ASP.NET Core

Entity Framework Core: String Filter Tips

I have been working on an application that is backed by Entity Framework Core using SQLite and I have hit a couple of things that were not super clear to me at first when dealing with string filters. This post is going to cover setting up a sample application and demoing a couple of things to keep in mind when working with string in filters.

Sample Application

I’m using the Razor Pages template with individual auth as the base for this sample since it comes with Entity Framework Core already set up and ready to go. Using a command prompt in the directory you want the sample project created run the following command.

dotnet new razor --auth Individual

Open the resulting project in your editor of choice and add a Models folder. As usual, I’m going to be using a contact as my example so inside the Models folder create a Contact class matching the following. The override on ToString is just to make it easy to see the results when debugging.

public class Contact
{
    public int Id { get; set; }
    public string FirstName { get; set; }
    public string LastName { get; set; }
    public string Address { get; set; }
    public string City { get; set; }
    public string State { get; set; }
    public string Zip { get; set; }

    public override string ToString()
    {
        return $"{Id} - {LastName}, {FirstName}";
    }
}

Next, open the ApplicationDbContext found in the Data folder and add the following DbSet property to expose our contacts.

public DbSet<Contact> Contacts { get; set; }

Add the following OnModelCreating function to the ApplicationDbContext which will create some test data for us.

protected override void OnModelCreating(ModelBuilder builder)
{
    builder.Entity<Contact>()
           .HasData(new Contact
                    {
                        Id = 1,
                        FirstName = "Bob",
                        LastName = "Smith",
                        Address = "123 Main Street",
                        City = "Nashville",
                        State = "TN",
                        Zip = "35970"
                    },
                    new Contact
                    {
                        Id = 2,
                        FirstName = "Sam",
                        LastName = "Smith",
                        Address = "1 Sun Lane",
                        City = "Knoxville",
                        State = "TN",
                        Zip = "48909"
                    },
                    new Contact
                    {
                        Id = 3,
                        FirstName = "Clark",
                        LastName = "Swift",
                        Address = "750 10th Street",
                        City = "Chattanooga",
                        State = "TN",
                        Zip = "91590"
                    }
                   );

    base.OnModelCreating(builder);
}

Back in the command prompt run the following command in the same directory as the csproj file to create a migration for our new contact model.

dotnet ef migrations add Contacts

Finally, run the following command to apply the migration to your database.

dotnet ef database update

Data Execution

For this example, I don’t really care to display the results in a UI so I am using the OnGetAsync of the Index page to run my queries. The following is my full index page model with a query that returns all the contacts. The rest of the post will just be showing the LINQ statements to query the database and not the full page model.

public class IndexModel : PageModel
{
    private readonly ApplicationDbContext _context;

    public IndexModel(ApplicationDbContext context)
    {
        _context = context;
    }

    public async Task<IActionResult> OnGetAsync()
    {
        var contacts = await _context.Contacts.ToListAsync();

        return Page();
    }
}

The above results in all the of the contacts seeded being return.

1 - Smith, Bob
2 - Smith, Sam
3 - Swit, Clark

Like Queries

As part of the Entity Framework Core 2.0 release EF.Functions.Like was added which allows usages of wildcards that were not possible using string function translation that was previously the only option.  The following query is an example of using like.

_context.Contacts
        .Where(c => EF.Functions.Like(c.LastName, "S_i%"))
        .ToListAsync();

While this would have been possible before I would imagine the query would have been nasty and involved some level of client-side evaluation. The result of the query is the same as above.

Greater Than/Less Than

Using String.Compare or value.CompareTo will allow you to do greater than or less than comparison on strings. For example String.Compare(value) > 0 give you a greater than and less than zero would be for less than. For example, here is a string comparison query along with the SQL that is generated.

