Hello Everyone,
I have two datasets, which I essentially want to stack on one another. One datasets has data on rivers, streams, and brooks, while the other has information on ponds, lakes, and reservoirs. They all have the same attributes, so I just want to add the pond, lakes, and reservoir data as new rows in the river, streams, and brooks dataset. Can someone please help me figure this out?
+3FeatureJoiner → full join
PS: i am also a noob and thought this was the most convenient solution.
I just tried a Counter and this also just combines the two datasets with the added benefit of giving an ID to all features
+47FeatureJoiner → full join
PS: i am also a noob and thought this was the most convenient solution. I just tried a Counter and this also just combines the two datasets with the added benefit of giving an ID to all features
If they have the same attribute structure you can simply connect them both to a single input port on the next transformer you want to use. A FeatureJoiner set to full join if there’s no matches in the attributes will work as well, but may be a bit confusing because that’s not what it’s meant for.
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