.The Aggregate Transformation in SSIS support multiple outputs. It means Aggregate Transformation can read the data from the source for once and then we can create multiple outputs and each output may have different set of aggregations. In this article we will show to you, How to configure multiple outputs in aggregate transformation in SSIS advanced mode with example
TIP: Please refer Aggregate Transformation in SSIS article to understand the Aggregations and its functionalities.
Aggregate Transformation in SSIS Advanced Mode example
STEP 1: Open BIDS and Drag and drop the data flow task from the toolbox to control flow and rename it as Aggregate Transformation.
Double click on it and it will open the data flow tab.
STEP 2: Drag and drop OLE DB Source, Aggregate Transformation from toolbox to data flow region
STEP 3: Double click on OLE DB source in the data flow region will open the connection manager settings and provides space to write our SQL statement. Here we are using DimGeography and [FactResellerSales] present in the AdventureworkDW2014
The SQL command we used in the above screenshot to retrieve data is:
SELECT [EnglishCountryRegionName]
,[StateProvinceName]
,[City]
,[PostalCode]
,RESELLER.[UnitPrice]
,RESELLER.[ProductStandardCost]
,RESELLER.[TotalProductCost]
,RESELLER.[SalesAmount]
,RESELLER.[TaxAmt]
FROM [DimGeography]
INNER JOIN
[FactResellerSales] AS RESELLER ON
[DimGeography].[SalesTerritoryKey] = RESELLER.[SalesTerritoryKey]STEP 4: Click on columns tab to verify the columns. In this tab we can uncheck the unwanted columns also.
STEP 5: Double-click on the Aggregate transformation to open the Aggregate Transformation editor. In the upper pane we have a button to toggle between Basic and Advance Mode. In this example we want to configure multiple outputs so select the Advance mode.
Once you click on the Advance mode button new pane will be opened to configure multiple outputs.
- Aggregate Name: Specify the aggregate name.
- Group By Columns: Here it will show the list of columns we used for grouping.
Next in the lower pane we select the required columns to perform Aggregate Transformation operations by checking them in Available Input Columns.
Once you check the required columns then those column names will be appeared in the Input Column located in lower pane as shown in below figure.
From the above screenshot you can observe that, we assigning Aggregation name as COUNTRY NAME and Group by as EnglishCountryRegionName.
Let us add one more aggregation and assigning name as STATE NAME and Group by as EnglishCountryRegionName, StateProvinceName.
From the above screenshot you can observe that, We are calculating the Sum of Unit Price, Sum Product Standard Cost, Average of Total Product Cost, Minimum of Sales Amount and Maximum of Tax Amount and Group by English Country Region Then by State Province Name.
Let us add one more aggregation and assigning name as CITY and Group by as EnglishCountryRegionName, StateProvinceName, City.
From the above screenshot you can observe that, We are calculating the Sum of Unit Price, Average of Product Standard Cost, Minimum of Total Product Cost, Maximum of Sales Amount and Sum of Tax Amount and Group by English Country Region Then by State Province Name and Then by City.
STEP 6: Drag and drop 3 OLE DB destinations from toolbox to data flow region to configure the three output we get from Aggregate transformation.
From the above screenshot you can observe that, rename the OLEDB destinations to Group By Country, Group By State and Group By City
STEP 7: When you drag the Aggregate transformation output arrow to OLE DB destination an Input Output Selection window will open to select one of the output and here we are selecting COUNTRY NAME
Let us assign State name output to second OLE DB destination
We have one more output (CITY) left so, when we drag green arrow from aggregate transformation to 3rd OLE DB Destination it will automatically assigned to City.
STEP 8: Now we have to configure the OLE DB destination for the country name. So double click on the OLE DB Destination and provide the required information.
Here we are selecting [SSIS Tutorials] data base as destination data base and [Group By Country] table as destination table
STEP 9: Click on Mappings tab to check whether the aggregate source columns are exactly mapped to the destination columns.
STEP 10: Now we have to configure the OLE DB destination for the group by state aggregation output. So double click on the OLE DB Destination and provide the required information
Here we are selecting [SSIS Tutorials] data base as destination data base and [Group By State] table as destination table
Repeat Step 9 check whether the aggregate source columns are exactly mapped to the destination columns.
STEP 12: Now we have to configure the OLE DB destination for the city output rows. So double click on the OLE DB Destination and provide the required information
Here we are selecting [SSIS Tutorials] data base as destination data base and [Group By City] table as destination table
Repeat Step 9 check whether the aggregate source columns are exactly mapped to the destination columns.
Click ok to finish our package design. Let us run the package
Let us see the result of Group By English Country Region Name. For this, open the SQL Server Management studio and write the below query
SELECT [EnglishCountryRegionName]
,[UnitPrice]
,[ProductStandardCost]
,[TotalProductCost]
,[SalesAmount]
,[TaxAmt]
FROM [SSIS Tutorials].[dbo].[GROUP BY COUNTRY]
Let us see the result of Group By English Country Region Name, State Province Name
SELECT [EnglishCountryRegionName]
,[StateProvinceName]
,[UnitPrice]
,[ProductStandardCost]
,[TotalProductCost]
,[SalesAmount]
,[TaxAmt]
FROM [SSIS Tutorials].[dbo].[GROUP BY STATE]
Let us see the result of Group By English Country Region Name, State Province Name and City
SELECT [EnglishCountryRegionName]
,[StateProvinceName]
,[City]
,[UnitPrice]
,[ProductStandardCost]
,[TotalProductCost]
,[SalesAmount]
,[TaxAmt]
FROM [SSIS Tutorials].[dbo].[GROUP BY CITY]
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