SlideShare uma empresa Scribd logo
1 de 32
Domain Logic Patterns
Guided by :Priya Deshpande
Presented By:Shweta Ghate
 Domain Logic describe the functional
algorithms or business logic that handle the
information exchange between a database and
a user interfaces.
 A well organized Domain Logic components
are easy to maintain and scale.
 Transition Script
 Domain Model
 Table Moduless
 A Service Layer is placed over an underlying
Domain Model or Table Module
 Transaction Script organizes business logic by
procedures where each procedure handles a
single request from the presentation.
Revenue Recognition Problem
 A Transaction Script organizes all this logic
primarily as a single procedure, making calls
directly to the database or through a thin
database wrapper
 Each transaction will have its own Transaction
Script, although common subtasks can be
broken into sub procedures.
 With Transaction Script the domain logic is
primarily organized by the transactions that you
carry out with the system.
 For e.g.: If your need is to book a hotel room,
the logic to check room availability, calculate
rates, a the database is found inside the Book
Hotel Room procedure
Advantages
It is independent of other transaction.
It allow you to manipulate instances of scripts
as objects at runtime.
When to use it…?
Glory of Transaction Script is its simplicity .
As the business logic gets more complicated
,we can move to the Domain Model.
 Domain Model is an object model of the
domain that incorporates both behavior
and data.
Revenue Recognition Problem
 More complex business domains need to build in
Domain Model.
 It will give you many more options in structuring the
code, increasing readability and decreasing
duplication.
 Domain Model mingles data and process, has
multivalued attributes and a complex web of
associations, and uses inheritance.
 Simple Domain Model
 looks very much like the database design with
mostly one domain object for each database table.
 use Active Record
 Rich Domain Model
 look different from the database design, with
inheritance, strategies, and other patterns, and
complex webs of small interconnected objects.
 requires Data Mapper
 If you have complicated and ever changing business rules
involving validation, calculations, and derivations,
chances are that you'll want an object model to handle
them.
 Data Mapper which helps keep your Domain Model
independent from the database and is the best approach
to handle cases where the Domain Model and database
schema diverge.
 One of the problems with Domain Model is
the interface with relational databases.
 If you have many orders, a Domain Mode
will have one order object per order.
To overcome such problems we move to Table
Module.
 Table Module is a single instance that
handles the business logic for all rows in
a database table or view.
Revenue Recognition Problem
 A Table Module organizes domain logic with
one class per table in the database and a single
instance of a class contains the various
procedures that will act on the data.
 Table Module will have one object to handle
all orders.
 The strength of the of Table Module is that it allows
you to package the data and behavior together and at
the same time play to the strengths of the relational
database.
 We use Table Module with a backing data structure
that's table oriented.
 The tabular data is normally the result of SQL call
and is held in a Record Set that mimics a SQL table .
 Grouping the behavior with the table gives you many
of the benefits of encapsulation.
 The Table Module may be an instance or it may be a
collection of static methods.
 The Table Module may include queries as factory
methods.
 Table Module is very much based on table-oriented
data ,so we can use it when we access tabular data
using Record Set .
 Table Module allows you to fit business logic into the
application in a well-organized manner, without
losing the way the various elements work on the
tabular data.
 Service Layer defines an application's boundary with
a layer of services that establishes a set of available
operations and coordinates the application's response
in each operation.
 It encapsulates the application's business
logic, controlling transactions and coordinating
responses in the implementation of its operations
 Service Layer is a pattern for organizing business
 Service Layer factors each kind of business logic into
a separate layer, yielding the usual benefits of
layering and rendering the pure domain object classes
more reusable from application to application.
2 Basic implementation variations are
 Domain facade approach
 Operation script approach
 Service Layer is implemented as a set of thin facades
over a Domain Model
 The classes implementing the facades don't
implement any business logic but the Domain Model
implements all the business logics
 The thin facades establish a boundary and set of
operation through which client layers interact with
the application, exhibiting the defining characteristics
of Service Layer.
 Service Layer is implemented as a set of thicker
classes that directly implement application logic but
delegate to encapsulated domain object classes for
domain logic.
 A Service Layer is comprised of these application
service classes, which should extend a Layer
Supertype , abstracting their responsibilities and
common behaviors.

