lec3.pptx

Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe  CHAPTER 3 Data Modeling Using the Entity-Relationship (ER) Model Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 1- 2 Overview of Database Design Process Two main...

Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe  CHAPTER 3 Data Modeling Using the Entity-Relationship (ER) Model Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 1- 2 Overview of Database Design Process Two main activities: Database design Applications design Focus in this chapter on conceptual database design To design the conceptual schema for a database application Applications design focuses on the programs and interfaces that access the database Generally considered part of software engineering Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 3 Overview of Database Design Process Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 4 ER Model Concepts Entities and Attributes Entity is a basic concept for the ER model. Entities are specific things or objects in the mini-world that are represented in the database. For example the EMPLOYEE John Smith, the Research DEPARTMENT, the ProductX PROJECT Attributes are properties used to describe an entity. For example an EMPLOYEE entity may have the attributes Name, SSN, Address, Sex, BirthDate A specific entity will have a value for each of its attributes. For example a specific employee entity may have Name='John Smith', SSN='123456789', Address ='731, Fondren, Houston, TX', Sex='M', BirthDate='09-JAN-55‘ Each attribute has a value set (or data type) associated with it – e.g. integer, string, date, enumerated type, … Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 5 Types of Attributes (1) Simple Each entity has a single atomic value for the attribute. For example, SSN or Sex. Composite The attribute may be composed of several components. For example: Address(Apt#, House#, Street, City, State, ZipCode, Country), or Name(FirstName, MiddleName, LastName). Composition may form a hierarchy where some components are themselves composite. Multi-valued An entity may have multiple values for that attribute. For example, Color of a CAR or PreviousDegrees of a STUDENT. Denoted as {Color} or {PreviousDegrees}. {PreviousDegrees (College, Year, Degree, Field)} Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 6 Example of a composite attribute Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 7 Entity Types and Key Attributes (1) Entities with the same basic attributes are grouped or typed into an entity type. For example, the entity type EMPLOYEE and PROJECT. An attribute of an entity type for which each entity must have a unique value is called a key attribute of the entity type. For example, SSN of EMPLOYEE. Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 8 Entity Types and Key Attributes (2) A key attribute may be composite. VehicleTagNumber is a key of the CAR entity type with components (Number, State). An entity type may have more than one key. The CAR entity type may have two keys: VehicleIdentificationNumber (popularly called VIN) VehicleTagNumber (Number, State), aka license plate number. Each key is underlined (Note: this is different from the relational schema where only one “primary key is underlined). Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 9  Entity Set Each entity type will have a collection of entities stored in the database Called the entity set or sometimes entity collection Entity set is the current state of the entities of that type that are stored in the database Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 10 Value Sets (Domains) of Attributes Each simple attribute is associated with a value set E.g., Lastname has a value which is a character string of upto 15 characters, say Date has a value consisting of MM-DD-YYYY where each letter is an integer A value set specifies the set of values associated with an attribute Value sets are similar to data types in most programming languages – e.g., integer, character (n), real, bit Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 11 Displaying an Entity type In ER diagrams, an entity type is displayed in a rectangular box Attributes are displayed in ovals Each attribute is connected to its entity type Components of a composite attribute are connected to the oval representing the composite attribute Each key attribute is underlined Multivalued attributes displayed in double ovals See the full ER notation in advance on the next slide Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 12 NOTATION for ER diagrams Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 13 Entity Type CAR with two keys and a corresponding Entity Set Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 14 Example COMPANY Database We need to create a database schema design based on the following (simplified) requirements of the COMPANY Database: The company is organized into DEPARTMENTs. Each department has a name, number and an employee who manages the department. We keep track of the start date of the department manager. A department may have several locations. Each department controls a number of PROJECTs. Each project has a unique name, unique number and is located at a single location. Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 15 Example COMPANY Database (Continued) The database will store each EMPLOYEE’s social security number, address, salary, sex, and birthdate. Each employee works for one department but may work on several projects. The DB will keep track of the number of hours per week that an employee currently works on each project. It is required to keep track of the direct supervisor of each employee. Each employee may have a number of DEPENDENTs. For each dependent, the DB keeps a record of name, sex, birthdate, and relationship to the employee. Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 16 Initial Conceptual Design of Entity Types for the COMPANY Database Schema Based on the requirements, we can identify four initial entity types in the COMPANY database: DEPARTMENT PROJECT EMPLOYEE DEPENDENT Their initial conceptual design is shown on the following slide The initial attributes shown are derived from the requirements description Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 17 Initial Design of Entity Types: EMPLOYEE, DEPARTMENT, PROJECT, DEPENDENT Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 18 Refining the initial design by introducing relationships The initial design is typically not complete Some aspects in the requirements will be represented as relationships ER model has three main concepts: Entities (and their entity types and entity sets) Attributes (simple, composite, multivalued) Relationships (and their relationship types and relationship sets) We introduce relationship concepts next Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 19 Relationships and Relationship Types (1) A relationship relates two or more distinct entities with a specific meaning. For example, EMPLOYEE John Smith works on the ProductX PROJECT, or EMPLOYEE Franklin Wong manages the Research DEPARTMENT. Relationships of the same type are grouped or typed into a relationship type. For example, the WORKS_ON relationship type in which EMPLOYEEs and PROJECTs participate, or the MANAGES relationship type in which EMPLOYEEs and DEPARTMENTs participate. The degree of a relationship type is the number of participating entity types. Both MANAGES and WORKS_ON are binary relationships. Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 20 Relationship instances of the WORKS_FOR N:1 relationship between EMPLOYEE and DEPARTMENT Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 21 Relationship instances of the M:N WORKS_ON relationship between EMPLOYEE and PROJECT Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 22 Relationship type vs. relationship set (1) Relationship Type: Is the schema description of a relationship Identifies the relationship name and the participating entity types Also identifies certain relationship constraints Relationship Set: The current set of relationship instances represented in the database The current state of a relationship type Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 23 Relationship type vs. relationship set (2) Previous figures displayed the relationship sets Each instance in the set relates individual participating entities – one from each participating entity type In ER diagrams, we represent the relationship type as follows: Diamond-shaped box is used to display a relationship type Connected to the participating entity types via straight lines Note that the relationship type is not shown with an arrow. The name should be typically be readable from left to right and top to bottom. Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 24 Refining the COMPANY database schema by introducing relationships By examining the requirements, six relationship types are identified All are binary relationships( degree 2) Listed below with their participating entity types: WORKS_FOR (between EMPLOYEE, DEPARTMENT) MANAGES (also between EMPLOYEE, DEPARTMENT) CONTROLS (between DEPARTMENT, PROJECT) WORKS_ON (between EMPLOYEE, PROJECT) SUPERVISION (between EMPLOYEE (as subordinate), EMPLOYEE (as supervisor)) DEPENDENTS_OF (between EMPLOYEE, DEPENDENT) Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 25 ER DIAGRAM – Relationship Types are: WORKS_FOR, MANAGES, WORKS_ON, CONTROLS, SUPERVISION, DEPENDENTS_OF Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 26 Discussion on Relationship Types In the refined design, some attributes from the initial entity types are refined into relationships: Manager of DEPARTMENT -> MANAGES Works_on of EMPLOYEE -> WORKS_ON Department of EMPLOYEE -> WORKS_FOR etc In general, more than one relationship type can exist between the same participating entity types MANAGES and WORKS_FOR are distinct relationship types between EMPLOYEE and DEPARTMENT Different meanings and different relationship instances. Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 27 Constraints on Relationships Constraints on Relationship Types (Also known as ratio constraints) Cardinality Ratio (specifies maximum participation) One-to-one (1:1) One-to-many (1:N) or Many-to-one (N:1) Many-to-many (M:N) Existence Dependency Constraint (specifies minimum participation) (also called participation constraint) zero (optional participation, not existence-dependent) one or more (mandatory participation, existence-dependent) Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 28 Many-to-one (N:1) Relationship Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 29 Many-to-many (M:N) Relationship Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 30 Recursive Relationship Type A relationship type between the same participating entity type in distinct roles Also called a self-referencing relationship type. Example: the SUPERVISION relationship EMPLOYEE participates twice in two distinct roles: supervisor (or boss) role supervisee (or subordinate) role Each relationship instance relates two distinct EMPLOYEE entities: One employee in supervisor role One employee in supervisee role Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 31 Displaying a recursive relationship In a recursive relationship type. Both participations are same entity type in different roles. For example, SUPERVISION relationships between EMPLOYEE (in role of supervisor or boss) and (another) EMPLOYEE (in role of subordinate or worker). In following figure, first role participation labeled with 1 and second role participation labeled with 2. In ER diagram, need to display role names to distinguish participations. Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 32 A Recursive Relationship Supervision` Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 33 Recursive Relationship Type is: SUPERVISION (participation role names are shown) Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 34 Weak Entity Types An entity that does not have a key attribute and that is identification- dependent on another entity type. A weak entity must participate in an identifying relationship type with an owner or identifying entity type Entities are identified by the combination of: A partial key of the weak entity type The particular entity they are related to in the identifying relationship type Example: A DEPENDENT entity is identified by the dependent’s first name, and the specific EMPLOYEE with whom the dependent is related Name of DEPENDENT is the partial key DEPENDENT is a weak entity type EMPLOYEE is its identifying entity type via the identifying relationship type DEPENDENT_OF Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 35 Attributes of Relationship types A relationship type can have attributes: For example, HoursPerWeek of WORKS_ON Its value for each relationship instance describes the number of hours per week that an EMPLOYEE works on a PROJECT. A value of HoursPerWeek depends on a particular (employee, project) combination Most relationship attributes are used with M:N relationships In 1:N relationships, they can be transferred to the entity type on the N-side of the relationship Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 36 Example Attribute of a Relationship Type: Hours of WORKS_ON Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 37 Notation for Constraints on Relationships Cardinality ratio (of a binary relationship): 1:1, 1:N, N:1, or M:N Shown by placing appropriate numbers on the relationship edges. Participation constraint (on each participating entity type): total (called existence dependency) or partial. Total shown by double line, partial by single line. NOTE: These are easy to specify for Binary Relationship Types. Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 38 Alternative (min, max) notation for relationship structural constraints: Specified on each participation of an entity type E in a relationship type R Specifies that each entity e in E participates in at least min and at most max relationship instances in R Default(no constraint): min=0, max=n (signifying no limit) Must have min max, min 0, max  1 Derived from the knowledge of mini-world constraints Examples: A department has exactly one manager and an employee can manage at most one department. Specify (0,1) for participation of EMPLOYEE in MANAGES Specify (1,1) for participation of DEPARTMENT in MANAGES An employee can work for exactly one department but a department can have any number of employees. Specify (1,1) for participation of EMPLOYEE in WORKS_FOR Specify (0,n) for participation of DEPARTMENT in WORKS_FOR Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 39 The (min,max) notation for relationship constraints Read the min,max numbers next to the entity type and looking away from the entity type Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 40 COMPANY ER Schema Diagram using (min, max) notation Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 41 Summary of notation for ER diagrams Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 42 UML class diagrams Represent classes (similar to entity types) as large rounded boxes with three sections: Top section includes entity type (class) name Second section includes attributes Third section includes class operations (operations are not in basic ER model) Relationships (called associations) represented as lines connecting the classes Other UML terminology also differs from ER terminology Used in database design and object-oriented software design UML has many other types of diagrams for software design Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 43 UML class diagram for COMPANY database schema Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 44 Relationships of Higher Degree Relationship types of degree 2 are called binary Relationship types of degree 3 are called ternary and of degree n are called n-ary In general, an n-ary relationship is not equivalent to n binary relationships Constraints are harder to specify for higher- degree relationships (n > 2) than for binary relationships Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 45 Discussion of n-ary relationships (n > 2) In general, 3 binary relationships can represent different information than a single ternary relationship (see Figure 3.17a and b on next slide) If needed, the binary and n-ary relationships can all be included in the schema design (see Figure 3.17a and b, where all relationships convey different meanings) In some cases, a ternary relationship can be represented as a weak entity if the data model allows a weak entity type to have multiple identifying relationships (and hence multiple owner entity types) (see Figure 3.17c) Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 46 Example of a ternary relationship Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 47 Discussion of n-ary relationships (n > 2) If a particular binary relationship can be derived from a higher-degree relationship at all times, then it is redundant For example, the TAUGHT_DURING binary relationship in Figure 3.18 (see next slide) can be derived from the ternary relationship OFFERS (based on the meaning of the relationships) Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 48 Another example of a ternary relationship Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 49 Displaying constraints on higher-degree relationships The (min, max) constraints can be displayed on the edges – however, they do not fully describe the constraints Displaying a 1, M, or N indicates additional constraints An M or N indicates no constraint A 1 indicates that an entity can participate in at most one relationship instance that has a particular combination of the other participating entities In general, both (min, max) and 1, M, or N are needed to describe fully the constraints Overall, the constraint specification is difficult and possibly ambiguous when we consider relationships of a degree higher than two. Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 50 Another Example: A UNIVERSITY Database To keep track of the enrollments in classes and student grades, another database is to be designed. It keeps track of the COLLEGEs, DEPARTMENTs within each college, the COURSEs offered by departments, and SECTIONs of courses, INSTRUCTORs who teach the sections etc. These entity types and the relationships among these entity types are shown on the next slide in Figure 3.20. Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe Slide 3- 51 UNIVERSITY database conceptual schema ©2016 Ramez Elmasri and Shamkant B. Navathe Slide 3- 52 Copyright © 2017 Ramez Elmasri and Shamkant B. Navathe