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Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Page 1: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

Lecture 3 Book Chapter 3 (part 2 )

From ER to Relational

Page 2: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

2

Relational Data Model Relational Query Language Integrity Constraints ER to RelationalLogical DB Design: ER to

Relational

Translate Entity sets to tables:

CREATE TABLE Employees (ssn CHAR(11), name CHAR(20), lot INTEGER, PRIMARY KEY (ssn))

Employees

ssnname

lot

Page 3: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to RelationalTranslate Relationship Sets

to Tables In translating a relationship

set to a relation, attributes of the relation must include:

Keys for each participating entity set (as foreign keys).

• This set of attributes forms a superkey for the relation.(why?)

All descriptive attributes.

CREATE TABLE Works_In( ssn CHAR(11), did INTEGER, since DATE, PRIMARY KEY (ssn, did), FOREIGN KEY (ssn) REFERENCES Employees, FOREIGN KEY (did) REFERENCES Departments)

lot

dname

budgetdid

sincename

Works_In DepartmentsEmployees

ssn

Page 4: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to Relational

Review: Key Constraints Each dept has at

most one manager, according to the key constraint on Manages.

Each department appears only once in relationship

Translation to relational model?

Many-to-Many1-to-1 1-to Many Many-to-1

dname

budgetdid

since

lot

name

ssn

ManagesEmployees Departments

Page 5: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to Relational

Translate Key Constraints

Approach I Separate tables

for Employees and Departments.

Note that did is the key now!

TABLE Dept_mgr(…)TABLE Employee (…)

CREATE TABLE Manages( ssn CHAR(11), did INTEGER, since DATE, PRIMARY KEY (did), FOREIGN KEY (ssn) REFERENCES Employees, FOREIGN KEY (did) REFERENCES Departments)

Page 6: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to Relational

Translate Key Constraints

Approach II Combine Manages

and Departments. Each department has

a unique manager

TABLE Employee (…)

CREATE TABLE Dept_Mgr( did INTEGER, dname CHAR(20), budget REAL, ssn CHAR(11), since DATE, PRIMARY KEY (did), FOREIGN KEY (ssn) REFERENCES Employees)

Page 7: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to RelationalReview: Participation

Constraints Every department must have a manager !

• Every did value in Departments table must appear in a row of the Manages table (with a non-null ssn value!)

lot

name dnamebudgetdid

sincename dname

budgetdid

since

Manages

since

DepartmentsEmployees

ssn

Works_In

Page 8: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to RelationalParticipation Constraints in

SQL Approach I.

• every did value in Department appears in a tuple of Works_In• the corresponding tuple must have a non-null ssn values

• Is that capture sufficient ?

TABLE Dept_mgr(…)TABLE Employee (…)

CREATE TABLE Manages( ssn CHAR(11) NOT NULL, did INTEGER, since DATE, PRIMARY KEY (did), FOREIGN KEY (ssn) REFERENCES Employees, FOREIGN KEY (did) REFERENCES Departments,

Page 9: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to RelationalParticipation Constraints in

SQL Approach I.

• every did value in Department appears in a tuple of Works_In• the corresponding tuple must have a non-null ssn values

TABLE Dept_mgr(…)TABLE Employee (…)

CREATE TABLE Manages( ssn CHAR(11) NOT NULL, did INTEGER, since DATE, PRIMARY KEY (did), FOREIGN KEY (ssn) REFERENCES Employees, FOREIGN KEY (did) REFERENCES Departments, CHECK (…))

Page 10: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to RelationalParticipation Constraints in

SQL Approach II. - capture participation constraints involving one entity set in a binary relationship, - but little else (without resorting to CHECK constraints).

CREATE TABLE Dept_Mgr( did INTEGER, dname CHAR(20), budget REAL, ssn CHAR(11) NOT NULL, since DATE, PRIMARY KEY (did), FOREIGN KEY (ssn) REFERENCES Employees, ON DELETE NO ACTION)

Page 11: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to RelationalParticipation Constraints in

SQL

What if we want to capture participation for many-to-many relationships?

What if we want to capture three-way relationships?

Anwer: We need to use CHECK constraints.

Page 12: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to Relational

Review: Weak Entities

A weak entity can be identified uniquely only by considering the primary key of another (owner) entity.

• Owner entity set and weak entity set must participate in a one-to-many relationship set (1 owner, many weak entities).