 Service Layer classes are well remote invocation
from an interface granularity perspective.
 Starting with a locally invocable Service Layer
whose method signatures deal in domain object, we
can add services remotability when we need it by
putting Remote Facades on your Service Layer .
 Identifying the operations needed on a Service Layer
boundary is pretty straightforward and they're
determined by the needs of Service Layer clients.
 The starting point for identifying Service Layer
operations is the use case model and the user
interface design for the application.
 The benefit of Service Layer is that it defines a
common set of application operations available to
many kinds of clients.
 An application with more than one kind of type of its
business logic, and complex response in its use cases
involving multiple transaction resources, it makes a
lot of sense to include a Service Layer with container-
managed, transactions, even in an undistributed
architecture.
 Domain Model you may want to consider Service
Layer to give your Domain Model a more distinct
API
 Patterns of Enterprise Application Architecture,
Martin Fowler, Addison-Wesley Professional,
2003,ISBN-10: 0321127420 ISBN-13:
9780321127426
 Paper :Homework 1 : Domain Logic , by Basanta Raj
Onta (111701), Computer Science – August 2010.
Domain logic patterns of Software Architecture

Mais conteúdo relacionado

Mais procurados

Cloud computing reference architecture from nist and ibm
Cloud computing reference architecture from nist and ibmCloud computing reference architecture from nist and ibm
Cloud computing reference architecture from nist and ibm
Richard Kuo
 
Introduction to NoSQL Databases
Introduction to NoSQL DatabasesIntroduction to NoSQL Databases
Introduction to NoSQL Databases
Derek Stainer
 

Mais procurados (20)

Introdução ao NoSQL e modelagem de dados com MongoDB
Introdução ao NoSQL e modelagem de dados com MongoDBIntrodução ao NoSQL e modelagem de dados com MongoDB
Introdução ao NoSQL e modelagem de dados com MongoDB
 
Spring boot
Spring bootSpring boot
Spring boot
 
Introduction to EJB
Introduction to EJBIntroduction to EJB
Introduction to EJB
 
Spring Framework - Data Access
Spring Framework - Data AccessSpring Framework - Data Access
Spring Framework - Data Access
 
Spring Data JPA
Spring Data JPASpring Data JPA
Spring Data JPA
 
Rich domain model
Rich domain modelRich domain model
Rich domain model
 
An Introduction To NoSQL & MongoDB
An Introduction To NoSQL & MongoDBAn Introduction To NoSQL & MongoDB
An Introduction To NoSQL & MongoDB
 
Spring data jpa
Spring data jpaSpring data jpa
Spring data jpa
 
[오픈소스컨설팅] jira service desk 201908
[오픈소스컨설팅] jira service desk 201908[오픈소스컨설팅] jira service desk 201908
[오픈소스컨설팅] jira service desk 201908
 
Introduction to MongoDB
Introduction to MongoDBIntroduction to MongoDB
Introduction to MongoDB
 
Mongo db intro.pptx
Mongo db intro.pptxMongo db intro.pptx
Mongo db intro.pptx
 
Spring Data JPA
Spring Data JPASpring Data JPA
Spring Data JPA
 
Java RMI
Java RMIJava RMI
Java RMI
 
Introduction to SAP Gateway and OData
Introduction to SAP Gateway and ODataIntroduction to SAP Gateway and OData
Introduction to SAP Gateway and OData
 
Cloud computing reference architecture from nist and ibm
Cloud computing reference architecture from nist and ibmCloud computing reference architecture from nist and ibm
Cloud computing reference architecture from nist and ibm
 
Saga about distributed business transactions in microservices world
Saga about distributed business transactions in microservices worldSaga about distributed business transactions in microservices world
Saga about distributed business transactions in microservices world
 
Spring Core
Spring CoreSpring Core
Spring Core
 
Spring MVC
Spring MVCSpring MVC
Spring MVC
 
Introduction to NoSQL Databases
Introduction to NoSQL DatabasesIntroduction to NoSQL Databases
Introduction to NoSQL Databases
 
NOSQL and MongoDB Database
NOSQL and MongoDB DatabaseNOSQL and MongoDB Database
NOSQL and MongoDB Database
 

Destaque

Patterns of Enterprise Application Architecture (by example)
Patterns of Enterprise Application Architecture (by example)Patterns of Enterprise Application Architecture (by example)
Patterns of Enterprise Application Architecture (by example)
Paulo Gandra de Sousa
 
HATEOAS: The Confusing Bit from REST
HATEOAS: The Confusing Bit from RESTHATEOAS: The Confusing Bit from REST
HATEOAS: The Confusing Bit from REST
elliando dias
 
Ensayo observación
Ensayo observaciónEnsayo observación
Ensayo observación
lauhernagar
 
Cache optimization
Cache optimizationCache optimization
Cache optimization
Kavi Kathir
 
Cache Optimization with Akamai
Cache Optimization with AkamaiCache Optimization with Akamai
Cache Optimization with Akamai
Blake Crosby
 
