Hello Forum,
If my dataset has all the transformation already necessary to meeting my loading requirements, is there any advantage of placing a dummy transformer between the Dataset and TDML stages.
For example,
DS-->T-->TDML
Versus
DS-->TDML
Any performance and/or reject handling differences?
Thanks in advance.
Greg
Transformer between Dataset and Multiload
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No advantage whatsoever. A Copy stage would be much less impact as a placeholder, and also give you the ability to suck out a few rows (for audit/sampling) to a second output link. Indeed, if it's a straight through copy, the Copy stage is likely to be "optimized out" when the job is compiled.
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Any contribution to this forum is my own opinion and does not necessarily reflect any position that IBM may hold.
Any contribution to this forum is my own opinion and does not necessarily reflect any position that IBM may hold.
However, If need to have a reject handling based on the given business logic even in future, you can add a transformer. If there is no functionality required, its better to remove, because it will always consume its own resource.
Impossible doesn't mean 'it is not possible' actually means... 'NOBODY HAS DONE IT SO FAR'