_context.Contacts
        .Where(c => String.Compare(c.FirstName, "D") > 0 )
        .ToListAsync();

SELECT [c].[Id], [c].[Address], [c].[City], [c].[FirstName], [c].[LastName], [c].[State], [c].[Zip]
FROM [Contacts] AS [c]
WHERE [c].[FirstName] > N'D'

It is important to not try and use any of the overloads of String.Compare or you will end up with client-side evaluation of your query. The following is a query that uses one of the overloads and the SQL that is generated.

_context.Contacts
        .Where(c => String.Compare(c.FirstName, "D", StringComparison.Ordinal) > 0)
        .ToListAsync();

SELECT [c].[Id], [c].[Address], [c].[City], [c].[FirstName], [c].[LastName], [c].[State], [c].[Zip]
FROM [Contacts] AS [c]

Notice that the first query has a Where clause and the second one doesn’t. This means the second query will pull all the records to the client and then apply the filter.  While this is fine to a small amount of data please be careful with queries that are evaluated client-side as they can cause performance issues.

Both of the above queries return the following result.

2 - Smith, Sam

Wrapping Up

This is one of those posts that will be a reminder for me as much as anything. I do hope that is save you some time of clears up a bit how some of the way that Entity Framework Core handles strings.

Entity Framework Core: String Filter Tips Read More »

Migration from ASP.NET Core 2.1 to 2.2

On December 4th .NET Core 2.2 including ASP.NET Core 2.2 and Entity Framework 2.2. In this post, I will be taking one of the projects used in the ASP.NET Basics series and converting it from ASP.NET 2.1.x to the new 2.2 version of ASP.NET Core. This will all be based on the official 2.2 migration guide.

The code before any changes can be found here. In the sample solution, this guide will be working with the Contacts project only.

Installation

Head over to the .NET download page and download the new version of the .NET Core SDK for version 2.2 which is available for Window, Linux and Mac.

After installation is done run the following command if you want to verify the SDK is installed.

dotnet --list-sdks

You should see 2.2.100 listed. If you are like me you might also see a few preview versions that would be good to uninstall.

If you are using Visual Studio make sure you are on at least version 15.9. If not updates can be downloaded from here.

Project File Changes

Right-click on the project and select Edit projectName.csproj.

Change the TargetFramework to netcoreapp2.2.

Before:
<TargetFramework>netcoreapp2.1</TargetFramework>
After:
<TargetFramework>netcoreapp2.2</TargetFramework>

Update any Microsoft packages with a version to 2.2.x the following is an example.

Before:
<PackageReference Include="Microsoft.VisualStudio.Web.CodeGeneration.Design" Version="2.1.1" PrivateAssets="All" />

After:
<PackageReference Include="Microsoft.VisualStudio.Web.CodeGeneration.Design" Version="2.2.0" PrivateAssets="All" />

If you want to use the new IIS in-process hosting model you also need to add the following line to a property group.

<AspNetCoreHostingModel>InProcess</AspNetCoreHostingModel>

The following is my full csproj for reference.

<Project Sdk="Microsoft.NET.Sdk.Web">

  <PropertyGroup>
    <TargetFramework>netcoreapp2.2</TargetFramework>
    <AspNetCoreHostingModel>InProcess</AspNetCoreHostingModel>
    <UserSecretsId>aspnet-Contacts-cd2c7b27-e79c-43c7-b3ef-1ecb04374b70</UserSecretsId>
  </PropertyGroup>

  <ItemGroup>
    <PackageReference Include="Microsoft.AspNetCore.App" />
    <PackageReference Include="Microsoft.VisualStudio.Web.CodeGeneration.Design" Version="2.2.0" PrivateAssets="All" />
    <PackageReference Include="Swashbuckle.AspNetCore" Version="4.0.1" />
  </ItemGroup>

</Project>

Startup Changes

In Startup.cs update the compatibility version to enable the new 2.2 features.

Before:
services.AddMvc().SetCompatibilityVersion(CompatibilityVersion.Version_2_1);

After:
services.AddMvc().SetCompatibilityVersion(CompatibilityVersion.Version_2_2);

Wrapping Up

As with the migration to 2.1 the move to 2.2 is really easy to do. Make sure you check out the official migration guide for more details that may have not been covered by this project.

