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Using SQL Server 2005 Integration Services : Programming Integration Services (part 4) - Connecting the Source and Destination Adapters with a Path

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Connecting the Source and Destination Adapters with a Path

To connect the OLE DB source and destination adapters, we need to create a new path in the data flow:

// Create a new path object
IDTSPath90 path = pipeline.PathCollection.New();

Next we need to connect the standard output (that is, non-error output) of the source adapter with the input of the destination adapter:

// Get the standard output of the OLE DB Source adapter
IDTSOutput90 oledbSourceOutput = oledbSourceMetadata.OutputCollection["OLE DB Source Out
put"];

// Get the input of the OLE DB Destination adapter
IDTSInput90 oledbDestinationInput =
oledbDestinationMetadata.InputCollection["OLE DB Destination Input"];

// Connect the source and destination adapters
path.AttachPathAndPropagateNotifications(oledbSourceOutput, oledbDestinationInput);

					  

More Info

Why are notifications needed when AttachPathAndPropagateNotifications is used? The answer is that some components must react to their input or output being attached or detached by updating their component metadata. For example, a component such as the Multicast that supports multiple outputs might start with only one output after ProvideComponentProperties is called. When the user indicates that he wants to use that output by attaching it, the component can respond by adding a new output to bring its number of outputs to two. If that output is attached as well, the component can respond by adding yet another output. This mechanism is one way for the user to interactively tell the component how many outputs the user wants the component to support. Components respond to AttachPathAndPropagateNotifications using methods on the design-time interface called OnInputPathAttached and OnOutputPathAttached.


Caution

As mentioned earlier regarding the runtime connection collection, instead of accessing the input and output collections using an integer index, we use the names of the input and output, which were set when the input and output were added by the adapters during ProvideComponentProperties. This is less susceptible to error for components with more than one input or output. For the OLE DB source adapter, which has a standard output for the data and an error output, we want to make sure that we don’t attach a path from the error output instead of the standard output; if we use an index of 0 to get the standard output, we might get the error output instead.


Once the path has been set up and the two adapters attached, we can use the output columns of the source adapter to create the input columns of the destination adapter. In our sample, we do this as follows:

// Get the output column collection for the OLE DB Source adapter
IDTSOutputColumnCollection90 oledbSourceOutputColumns =
oledbSourceOutput.OutputColumnCollection;

// Get the external metadata column collection for the OLE DB Destination adapter
IDTSExternalMetadataColumnCollection90 externalMetadataColumns =
oledbDestinationInput.ExternalMetadataColumnCollection;

// Get the virtual input for the OLE DB Destination adapter.
IDTSVirtualInput90 virtualInput = oledbDestinationInput.GetVirtualInput();

					  

The virtual input is used to access a component’s virtual input column collection. This collection contains columns that are based on all the upstream columns that can be used to create the component’s input columns. Many component UIs in the data flow designer also use virtual columns to show the possible columns that can be selected as input columns. In our sample, the virtual input column collection created with the OLE DB destination adapter’s input will contain two columns, which are based on the two columns originating from the OLE DB source adapter.

// Loop through our output columns
foreach (IDTSOutputColumn90 outputColumn in oledbSourceOutputColumns)
{
     // Add a new input column
    IDTSInputColumn90 inputColumn =
oledbDestinationComponent.SetUsageType(oledbDestinationInput.ID,
virtualInput, outputColumn.LineageID, DTSUsageType.UT_READONLY);

     // Get the external metadata column from the OLE DB Destination
     // using the output column's name
    IDTSExternalMetadataColumn90 externalMetadataColumn = externalMetadataColumns[outputColumn.Name];

     // Map the new input column to its corresponding external metadata column.
    oledbDestinationComponent.MapInputColumn(oledbDestinationInput.ID, inputColumn.ID, externalMetadataColumn.ID);
}

					  

Now we need to loop through the output columns from the OLE DB source adapter. For each output column, we first use its LineageID to set the usage type of a virtual input column to read-only, which effectively adds an input column to the OLE DB destination adapter and maps it to that output column. To understand how this works, we first need to understand what an input column’s usage type is. Usage type is a property on input columns that indicates how the columns are used in the data buffer. By using UT_READONLY, we indicate to the data flow engine that the data for those input columns will be read but not modified by the component. If you use UT_READWRITE instead of UT_READONLY, our sample will still work. However, it is good practice to set the usage type correctly so the data flow engine can make the best optimization when planning its buffer usage for execution. Using the output column’s lineage ID, the SetUsageType method can find the virtual input column associated with that output column. Then the method will create an input column for the component, set its usage type, and map it to the output column by setting its lineage ID property.

More Info

Once an input column has been created using SetUsageType, how can the column be removed? To remove the column, call SetUsageType with a usage type of UT_IGNORED.


More Info

For output columns, the LineageID is the same as its object ID because output columns are the source of their own data.


After calling SetUsageType to create the input columns, we now need to associate the input column columns with the external metadata columns that the OLE DB destination adapter created when its ReinitializeMetaData method was called. We do this by calling the MapInputColumn method, which sets the input column’s ExternalMetadataColumnID property to the object ID of its associated external metadata column. That property is generally how both input and output columns are associated with external metadata columns.

With that last step, our data flow construction is complete. You can save the package programmatically and then open it in the Integration Services designer to view what we created:

// Save the package
Application application = new Application();
application.SaveToXml(@"c:\OLEDBTransfer.dtsx", package, null);

Although our sample uses only two components, we can construct other, more complex data flows containing more components by following this pattern. Figure 2 shows our package executed in the designer.

Figure 2. Loading and executing our programmatically constructed data flow in the designer
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