Entity frameowork review sql send to năm 2024

Entity Framework is a popular Object-Relational Mapping [ORM] tool used by .NET developers. While querying a database using LINQ [Language-Integrated Query] with Entity Framework, there might be instances where you wish to inspect the SQL queries running beneath these LINQ statements. This capability can help you evaluate and optimize your application’s performance. In this article, you will learn how to view SQL queries running beneath LINQ when using Entity Framework.

Step 1: Establishing the Entity Framework and Database Connection

First and foremost, you need to establish a connection to a database using Entity Framework. After configuring your connection settings and adding the necessary Entity Framework packages to your project, create your connection as follows:

using [var context = new YourDbContext[]] {

// LINQ queries are executed here  
}

YourDbContext represents the type of the database connection you have established with Entity Framework. Once you've created your connection, you can execute LINQ queries within this context.

Step 2: Capturing SQL Queries

There are several methods provided by Entity Framework to capture the SQL queries running beneath LINQ. Here are some of them:

1. SQL Logging

Entity Framework offers the ability to log SQL queries. This allows you to output the executed SQL queries to the console or another output source. You can enable SQL logging with the following code:

context.Database.Log = s => Console.WriteLine[s];

This code will print the SQL queries generated for each LINQ query to the console.

2. Using ToTraceString

You can use the ToTraceString method of the ObjectQuery class to view the SQL queries running beneath LINQ queries. For example:

Debugging SQL queries can be a challenging task, particularly when trying to identify issues with an Entity Framework Core application. Fortunately, there are effective ways to view generated SQL queries from EF Core. These techniques can be beneficial for detecting and fixing issues. By applying these approaches, it becomes simpler to identify problems with our Entity Framework Core application. In this article, we'll explore some of the most common methods for viewing generated SQL queries.

Debugging

The simplest way to view generated SQL queries is to use a debugger. We can set a breakpoint to the method that interests us and see what's inside DebugView -> Query

Alternatively, we can assign this value to a local variable with the ToQueryString[] method of IQueryable.

var sql = query.ToQueryString[];

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The generated query looks like this:

Logging

EF Core provides a built-in logging mechanism that can be used to log generated SQL queries to the console, a file, or any other logging provider supported by .NET. We can enable logging with these two ways:

Using a logging provider

To use this approach, we need to add a logging provider and configure the logging options in our application's startup code. For example at our Program.cs file we can do the following :

var loggerFactory = LoggerFactory.Create[builder =>
{
    builder
        .AddFilter[[category, level] =>
            category == DbLoggerCategory.Database.Command.Name
            && level == LogLevel.Information]
        .AddConsole[];
}];
builder.Services.AddDbContext[opt => 
    opt.UseSqlServer[connectionString]
       .UseLoggerFactory[loggerFactory]];

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Here we use Microsoft's logging framework to create a logger factory that outputs log messages to the console with the .AddConsole[] method and we add a filter that only logs messages with a DbLoggerCategory.Database.Command.Name category and a

var loggerFactory = LoggerFactory.Create[builder =>
{
    builder
        .AddFilter[[category, level] =>
            category == DbLoggerCategory.Database.Command.Name
            && level == LogLevel.Information]
        .AddConsole[];
}];
builder.Services.AddDbContext[opt => 
    opt.UseSqlServer[connectionString]
       .UseLoggerFactory[loggerFactory]];

0 level.

Using the LogTo method

Another approach is to use the

var loggerFactory = LoggerFactory.Create[builder =>
{
    builder
        .AddFilter[[category, level] =>
            category == DbLoggerCategory.Database.Command.Name
            && level == LogLevel.Information]
        .AddConsole[];
}];
builder.Services.AddDbContext[opt => 
    opt.UseSqlServer[connectionString]
       .UseLoggerFactory[loggerFactory]];

1 method of the

var loggerFactory = LoggerFactory.Create[builder =>
{
    builder
        .AddFilter[[category, level] =>
            category == DbLoggerCategory.Database.Command.Name
            && level == LogLevel.Information]
        .AddConsole[];
}];
builder.Services.AddDbContext[opt => 
    opt.UseSqlServer[connectionString]
       .UseLoggerFactory[loggerFactory]];

2. For example:

builder.Services.AddDbContext[opt => 
opt.UseSqlServer[connectionString]
   .LogTo[Console.WriteLine,LogLevel.Information]];

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The

var loggerFactory = LoggerFactory.Create[builder =>
{
    builder
        .AddFilter[[category, level] =>
            category == DbLoggerCategory.Database.Command.Name
            && level == LogLevel.Information]
        .AddConsole[];
}];
builder.Services.AddDbContext[opt => 
    opt.UseSqlServer[connectionString]
       .UseLoggerFactory[loggerFactory]];

