Further Readings in Java

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365 Further Readings
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More thorough accounts of transactions in database systems may be found in: Bacon, Jean Concurrent Systems, Addison-Wesley, 1993 Cellary, Wojciech, E Gelenbe, and Tadeusz Morzy, Concurrency Control in Distributed Database Systems, North-Holland, 1988 Gray, Jim, and Andreas Reuter Transaction Processing: Concepts and Techniques, Morgan Kaufmann, 1993 Khoshafian, Setrag Object-Oriented Databases, Wiley, 1993 Lynch, Nancy, Michael Merritt, William Weihl, and Alan Fekete Atomic Transactions, Morgan Kaufmann, 1994 The following covers database programming using JDBC: White, Seth, Maydene Fisher, Rick Cattell, Graham Hamilton, and Mark Hapner JDBC API Tutorial and Reference, Second Edition, Addison-Wesley, 1999
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37 Implementing Utilities
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Utility classes and methods can encapsulate efficient, reliable, general-purpose implementations of concurrency control constructs in a way that lets them be used almost as if they were part of the language proper These classes can capture clever, complex, error-prone constructions and efficiently exploit special cases, packaging the results so that programs using them can be written more simply, reliably, and often with better performance It is worth the development effort to arrive at such classes only once, and only when justified by real design concerns This section illustrates some techniques used in the construction of common utilities All of them rely on general design and implementation tactics described previously in this book, but also introduce a few additional specialized constructions that typically arise only when building support classes The section starts by illustrating how to package acquire-release protocols under a common interface This is followed by an example showing how to apply joint action design techniques to split classes into parts for the sake of obtaining necessary concurrency control, and then recombining them to
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improve efficiency Finally, it discusses how to isolate waiting threads in order to manage notifications
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371 Acquire-Release Protocols
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As discussed in 251 and 341, many concurrency control constructs conform to an acquirerelease protocol that can be encompassed under the simple interface:
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interface Sync { void acquire() throws InterruptedException; void release(); boolean attempt(long msec) throws InterruptedException; }
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Supporting this interface under a given semantics (for example, locks, semaphores, latches) requires that the internal state representations that drive waits and notifications be managed by the Sync objects, not the classes using them Additionally, all control must be placed within the exported methods; it cannot be strewn around other methods in client classes, and it is a bad idea to introduce other methods that clients must use in a special, non-standard way to obtain desired behavior Most of the resulting issues and concerns can be illustrated with a sample implementation of the basic
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Semaphore class discussed in 341 Implementations of other Sync classes follow similar patterns (In fact, as shown in 341, classes such as Mutex can in turn be defined using
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semaphores) Both at the conceptual and representational level, a semaphore maintains a count of the number of permits that it manages The basic idea is that an acquire should wait (if necessary) until there is at least one permit, and that a release should increment the number of permits and provide notifications to any waiting threads Here are some other observations and choices that lead to an implementation:
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Since all waiting threads are waiting for permits, and since a release adds one permit, we can use notify rather than notifyAll, leading to cheaper notifications Also, the extranotify-on-interrupt technique described in 3242 is available to avoid lossage when threads are interrupted at just the wrong time Because this is intended to be a general-purpose class, we should play it safe and use long (not int) for counts This avoids all practical possibility of value overflow and costs almost nothing compared to monitor overhead To maintain responsiveness, we should check to make sure that the current thread has not been interrupted before acquiring any locks This minimizes windows of vulnerability for client threads getting stuck waiting for locks when they should be cancelling themselves (see 312) It also provides a more uniform guarantee that InterruptedException will be thrown if the thread enters in an interrupted state, rather than having the exception thrown only if the thread happens to block on the internal wait
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