Joydip Kanjilal
Contributor

How to perform lazy initialization in C#

how-to
Sep 25, 20175 mins
C#Small and Medium BusinessSoftware Development

Use lazy initialization to save resources and improve performance by deferring the initialization of expensive objects until they're requested

lazy worker
Credit: Thinkstock

Lazy initialization is a technique that defers the creation of an object until the first time it is needed. In other words, initialization of the object happens only on demand. Note that the terms lazy initialization and lazy instantiation mean the same thing—they can be used interchangeably. By taking advantage of lazy initialization, you can improve the application’s performance by avoiding unnecessary computation and memory consumption. In this article we’ll look at how we can perform lazy initialization in C#.

Let’s understand lazy loading with a simple example. Consider two classes, Customer and Order. The Customer class contains an Orders property that in turn references a collection of instances of the Order class. The Orders collection may contain a large amount of data and may even need a database connection to connect to the database and retrieve records. In such a case, there is no point in loading data in the Orders property until we need the data. Lazy initialization allows us to load the Orders collection only when the data is asked for.

Using the Lazy class in C#

Although you can write your own custom code to implement lazy initialization, Microsoft recommends using the Lazy<T> class instead. The Lazy<T> class in the System namespace in C# was introduced as part of .Net Framework 4.0 to provide a thread-safe way to implement lazy initialization. You can take advantage of this class to defer the initialization of resource-intensive objects in your application.

When you use the Lazy<T> class, you need to specify the type of object you intend to create lazily in the type argument. Note that lazy initialization occurs when you access the Lazy<T>.Value property. Here is an example of how the Lazy<T> class can be used:

Lazy<IEnumerable<Order>> orders = new Lazy<IEnumerable<Order>>();
IEnumerable<Order> result = lazyOrders.Value;

Now, consider two classes, Author and Blog. An author can write many blog posts, so you have a one-to-many relationship between the Author and Blog classes as shown in the code snippet below.

public class Author
    {
        public int Id { get; set; }
        public string FirstName { get; set; }
        public string LastName { get; set; }
        public string Address { get; set; }
        public List<Blog> Blogs { get; set; }
    }
    public class Blog
    {
        public int Id { get; set; }
        public string Title { get; set; }
        public DateTime PublicationDate { get; set; }
    }

Note that the one-to-many relationship between the Author and Blog classes has been represented using a List property (of type Blog) in the Author class. Using this property, the Author class can hold a collection of one or more instances of the Blog class.

Now suppose we need to display only the details of an author (first name, last name, and address) in the user interface. There is no point in loading the blog details for the author in this case; we want to load the blog details lazily. Here is the updated Author class that addresses this need. Note the usage of the Lazy<T> class.

public class Author
    {
        public int Id { get; set; }
        public string FirstName { get; set; }
        public string LastName { get; set; }
        public string Address { get; set; }
        public Lazy<IList<Blog>> Blogs => new Lazy<IList<Blog>>(() => GetBlogDetailsForAuthor(this.Id));
        private IList<Blog> GetBlogDetailsForAuthor(int Id)
        {
       //Write code here to retrieve all blog details for an author.
        }
    }

Using the generic Lazy class in C#

Let’s now look at how we can take advantage of a generic Lazy class to implement the Singleton design pattern. (You can read my article on the Singleton design pattern here.) The following version of the StateManager class is thread-safe. At the same time, it demonstrates lazy initialization. Note that the explicit static constructor has been used to ensure that the C# compiler doesn’t mark the type as beforefieldinit.

public sealed class StateManager
    {
        private StateManager()
        {
        }

        public static StateManager Instance
        {
            get
            {
                return Nested.obj;
            }
        }
        private class Nested
        {
            static Nested()
            {
            }
            internal static readonly StateManager obj = new StateManager();
        }
    }

Here is a lazy implementation of the StateManager class that leverages the Lazy<T> class. You can see how the Lazy<T> class makes it really simple to implement laziness. 

public class StateManager
    {
        private static readonly Lazy<StateManager> obj = new Lazy<StateManager>(() => new StateManager());
        private StateManager() { }
        public static StateManager Instance
        {
            get
            {
                return obj.Value;
            }
        }
    }

Take a look at the Instance property in the StateManager class above. Note that the Value property you see in the above code example is read-only. For that reason there is no set accessor.

Lazy initialization is an excellent performance optimization technique, allowing you to defer the initialization of objects that consume significant CPU and memory resources until you absolutely need them. Take advantage of lazy initialization to improve the performance of your apps. 

Joydip Kanjilal
Contributor

Joydip Kanjilal is a Microsoft Most Valuable Professional (MVP) in ASP.NET, as well as a speaker and the author of several books and articles. He received the prestigious MVP award for 2007, 2008, 2009, 2010, 2011, and 2012.

He has more than 20 years of experience in IT, with more than 16 years in Microsoft .Net and related technologies. He has been selected as MSDN Featured Developer of the Fortnight (MSDN) and as Community Credit Winner several times.

He is the author of eight books and more than 500 articles. Many of his articles have been featured at Microsoft’s Official Site on ASP.Net.

He was a speaker at the Spark IT 2010 event and at the Dr. Dobb’s Conference 2014 in Bangalore. He has also worked as a judge for the Jolt Awards at Dr. Dobb's Journal. He is a regular speaker at the SSWUG Virtual Conference, which is held twice each year.

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