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While the WorkQueue implementation above may seem a bit farfetched, it's not uncommon to see multithreaded systems with one or more threads that are unnecessarily runnable The results may not be as extreme as those demonstrated here, but performance and portability are likely to suffer When faced with a program that barely works because some threads aren't getting enough CPU time relative to others, resist the temptation to fix the program by putting in calls to Threadyield You may succeed in getting the program to work, but the resulting program will be nonportable from a performance standpoint The same yield invocations that improve performance on one JVM mplementation might make it worse on another and have no effect on a third Threadyield has no testable semantics A better course of action is to restructure the application to reduce the number of concurrently runnable threads A related technique, to which similar caveats apply, is adjusting thread priorities Thread priorities are among the least portable features of the Java platform It is not unreasonable to tune the responsiveness of an application by tweaking a few thread priorities, but it is rarely necessary, and the results will vary from JVM implementation to JVM implementation It is unreasonable to solve a serious liveness problem by adjusting thread priorities; the problem is likely to return until you find and fix the underlying cause The only use that most programmers will ever have for Threadyield is to artificially increase the concurrency of a program during testing This shakes out bugs by exploring a larger fraction of the program's state-space, thus increasing confidence in the correctness of the system This technique has proven highly effective in ferreting out subtle concurrency bugs In summary, do not depend on the thread scheduler for the correctness of your application The resulting application will be neither robust nor portable As a corollary, do not rely on Threadyield or thread priorities These facilities are merely hints to the scheduler They.

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One caveat should be added concerning serializability If you choose to have your immutable class implement Serializable and it contains one or more fields that refer to mutable objects, you must provide an explicit readObject or readResolve method, even if the default serialized form is acceptable The default readObject method would allow an attacker to create a mutable instance of your otherwise immutable class This topic is covered in detail in Item 56 To summarize, resist the urge to write a set method for every get method Classes should be immutable unless there's a very good reason to make them mutable Immutable classes provide many advantages, and their only disadvantage is the potential for performance problems under certain circumstances You should always make small value objects, such as PhoneNumber and Complex, immutable (There are several classes in the Java platform libraries, such as javautilDate and javaawtPoint, that should have been immutable but aren't) You should seriously consider making larger value objects, such as String and BigInteger, immutable as well You should provide a public mutable companion class for your immutable class only once you've confirmed that it's necessary to achieve satisfactory performance (Item 37) There are some classes for which immutability is impractical, including process classes such as Thread and TimerTask If a class cannot be made immutable, you should still limit its mutability as much as possible Reducing the number of states in which an object can exist makes it easier to reason about the object and reduces the likelihood of errors Therefore constructors should create fully initialized objects with all of their invariants established and they should not pass partially constructed instances to other methods You should not provide a public initialization method separate from the constructor unless there is an extremely good reason to do so Similarly, you should not provide a reinitialize method, which enables an object to be reused as if it had been constructed with a different initial state A reinitialize method generally provides little if any performance benefit at he expense of increased complexity The TimerTask class exemplifies these principles It is mutable, but its state space is kept intentionally small You create an instance, schedule it for execution, and optionally cancel it Once a timer task has run to completion or has been cancelled, you may not reschedule it A final note should be added concerning the Complex class in this item This example was meant only to illustrate immutability It is not an industrial strength complex number implementation It uses the standard formulas for complex multiplication and division, which are not correctly rounded and provide poor semantics for complex NaNs and infinities [Kahan91, Smith62, Thomas94].

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