The code in its final state can be found here.

Migration from ASP.NET Core 2.1 to 2.2 Read More »

Visual Studio Missing Scaffolding for ASP.NET Core

This morning I set out to try the Scaffold Identity option that was added as part of the ASP.NET 2.1 release. The docs for this feature is really good so I didn’t think I would have any issue, but I was wrong.

Sample Application

To start I used the .NET CLI to create a new application using the following command.

dotnet new razor

I then opened the project in Visual Studio. Then following the docs I right-clicked on the project and expanded the Add option, but the New Scaffolded item is missing.

Sample Application 2

Since the project created using the CLI didn’t have the option I thought I would try creating a new project in Visual Studio. From in Visual Studio using File > New > Project.

Under Visual C# > Web select ASP.NET Core Web Application and click OK.

Select Web Application and then click OK.

After the creation process finishes I right-clicked on the project and expanded the Add option and the New Scaffolded item is there.

What’s the difference?

After trying a lot of different things I finally got to the point of looking at the csproj files for both projects. Here is the csproj from the Visual Studio create project.

<Project Sdk="Microsoft.NET.Sdk.Web">
  <PropertyGroup>
    <TargetFramework>netcoreapp2.1</TargetFramework>
  </PropertyGroup>

  <ItemGroup>
    <PackageReference Include="Microsoft.AspNetCore.App" />
    <PackageReference Include="Microsoft.AspNetCore.Razor.Design" Version="2.1.2" PrivateAssets="All" />
  </ItemGroup>
</Project>

And the csproj from the CLI created project.

<Project Sdk="Microsoft.NET.Sdk.Web">
  <PropertyGroup>
    <TargetFramework>netcoreapp2.2</TargetFramework>
  </PropertyGroup>


  <ItemGroup>
    <PackageReference Include="Microsoft.AspNetCore.App" />
    <PackageReference Include="Microsoft.AspNetCore.Razor.Design" Version="2.2.0-preview3-35497" PrivateAssets="All" />
  </ItemGroup>
</Project>

Notice that the CLI created project is targeting .NET Core 2.2 which is in preview at the time of this writing. Not surprisingly Visual Studio has some limits on what can be done using preview bits.

Wrapping Up

I can’t believe that I let having preview bits installed cause me issues again. I’m guessing that most people aren’t installing the previews so hopefully, this isn’t an issue most of you will have to deal with.

If you do want to use the CLI to create an application targeting a specific version of .NET Core it can be done using a global.json file. Check out Controlling .NET Core’s SDK Version for more information.

Visual Studio Missing Scaffolding for ASP.NET Core Read More »

Azure DevOps Project

After last week’s post on Azure Pipelines: Release to Azure App Service I came across a much easier way to get started using Azure DevOps and Azure App Servies. This post is going to walk through this process which is started from the Azure Portal side instead of Azure DevOps.

The names here are going to be a bit confusing. When I say Azure DevOps I am talking about the rebrand of Visual Studio Team Services which includes services for boards, repos, pipeline, etc. When I say Azure DevOps Project, or just DevOps Project, I am referring to the project type this post is going to be using from the Azure Portal side.

Create DevOps Project

From the Azure Portal click the Create a resource button.

For me, DevOps Project was in the list of popular items. If you don’t see it list you can use the search at the top to find it. Click on the DevOps Project to start the process.

On the next page, you have options to start a new application with a lot of different languages or to deploy an existing application. For this example, we are going to select .NET and click the Next button. This screen is a great example of how Microsoft is working hard to support more than just .NET.

For .NET the next choice is ASP.NET or ASP.NET Core. No surprise I’m sure that we are going to go with ASP.NET Core. There is also an option for adding a database, but we aren’t going to use it for this example. Click Next to continue.

The next step is to select which Azure Service the new application should run on. We are going to use a Linux Web App to match what last week’s sample was running on. Click Next to continue.

