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3. Double-click the Script task. 4. Change the Name field to Merge Files (see Figure 14-33).

Call the BeginDialog method on the Service to start the conversation This returns a Conversation object 3 Create a Message object to represent the message that you want to send 4 Call the Send method of the Conversation, passing in the Message object..

Figure 14-33. Script Task Editor dialog box 5. In the left navigation pane, select Script. 6. Click the Design Script button. 7. In the Imports area of the script, add the following line: Imports System.IO This will allow you to access file streaming functionality. 8. Within the Public Sub Main(), add the following code: Public Sub Main() Dim sw As StreamWriter Dim variables As Variables 'Check for the existence of the FileName variable If Dts.VariableDispenser.Contains("FileName") = True Then Dts.VariableDispenser.LockOneForRead("FileName", variables) Dim FileName As Object = variables("FileName").Value End If 'Populate the source variable with the FileName variable value Dim source As String = variables("FileName").Value.ToString

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'The name and location of the merged error log Dim dest As String = "c:\Apress\MergedErrorLog.txt" ' Creates the MergedErrorLog.txt file if it doesn't already exist If File.Exists(dest) = False Then ' Create a file to write to. sw = File.CreateText(dest) sw.Flush() sw.Close() End If ' Creates a visual divider within MergedErrorLog.txt between file data sw = File.AppendText(dest) sw.WriteLine("----------------------------------------") sw.Flush() sw.Close() ' Opens the current file and writes it into MergedErrorLog.txt Dim sr As StreamReader = File.OpenText(source) Dim s As String sw = File.AppendText(dest) Do While sr.Peek() >= 0 s = sr.ReadLine() sw.WriteLine(s) Loop sr.Close() sw.Flush() sw.Close() Dts.TaskResult = Dts.Results.Success End Sub This code is commented so you can better understand what it does. In a nutshell, the script grabs the value of the FileName variable (which will be populated by the Foreach Loop container task). This is the file that will be combined into the single C:\Apress\MergedErrorLog.txt file. 9. Select File Save to save the script. 10. Select File Close and Return. 11. Click OK to exit the Script task.

The column is not used in the lookup and is passed through to the output. The column is used only by the lookup operation. The column is used by the lookup operation and is also passed through to the output.

So, first we create the Service: Service client = new Service( "http://schemasapresscom/sqlassemblies/StatsRequestService", cn, null); The Service constructor takes three parameters: the name of the service (this is the name that we assign the service when we create it as a database object in T-SQL); the connection to the database that the service resides in (in our case, this is the context connection); and a SqlTransaction object representing the transaction that conversations on this service will belong to (we pass in null here, as we re only going to send one message and then close the conversation) Next, we begin the dialog: Conversation conv = clientBeginDialog( "http://schemasapresscom/sqlassemblies/StatsProcessorService", "http://schemasapresscom/sqlassemblies/StatsServiceContract", TimeSpan.

This example assumes that you are merging log files not currently open in other processes. Since you are merging SQL Server log files, if the SQL Server service is running, one of these log files will, of course, be running. To test this, one option is to copy off the inactive log files to a separate location and then merge them accordingly. For the clarity of this example, however, the script merges all files directly from a single directory of a SQL Server instance that is not currently running.

1 input, 1 output, 1 error output Everything I wrote about the Pivot task is also true here, except in reverse of course with some of the options removed. This task essentially encapsulates the functionality of an unpivot query in SQL. An unpivot query increases the normalization of a less-normalized or denormalized data set by rotating the data back around a central point a value. I ll take you through an example that performs the reverse operation from the one I explained with the Pivot query. It uses the AdventureWorks sample database again. The following query is the source for this operation: SELECT 'Total Sales' AS TotalSales, [Europe] as Europe, [NorthAmerica] as

12. Select Debug and Start to test the package (see Figure 14-34).

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