Understanding the Relational Data Model: Lecture 3, Study notes of Mobile Computing

A set of lecture slides from dbdi university covering the topic of the relational data model. The slides include terminology, properties, keys, and integrity rules, as well as an introduction to views and codd's 12 rules. Students will learn how to represent data using relations, identify keys, and maintain data integrity.

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2010/2011

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DBDI 30/05/2007
Lecture 3 /Rel Model 1
DBDI/ Lecture 3
The Relational Data Model
Dr. Ala Al-Zobaidie
The slides are based on the textbook Database Systems by Thomas Connolly & Carolyn Begg
30/05/2007 Lecture 3 2
Lecture’s Objectives
Terminology of relational model.
How tables are used to represent data.
Properties of database relations.
How to identify candidate, primary, and
foreign keys.
Meaning of entity integrity and
referential integrity.
Purpose and advantages of views.
Codd’s 12 Rules
30/05/2007 Lecture 3 3
Relational Model Terminology
A relation is a table with columns
and rows.
Only applies to logical structure of the
database, not the physical structure.
Attribute is a named column of a
relation.
Domain is the set of allowable values
for one or more attributes.
30/05/2007 Lecture 3 4
Relational Model Terminology
Tuple is a row of a relation.
Degree is the number of attributes in
a relation.
Cardinality is the number of tuples in
a relation.
Relational Database is a collection of
normalized relations with distinct
relation names.
30/05/2007 Lecture 3 5
Instances of Branch and Staff (part)
Relations
30/05/2007 Lecture 3 6
Examples of Attribute Domains
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DBDI/ Lecture 3

The Relational Data Model

Dr. Ala Al-Zobaidie

The slides are based on the textbook Database Systems by Thomas Connolly & Carolyn Begg 30/05/2007 Lecture 3 2

Lecture’s Objectives

  • Terminology of relational model.
  • How tables are used to represent data.
  • Properties of database relations.
  • How to identify candidate, primary, and foreign keys.
  • Meaning of entity integrity and referential integrity.
  • Purpose and advantages of views.
  • Codd’s 12 Rules

30/05/2007 Lecture 3 3

Relational Model Terminology

  • A relation is a table with columns and rows. - Only applies to logical structure of the database, not the physical structure.
  • Attribute is a named column of a relation.
  • Domain is the set of allowable values for one or more attributes.

30/05/2007 Lecture 3 4

Relational Model Terminology

  • Tuple is a row of a relation.
  • Degree is the number of attributes in a relation.
  • Cardinality is the number of tuples in a relation.
  • Relational Database is a collection of normalized relations with distinct relation names.

30/05/2007 Lecture 3 5

Instances of Branch and Staff (part)

Relations

30/05/2007 Lecture 3 6

Examples of Attribute Domains

30/05/2007 Lecture 3 7

Alternative Terminology for Relational

Model

30/05/2007 Lecture 3 8

Database Relations

  • Relation schema
    • Named relation defined by a set of attribute and domain name pairs.
  • Relational database schema
    • Set of relation schemas, each with a distinct name.

30/05/2007 Lecture 3 9

Properties of Relations

  • Relation name is distinct from all other relation names in relational schema.
  • Each cell of relation contains exactly one atomic (single) value.
  • Each attribute has a distinct name.
  • Values of an attribute are all from the same domain.

30/05/2007 Lecture 3 10

Properties of Relations

  • Each tuple is distinct; there are no duplicate tuples.
  • Order of attributes has no significance.
  • Order of tuples has no significance, theoretically.

30/05/2007 Lecture 3 11

Relational Keys

  • Superkey
    • An attribute, or a set of attributes, that uniquely identifies a tuple within a relation.
  • Candidate Key
    • Superkey (K) such that no proper subset is a superkey within the relation.
    • In each tuple of R, values of K uniquely identify that tuple (uniqueness).
    • No proper subset of K has the uniqueness property (irreducibility).

30/05/2007 Lecture 3 12

Relational Keys

  • Primary Key
    • Candidate key selected to identify tuples uniquely within relation.
  • Alternate Keys
    • Candidate keys that are not selected to be primary key.
  • Foreign Key
    • Attribute, or set of attributes, within one relation that matches candidate key of some (possibly same) relation.

