《数据库系统概念 Database System Concepts》原书教学资源（第六版，PPT课件讲稿，英文版）Chapter 22 Object-Based Databases

Chapter 22:Object-Based Databases Complex Data Types and Object Orientation Structured Data Types and Inheritance in SQL Table Inheritance Array and Multiset Types in SQL Object Identity and Reference Types in SQL Implementing O-R Features Persistent Programming Languages Comparison of Object-Oriented and Object-Relational Databases Database System Concepts-6th Edition 22.2 ©Silberschat乜，Korth and Sudarshan

Database System Concepts - 6 22.2 ©Silberschatz, Korth and Sudarshan th Edition Chapter 22: Object-Based Databases Complex Data Types and Object Orientation Structured Data Types and Inheritance in SQL Table Inheritance Array and Multiset Types in SQL Object Identity and Reference Types in SQL Implementing O-R Features Persistent Programming Languages Comparison of Object-Oriented and Object-Relational Databases

Object-Relational Data Models Extend the relational data model by including object orientation and constructs to deal with added data types. Allow attributes of tuples to have complex types,including non-atomic values such as nested relations. Preserve relational foundations,in particular the declarative access to data,while extending modeling power. Upward compatibility with existing relational languages. Database System Concepts-6th Edition 22.3 @Silberschatz,Korth and Sudarshan

Database System Concepts - 6 22.3 ©Silberschatz, Korth and Sudarshan th Edition Object-Relational Data Models Extend the relational data model by including object orientation and constructs to deal with added data types. Allow attributes of tuples to have complex types, including non-atomic values such as nested relations. Preserve relational foundations, in particular the declarative access to data, while extending modeling power. Upward compatibility with existing relational languages

Complex Data Types Motivation: Permit non-atomic domains (atomic indivisible) Example of non-atomic domain:set of integers,or set of tuples Allows more intuitive modeling for applications with complex data Intuitive definition: allow relations whenever we allow atomic(scalar)values -relations within relations Retains mathematical foundation of relational model Violates first normal form. Database System Concepts-6th Edition 22.4 ©Silberschat乜，Korth and Sudarshan

Database System Concepts - 6 22.4 ©Silberschatz, Korth and Sudarshan th Edition Complex Data Types Motivation: Permit non-atomic domains (atomic  indivisible) Example of non-atomic domain: set of integers,or set of tuples Allows more intuitive modeling for applications with complex data Intuitive definition: allow relations whenever we allow atomic (scalar) values — relations within relations Retains mathematical foundation of relational model Violates first normal form

Example of a Nested Relation Example:library information system Each book has title, a list(array)of authors, Publisher,with subfields name and branch,and a set of keywords Non-1NF relation books title author_array publisher keyword_set (name,branch) Compilers [Smith,Jones] (McGraw-Hill,New York) [parsing,analysis} Networks [Jones,Frick] (Oxford,London) [Internet,Web Database System Concepts-6th Edition 22.5 ©Silberschat乜，Korth and Sudarshan

Database System Concepts - 6 22.5 ©Silberschatz, Korth and Sudarshan th Edition Example of a Nested Relation Example: library information system Each book has title, a list (array) of authors, Publisher, with subfields name and branch, and a set of keywords Non-1NF relation books

4NF Decomposition of Nested Relation title author position Suppose for simplicity that title uniquely identifies a Compilers Smith 1 book Compilers Jones 2 Networks Jones 1 In real world ISBN is a Networks Frick 2 unique identifier authors Decompose books into 4NF using the schemas: title keyword (title,author,position Compilers parsing (title,keyword Compilers analysis (title,pub-name,pub- Networks Internet branch Networks Web 4NF design requires users keywords to include joins in their queries. title pub_name pub_branch Compilers McGraw-Hill New York Networks Oxford London books4 Database System Concepts-6th Edition 22.6 ©Silberschat乜，Korth and Sudarshan

Database System Concepts - 6 22.6 ©Silberschatz, Korth and Sudarshan th Edition 4NF Decomposition of Nested Relation Suppose for simplicity that title uniquely identifies a book In real world ISBN is a unique identifier Decompose books into 4NF using the schemas: (title, author, position ) (title, keyword ) (title, pub-name, pub￾branch ) 4NF design requires users to include joins in their queries

