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Listing 7 Updating the data
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UPDATE d SET d.ColA = s.ColA ,d.ColB = s.ColB ,d.ColC = s.ColC FROM SSISIncrementalLoad_Dest.dbo.tblDest d INNER JOIN SSISIncrementalLoad_Source.dbo.tblSource s ON s.ColID = d.ColID WHERE ( (d.ColA != s.ColA) OR (d.ColB != s.ColB) OR (d.ColC != s.ColC) )
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Extract, transform, and load (ETL) theory has a lot to say about when and how to update changed data. You ll want to pick up a good book on the topic to learn more about the variations.
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Using SQL Server 2008, the new MERGE command can figure out which rows need to be inserted and which only need updating, and then perform the insert and update all within a single command. Also new in
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Incremental loads using T-SQL and SSIS
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SQL Server 2008 are the Change Tracking and Change Data Capture fea-
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tures which, as their names imply, automatically track which rows have been changed, making selecting from the source database much easier. Now that we ve looked at an incremental load using T-SQL, let s consider how SQL Server Integration Services can accomplish the same task without all the hand-coding.
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Incremental loads in SSIS
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SQL Server Integration Services (SSIS) is Microsoft s application bundled with SQL
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Server that simplifies data integration and transformations and in this case, incremental loads. For this example, we ll use SSIS to execute the lookup transformation (for the join functionality) combined with the conditional split (for the WHERE clause conditions) transformations. Before we begin, let s reset our database tables to their original state using the T-SQL code in listing 8.
Listing 8 Resetting the tables
USE SSISIncrementalLoad_Source GO TRUNCATE TABLE dbo.tblSource INSERT INTO dbo.tblSource (ColID,ColA,ColB,ColC) VALUES(0, 'A', '1/1/2007 12:01 -- insert a "changed" row INSERT INTO dbo.tblSource (ColID,ColA,ColB,ColC) VALUES(1, 'B', '1/1/2007 12:02 INSERT INTO dbo.tblSource (ColID,ColA,ColB,ColC) VALUES(2, 'N', '1/1/2007 12:03 USE SSISIncrementalLoad_Dest GO TRUNCATE TABLE dbo.tblDest INSERT INTO dbo.tblDest (ColID,ColA,ColB,ColC) VALUES(0, 'A', '1/1/2007 12:01 INSERT INTO dbo.tblDest (ColID,ColA,ColB,ColC) VALUES(1, 'C', '1/1/2007 12:02
Insert unchanged row
AM', -1)
Insert changed row
AM', -2)
Insert new row
AM', -3)
Insert unchanged row
AM', -1)
Insert changed row
AM', -2)
With the tables back in their original state, we ll create a new project using Business Intelligence Development Studio (BIDS).
Creating the new BIDS project
To follow along with this example, first open BIDS and create a new project. We ll name the project SSISIncrementalLoad, as shown in figure 1. Once the project loads, open Solution Explorer, right-click the package, and rename Package1.dtsx to SSISIncrementalLoad.dtsx.
Incremental loads in SSIS
Creating a new BIDS project named SSISIncrementalLoad
When prompted to rename the package object, click the Yes button. From here, follow this straightforward series:
From the toolbox, drag a data flow onto the Control Flow canvas. Double-click the data flow task to edit it. From the toolbox, drag and drop an OLE DB source onto the Data Flow canvas. Double-click the OLE DB Source connection adapter to edit it. Click the New button beside the OLE DB Connection Manager drop-down. Click the New button here to create a new data connection. Enter or select your server name. Connect to the SSISIncrementalLoad_Source database you created earlier. Click the OK button to return to the Connection Manager configuration dialog box. Click the OK button to accept your newly created data connection as the connection manager you want to define. Select dbo.tblSource from the Table drop-down. Click the OK button to complete defining the OLE DB source adapter.
Defining the lookup transformation
Now that the source adapter is defined, let s move on to the lookup transformation that ll join the data from our two tables. Again, there s a standard series of steps in SSIS:
Drag and drop a lookup transformation from the toolbox onto the Data Flow canvas.
Incremental loads using T-SQL and SSIS
Connect the OLE DB connection adapter to the lookup transformation by clicking on the OLE DB Source, dragging the green arrow over the lookup, and dropping it. 3 Right-click the lookup transformation and click Edit (or double-click the lookup transformation) to edit. You should now see something like the example shown in figure 2. When the editor opens, click the New button beside the OLE DB Connection Manager drop-down (as you did earlier for the OLE DB source adapter). Define a new data connection this time to the SSISIncrementalLoad_Dest database. After setting up the new data connection and connection manager, configure the lookup transformation to connect to dbo.tblDest. Click the Columns tab. On the left side are the columns currently in the SSIS data flow pipeline (from SSISIncrementalLoad_Source. dbo.tblSource). On the right side are columns available from the lookup destination you just configured (from SSISIncrementalLoad_Dest.dbo.tblDest). We ll need all the rows returned from the destination table, so check all the check boxes beside the rows in the destination. We need these rows for our WHERE clauses and our JOIN ON clauses. We don t want to map all the rows between the source and destination only the columns named ColID between the database tables. The mappings drawn between the Available Input columns and Available Lookup columns define the JOIN ON clause. Multi-select the mappings between ColA, ColB, and ColC by clicking on them while holding the Ctrl key. Right-click any of them and click Delete Selected Mappings to delete these columns from our JOIN ON clause, as shown in figure 3.
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