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Study PortalEC-332Entity Framework Intro…
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    EC-332

    Enterprise Application Development

    Progress0 / 37 done
    Topics37
    1Microsoft technology history2Introduction to .NET and its architecture3Concept of MSIL, CLR, CLS, CTS
    4Managed and Unmanaged Code5.Net Assembly6Introduction to C# fundamentals7Boxing and Unboxing8Implementing multi-tier architecture
    9SQL Injection, parameterized queries10Usage of data set, Data adapter and command builder in disconnected model
    11Multicast delegates12Introduction to windows forms13HTML
    14javascript and its data types, variables, functions15Debugging javascript using Firebug
    16Browser's Object (BOM), Document Object Model
    17Jquery effects
    18LINQ to Objects, LINQ to SQL19Query syntax, Operations (projection, filtering and join) using Linq Queries
    20The entity data model, CSDL21Eager vs lazy loading, POCO classes, DBContext API22Querying entity data models23Introduction to ASP.NET MVC24MVC application structure, Controllers overview25Action Methods, Parameterized action methods26Introduction to razor syntax27Code expressions, Code Blocks, Implicit Vs Explicit Code Expression28Data annotations, Client and Server Side Validation29Validation and model binding, Validation and model state30MVC Membership, Authorization and security
    31SOAP, WSDL32Service contract, Data contract, XML, WCF bindings33ABC of WCF, Restful services34Consuming rest services (CRUD operations) using Jquery AJAX and JSON35Introduction to web API36Example of web API using CRUD Example37MVC routing
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    Topic 20 of 37
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    Introduction to ADO.NET entity framework: The entity data model, CSDL

    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...

    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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    Eager vs lazy loading, POCO classes, DBContext API

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