Complex Types and SQL Extensions introduced in SQL:1999 to support complex types: Collection and large object types Nested relations are an example of collection types Structured types Nested record structures like composite attributes Inheritance Object orientation Including object identifiers and references Not fully implemented in any database system currently But some features are present in each of the major commercial database systems Read the manual of your database system to see what it supports Database System Concepts-6th Edition 22.7 @Silberschatz,Korth and Sudarshan

Database System Concepts - 6 22.7 ©Silberschatz, Korth and Sudarshan th Edition Complex Types and SQL Extensions introduced in SQL:1999 to support complex types: Collection and large object types  Nested relations are an example of collection types Structured types  Nested record structures like composite attributes Inheritance Object orientation  Including object identifiers and references Not fully implemented in any database system currently But some features are present in each of the major commercial database systems  Read the manual of your database system to see what it supports

Structured Types and Inheritance in SQL Structured types(a.k.a.user-defined types)can be declared and used in SQL create type Name as (firstname varchar(20), lastname varchar(20)) final create type Address as (street varchar(20), city varchar(20), zipcode varchar(20)) not final Note:final and not final indicate whether subtypes can be created Structured types can be used to create tables with composite attributes create table person name Name, address Address, dateOfBirth date) Dot notation used to reference components:name.firstname Database System Concepts-6th Edition 22.8 @Silberschatz,Korth and Sudarshan

Database System Concepts - 6 22.8 ©Silberschatz, Korth and Sudarshan th Edition Structured Types and Inheritance in SQL Structured types (a.k.a. user-defined types) can be declared and used in SQL create type Name as (firstname varchar(20), lastname varchar(20)) final create type Address as (street varchar(20), city varchar(20), zipcode varchar(20)) not final Note: final and not final indicate whether subtypes can be created Structured types can be used to create tables with composite attributes create table person ( name Name, address Address, dateOfBirth date) Dot notation used to reference components: name.firstname

Structured Types(cont.) User-defined row types create type PersonType as( name Name, address Address, dateOfBirth date) not final Can then create a table whose rows are a user-defined type create table customer of CustomerType Alternative using unnamed row types. create table person_r( name row(firstname varchar(20), lastname varchar(20)) address row(street varchar(20), city varchar(20), zipcode varchar(20)), dateOfBirth date) Database System Concepts-6th Edition 22.9 ©Silberschat乜，Korth and Sudarshan

Database System Concepts - 6 22.9 ©Silberschatz, Korth and Sudarshan th Edition Structured Types (cont.) User-defined row types create type PersonType as ( name Name, address Address, dateOfBirth date) not final Can then create a table whose rows are a user-defined type create table customer of CustomerType Alternative using unnamed row types. create table person_r( name row(firstname varchar(20), lastname varchar(20)), address row(street varchar(20), city varchar(20), zipcode varchar(20)), dateOfBirth date)

Methods Can add a method declaration with a structured type. method ageOnDate (onDate date) returns interval year Method body is given separately. create instance method ageOnDate (onDate date) returns interval year for CustomerType begin return onDate-self.dateOfBirth: end We can now find the age of each customer: select name.lastname,ageOnDate(current_date) from customer Database System Concepts-6th Edition 22.10 @Silberschatz,Korth and Sudarshan

Database System Concepts - 6 22.10 ©Silberschatz, Korth and Sudarshan th Edition Methods Can add a method declaration with a structured type. method ageOnDate (onDate date) returns interval year Method body is given separately. create instance method ageOnDate (onDate date) returns interval year for CustomerType begin return onDate - self.dateOfBirth; end We can now find the age of each customer: select name.lastname, ageOnDate (current_date) from customer

Constructor Functions Constructor functions are used to create values of structured types E.g. create function Name(firstname varchar(20),lastname varchar(20)) returns Name begin set self.firstname firstname; set self.lastname lastname; end To create a value of type Name,we use new Name('John',Smith') Normally used in insert statements insert into Person values (new Name('John',Smith), new Address('20 Main St','New York','11001) date‘1960-8-22); Database System Concepts-6th Edition 22.11 ©Silberschat乜，Korth and Sudarshan

Database System Concepts - 6 22.11 ©Silberschatz, Korth and Sudarshan th Edition Constructor Functions Constructor functions are used to create values of structured types E.g. create function Name(firstname varchar(20), lastname varchar(20)) returns Name begin set self.firstname = firstname; set self.lastname = lastname; end To create a value of type Name, we use new Name(‘John’, ‘Smith’) Normally used in insert statements insert into Person values (new Name(‘John’, ‘Smith), new Address(’20 Main St’, ‘New York’, ‘11001’), date ‘1960-8-22’);