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Finalizers are unpredictable, often dangerous, and generally unnecessary Their use can cause erratic behavior, poor performance, and portability problems Finalizers have a few valid uses, which we'll cover later in this item, but as a rule of thumb, finalizers should be avoided C++ programmers are cautioned not to think of finalizers as the analog of C++ destructors In C++, destructors are the normal way to reclaim the resources associated with an object, a necessary counterpart to constructors In the Java programming language, the garbage collector reclaims the storage associated with an object when it becomes unreachable, requiring no special effort on the part of the programmer C++ destructors are also used to reclaim other nonmemory resources In the Java programming language, the try-finally block is generally used for this purpose There is no guarantee that finalizers will be executed promptly [JLS, 126] It can take arbitrarily long between the time that an object becomes unreachable and the time that its finalizer is executed This means that nothing time-critical should ever be done by a finalizer For example, it is a grave error to depend on a finalizer to close open files because open file descriptors are a limited resource If many files are left open because the JVM is tardy in executing finalizers, a program may fail because it can no longer open files The promptness with which finalizers are executed is primarily a function of the garbage collection algorithm, which varies widely from JVM implementation to JVM implementation The behavior of a program that depends on the promptness of finalizer execution may likewise vary It is entirely possible that such a program will run perfectly on the JVM on which you test it and then fail miserably on the JVM favored by your most important customer Tardy finalization is not just a theoretical problem Providing a finalizer for a class can, under rare conditions, arbitrarily delay reclamation of its instances A colleague recently debugged a long-running GUI application that was mysteriously dying with an OutOfMemoryError Analysis revealed that at the time of its death, the application had thousands of graphics objects on its finalizer queue just waiting to be finalized and reclaimed Unfortunately, the finalizer thread was running at a lower priority than another thread in the application, so objects weren't getting finalized at the rate they became eligible for finalization The JLS makes no guarantees as to which thread will execute finalizers, so there is no portable way to prevent this sort of problem other than to refrain from using finalizers Not only does the JLS provide no guarantee that finalizers will get executed promptly, it provides no guarantee that they'll get executed at all It is entirely possible, even likely, that a program terminates without xecuting finalizers on some objects that are no longer reachable As a consequence, you should never depend on a finalizer to update critical persistent state For example, depending on a finalizer to release a persistent lock on a shared resource such as a database is a good way to bring your entire distributed system to a grinding halt.

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If the random method worked properly, the program would print a umber close to half a million, but if you run it, you'll find that it prints a number close to 666,666 Two thirds of the numbers generated by the random method fall in the lower half of its range! The third flaw in the random method is that it can, on rare occasion, fail catastrophically, returning a number outside the specified range This is so because the method attempts to map the value returned by rndnextInt() into a nonnegative integer with Mathabs If nextInt() returns IntegerMIN_VALUE, Mathabs will also return IntegerMIN_VALUE, and the remainder operator (%) will return a negative number, assuming n is not a power of two This will almost certainly cause your program to fail, and the failure may be difficult to reproduce To write a version of random that corrects these three flaws, you'd have to know a fair amount about linear congruential pseudorandom number generators, number theory, and two's complement arithmetic Luckily, you don't have to do this it's already been done for you It's called RandomnextInt(int), and it was added to the standard library package javautil in release 12 You don't have to concern yourself with the details of how nextInt(int) does its job (although you can study the documentation or the source code if you're morbidly curious) A senior engineer with a background in algorithms spent a good deal of time designing, implementing, and testing this method and then showed it to experts in the field to make sure it was right Then the library was beta tested, released, and used extensively by thousands of programmers for several years No flaws have yet been found in the method, but if a flaw were to be discovered, it would get fixed in the next release By using a standard library, you take advantage of the knowledge of the experts who wrote it and the experience of those who used it before you A second advantage of using the libraries is that you don't have to waste your time writing ad hoc solutions to problems only marginally related to your work If you are like most programmers, you'd rather spend your time working on your application than on the underlying plumbing A third advantage of using standard libraries is that their performance tends to improve over time, with no effort on your part Because many people use them and because they're used in industry-standard benchmarks, the organizations that supply these libraries have a strong incentive to make them run faster For example, the standard multiprecision arithmetic library, javamath, was rewritten in release 13, resulting in dramatic performance improvements Libraries also tend to gain new functionality over time If a library class is missing some important functionality, the developer community will make this shortcoming known The.

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You might expect this program to print out the date twice, but it prints out null the first time because the method m is invoked by the constructor Super() before the constructor Sub() has a chance to initialize the date field Note that this program observes a final field in two different states The Cloneable and Serializable interfaces present special difficulties when designing for inheritance It is generally not a good idea for a class designed for inheritance to implement either of these interfaces, as they place a substantial burden on programmers who extend the class There are, however, special actions that you can take to allow subclasses to implement these interfaces without mandating that they do so These actions are described in Item 10 and Item 54 If you do decide to implement Cloneable or Serializable in a class designed for inheritance, you should be aware that because the clone and readObject methods behave a lot like constructors, a similar restriction applies: Neither clone nor readObject may invoke an overridable method, directly or indirectly In the case of the readObject method, the overriding method will run before the subclass's state has been deserialized In the case of the clone method, the overriding method will run before the subclass's clone methods has a chance to fix the clone's state In either case, a program failure is ikely to follow In the case of the clone method, the failure can do damage to the object being cloned as well as to the clone itself Finally, if you decide to implement Serializable in a class designed for inheritance and the class has a readResolve or writeReplace method, you must make the readResolve or.

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