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Suppose we have a (assume relational) source table
Product_Id Month Sales
1 Jan x
1 Feb x
. . .
. . .
1 Dec x
2 Jan x
2 Feb x
. . .
. . .
2 Dec x
3 Jan x
3 Feb x
. . .
. . .
3 Dec x
. . .
. . .
and so on. Assume that there could be any number
of product keys and for each product key the sales
figures (denoted by 'x' are stored for each of the
12 months from Jan to Dec). So we want the result
in the target table in the following form.
Product_id Jan Feb March.. Dec
1 x x x x
2 x x x x
3 x x x x
.
.
So how will you design the ETL mapping for this case ,
explain in temrs of transformations.
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Answer Posted / mukesh
Use an aggregator. Pass the ports (Product_id, Month,
Sales) to aggregator, group by Product_ID, manually create
12 ports for month like Jan, Feb, Mar, etc. Include an
expression for 12 ports,
Jan -> MAX(IIF(Month
= Jan,Sales)), Feb -> MAX(IIF(Month = Feb, Sales)), etc.
Without max, it will take last row..
Move these ports to the next transformation or to the
target. This should give the required output.
| Is This Answer Correct ? | 1 Yes | 1 No |
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