I might need to create 100,000s - 1,000,000 of individual timeseries. I would like to understand if the number of timeseries impacts the API performance. e.g. retrieving data points for 1 of the timeseries. Would the API response be similar if I had 100 or 1 million timeseries?
Also is there a maximum number of timeseries that can be created per CDF project?
Best answer by Thomas Sjolshagen
Hi
We would not expect to see any real and notable performance hit due to the number of time series in existence for a project when you do a data point retrieval (or metadata retrieval) for a specific time series using the Time Series API.
If there is a performance hit, it is most likely going to be very minor and because the # of time series affects our ability to keep the cache(s) current for that specific time series at the time you’re reading it (probabilities).
Hope that helps!
Hi
We would not expect to see any real and notable performance hit due to the number of time series in existence for a project when you do a data point retrieval (or metadata retrieval) for a specific time series using the Time Series API.
If there is a performance hit, it is most likely going to be very minor and because the # of time series affects our ability to keep the cache(s) current for that specific time series at the time you’re reading it (probabilities).
Hope that helps!
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