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The database engine has grouped all the sparse columns sets in an XML format. This behavior leads to some interesting capabilities. If you wanted to return the entire result set as XML, you could issue SELECT * FROM Products FOR XML AUTO. This would yield the following result: <Products product_id="1" product_name="Really nice kayak"> <sparsePropertySet> <product_type>kayak</product_type> <length>3</length> <color>blue</color> </sparsePropertySet> </Products> <Products product_id="2" product_name="Rusty Bike"> <sparsePropertySet> <product_type>bicycle</product_type> <size>mens</size> <color>red</color> </sparsePropertySet> </Products> <Products product_id="3" product_name="Stud Shirt"> <sparsePropertySet> <product_type>shirt</product_type> <size>XL</size> <color>white</color> <fabric_type>80% cotton/20% polyester</fabric_type> </sparsePropertySet> </Products> <Products product_id="4" product_name="Kozy Kayak"> <sparsePropertySet> <product_type>kayak</product_type> <length>1</length> <color>white</color> </sparsePropertySet> </Products> <Products product_id="5" product_name="Bargin Bike"> <sparsePropertySet> <product_type>bicycle</product_type> <size>womens</size> <color>pink</color> </sparsePropertySet> </Products> <Products product_id="6" product_name="Porus Shirt"> <sparsePropertySet> <product_type>shirt</product_type> <size>L</size> <color>black</color> <fabric_type>100% cotton</fabric_type> </sparsePropertySet> </Products>

What is most interesting about the behavior of SELECT and column sets is that you can issue direct queries to the columns and not have to worry about the underlying XML. For example, you can issue a statement that directly queries the columns in the column set. For example, you could issue this statement: SELECT product_name,size,color FROM Products WHERE product_type='bicycle' and get these results: product_name Rusty Bike Bargin Bike size mens womens color red pink

$ printf "%s\n" 1 2 3 4 5 6 7 | topntail -b0 -e4 1 2 3 The Script b=1 e=1 ## No. of lines to remove from beginning ## No. of lines to remove from end

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As with sparse columns, an Is_Column_Set bit is exposed through the sys.columns, sys.all_ columns, sys.system_columns, sys.computed_columns, and sys.identity_columns catalog views. This bit will identify whether the column is a column set. Although SQL Server 2008 introduces only one column set per table, it is easy to see the value of these sets when tables have a large number of columns. In future versions of SQL Server, most likely further investments will be made to column sets and sparse columns to allow developers even more flexibility in their database application designs and implementations.

Summary

## Parse command-line options while getopts b:e: opt do case $opt in b) b=$OPTARG ;; ## Number of lines to remove from beginning e) e=$OPTARG ;; ## Number of lines to remove from end esac done shift $(( $OPTIND - 1 ))

this class, which enables you to load the form resources with Zend_Loader_Autoloader rather than manually including each file (Listing 3-5). Listing 3-5. The Base Form_BugReportForm Class in application/forms/BugReportForm.php < php class Form_BugReportForm extends Zend_Form { }

The end user is the ultimate consumer of our work, whether we are system administrators or developers. Their satisfaction with our products and services usually depends on how quickly the application that accesses the database can respond. SQL Server has continued to answer performance challenges that face both system administrators and developers with each new release of the product. SQL Server 2008 is no different. The features and functionality discussed in this chapter will be a welcome addition to address your performance needs and concerns.

case $b$e in ## check for non-numeric characters in $b and $e *[!0-9]*) exit 5 ;; esac if [ $e -eq 0 ] then sed "1,${b}d" "$@" ## just remove from the top else ## The buf[] array is a rotating buffer which contains the last N lines ## where N is the number of lines to be removed from the bottom of the file ## Printing starts when the line number is equal to the sum of the number ## of lines to be removed from top and bottom, and continues to the end ## of the file; the earliest line in the buffer is printed. ## The last N lines will not be printed. awk 'NR > b + e { print buf[ NR % e ] } { buf[ NR % e ] = $0 }' b=$b e=$e "$@" fi

since databases used for analytical processing tend to have many repeating and null values. Thus, this feature could have also been discussed in the chapter that covers Analysis Services ( 20). This book is based on the feature-complete February community technology preview (CTP) release of SQL Server 2008. As with any product that is not shipped, there may some minor changes in the user interfaces shown in this book s screenshots by the time the final version is released.

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