There are quite a few settings on this next screen, but they are all pretty clear. The first group of settings is for the Azure DevOps project and you can either use an existing account or the process will create one for you. A Project name is required.

The next group of settings is for the Azure App Service that will be created. Subscription should default in if you only have one. Web app name is going to control the URL Azure provides as well as play in the naming of the resources that are created. Click Done to start the creation process.

Deployment

After clicking down above the deployment of all the need resources will start. This process takes awhile. The portal will redirect you to a status page similar to the following while deployment is in progress. It took a little over 4 minutes for mine to complete.

When the deployment is complete click the Go to resource button.

Results

The Overview page for the project gives a great summary of the whole CI/CD pipeline that was created with links to the associated Azure DevOps pages to manage each step. The Azure resources section will have the URL you can use to access the running application.

The resulting application should look similar to the following.

Wrapping Up

This process is a much easier way to get started if you are going all in with Azure. If you read last week’s post you know there is a lot that goes into creating something close to this setup manually and even then it was missing the nice overview provided by this setup.

Azure DevOps Project Read More »

Azure Pipelines: Release to Azure App Service

This post is going to use the same Azure DevOps project used in last week’s Azure Repos and Azure Pipelines post which had a build pipeline and add a release pipeline that deploys to an Azure App Service.

This walkthrough is going to assume you have an Azure account already set up using the same email address as Azure DevOps. If you don’t have an Azure account one signup for an Azure Free Account.

Build Changes

The build set up in last week’s post proved that the code built, but it didn’t actually do anything with the results of that build. In order to use the results of the build, we need to publish the resulting files. This will be needed later when setting up the release pipeline.

In order to get the results we are looking for a few steps must be added to our build.  All the changes are being made in the azure-pipelines.yml. The following is my full yaml file with the new tasks.

pool:
  vmImage: 'Ubuntu 16.04'

variables:
  buildConfiguration: 'Release'

steps:
- task: DotNetCoreCLI@2
  displayName: Build
  inputs:
    projects: '**/EfSqlite.csproj'
    arguments: '--configuration $(BuildConfiguration)'
- task: DotNetCoreCLI@2
  displayName: Publish
  inputs:
    command: publish
    publishWebProjects: True
    arguments: '--configuration $(BuildConfiguration) --output $(build.artifactstagingdirectory)'
- task: PublishBuildArtifacts@1
  displayName: 'Publish Artifact'
  inputs:
    PathtoPublish: '$(build.artifactstagingdirectory)'

As you can see in the above yaml this build now has three different steps. The build (this is equivalent to what the post from last week was doing) and publish (this gets all the files in the right places) tasks are both handled using the DotNetCoreCLI@2 task.  Finally, the PublishBuildArtifacts@1 takes the results of the publish and zips them to the artifact staging directory where they can be used in a release pipeline.

Create an Azure App Service

Feel free to skip this section if you have an existing App Service to use. To create a new App Service open the Azure Portal and select App Services from the left navigation.

Next, click the Add button.

On the next page, we are going to select Web App.

Now hit the Create button.

The next page you will need to enter an App name, select the OS, and Runtime Stack before hitting the Create button. The OS and Runtime Stack should match the target of your application.

Create a Release Pipeline

On your project from the left navigation select Pipelines > Releases and then click the New pipeline button. If you already have a release pipeline setup this page will look different.

The next page has a list of template you can select from. In this example, we will be selecting Azure App Service deployment and then click the Apply button.

 

 

Artifact Set Up

After clicking Apply you will hit the pipeline overview page with to sets of information. The first is the Artifacts which for us is going to be the results of the build pipeline we set up in last week’s post. Click the Add an artifact box.

The Add an artifact dialog is where you will select where the release will get its build artifact form. We will be using the source type of build and selecting our existing build pipeline.

Once you select your build pipeline as the Source a few more controls will show up. I took the defaults on all of them. Take note of the box highlighted in the screenshot as it will give you a warning if you build is missing artifacts. Click the Add button to complete.

