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Two groups in this expression capture the comparison operator and the variable name. The word null isn t important to capture because you can put it back into the replacement expression. The search expression is as follows: \( \s * ( . + ) \s * ( [!=] = ) an open parenthesis . . . whitespace . . . found zero, one, or many times . . . a group that contains . . . any character . . . found one or more times . . . the end of the group . . . whitespace . . .

Learn to use the PivotViewer control inside existing Silverlight 4 applications. Understand how to create custom PivotViewer collections. See how separate Silverlight applications communicate and interact with each other.

You can now switch back to the SequentialWorkflow view and then go into the Fault Handlers view of the SequenceActivity. Once there, paste the two activities into the FaultHandlersActivity. When you re done, the two FaultHandlerActivity instances (along with their children) should be declared within the SequenceActivity instead of the workflow.

See how the PivotViewer control implements key business intelligence 2.0 tenets such as interactivity, data visualizations, real-time feedback, in-memory analysis, etc. Understand how the PivotViewer control can be used as an entry point or replacement for a light analysis business intelligence module.

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After pasting the two FaultHandlerActivity instances, the faultHandlerArithmetic may be listed first, which is the incorrect sequence. To correct this, you can drag the faultHandlerDivide activity to the left of the faultHandlerArithmetic.

found zero or more times . . . a second group . . . a character class that can contain ! or =, followed by . . . a second equals sign . . . the end of the second group . . .

See how the PivotViewer control can add the wow factor to your product demos and spike the interest of potential customers. Appreciate the functionality the PivotViewer control surfaces and how it can make your static data appear dynamic.

Once these structural changes are made, you should be ready to run the ConsoleException application again without any code changes. This time, the results should look like this: Executing ExceptionWorkflow Value 1 Handle DivideByZeroException: Error 1 Executing the other CodeActivity Completed ExceptionWorkflow Value 1 Executing ExceptionWorkflow Value 2 Handle ArithmeticException: Error 2 Executing the other CodeActivity Completed ExceptionWorkflow Value 2 Press any key to exit As is the case in the last example, each exception is handled by its own FaultHandlerActivity. But now (finally), the second mainline CodeActivity executes. When an exception is raised by the codeCauseException activity, it is now caught by the fault handlers declared within the SequenceActivity. Once the exception is handled, any remaining activities within the workflow (the codeOtherActivity activity) are allowed to execute normally. Where you place the fault handling activities is completely up to you. Depending on the requirements of the workflow, you may want to handle the faults at the workflow level. Or you may determine that it is best to handle them within one of the composite activities of the workflow. This latter approach contains the exception and allows other portions of the workflow to execute.

One other useful pattern that you may use is to handle an exception within a workflow but then rethrow the exception. The benefit of this approach is that it allows you to declare cleanup activities within the workflow to handle the exception, but it also notifies other components in the application that an exception has occurred. The other components may be the workflow class itself, other composite activities further up the activity stack, or the host application. The ThrowActivity is used to declaratively throw a new exception. But when it is used as a child of a FaultHandlerActivity, you can bind the ThrowActivity properties to the parent FaultHandlerActivity, allowing the original Type of Exception to be rethrown.

The Silverlight PivotViewer is a Silverlight web control that allows a casual user or analyst to interact with large amounts of visual data. The PivotViewer is not a traditional analysis control because it surfaces visual data that can be interacted with using next-generation interactions such as panning, zooming in and out. This control can be used to host massive amounts of data like the entire collection of Wikipedia articles or collections as small as one record. The Silverlight PivotViewer was generated to expose visual data for various scenarios including business intelligence, retail, point of sale, academic research, web search, etc. While all of these scenarios are important, I will focus on how the PivotViewer can be used for business intelligence analytics and surfacing data visualizations.

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