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Historically, Sun has see-sawed between two extremes when it comes to Java. Their initial release of Java included an enormous set of libraries with a bewildering array of packages, classes, and methods. Each individual component had a very well-defined role, but that meant learning many new components. With Java ME, the pendulum swung the other way with the introduction of the Generic Connection Framework (GCF). Now you had a single component, like a Connector, that was responsible for a wide variety of tasks such as accessing the network or writing a file. The MMAPI is very similar to the GCF in that there are only a few classes to learn, but a great deal of nuance in their use. Sun broadly defines media to include all audio operations and all visual operations except for the display of still images. In the same way that you access Connection subtypes by making requests to the Connector class, you access Player instances by making requests to the Manager class. Unlike the GCF, though, there are no subclasses of Player; instead, each Player can support an arbitrary number of Control objects. Each Control allows you to manipulate some aspect of the recording/playback operation. For example, playing back a video may provide access to a VideoControl, FramePositioningControl, and VolumeControl, while playing back an audio file will offer only the VolumeControl. Figure 2-1 illustrates two possible configurations of Player objects. This sort of separation allows RIM and other manufacturers to add additional functionality based on new features, and not the specific media type.

the status bar are always low priority, and will be displayed as an icon that presents a tooltip on mouseover (see figures 6.2 and 6.3). renderSmall() renders the icon inside the DOM element and provides event handlers for displaying the pop-up tooltip. Because this chapter is about adding professional polish to Ajax applications, the tooltip that we create for the icon has been implemented in a complete fashion, with three event handlers. It will appear when the mouse rolls over the icon e and disappear when the mouse moves off the icon f. If the icon is clicked, however, the tooltip becomes pinned g and will stay in place until either the icon is clicked again, the message expires, or another tooltip is selected (only one tooltip will be visible at any given time).

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"EMPNO"=42) Statistics ---------------------------------------------------------0 recursive calls 0 db block gets 7 consistent gets 0 physical reads 0 redo size 1153 bytes sent via SQL*Net to client 419 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 4 rows processed we did four fewer I/Os (the four should have been guessable); we skipped four TABLE ACCESS (BY INDEX ROWID) steps The more child records we have, the more I/Os we would anticipate skipping So, what is four I/Os Well, in this case it was over one-third of the I/O performed for the query, and if we execute this query repeatedly, it would add up.

Executes the asynchronous computation expr, and binds its result to pat when it completes. If expr has type Async<'T>, then pat has type 'T. Equivalent to async.Bind(expr,(fun pat -> ...)). Executes an expression synchronously, and binds its result to pat immediately. If expr has type 'T, then pat has type 'T. Equivalent to let! () = expr. Equivalent to let () = expr. Evaluates the expression, and returns its value as the result of the containing asynchronous workflow. Equivalent to async.Return(expr). Executes the expression as an asynchronous computation, and returns its result as the overall result of the containing asynchronous workflow. Equivalent to expr. Executes the expression immediately, and binds its result immediately. Calls the Dispose method on each variable bound in the pattern when the subsequent asynchronous workflow terminates, regardless of whether it terminates normally or by an exception. Equivalent to async.Using(expr,(fun pat -> ...)).

Enter the code shown in Example 4-3.

Each I/O and each consistent get requires an access to the buffer cache, and while it is true that reading data out of the buffer cache is faster than disk, it is also true that the buffer cache gets are not free and not totally cheap Each will require many latches of the buffer cache, and latches are serialization devices that will inhibit our ability to scale We can measure both the I/O reduction as well as latching reduction by running a PL/SQL block such as this: ops$tkyte%ORA11GR2> begin 2 for x in ( select empno from emp ) 3 loop 4 for y in ( select empename, astreet, acity, astate, azip 5 from emp, heap_addresses a 6 where empempno = aempno.

the Bid. Similar to the one-to-one case, we can mark the owning side of the relationship by using the mappedBy column on the entity that is not the owner of the relationship. We ll analyze these relationships further by actually coding the BidItem relationship (see listing 7.8).

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