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In addition to XSD, SQL Server supports XML Data Reduced (XDR), another standard for metadata definition . Because XDR is an older and less powerful standard than XSD, I am going to focus on XSD in this chapter . In addition, XDR is deprecated, and Microsoft recommends against using it in new development work . When you check whether a XML document complies with a schema, you validate the document . A document with a predefined schema is said to be a typed XML document . I ll finish this brief introduction to XML by explaining another term: the XML Document Object Model (DOM) . The DOM provides an object-oriented presentation of an XML document . XML DOM allows you to manipulate the document with properties, methods, and events . Note that the memory consumption of the XML DOM can be quite high .

You could also use a pure mathematical approach to handle zeros and negative values using the following query:

I created all the XML in this chapter, including the schemas, using T-SQL . In this section, I ll explain how you can convert a query result set to XML using the FOR XML clause of the T-SQL SELECT statement . I ll explain the most useful options and directives of this clause; for a detailed description of complete syntax, please refer to SQL Server Books Online .

SSMS has two options to present the graphical form of a showplan: the Display Estimated Execution Plan and Include Actual Execution Plan commands, which are available in the Query menu and as toolbar buttons as depicted in Figure 2-8 .

SELECT groupid, CAST(ROUND(EXP(SUM(LOG(ABS(NULLIF(val,0)))))* (1-SUM(1-SIGN(val))%4)*(1-SUM(1-SQUARE(SIGN(val)))),0) AS INT) AS product FROM dbo.Groups GROUP BY groupid;

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This example shows that you should never lose hope when searching for an ef cient solution. If you invest the time and think outside the box, in most cases you ll nd a solution.

The first option for creating XML from a query result is the RAW option . The XML created is quite close to the relational (tabular) presentation of the data . In RAW mode, every row from returned rowsets converts to a single element named row, and columns translate to the attributes of this element . Here is a simple query using the FOR XML RAW clause:

In this section, I ll introduce specialized solutions for aggregating the T-SQL bitwise operations bitwise OR (|), bitwise AND (&), and bitwise XOR (^) I ll assume that you re familiar with the basics of bitwise operators and their uses and provide only a brief overview If you re not, please refer rst to the section Bitwise Operators in SQL Server Books Online Bitwise operations are operations performed on the individual bits of integer data Each bit has two possible values, 1 and 0 Integers can be used to store bitmaps, or strings of bits, and in fact they are used internally by SQL Server to store metadata information for example, properties of indexes (clustered, unique, and so on) and properties of databases (readonly, restrict access, autoshrink, and so on).

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USE InsideTSQL2008; SELECT Customer.custid, Customer.companyname, [Order].orderid, [Order].orderdate FROM Sales.Customers AS Customer JOIN Sales.Orders AS [Order] ON Customer.custid = [Order].custid WHERE Customer.custid <= 2 AND [Order].orderid %2 = 0 ORDER BY Customer.custid, [Order].orderid FOR XML RAW;

You might also choose to store bitmaps yourself to represent sets of binary attributes for example, a set of permissions where each bit represents a different permission Some experts advise against using such a design because it violates 1NF ( rst normal form, which requires attributes to be atomic) You might well prefer to design your data in a more normalized form, where attributes like this are stored in separate columns I don t want to get into a debate about which design is better Here I ll assume a given design that does store bitmaps with sets of ags, and I ll assume that you need to perform aggregate bitwise activities on these bitmaps I just want to introduce the techniques for cases where you do nd the need to use them.

Note that for the sake of brevity I limited the number of customers returned to two, and that filtered only even-numbered orders (where orderid modulo 2 returns 0) . The result of this query is:

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