I'm working on a Java application that needs to handle a high volume of transactions while maintaining strict data consistency. However, I want to avoid the performance drawbacks that can come from using synchronized blocks. I'm curious if using StampedLock or VarHandles with CAS would be better options than traditional locking mechanisms. Also, I'm exploring how I might effectively combine CompletableFuture and custom thread pools for this purpose. Any practical tips would be greatly appreciated!
1 Answer
To tackle high concurrency, think about using concurrent data structures that can manage interactions between threads more efficiently. For example, a linked blocking queue can help, though it still uses locks internally. If your tasks are CPU-bound and can be split into chunks that are processed independently, each thread can work on its own data segments, which minimizes the need for locking. Keeping threads away from shared data as much as possible is key to optimizing performance. Also, consider creating isolated pipelines for independent data streams, which can later be combined.
That's a good idea! I'm trying to design a service for processing time-sensitive financial data that sometimes needs synchronization. Would focusing on isolated pipelines be worth it?