In the previous article the Source Generator itself needed a 3rd-party library Newtonsoft.Json in order to generate new source code. The JSON-strings were hard-coded inside the Source Generator for simplicity reasons. In this article we will see how to process not just .NET code, but also other files, like JSON or XML.
In Entity Framework Core 3 (EF 3) the SQL statement generation (re)introduced the Cartesian Explosion problem. A lot has happened since then, so it is time to revisit the issue with Entity Framework Core 7 (EF 7).
Blazor WebAssembly is a powerful framework for building web applications that run on the client-side. With Project Fugu APIs, you can extend the capabilities of these apps to access new device features and provide an enhanced user experience. In this article, learn about the benefits of using Project Fugu APIs, the wrapper packages that are available for Blazor WebAssembly, and how to use them in your application.
Whether you’re a seasoned Blazor developer or just getting started, this article will help you add superpowers to your Blazor WebAssembly app.
We previously talked about how to change the source code generation based on current project dependencies. In this article, the Source Generator itself needs a 3rd-party library, in our case Newtonsoft.Json. This library is a development dependency and will not be rolled out to production.
The N+1 queries problem has been our constant companion since day one of Entity Framework (Core). Entity Framework Core 2 (EF 2) introduced a new feature that caused the “N+1 queries problem” more often and was more difficult to detect, so it was removed in the following version. After a little back and forth, let’s see how Entity Framework Core 7 (EF 7) handles this issue and why it will likely remain in the future.
The requirement to store additional fields, unknown at development time, in a relational database is not new. Nonetheless, none of the projects I know of are willing to change the database structure at runtime. What if there is a project which needs dynamically created fields and doesn’t want or cannot use entity–attribute–value model or switch to No-SQL databases?
The Roslyn Source Generator, implemented in the previous articles of the series, emits some C# code without looking at the dependencies of the current .NET (Core) project. In this article our DemoSourceGenerator should implement a JsonConverter, but only if the corresponding library (e.g. Newtonsoft.Json) is referenced by the project.
In Part 1 of this series we’ve implemented a simple Incremental Source Generator. Although we looked at all mandatory phases of an IIncrementalGenerator, still, the consideration was quite superficial. One of the biggest advantages of the new API, which makes the Source Generator an incremental one, is the built-in memoization, i.e. caching. To take full advantage from it, we have to make some preparations so Roslyn knows what to cache and how to compare the results of each phase.
The default implementation of Entity Framework Core prefers to play it safe (for good reasons) when working with byte arrays. This ‘safety’ is – in some use cases – unnecessary and costs us a lot of memory and CPU. In this article, we will see that doing less is sufficient for the given property thanks to one of the most overlooked features of Entity Framework.
This article is the 3rd part of a series about Roslyn Source Generators & co. In the 1st article, of this series, we built an Incremental Source Generator to generate a new property Items of a Smart Enum. In the 2nd article, we added a Roslyn Analyzer and a Code Fix to prevent common mistake(s) and to help out the developers when using this Source Generator. All the code we have written so far was tested manually by executing the code and looking at the outcome. It is time to implement some automated tests to ensure the correct behavior.
