Discover Entity Framework Core for efficient data access and relational mapping. Gain insights into workflows, model configuration, querying, change tracking, logging, and testing to boost productivity and code maintainability.

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ScaffoldDB.tar.gz

EFCore

EFCorePreCreateTablesInOutputDir

EFCorePreCreateTablesAndViewInOutputDir

EFCoreWithProxies

EFCoreWithXunit

CreateSchoolTablesInOutputDir

This course introduces Entity Framework Core for data access and object-relational mapping. Entity Framework Core provides benefits such as the ability to work with databases using .NET objects without the concern for underlying database tables. This leads to less code for data access and improved performance. 

You’ll begin with the workflows of Entity Framework Core—reverse engineering and migrations. Next, you’ll learn model configuration and relationships. Then, you’ll cover various methods for querying and saving data. You’ll also learn about change tracking and its relationship with queries. Finally, you’ll learn about logging and testing.

Entity Framework Core simplifies app development. By the end of this course, you’ll be able to improve code maintainability and concentrate on business logic by generating SQL, materializing results, and performing other tasks. You’ll have a good understanding of Entity Framework Core, which will improve your productivity and efficiency on your development journey.

Using Entity Framework Core for Data Access & Relational Mapping

## Custom join operations
In this lesson, we’ll demonstrate the join operations that are not possible with the `join` clause (query syntax), or the `Join` and `GroupJoin` methods (query method).

### Cross join
A **cross join** is the cartesian product, or combination of two or more source sequences, without any condition between the sources. In the illustration below, we combine the first sequence consisting of letters “A” and “B” with the second sequence of numbers “1,” “2,” and “3.” The output is a cartesian product.

# Custom join operations
In this lesson, we’ll demonstrate the join operations that are not possible with the `join` clause (query syntax), or the `Join` and `GroupJoin` methods (query method).

## Cross join
A **cross join** is the cartesian product, or combination of two or more source sequences, without any condition between the sources. In the illustration below, we combine the first sequence consisting of letters “A” and “B” with the second sequence of numbers “1,” “2,” and “3.” The output is a cartesian product.

Learn about join operations that are possible without the use of the join clause, Join, or GroupJoin methods.

Getting Started

Reverse Engineering

Migrations

Configuring a Model

Query Data

Save Data

Logging and Testing

Conclusion

Appendix

Custom Join Operations

Custom join operations

Cross join