Entity Framework - Overview

Entity Framework - Overview
Written by Sagar RabidasDecember 2, 2021
9 min read
Entity Framework
Sagar Rabidas

Software Developer

In this blog, we will discuss the above Entity Framework.

About Entity Framework:-

Entity Framework was first released in 2008, Microsoft's primary means of interacting between .NET applications and relational databases. Entity Framework is an Object Relational Mapper (ORM) which is a type of tool that simplifies mapping between objects in your software to the tables and columns of a relational database.

The Entity Framework enables developers to work with data in the form of domain-specific objects and properties, such as customers and customer addresses, without having to concern themselves with the underlying database tables and columns where this data is stored. With the Entity Framework, developers can work at a higher level of abstraction when they deal with data and can create and maintain data-oriented applications with less code than in traditional applications. Because the Entity Framework is a component of the .NET Framework, Entity Framework applications can run on any computer on which the .NET Framework starting with version 3.5 SP1 is installed.

Why Entity Framework?

Entity Framework is an ORM and ORMs are aimed to increase the developer’s productivity by reducing the redundant task of persisting the data used in the applications.

Entity Framework can generate the necessary database commands for reading or writing data in the database and execute them for you.

If you're querying, you can express your queries against your domain objects using LINQ to entities.

Entity Framework will execute the relevant query in the database and then materialize results into instances of your domain objects for you to work within your app.

There are other ORMs in the marketplace such as NHibernate and LLBLGen Pro. Most ORMs typically map domain types directly to the database schema.

Give life to models

A longstanding and common design approach when building an application or service is the division of the application or service into three parts: a domain model, a logical model, and a physical model. The domain model defines the entities and relationships in the system that is being modeled. The logical model for a relational database normalizes the entities and relationships into tables with foreign key constraints. The physical model addresses the capabilities of a particular data engine by specifying storage details such as partitioning and indexing.

The physical model is refined by database administrators to improve performance, but programmers writing application code primarily confine themselves to working with the logical model by writing SQL queries and calling stored procedures. Domain models are generally used as a tool for capturing and communicating the requirements of an application, frequently as inert diagrams that are viewed and discussed in the early stages of a project and then abandoned. Many development teams skip creating a conceptual model and begin by specifying tables, columns, and keys in a relational database.

The Entity Framework gives life to models by enabling developers to query entities and relationships in the domain model (called a conceptual model in the Entity Framework) while relying on the Entity Framework to translate those operations to data source–specific commands. This frees applications from hard-coded dependencies on a particular data source.

When working with Code First, the conceptual model is mapped to the storage model in code. The Entity Framework can infer the conceptual model based on the object types and additional configurations that you define. The mapping metadata is generated during run time based on a combination of how you defined your domain types and additional configuration information that you provide in code. Entity Framework generates the database as needed based on the metadata. For more information, see Creating a Model.

When working with the Entity Data Model Tools, the conceptual model, the storage model, and the mappings between the two are expressed in XML-based schemas and defined in files that have corresponding name extensions:

Conceptual schema definition language (CSDL) defines the conceptual model. CSDL is the Entity Framework's implementation of the Entity Data Model. The file extension is .csdl.

Store schema definition language (SSDL) defines the storage model, which is also called the logical model. The file extension is .ssdl.

Mapping specification language (MSL) defines the mappings between the storage and conceptual models. The file extension is .msl.

The storage model and mappings can change as needed without requiring changes to the conceptual model, data classes, or application code. Because storage models are provider-specific, you can work with a consistent conceptual model across various data sources.

The Entity Framework uses these model and mapping files to create, read, update, and delete operations against entities and relationships in the conceptual model to equivalent operations in the data source. The Entity Framework even supports mapping entities in the conceptual model to stored procedures in the data source. For more information, see CSDL, SSDL, and MSL Specifications.


Following are the basic features of the Entity Framework. This list is created based on the most notable features and also from frequently asked questions about Entity Framework.

  • Entity Framework is a Microsoft tool.
  • Entity Framework is being developed as an Open Source product.
  • Entity Framework is no longer tied or dependent on the .NET release cycle.
  • Works with any relational database with a valid Entity Framework provider.
  • SQL command generation from LINQ to Entities.
  • Entity Framework will create parameterized queries.
  • Tracks changes to in-memory objects.
  • Allows to insert, update and delete command generation.
  • Works with a visual model or with your classes.
  • Entity Framework has stored Procedure Support.

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Sagar Rabidas
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