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When you create a DataTable by loading a data set programmatically, from XML, or from a database query, the types of the columns are automatically specified, and the data set can use these column types for runtime type checking However, the indexer on the DataRow class that lets you access the columns in a row is simply exposed as an Object reference This means that your code can attempt to assign any type value to a column and there isn't any way the compiler can tell whether it will succeed or fail You'll want to avoid this when you're developing code for a strongly typed platform like NET What you really want is for the compiler to be able to detect as many type incompatibilities as possible at design time, so that you don't ship a product that can blow up for improper casts or assignments To make a data set type safe, you basically have to wrap it in an API that is specific to each schema that you plan to put in it This means writing a new class with strongly typed properties for all the tables and rows (the schema elements) for every data set you want to implement Yuck! Who is going to bother to do that Well, the good news is that the code you need to write is a direct conversion of the data's schema, so it is a perfect candidate for code generation The ability to generate a typed data set for any schema you want is part of Visual Studioit simply involves running either a command line tool or using some of the built-in designers in the Visual Studio environment Using Visual Studio 2005 to create a typed data set from a database generates more than just the typed data set; it also generates something new called a table adapter, which provides a type-safe way of populating the data set from the database You will learn how to work with both typed data sets and table adapters in this chapter, and then you'll use these mechanisms for the bulk of the data retrieval and update used throughout the rest of the book The other problem that typed data sets address is tied into the type safety aspect and resolves certain unsavory coding practices that untyped data sets induce Take a look at the code in Listing 21.



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BinaryNode( const Comparable & theElement, ~ i n a r y ~ o d*It, e BinaryNode *rt, int sz = 1 ) : element( theElement ) , left( It ) , right( rt ) , size( sz ) { } friend class ~inarySearchTree<Comparable>;

Web service In the query case, clearly, we care about the data returned from the Web service, so InfoPath puts the data into the queryFields data source nodes (as we saw in 6) For submit, the form is simply shipping form data off to an external data source There may not be a Web service response anyway (ie, the return type on the Web service method may be void) Even if there is returned data, InfoPath does not speci cally care and, in fact, ignores it completely





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data members (the item and two pointers), the additional size data member used later, a constructor, and a friend declaration The BinarySearchTree class interface is shown in Figure 196 The only data member is the pointer to the root of the tree, rootIf the tree is empty, root is NULL Next in the interface are the copy constructor and copy assignment operator operator= is easily implemented, as we showed previously in Figure 1 813 (and as shown in the online code) The destructor at line 24 calls makeEmpty (which has the same implementation as the routine in Figure 1818) The rest of the public BinarySearchTreeclass interface is a straightforward listing of the member functions with implementations that call the hidden functions The constructor, declared at line 19, merely sets root to NULLThe publicly visible members are listed at lines 26-34 Some of the public member functions return a Cref object Recall that the Cref class template (see Section 532) wraps a constant reference variable However, its advantage is that it can also store a null reference Recall further that we can use isNull to test whether a null reference is being stored and that we can get the constant reference variable that is being wrapped by calling get Next, we have several functions that operate on a node passed as a parameter, a general technique that we used in 18 The idea is that the publicly visible class routines call these hidden routines and pass root as a parameter These hidden routines do all the work Two details are important: First, at line 38, we use protected rather than private because we

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private void UpdateCustomer(DataSet ds, string custID, string compName, string contactName, string title, string phone) { DataRow[] rows = dsTables["Customers"]Select( "CustomerID = 'ALFKI'"); DataRow row = rows[0]; row["CompanyName"] = compName; row["ContactName"] = contactName; row["ContactTitle"] = title; row[10] = phone; }

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