Handling / uploading multi-dimensional timeseries data

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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.

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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.

Will