Memory technology and optimization in Advance Computer Architechture
Memory technology and optimization in Advance Computer ArchitechtureMemory technology and optimization in Advance Computer Architechture
Memory technology and optimization in Advance Computer Architechture
Shweta Ghate
 
Classification of memory hierarchy in system unit
Classification of memory hierarchy in system unitClassification of memory hierarchy in system unit
Classification of memory hierarchy in system unit
Deepjyoti Talukdar
 
A summary of software architecture guide
A summary of software architecture guideA summary of software architecture guide
A summary of software architecture guide
Triet Ho
 
ORM, JPA, & Hibernate Overview
ORM, JPA, & Hibernate OverviewORM, JPA, & Hibernate Overview
ORM, JPA, & Hibernate Overview
Brett Meyer
 

Destaque (20)

Patterns of Enterprise Application Architecture (by example)
Patterns of Enterprise Application Architecture (by example)Patterns of Enterprise Application Architecture (by example)
Patterns of Enterprise Application Architecture (by example)
 
MVVM de A à Z
MVVM de A à ZMVVM de A à Z
MVVM de A à Z
 
Cache memory
Cache memoryCache memory
Cache memory
 
HATEOAS: The Confusing Bit from REST
HATEOAS: The Confusing Bit from RESTHATEOAS: The Confusing Bit from REST
HATEOAS: The Confusing Bit from REST
 
Cache Design for an Alpha Microprocessor
Cache Design for an Alpha MicroprocessorCache Design for an Alpha Microprocessor
Cache Design for an Alpha Microprocessor
 
Лекция 4. Оптимизация доступа к памяти (Memory access optimization, cache opt...
Лекция 4. Оптимизация доступа к памяти (Memory access optimization, cache opt...Лекция 4. Оптимизация доступа к памяти (Memory access optimization, cache opt...
Лекция 4. Оптимизация доступа к памяти (Memory access optimization, cache opt...
 
3 tier architecture
3 tier architecture3 tier architecture
3 tier architecture
 
Patterns of enterprise application architecture
Patterns of enterprise application architecturePatterns of enterprise application architecture
Patterns of enterprise application architecture
 
Ensayo observación
Ensayo observaciónEnsayo observación
Ensayo observación
 
Cache optimization
Cache optimizationCache optimization
Cache optimization
 
Cache Optimization with Akamai
Cache Optimization with AkamaiCache Optimization with Akamai
Cache Optimization with Akamai
 
Memory technology and optimization in Advance Computer Architechture
Memory technology and optimization in Advance Computer ArchitechtureMemory technology and optimization in Advance Computer Architechture
Memory technology and optimization in Advance Computer Architechture
 
Memory Hierarchy Design, Basics, Cache Optimization, Address Translation
Memory Hierarchy Design, Basics, Cache Optimization, Address TranslationMemory Hierarchy Design, Basics, Cache Optimization, Address Translation
Memory Hierarchy Design, Basics, Cache Optimization, Address Translation
 
Classification of memory hierarchy in system unit
Classification of memory hierarchy in system unitClassification of memory hierarchy in system unit
Classification of memory hierarchy in system unit
 
A summary of software architecture guide
A summary of software architecture guideA summary of software architecture guide
A summary of software architecture guide
 
Design Pattern - MVC, MVP and MVVM
Design Pattern - MVC, MVP and MVVMDesign Pattern - MVC, MVP and MVVM
Design Pattern - MVC, MVP and MVVM
 
Future of Integration | MuleSoft
Future of Integration | MuleSoftFuture of Integration | MuleSoft
Future of Integration | MuleSoft
 
ORM, JPA, & Hibernate Overview
ORM, JPA, & Hibernate OverviewORM, JPA, & Hibernate Overview
ORM, JPA, & Hibernate Overview
 
Application Architecture: The Next Wave | MuleSoft
Application Architecture: The Next Wave | MuleSoftApplication Architecture: The Next Wave | MuleSoft
Application Architecture: The Next Wave | MuleSoft
 
Agile vs Iterative vs Waterfall models
Agile vs Iterative vs Waterfall models Agile vs Iterative vs Waterfall models
Agile vs Iterative vs Waterfall models
 

Semelhante a Domain logic patterns of Software Architecture

Seminar - Scalable Enterprise Application Development Using DDD and CQRS
Seminar - Scalable Enterprise Application Development Using DDD and CQRSSeminar - Scalable Enterprise Application Development Using DDD and CQRS
Seminar - Scalable Enterprise Application Development Using DDD and CQRS
Mizanur Sarker
 
Super applied in a sitecore migration project
Super applied in a sitecore migration projectSuper applied in a sitecore migration project
Super applied in a sitecore migration project
dodoshelu
 
