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The method getStateWindowName is used to retrieve an array State interface instance based on the name of a window. In the StateFilter class implementation, the method is not used because the method is intended to be used by some other processor carrying out some application logic. The method getEmptyState returns an empty State instance based on the URL and window name. The method copyState is used to transfer the state of one state instance to another. The method copyState might do a physical copy from one State instance to another State instance. Or the method copyState might do an in-place copy. It depends on the implementation of StateManager and is kept flexible for diversity purposes.
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Pattern Highlights
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The State Navigation pattern is used to solve the web application usability problem associated with HTTP POST and with the inconsistencies of running a web application using multiple web browsers. Using the State Navigation pattern, you can separate the state of an HTML page from the HTML page. With a separation, it is simpler to manage and accumulate state that can be used by a process to execute a single transaction. The State Navigation pattern requires active participation by the programmer to make everything work and as such could be prone to problems. The following are the important highlights of the State Navigation pattern: The pattern is used to associate a state with an HTML page.
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The associated state is in most cases nonbinding, and therefore, if lost, will not cause an application malfunction. In the worst case, a lost state results in the user having to reenter the data. HTML frames, when used extensively, may pose a problem for the pattern because the way that the browser manages navigation is modified and typically frames are given a name. Normally frames are not problematic, but if HTML frames are used, you should build a prototype so that there are no surprises. The pattern makes it possible to build applications that are transaction friendly because the state is cumulated by a state manager and can later be referenced as single action. The pattern provides a consistent user interface because posting the data is a separate step that is not part of the web browser s history. This solves the problem of posting data again when navigating HTML pages based on the history. The window name is a physical window name but could be used as an application grouping. For example, if a window is popped up, a window name could be reused, creating a relation between two separate HTML windows without sacrificing the ability to try out permutations of a form.
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The purpose of the Infinite Data pattern is to manage and display data that is seemingly infinite, in a timely manner.
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Databases have become very large and are growing by the day. For example, Google (the corporation) has databases so large that managing them literally requires thousands of computers. In the late nineties, the prevailing idea was to buy a very large computer with a dozen or so E B V N CPUs that would manage thousands of transactions. The question in the nineties was how to keep one or two or even four of those computers running. In the new millennium, the question has become how to manage the databases that have been building over the decades. Many companies today have databases that cannot be managed by one or four large computers. Many companies for instance, Google have databases that are terabytes and potentially petabytes large. Just to provide context to the situation, today it is possible to buy a terabyte of storage for the price of a low-end computer. Think hard about that and consider the ramifications. Unless they happen to have one large movie, most people will have personal videos, holiday pictures, e-mails, documents, and other information that will fill the terabyte. Now imagine every person decides to publish 100 megabytes on the Internet. The fact that Google can organize such a gargantuan amount of data is amazing. You could do some mildly fun math showing that to iterate petabytes of information would seem virtually impossible. Yet we do sift through the Google data and we even think that Google is extremely fast. The giganticness of the data poses some very interesting problems in that when a user queries for some data, which data is found Imagine that you are a farmer who has 5,000 acres of farm land. Three months into the growing season you need to consider whether your land needs water or pesticides. What criteria do you use to decide how much water and pesticides are required Having your 5,000 acres of land is not like having a garden on 1 acre. If you had a smaller piece of land, you could walk the land and look at the conditions of the entire property and make a quick decision. It is not possible to walk 5,000 acres and then decide what to do. You need to develop a strategy, or a plan of action. When writing your own applications that execute long calculations, long transactions, or long queries, you cannot ask the user to wait for the answer to appear. You cannot justify the wait to the user by saying, Please wait; we need to build a complete result set. The problem is
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