Thread Safe Queue in C++In this article, we will discuss the thread safe queue in C++ with its example. What is Thread Safe Queue?A data structure called a thread-safe queue is made to ensure thread safety in concurrent environments. This data structure enables simultaneous enqueuing and dequeuing of elements by several threads using the same queue. The internal organization of the queue ensures that the threads do not conflict with one another, hence there is no need for synchronization. As a result, it offers a quick and safe method for numerous threads to access shared resources.
Assume that a serial algorithm is divided into separate units for parallel operation. Every task or chunk operates on a different thread, and when a task is finished, it adds the data to the input or output queue so that it can move on to the next one.
Why Thread-Safe Queues Are Necessary?A simple data structure that adheres to the First-In-First-Out (FIFO) concept is a queue. In concurrent applications, it is often used to manage tasks, messages, and data. Multiple threads may concurrently enqueue (push) and dequeue (pop) elements from a queue in a multi-threaded system. Inadequate synchronization may result in racial circumstances, unpredictable behavior, and corrupted data. Thread-safe queues are necessary in situations such as these:
Implementation: In C++, a mutex plus a normal queue can be used to create a thread-safe queue. A synchronization object called a mutex is employed to safeguard access to a shared resource, like a thread-safe queue. Before pushing or popping elements from the queue, the mutex should be locked, and it should be unlocked once the action is finished. A condition variable is used to wait for changes to the queue, and a mutex is used to secure access to the queue.
Example:Let's take a program to implement Thread Safe Queue in C++: Output: A key component of C++ concurrent programming is thread-safe queues. They ensure data integrity, stop data races, and facilitate smooth coordination across several threads. The particular performance, complexity, and safety requirements of your application will determine which implementation is mutex-based or lock-free is best.
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