Peoplesoft PIA architecture
Peoplesoft PIA architecturePeoplesoft PIA architecture
Peoplesoft PIA architecture
Amit rai Raaz
 
J2EE Notes JDBC database Connectiviy and Programs related to JDBC
J2EE Notes JDBC database Connectiviy and Programs related to JDBCJ2EE Notes JDBC database Connectiviy and Programs related to JDBC
J2EE Notes JDBC database Connectiviy and Programs related to JDBC
ChaithraCSHirematt
 

Semelhante a Domain logic patterns of Software Architecture (20)

Domain Logic Patterns
Domain Logic PatternsDomain Logic Patterns
Domain Logic Patterns
 
Lecture 9 - SOA in Context
Lecture 9 - SOA in ContextLecture 9 - SOA in Context
Lecture 9 - SOA in Context
 
L07 Oranizing Domain Logic
L07 Oranizing Domain LogicL07 Oranizing Domain Logic
L07 Oranizing Domain Logic
 
L13 Oranizing Domain Logic
L13 Oranizing Domain LogicL13 Oranizing Domain Logic
L13 Oranizing Domain Logic
 
Building a SaaS Style Application
Building a SaaS Style ApplicationBuilding a SaaS Style Application
Building a SaaS Style Application
 
DDD
DDDDDD
DDD
 
Nina Grantcharova - Approach to Separation of Concerns via Design Patterns
Nina Grantcharova - Approach to Separation of Concerns via Design PatternsNina Grantcharova - Approach to Separation of Concerns via Design Patterns
Nina Grantcharova - Approach to Separation of Concerns via Design Patterns
 
Seminar - Scalable Enterprise Application Development Using DDD and CQRS
Seminar - Scalable Enterprise Application Development Using DDD and CQRSSeminar - Scalable Enterprise Application Development Using DDD and CQRS
Seminar - Scalable Enterprise Application Development Using DDD and CQRS
 
J2EE pattern 5
J2EE pattern 5J2EE pattern 5
J2EE pattern 5
 
Super applied in a sitecore migration project
Super applied in a sitecore migration projectSuper applied in a sitecore migration project
Super applied in a sitecore migration project
 
Java TechTalk "Spring boot made life easier with Kubernetes and Microservices"
Java TechTalk "Spring boot made life easier with Kubernetes and Microservices"Java TechTalk "Spring boot made life easier with Kubernetes and Microservices"
Java TechTalk "Spring boot made life easier with Kubernetes and Microservices"
 
Peoplesoft PIA architecture
Peoplesoft PIA architecturePeoplesoft PIA architecture
Peoplesoft PIA architecture
 
Soa interview questions (autosaved)
Soa interview questions (autosaved)Soa interview questions (autosaved)
Soa interview questions (autosaved)
 
Domain Driven Design
Domain Driven DesignDomain Driven Design
Domain Driven Design
 
Soa interview questions
Soa interview questionsSoa interview questions
Soa interview questions
 
Contract First Modeling Services Using Uml
Contract First Modeling Services Using UmlContract First Modeling Services Using Uml
Contract First Modeling Services Using Uml
 
Overview of atg framework
Overview of atg frameworkOverview of atg framework
Overview of atg framework
 
J2EE Notes JDBC database Connectiviy and Programs related to JDBC
J2EE Notes JDBC database Connectiviy and Programs related to JDBCJ2EE Notes JDBC database Connectiviy and Programs related to JDBC
J2EE Notes JDBC database Connectiviy and Programs related to JDBC
 
Technology Overview
Technology OverviewTechnology Overview
Technology Overview
 
Serverless Computing and Serverless Patterns .pdf
Serverless Computing and Serverless Patterns .pdfServerless Computing and Serverless Patterns .pdf
Serverless Computing and Serverless Patterns .pdf
 

Último

1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
QucHHunhnh
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
PECB
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
ciinovamais
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
QucHHunhnh
 

Último (20)

Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writing
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 

