WISE OWL EXERCISES
SSIS INTEGRATION SERVICES EXERCISES
- Data flow tasks (4)
- Basic data transforms (1)
- Data conversion transforms (2)
- Conditional split transforms (5)
- Lookup transforms (4)
- Looping over files (3)
- Looping over rows (2)
- Merge joins (1)
- Previous versions (18)
- Script tasks (1)
- Variables in script (1)
- Script components (2)
- Accessing file attributes (2)
SSIS Integration Services | Previous versions exercise | Use a conditional split to divide up scary rollercoasters
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You can learn how to do this exercise on the relevant Wise Owl classroom training course (sadly for the moment only in the UK).
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The aim of this exercise is to create the following data flow task (help follows!):
Here the task has paused because we're displaying a data viewer for the last step.
Here is what the final data viewer should be showing:
The start of the data viewer (we've edited it to just show 5 columns, but the order of rows may be different for your package).
To achieve this, first create a package called Coasters.
Create a data flow task which starts with an Excel source linked to the workbook in the folder above, followed by a Conditional Split transform:
See below for how the conditional split should work.
The conditional split should have 2 conditions:
|Very scary||The Speed column is more than 50.|
|Quite scary||Either the coaster's Type column is Wood, or the Design column is not Sit Down.|
|Not scary||Any other coasters failing the first two conditions (the default output).|
Be very careful to make sure that you're not making any assumptions about the case of text!
Now add 3 derived column transforms, each of which should create a column called Scariness to hold the values Very scary, Quite scary and Not scary respectively:
Note that we've converted the data type to 20 characters, otherwise we will have trouble merging the 3 Scariness columns in the next step.
Finally, add a couple of Union All transforms:
You'll need to configure the input/output columns carefully for the first transform. The only purpose of the second one is to allow us to show a data viewer for the final set of data.
Run your package and test that it works.
Final thought: was this really the quickest way to accomplish this?