code 128 algorithm c# Developing SSIS Packages in Visual C#.NET

Generating Code128 in Visual C#.NET Developing SSIS Packages

Developing SSIS Packages
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using Transformations
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Each transformation has an editor window to define the way the operation is applied to the data. For example, the Derived Column Transformation specifies an expression that generates a new column in the data flow or replaces an existing column. To open the Transformation Editor, either double-click the transformation or right-click the transformation and then click Edit. Figure 1-26 shows the Derived Column Transformation Editor.
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figure 1-26 The Derived Column Transformation Editor specifies how the data is manipulated as it flows through a transformation.
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In the Derived Column example in Figure 1-26, one of the new columns added to the data flow is named FullName, which is based on the concatenation of the FirstName column and the LastName column using the following SSIS expression:
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[FirstName] + " " + [LastName]
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Other transformations contain similar functionality. Each transformation has an editor specific to the chosen operation.
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Lesson 3: Using Data Flow Adapters and Transformations
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The next example uses the Slowly Changing Dimension Transformation in the DimPromotion package to identify new records versus updated records. Figure 1-27 shows the data flow that results.
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figure 1-27 The Slowly Changing Dimension Transformation sends rows out multiple outputs depending on whether there is a new record or a change and on what kind of change.
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Figure 1-27 shows the output of the Slowly Changing Dimension Transformation. All the output transformations and destinations were created by the Slowly Changing Dimension Wizard, which built the rest of the data flow. Figure 1-28 shows the Slowly Changing Dimension Columns page of the wizard, which defines which dimension columns should cause what kind of change to the output. The options are Fixed Attribute, which means the change should not happen; Changing Attribute, which means that an update happens; or Historical Attribute, which means that the change creates a new record. A detailed review of all the SSIS transformations is outside the scope of this Training Kit, but you can find information about them in the References section at the end of this book.
Developing SSIS Packages
figure 1-28 The Slowly Changing Dimension Wizard lets you define what kind of output should be cre-
ated depending on the kind of change that occurs.
Pr actice
creating simple and complex Data flows
These exercises walk you through creating data flows that include sources, destinations, and one or more transformations. You will begin with a rather simple data flow but will then build a more complex data flow.
e xercise 1
Create a Simple Data flow
In this exercise, you will develop a simple data flow that contains a source adapter, an Aggregate Transformation, and a destination adapter.
If necessary, start SQL Server Business Intelligence Development Studio (BIDS), open the project TK 70-448 SSIS Project you created in Lesson 2, Creating and Editing Control Flow Objects, or open the completed exercise file from the companion CD, and then open the MyPackage.dtsx package for editing. On the Control Flow tab of the SSIS Designer, drag Data Flow Task from the toolbox into the Sequence Container object. The Sequence Container object should now include an Execute SQL Task named Update ProductLine and a Data Flow Task object.
Lesson 3: Using Data Flow Adapters and Transformations
Drag the output arrow from the Update ProductLine Task onto the Data Flow Task object. The output arrow is green, which means it represents a precedence constraint; see 3 for more information about precedence constraints. Click the Data Flow tab at the top of the SSIS Designer. In the toolbox, drag OLE DB Source, located under the Data Flow Sources group, onto the data flow workspace. Right-click the OLE DB Source item and then click Edit to open the OLE DB Source Editor dialog box. Select AdventureWorks2008 in the OLE DB Connection Manager list and then click OK. From the Data Access Mode drop-down list, select SQL Command. In the SQL Command text box, type the following query (available in the SQLCommandQuery.sql file in the ..\Source\Ch 01\ folder for the practice exercises):
SELECT SH.OrderDate, SD.LineTotal, P.ProductLine FROM Sales.SalesOrderHeader SH INNER JOIN Sales.SalesOrderDetail SD ON SH.SalesOrderID = SD.SalesOrderID INNER JOIN Production.Product P ON SD.ProductID = P.ProductID
4. 5.
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Click the Columns tab on the left, and then verify that the OrderDate, LineTotal, and ProductLine columns are shown as available columns in the source adapter. Click OK in the OLE DB Source Editor dialog box. From the Data Flow toolbox, drag an Aggregate Transformation onto the Data Flow design surface, just below the OLE DB Source adapter. Link the OLE DB Source output to the Aggregate Transformation by dragging the green output arrow onto the Aggregate Transformation. Edit the Aggregate Transformation by double-clicking it or by right-clicking it and then clicking Edit.
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