Best approach for large number of counters

Hey all,

Hope i’m in the right place for this kind of question. I’m quite new to time series databases, have just set up my first influxDB and trying to teach myself how to approach data storage efficiently.

I have a Python script running analyzing global flights, every 15 seconds it counts the number of in and outbound flights for a few hundred airports from the same API (a json with all active flights). since all these counts have the same timestamp on the surface it makes sense i would have them all in one measurement, although this can lead to ~1000 values in that one measurement. Is this the right way to approach this or should i create a measurement for each airport even tho they come from the same source and have the same timestamp?