Domain logic patterns of Software Architecture

  • 1. Domain Logic Patterns Guided by :Priya Deshpande Presented By:Shweta Ghate
  • 2.  Domain Logic describe the functional algorithms or business logic that handle the information exchange between a database and a user interfaces.  A well organized Domain Logic components are easy to maintain and scale.
  • 3.  Transition Script  Domain Model  Table Moduless  A Service Layer is placed over an underlying Domain Model or Table Module
  • 4.  Transaction Script organizes business logic by procedures where each procedure handles a single request from the presentation.
  • 6.  A Transaction Script organizes all this logic primarily as a single procedure, making calls directly to the database or through a thin database wrapper  Each transaction will have its own Transaction Script, although common subtasks can be broken into sub procedures.
  • 7.  With Transaction Script the domain logic is primarily organized by the transactions that you carry out with the system.  For e.g.: If your need is to book a hotel room, the logic to check room availability, calculate rates, a the database is found inside the Book Hotel Room procedure
  • 8. Advantages It is independent of other transaction. It allow you to manipulate instances of scripts as objects at runtime. When to use it…? Glory of Transaction Script is its simplicity . As the business logic gets more complicated ,we can move to the Domain Model.
  • 9.  Domain Model is an object model of the domain that incorporates both behavior and data.
  • 11.  More complex business domains need to build in Domain Model.  It will give you many more options in structuring the code, increasing readability and decreasing duplication.  Domain Model mingles data and process, has multivalued attributes and a complex web of associations, and uses inheritance.
  • 12.  Simple Domain Model  looks very much like the database design with mostly one domain object for each database table.  use Active Record  Rich Domain Model  look different from the database design, with inheritance, strategies, and other patterns, and complex webs of small interconnected objects.  requires Data Mapper
  • 13.  If you have complicated and ever changing business rules involving validation, calculations, and derivations, chances are that you'll want an object model to handle them.  Data Mapper which helps keep your Domain Model independent from the database and is the best approach to handle cases where the Domain Model and database schema diverge.
  • 14.  One of the problems with Domain Model is the interface with relational databases.  If you have many orders, a Domain Mode will have one order object per order. To overcome such problems we move to Table Module.
  • 15.  Table Module is a single instance that handles the business logic for all rows in a database table or view.
  • 17.  A Table Module organizes domain logic with one class per table in the database and a single instance of a class contains the various procedures that will act on the data.  Table Module will have one object to handle all orders.
  • 18.  The strength of the of Table Module is that it allows you to package the data and behavior together and at the same time play to the strengths of the relational database.  We use Table Module with a backing data structure that's table oriented.  The tabular data is normally the result of SQL call and is held in a Record Set that mimics a SQL table .
  • 19.  Grouping the behavior with the table gives you many of the benefits of encapsulation.  The Table Module may be an instance or it may be a collection of static methods.  The Table Module may include queries as factory methods.
  • 20.  Table Module is very much based on table-oriented data ,so we can use it when we access tabular data using Record Set .  Table Module allows you to fit business logic into the application in a well-organized manner, without losing the way the various elements work on the tabular data.
  • 21.  Service Layer defines an application's boundary with a layer of services that establishes a set of available operations and coordinates the application's response in each operation.  It encapsulates the application's business logic, controlling transactions and coordinating responses in the implementation of its operations
  • 22.
  • 23.  Service Layer is a pattern for organizing business  Service Layer factors each kind of business logic into a separate layer, yielding the usual benefits of layering and rendering the pure domain object classes more reusable from application to application.
  • 24. 2 Basic implementation variations are  Domain facade approach  Operation script approach
  • 25.  Service Layer is implemented as a set of thin facades over a Domain Model  The classes implementing the facades don't implement any business logic but the Domain Model implements all the business logics  The thin facades establish a boundary and set of operation through which client layers interact with the application, exhibiting the defining characteristics of Service Layer.
  • 26.  Service Layer is implemented as a set of thicker classes that directly implement application logic but delegate to encapsulated domain object classes for domain logic.  A Service Layer is comprised of these application service classes, which should extend a Layer Supertype , abstracting their responsibilities and common behaviors. 
  • 27.  Service Layer classes are well remote invocation from an interface granularity perspective.  Starting with a locally invocable Service Layer whose method signatures deal in domain object, we can add services remotability when we need it by putting Remote Facades on your Service Layer .
  • 28.  Identifying the operations needed on a Service Layer boundary is pretty straightforward and they're determined by the needs of Service Layer clients.  The starting point for identifying Service Layer operations is the use case model and the user interface design for the application.
  • 29.  The benefit of Service Layer is that it defines a common set of application operations available to many kinds of clients.  An application with more than one kind of type of its business logic, and complex response in its use cases involving multiple transaction resources, it makes a lot of sense to include a Service Layer with container- managed, transactions, even in an undistributed architecture.
  • 30.  Domain Model you may want to consider Service Layer to give your Domain Model a more distinct API
  • 31.  Patterns of Enterprise Application Architecture, Martin Fowler, Addison-Wesley Professional, 2003,ISBN-10: 0321127420 ISBN-13: 9780321127426  Paper :Homework 1 : Domain Logic , by Basanta Raj Onta (111701), Computer Science – August 2010.