 

Stage Setup

 

Above we selected the Azure App Service template which is now in our pipeline as Stage 1. Notice the red exclamation, which means the stage has some issues that need to be addressed before it can be used. Click on the stage box to open it.

 

As you can see in the following screenshot the settings that are missing are highlighted in red on the Deploy Azure App Service task.  On Stage 1 click the Unlink all button and confirm. Doing this means there is more setup on the Deploy Azure App Service task, but this is the only way to use .NET Core 2.1 at the time of this writing. For some reason, the highest version available at the Stage level for Linux is .NET Core 2.0.

After clicking unlink all the options other than the name of the stage will be removed. Next, click on Deploy Azure App Service task which handles the bulk to the work will place for this pipeline. There are a lot of setting on this task. Here is a screenshot of my setup and I will call out the important bits after.

First, select your Azure subscription. You may be required to Authorize your account so if you see an Authorize button click it and go through the sign in steps for your Azure account.

Take special note of App type. In this sample, we are using Linux so it is important to select Linux App from the drop down instead of the just using Web App.

With your Azure subscription and App type selected the App Service name drop-down should only let you select Linux based App  Services that exist on your subscription.

For Image Source, I went with the Built-in Image, but it does have the option to enter use a container from a registry if the built-in doesn’t meet your needs.

For Package or folder, the default should work if you only have a single project. Since this, I have two projects I used the file browser (the … button) to select the specific zip file I want to deploy.

Runtime Stack needs to to be .NET Core 2.1 for this application.

Startup command needs to be set up to tell the .NET CLI to run the assembly that is the entry point for the application. In the example, this works out to be dotnet EfSqlite.dll.

After all the settings have been entered hit the Save button in the top right of the screen.

Execute Release Pipeline

Navigate back to Pipelines > Release and select the release you want to run. Then click the Create a release button.

On the next page, all you have to do is select the Artifact you want to deploy and then click the Create button.

Create will start the release process and send you back to the main release page. There will be a link at the top of the release page that you can click to see the status of the release.

The following is the results of my release after it has completed.

Wrapping Up

I took me more trial and error to get this setup going that I would have hoped, but once all the pieces are get up the results are awesome. At the very minimum, I recommend taking the time to at least set up a build that is triggered when code is checked into your repos. Having the feedback that a build is broken as soon as the code hits the repo versus finding out when you need a deliverable will do wonders for your peace of mind.

Azure Pipelines: Release to Azure App Service Read More »

Azure Repos and Azure Pipelines

Last week’s post looked at using GitHub with Azure Pipelines. This week I’m going to take the same project and walk through adding it to Azure Repos and setting a build up using Azure Pipelines. I will be using the code from this GitHub repo minus the azure-pipelines.yml file that was added in last weeks post.

Creating a Project

I’m not going to walk you through the sign-up process, but if you don’t have an account you can sign up for Azure DevOps here. Click the Create project button in the upper right corner.

On the dialog that shows enter a project name. I’m using the same name that was on the GitHub repo that the code came from. Click Create to continue.

Adding to the Repo

After the project finishes the creation process use the menu on the left and select Repos.

Since the project doesn’t currently have any files the Repos page lists a number of options for getting files added. I’m going to use the Clone in VS Code option and then copy the files from my GitHub repo. If I weren’t trying to avoid including the pipeline yaml file an easier option would be to use the Import function and clone the repo directly.

I’m not going to go through the details of using one of the above methods to get the sample code into Azure Repos. It is a git based repo and the options for getting code uploaded are outlined on the page above.

Set up a build

Now that we have code in a repo you should see the view change to something close to the following screenshot. Hit the Set up build to start the process of creating a build pipeline for the new repo. This should be pretty close to the last half of last week’s post, but I want to include it here so this post can stand alone.

On the next page select Azure Repos as the source of code.

Next, select the repo that needs to be built for the new pipeline.

Template selection is next. Based on your code a template will be suggested, but don’t just take the default. For whatever reason, it suggested a .NET Desktop template for my sample which is actually ASP.NET Core based. Select your template to move on to the next step.

