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Note that the extensible variant is not compatible with the comparable variant; if you tried to combine them, the ordering among the elements of the subclasses would be a function of the order in which the subclasses were initialized, which could vary from program to program and run to un The extensible variant of the typesafe enum pattern is compatible with the serializable variant, but combining these variants demands some care Each subclass must assign its own ordinals and provide its own readResolve method In essence, each class is responsible for serializing and deserializing its own instances To make this concrete, here is a version of the Operation class that has been modified to be both extensible and serializable:. Effective Java: Programming Language Guide // Bit-flag variant ublic static final public static final public static final public static final of int enum pattern int SUIT_CLUBS = int SUIT_DIAMONDS = int SUIT_HEARTS = int SUIT_SPADES =. Number 13 In Java Using Barcode printer for Java .Related: Generate Interleaved 2 of 5 C# , Intelligent Mail Generator Excel , .NET WinForms ITF-14 Generating

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Ideally, keeping organized records will help you manage your investment more effectively than if you just toss everything into a shoe box Actually using the information to improve the performance of your investment is up to you Solid record-keeping gives you an edge over investors who don t maintain accurate and accessible records in several ways: You have better information regarding the financial position of your investment that allows you to make faster decisions You find it easier and, often, cheaper to complete tax returns because your bookkeeper or accountant will have less to wade through You have a basis for evaluating the condition, efficiency, and operation of your property You find that you can more easily assess the property s place in your portfolio vis- -vis your short-term objectives and overall goals You re able to easily analyze and prepare projections for cash flow, income, and expenses.

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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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Often, a well-designed accounting software package can help you better manage your financial records Whether you buy an off-the-shelf package or have ne tailored to your specific requirements (especially if you have manifold business interests), software is adept at crunching the numbers you require at the punch of a button All going well, you ll know within seconds where you stand with regard to your property investments Far be it from us to recommend an accounting software package to you Rather than promote a specific company s product (hey, we re not getting commissions on the sales), we simply encourage you to investigate the several that are available some, even, especially for Canadians Intuit s QuickBooks package is probably the best-known among small businesses in Canada, but other options exist Some software consultants may even be able to customize an off-the-shelf package for your particular circumstances Running at about $100, the price of the basic QuickBooks accounting package compares favourably to tailor-made programs costing several hundreds or even thousands of dollars.

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When CGI- and API-based applications become performance bottlenecks because of heavy load; the typical solution is to get either a more powerful Web server or more Web servers to run them By using FastCGI, FastCGI applications can be run on dedicated application servers on the network, thus freeing the Web server for what it does the best service Web requests The Web server(s) can be tailored to perform Web service better and at the same time the FastCGI application server can be tailored to run applications efficiently The Web administrator never has to worry about how to balance the resource requirements of the Web server and the applications on the same machine This provides for a more flexible configuration on the Web server side as well as the application side Many organizations want to provide database access on their Web sites Because of the limitations of CGI and vendor APIs, however, they must replicate a limited version of the database on the Web server to provide this service This creates onsiderable work for the administrator With remote FastCGI, the applications can run on the internal network, simplifying the administrator s job When used with appropriate firewall configuration and auditing, this approach provides a secure, high-performance, scalable way to bring internal applications and data to the Internet Remote FastCGI connections have two security issues: authentication and privacy FastCGI applications should only accept connections from Web servers that they trust (the application library includes support for IP address validation) Future versions of the protocol might include support for applications authenticating Web servers, as well as support for running remote connections over secure protocols such as Secured Socket Layer (SSL). Web Server. Make Data Matrix In VB.NET Using Barcode maker for .NET .Related: 

There are three aphorisms concerning optimization that everyone should know They are perhaps beginning to suffer from overexposure, but in case you aren't yet familiar with them, here they are: More computing sins are committed in the name of efficiency (without necessarily achieving it) than for any other single reason including blind stupidity William A Wulf [Wulf72] We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil Donald E Knuth [Knuth74] We follow two rules in the matter of optimization: Rule 1 Don't do it Rule 2 (for experts only) Don't do it yet that is, not until you have a perfectly clear and unoptimized solution M A Jackson [Jackson75] All of these aphorisms predate the Java programming language by two decades They tell a deep truth about optimization: It is easy to do more harm than good, especially if you optimize prematurely In the process, you may produce software that is neither fast nor correct and cannot easily be fixed Don't sacrifice sound architectural principles for performance Strive to write good programs rather than fast ones If a good program is not fast enough, its architecture will allow it to be optimized Good programs embody the principle of information hiding: Where possible, they localize design decisions within individual modules, so individual decisions can be changed without affecting the remainder of the system (Item 12) This does not mean that you can ignore performance concerns until your program is complete mplementation problems can be fixed by later optimization, but pervasive architectural flaws that limit performance can be nearly impossible to fix without rewriting the system Changing a fundamental facet of your design after the fact can result in an ill-structured system that is difficult to maintain and evolve Therefore you should think about performance during the design process Strive to avoid design decisions that limit performance The components of a design that are most difficult to change after the fact are those specifying interactions between modules and with the outside world Chief among these design components are APIs, wire-level protocols, and persistent data formats Not only are these design components difficult or impossible to change after the fact, but all of them can place significant limitations on the performance that a system can ever achieve.

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