In the world of , performance and efficiency are key. As developers, we constantly strive to write code that not only solves the problem at hand but also does so in the most efficient way possible. software development One such efficiency technique in C# is the use of the class for lazy initialization. This allows us to defer potentially slow initialization to a point in the execution just in time for when we need to consume a value. But, what if we could take this a step further and introduce asynchrony into the mix? Is there something that gives us async lazy functionality? Lazy<T> In this blog post, we’ll explore the concept of async lazy initialization in , using to achieve this. So, whether you’re a seasoned C# programmer or a curious beginner, buckle up for an exciting journey into the world of async lazy initialization! As always, we’ll touch on the pros and cons of what we’re looking at today. C# Lazy<Task<T>> Content Overview Understanding Lazy Initialization The Need for Async Lazy Initialization Introducing Lazy<Task<T>> Consuming Lazy<Task<T>> The Power of Async Lazy Initialization Async Lazy Considerations Stephen Toub’s AsyncLazy<T> Conclusion Understanding Lazy Initialization Before we dive into the async world, let’s first understand what lazy initialization is. Lazy initialization is a programming technique where the initialization of an object or value is deferred until it is first accessed. This can be particularly useful when the creation of an object is costly (in terms of time or resources), and the object is not used immediately when the application starts. Without lazy initialization, startup times can grow needlessly out of control. If you’ve been checking out my content on plugin architectures or working with Autofac for dependency injection, you may have found your initialization code is growing in scope. In , this is achieved using the class. Here’s a simple example: C# Lazy<T> Lazy<MyClass> myObject = new Lazy<MyClass>(() => new()); In the above code snippet, is a instance. The actual object will not be created until is accessed for the first time. This can significantly improve the startup performance of your application if is expensive to create and you access this property only right before you need it the first time. What’s more, the type handles thread safety around the initialization! myObject Lazy<MyClass> MyClass myObject.Value MyClass Lazy<T> You can check out this video for more examples: https://youtu.be/qtju5A4JcDs?embedable=true The Need for Async Lazy Initialization While is a powerful tool, it doesn’t appear to support asynchronous initialization. This can be a problem when the initialization of the object involves I/O operations or other long-running tasks that would benefit from being run asynchronously. Blocking the main thread for such operations can lead to a poor user experience, as it can make your application unresponsive. Additionally, as async/await patterns continue to become more prevalent in .NET code bases, the desire to have async lazy initialization will continue to grow. Lazy<T> This is where comes into play. By using , we can achieve asynchronous lazy initialization. The represents an asynchronous operation that returns a result. When combined with , it allows the expensive operation to be run asynchronously and its result to be consumed when needed. Lazy<Task<T>> Lazy<Task<T>> Task<T> Lazy<T> So does support async lazy initialization out of the box? Technically, yes, but many of us never consider that we can just replace the type parameter here with a ! By using a task as the type for the lazy wrapper, we essentially get async lazy right out of the box! Many C# developers are already aware of this, but if you were like me, the answer was hiding right under our noses. Lazy<T> Task<T> Introducing Lazy<Task<T>> Let’s see how we can implement asynchronous lazy initialization using . Here’s a simple example: Lazy<Task<T>> Lazy<Task<MyClass>> myObject = new Lazy<Task<MyClass>>(() => Task.Run(() => new MyClass())); In the above code snippet, is a instance. The is an asynchronous operation that creates a new object. This operation will not be run until is accessed for the first time. Furthermore, because it’s wrapped in a , it will be run asynchronously. myObject Lazy<Task<MyClass>> Task.Run(() => new MyClass()) MyClass myObject.Value Task And you can do more than just directly instantiate an object! Let’s look at this example: public async Task<MyClass> CreateMyClassAsync()
{
  // simulate being busy!
  await Task.Delay(2000);
  return new MyClass();
}

