Book Image

Mastering Entity Framework Core 2.0

By : Prabhakaran Anbazhagan
Book Image

Mastering Entity Framework Core 2.0

By: Prabhakaran Anbazhagan

Overview of this book

Being able to create and maintain data-oriented applications has become crucial in modern programming. This is why Microsoft came up with Entity Framework so architects can optimize storage requirements while also writing efficient and maintainable application code. This book is a comprehensive guide that will show how to utilize the power of the Entity Framework to build efficient .NET Core applications. It not only teaches all the fundamentals of Entity Framework Core but also demonstrates how to use it practically so you can implement it in your software development. The book is divided into three modules. The first module focuses on building entities and relationships. Here you will also learn about different mapping techniques, which will help you choose the one best suited to your application design. Once you have understood the fundamentals of the Entity Framework, you will move on to learn about validation and querying in the second module. It will also teach you how to execute raw SQL queries and extend the Entity Framework to leverage Query Objects using the Query Object Pattern. The final module of the book focuses on performance optimization and managing the security of your application. You will learn to implement failsafe mechanisms using concurrency tokens. The book also explores row-level security and multitenant databases in detail. By the end of the book, you will be proficient in implementing Entity Framework on your .NET Core applications.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Dedication
Preface
4
Building Relationships – Understanding Mapping

Summary


We have explored multiple performance issues that we might run into, and the solutions required to tackle those issues. We started with the tracking behavior of EF Core and its projection behavior, then we explored detecting changes with bulk insert/updates, and how to handle them. We enhanced the application by supporting asynchronous operations, which allow us to handle threads effectively. Then we analyzed/fixed the data that was retrieved and transmitted over the network, right from volume, and columns until a number of database calls made to the data store. Finally, we saw how the data type mismatch affects us, also how the missing indexes affect our retrieval performance, and the way to improvise in those scenarios. The performance improvement measures we have been investigating in this chapter would help us in improving a system with worst performance (10,000ms+) to a system with best performance (<=1000 ms) which will be the performance Service Level Agreement (SLA) of...