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In the extractor I wanted to ingest the datapoints for the created timeseries in the given dataset.even though its ingesting datapoints for the created timeseries But also ingesting datapoints for timeseries which are not available or not created. It's also creating timeseries and ingesting datapoints.OR is there any way to add config or mapping for extractor??
We would like to change a name of our dataset in Fusion (specifically data set id=7661001648160088 on statnett, test), but get the error message [ { "status": 400, "message": "Either set must be populated or setNull must be true." }]` The dataset has related timeseries and asssets. What does it mean that the dataset must be populated? And what are we missing?
I am attempting to run the python file associated with the Data Modeling hands-on lab (https://colab.research.google.com/drive/11NdrGUzFhbwsOlKqXVfYRqu9s1DzAw4b?usp=sharing). I am receiving the same error every time the ‘plot’ function is called: “TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type”. After some debugging, the data seems to be in a dataframe data type. I suspect there is some version discrepancy between numpy and pandas, has anyone else seen this error? Thank you, Adam
Hi There,How do you configure the state of OPC-UA extractor in the Raw layer?I know that you can do it through various types of state stores including InfluxDB or local, but I have a dataset and a table in the Staging area which I would like to get populated.Thanks in advance!
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