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For those of you who really want to know how the regular expression works and are not quite sure, it uses negative look behind on each of the characters in the clientQuery. This look behind examines each character and rejects any that are already preceded by a \ character and continues to the next character. If the character is not already preceded by a \ and it matches any of the expressions in the regexOr string, the expression is substituted for the character, so : becomes \:.

The Prism MefModuleManager implementation keeps the MEF AggregateCatalog and the Prism ModuleCatalog synchronized, thereby allowing Prism to discover modules added via the ModuleCatalog or the AggregateCatalog. Note: MEF uses Lazy<T> extensively to prevent instantiation of exported and imported types until the Value property is used. Using MEF to Discover Modules in a Directory MEF provides a DirectoryCatalog that you can use to inspect a directory for assemblies that contain modules (and other MEF exported types). In this case, you override the ConfigureAggregateCatalog method to register the directory. This approach is only available in WPF. To use this approach, you first need to use the ModuleExport attribute to apply the module names and dependencies to your modules, as shown in the following code example. This allows MEF to import the modules and allows Prism to keep the Module Catalog updated.

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SELECT S.name AS [Service], Q.name AS [Queue], C.name AS [Contract] FROM sys.services AS S JOIN sys.service_queues AS Q ON S.service_queue_id = Q.object_id JOIN sys.service_contract_usages AS U ON S.service_id = U.service_id JOIN sys.service_contracts AS C ON U.service_contract_id = C.service_contract_id;

We will now see how we can use these well-known metadata, and later we ll discuss custom metadata. In order to demonstrate using well-known metadata, take a look at the following simple project. This is taken from the le WellKnownMetadata.proj.

Materializing aggregated data to some level of granularity (for example, employee and month), and issuing running, sliding, and other statistical reports against that data Materializing a result of a query for paging purposes Materializing result sets of interim queries, and querying the materialized data Materializing the result of a query with the GROUPING SETS, CUBE and ROLLUP options, and issuing queries against that data Walking through the output of a cursor and saving information you read or calculate per row for further manipulation Pivoting data from an Open Schema environment to a more traditional form, and issuing queries against the pivoted data Creating a result set that contains a hierarchy with additional attributes such as materialized paths or levels, and issuing reports against the result Holding data that needs to be scrubbed before it can be inserted

You can get the complete ReportViewDetail Activity from the source code download for this chapter In the onStart method shown in this listing, we focus on parsing data from the Uri passed in as part of the Intent that invokes the Activity First, we establish a database helper object B This object will be used to query a local SQLite database that stores user-specified location data We ll show more about how data is handled, and the details of this helper class, in chapter 5 In this method, we also obtain the postal code of the current device location from a LocationManager in the WeatherAlertService class C We want to use the location of the device as the default weather report location As the user travels with the phone, this location will automatically update We ll cover location and LocationManager in chapter 11.

It is time to revise the table with full temporal support the Suppliers_FromTo table . Instead of using two separate from and to columns, I can use now a single during attribute, and create the Suppliers_During table . Of course, the during column s type will be my new IntervalCID data type . Similar to the way I created the SuppliersProducts_Since table in the semitemporal version, I can create a table for supplies with full temporal support, namely the SuppliersProducts_During table . Using this design, I can easily implement quite a few of the constraints I mentioned:

Automatic Memory Management (Garbage Collection)

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