Create values for analogous periods in the same table with DS

Hi,
in the course of a pilot we want to create additional columns with data for analogous periods.
We have values for a month and need to create new columns for values for last month and last year in order to compare.
Attached youu2019ll find a few sample rows resembling the basic concept of what we have
Region     Country     Year     Month     Value
Europe     Spain     2009     1     285
Europe     Spain     2009     2     129
Europe     Spain     2009     3     153
Europe     Spain     2008     1     288
Europe     Spain     2008     2     284
Europe     Spain     2008     3     125
Europe     France     2009     1     135
Europe     France     2009     2     125
Europe     France     2009     3     284
Europe     France     2008     1     208
Europe     France     2008     2     221
Europe     France     2008     3     220
In this case, new columns would be
LastMonth (125 for Spain month 1 year 2009, since this is the value for month 3 year 2008)
LastYear (288 for Spain month 1 year 2009, since this is the value for month 1 year 2008).
Can you help on what function to use in the DS query transformation?
thanks everybody, and enjoy!

Hi David,
Probably the easiest way of resolving this would be to add extra columns which show the projected date each row should be shown on e.g.
Region     Country     Year     Month     Value     LM_Year     LM_Month     LY_Year     LY_Month
Europe     France     2008     1     208     2008     2     2009     1
Europe     France     2008     2     221     2008     3     2009     2
Europe     France     2008     3     220     2008     4     2009     3
Europe     France     2009     1     135     2009     2     2010     1
Europe     France     2009     2     125     2009     3     2010     2
Europe     France     2009     3     284     2009     4     2010     3
This would be written to a staging table then used as a source with the original source file to produce the target table. I've illustrated an example of how this could be achieved below:
Create two dataflows; DF 1 and 2.
In DF 1 read source, add additional columns to show the date (year, month, etc) this should be projected as. This would need to be done for both the last month and last year. Load staging table.
In DF 2 Read the source and outer join to the new staging table twice. Use the region, Country, Year, Month, to join and use the new additional projected date columns. Ensure the last month date fields are used on one staging table and last year date fields are used on the next staging table. The value from the two staging tables is then used in the last month and last year value.
Load into target table.
To calculate the projected date columns you would probably want to format the source fields into a date then add the required number of months. e.g. to_date('01' || month || year, 'DDMMYYYY') + 12
Obviously this would need the stage table to be truncated before each load and you would need to assess your load strategy. When doing these calculated fields if you have any retrospective updates on the source then these would then need recalculating, therefore this assumes it's a complete reload each time.
Edited by: Richard Saltern on Jul 16, 2010 2:01 PM
Edited by: Richard Saltern on Jul 19, 2010 10:10 AM

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