30/05/2007 Lecture 3 19

Updating Views

  • All updates to a base relation should

be immediately reflected in all views that reference that base relation.

  • If view is updated, underlying base

relation should reflect change.

30/05/2007 Lecture 3 20

Updating Views

  • There are restrictions on types of modifications that can be made through views: - Updates are allowed if query involves a single base relation and contains a candidate key of base relation. - Updates are not allowed involving multiple base relations. - Updates are not allowed involving aggregation or grouping operations.

30/05/2007 Lecture 3 21

Updating Views

  • Classes of views are defined as:
    • theoretically not updateable
    • theoretically updateable
    • partially updateable.

30/05/2007 Lecture 3 22

Classifying a DBMS as a Relational System

  • 12 rules (Codd )+ rule 0 (a foundational rule)
  • Classified into 5 functional areas consist of
    • Foundational rules
    • Structural rules
    • Integrity rules
    • Data manipulation rules
    • Data independence rules
  • Provides a test to assess whether a system is a RDBMS.
  • If these rules are not satisfied, the product should not be considered relational.

30/05/2007 Lecture 3 23

Codd’s 12 Rules / Foundational rules 0 ,1,2,3,4,5,6,7,8,9,10,11,

  • Foundational rules (0 &12)
    • Provides a test to assess whether a system is a relational DBMS.
    • If these rules are not satisfied, the product should not be considered relational.
  • Rule 0 – Foundational rule

30/05/2007 Lecture 3 24

Codd’s 12 Rules / Foundational rules 0 ,1,2,3,4,5,6,7,8,9,10,11, 12

  • Rule 12 – Non-subversion rule
    • Maintain Integrity rules should not be compromised - due to limitation of language (e.g. record oriented), or - security violation

30/05/2007 Lecture 3 25

Codd’s 12 Rules / Structural rules 0 , 1 ,2,3,4,5, 6 ,7,8,9,10,11, 12

  • Structural rules (Rule 1 & Rule 6)
    • Fundamental structural concept is the relation.
    • RDBMS must support several structural features, including relations, domains, primary, and foreign keys.
    • There should be a primary key for each relation in the database.

• Rule 1 – Information representation

• Rule 6 – View updating

30/05/2007 Lecture 3 26

Codd’s 12 Rules / Integrity rules 0 , 1 ,2, 3 ,4,5, 6 ,7,8,9, 10 ,11, 12

  • Integrity rules (Rule 3 and Rule 10)
    • Support of data integrity is an important criterion when assessing the suitability of a product.
    • The more integrity constraints maintained by the DBMS product, rather than by application programs, the better the guarantee of data quality.

• Rule 3 – Systematic treatment of

null values

• Rule 10 – Integrity independence

30/05/2007 Lecture 3 27

Codd’s 12 Rules / Data manipulation rules 0 , 1 , 2 , 3 ,4,5, 6 ,7,8,9, 10 ,11, 12

  • Data manipulation rules (Rule 2, Rule 4, Rule 5, and Rule 7) - An ideal relational DBMS should support 18 manipulation features. - These features define the completeness of the query language. - Adherence to rules insulates the user and application programs from the physical and logical mechanisms that implement the data management capabilities.

30/05/2007 Lecture 3 28

Codd’s 12 Rules / Data manipulation rules 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 ,8,9, 10 ,11, 12

• Rule 2 –Guaranteed access

• Rule 4 –Dynamic on-line catalogue

based on the relational model

• Rule 5 –Comprehensive data

sublanguage

• Rule 7 –High-level High-level

insert, update, delete

30/05/2007 Lecture 3 29

Codd’s 12 Rules / Data independence rules 0,1,2,3,4,5,6,7,8,9, 10 ,11, 12

  • Data independence rules (Rule 8, Rule 9, and Rule 11) - Specify the independence of data from the applications that use the data. - Adherence to these rules ensures that both users and developers are protected from having to change the applications following low-level reorganizations of the database.
  • Rule 8 – Physical data independence
  • Rule 9 – Logical data independence
  • Rule 11 –Distribution independence

30/05/2007 Lecture 3 30

Summary

  • Relational Model and its features
  • Classifying a Relation DBMS
  • Represent data.
  • Properties of database relations.
  • Candidate, primary, and foreign keys.
  • Entity integrity and referential integrity.
  • Views.
  • Codd’s 12 Rules