Collections in C#: Using List, IEnumerable, Array, and Dictionary for Different Scenarios

Collections in C#: Using List, IEnumerable, Array, and Dictionary for Different Scenarios

In C#, collections are fundamental for organizing and managing data efficiently. The language offers a wide range of collection types, from dynamic lists to fixed-size arrays and key-value pair collections. Each collection type has unique characteristics that make it better suited for specific use cases. Here, we’ll explore some of the most common collection types in C# and examine the ideal scenarios for using each.


1. List<T>

List<T> is a generic, dynamic collection that allows you to store elements of a specific type and is widely used for its flexibility. List<T> is part of the System.Collections.Generic namespace and is known for its ability to grow and shrink as elements are added or removed. It also provides fast access by index, making it easier to search and update elements.

Best Use Case: Use List<T> when you need a dynamic collection that allows for adding and removing elements easily, while also supporting quick access by index.

Ideal Scenarios:

  • Variable-sized lists: Useful when the number of elements may grow or shrink over time.
  • Indexed access: Ideal when you need to access elements directly by their index.
  • Data manipulation and sorting: List<T> provides methods for sorting and manipulating data, such as Sort, Find, Remove, and more.


2. IEnumerable<T>

IEnumerable<T> is an interface that defines a sequence of enumerable elements. Unlike List<T>, IEnumerable<T> does not allow for adding or removing elements and is limited to read-only operations. It’s commonly used to represent collections when the exact type of collection is not important.

Best Use Case: Ideal for scenarios where you only need to iterate over a collection without modifying it. The IEnumerable<T> interface works well with LINQ methods, making it ideal for querying and manipulating data.

Ideal Scenarios:

  • Methods returning collections: Ideal for methods that return a collection without requiring a concrete collection type.
  • Data Streams: Useful for situations where the collection is generated or loaded on-demand, such as reading lines from a text file.
  • LINQ operations: Works well with LINQ, enabling queries like Where, Select, and OrderBy.


3. ICollection<T>

The ICollection<T> interface is a generic collection that adds more functionality to IEnumerable<T>, allowing for count and manipulation operations, such as adding and removing elements. It’s an intermediate choice that provides flexibility without committing to a specific collection type.

Best Use Case: ICollection<T> is useful when you need a modifiable collection but don’t want to be restricted to a specific type, like List<T> or HashSet<T>.

Ideal Scenarios:

  • Generic collections: A good choice for methods that need to manipulate collections without specifying implementation details.
  • Counting and manipulating data: Ideal for situations where operations like adding, removing, and counting elements are necessary.


4. IList<T>

IList<T> inherits from ICollection<T> and IEnumerable<T>, adding indexed access and more flexibility for list-specific operations. It is ideal when you need a collection that allows manipulation by index.

Best Use Case: For scenarios where direct access to specific elements by index is needed, without requiring a specific implementation type.

Ideal Scenarios:

  • Direct access to elements: When you need to access or modify elements at specific positions.
  • Implementation flexibility: Allows switching the collection type in the future without modifying the interface.


5. Array

The Array in C# is a fixed-size collection that stores elements of a specific type. It is highly efficient for accessing elements, but its size must be known in advance and cannot be changed.

Best Use Case: Choose Array when you need a collection with a fixed size and fast indexed access.

Ideal Scenarios:

  • Fixed-size collections: Useful when the number of elements is fixed and known in advance.
  • Performance: Access to elements is fast, making it suitable for operations with a large number of data items and little need for flexibility.
  • Immutable data: Ideal for storing static data.


6. Dictionary<TKey, TValue>

Dictionary<TKey, TValue> is a key-value pair collection where each key is unique. It is highly efficient for lookups and is commonly used when you need to associate data with specific keys.

Best Use Case: Ideal for storing and accessing data by unique keys efficiently.

Ideal Scenarios:

  • Key-value association: When each value needs to be associated with a unique key, such as a product catalog indexed by product code.
  • Frequent lookups: When key-based lookups are frequent operations.
  • Unique key data: Necessary when each element needs a unique identifier.


7. IQueryable<T>

IQueryable<T> is another key type in C#, especially useful in scenarios requiring complex and efficient queries on large datasets, such as database queries. IQueryable<T> is an interface that extends IEnumerable<T> to provide query capabilities that can be translated into an underlying query language like SQL. It is widely used with LINQ to SQL, LINQ to Entities (Entity Framework), and other data access libraries.

Best Use Case: IQueryable<T> is ideal for scenarios where the data source is large, like a database, and you need an efficient way to query and manipulate only the necessary data without loading the entire collection into memory.

Ideal Scenarios:

  • Database queries: When used with ORMs like Entity Framework, Dapper, or LINQ to SQL, IQueryable<T> allows the construction of queries that will be executed directly in the database.
  • Dynamic filters and complex queries: In situations where the user can add filters, sorting, or pagination, as IQueryable<T> allows the query to be composed over time.
  • Reduced memory usage: Since IQueryable<T> enables fetching only the required data, it avoids loading large amounts of data into memory unnecessarily.


Each of these collections addresses a specific type of need, balancing performance, flexibility, and simplicity for data handling in C#.

Giovani Rodrigues

Data Scientist | Python | Pyspark | SQL | Machine Learning | Databricks

3 个月

Nice tips!

Jonas Machado

Senior Software Engineer | C# | AWS | .NET Core Specialist | T/SQL | B.Sc. in Computer Science | MBA in Software Engineering

3 个月

Congratulations! Your explanation was excellent!

Leandro Jara

Senior Java Software Developer / Engineer | Java | Spring Boot | Backend focused

3 个月

Very informative, Thank you!!!

Gustavo Guedes

Senior Flutter Developer | iOS Developer | Mobile Developer | Flutter | Swift | UIKit | SwiftUI

3 个月

Great artcile Thiago Henriques Santos! Thanks for sharing.

Lucas Wolff

.NET Developer | C# | TDD | Angular | Azure | SQL

3 个月

Awesome tips Thiago Henriques Santos!

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