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نسخة كاملة : ما الأفضل، EF Queries or SQL Queries ؟
أنت حالياً تتصفح نسخة خفيفة من المنتدى . مشاهدة نسخة كاملة مع جميع الأشكال الجمالية .

مرحبًا تيم ، شكرًا على فيديو رائع آخر! لقد تعلمت الكثير في دروسك ومن المثير للإعجاب أن ترى مدى عمق فهمك للغة ومدى شرحك لها بوضوح. شكرا للمشاركة!
192.168.100.1 192.168.1.1 jpg to pdf
Therefore, I will first write most of the differences between the two languages ​​to be a reference for all those who moved from Visual Basic to Less Sharp
And the topic will be closed because I will write the differences on more than once on the same topic here so that the coordination is consecutive for those who search for it.
EF (Entity Framework) queries and SQL queries serve different purposes and have their own advantages and considerations. It's not a matter of one being inherently better than the other, but rather depends on the specific requirements and context of your application. Here are some factors to consider:

EF Queries (using an ORM like Entity Framework):

Object-Oriented Approach: EF allows you to work with objects and use LINQ (Language Integrated Query) to write queries in a more expressive and readable manner.
Automatic Mapping: EF handles the mapping between your database tables and objects, reducing the need for manual mapping code.
The choice between EF (Entity Framework) queries and SQL queries depends on various factors and the specific requirements of your project. Here are some considerations for each:

EF Queries (using an ORM like Entity Framework):

Object-Oriented Approach: EF allows you to work with objects and use LINQ (Language Integrated Query) to write queries in a more expressive and readable manner, leveraging the power of the .NET ecosystem.
Automatic Mapping: EF handles the mapping between your database tables and objects, reducing the need for manual mapping code and making it easier to work with the data in an object-oriented manner.
Unlocking Performance: Discover the Key Differences Between EF Queries and SQL Queries. Make Informed Choices for Optimal Data Management.
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