Behind the scenes the implementation uses SemaphoreSlim to do all the heavy lifting which already has a support for async/await.
You would normally use AsyncLock within a “using” statement. To keep the implementation as simple as possible I do not use any cancellation tokens for any of the operations.
Usage:
private readonly AsyncLock _lock = new AsyncLock();
public async Task DoSomethingAsync()
{
using (await _lock.EnterAsync())
{
await Task.Delay(TimeSpan.FromSeconds(1));
}
}
Simples
This blog article shows the resources for C# 9.0. Whether it is available in .NET Framework, officially I understand it is, no. People do claim it works. It is time for you to find out.
CQRS stands for Command Query Responsibility Segregation. As the name suggests, we split the application in two parts: Command-Side and Query-Side. Now one will ask what this command and query means? Okay, so –
Commands are the ones that change the state of the object or entity, also called modifiers or mutators.
Queries are those that returns the state of the entity, and do not change anything. The another term for that will be accessors.
Why is it required?
In traditional data management systems, both commands and queries are executed against the same set of entities, having a single reprsentation or view. The CRUD operations are applied to a single datastore, the same entity or object is accessed to handle both read and write operations.
Issues with having single view for both read and write side –
Introduces the risks of data contention.
Managing permissions and security become complex as same objects are exposed to both read and write operations.
How CQRS solves this problem?
The CQRS pattern holds the idea that the method should either change the state of the entity, or returns the result, but not both. Segregating models for read and write side reduces the complexity that comes with having single view for both of them.
Benefits of CQRS –
Separate command and query models, results in simplified design and implementation of the system and overall reduction of complexity.
One can easily optimise the read side of the system separately from the write side, allows scaling each differently as per the load on the side. For example – Read datastores often encounters greater load, and hence can be scaled without affecting the write datastores.
You can provide multiple views of your data for querying purpose depending on the use cases.
How CQRS works?
CQRS is mainly used in conjuction with Event Sourcing. The write side model of the CQRS-based system handles the events persistence, acting as a source of information for the read side. The read model of the system provides materialized views of the data, typically as highly denormalized views.
We know that .NET 5.0 makes it possible to develop WPF and Windows Forms applications. However, at the time of writing, Visual Studio templates haven’t been updated to new target framework: desktop applications are still created using .NET Core 3.1. So, for example, the project file for a WPF application is the following:
However, we can easily update it to use .NET 5.0. We just need to change Sdk attribute (line 1) and the TargetFramework tag (line 5):
In particular, we don’t have anymore an Sdk that relates to desktop applications. Instead, we have a target framework moniker (TFM) that is OS-specific, net5.0-windows. This is because the standard net5.0 moniker only includes technologies that work cross-platform. Specifying an OS-specific TFM makes APIs that are specific to an operating system available to ours applications (in our case, desktop applications on Windows). Of course, OS-specific TFMs also inherit every API available…
Elliot Balynn's Blog 