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A UDA can be shared between as many stored procedures as you wish in a single database, with one central point for any code changes. UDAs can be used in conjunction with CLR-based, user-defined data types to achieve even more flexibility. Let s look at a simple example to highlight the benefits UDAs can offer. SQL Server s builtin aggregate functions allow for simple aggregations over sets of data. For instance, say you need to query to determine the average sales price of all of the products that have sold in the last month. You could write a simple query such as the following: SELECT AVG(Price) FROM Sales WHERE SalesDate >= DATEADD(mm, -1, GETDATE()) Simplicity is the key in this scenario. SQL Server s built-in set of aggregates includes average, sum, count, minimum, maximum, and standard deviation. But what about more complex situations Users might require median calculations or more sophisticated summation logic. And although it s possible to achieve a higher level of functionality by using complex T-SQL expressions, the level of difficulty in creating and maintaining these queries is often not worth the effort. CLR UDAs allow developers to express this complex logic in a much simpler way, by harnessing the power of the .NET Base Class Library (BCL) and the power of languages such as C#, which are much easier for most developers to grasp than T-SQL. UDAs can be used just like built-in aggregates and are called with the same syntax. They require no building of loops or other procedural logic, as do cursor-based solutions. Finally, UDAs promote encapsulation and reuse. Once created in a database, a UDA can be reused by as many queries as needed. The same cannot be said for most T-SQL based solutions.

values from our four text fields, stick them in a mutable array, and write that mutable array out to a property list. Why don t you compile and run the application It should build and then launch in the simulator. Once it comes up, you should be able to type into any of the four text fields. When you ve typed something in them, press the home button (the circular button with the rounded square in it at the bottom of the simulator window). It s very important that you press the home button. If you just quit the simulator, that s the equivalent of force quitting your application, and you will never receive the notification that the application is terminating, and your data will never get saved. Property list serialization is pretty cool and very easy to use, but it s a little limiting, since only a small selection of objects can be stored in property lists. Let s look at a little more robust approach.

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services have one significant drawback that we view as critical for their further acceptance in the enterprise. This limitation has held back web services as the enabling glue for tying applications together in a loosely coupled manner. That limitation is reliability. The foundation of web services, for many implementations, has traditionally been HTTP. SOAP over HTTP is generally considered the default mechanism for web services. However, HTTP doesn t guarantee reliability when dealing with duplication, ordering, or system outages. The WS-ReliableMessaging specification was created to address the needs of reliability for solutions that span applications across heterogeneous platforms. With WS-ReliableMessaging, it is possible to interact across applications in a reliable manner, but not in a durable one. The WS-ReliableMessaging specification addresses reliability from within a session, or more specifically, a service exchange between a client and a server. What WS-ReliableMessaging provides is a guarantee through delivery assurance that a message sent is received. That leaves the implementation, not the WS-ReliableMessaging specification, to fulfill the delivery assurance or raise a SOAP fault. The key delivery assurances that can be provided by each WS-ReliableMessaging implementation are as follows: AtMostOnce: Messages are delivered without duplication, but lost messages are not handled. AtLeastOnce: Messages are delivered once or more. If delivery fails, a fault is raised. ExactlyOnce: Message are delivered only once. If delivery fails, a fault is raised. InOrder: Messages are delivered in the order in which they re sent. Duplication and dropped messages are not addressed.

In the last part of 9, when we built the Presidents data model object, you saw an example of the process of loading archived data using NSCoder. In the Cocoa world, the term archiving refers to another form of serialization, but it s a more generic type that any object can implement. Any object specifically written to hold data (model objects) should support archiving. The technique of archiving model objects lets you easily write complex objects to a file and then read them back in. As long as every property you implement in your class is either a scalar like int or float or else is an instance of a class that conforms to the NSCoding protocol, you can archive your objects completely. Since most Foundation and Cocoa Touch classes capable of storing data do conform to NSCoding (though there are a few noteworthy exceptions like UIImage) archiving is actually relatively easy to implement for most classes. Although not strictly required to make archiving work, another protocol should be implemented along with NSCoding the NSCopying protocol, which is a protocol that allows your object to be copied. Being able to copy an object gives you a lot more flexibility when using data model objects. For example, in the Presidents application in 9, instead of that complex code we had to write to store changes the user made so we could handle both the Cancel and Save buttons, we could have made a copy of the president object and stored the changes in that copy. If the user tapped Save, we d just copy the changed version over to replace the original version.

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