In this example, we’ll demonstrate how to manage state using concurrent threads in Java. This approach aligns with Java’s thread-based concurrency model and demonstrates how to share data safely between multiple threads.
In this Java example, we use a similar approach to manage state using concurrent threads. Here’s a breakdown of the key components:
We define ReadOperation and WriteOperation classes to encapsulate read and write requests.
The state is managed by a single thread (the stateManager), which waits for notifications from other threads.
We use synchronized blocks and wait()/notifyAll() methods to ensure thread-safe access to the shared state.
100 reader threads and 10 writer threads are created to perform concurrent operations on the state.
We use AtomicLong to safely count the number of read and write operations across multiple threads.
The main thread sleeps for a second to allow the worker threads to run, then prints the final operation counts.
Running this program will show the number of read and write operations completed in one second:
This thread-based approach in Java is more complex than using simple synchronization primitives. However, it can be useful in certain scenarios, especially when dealing with multiple shared resources or when you need fine-grained control over concurrency. Always choose the approach that makes your program easiest to understand and reason about in terms of correctness.