Implementing Concurrency
Now we have a basic framework for locking and concurrency management; let’s look at three patterns for implementing locking and concurrency in various environments.
Lockable Object Pattern
Some small applications keep their entire domain model in memory. This ability makes business logic easier to program, since you only need to deal with objects in memory (persistence, in this sort of application, can involve anything from serializing the entire object graph to disk to periodically writing changes to a database). The Lockable Object pattern is a simple approach to implementing locking in a nondistributed system where a single instance of a single application handles all changes to the data.
You can implement a simple lockable object using the Java
synchronized
keyword. As long as all attempts to
access the object are synchronized properly, you
don’t have to worry about lost updates, dirty reads,
or other concurrency problems. Unfortunately, synchronization has a
few problems. First, each thread accessing a synchronized object
blocks until the object becomes available, potentially tying up large
numbers of threads while waiting for time-consuming processing to
complete. Second, synchronized
doesn’t help if a user needs to hold onto an object
across multiple threads: for instance, a web-based update process
spread across two or three requests for a servlet.
To create a solution that lasts across threads, we need to be user-aware. For a lockable object, we accomplish ...
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