Step by Step SSIS - Conditional Split Transformation TIP #117

In the series of Zero to Hero in SSIS this is our next post. In this post we will see Conditional Split transformation.

I am pretty much sure that by the name you got some impression what it would be.

So, a Conditional Split Transformation is a way by which you can conditionally split an input into multiple output.

Suppose, You are a food supplier and you cook both veg & non veg food. Now according to orders by client you need to move those order requests to particular kitchen to prepare those orders.

Let’s understand it by following step by step execution example.

In this example , I am using AdventureWorks database as a source database connection. We are fetching products along with categories. We need Bikes products in different file and rest other product in different file. You can see products with categories shown below in this image Accessories , bikes are the categories.

Step 1:- Create a  new package and drag drop data flow task control and double click it. You will get a new screen which data flow task. Now drag drop Source Assistance. from SSIS controls tool bar.

Now as usual we have to configure the database connection string and set the database to adventureworks.

Step 2:- Once the database is configured right click on control and choose edit property. You will get below screen where you need to specify the query which we shown earlier in figure.

Once you done with above steps you need to configure columns as well so, click on Columns and configure it.

Step 3:- Now drag drop conditional split and connect input arrow to it as shown in figure

Step 4:- Now choose edit option by right clicking the conditional split and configure it.  When you click you will get screen like below. You will find different condition operator. One important point to remember here you need to drag drop column name to condition textbox.  As our aim is to have product with Bikes category in a different file and other categories in different file.So we use following condition as shown in below figure.

Step 5:-Now drag drop a flat file destination and assign the output of the above conditional split to File destination. You will get following screen. As you see we are assigning Bike condition output to this file which means all the products which belongs to bikes categories should be available in this.

Step 6: Now Configure the flat file destination by choosing the edit option.

 

Step 7:- In similar way we have to capture the output which not belongs to Bikes category as shown in below figure

Step 8: In nutshell we will get following screen

We almost done here. Now to check whether this conditional split is working or not. To check this hit F5 or run the package. So, if you see below everything working fine. We got 32 rows in bike category and 73 rows in other categories.

To cross check result we will see the file output as well

So , If you  go through all the above steps we have achieved Conditional split example.

I hope this post might help you to understand conditional split.

In next step we will go for next step in SSIS.

Enjoy !!!

RJ!!!

Step by Step SSIS learning What Data Conversion use in SSIS ? TIP#116

Dear Friends,

In the series of step by step learning of SSIS this is part #6 in which we are going to learn a new control Data Conversion.  I am sure by the name it clear that this control will be use when we require data type conversion of input columns then we need this control. This is exactly same like CONVERT  or CAST  in our programming.

Although, Here it would be important to share SSIS also have data type which are similar to other programming or database’s data types

Like DT_NUMERIC is equivalent to numeric data type, DT_I2 is equivalent to smallint, DT_str is equivalent to VARCHAR and so on.

I am sure you will find this control fairly simple so without wasting much time lets start step by step.

For a change I am using excel data source here.

Suppose, we have an excel of sales order which have columns like sales order, subtotal,Tax amount, and freight.

Here sales order is varchar, while SubTotal , Tax amount & Freight are numeric with decimal 4 places. We want to convert the numeric field in integer and want result in a flat file. so let’s start.

Step1 :- Drag drop a Data flow Task control and double click it. Now add an excel data source from SSIS tool bar as shown in below figure.

Step 2:- Now next step is to configure this excel source. so to do this just right click and use EDIT option. You will get a screen where you need to provide the file which we want to access.

Once the connection with excel is established the Next very important step is to configure sheet as highlighted in below figure. remember you need to configure this sheet because an excel may have number of sheets available so you need to assign proper sheet whose data you want to process.

Step 3: Once the sheet is configured you can choose the columns as well which you want to process or want in destination by click column’s option in as shown in below figure

Step 4:- Now drag drop the data conversion control from SSIS toolbar

Step 5:- Now , open context menu and click edit button to configure data conversion. Now remember here we have to change data from numeric to integer (As discussed earlier our aim). so just change the desire data type which is integer (DT_I4) of all the three numeric data type. As shown in below figure. Also , point to remember here if when you do data type conversion you need to careful about Aliasing also. You will see copy of as a prefix on column.

Step 6:- Now, we need this output in flat file so adding a file destination control from SSIS toolbox and configuring it by clicking Edit button as shown in below figure.

Step 7:- In next step we have to configure the file location and columns which we require in the flat file. And delete unnecessary columns which are not required.

Step 8 : Once the above step is done, we are good to go to run this package. So,hold your breath for few second and hit F5 .

You will get find below screen. Which shows that all the provided rows are inserted in file. 

Step 9 : To cross check whether file has integer columns or not lets open it.

So, if you see above screen we did it successfully. So we achieved our goal in this post and used DATA conversion control successfully.

I hope you feel this post useful.

Thanks for reading this post.

Enjoy !!!

RJ