Concurrency
C# Concurrent Collections
Concurrent Collections
C# concurrent collections like ConcurrentDictionary ensure thread safety.
Introduction to Concurrent Collections
C# concurrent collections provide a way to handle collections of data in a thread-safe manner without the explicit use of locks. These collections are a part of the System.Collections.Concurrent
namespace and are optimized to handle concurrent operations efficiently.
Some popular concurrent collections include:
- ConcurrentDictionary
- ConcurrentQueue
- ConcurrentStack
- ConcurrentBag
Understanding ConcurrentDictionary
The ConcurrentDictionary
is a thread-safe collection of key/value pairs that can be accessed by multiple threads concurrently. It is ideal for scenarios where you need fast and concurrent reads and writes.
Here is a simple example of using ConcurrentDictionary
:
Exploring ConcurrentQueue
The ConcurrentQueue
is a thread-safe FIFO (First-In-First-Out) collection. It is useful for scenarios where you need to enqueue and dequeue items concurrently.
Below is an example of using ConcurrentQueue
:
Working with ConcurrentStack
The ConcurrentStack
is a thread-safe LIFO (Last-In-First-Out) collection. It is beneficial in scenarios where you need to push and pop items concurrently.
Let's look at an example of using ConcurrentStack
:
Utilizing ConcurrentBag
The ConcurrentBag
is a thread-safe, unordered collection of items. It is suited for scenarios where the order of items is not important, and you need fast parallel add and remove operations.
Here's an example of using ConcurrentBag
:
Choosing the Right Concurrent Collection
When choosing a concurrent collection, consider the following aspects:
- Ordering: Use
ConcurrentQueue
for FIFO,ConcurrentStack
for LIFO, andConcurrentBag
when order doesn't matter. - Key/Value Pairs: Use
ConcurrentDictionary
when you need to manage key/value pairs. - Performance: Consider the overhead of synchronization and choose the collection that fits your performance needs.
Each collection is optimized for a specific use case, ensuring safety and performance in multi-threaded applications.
Concurrency
- Tasks
- Async/Await
- Parallel
- Locks
- Concurrent Collections
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