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Suppose that we want to list the names of all the files in a directory (including its subdirectories) and in our output format files of depth d have their names indented by d tab characters A short algorithm to do this task is ziven in Figure 185 Output for the directory presented in Figure 184 is shown in Figure 186 We assume the existence of the class Filesystem and two member functions, printName and isDirectoryThe function printName outputs the current FileSystem object indented by depth tab stops; the function isDirectory tests whether the current Filesystem object is a directory, returning true if it is Then we can write the recursive routine 1ist ~ 1We need to pass it the parameter depth,indicating the current l routine is started level in the directory relative to the root The 1ist ~ 1l with depth 0 to signify no indenting for the root This depth is an internal



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For simple types like integers and strings, whose normal presentation includes the full contents of the data as they are stored, no type conversion is really needed But for more complex database types, such as image, datetime, or floating point number, the formatters can





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used as an iterator As soon as it detects itself being modi ed, the MoveNext method prematurely returns false The proper approach to deleting a series of sibling nodes is to use the DeleteRange method By selecting the rst and last nodes within a range, the DeleteRange method will remove those two nodes and all nodes in between To determine which nodes are the rst and last for a repeating eld or group, we ll use a predicate lter Recall that passing a simple number as a predicate lter indexes into the 1-based collection of nodes The last node is found by using the XPath functions position and last The code in Listing 1520 shows the call to DeleteRange from the rst node with the last passed as a parameter (The sample le is named DeletingNodes)

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bookkeeping variable and is hardly a parameter about which a calling routine should be expected to know Thus the default value of 0 is provided for

const string f1 = "/my:myFields/my:group1/my: eld1"; XPathNavigator root = MainDataSourceCreateNavigator(); XPathNavigator rst = rootSelectSingleNode(f1 + "[1]", NamespaceManager); XPathNavigator last = rootSelectSingleNode(f1 + "[position()=last()]", NamespaceManager); rstDeleteRange(last);

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In a preorder tree traversal, work at a node is performed before its children are processedThe traversal takes constant time per node In a postorder tree traversal, work at a node is performed after its children are evaluatedThe traversal takes constant time per node

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Start with the article Accessing XML Data Using XPathNavigator on MSDN (as referenced in the Appendix) You can also search the Web for

The logic of the algorithm is simple to follow The current object is printed out, with appropriate indentation If the entry is a directory, we process all the children recursively, one by one These children are one level deeper in the tree and thus must be indented an extra tab stop We make the recursive call with depth+lIt is hard to imagine a shorter piece of code that performs what appears to be a very difficult task In this algorithmic technique, known as a preorder tree traversal, work at a node is performed before (pre) its children are processed In addition to being a compact algorithm, the preorder traversal is efficient because it takes constant time per node We discuss why later in this chapter Another common method of traversing a tree is the postorder tree traversal, in which the work at a node is performed after (post) its children are evaluated It also takes constant time per node As an example, Figure 187 represents the same directory structure as that shown in Figure 184 The numbers in parentheses represent the number of disk blocks taken up by each file The directories themselves are files, so they also use disk blocks (to store the names and information about their children) Suppose that we want to compute the total number of blocks used by all files in our example tree The most natural way to do so is to find the total number of blocks contained in all the children (which may be directories that must be evaluated recursively): books (41), courses (81, and login (2) The total number of blocks is then the total in all the children plus the blocks used at the root ( 1 ) , or 52 The size routine shown in Figure 188 implements this strategy If the current Filesystem object is not a directory, size merely returns the number of blocks it uses Otherwise, the number of.

transform the raw data into a completely different object type The next few sections step through some examples of setting up data binding for complex types to help illustrate how this all works The code for the next few sections is contained in the sample application ComplexTypeBinding in the download code

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