally, entities of an entity set need “help” to identify them uniquely. uEntity set E is said to be weak if in order to identify entities of E uniquely, we need to follow one or more many-one relationships from E and include the key of the related entities from the connected entity sets. uThe discriminator (or partial key) of a weak entity set is the set of attributes that distinguishes among all the entities of a weak entity set.

39. 39 Example uname is almost a key for football players, but there might be two with the same name. unumber is certainly not a key, since players on two teams could have the same number. uBut number, together with the Team related to the player by Plays-on should be unique.

40. 40 In E/R Diagrams PlayersTeams Plays- on name number Double diamond for supporting many-one relationship. Double rectangle for the weak entity set.

41. 41 Weak Entity-Set Rules uA weak entity set has one or more many-one relationships to other (supporting) entity sets. wNot every many-one relationship from a weak entity set need be supporting. uThe key for a weak entity set is its own underlined attributes and the keys for the supporting entity sets. wE.g., player-number and team-name is a key for Players in the previous example.

42. 42 Design Techniques 1.Avoid redundancy. 2.Limit the use of weak entity sets. 3.Don’t use an entity set when an attribute will do.

43. 43 Avoiding Redundancy uRedundancy occurs when we say the same thing in two different ways. uRedundancy wastes space and (more importantly) encourages inconsistency. wThe two instances of the same fact may become inconsistent if we change one and forget to change the other, related version.

44. 44 Example: Good BeersManfs ManfBy name This design gives the address of each manufacturer exactly once. nameaddr

45. 45 Example: Bad BeersManfs ManfBy name This design states the manufacturer of a beer twice: as an attribute and as a related entity. name manf addr

46. 46 Example: Bad Beers name This design repeats the manufacturer’s address once for each beer; loses the address if there are temporarily no beers for a manufacturer. manfmanfAddr

47. 47 Entity Sets Versus Attributes uAn entity set should satisfy at least one of the following conditions: wIt is more than the name of something; it has at least one nonkey attribute. or wIt is the “many” in a many-one or many- many relationship.

48. 48 Example: Good BeersManfs ManfBy name Manfs deserves to be an entity set because of the nonkey attribute addr. Beers deserves to be an entity set because it is the “many” of the many-one relationship ManfBy. nameaddr

49. 49 Example: Good Beers name There is no need to make the manufacturer an entity set, because we record nothing about manufacturers besides their name. manf

50. 50 Example: Bad BeersManfs ManfBy name Since the manufacturer is nothing but a name, and is not at the “many” end of any relationship, it should not be an entity set. name

51. 51 Don’t Overuse Weak Entity Sets uBeginning database designers often doubt that anything could be a key by itself. wThey make all entity sets weak, supported by all other entity sets to which they are linked. uIn reality, we usually create unique ID’s for entity sets. wExamples include social-security numbers, automobile VIN’s etc.

52. 52 When Do We Need Weak Entity Sets? uThe usual reason is that there is no global authority capable of creating unique ID’s. uExample: it is unlikely that there could be an agreement to assign unique player numbers across all football teams in the world.

53. 53 Summary of Symbols used in the ER Notation

54. 54 Summary of Symbols used in the ER Notation (Cont’d)

55. 55 Alternative ER Notations