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    Enterprise Application Development
    EC-332
    Progress0 / 37 topics
    Topics
    1. Overview of Enterprise Application Development: Microsoft technology history2. Introduction to .NET and its architecture3. Concept of MSIL, CLR, CLS, CTS4. Introduction to .NET framework: Managed and Unmanaged Code5. .Net Assembly6. Introduction to C# fundamentals7. Boxing and Unboxing8. Implementing multi-tier architecture9. Introduction to ADO.Net: SQL Injection, parameterized queries10. Usage of data set, Data adapter and command builder in disconnected model11. Introduction to delegate: Multicast delegates12. Introduction to windows forms13. HTML14. Introduction to javascript: javascript and its data types, variables, functions15. Debugging javascript using Firebug16. Introduction to various object models: Browser's Object (BOM), Document Object Model17. Introduction to Jquery: Jquery effects18. Introducing LINQ: LINQ to Objects, LINQ to SQL19. Query syntax, Operations (projection, filtering and join) using Linq Queries20. Introduction to ADO.NET entity framework: The entity data model, CSDL21. Eager vs lazy loading, POCO classes, DBContext API22. Querying entity data models23. Introduction to ASP.NET MVC24. MVC application structure, Controllers overview25. Action Methods, Parameterized action methods26. Introduction to razor syntax27. Code expressions, Code Blocks, Implicit Vs Explicit Code Expression28. Data annotations, Client and Server Side Validation29. Validation and model binding, Validation and model state30. MVC Membership, Authorization and security31. Introduction to service-oriented architecture: SOAP, WSDL32. Service contract, Data contract, XML, WCF bindings33. ABC of WCF, Restful services34. Consuming rest services (CRUD operations) using Jquery AJAX and JSON35. Introduction to web API36. Example of web API using CRUD Example37. MVC routing
    EC-332›Introduction to ADO.NET entity framework: The entity data model, CSDL
    Enterprise Application DevelopmentTopic 20 of 37

    Introduction to ADO.NET entity framework: The entity data model, CSDL

    7 minread
    1,222words
    Intermediatelevel

    Introduction to ADO.NET Entity Framework

    ADO.NET Entity Framework (EF) is an Object-Relational Mapping (ORM) framework provided by Microsoft as part of the .NET platform. It simplifies data access by allowing developers to work with data in an object-oriented way, instead of dealing with raw SQL queries. Entity Framework enables developers to interact with a relational database using objects and LINQ queries, which can automatically translate those queries into SQL commands behind the scenes.

    This model abstracts database interactions and provides a higher-level approach for querying and manipulating data, making it easier to work with databases and focusing on business logic rather than SQL.


    Key Concepts in ADO.NET Entity Framework

    • Entities: Represent objects in your application that correspond to rows in a database table. For example, a Person entity might represent a person in your application and map to a Person table in your database.
    • DbContext: This is the central class in the Entity Framework, providing access to the database and managing the entities. It works as a bridge between the database and your application’s entities.
    • LINQ to Entities: Allows developers to query the database using LINQ syntax, which is more natural and integrated into the language rather than writing raw SQL queries.

    The Entity Data Model (EDM)

    The Entity Data Model (EDM) is a conceptual framework used by Entity Framework to model your data. The EDM allows you to map the objects in your application to the relational data in the database. It consists of the following components:

    1. Conceptual Schema (CSDL - Conceptual Schema Definition Language)
    2. Storage Schema (SSDL - Store Schema Definition Language)
    3. Mapping (MSL - Mapping Specification Language)

    These components work together to define how your application objects are mapped to relational data in the database.


    CSDL (Conceptual Schema Definition Language)

    CSDL is a part of the Entity Data Model (EDM) and defines the conceptual schema of your data. It describes the entities, relationships, and data types of your application. The conceptual schema is independent of any specific database, allowing your application to operate at a higher level of abstraction.

    In CSDL, entities are defined as classes, and the relationships between them are defined (such as one-to-many or many-to-many). This schema is what developers primarily work with when using Entity Framework, as it represents the objects your application uses.

    The CSDL file describes:

    • Entities: These are the core elements of your application that map to database tables. For example, a Customer entity might map to the Customers table in your database.
    • Entity Sets: These represent collections of entities, often mapping to database tables.
    • Properties: These represent the fields in your entities, which correspond to columns in your database table.
    • Relationships: Relationships between entities, such as one-to-many or many-to-many relationships.

