Handling / uploading multi-dimensional timeseries data

Hi there, I recently acquired a lidar ceilometer and I’m trying to figure out the best way of writing the data for it to the database. For each time point there’s about a half dozen 4000 point float arrays it writes of the linear depolarization ratio at 8 meter intervals among other science-y things.

i.e. [2021-08-24T23:56:20Z, [n1, n2, n3, … , n4000]]

I use the Python API for uploading data from all the weather instrumentation I use, but I can’t find any documentation on how to upload arrays and what types of arrays are even support? How would one go about doing this?

I’m using InfluxDB 1.8 I think, whichever the latest windows server compatible one is, if that matters.

Hi Thomas,

Did you make any progress here? In your example, to me all that is possible is to have height as a key. The constraint is that this dimension is represented as a character and therefore can’t be filtered across a range of values, and perhaps leads to high cardinality.