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windows appear to be poured into the Dock when minimized. In Windows Vista, when you press Alt+Tab to switch through open programs, the program windows are previewed vertically in a graphical arrangement, and you can flick through them, rather like searching through a card index. These effects are achieved using the 3D processing power of the computer s graphics card, even though the effects aren t necessarily 3D in nature.

[Event(name="trackCompleted", type="com.elad.framework.musicplayer.events.PlayerEvent")]

Although a Spring application can in principle be configured in any number of different ways, XML configuration files are by far the most common approach. Indeed, for most developers, the set of XML files used to configure the factory for a Spring project and the BeanFactory instance itself are virtually synonymous. The XML is the representation of the factory that will be available to you at runtime, so this is not a bad way of thinking of them, but do bear in mind that it is a useful approximation to the reality of the situation. Ultimately, we need to use a language of some sort to configure our dependencies. Traditionally, this has been the Java programming language itself, occasionally resorting to properties files when the problems of tight coupling became too painful. XML files offer us a better balance of flexibility, readability, verbosity, and expressiveness. Something to remember in particular is that there is no 1:1 correspondence between factories and XML files. It is entirely possible (and normal) to use multiple files to configure a single factory, or to use a single file to instantiate several discrete factories (though this is unusual). Listing 3-6 represents the same configuration information that we painstakingly hardcoded in Listing 3-5 of the previous section.

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In this code fragment, we are telling the optimizer to assume that our CPU speed is 350MHz (or probably 350 million Oracle operations per second), that a multiblock I/O will take 20 milliseconds and will typically be fetching 8 blocks, whereas a single block I/O takes 10 milliseconds. The deliberate setting of the optimizer cost model to use CPU costing is to standardize the effect between 9i and 10g. The default value for this parameter is choose, and 9i will choose to use CPU costing only if the system statistics exist, but 10g will always choose to use CPU costing and then synthesize some statistics if there aren t any in place (and I can t get the delete_ system_stats call to drop the system statistics in 10g). If we then run the following query against our base data set, we can see the effects of CPU costing (see script btree_cost_05.sql in the online code suite): select small_vc from t1 where and and ; n1 = 2 ind_pad = rpad('x',40) n2 in (5,6,7)

If you translate this storyboard into Silverlight animations, you will have four animations: Two animations that will cause the circle and the smaller square to move from the left to the right side of the document. An animation that will change the background of the larger rectangle from white to black. An animation to change the smaller rectangle into a square.

A correlated subquery references columns from an outer query block. Correlated subqueries can often be transformed into joins; noncorrelated subqueries have some chance of becoming driving subqueries. Simple subqueries contain just a single table. Complex subqueries contain many tables, through either joins or subqueries of subqueries. There are things that the optimizer can do with simple subqueries that cannot be applied to complex subqueries. If a simple (single table) subquery contains some aggregation, then there are some restrictions on how the optimizer may be able to transform them. A subquery that returns (at most) a single row which often means that it can become a driving point in the query. in subqueries can be rewritten as exists subqueries. These can then be transformed into semi-joins. not in subqueries can be rewritten as not exists subqueries. With certain restrictions, these can then be transformed into anti-joins. Critically, not in is not the opposite of in and null columns cause problems.

When you are running an ASP .NET application, you have access to the Page object via the Page class. You can use this access to get valuable information such as the session, the cache, the HTTP request, and the HTTP response (which we looked at briefly earlier in the chapter), among others. Let s take a look at some of these.

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