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

## Overview
Previously, we updated the database from the migration files using the `dotnet ef database update` command. This practice is convenient in a development environment but not in a production environment. In a production environment, the recommended approach is to generate SQL scripts. Using SQL scripts allows us to inspect migrations before deploying them to a production database.

In this lesson, we’ll review some ways to generate SQL scripts.

> **Note:** The commands in this lesson generate code and files. Through the terminal, we can navigate to these files by using relevant Linux commands such as `ls` to view a list of files & directories, `cd` to change directories, and `cat` to view file contents. A SPA widget showing the updated project with the generated files is also available.

## SQL scripts
 
The SQL scripts are made up of a set of SQL commands that describe a database operation.

# Overview
Previously, we updated the database from the migration files using the `dotnet ef database update` command. This practice is convenient in a development environment but not in a production environment. In a production environment, the recommended approach is to generate SQL scripts. Using SQL scripts allows us to inspect migrations before deploying them to a production database.

In this lesson, we’ll review some ways to generate SQL scripts.

> **Note:** The commands in this lesson generate code and files. Through the terminal, we can navigate to these files by using relevant Linux commands such as `ls` to view a list of files & directories, `cd` to change directories, and `cat` to view file contents. A SPA widget showing the updated project with the generated files is also available.

# SQL scripts
 
The SQL scripts are made up of a set of SQL commands that describe a database operation.

Learn how to use SQL scripts for production databases.

Getting Started

Reverse Engineering

Migrations

Configuring a Model

Query Data

Save Data

Logging and Testing

Conclusion

Appendix

Using Migrations in a Production Database

Overview

SQL scripts