Lazy<Task<MyClass>> myObject = new Lazy<Task<MyClass>>(CreateMyClassAsync); The code above references an async/await method that aims to demonstrate you can technically have any async code path passed in. The first examples that just show an object’s constructor being called are a little bit contrived because that should ideally be nearly instantaneous. So with this example, hopefully you can start to see the potential with longer running operations. Consuming Lazy<Task<T>> To consume the result of , we need to await the : Lazy<Task<T>> Task<T> MyClass result = await myObject.Value; In the above code snippet, returns a . By awaiting this task, we can get the object once it’s ready. If the task has not yet been completed, this will asynchronously wait for the task to complete before continuing. This ensures that your application remains responsive, even if the initialization of takes a long time. This is assuming that the rest of your async/await pattern in your code is actually being done properly, of course! myObject.Value Task<MyClass> MyClass MyClass You can watch this video for more details on this: https://youtu.be/yObEEa8vftU?embedable=true The Power of Async Lazy Initialization Async lazy initialization can be a powerful tool in your C# development toolkit if you weren’t already using this way. It combines the benefits of lazy initialization and asynchronous programming, allowing you to create expensive objects on demand, without blocking the main thread. Again, assuming you’re using async/await and tasks properly! Lazy<T> Here are some of the benefits of using async lazy initialization: By deferring the creation of expensive objects until they’re needed, you can improve the startup performance of your application. Improved Performance: By running the initialization code asynchronously, you can ensure that your application remains responsive, even if the initialization takes a long time. Better Responsiveness: The pattern is simple and easy to use. It leverages the existing and classes in .NET, so there’s no need to learn a new API. Simplicity: Lazy<Task<T>> Lazy<T> Task<T> : You can control where you want to pay the penalty for initialization costs. If it makes sense to declare variables at initialization time but not pay the penalty for them at that point, you now have a tool for that. Control Async Lazy Considerations However, like any tool, it should be used with purpose! Overuse of lazy initialization (whether synchronous or asynchronous) can lead to its own problems, such as increased memory usage and the potential for deadlocks if not handled correctly. Remember, if the problem you’re trying to solve is some operation taking a long time, doesn’t actually inherently fix this, it just allows you to move it. If you can move it to an advantageous spot, great! But just moving it doesn’t necessarily address your issue. Lazy<T> When we mix in the async part of this, there’s another layer of complexity added, and complexity doesn’t mix very well with lazy initialization! Consider that if you need to be using in the first place, you probably have some async/await code to call into or some other task that needs to run. If you need to be interfacing with other systems (i.e. reading files from disk, pulling data from databases, querying for results from a web API, etc…) then there is room for errors to occur. The more complexity and the more things you need to interface with when running this async code, the more room there is for errors. Lazy<Task<T>> You’re going to need to consider what it looks like if your is running code that can fail. What does it even look like to have resiliency in something that is expected to run once to cache a result for you? I’m not here to prescribe a one-size-fits-all solution, but I do think you need to give this serious consideration. In , there’s an example provided that can allow some fault tolerance, but the author also states that this can look extremely different from scenario to scenario. Lazy<Task<T>> this article Stephen Toub’s AsyncLazy<T> , a partner software engineer from , class that combines the best of both worlds: the laziness of and the asynchrony of . Stephen Toub Microsoft proposed an AsyncLazy<T> Lazy<T> Task<T> Here’s how it looks (code slightly modified from the original because the blog post is several years old): public class AsyncLazy<T> : Lazy<Task<T>>
{
    public AsyncLazy(Func<T> valueFactory) :
        base(() => Task.Run(valueFactory))
    { }

    public AsyncLazy(Func<Task<T>> taskFactory) :
        base(() => Task.Run(() => taskFactory()).Unwrap())
    { }
} In this code, is a subclass of . It provides two constructors: one that takes a and another that takes a . Why do we still use on the second constructor? Well, see this point directly from Stephen: AsyncLazy<T> Lazy<Task<T>> Func<T> Func<Task<T>> Task.Run [If we didn’t wrap it in a Task.Run] it means that when a user accesses the Value property of this instance, the taskFactory delegate will be invoked synchronously.  That could be perfectly reasonable if the taskFactory delegate does very little work before returning the task instance.  If, however, the taskFactory delegate does any non-negligable work, a call to Value would block until the call to taskFactory completes.  To cover that case, the second approach is to run the taskFactory using [Task.Run], i.e. to run the delegate itself asynchronously, just as with the first constructor, even though this delegate already returns a Task<T>.  Of course, now [Task.Run] will be returning a Task<Task<T>>, so we use the Unwrap method in .NET 4 to convert the Task<Task<T>> into a Task<T>… Stephen Toub Here’s how you can use it: AsyncLazy<MyClass> myObject = new AsyncLazy<MyClass>(() => new MyClass());

// later...

MyClass result = await myObject.Value; In the above code snippet, is an instance. The call will not be run until is accessed for the first time, and it will be run asynchronously. myObject AsyncLazy<MyClass> new MyClass() myObject.Value Conclusion Async lazy initialization is a powerful technique that can help you write more efficient and responsive applications in C#. By combining the and classes, you can defer the creation of expensive objects until they’re needed, and do so without blocking the main thread. Lazy<T> Task<T> However, like any tool, it should be used judiciously. Overuse of lazy initialization (whether synchronous or asynchronous) can lead to its own problems, such as increased memory usage and the potential for deadlocks if not handled correctly. Additionally, as complexity adds up, considerations around fault tolerance and how you manage errors become a challenge. Also published here. For more insights into C# and software development in general, ! You can also check out my . Stay lazy, and happy coding! subscribe to my newsletter YouTube channel

This story contains new, firsthand information uncovered by the writer.

How Building Projects Empowers Beginner Programmers

Are Implicit Operators a Path to Clean Code or a Buggy Nightmare?

Newsletter

Exploring Async Laziness in C#: Balancing Power with Responsibility

About Author

Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

Related Stories

3 Beginner Tips You Need to Know for async await in C#

3 Excel Libraries Every .NET Developer Must Know

The Noonification: Will You Be My GPT-Valentine? (2/13/2023)

5 Performance Tips For .Net Developers

5 Ways to Add Security to Excel & PDF with .NET Document APIs

A Guide to Kubernetes Autoscaling Tools with Linode Kubernetes Engine

3 Beginner Tips You Need to Know for async await in C#

3 Excel Libraries Every .NET Developer Must Know

The Noonification: Will You Be My GPT-Valentine? (2/13/2023)

5 Performance Tips For .Net Developers

5 Ways to Add Security to Excel & PDF with .NET Document APIs

A Guide to Kubernetes Autoscaling Tools with Linode Kubernetes Engine

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps