In our project, we want to store ECG waveform time series data. The sampling frequency of ECG is 200Hz, which means for 24-hour data, the number of time points is over 11 millions!
Currently, when we query the influxDB for a 24-hour continuous data, time cost is around 20 seconds in python using aioinflux(Official influx python cost 1 min). I tried to work with multiprocessing, but not much help which only down the query to around 17 seconds.
My question is how could we optimize the performance of influxDB. I mean which configuration should we change to improve the query time? Our hardware is 16GB memory with 256GB SSD.
Thank for the help.