    Example of CSDL (Conceptual Schema Definition Language)

    Here’s an example of how a CSDL might look for a Customer and Order entity in a simple database model:

    <Schema xmlns="http://schemas.microsoft.com/ado/2009/11/edm" Namespace="MyModel">
      <!-- Define Customer Entity -->
      <EntityType Name="Customer">
        <Key>
          <PropertyRef Name="CustomerID" />
        </Key>
        <Property Name="CustomerID" Type="Int32" Nullable="false" />
        <Property Name="FirstName" Type="String" Nullable="false" />
        <Property Name="LastName" Type="String" Nullable="false" />
      </EntityType>
      
      <!-- Define Order Entity -->
      <EntityType Name="Order">
        <Key>
          <PropertyRef Name="OrderID" />
        </Key>
        <Property Name="OrderID" Type="Int32" Nullable="false" />
        <Property Name="OrderDate" Type="DateTime" Nullable="false" />
        <Property Name="CustomerID" Type="Int32" Nullable="false" />
      </EntityType>
      
      <!-- Define the Relationship Between Customer and Order -->
      <Association Name="CustomerOrders">
        <End Type="MyModel.Customer" Role="Customer" Multiplicity="1" />
        <End Type="MyModel.Order" Role="Orders" Multiplicity="*" />
        <ReferentialConstraint>
          <Principal Role="Customer">
            <PropertyRef Name="CustomerID" />
          </Principal>
          <Dependent Role="Orders">
            <PropertyRef Name="CustomerID" />
          </Dependent>
        </ReferentialConstraint>
      </Association>
    </Schema>
    

    In the above example:

    • The Customer entity has properties like CustomerID, FirstName, and LastName.
    • The Order entity has properties like OrderID, OrderDate, and CustomerID.
    • A relationship (CustomerOrders) is established between the Customer and Order entities using the CustomerID property.

    The CSDL represents the conceptual data model your application will use, and Entity Framework can automatically generate the corresponding SQL queries for database interaction.


    Why is CSDL Important?

    1. Separation of Concerns: CSDL allows you to define your data model without worrying about the underlying database schema. The Conceptual Schema is independent of the actual database.
    2. Rich Data Representation: With CSDL, you can define complex relationships and object structures (like inheritance and complex types), which makes your application model more expressive.
    3. Mapping: CSDL defines how your application’s entities map to relational database tables. This abstraction is one of the core benefits of using Entity Framework, as you don't need to write SQL queries manually for basic operations.

    Other EDM Components:

    1. SSDL (Store Schema Definition Language):

      • Describes the storage schema, which is essentially the database structure (tables, columns, relationships) in the database. It is usually automatically generated based on the database schema.
    2. MSL (Mapping Specification Language):

      • Defines how the conceptual schema (CSDL) maps to the storage schema (SSDL). It maps the entities defined in the conceptual model to the actual database tables and relationships.

    How Entity Framework Works

    Entity Framework uses the following approach:

    1. Define Entities (CSDL): Define your entities using classes and properties.
    2. Define Relationships: Define relationships between your entities (e.g., one-to-many, many-to-many).
    3. Context (DbContext): The DbContext class is responsible for managing entities and querying the database.
    4. Query and Update: You use LINQ queries or method calls to interact with the database. Entity Framework automatically generates the necessary SQL queries to interact with the database.
    5. Save Changes: After manipulating entities in the application, the changes are tracked by the DbContext and can be saved back to the database.

    Entity Framework: Advantages

    • Less Boilerplate Code: You don't need to manually write SQL queries for most database operations.
    • Strongly Typed: Your code benefits from IntelliSense and compile-time checking, which helps avoid errors in queries.
    • Cross-database: Entity Framework can work with multiple databases (SQL Server, MySQL, PostgreSQL, etc.), abstracting the underlying database interactions.
    • Productivity: EF allows rapid development as it abstracts low-level data access details.

    Conclusion

    ADO.NET Entity Framework simplifies data access by providing an Object-Relational Mapping (ORM) framework that allows developers to interact with databases using objects instead of raw SQL queries. The Entity Data Model (EDM) is at the heart of Entity Framework, consisting of the Conceptual Schema Definition Language (CSDL), which represents the data model in your application. CSDL allows for clear definition of entities, properties, and relationships, making it easier to work with complex data models and abstracting away the underlying database structure.

    This abstraction makes development easier, as you no longer need to manually write SQL for every interaction with the database. Instead, you can focus on your business logic while Entity Framework handles the database communication.

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