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SSIS INTEGRATION SERVICES EXERCISES
Exercise: Review existing lookup transform, and possibly extend
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If you have spare time on your hands, get this pre-written package working, analyse it to see if you understand what it's doing ... and even try extending its scope!
If you're ambitious, you could even try reading down the description of what the package does, and then try to recreate it from scratch yourself ...
The above folder contains a text file containing the first 5 hours of visits to the Wise Owl website on a particular date (all genuine data!):
The first few rows of the text file.
The exercise aims to create a table of IP addresses referenced:
Each IP address appears once and once only.
The package should then create a final table of web visits:
The package should store the number of the IP address record. Only HTML files are counted.
To start, redirect the flat file connection manager to point to the text file in the above folder:
Double-click on this connection manager to edit it, and point it to the right text file.
There are a lot of other settings changed for this which might be worth reviewing, particularly on the Advanced tab.
You also need to run the SQL script in the above folder to generate the skeleton structures for the tables needed.
Here's what the first data flow task in this package does:
- Deletes all the records from all tables to reset ground zero.
- Imports the text file.
- Combines the date and time given into a single date/time field type.
- Strips out URLs whose names don't end with .HTM or / (ie images, style sheets, etc.).
- Looks up the IP addresses in the table tblIpAddress. Any IP addresses not found are added to this table, via a Sort transform (which removes any duplicates).
- Reunites all rows (those for which IP addresses were found, and those for which IP addresses weren't).
- Stores these rows in a temporary staging table.
The second data flow task just exports the rows from the staging table to the final table, looking up the IP addresses in the (now complete) IP address table as it does so.
If you have time on your hands, you could always try extending the package to store the unique URLs visited in a separate table, and then store the unique URL record number for each web visit, rather than the URL text.