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In this first bulk copy exercise, you will load all the records from the Customers table into a DataReader and then copy them into the CustomerHistory table using the SqlBulkCopy object. 1. Create a new Windows application and name it BulkCopySample. 2. Add a button to the form and set the following properties:

[SecurityRole("Guest",true)]

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You can use the following questions to test your knowledge of the information in Lesson 2, Making Implicit Constraints Explicit. The questions are also available on the companion CD if you prefer to review them in electronic form.

Web site name: www.northwindtraders.com Organization: Northwind Traders Organizational Unit: IT Location: Woburn, MA

Allowed backup folders are listed in the AllowedBrowsingFolders advanced server property. The default backup folder is \Program files\Microsoft SQL Server\MSAS10.MSSQLSERvER\ oLAP\Backup, as specified by the BackupDir server property. If you want to save the backup file to a different folder, add that folder to the AllowedBrowsingFolders server property. use a semicolon as a delimiter. you can specify local folders only.

' VB Class MyComparer(Of T) Inherits Comparer(Of T) Public Overrides Function Compare(ByVal x As T, ByVal y As T) _ As Integer Return (x.GetHashCode - y.GetHashCode) End Function End Class // C# class MyComparer<T> : Comparer<T> { public override int Compare(T x, T y) { return x.GetHashCode() - y.GetHashCode(); } }

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Further analysis determined that more than 80 percent of the total resources being consumed processor, memory, input/output (I/O) were involved in this conversion process We created a simple test database that converted all the datetime columns into integers, along with stripping out all the conversion code, and then ran several tests Queries that took seconds dropped to 50 millisec onds or less Queries that took minutes dropped to a few seconds In the most extreme case, a batch process that ran several times per day and could take as much as four hours in a given run now took less than five minutes to finish, regardless of the amount of data needing to be processed.

figure 1-21 The OLE DB Source Editor displays that the DimPromotions package is configured to select data from the [Sales].[SpecialOffer] table.

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Unfortunately, the application is still deployed with the data being stored in datetime columns and it is still spending 80 percent or more of the total resources consumed, converting this into a useable value for the application It couldn t be changed because it would require a complete rewrite of more than 80 percent of the stored procedure code, along with affecting almost 100 percent of the tables in the database Then there is also the larger issue of the database being for a packaged application, and customers had four different versions of the application running their businesses Saying that the choice of a data type for a table really doesn t matter because stor age space is cheap really makes us wonder just how long it will take for perfor mance to become a problem (and a problem whose root cause can t be fixed because of business constraints).

Figure 11-31

12-1

Although disk space is reasonably inexpensive and essentially limitless, all the data still has to be moved through memory and processors, and there is a maximum amount of memory and processors that cur rent hardware can support Every byte that is wasted when data is stored need lessly consumes a byte of memory along with processor cycles when it is processed, although a single byte here or there won t affect anything Losing a single byte per row in a table that contains millions of rows of data adds up quickly to memory pressure and high processor utilization..

The input parameters enable you to accept external values that you can then use as arguments in the queries declared inside the XML view. The queries inside an XML view can be of two types: XPATH queries, which are executed over an annotated XSD schema, or Transact-SQL queries that use the FOR XML expression. You can write any number of queries inside the XML view, and different queries can fill in different sections of the resulting XML structure. The following sample XML view combines all these features:

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min_physical_reads Returns the minimum number of physical reads that this plan has ever performed during a single execution.

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