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// // Connect shader constant register 0 to the Opacity // dependency property // public static readonly DependencyProperty OpacityProperty = DependencyPropertyRegister( "Opacity", typeof(double), typeof(MyShaderEffect), new PropertyMetadata(ShaderEffectPixelShaderConstantCallback(0)) ); // // Define the Opacity property //

Now both comparisons are using the same indexThe actual userid has to be concatenated at the beginning of the constant viewcount valueThis works with the strictly greater-than operator because the first comparison has already restricted the output to only those items with userid beginning with 001 Performance with Composite Attributes

bits 11-6

You may expect instantiating objects from code to be faster than parsing XAML, but XAML is faster in most cases The reason XAML is faster is that the XAML parser does not create the API objects you use to interact with elements, but instead only creates an internal representation After you start interacting with elements from code, Silverlight creates API objects that will slow down your application

Generating an extra attribute for each item that must be kept in sync is an advanced technique It has the drawbacks of added complexity, added storage, and added bandwidth You definitely want to be sure it is warranted before you implement it If you do implement it, keep the following in mind:

To use XAML to build the previous example application, modify HelloWorldA pp to load a XAML file:

z: 1 0

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You probably will only need to span two columns with this technique It is possible to do more, if there is more than one equality test in your Select, but using two may well be sufficient Although you are using the synthetic field for comparison and maybe even for sorting, you do not need to return that field and then parse it; just return the regular fields as you need them

The performance gain from this technique will depend on the correlation between the two values If there are only a few items for each userid or only a few items meeting the viewcount criteria, this technique will not be very helpful If there are many matches to both criteria but very few in common, this method should give a sizeable performance boost In the case where the composite criteria is highly selective, many more comparisons can safely be added to the query without hurting performance, since only a few items remain to be filtered You must be careful to maintain the proper field length and padding when composing a composite attribute from formatted numbers or dates

using System; using SystemWindows; namespace HelloWorld { public partial class A pp : A pplication { public A pp() { SystemWindowsA pplicationLoadComponent( this, new SystemUri( "/HelloWorld;component/A ppxaml", SystemUriKindRelative ) ); } } }

bits 5-0

When using the LIKE operator in a query to do wildcard matching, placement of the wildcard character can have a large impact on performance Placing the wildcard at the end, as in this example comparison, allows the index to be used when fetching results:

Here is the XAML le that corresponds to the sample application in the previous code example:

`name` LIKE 'Will%'

The character with the value ((x & 0xf) << 12) + (y & 0x3f) << 6) + (z & 0x3f) is represented by the three bytes 168

<A pplication xmlns="http://schemasmicrosoftcom/client/2007" xmlns:x="http://schemasmicrosoftcom/winfx/2006/xaml" x:Class="HelloWorldA pp" > <A pplicationRootVisual> <Canvas> <TextBlock Text="Hello World"/>

This yields excellent performance However, placing a wildcard character at the beginning like the following prevents the index from being used and results in a full table scan that, depending on your data, is likely to be much slower:

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