The next screen will show you the YAML that will be used to build your code. My repo contains two projects so I had to tweak the YAML to tell it which project to build, but otherwise, the default would have worked. After you have made any changes that your project needs click Save and run.

The last step before the actual build is to commit the build YAML file to your Azure Repo. Make any changes you need on the dialog and then click Save and run to start the first build of your project.

The next page will show you the status of the build in real time. When the build is complete you should see something like the following with the results.

Wrapping Up

As expected using Azure Repos with Azure Pipelines works great. If you haven’t yet give Azure DevOps a try. Microsoft has a vast offering with this set of products that are consistently getting better and better.

Azure Repos and Azure Pipelines Read More »

GitHub and Azure Pipelines

A few weeks ago Microsoft announced that Visual Studio Team Services was being replaced/rebranded by a collection of services under the brand Azure DevOps. One of the services that make up Azure DevOps is Azure Pipelines which provides a platform for continuous integration and continuous delivery for a huge number of languages on Windows, Linux, and Mac.

As part of this change, Azure Pipelines is now available on the GitHub marketplace. In this post, I am going to pick one of my existing repos and see if I can get it building from GitHub using Azure Pipelines. I’m sure Microsoft or GitHub has documentation, but I’m attempting this without outside sources.

GitHub Marketplace

Make sure you have a GitHub account with a repo you want to build. For this post, I’m going to be using my ASP.NET Core Entity Framework repo. Now that you have the basic prep out of the way head over to the GitHub Marketplace and search for Azure Pipelines or click here.

Scroll to the bottom of the page to the Pricing and setup section. There is a paid option that is the default option. Click the Free option and then click Install it for free.

On the next page, you will get a summary of your order. Click the Complete order and begin installation button.

On the next page, you can select which repos to apply the installation to. For this post, I’m going to select a single repo. After making your choice on repos click the Install button.

Azure DevOps

After clicking install you will be thrown into the account authorization/creation process with Microsoft. After getting authorized you will get to the first set up in the setup process with Azure. You will need to select an organization and a project to continue. If you don’t have these setup yet there are options to create them.

After the process complete you will be land on the New pipeline creation process where you need to select the repo to use. Clicking the repo you want to use will move you to the next step.

The next step is a template selection. My sample is an ASP.NET Core application so I selected the ASP.NET Core template. Selecting a template will move you to the next step.

The next page will show you a yaml file based on the template you selected. Make any changes your project requires (my repo had two projects so I had to change the build to point to which project I wanted to build).

Next, you will be prompted to commit the yaml file to source control. Select your options and click Save and run.

After your configuration gets saved a build will be queued. If all goes well you will see your app being built. If everything works you will see something like this build results page.

Wrapping Up

GitHub and Microsoft have done a great job on this integration. I was surprised at how smooth the setup was. It was also neat to see a project that I created on Windows being built on Linux.

If you have a public repo on GitHub and need a way to build give Azure Pipelines a try.

GitHub and Azure Pipelines Read More »

Entity Framework Core: Logging

The other day I was having to dig into some performance issues around a process that is using Entity Framework Core. As part of the process, I need to see the queries generated by Entity Framework Core to make sure they were not the source of the issue (they were not). I’m going to be making these changes using the Contacts project from my ASP.NET Core Basics repo if you want to see where I started from.

First, we will cover adding a logging provider. Next, I’m going to show you what I came up with and then I will show you the method suggested by the Microsoft docs (which I didn’t find until later).

Logging Providers

First, we need to do pick how we want the information logged. A good starting place is using one of the Microsoft provides which can be found on NuGet. Right-click on the project you want to add the logging to and click Manage NuGet Packages.

In the search box enter Microsoft.Extensions.Logging for a list of good list of logging options. For this post, we will be using the console logger provided by Microsoft. Select Microsoft.Extensions.Logging.Console and then click the Install button on the upper right side of the screen.