• Weak entity set must have total participation in this identifying relationship set.

lot

name

agepname

DependentsEmployees

ssn

Policy

cost

Page 13: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to Relational

Translating Weak Entity Sets Weak entity set and identifying

relationship set are translated into a single table. When the owner entity is deleted, all owned

weak entities must also be deleted.CREATE TABLE Dep_Policy ( pname CHAR(20), age INTEGER, cost REAL, ssn CHAR(11) NOT NULL, PRIMARY KEY (pname, ssn), FOREIGN KEY (ssn) REFERENCES Employees, ON DELETE CASCADE)

Page 14: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to Relational

Review: ISA Hierarchies

Contract_Emps

namessn

Employees

lot

hourly_wages

ISA

Hourly_Emps

contractid

hours_worked

As in C++, or other PLs, attributes are inherited.

If we declare A ISA B, every A entity is also considered to be a B entity.

Overlap constraints: Can Joe be an Hourly_Emps as well as a Contract_Emps entity? (Allowed/disallowed)

Covering constraints: Does every Employees entity also have to be an Hourly_Emps or a Contract_Emps entity? (Yes/no)

Page 15: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to Relational

Translating ISA Hierarchies

General approach: 3 relations: Employees, Hourly_Emps and

Contract_Emps.Employees ( ssn, name, lot) Hourly_Emps (ssn, hourly_wages, hours_worked);Contract_Emps (ssn, contractid);delete Hourly_Emps tuple if referenced Employees tuple is deleted (how?)

+ Queries involving all employees easy- Queries involving just Hourly_Emps require a Join.

Alternative: Just Hourly_Emps and Contract_Emps.Hourly_Emps (ssn, name, lot, hourly_wages, hours_worked)Hourly_Emps (ssn, name, lot, contractid) Each employee must be in one of these two subclasses.

Page 16: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to RelationalReview: Binary vs. Ternary

Relationships New requirements: 1. A policy cannot be owned by two or more employees.(Key Constraints)2. Every policy must be owned by some employee (Total participation)3. Dependents is a weak entity (Weak Entity)

What are the additional constraints in the 2nd diagram?

Why? (side-effect: one policy can only cover one dependent)

agepname

DependentsCovers

name

Employees

ssn lot

Policies

policyid cost

Beneficiary

agepname

Dependents

policyid cost

Policies

Purchaser

name

Employees

ssn lot

Bad design

Better design

Page 17: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to Relational

Binary vs. Ternary Relationships The key

constraints allow us to combine Purchaser with Policies and Beneficiary with Dependents.

Participation constraints lead to NOT NULL constraints.

What if Policies is a weak entity set? ON DELETE CASCADE

CREATE TABLE Policies ( policyid INTEGER, cost REAL, ssn CHAR(11) NOT NULL, PRIMARY KEY (policyid). FOREIGN KEY (ssn) REFERENCES Employees)

CREATE TABLE Dependents ( pname CHAR(20), age INTEGER, policyid INTEGER, PRIMARY KEY (pname, policyid). FOREIGN KEY (policyid) REFERENCES Policies, ON DELETE CASCADE)

Page 18: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to Relational

Views

A view is just a relation, but we store a definition, rather than a set of tuples. (Virtual View)

CREATE VIEW YoungActiveStudents (name, sid, course)AS SELECT S.name, S.sid, E.cid FROM Students S, Enrolled EWHERE S.sid = E.sid

Views can be dropped using the DROP VIEW

command. How to handle DROP TABLE if there’s a view on the

table?

• DROP TABLE { RESTRICT | CASCADE } 

Page 19: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to Relational

Views and Security

Views can be used to present necessary information (or a summary), while hiding details in underlying relation(s).

Given YoungStudents view only (not Students or Enrolled table)

User can find students who have enrolled, but not the grades of the courses they got.

Page 20: Lecture 3 Book Chapter 3 (part 2 ) From ER to Relational

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Relational Data Model Relational Query Language Integrity Constraints ER to Relational

Relational Model: Summary

A tabular representation of data. Simple and intuitive, currently the most widely

used. Integrity constraints can be specified by the

DBA, based on application semantics. DBMS checks for violations. Two important ICs: primary and foreign keys In addition, we always have domain constraints.

Powerful and natural query languages exist. Rules to translate ER to relational model