1 method takes an

var loggerFactory = LoggerFactory.Create[builder =>
{
    builder
        .AddFilter[[category, level] =>
            category == DbLoggerCategory.Database.Command.Name
            && level == LogLevel.Information]
        .AddConsole[];
}];
builder.Services.AddDbContext[opt => 
    opt.UseSqlServer[connectionString]
       .UseLoggerFactory[loggerFactory]];

4 as a parameter, that specifies where log messages should be sent, and a

var loggerFactory = LoggerFactory.Create[builder =>
{
    builder
        .AddFilter[[category, level] =>
            category == DbLoggerCategory.Database.Command.Name
            && level == LogLevel.Information]
        .AddConsole[];
}];
builder.Services.AddDbContext[opt => 
    opt.UseSqlServer[connectionString]
       .UseLoggerFactory[loggerFactory]];

5 value that specifies the minimum log level at which messages should be sent.

In both approaches the results will show up in the console like this :

info: Microsoft.EntityFrameworkCore.Database.Command[20101]  
Executed DbCommand [28ms] [Parameters=[@__p_0='?' [DbType = Int64]], CommandType='Text', CommandTimeout='30']  
SELECT TOP[1] [t].[Id], [t].[IsComplete], [t].[Name]  
FROM [TodoItems] AS [t]  
WHERE [t].[Id] = @__p_0

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LINQPad

LINQPad is a popular tool for writing and testing LINQ queries in .NET applications. It also includes a feature for visualizing and analyzing generated SQL queries from EF Core, making it a useful tool for debugging and optimizing database access.

To use LINQPad with EF Core, we follow these steps:

  1. Click at the left top corner on

var loggerFactory = LoggerFactory.Create[builder =>
{
    builder
        .AddFilter[[category, level] =>
            category == DbLoggerCategory.Database.Command.Name
            && level == LogLevel.Information]
        .AddConsole[];
}];
builder.Services.AddDbContext[opt => 
    opt.UseSqlServer[connectionString]
       .UseLoggerFactory[loggerFactory]];

6.

  1. Select 'Entity Framework Core' on the Data Context prompt

  1. We add the necessary information to connect to our database and test the connection by clicking

var loggerFactory = LoggerFactory.Create[builder =>
{
    builder
        .AddFilter[[category, level] =>
            category == DbLoggerCategory.Database.Command.Name
            && level == LogLevel.Information]
        .AddConsole[];
}];
builder.Services.AddDbContext[opt => 
    opt.UseSqlServer[connectionString]
       .UseLoggerFactory[loggerFactory]];

7.

  1. After pressing the

var loggerFactory = LoggerFactory.Create[builder =>
{
    builder
        .AddFilter[[category, level] =>
            category == DbLoggerCategory.Database.Command.Name
            && level == LogLevel.Information]
        .AddConsole[];
}];
builder.Services.AddDbContext[opt => 
    opt.UseSqlServer[connectionString]
       .UseLoggerFactory[loggerFactory]];

8 button , the database gets populated. To visualize the generated SQL query for a LINQ query, we simply run the query and view the SQL output in LINQPad.

For example:

Conclusion

In conclusion, there are several ways to see generated SQL queries from EF Core. Debugging and Logging are simple and effective ways to see SQL queries during development, and LINQPad is a useful tool for quick and ad-hoc debugging and optimization of database access. By using one of these methods, we can improve the performance and efficiency of our EF Core applications and ensure that they are working as expected.

How to view generated SQL from Entity Framework?

Visual Studio Output You can set the logging level for Microsoft to “Information”. Then you can view the SQL in the output log when running in debug mode from Visual Studio. The SQL will then be visible in the Output panel.

How to use SQL Server views with the Entity Framework?

Please just follow me in these steps:.

Create a class for this GardenInfo with relational properties..

DbContext: Create a DbSet for this class..

OnModelCreating: Link the class to the database view with its keys..

Application startup: inject the . sql query as a View into the database..

How can you intercept each time Entity Framework sends a query to the database?

Anytime Entity Framework sends a command to the database this command can be intercepted by application code. Using this approach, you can capture a lot more information transiently without having to untidy your code. EF6 provides a dedicated logging API that can make it easier to do logging.

Can we use SQL query in Entity Framework?

Entity Framework Core allows you to drop down to SQL queries when working with a relational database. SQL queries are useful if the query you want can't be expressed using LINQ, or if a LINQ query causes EF to generate inefficient SQL.

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