First Go

For my first try at this, all the change are in the ConfigureServices function of the Startup class. The following is the code I added at the end of the function that will log all the queries to the console window (if you are using IIS Express then use the Debug logger instead).

var scopeFactory = services.BuildServiceProvider()
                           .GetRequiredService<IServiceScopeFactory>();

using (var scope = scopeFactory.CreateScope())
{
    using (var context = scope.ServiceProvider
                              .GetRequiredService<ContactsContext>())
    {
        var loggerFactory = context.GetInfrastructure()
                                   .GetService<ILoggerFactory>();
        loggerFactory.AddProvider(new ConsoleLoggerProvider((_, __) => true, true));
    }
}

This code is creating a scope to get an instance of the ContactsContext and then using the context to get it’s associated logger factory and adding a console logger to it. This isn’t the cleanest in the world but gets the job done especially if this is just for a quick debug session and not something that will stay.

Microsoft Way

While the above works I ended up finding a logging page in the Entity Framework Core docs. After undoing the changes made above open the ContactsContext (or whatever your DBContext is) and add a class level static variable for a logger factory. This class level variable will be used to prevent memory and performance issues that would be caused by creating a new instance of the logging classes every time a context is created.

public static readonly LoggerFactory LoggerFactory = 
       new LoggerFactory(new[] {new ConsoleLoggerProvider((_, __) => true, true)});

Next, add/update an override to the OnConfiguring to use the logger factory defined above. The following is the full function in my case.

protected override void OnConfiguring(DbContextOptionsBuilder optionsBuilder)
{
    base.OnConfiguring(optionsBuilder);

    optionsBuilder.UseLoggerFactory(LoggerFactory);
}

The Output

Either way, the following is an example of the output you will get with logging on.

The query is highlighted in the red box above. As you can see there is a lot of output, but there are options for filtering which are detailed in the docs.

Wrapping Up

Entity Framework Core does a great job, but the above gives you an option to check in on what it is doing. If you are using SQL Server you could also get the queries using SQL Server Profiler.

Entity Framework Core: Logging Read More »

Controlling .NET Core’s SDK Version

Recently I was building a sample application and noticed a build warning that I was using a preview version of the .NET Core SDK.

You can see from the screen show that the build shows zero warning and zero errors, but if you read the full build text you will notice the following message.

NETSDK1057: You are working with a preview version of the .NET Core SDK. You can define the SDK version via a global.json file in the current project. More at https://go.microsoft.com/fwlink/?linkid=869452 [C:\sdkTest\sdkTest.csproj]

That will teach me not to just look at the ending results of a build. I didn’t explicitly install the preview version I have been accidentally using, but I’m pretty sure it got installed with the Visual Studio Preview I have installed.

Setting the SDK version for a project

Following the link in the message from above will take you to the docs page for global.json which will allow you to specify what version of the SDK you want to use. Using the following command will give you a list of the SDK versions you have installed.

dotnet --list-sdks

On my machine, I have the following 5 SDKs installed.

2.1.201 [C:\Program Files\dotnet\sdk]
2.1.202 [C:\Program Files\dotnet\sdk]
2.1.302 [C:\Program Files\dotnet\sdk]
2.1.400-preview-009063 [C:\Program Files\dotnet\sdk]
2.1.400-preview-009171 [C:\Program Files\dotnet\sdk]

For this project, I really want to use version 2.1.302 which is the newest non-preview version. Using the following .NET CLI command will create a global.json file targeting the version we want.

dotnet new globaljson --sdk-version 2.1.302

If you open the new global.json file you will see the following which has the SDK version set to the value we specified. If you use the above command without specifying a version it will use the latest version installed on your machine, including preview versions.

{
  "sdk": {
    "version": "2.1.302"
  }
}

Now if you run the build command you will see that the warning is gone.

global.json Location

So far we have been using global.json from within a project directory, but that isn’t the only option for its location. For example, if I moved the global.json from the C:\sdkTest directory to C:\ then any .NET Core base application on the C drive would use the version specified in that top-level global.json unless they specified their own version (or had another global.json up the projects folder structure before it made it to the root of the C drive).

