I have this table in Pentaho.
YYYYMM Value Counts 201701 InSTOCK 10 201702 InSTOCK 5 201703 InSTOCK 2 201704 InSTOCK 4 201702 newstock 4 201703 newstock 8 201704 newstock 8 201701 reserve 3 201702 reserve 3
I would like to have my data like this
YYYYMM InSTOCK newstock reserve 201701 10 3 201702 5 4 3 201703 2 8 201704 4 8
Is there a way to unpivot like this with Pentaho or perhaps a SQL query?
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Answer
Yes, you could use SQL or Pentaho. With Pentaho you use the step Row denormaliser.
To use the Row denormaliser, you need to previously sort your rows by the columns you use to group your unpivot operation. In the operator, you define the group columns, the key column to perform the unpivot, and the new columns:
- Target fieldname is the name of the new column
- Value fieldname is the name of the incoming column you use to fill this Target fieldname
- Key value is the value that the Key field (column) you selected above to perform the unpivot. In your example Key value and Target fieldname have the same values, but you could define a different column name for your values.