In this article, we are going to explain to you the Case Sensitivity problems that occur while working with SSIS Lookup Transformation with an example. In this example, we are going to use the OLE DB Connection to connect with SQL Server.
Before you start creating your SSIS lookup case sensitivity package, Let us see the Lookup table in SQL Server and its data
Now let’s see the source data as well.
If you observe the lookup and source table, Data is the same, but they differ in Case.
TIP: Please refer to Lookup Transformation article to understand, How SSIS Lookup will Operate on Databases like SQL Server, Oracle, and DB2 servers using the OLE DB Connection Manager in SSIS.
Configuring SSIS Lookup Transformation
STEP 1: Drag and drop the Data Flow Task from the toolbox to the control flow region. And rename it as SSIS Lookup Transformation Case Sensitivity.
Double click on it will open the data flow tab.
STEP 2: Drag and drop OLE DB Source from the toolbox to the data flow region. Double click on OLE DB source in the data flow region opens the connection manager settings
From the above screenshot, you can observe that We selected [Employees] Database as a source database and [Lookup Transformation Source] as a source table
STEP 3: Click on the columns tab to verify the columns. Here, we can uncheck the unwanted columns.
Click OK and Drag the Lookup Transformation from the toolbox to the Data Flow tab.
STEP 4: Double click on the Lookup Transformation to configure the lookup table (reference table).
In the General Tab, under “Specify how to handle rows with no matching entries”. Change the default Fail Component to Redirect rows to no match Output option. By changing this option, Unmatched rows redirected to No match output. Otherwise, the Package will Fail.
Under the connection type section, we selected the OLE DB Connection Manager in SSIS because we are using the SQL Server table as a reference table. If you are using any cache file (.caw), use the Cache Connection Manager.
Click on the Connection Tab
STEP 5: If you already created the OLE DB connection manager, select from the list. Otherwise, click the New button and configure it. Here we selected Employees Database.
For this example, We are using [Lookup Table] table as the lookup table or reference table. Source data compared with the data present in this table.
TIP: We should not use the whole table as the reference table. Perhaps you should use the SQL command to select the required column name you want to reference.
STEP 6: Click on the Available Input columns. Next, drag to the available lookup columns to create a join between the 2 data sets.
The name column in the source data will check against the [Ref Name] column in the lookup table.
- If each row of the Name column in the source data matches with anyone row of the [Ref Name] column in the lookup table, that row passed to the Matched Output.
- If each row of the Name column in the source data does not match with anyone row of the [Ref Name] column in the lookup table, that row will pass to No Match Output.
Sometimes we may have some extra columns in the lookup table which we want to pass to the matched output. In these situations, we have to check-mark that column in Available Lookup Columns.
STEP 7: Drag and drop two OLE DB Destinations on to the data flow region. Next, drag the Output Arrow to this new OLE DB Destination. A pop-up window Input Output Selection appears prompting you to select the Input-Output type: either Lookup Match Output or Lookup No Match Output. Select Lookup Match Output and click OK.
When you drag another Output Arrow to OLE DB Destination 1, it automatically allocates Lookup No Match Output to it.
STEP 8: Double click on OLE DB Destination and select the OLE DB Connection manager. Next, select the [Case Matching Rows in the Lookup Transformation] table in the [Employees] Database to store the Matched Rows Data.
STEP 9: Click on the Mappings tab to check whether the source columns mapped to the destination columns.
STEP 10: Now Double click on the OLE DB Destination 1 to configure the No match output. Here we are going to select [Case Not Matching in Lookup Transformation] table in the [Employees] Database to store the Not Matched Row Data.
Repeat STEP 9 and click ok to finish creating SSIS Lookup Transformation Case Sensitivity Package.
Right-click on the SSIS Lookup Transformation Case Sensitivity Package in the Solution Explorer and select Execute Package.
Let’s open the SQL Server Management Studio to view the Matched data of SSIS Lookup Transformation Case Sensitivity package. Although, each row in the source data matching with the lookup table, it displayed only one row as match data. To get rid of these situations, use Character Map Transformation in SSIS to convert all the source data into either lowercase or uppercase.
Let’s see the Unmatched Data
From the above screenshot, all the rows which or not in the lower case treated as non-matching output.
