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From the examples, the design specification, and from other dashboard implementations, you have to create a control that is very flexible and can be rendered in various ways. The control has to not only render well but also deliver proper business intelligence insight This can become challenging when you do not know how a developer will use your control. The control can have explicit widths, can be really wide or tall, it can have dynamic dimensions etc. The best approach for any custom control is to create a fluid layout that will satisfy most implementations. The best way to explain this is through example. Focus on Figure B-13 and notice how the button control is rendered with several different dimensions but still maintains a valid consistency. The content label Button is always in the center of the button control. The control can be explicitly rendered with width and height dimensions. Automatic layouts are also shown that dynamically calculate the position of its children. For example, in Figure B-13, the buttons in the StackPanel are not given explicit dimensions and are calculated dynamically.

Table 1-1 Continued Annotation E Des cription This is the Properties window; here, several sections are collapsed so that they fit in the view This is the Resources window, which lists available resources such as styles and templates, We cover these resources throughout this book, particularly in s 2, 4, and 5 Clicking this chevron brings up the Asset Library, where you can search for a control if you are not sure what the icon is or whether it is visible The Asset Library is similar to the Visual Studio toolbar area where controls are listed The little arrow in the lower-right corner under some of the controls shown in the Asset Library is a visual cue that related controls are available for quick access Clicking and holding the arrow brings up a small window listing the related controls.

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The NET Framework 35 base class library exposes a namespace called SystemIOCompression, which includes classes for compressing data streams using the GZip and Deflate algorithms The power of these algorithms can be harnessed for data applications by defining scalar functions to compress and decompress binary data These functions can be used in document repositories to greatly reduce disk space, and moving compression into the data layer means that applications need only be concerned with the data itself, not its on-disk storage format However, there is a downside to moving compression from the application into the data tier Compression is expensive in terms of processor and memory utilization Before moving compression into production databases, ensure that the servers can handle the additional load, lest performance suffer The first step in modifying the function template to handle compression is to add using directives for the IO and Compression namespaces.

Click a control, and it becomes the visual control for that section of the Asset Library Clicking this button creates a new Storyboard object You use storyboards to design animations We talk more about storyboards later in this chapter This is the extremely useful Search text box Type a property name, and Expression Blend 3 will search the list of properties available for the control and bring the property into view for easy access Be sure to clear the Search text box when you ve finished Otherwise, it can be confusing when you switch objects and the filter entered in the Search text box does not apply, resulting in a blank properties window The XAML visual tree is listed in this area of Expression Blend 3 The yellow frame around the LayoutRoot control indicates that the LayoutRoot control is the active element.

Caution The button control trivializes some of the concepts that go into creating a fluid and dynamic control layout. However, these concepts are very similar to creating fluid layouts in HTML web programming for different screen resolutions.

using SystemIO; using SystemIOCompression; The SystemIO namespace is necessary, as it contains the classes that define streams A MemoryStream will be used as a temporary holder for the bytes to be compressed and decompressed To facilitate the compression using the GZip algorithm, the function must create a memory stream using binary data from the SQL Server caller and pass the stream to the specialized GZipStream to get the compressed output The BinaryCompress function is implemented in the following code: [MicrosoftSqlServerServerSqlFunction] public static SqlBytes BinaryCompress(SqlBytes inputStream) { using (MemoryStream ms = new MemoryStream()) { using (GZipStream x = new GZipStream(ms, CompressionModeCompress, true)) { byte[] inputBytes = (byte[])inputStreamValue; xWrite(inputBytes, 0, inputBytesLength); } return (new SqlBytes(msToArray())); } } Note that this function uses the SqlBytes type for both input and output.

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