Nested Generic Types
Vaibhav • September 11, 2025
In the previous article, we explored how generic type inference allows the compiler to deduce type parameters automatically, making generic code cleaner and more expressive. Now we’re ready to look at a more advanced but highly practical concept: nested generic types. These are generic types that contain other generic types-either as fields, properties, method parameters, or return types. They’re common in real-world applications, especially when working with collections, dictionaries, and layered abstractions.
What Are Nested Generic Types?
A nested generic type is simply a generic type that uses another generic type as part of its definition. This
nesting can happen in many ways-inside fields, method parameters, return types, or even as type parameters
themselves. For example, a List<Dictionary<string, int>>
is a list
of dictionaries, where each dictionary maps strings to integers.
List<Dictionary<string, int>> data = new List<Dictionary<string, int>>();
This type is nested because Dictionary<string, int>
is itself a generic type, and it’s being
used as the element type of another generic type-List<T>
.
Why Use Nested Generic Types?
Nested generic types allow you to model complex data structures in a type-safe way. They’re especially useful when working with hierarchical or relational data, such as:
- A list of key-value mappings
- A dictionary of lists
- A queue of tuples
- A stack of generic containers
These structures are common in APIs, configuration systems, and data processing pipelines.
Example: Dictionary of Lists
Suppose you’re building a tag system where each tag maps to a list of items. You can use a Dictionary<string, List<string>>
to represent this:
Dictionary<string, List<string>> tagMap = new Dictionary<string, List<string>>();
tagMap["fruits"] = new List<string> { "apple", "banana" };
tagMap["colors"] = new List<string> { "red", "blue" };
foreach (var tag in tagMap)
{
Console.WriteLine($"Tag: {tag.Key}");
foreach (var item in tag.Value)
{
Console.WriteLine($" - {item}");
}
}
This example shows how nested generics help you organize data hierarchically. Each dictionary entry maps a tag to a list of items, and you can iterate through both levels easily.
Example: List of Tuples
You can also nest generic types using tuples. For example, a List<Tuple<string, int>>
can store name-score pairs:
List<Tuple<string, int>> scores = new List<Tuple<string, int>>
{
Tuple.Create("Alice", 90),
Tuple.Create("Bob", 85)
};
foreach (var entry in scores)
{
Console.WriteLine($"{entry.Item1}: {entry.Item2}");
}
This structure is useful for representing paired data, such as key-value pairs, coordinates, or rankings.
Example: Stack of Queues
You can nest generic types to model more complex workflows. For example, a Stack<Queue<string>>
represents a stack of queues:
Stack<Queue<string>> taskBatches = new Stack<Queue<string>>();
Queue<string> batch1 = new Queue<string>();
batch1.Enqueue("Task A1");
batch1.Enqueue("Task A2");
Queue<string> batch2 = new Queue<string>();
batch2.Enqueue("Task B1");
batch2.Enqueue("Task B2");
taskBatches.Push(batch1);
taskBatches.Push(batch2);
while (taskBatches.Count > 0)
{
var currentBatch = taskBatches.Pop();
while (currentBatch.Count > 0)
{
Console.WriteLine(currentBatch.Dequeue());
}
}
This example shows how nested generics can help you manage layered tasks or workflows, such as batch processing or undo-redo stacks.
Nested Generic Classes
You can also define generic classes that contain other generic types. For example, a container class that wraps a dictionary:
public class DataStore<TKey, TValue>
{
private Dictionary<TKey, List<TValue>> store = new Dictionary<TKey, List<TValue>>();
public void Add(TKey key, TValue value)
{
if (!store.ContainsKey(key))
store[key] = new List<TValue>();
store[key].Add(value);
}
public List<TValue> Get(TKey key)
{
return store.ContainsKey(key) ? store[key] : new List<TValue>();
}
}
This class uses nested generics to store multiple values per key. It’s type-safe, reusable, and works with any combination of types.
Nested Generic Methods
You can also nest generics inside methods. For example, a method that returns a dictionary of lists:
public static Dictionary<TKey, List<TValue>> GroupItems<TKey, TValue>(List<Tuple<TKey, TValue>> items)
{
var result = new Dictionary<TKey, List<TValue>>();
foreach (var item in items)
{
if (!result.ContainsKey(item.Item1))
result[item.Item1] = new List<TValue>();
result[item.Item1].Add(item.Item2);
}
return result;
}
This method takes a list of tuples and groups them into a dictionary of lists. It’s a practical example of nested generics in action.
Working with Deeply Nested Types
Sometimes you’ll encounter deeply nested types, such as List<Dictionary<string, List<Tuple<int, bool>>>>
. These
types can be hard to read and maintain. In such cases:
- Use type aliases with using
to simplify the syntax.
- Break down the structure into smaller classes or methods.
- Use meaningful variable names to clarify intent.
using ScoreMap = Dictionary<string, List<Tuple<int, bool>>>;
List<ScoreMap> complexData = new List<ScoreMap>();
This makes your code more readable and maintainable, especially in large projects.
Common Pitfalls with Nested Generics
Nested generics are powerful, but they can be misused:
- Avoid excessive nesting-it makes code hard to read and debug.
- Don’t mix unrelated types in the same structure-keep your data model clean.
- Be cautious with null values-nested collections may need initialization before use.
if (!map.ContainsKey(key))
map[key] = new List<T>(); // Always initialize before adding
Use nested generics to model layered or hierarchical data. Keep nesting shallow when possible, and use helper methods or type aliases to simplify complex structures.
Summary
Nested generic types allow you to build complex, type-safe data structures by combining generic types inside other generic types. You’ve seen how to use nested generics in collections, tuples, stacks, queues, classes, and methods. You’ve learned how to manage complexity with type aliases and how to avoid common pitfalls. Nested generics are a powerful tool for modeling real-world data and workflows in a clean, reusable way. In the next article, we’ll explore Generic Best Practices-how to design generic APIs, avoid common mistakes, and write maintainable generic code that scales with your application.