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You may combine wildcards to create even more elaborate patterns. Remember that the percent sign (%) replaces any number of characters, the underscore (_) replaces one character, and the square brackets ([]) replace one character based on the values within the brackets. Listing 2-13 demonstrates some examples. Type in and execute the code to see how this works. Listing 2-13. Combining Wildcards in One Pattern USE AdventureWorks2008; GO --1 SELECT LastName FROM Person.Person WHERE LastName LIKE 'Ber[r,g]%'; --2 SELECT LastName FROM Person.Person WHERE LastName LIKE 'Ber[^r]%'; --3 SELECT LastName FROM Person.Person WHERE LastName LIKE 'Be%n_'; View Figure 2-11 to see the results. Query 1 returns all rows with a last name beginning with Ber followed by either r or g (which is signified by the characters within the brackets) and then by any number of characters. Query 2 returns all rows with a last name beginning with Ber followed by any letter except for r and then by any number of characters. Query 3 returns all rows with a last name beginning with Be followed by any number of characters, except that the next-to-last character must be an n.

Fortunately, XML itself and XML documents are the things you ll work with most of the time. They aren t hard to understand.

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The following script contrasts float and decimal data types to indicate how a decimal data type can return a precise value for a computation for which a float data type returns an approximate value. Four local variables (@dec1 @dec4) are declared, with a decimal data type having four places to the right of the decimal and a total of 15 digits. This matches the number of digits for float data type accuracy. Four local variables (@float1 @float4) are also declared with a float data type. The script computes the difference between the quotient of 7 divided by 10 less .0001. The computation demonstrates the contrasting results from float and decimal data types. The script generating the following listing is available as Ch04FloatDecimal.sql. SET NOCOUNT ON DECLARE @float1 float, @float2 float, @float3 float, @float4 float DECLARE @dec1 decimal(15,4), @dec2 decimal(15,4), @dec3 decimal(15,4), @dec4 decimal(15,4) DECLARE @pointseven decimal(15,4) SET @float1 = 7 SET @float2 = 10 SET @float3 = .0001 SET @float4 = @float1/@float2 - @float3 SET @dec1 = 7 SET @dec2 = 10 SET @dec3 = .0001 SET @dec4 = @dec1/@dec2 - @dec3 SET @pointseven = .7 SELECT @float4 '@float4', @float3 '@float3', @pointseven - @float4 'float diff' SELECT @dec4 '@dec4', @dec3 '@dec3', @pointseven - @dec4 'dec diff' The following listing shows the difference between the float and the decimal results. The preceding script compares each difference with a local variable named @pointseven that is equal to .7. This local variable has a decimal data type. The decimal difference is precisely .0001. The float difference is approximately .0001, that is, 9.9999999999989E 05. @float4 @float3 float diff ---------------------- ---------------------- ---------------------0.6999 0.0001 9.9999999999989E-05 @dec4 @dec3 dec diff ---------------------- ---------------------- ---------------------0.6999 0.0001 0.0001

An XML document could be a physical file on a computer, a data stream over a network (in theory formatted so a human could read it, but in practice often in compressed binary form), or just a string in memory. However, it has to be complete in itself, and even without a schema it must obey certain rules. The most fundamental rule is that XML documents must be well-formed. At its simplest, this means that overlapping elements aren t allowed, so you must close all child elements before the end tag of their parent element. For example, the following XML document is well formed:

A sequence of 1 or more bytes is a byte stream. SQL Server Express can decode a byte stream to characters, such as letters, numbers, and symbols, or it can just save and retrieve a byte stream without decoding the byte(s). Two common ways for decoding byte streams are with a character code set based on a code page or with a Unicode character set. Decoded byte streams from a database frequently contain names, such as student names or class titles. Binary byte strings are saved and retrieved as raw byte values. A client application, such as a graphics viewer, can decode a binary byte stream into an image.

Figure 2-11. The results of queries with multiple wildcards You will probably find LIKE used frequently in queries, so it is important to understand how it works. Practice the skills you have just learned by completing Exercise 2-3.

A code page is a mapping that translates byte values to characters. There are many code pages associated with different languages and locales. Just as a single code page maps byte values to characters for a single language and locale, a Unicode character set maps byte values to characters for all modern languages. There is more than one Unicode character set. SQL Server Express uses the UCS-2 Unicode standard.

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