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In the Express products, Server Explorer is called Database Explorer
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Listing 154
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Two Different Ways to Transform Relational Data into XML
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continues
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15: XML Name space s, Transformations, and Schema
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Listing 154 Continued
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Listing 155
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The Output from the First Query Shown in Listing 154
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XML Transformations
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Listing 156 A Heavily Elided Version of the Output from the Second Query Shown in Listing 154
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Listing 154 shows two different queries The rst converts two comtable into XML The second joins data pany records from the from three tables and converts it into XML Both queries begin by creating a root element:
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15: XML Name space s, Transformations, and Schema
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The next step is to begin the query that retrieves the data from the database:
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Nested
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s are used to put the company name into the XML le:
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The XML written so far produces this output:
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Up to this point, both queries follow almost exactly the same pattern It is here, however, that their paths diverge The rst query simply adds s to ll out the remaining elds of the Customer table:
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The second query, however, follows a very different course It begins a table, which is bound to the second query, diving into the table in a one-to-many relationship:
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You have seen this kind of code before in this book, so I won t explain it again In this case, however, it is being used to transform relational data into XML elements and not just into text
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XML Transformations Digging Deeper
The code you see in the second example from Listing 154 typi es the virtues and complexities of the declarative style of programming The whole operation is a bit like a set of Russian nesting dolls, with one pattern nested inside another of the same type As soon as you get the rhythm, it is a relatively simple matter to extend the whole process one layer deeper, table: thereby retrieving information from the
Here you see yet another clause, thereby nesting our Russian nesting dolls one layer deeper Here is an excerpt from the XML produced by this query, complete with new information about the products associated with each order:
15: XML Name space s, Transformations, and Schema
In this section you have moved from a relatively simple example, to a moderately complex example, to a nal example that is more heavily nested than the rst two This gives you a chance to assess the virtues of the declarative style of programming With imperative code, it is relatively easy for experienced programmers to break each problem into discrete sections In the imperative mode, bugs come singly, with large sections of the program running correctly, and isolated problem areas With declarative programming, you often wrestle with a nested statement that will be completely out of whack one second and then quite suddenly snap into place after you make that last tweak With imperative code I often use logic to solve problems; with declarative code, I simply apply rules In this last example, for instance, there are statethree occasions when I apply a single rule for creating joins with ments The result is nested code, like three Russian dolls nested one within the other
Programmatically Creating the Database In this section, the direction of ow is the opposite of what you encountered in the previous section In the previous section, you moved data from a database into an XML le Now the process is reversed, and data ows from an XML le into a database When using LINQ to XML, moving data from an XML le to a database is a three-step process:
XML Transformations
1 Find the data in your XML le 2 Create objects shaped like the data you found in the XML le 3 Write LINQ to SQL code that automatically creates tables based on the objects in your program 9, Modifying Objects with LINQ to SQL, introduced the techniques for creating a database with LINQ to SQL In this chapter you will dig a bit more deeply into that same technology
Database Generation
To create a database and its tables with LINQ to SQL, rst you need to manually create a set of classes that de ne the structure of your data You can then give a simple command to create tables based on those classes In effect, this reverses the task performed by the Object Relational Mapper That tool creates classes based on the tables in a database The part of LINQ I m about to show you creates tables based on the classes in your program In either case, the same syntax is used to de ne the classes that mirror the objects in a database Before creating a class, you need to study the data in your XML le to discern its shape Take a moment to study this excerpt from our FirstFourPlanets XML le:
You can see that this XML can be encapsulated in two classes called and :