For the full details see the matching rules in the official docs.

Wrapping Up

I’m not sure if anyone one else is in this boat, but until I saw the build warning from above the need to control the SDK version never crossed my mind. Thankfully the teams have Microsoft have made the ability to lock to a version of the SDK simple. I could see this being especially useful if you are required to stick with a long-term support version of the SDK, which would currently require you to be on version 1.0 or 1.1.

Controlling .NET Core’s SDK Version Read More »

Entity Framework Core 2.1: Data Seeding

I am taking some time to explore some of the new features that came out with the .NET Core 2.1 release and this post is going to be a continuation of that process. The following are links to the other posts in this same vein.

Host ASP.NET Core Application as a Windows Service
ASP.NET Core 2.1: ActionResult<T>

Today we are going to be looking at a new feature added to Entity Framework to allow for data seeding. I am using the official docs for this feature as a reference.

Sample Application

We are going to use the .NET CLI to create a new application using the MVC template with individual authorization since it is one of the templates that come with Entity Framework already set up. If you have an existing project and need to add Entity Framework you can check out this post. The following is the command I used to create my project.

dotnet new mvc --auth Individual

Model

Before we get to data seeding we need to create an entity to seed. In this example, we will be creating a contact entity (surprise!). In the Models directory, I created a Contacts.cs file with the following contents.

public class Contact
{
    public int Id { get; set; }
    public string Name { get; set; }
    public string Address { get; set; }
    public string City { get; set; }
    public string State { get; set; }
    public string Zip { get; set; }
}

Next, in the Data directory, we are going to open the ApplicationDbContext class and add a DbSet for our new Contact entity. Added the following property to the class.

public DbSet<Contact> Contacts { get; set; }

Now that we have our DbContext setup lets add a migration for this new Contact entity using the following .NET CLI command.

dotnet ef migrations add Contacts -o Data/Migrations

Finally, run the following command to create/update the database for this application.

dotnet ef database update

Data Seeding

Now that our project is setup we can move on to actual data seeding. In Entity Framework Core data seeding is done in the OnModelCreating function of your DbContext class. In this example that is the ApplicationDbContext class. The following example shows using the new HasData method to add seed data for the Contact entity.

protected override void OnModelCreating(ModelBuilder builder)
{
    base.OnModelCreating(builder);

    builder.Entity<Contact>().HasData(
        new Contact 
        {
            Id = 1,
            Name = "Eric",
            Address = "100 Main St",
            City = "Hometown",
            State = "TN",
            Zip = "153789"
        }
    );
}

Data seeding is handled via migrations in Entity Framework Core, which is a big difference from previous versions. In order to get our seed data to show up, we will need to create a migration which can be done using the following command.

dotnet ef migrations add ContactSeedData -o Data/Migrations

Then apply the migration to your database using the following command.

dotnet ef database update

Looking at the code that the migration created you can see that it is just inserting the data.

public partial class ContactSeedData : Migration
{
    protected override void Up(MigrationBuilder migrationBuilder)
    {
        migrationBuilder.InsertData(
            table: "Contacts",
            columns: new[] { "Id", "Address", "City", "Name", "State", "Zip" },
            values: new object[] { 1, "100 Main St", "Hometown", "Eric", "TN",
                                   "153789" });
    }

    protected override void Down(MigrationBuilder migrationBuilder)
    {
        migrationBuilder.DeleteData(
            table: "Contacts",
            keyColumn: "Id",
            keyValue: 1);
    }
}

The above works great on new databases or new tables but can cause issues if you are trying to add seed data to an existing database. Check out Rehan’s post on Migrating to Entity Framework Core Seed Data for an option on how to deal with this.

Wrapping up

I am very happy to see that we have a way to prepopulate data in Entity Framework Core it will make some scenarios, such as mostly static data, much easier to deal with. One downside I see to the migration approach is the inability to have some built-in test data since the migrations will always be applied to your databases.

Entity Framework Core 2.1: Data Seeding Read More »